{ "meta": { "directory": "mcp-servers", "label": "MCP Servers", "blurb": "Model Context Protocol servers. The standard way for any agent to read or write to any system.", "urlPrefix": "/directories/mcp", "detailUrl": "https://enterprisedna.co/directories/mcp", "count": 2598, "generatedAt": "2026-06-13T23:07:35.012Z" }, "entries": [ { "slug": "06ketan-substack-ops", "name": "06ketan/substack-ops", "vendor": "Various", "tagline": "Standalone Substack CLI + 26-tool MCP server. Your IDE drafts the replies. Zero AI API keys.", "description": "A standalone CLI and MCP server for Substack that includes 26 tools. 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It implements the Model Context Protocol to enable agent-to-device interaction.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-powered smart home automations", "useCases": [ "Automating smart home device control via AI agents", "Integrating Matter devices with AI assistant workflows", "Prototyping AI-driven home automation" ], "pros": [ "Enables AI agents to control Matter devices directly", "Implements standard MCP protocol for interoperability", "Lightweight JavaScript server" ], "cons": [ "Low adoption with only 8 GitHub stars", "Requires additional Matter controller hardware setup", "Niche use case limited to developers" ], "tags": [], "featured": false, "tier": "curated", "stars": 8, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2025-08-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/0x1abin/matter-controller-mcp", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/0x1abin-matter-controller-mcp" }, { "slug": "0xdegenmo-lighter-mcp", "name": "0xDegenMo/lighter-mcp", "vendor": "Various", "tagline": "0xDegenMo/lighter-mcp — indexed from awesome-mcp-servers-punkpeye", "description": "A lightweight Python implementation of a Model Context Protocol (MCP) server. It provides a minimal interface for serving context to AI models, sourced from the awesome-mcp-servers collection.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring the Model Context Protocol who want a simple starting point", "useCases": [ "Integrating custom context into AI model workflows", "Prototyping MCP-based applications", "Learning the Model Context Protocol with a simple codebase" ], "pros": [ "Lightweight and minimal Python codebase", "Easy to understand and modify for experimentation" ], "cons": [ "Very early stage with only 1 star and limited community", "Minimal documentation and usage examples", "Unclear production readiness or ongoing maintenance" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/0xDegenMo/lighter-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "fastmcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/0xdegenmo-lighter-mcp" }, { "slug": "0xmassi-webclaw", "name": "0xMassi/webclaw", "vendor": "Various", "tagline": "Fast, local-first web content extraction for LLMs. Scrape, crawl, extract structured data — all from Rust. CLI, REST API, and MCP server.", "description": "A Rust-based tool for fast, local-first web content extraction. It provides a CLI, REST API, and MCP server for scraping, crawling, and extracting structured data. Designed to feed content directly into LLM workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing fast, local web content extraction for LLM pipelines", "useCases": [ "Extracting structured data from web pages for LLM training datasets", "Crawling websites to build custom knowledge bases", "Integrating web content into AI pipelines via REST API or MCP server" ], "pros": [ "Fast performance due to Rust implementation", "Local-first design keeps data private and offline", "Multiple interfaces (CLI, API, MCP) for flexible integration" ], "cons": [ "Requires Rust toolchain to build from source", "Limited community and documentation compared to established scraping tools", "Primarily optimized for LLM use cases, not general-purpose web scraping" ], "tags": [ "ai", "ai-agents", "ai-scraping", "cli", "crawler", "data-extraction", "firecrawl-alternative", "html-to-markdown" ], "featured": false, "tier": "curated", "stars": 1269, "language": [ "Rust" ], "license": "AGPL-3.0", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/0xMassi/webclaw", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [ "microsoft-markitdown" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/0xmassi-webclaw" }, { "slug": "0xshellming-mcp-summarizer", "name": "0xshellming/mcp-summarizer", "vendor": "Various", "tagline": "MCP Server for AI Summarization", "description": "0xshellming/mcp-summarizer is an MCP (Model Context Protocol) server implemented in JavaScript that provides AI-driven text summarization. It exposes a summarization tool via the MCP protocol, allowing clients to send text and receive concise summaries.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a straightforward MCP server for text summarization in their AI toolchains", "useCases": [ "Add summarization capabilities to MCP-enabled applications", "Summarize lengthy documents or chat logs in real-time", "Integrate with MCP-based automation pipelines for content digest" ], "pros": [ "Lightweight and simple MCP server written in JavaScript", "Easy to integrate into existing MCP ecosystems", "Open source with active community (161 stars)" ], "cons": [ "Limited to summarization only; no other NLP features", "Relies on external AI models or APIs, introducing dependency and potential cost", "Documentation may be minimal beyond the repository README" ], "tags": [ "ai", "ai-summarizer", "book", "bookreader", "deepseek-r1", "ebook", "gemini", "summarizer" ], "featured": false, "tier": "curated", "stars": 161, "language": [ "JavaScript" ], "lastUpdated": "2025-02-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/0xshellming/mcp-summarizer", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/0xshellming-mcp-summarizer" }, { "slug": "1000ri-jp-atsurae", "name": "1000ri-jp/atsurae", "vendor": "Various", "tagline": "MCP Server for AI-powered video editing — Let Claude, GPT, or any AI agent edit videos through natural language", "description": "Atsurae is an MCP server that exposes video editing capabilities to AI agents via natural language. It translates commands from models like Claude or GPT into programmatic video edits using Python.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers prototyping AI-assisted video editing workflows", "useCases": [ "Automating repetitive video trimming and concatenation tasks", "Enabling non-technical users to edit videos through chat interfaces", "Integrating AI-driven video editing into existing workflows or pipelines" ], "pros": [ "Leverages familiar MCP protocol for easy agent integration", "Written in Python, accessible to a wide developer audience", "Enables natural language control of video editing without manual scripting" ], "cons": [ "Very early stage with only 1 GitHub star and minimal community adoption", "Limited documentation and unknown reliability for complex edits", "Dependent on external AI models for accurate command interpretation" ], "tags": [ "ai", "claude", "ffmpeg", "mcp", "model-context-protocol", "video-editing" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-02-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/1000ri-jp/atsurae", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/1000ri-jp-atsurae" }, { "slug": "123ergo-unphurl-mcp", "name": "123Ergo/unphurl-mcp", "vendor": "Various", "tagline": "Domain intelligence MCP server for Claude Code, Cursor, and AI agents", "description": "An MCP server that provides domain intelligence to AI agents like Claude Code and Cursor. It extracts and structures metadata from URLs using TypeScript, enabling agents to make context-aware decisions about domains.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude Code or Cursor who need quick domain metadata lookups without leaving their AI assistant.", "useCases": [ "Retrieve domain ownership and registration details for a given URL", "Check domain reputation or security status during agent workflows", "Enrich AI agent responses with structured domain metadata" ], "pros": [ "Integrates directly with popular AI coding assistants via MCP", "Written in TypeScript, easy to extend or audit", "Lightweight and focused on a single domain intelligence task" ], "cons": [ "No stars or community traction yet, reliability unproven", "Requires manual setup of MCP server configuration", "Limited to domain-level data, no deeper page content analysis" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/123Ergo/unphurl-mcp", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/123ergo-unphurl-mcp" }, { "slug": "13bm-ghidramcp", "name": "13bm/GhidraMCP", "vendor": "Various", "tagline": "Active Socket based MCP Server for Ghidra", "description": "GhidraMCP is an open-source Java server that implements the Model Context Protocol over sockets for the Ghidra reverse engineering framework. It enables AI assistants to interact with Ghidra programmatically, allowing automated analysis and script execution.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Reverse engineers and security researchers using Ghidra who want to augment their workflow with AI agents.", "useCases": [ "Integrating AI coding assistants with Ghidra for automated reverse engineering", "Triggering Ghidra scripts or analyses from an AI agent via MCP calls", "Building custom tooling that combines Ghidra's capabilities with large language models" ], "pros": [ "Socket-based communication is efficient and language-agnostic for clients", "Active project with 119 stars and ongoing development", "Leverages the MCP standard for interoperability with many AI tools" ], "cons": [ "Requires a running Ghidra instance and Java setup, increasing deployment complexity", "Documentation and community support may still be limited compared to larger projects", "Scope is narrow – only useful if you already work with Ghidra and want AI integration" ], "tags": [], "featured": false, "tier": "curated", "stars": 119, "language": [ "Java" ], "license": "Apache-2.0", "lastUpdated": "2026-05-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/13bm/GhidraMCP", "relations": { "works_in": [ "cline", "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "lauriewired-ghidramcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/13bm-ghidramcp" }, { "slug": "1luvc0d3-metabase-mcp", "name": "1luvc0d3/metabase-mcp", "vendor": "Various", "tagline": "MCP server connecting Claude to Metabase for natural language data analysis, dashboard management, and SQL queries", "description": "An MCP server that lets Claude interact with Metabase using natural language. It enables data analysis, dashboard management, and SQL query execution through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to query and manage Metabase through natural language conversations with Claude.", "useCases": [ "Ask Claude to generate SQL queries from natural language questions against Metabase data", "Manage Metabase dashboards and cards via conversational commands", "Perform ad-hoc data analysis by describing what you want to see" ], "pros": [ "Bridges Claude's reasoning with Metabase's analytics without manual SQL writing", "Supports both query generation and dashboard management in one tool", "Written in TypeScript, easy to integrate into existing MCP workflows" ], "cons": [ "Low community adoption with only 3 GitHub stars", "Requires a running Metabase instance and MCP-compatible client", "Limited documentation and support due to early-stage project" ], "tags": [ "anthropic", "claude", "data-analysis", "mcp", "metabase", "model-context-protocol", "natural-language", "sql" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/1luvc0d3/metabase-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/1luvc0d3-metabase-mcp" }, { "slug": "1mcp-agent", "name": "1mcp/agent", "vendor": "Various", "tagline": "A unified Model Context Protocol server implementation that aggregates multiple MCP servers into one.", "description": "1mcp/agent is a TypeScript library that aggregates multiple Model Context Protocol (MCP) servers into a single unified server. It provides a single endpoint for clients to interact with multiple MCP servers without managing separate connections.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based agents or tools that need to interact with multiple MCP servers", "useCases": [ "Combine multiple MCP servers into one endpoint for simpler client configuration", "Build an agent that can route requests to different MCP servers based on context", "Reduce the number of network connections needed when using several MCP servers" ], "pros": [ "Simplifies client setup by exposing a single MCP server interface", "Open source with active development (447 stars on GitHub)", "Written in TypeScript for type safety and broad ecosystem compatibility" ], "cons": [ "Introduces a single point of failure if the aggregator goes down", "Adds an extra layer of abstraction that may increase latency", "Limited to MCP protocol servers; cannot aggregate non-MCP services" ], "tags": [ "mcp", "mcp-client", "mcp-gateway", "mcp-proxy", "mcp-server", "unified-mcp-server" ], "featured": false, "tier": "curated", "stars": 447, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/1mcp-app/agent", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/1mcp-agent" }, { "slug": "20alexl-claude-engram", "name": "20alexl/claude-engram", "vendor": "Various", "tagline": "Persistent memory and session intelligence for AI coding assistants. Auto-tracks mistakes, decisions, and context via hooks. Mines your full session history for patterns, predictio", "description": "Claude-Engram is a Python tool that provides persistent memory for AI coding assistants by hooking into sessions to automatically track mistakes, decisions, and context. It mines full session history to surface patterns, predictions, and enable cross-session search.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want persistent context and history search for AI coding assistants", "useCases": [ "Track recurring coding errors across multiple AI-assisted sessions", "Recall past design decisions without repeating them", "Search through previous assistant interactions for relevant context" ], "pros": [ "Automatically captures session context without manual logging", "Supports cross-session search, making history reusable", "Lightweight hook-based integration with existing workflows" ], "cons": [ "Small community and limited support due to only 15 stars", "Requires manual set up of hooks into coding assistant sessions", "Scope is limited to coding assistant interactions, not general memory" ], "tags": [ "claude", "claude-code", "developer-tool", "hooks", "mcp-server", "model-control-protocol", "obsisidan", "ollama" ], "featured": false, "tier": "curated", "stars": 15, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/20alexl/claude-engram", "relations": { "works_in": [ "claude-code", "cline", "continue", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "oraios-serena", "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/20alexl-claude-engram" }, { "slug": "21st-dev-magic-mcp", "name": "21st-dev/Magic-MCP", "vendor": "Various", "tagline": "It's like v0 but in your Cursor/WindSurf/Cline. 21st dev Magic MCP server for working with your frontend like Magic", "description": "An MCP server that brings AI-assisted frontend development into editors like Cursor, Windsurf, and Cline. It generates and modifies frontend code based on natural language prompts, similar to v0 but integrated directly into the coding environment. Built with TypeScript, it leverages the Model Context Protocol to connect AI models with the editor.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using AI-assisted editors who want to accelerate frontend prototyping and iteration", "useCases": [ "Generate UI components from natural language descriptions", "Modify existing frontend code with inline AI suggestions", "Prototype layouts and pages without leaving the editor" ], "pros": [ "Integrates seamlessly with popular AI-powered editors", "Open-source with strong community adoption (nearly 5k stars)", "TypeScript codebase makes it easy to extend or customize" ], "cons": [ "Requires an editor that supports the Model Context Protocol", "Depends on external AI models for code generation", "Limited to frontend tasks; not a general-purpose coding assistant" ], "tags": [], "featured": false, "tier": "curated", "stars": 4966, "language": [ "TypeScript" ], "lastUpdated": "2026-02-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/21st-dev/magic-mcp", "relations": { "works_in": [ "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "bolt-new" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/21st-dev-magic-mcp" }, { "slug": "2niuhe-plantuml-web", "name": "2niuhe/plantuml_web", "vendor": "Various", "tagline": "Generate PlantUML Diagrams as PNG/SVG with Embedded Web Viewer", "description": "A Python tool that generates PlantUML diagrams as PNG or SVG files and provides an embedded web viewer for preview. It wraps PlantUML rendering into a simple local server workflow.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a simple local server to preview and export PlantUML diagrams", "useCases": [ "Render PlantUML source files to PNG or SVG images", "Preview diagrams in a browser during development", "Integrate diagram generation into documentation pipelines" ], "pros": [ "Lightweight Python wrapper with minimal dependencies", "Embedded web viewer enables quick visual feedback", "Supports both PNG and SVG output formats" ], "cons": [ "Small community with only 15 GitHub stars", "Limited documentation and examples", "Requires PlantUML and Java runtime installed separately" ], "tags": [ "llm-tool", "mcp", "nicegui", "plantuml" ], "featured": false, "tier": "curated", "stars": 15, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2025-08-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/2niuhe/plantuml_web", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "antv-mcp-server-chart", "mckinsey-vizro-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/2niuhe-plantuml-web" }, { "slug": "2niuhe-qrcode-mcp", "name": "2niuhe/qrcode_mcp", "vendor": "Various", "tagline": "mcp tool to generate qrcode", "description": "An MCP (Model Context Protocol) tool for generating QR codes. It provides a simple interface to create QR codes from input data, designed for integration with MCP-compatible applications and AI assistants.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a straightforward QR code generator for MCP-based applications or AI assistants", "useCases": [ "Generate QR codes for URLs or text within an MCP workflow", "Integrate QR code creation into AI assistant responses", "Automate QR code generation in developer toolchains" ], "pros": [ "Lightweight and focused on a single task", "Easy to integrate via the MCP protocol", "Written in Python, widely accessible" ], "cons": [ "Limited to basic QR code generation with no advanced options", "Small community and low star count (11) may indicate limited support", "No built-in customization for colors, logos, or error correction levels" ], "tags": [], "featured": false, "tier": "curated", "stars": 11, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-07-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/2niuhe/qrcode_mcp", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/2niuhe-qrcode-mcp" }, { "slug": "34892002-bilibili-mcp-js", "name": "34892002/bilibili-mcp-js", "vendor": "Various", "tagline": "Bilibili video search MCP (Model Context Protocol) service - 哔哩哔哩视频搜索MCP服务", "description": "An open-source JavaScript service that implements the Model Context Protocol (MCP) for searching Bilibili videos. It exposes a standardized interface that AI models or MCP-compatible clients can query to retrieve Bilibili video results. The project has 171 GitHub stars and is maintained by various contributors.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or chatbots that need to search Chinese video content from Bilibili", "useCases": [ "Integrate Bilibili video search into an AI assistant via MCP", "Build a custom search tool for Bilibili content in MCP workflows", "Add Bilibili search capabilities to an existing MCP-compatible agent" ], "pros": [ "Follows the MCP standard for easy integration with AI models", "Written in JavaScript, widely accessible for Node.js developers", "Open source with a growing community (171 stars)" ], "cons": [ "Limited to Bilibili platform only, no multi-source search", "Dependent on the MCP ecosystem and client support", "Not an official Bilibili API wrapper; reliability tied to third-party maintenance" ], "tags": [ "bilibili", "mcp" ], "featured": false, "tier": "curated", "stars": 171, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/34892002/bilibili-mcp-js", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "klavis-ai-youtube" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/34892002-bilibili-mcp-js" }, { "slug": "3akhp-prts-mcp", "name": "3aKHP/prts-mcp", "vendor": "Various", "tagline": "MCP Server for Arknights PRTS Wiki and local game data", "description": "An MCP server that provides access to Arknights PRTS Wiki content and local game data. It enables AI agents to query wiki pages, search for operators, and retrieve game mechanics information through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Arknights players and developers building AI-assisted tools for game data retrieval", "useCases": [ "Query Arknights operator stats and skills from PRTS Wiki", "Search game mechanics and stage data for strategy planning", "Integrate Arknights game data into AI-assisted tools or workflows" ], "pros": [ "Direct access to up-to-date wiki and local game data", "Lightweight Python implementation with MCP standard", "Useful for Arknights players and tool builders" ], "cons": [ "Very low community adoption (2 stars) and limited support", "Narrow focus on a single game limits general utility", "Requires local setup and Python environment" ], "tags": [ "ai-agent", "anthropic", "arknights", "claude", "fanfiction", "game-data", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/3aKHP/prts-mcp", "relations": { "works_in": [ "cline", "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/3akhp-prts-mcp" }, { "slug": "3knightcz-codebeamer-mcp", "name": "3KniGHtcZ/codebeamer-mcp", "vendor": "Various", "tagline": "3KniGHtcZ/codebeamer-mcp — indexed from awesome-mcp-servers-punkpeye", "description": "A Model Context Protocol server that connects AI assistants to codeBeamer ALM (Application Lifecycle Management) data. It exposes codeBeamer items, requirements, and test cases through a standardized MCP interface for querying and retrieval.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and QA engineers using codeBeamer who want AI-assisted access to their ALM data", "useCases": [ "Retrieve requirements and specifications from codeBeamer during development", "Query test cases and their statuses for quality assurance workflows", "Access codeBeamer item details and relationships via natural language prompts" ], "pros": [ "Enables direct AI access to ALM data without manual lookups", "Written in TypeScript for type safety and broad compatibility", "Lightweight integration with existing MCP-based tools" ], "cons": [ "Very small community with only 6 stars and limited adoption", "Requires a running codeBeamer instance and proper authentication setup", "No active maintenance or documentation beyond the repository" ], "tags": [], "featured": false, "tier": "curated", "stars": 6, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/3KniGHtcZ/codebeamer-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/3knightcz-codebeamer-mcp" }, { "slug": "4dmrkey-cryptopolitan-mcp", "name": "4dmrkey/cryptopolitan-mcp", "vendor": "Various", "tagline": "Cryptopolitan MCP Server — Real-time crypto news, analysis, and price predictions for AI agents via Model Context Protocol", "description": "A Model Context Protocol server that provides real-time cryptocurrency news, analysis, and price predictions. It exposes data from Cryptopolitan for AI agents to query via MCP.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need real-time crypto news and analysis", "useCases": [ "Fetching live crypto news for AI trading agents", "Integrating market analysis into automated decision systems", "Retrieving price predictions to inform agent actions" ], "pros": [ "Simple MCP integration for JavaScript-based AI projects", "Delivers current crypto news directly to agents", "Lightweight server with focused data scope" ], "cons": [ "Limited to a single news source (Cryptopolitan)", "Low GitHub stars suggest minimal community adoption", "Potential reliability and maintenance concerns due to low activity" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/4dmrkey/cryptopolitan-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "exa-labs-exa-mcp-server", "mindsdb-mindsdb" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/4dmrkey-cryptopolitan-mcp" }, { "slug": "4everland-4everland-hosting-mcp", "name": "4everland/4everland-hosting-mcp", "vendor": "Various", "tagline": "🎖️ 📇 🏠 🍎 🐧 - An MCP server implementation for 4EVERLAND Hosting enabling instant deployment of AI-generated code to decentralized storage networks like Greenfield, IPFS, and A", "description": "An MCP server that integrates with 4EVERLAND Hosting, enabling instant deployment of AI-generated code to decentralized storage networks such as Greenfield, IPFS, and Arweave. Built in TypeScript, it provides a standardized interface for deploying static sites and applications through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agent workflows that need to deploy static content to decentralized storage", "useCases": [ "Deploying AI-generated static sites to IPFS via MCP", "Publishing code to decentralized storage as part of an agent workflow", "Quickly hosting frontend builds on Greenfield or Arweave" ], "pros": [ "Offloads deployment complexity to a dedicated MCP server", "Supports multiple decentralized storage backends", "Written in TypeScript for easy integration with JavaScript/TypeScript projects" ], "cons": [ "Low GitHub star count suggests limited community adoption", "Requires 4EVERLAND Hosting account and MCP client setup", "Deployment speed may vary depending on network conditions of the underlying storage" ], "tags": [], "featured": false, "tier": "curated", "stars": 4, "language": [ "TypeScript" ], "lastUpdated": "2025-06-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/4everland/4everland-hosting-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/4everland-4everland-hosting-mcp" }, { "slug": "6figr-com-jobgpt-mcp-server", "name": "6figr-com/jobgpt-mcp-server", "vendor": "Various", "tagline": "MCP server for JobGPT — search jobs, auto-apply, generate resumes, and track applications from Claude, Cursor, Windsurf, and any MCP client", "description": "This is an MCP server that connects JobGPT functionality to any MCP client like Claude, Cursor, or Windsurf. It allows users to search jobs, auto-apply, generate resumes, and track applications directly from those interfaces.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to automate job hunting through AI assistants", "useCases": [ "Searching for jobs from within an AI assistant", "Automating job applications with generated resumes", "Tracking application statuses across multiple platforms" ], "pros": [ "Works with multiple popular MCP clients", "Automates repetitive job application tasks", "Open source TypeScript project with clear integration" ], "cons": [ "Low star count (8) indicates limited community adoption", "Requires MCP client setup and configuration", "Depends on external JobGPT API availability and reliability" ], "tags": [ "ai", "anthropic", "auto-apply", "career", "claude", "cursor", "job-automation", "job-search" ], "featured": false, "tier": "curated", "stars": 8, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/6figr-com/jobgpt-mcp-server", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/6figr-com-jobgpt-mcp-server" }, { "slug": "82ch-mcp-dandan", "name": "82ch/MCP-Dandan", "vendor": "Various", "tagline": "MCP Security Solution for Agentic AI — real-time proxying, behavior analysis, and malicious tool detection", "description": "82ch/MCP-Dandan is an open-source Python tool that provides real-time proxying, behavior analysis, and malicious tool detection for MCP-based agentic AI systems. It acts as a security layer to monitor and filter interactions between agents and tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building or deploying MCP servers who need a lightweight security layer for agent interactions.", "useCases": [ "Securing MCP servers against unauthorized or harmful tool calls", "Monitoring AI agent behavior in real time to detect anomalies", "Integrating into agent workflows to block malicious actions" ], "pros": [ "Real-time security monitoring for agent-tool interactions", "Behavior analysis adds contextual threat detection", "Open-source Python implementation for easy customization" ], "cons": [ "Small community with only 63 stars, indicating limited adoption", "Scope is narrow to MCP-based agent systems, not general AI security", "May lack extensive documentation and production hardening" ], "tags": [ "ai-security", "ai-security-tool", "ai-tools", "awesome-lists", "mcp", "mcp-gateway", "mcp-guard", "mcp-host" ], "featured": false, "tier": "curated", "stars": 63, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-12-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/82ch/MCP-Dandan", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/82ch-mcp-dandan" }, { "slug": "8b-is-smart-tree", "name": "8b-is/smart-tree", "vendor": "Various", "tagline": "Smart Tree: not just a tree, a philosophy. A context-aware, AI-crafted replacement for 20+ tools with MEM8 quantum compression, semantic search, AST-smart editing, and partnership", "description": "A Rust-based developer tool that replaces multiple command-line utilities with a context-aware, AI-assisted interface. It combines semantic search, AST-smart code editing, and partnership memory to enhance project navigation and manipulation.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want an all-in-one, context-aware command-line tool with AI-assisted code understanding", "useCases": [ "Browsing file trees with semantic search queries", "Editing source code with AST-aware transformations", "Leveraging partnership memory for repeated project patterns" ], "pros": [ "Rust implementation ensures fast performance and memory safety", "249 GitHub stars indicate growing community interest", "Unifies multiple tools into a single cohesive interface" ], "cons": [ "Relies on hype-driven description without concrete documented features", "Requires trust in proprietary 'MEM8 quantum compression' terminology", "Potential learning curve due to abstract tool-switching model" ], "tags": [ "ai", "analysis", "anthropic", "blazingly-fast", "claude", "claude-code", "compression", "context" ], "featured": false, "tier": "curated", "stars": 249, "language": [ "Rust" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/8b-is/smart-tree", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/8b-is-smart-tree" }, { "slug": "8ensmith-mcp-open-library", "name": "8enSmith/mcp-open-library", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server for the Internet Archive's Open Library API that enables AI assistants to search for book and author information.", "description": "A Model Context Protocol (MCP) server that wraps the Internet Archive's Open Library API. It lets AI assistants search for books and authors by querying Open Library's public data.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need quick access to book and author metadata", "useCases": [ "Look up book details by title or author", "Retrieve author information and bibliography", "Integrate book search into AI-powered research or reading apps" ], "pros": [ "Leverages the extensive Open Library catalog with millions of records", "Simple MCP interface makes it easy to plug into any MCP-compatible AI assistant", "Written in TypeScript for type safety and maintainability" ], "cons": [ "Depends on Open Library's public API, which may have rate limits or downtime", "Limited to book and author data; no support for other media types", "Relatively small community (74 stars) may mean slower updates or fewer contributions" ], "tags": [ "ai", "assistants", "authors", "books", "internet-archive", "mcp", "mcp-server", "modelcontextprotocol" ], "featured": false, "tier": "curated", "stars": 74, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/8enSmith/mcp-open-library", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/8ensmith-mcp-open-library" }, { "slug": "8randonpickart5-alderpost-mcp", "name": "8randonpickart5/alderpost-mcp", "vendor": "Various", "tagline": "8randonpickart5/alderpost-mcp — indexed from awesome-mcp-servers-punkpeye", "description": "A JavaScript-based MCP server listed in the awesome-mcp-servers collection. It provides a tool interface for AI assistants to interact with external services or data through the Model Context Protocol. The repository has no stars or forks, indicating it is a minimal or early-stage implementation.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring MCP server implementations in JavaScript", "useCases": [ "Integrating AI assistants with external APIs via MCP tools", "Building custom tool sets for AI agents using JavaScript", "Exploring MCP server patterns for prototyping" ], "pros": [ "Written in JavaScript for broad Node.js compatibility", "Open source for customization and learning", "Listed in a curated directory of MCP servers" ], "cons": [ "No stars or forks suggests minimal adoption or incomplete state", "Unclear functionality from repository name alone", "Lacks documented usage examples or tests" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/8randonpickart5/alderpost-mcp", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/8randonpickart5-alderpost-mcp" }, { "slug": "98lukehall-renoun-mcp", "name": "98lukehall/renoun-mcp", "vendor": "Various", "tagline": "Structural observability for AI conversations. Detects loops, stuck states, breakthroughs, and convergence patterns across 17 channels without analyzing content. MCP server + REST", "description": "Renoun MCP is a structural observability tool for AI conversations that detects loops, stuck states, breakthroughs, and convergence patterns across 17 channels without analyzing content. It operates as an MCP server with a REST API, providing metadata-level insights into conversation flow.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building multi-agent systems who need structural conversation monitoring without content inspection.", "useCases": [ "Monitor multi-channel AI conversations for structural issues like loops or deadlocks", "Identify breakthrough moments or convergence patterns in agent interactions", "Integrate observability into MCP-based AI workflows via REST API" ], "pros": [ "Privacy-preserving by analyzing structure, not content", "Supports 17 channels for broad coverage", "Dual interface (MCP server + REST API) for flexible integration" ], "cons": [ "Very early stage with only 1 star and minimal community adoption", "Limited documentation and examples due to new project status", "Python-only implementation may not suit all tech stacks" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "lastUpdated": "2026-03-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/98lukehall/renoun-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/98lukehall-renoun-mcp" }, { "slug": "a-25-ios-mcp-code-quality-server", "name": "a-25/ios-mcp-code-quality-server", "vendor": "Various", "tagline": "This server enables AI assistants to run Xcode tests, perform linter analysis, and provide detailed feedback on iOS projects through structured, actionable reports.", "description": "This server enables AI assistants to run Xcode tests, perform linter analysis, and provide detailed feedback on iOS projects through structured, actionable reports. It is built in TypeScript and integrates via the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "iOS developers who want AI-assisted code quality checks and test automation", "useCases": [ "Automate iOS test execution from an AI assistant", "Run linter analysis on Swift/Objective-C codebases", "Generate structured code quality reports for iOS projects" ], "pros": [ "Provides structured, actionable feedback for iOS development", "Integrates directly with AI assistants via MCP", "Open source with a small, focused codebase" ], "cons": [ "Limited to iOS/Xcode projects only", "Low community adoption (7 stars)", "Requires manual setup and configuration" ], "tags": [ "autotest", "linter", "model-context-protocol-server", "swift", "swiftlint", "xcode" ], "featured": false, "tier": "curated", "stars": 7, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-09-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/a-25/ios-mcp-code-quality-server", "relations": { "works_in": [ "cline", "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/a-25-ios-mcp-code-quality-server" }, { "slug": "a2cr-a2cr", "name": "a2cr/a2cr", "vendor": "Various", "tagline": "MCP server for client-encrypted AI agent handoffs with WorkBaton and WorkStash", "description": "a2cr/a2cr is an MCP server that enables client-encrypted handoffs between AI agents using WorkBaton and WorkStash. It provides a standardized protocol for passing encrypted context and tasks between agents, ensuring data confidentiality during transfers.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building multi-agent systems that need encrypted context handoffs", "useCases": [ "Securely hand off a multi-step task from one AI agent to another", "Store and retrieve encrypted agent state with WorkStash", "Coordinate agent workflows where each agent receives only its authorized context" ], "pros": [ "Client-side encryption keeps sensitive agent data private during handoffs", "Standard MCP protocol makes integration with existing agent frameworks straightforward", "Lightweight Python implementation with no external dependencies beyond MCP" ], "cons": [ "Zero stars and no community adoption indicates early-stage or experimental project", "Limited documentation and examples for real-world deployment", "Requires both agents to support the same encryption and protocol version" ], "tags": [ "agent-memory", "ai", "ai-agents", "claude-code", "codex", "coding-agents", "context-management", "context-window" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/a2cr/a2cr", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "eyaltoledano-claude-task-master" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/a2cr-a2cr" }, { "slug": "aaronjmars-web3-research-mcp", "name": "aaronjmars/web3-research-mcp", "vendor": "Various", "tagline": "Deep Research for crypto - free & fully local", "description": "A free, local MCP server for deep research on cryptocurrency and Web3 topics. Built in TypeScript, it runs entirely on your machine to query and analyze blockchain data without external API dependencies.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need private, cost-free crypto research integrated with AI assistants", "useCases": [ "Perform local deep research on crypto projects and tokens", "Query blockchain data through an AI assistant interface", "Analyze Web3 topics privately without sending data to third parties" ], "pros": [ "Fully free and open source with no usage costs", "Runs locally, keeping sensitive research data private", "Lightweight TypeScript implementation easy to integrate" ], "cons": [ "May lack access to real-time or comprehensive on-chain data", "Limited community and documentation due to small project size (157 stars)", "Requires local setup and maintenance of the MCP environment" ], "tags": [ "mcp", "mcp-crypto", "mcp-server" ], "featured": false, "tier": "curated", "stars": 157, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/aaronjmars/web3-research-mcp", "relations": { "works_in": [ "cline", "claude-code", "cursor", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/aaronjmars-web3-research-mcp" }, { "slug": "aaronvick-echo-rift-mcp", "name": "AaronVick/ECHO_RIFT_MCP", "vendor": "Various", "tagline": "📇 ☁️ - MCP server for EchoRift infrastructure primitives (BlockWire, CronSynth, Switchboard, Arbiter). Makes EchoRift's agent infrastructure callable as MCP tools so any MCP clien", "description": "An MCP server that exposes EchoRift infrastructure primitives (BlockWire, CronSynth, Switchboard, Arbiter) as callable tools. Any MCP client can invoke these primitives to interact with EchoRift's agent infrastructure.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building agent systems on EchoRift who want to leverage MCP client tools", "useCases": [ "Managing distributed agent coordination via Switchboard", "Scheduling periodic agent tasks with CronSynth", "Arbitrating resource access or state among agents" ], "pros": [ "Uses the open MCP protocol for tool standardization", "Makes EchoRift primitives accessible from any MCP-compatible client", "Reduces integration friction for agent workflows" ], "cons": [ "Requires an existing EchoRift environment to function", "Limited documentation or community outside the repository", "Tied to EchoRift's infrastructure model" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/AaronVick/ECHO_RIFT_MCP", "relations": { "works_in": [ "cline", "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/aaronvick-echo-rift-mcp" }, { "slug": "aarsiv-groups-shipi-mcp-server", "name": "aarsiv-groups/shipi-mcp-server", "vendor": "Various", "tagline": "📇 ☁️ - Shipi MCP server to create shipments, track packages, and compare rates with 18 tools for various carriers. Supports [remote MCP](https://mcp.myshipi.com/api/mcp).", "description": "Shipi MCP server is a JavaScript tool that enables creating shipments, tracking packages, and comparing rates across 18 carrier tools. It supports remote MCP connections for integration with MCP-compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based shipping automation workflows", "useCases": [ "Create shipments programmatically via MCP", "Track packages across multiple carriers", "Compare shipping rates from 18 carrier tools" ], "pros": [ "Supports 18 different carrier tools for broad compatibility", "Offers remote MCP support for flexible deployment", "Written in JavaScript, easy to integrate into Node.js workflows" ], "cons": [ "Zero GitHub stars indicates minimal community adoption or testing", "No documentation on which specific carriers are supported", "Requires self-hosting or managing the MCP server infrastructure" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-02-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/aarsiv-groups/shipi-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/aarsiv-groups-shipi-mcp-server" }, { "slug": "aas-ee-open-websearch", "name": "Aas-ee/open-webSearch", "vendor": "Various", "tagline": "Multi-engine MCP server, CLI, and local daemon for agent web search and content retrieval — skill-guided workflows, no API keys.", "description": "A TypeScript-based MCP server, CLI, and daemon that enables agents to perform multi-engine web searches and content retrieval without requiring API keys. It uses skill-guided workflows to orchestrate searches across multiple engines and parse results locally.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building autonomous agents that need flexible, API-key-free web search integration", "useCases": [ "Letting autonomous agents search the web and retrieve page content", "Running local search pipelines without external API dependencies", "Integrating multi-engine search into MCP-compatible development workflows" ], "pros": [ "No API keys needed, reducing setup friction and costs", "Supports multiple search engines for diverse retrieval strategies", "Modular skill-guided workflow design for adaptable agent behavior" ], "cons": [ "Limited to web search and content retrieval, not a general-purpose MCP server", "Requires running a daemon or CLI process, adding operational overhead", "May depend on public search engines that could throttle or block automated access" ], "tags": [], "featured": false, "tier": "curated", "stars": 1338, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-05-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/Aas-ee/open-webSearch", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/aas-ee-open-websearch" }, { "slug": "aashari-mcp-server-aws-sso", "name": "aashari/mcp-server-aws-sso", "vendor": "Various", "tagline": "Node.js/TypeScript MCP server for AWS Single Sign-On (SSO). Enables AI systems (LLMs) with tools to initiate SSO login (device auth flow), list accounts/roles, and securely execute", "description": "A Node.js/TypeScript MCP server for AWS Single Sign-On. It initiates device authentication flow, lists accounts and roles, and executes AWS CLI commands using temporary credentials. This enables LLM-based tools to interact with AWS resources through secure SSO sessions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers integrating AI agents with AWS SSO-secured environments", "useCases": [ "Initiate AWS SSO device authentication from an AI agent", "List available AWS accounts and roles for the authenticated session", "Execute AWS CLI commands with temporary credentials via MCP" ], "pros": [ "Uses temporary credentials for security instead of long-lived keys", "Written in TypeScript with clear types and standard MCP protocol", "Leverages standard AWS SSO device flow for compatibility" ], "cons": [ "Requires AWS SSO to be configured and an existing user", "Small community with few contributors (13 stars)", "Limited to AWS CLI commands supported by the MCP server" ], "tags": [], "featured": false, "tier": "curated", "stars": 13, "language": [ "TypeScript" ], "lastUpdated": "2026-03-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/aashari/mcp-server-aws-sso", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [ "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/aashari-mcp-server-aws-sso" }, { "slug": "aashari-mcp-server-atlassian-bitbucket", "name": "aashari/mcp-server-atlassian-bitbucket", "vendor": "Various", "tagline": "Node.js/TypeScript MCP server for Atlassian Bitbucket. Enables AI systems (LLMs) to interact with workspaces, repositories, and pull requests via tools (list, get, comment, search)", "description": "An open-source MCP server that allows AI assistants to read and write to Bitbucket workspaces, repositories, and pull requests. It exposes tools for listing, retrieving, commenting, and searching resources. Built with Node.js and TypeScript, it integrates with the Model Context Protocol to give LLMs direct access to version control operations.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Teams using Bitbucket who want AI assistants to interact with their repositories and pull requests.", "useCases": [ "Automate code review comments on pull requests", "Search repositories and codebase from an AI chat interface", "List workspace repositories and get pull request details" ], "pros": [ "Lightweight and focused MCP implementation", "Standard protocol integration makes it compatible with multiple AI clients", "Active open-source project with 150 stars" ], "cons": [ "Requires running a separate MCP server instance", "Limited to Bitbucket; no GitHub or GitLab support", "Depends on Node.js runtime and Bitbucket API credentials" ], "tags": [ "ai", "ai-connector", "ai-integration", "anthropic", "atlassian", "bitbucket", "claude", "cli" ], "featured": false, "tier": "curated", "stars": 150, "language": [ "TypeScript" ], "lastUpdated": "2026-03-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/aashari/mcp-server-atlassian-bitbucket", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [ "sooperset-mcp-atlassian" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/aashari-mcp-server-atlassian-bitbucket" }, { "slug": "abdelstark-bitcoin-mcp", "name": "AbdelStark/bitcoin-mcp", "vendor": "Various", "tagline": "Bitcoin & Lightning Network MCP Server.", "description": "An open-source Model Context Protocol (MCP) server that exposes Bitcoin and Lightning Network capabilities as tools for AI agents. Built in TypeScript, it allows agents to query blockchain data, generate invoices, and interact with Lightning nodes through standardized MCP interfaces.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need direct, programmatic access to Bitcoin and Lightning Network functionality.", "useCases": [ "Enabling an AI assistant to check Bitcoin balances and transaction history", "Automating Lightning invoice creation and payment verification in a bot", "Integrating real-time on-chain data into a developer's AI workflow" ], "pros": [ "Leverages the MCP standard for seamless integration with MCP-compatible AI frameworks", "Written in TypeScript, making it accessible to a broad developer ecosystem", "Open-source with clear documentation for self-hosting" ], "cons": [ "Requires a Bitcoin node and Lightning node to be running locally or accessible", "Relatively low community adoption (74 stars) may indicate limited peer support", "Scope is narrow to Bitcoin/Lightning, not a general-purpose tool" ], "tags": [ "ai-agents", "bitcoin", "claude-desktop", "goose", "lightning-network", "mcp-server" ], "featured": false, "tier": "curated", "stars": 74, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-08-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/AbdelStark/bitcoin-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/abdelstark-bitcoin-mcp" }, { "slug": "abdelstark-nostr-mcp", "name": "AbdelStark/nostr-mcp", "vendor": "Various", "tagline": "A Nostr MCP server that allows to interact with Nostr, enabling posting notes, and more.", "description": "A Nostr MCP server written in TypeScript that enables posting notes and other interactions with the Nostr protocol. It follows the Model Context Protocol for standardized integration with developer tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a simple MCP interface for Nostr note posting", "useCases": [ "Embedding Nostr note posting into MCP-compatible applications", "Building Nostr clients that rely on MCP for consistent API interactions", "Automating note publishing on the Nostr network from scripts or CI/CD pipelines" ], "pros": [ "Open source with a permissive license and 37 GitHub stars", "Written in TypeScript, easing integration with JS/TS toolchains", "Directly bridges Nostr and MCP, reducing custom protocol wiring" ], "cons": [ "Limited to basic Nostr operations (primarily note posting) with few extras", "Small community and low adoption may slow bug fixes or feature additions", "Relies on the Nostr network's availability and performance" ], "tags": [ "llm", "mcp-server", "nostr" ], "featured": false, "tier": "curated", "stars": 37, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-02-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/AbdelStark/nostr-mcp", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/abdelstark-nostr-mcp" }, { "slug": "abhiemj-manim-mcp-server", "name": "abhiemj/manim-mcp-server", "vendor": "Various", "tagline": "🐍 🏠 🪟 🐧 - A local MCP server that generates animations using Manim.", "description": "A local MCP server that generates animations using Manim, a Python library for mathematical animation. It exposes Manim's capabilities through the Model Context Protocol, allowing AI assistants to create animations programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and educators who want to generate Manim animations through AI assistants", "useCases": [ "Generate mathematical animations from natural language descriptions", "Create educational video content programmatically via AI assistants", "Automate animation rendering for data visualization or presentations" ], "pros": [ "Leverages Manim's powerful animation engine for high-quality output", "Integrates with AI tools through the standard MCP interface", "Open source with active community (597 stars)" ], "cons": [ "Requires local setup and Python environment management", "Limited to Manim's rendering capabilities and performance", "Dependent on MCP-compatible clients for full utility" ], "tags": [], "featured": false, "tier": "curated", "stars": 597, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-05-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/abhiemj/manim-mcp-server", "relations": { "works_in": [ "cursor", "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/abhiemj-manim-mcp-server" }, { "slug": "abhigyan-shekhar-waggle-mcp", "name": "Abhigyan-Shekhar/Waggle-mcp", "vendor": "Various", "tagline": "MCP server for external memory layer for AI agents + more . Download from pypi , and get started", "description": "Waggle-mcp is an MCP server that provides an external memory layer for AI agents. It is installed via PyPI and allows agents to persist and retrieve information across sessions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with persistent memory for AI agents in Python", "useCases": [ "Give AI agents long-term memory for ongoing conversations", "Store and recall context across different agent sessions", "Build persistent knowledge bases for agent workflows" ], "pros": [ "Simple installation via pip", "Enables persistent memory for stateless agents", "Open-source and extensible" ], "cons": [ "Very early stage with only 12 GitHub stars", "Limited documentation and community support", "Unclear performance and reliability at scale" ], "tags": [ "agent-memory", "ai-agents", "graph-memory", "knowledge-graph", "llm-memory", "mcp", "mcp-server", "python" ], "featured": false, "tier": "curated", "stars": 12, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/Abhigyan-Shekhar/Waggle-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "topoteretes-cognee", "upstash-context7", "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/abhigyan-shekhar-waggle-mcp" }, { "slug": "abhineet34-linkedin-mcp-server", "name": "abhineet34/linkedin-mcp-server", "vendor": "Various", "tagline": "MCP server for LinkedIn — create posts, upload images, and manage company pages via Claude or any MCP client.", "description": "This is an MCP server that lets you create posts, upload images, and manage company pages on LinkedIn through Claude or any MCP client. It is written in TypeScript and provides a programmatic interface for LinkedIn content management.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to automate LinkedIn content from AI assistants or MCP-compatible tools.", "useCases": [ "Automate LinkedIn post scheduling and publishing", "Upload and attach images to LinkedIn posts", "Manage LinkedIn company page content via API" ], "pros": [ "Integrates directly with Claude and other MCP clients", "Written in TypeScript for type safety and maintainability", "Covers core LinkedIn publishing actions" ], "cons": [ "No stars or community traction yet", "Limited to post and image actions, no profile or messaging features", "Requires LinkedIn API credentials and setup" ], "tags": [ "claude", "claude-code", "claude-desktop", "linkedin", "linkedin-api", "linkedin-mcp", "linkedin-mcp-server", "mcp" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/abhineet34/linkedin-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "lharries-whatsapp-mcp", "klavis-ai-youtube" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/abhineet34-linkedin-mcp-server" }, { "slug": "abhiphile-fermat-mcp", "name": "abhiphile/fermat-mcp", "vendor": "Various", "tagline": "🚀 Fermat MCP: The Ultimate Math Engine - Unifying SymPy, NumPy & Matplotlib in one powerful server! Perfect for devs & researchers.", "description": "Fermat MCP is a Python-based Model Context Protocol server that integrates SymPy, NumPy, and Matplotlib into a single math engine. It allows AI agents to perform symbolic and numerical computations and generate plots through a unified interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and researchers who want to give AI agents direct access to symbolic math, numerical computing, and plotting.", "useCases": [ "Perform symbolic algebra and calculus via SymPy through an AI agent", "Run numerical computations and array operations with NumPy", "Generate and return Matplotlib plots from mathematical expressions" ], "pros": [ "Combines three major Python math libraries in one server", "Enables AI agents to do math and plotting without separate tools", "Lightweight and easy to set up for developers" ], "cons": [ "Small community with only 16 GitHub stars", "Limited documentation and examples beyond the repository", "Requires Python environment and dependency management" ], "tags": [ "mathematics", "matplotlib", "mcp", "mcp-server", "numerical-computation", "numpy", "symbolic-computation", "sympy" ], "featured": false, "tier": "curated", "stars": 16, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-10-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/abhiphile/fermat-mcp", "relations": { "works_in": [ "cursor", "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/abhiphile-fermat-mcp" }, { "slug": "abmeter", "name": "ABMeter", "vendor": "ai.abmeter", "tagline": "Feature flagging and A/B testing platform with AI-first experimentation workflows.", "description": "ABMeter is an open-source platform that combines feature flagging with A/B testing. It uses AI to automatically analyze experiment results and suggest winning variations.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want a free, self-hosted way to automate A/B testing decisions.", "useCases": [ "Run A/B tests on feature flags without manual analysis", "Gradually roll out new features to user segments", "Automatically select the best performing variant in experiments" ], "pros": [ "Open source with a public GitHub repository", "Automates experiment analysis and variant selection", "Integrates feature flags and A/B testing in one tool" ], "cons": [ "Self-hosted setup requires infrastructure management", "AI suggestions may lack transparency for compliance needs", "Community-driven support only at this stage" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/abmeter/abmeter", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/abmeter" }, { "slug": "abrinsmead-mindpilot-mcp", "name": "abrinsmead/mindpilot-mcp", "vendor": "Various", "tagline": "See through your agent's eyes. Visualize legacy code, architect new systems, understand everything.", "description": "Mindpilot MCP is a development tool that provides a visual interface into an AI agent's reasoning process. It helps developers inspect and understand legacy code, design new system architectures, and see what their agent is focusing on during execution.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building or maintaining AI agents who need to understand and debug their reasoning process", "useCases": [ "Debugging an AI agent's decision-making by visualizing its current focus", "Mapping and understanding complex legacy codebases through agent-guided exploration", "Prototyping and validating system architecture ideas with real-time agent feedback" ], "pros": [ "Offers direct insight into an agent's internal state and reasoning", "Built in TypeScript, making it easy to integrate with modern JavaScript projects", "Open source with a permissive license, allowing customization and self-hosting" ], "cons": [ "Relatively small community (88 stars) which may mean less support and fewer examples", "Requires an existing compatible agent setup to be useful, not a standalone tool", "Visualization capabilities are likely limited to what the agent exposes, not a full debugger" ], "tags": [], "featured": false, "tier": "curated", "stars": 88, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-11-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/abrinsmead/mindpilot-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/abrinsmead-mindpilot-mcp" }, { "slug": "ac3xx-mcp-servers-kagi", "name": "ac3xx/mcp-servers-kagi", "vendor": "Various", "tagline": "A Model Context Protocol server implementation for Kagi's API", "description": "A Model Context Protocol server that wraps Kagi's API for use with MCP-compatible clients. It allows language models to query Kagi's search and enrichment services through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based tools who want to use Kagi as their search backend", "useCases": [ "Integrating Kagi search results into AI assistant workflows", "Enabling LLMs to perform web searches via Kagi's API", "Building custom MCP clients that leverage Kagi's search capabilities" ], "pros": [ "Straightforward TypeScript implementation for easy integration", "Leverages Kagi's privacy-focused search API", "Lightweight and focused on a single API" ], "cons": [ "Requires a Kagi subscription for API access", "Limited to Kagi's search and enrichment endpoints", "Small community with 44 stars, less battle-tested" ], "tags": [ "kagi", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 44, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2024-12-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/ac3xx/mcp-servers-kagi", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "exa-labs-exa-mcp-server", "upstash-context7" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ac3xx-mcp-servers-kagi" }, { "slug": "acacian-aegis", "name": "Acacian/aegis", "vendor": "Various", "tagline": "LLM guardrails & prompt injection detection for Python. Auto-instruments LangChain, CrewAI, OpenAI, LiteLLM + 8 more frameworks. PII masking, toxicity detection, policy CI/CD. One", "description": "Acacian/aegis is an LLM guardrails and prompt injection detection library for Python. It auto-instruments LangChain, CrewAI, OpenAI, LiteLLM, and eight other frameworks with a single line of code, providing PII masking, toxicity detection, and policy CI/CD without code changes.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Python developers who need to add basic safety controls to existing LLM applications quickly", "useCases": [ "Integrate prompt injection detection into LangChain agents", "Add PII masking to OpenAI API calls", "Automate policy enforcement for LLM outputs in CI/CD" ], "pros": [ "Minimal integration effort with one-line setup", "Supports a wide range of popular LLM frameworks", "Combines multiple guardrails (injection, PII, toxicity) out of the box" ], "cons": [ "Python-only, limiting use in polyglot stacks", "May introduce latency overhead during inference", "Requires familiarity with guardrail configuration for custom policies" ], "tags": [ "agent-security", "ai-agent-security", "ai-agents", "ai-governance", "ai-safety", "ai-security", "audit-trail", "compliance" ], "featured": false, "tier": "curated", "stars": 9, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/Acacian/aegis", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "langchain", "litellm" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/acacian-aegis" }, { "slug": "acamolese-google-search-console-mcp", "name": "acamolese/google-search-console-mcp", "vendor": "Various", "tagline": "MCP (Model Context Protocol) server for Google Search Console. Query GSC performance data and generate brandable HTML SEO audit reports from Claude, Cursor, Zed, and any MCP client", "description": "An MCP server that connects AI coding assistants like Claude and Cursor to Google Search Console data. It allows read-only queries of GSC performance metrics and generates HTML SEO audit reports through OAuth-based authentication.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and SEOs who want to query Google Search Console data directly from AI coding assistants.", "useCases": [ "Pull search performance data into an AI assistant for analysis", "Generate branded HTML SEO audit reports from GSC data", "Integrate GSC queries into automated SEO workflows" ], "pros": [ "Works with multiple MCP-compatible clients", "OAuth-based authentication for secure access", "MIT licensed for open use and modification" ], "cons": [ "Read-only access limits data manipulation", "Requires MCP client setup and OAuth configuration", "Small community with only 3 stars on GitHub" ], "tags": [ "ai-seo", "anthropic", "claude", "claude-code", "claude-desktop", "cursor", "google-search-console", "gsc" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/acamolese/google-search-console-mcp", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/acamolese-google-search-console-mcp" }, { "slug": "acedatacloud-mcpflux", "name": "AceDataCloud/MCPFlux", "vendor": "Various", "tagline": "MCP server for Flux AI image generation and editing via Ace Data Cloud.", "description": "AceDataCloud/MCPFlux is a Python-based MCP server that provides access to Flux AI image generation and editing through the Ace Data Cloud platform. It enables developers to integrate image creation and modification into AI agent workflows using the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that require on-demand image generation and editing via MCP", "useCases": [ "Generate images from text prompts within AI agent pipelines", "Edit existing images via Flux AI capabilities through MCP tools", "Automate image creation tasks in multi-step agent workflows" ], "pros": [ "Leverages the MCP standard for easy integration with AI agents", "Python-based, simple to deploy and extend", "Open source with no licensing restrictions" ], "cons": [ "Zero stars and no community traction indicates early-stage or unproven reliability", "Dependent on Ace Data Cloud service availability and API terms", "Limited documentation and support beyond the repository" ], "tags": [ "ai-image", "developer-tools", "flux-api", "image-generation", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/AceDataCloud/FluxMCP", "relations": { "works_in": [], "uses": [ "flux" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/acedatacloud-mcpflux" }, { "slug": "acedatacloud-mcpnanobanana", "name": "AceDataCloud/MCPNanoBanana", "vendor": "Various", "tagline": "MCP server for Nano Banana AI image generation and editing via Ace Data Cloud.", "description": "AceDataCloud/MCPNanoBanana is a Python-based MCP server that enables image generation and editing through Ace Data Cloud's Nano Banana AI service. It exposes standard Model Context Protocol endpoints for integration with MCP-compatible tools like AI code assistants.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to add Nano Banana AI image generation and editing capabilities to MCP-enabled environments", "useCases": [ "Generating images via Nano Banana AI from within MCP-compatible applications", "Editing existing images using Nano Banana AI through standard MCP interfaces", "Integrating AI image capabilities into custom development workflows powered by MCP" ], "pros": [ "Leverages the MCP standard for straightforward integration with many AI tools", "Written in Python, making it accessible for a wide range of developers", "Provides a direct interface to Nano Banana AI's image generation and editing features" ], "cons": [ "Very low GitHub star count (6) suggests limited community adoption or testing", "Dependence on Ace Data Cloud's Nano Banana AI service, which may have its own limitations and costs", "As a niche MCP server, documentation and support resources may be sparse" ], "tags": [ "ai-image", "developer-tools", "image-editing", "image-generation", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 6, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/AceDataCloud/MCPNanoBanana", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/acedatacloud-mcpnanobanana" }, { "slug": "acedatacloud-mcpseedream", "name": "AceDataCloud/MCPSeedream", "vendor": "Various", "tagline": "MCP server for ByteDance Seedream image generation and editing via Ace Data Cloud.", "description": "AceDataCloud/MCPSeedream is an MCP server that provides access to ByteDance's Seedream image generation and editing models through the Ace Data Cloud API. It allows developers to integrate image creation and modification capabilities into MCP-compatible applications using Python.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-compatible tools who need image generation and editing via Seedream models.", "useCases": [ "Generate images from text prompts using Seedream models", "Edit existing images with AI-driven modifications", "Integrate image generation into MCP-based workflows" ], "pros": [ "Leverages ByteDance's Seedream models for high-quality image generation", "Simple MCP interface for easy integration", "Python-based, accessible to most developers" ], "cons": [ "No stars or community activity yet, indicating early stage", "Requires Ace Data Cloud API access and credentials", "Limited documentation and examples available" ], "tags": [ "ai-image", "developer-tools", "image-generation", "mcp-server", "model-context-protocol", "seedream" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/AceDataCloud/SeedreamMCP", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "stable-diffusion" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/acedatacloud-mcpseedream" }, { "slug": "acedatacloud-mcpshorturl", "name": "AceDataCloud/MCPShortURL", "vendor": "Various", "tagline": "MCP server for short URL creation and management through Ace Data Cloud.", "description": "AceDataCloud/MCPShortURL is a Python-based MCP server that provides short URL creation and management through Ace Data Cloud. It exposes tools for generating and managing shortened links via the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a quick, MCP-compatible URL shortener for AI agent or assistant workflows.", "useCases": [ "Shorten long URLs for sharing in chat or documentation", "Manage and track existing short URLs programmatically", "Integrate URL shortening into AI assistant workflows" ], "pros": [ "Simple MCP interface for easy integration with AI tools", "Lightweight Python server with minimal dependencies", "Directly leverages Ace Data Cloud's URL shortening service" ], "cons": [ "Requires an Ace Data Cloud account and API access", "No built-in analytics or click tracking", "Limited to the features provided by the upstream service" ], "tags": [ "api-tooling", "automation", "developer-tools", "mcp-server", "model-context-protocol", "url-shortener" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/AceDataCloud/MCPShortURL", "relations": { "works_in": [ "cursor", "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/acedatacloud-mcpshorturl" }, { "slug": "achiya-automation-safari-mcp", "name": "achiya-automation/safari-mcp", "vendor": "Various", "tagline": "Native Safari browser automation for AI agents. 80 tools via AppleScript — zero overhead, keeps logins, runs silently in background. Drop-in alternative to Chrome DevTools MCP with", "description": "Safari MCP provides 80 tools for native Safari browser automation via AppleScript. It runs silently in the background with zero overhead and preserves login sessions. Designed as a drop-in alternative to Chrome DevTools MCP, it uses 40-60% less CPU and heat on Apple Silicon.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "macOS developers building AI agents that need efficient, low-resource Safari automation", "useCases": [ "Automate Safari browser tasks for AI agents", "Integrate with MCP-based AI workflows on macOS", "Replace high-CPU Chrome automation with Safari on Apple Silicon" ], "pros": [ "Native to Safari with low overhead", "Significantly less CPU and heat on Apple Silicon", "Preserves login sessions during automation" ], "cons": [ "Limited to macOS and Safari only", "AppleScript-based tools may be less robust than Chrome DevTools", "80 tools may not cover all advanced browser automation needs" ], "tags": [ "ai-agents", "ai-tools", "apple-silicon", "applescript", "automation", "browser-automation", "claude", "claude-code" ], "featured": false, "tier": "curated", "stars": 102, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/achiya-automation/safari-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "browsermcp-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/achiya-automation-safari-mcp" }, { "slug": "adancurusul-embedded-debugger-mcp", "name": "adancurusul/embedded-debugger-mcp", "vendor": "Various", "tagline": "A Model Context Protocol server for embedded debugging with probe-rs - supports ARM Cortex-M, RISC-V debugging via J-Link, ST-Link, and more", "description": "A Model Context Protocol server that enables LLMs to perform embedded debugging via probe-rs. It supports ARM Cortex-M and RISC-V targets using J-Link, ST-Link, and other debug probes. The tool acts as an MCP endpoint, allowing AI agents to read/write memory, set breakpoints, and control execution.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers integrating LLMs into embedded debugging workflows", "useCases": [ "Debug embedded firmware through natural language commands", "Automate flash, reset, and register inspection with LLMs", "Integrate probe-controlled testing into AI-assisted development pipelines" ], "pros": [ "Open source with 99 stars, community-backed", "Supports multiple architectures (ARM Cortex-M, RISC-V) and common probes", "Written in Rust for performance and reliability" ], "cons": [ "Requires physical hardware and probe connected to a host", "Limited to debug probes supported by probe-rs (not universal)", "Setup requires Rust toolchain and knowledge of MCP configuration" ], "tags": [], "featured": false, "tier": "curated", "stars": 99, "language": [ "Rust" ], "license": "MIT", "lastUpdated": "2025-08-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/adancurusul/embedded-debugger-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "lauriewired-ghidramcp", "mrexodia-ida-pro-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/adancurusul-embedded-debugger-mcp" }, { "slug": "adadvisor-mcp-server", "name": "AdAdvisor MCP Server", "vendor": "ai.adadvisor", "tagline": "An AI autopilot for all your paid advertising. Today Meta. Next Google, TikTok, and Snap.", "description": "An MCP server that automates paid advertising management. Currently supports Meta ads, with planned support for Google, TikTok, and Snap. It enables developers to integrate ad campaign control into AI agent workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to programmatically manage Meta advertising campaigns", "useCases": [ "Automate Meta ad campaign creation and optimization", "Schedule ad spend adjustments across platforms", "Integrate advertising tasks into agent-based systems" ], "pros": [ "Simplifies multi-platform ad management through a single interface", "Enables automation of routine advertising operations", "Planned expansion to additional advertising networks" ], "cons": [ "Currently limited to Meta; other platforms not yet available", "Requires an MCP-compatible client to operate", "May lack support for some advanced advertising features" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://www.adadvisor.ai?utm_source=mcp-registry", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/adadvisor-mcp-server" }, { "slug": "adancurusul-serial-mcp-server", "name": "adancurusul/serial-mcp-server", "vendor": "Various", "tagline": "A comprehensive MCP server for serial port communication", "description": "A Rust-based server that enables MCP-compatible clients to communicate with serial ports. It provides a comprehensive set of features for reading from and writing to serial devices.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers integrating serial hardware with MCP-based AI tools", "useCases": [ "Controlling serial devices from AI assistants", "Reading sensor data via serial connections", "Automating serial port interactions in workflows" ], "pros": [ "Written in Rust for performance and reliability", "Comprehensive serial port support", "Open source with 54 stars" ], "cons": [ "Requires an MCP-compatible client to use", "Limited to serial port communication only", "Niche use case for most developers" ], "tags": [], "featured": false, "tier": "curated", "stars": 54, "language": [ "Rust" ], "license": "MIT", "lastUpdated": "2025-08-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/adancurusul/serial-mcp-server", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/adancurusul-serial-mcp-server" }, { "slug": "adawalli-nexus", "name": "adawalli/nexus", "vendor": "Various", "tagline": "MCP Server to make searching openrouter easy", "description": "An MCP server that simplifies searching OpenRouter models. It provides a programmatic interface to query available models and their information. Built in TypeScript, it integrates with Model Context Protocol clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using MCP who need to search and list OpenRouter models.", "useCases": [ "Search OpenRouter models programmatically via MCP", "Integrate model discovery into MCP-based workflows", "Quickly list available models without manual API calls" ], "pros": [ "Focused on a single clear task", "Written in TypeScript with type safety", "Lightweight and easy to deploy as an MCP server" ], "cons": [ "Small user base with limited community support", "Functionality is narrow and dependent on OpenRouter's API", "May require additional setup for non-MCP environments" ], "tags": [], "featured": false, "tier": "curated", "stars": 21, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-02-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/adawalli/nexus", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/adawalli-nexus" }, { "slug": "adeptus-innovatio-solvitor-mcp", "name": "adeptus-innovatio/solvitor-mcp", "vendor": "Various", "tagline": "🦀 🏠 - Solvitor MCP server provides tools to access reverse engineering tools that help developers extract IDL files from closed-source Solana smart contracts and decompile them.", "description": "Solvitor MCP server provides tools to access reverse engineering tools for extracting IDL files from closed-source Solana smart contracts and decompiling them. It is implemented in Rust and operates as an MCP server.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing to reverse engineer closed-source Solana smart contracts", "useCases": [ "Extract IDL files from closed-source Solana smart contracts", "Decompile Solana smart contracts for analysis", "Integrate reverse engineering into MCP-based workflows" ], "pros": [ "Fills a niche need for Solana contract reverse engineering", "Open-source with permissive licensing", "Rust implementation offers performance and safety" ], "cons": [ "Very low community adoption (only 2 GitHub stars)", "Limited documentation and support available", "Early stage project, may have incomplete features" ], "tags": [ "anchor", "reverse-engineering", "rust", "rust-lang", "solana", "web3" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "Rust" ], "lastUpdated": "2025-10-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/Adeptus-Innovatio/solvitor-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "lauriewired-ghidramcp", "mrexodia-ida-pro-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/adeptus-innovatio-solvitor-mcp" }, { "slug": "adeu", "name": "adeu", "vendor": "ai.adeu", "tagline": "docx ↔ LLM translator. Projects .docx to Markdown for editing. Projects edits back to OOXML as tracked changes. Python and Node.js implementations.", "description": "adeu converts .docx files to Markdown for editing and projects changes back to OOXML as tracked changes. It acts as a bidirectional translator between docx and LLMs, with implementations in Python and Node.js.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing to programmatically edit Word documents via LLMs while maintaining change tracking", "useCases": [ "Round-trip editing of .docx files through LLMs via Markdown", "Automating tracked-change updates to Word documents from AI outputs", "Integrating docx-to-Markdown conversion into Python or Node.js pipelines" ], "pros": [ "Preserves document structure with tracked changes on round-trip", "Supports both Python and Node.js for flexible integration", "Lightweight and focused on a single, well-defined task" ], "cons": [ "Limited to .docx input and Markdown intermediate format", "Small community with 86 GitHub stars may mean slower support", "No built-in LLM integration; requires external orchestration" ], "tags": [ "ai-agents", "document-automation", "docx-converter", "gemini-cli-extension", "legaltech", "llm-tools", "mcp-server", "python-library" ], "featured": false, "tier": "curated", "stars": 86, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/dealfluence/adeu", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "microsoft-markitdown" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/adeu" }, { "slug": "adhikasp-mcp-git-ingest", "name": "adhikasp/mcp-git-ingest", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server that helps read GitHub repository structure and important files.", "description": "An MCP server that reads GitHub repository structure and important files. It exposes repository content to AI agents through the Model Context Protocol, allowing them to ingest codebases for analysis or context.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-enabled AI agents that need to understand GitHub codebases", "useCases": [ "Provide AI assistants with repository structure and file contents for code understanding", "Automate code review by feeding repository data into MCP-compatible agents", "Generate documentation or summaries from GitHub repositories via MCP tools" ], "pros": [ "Open source with a clear, focused purpose", "Integrates directly with the Model Context Protocol ecosystem", "Simple Python implementation easy to customize or extend" ], "cons": [ "Limited to GitHub repositories only", "Requires Python environment and MCP client to use", "Performance may degrade on very large repositories with many files" ], "tags": [ "git", "llm", "mcp", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 308, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-01-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/adhikasp/mcp-git-ingest", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/adhikasp-mcp-git-ingest" }, { "slug": "adhikasp-mcp-twikit", "name": "adhikasp/mcp-twikit", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server for interacting with Twitter.", "description": "A Model Context Protocol (MCP) server that lets AI agents read and post to Twitter. It uses the Twikit library to interact with Twitter's unofficial API, enabling agentic workflows without official API keys.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need basic Twitter read/write access without official API approval", "useCases": [ "Automate tweet posting and timeline monitoring from an AI agent", "Search Twitter for relevant content and trends programmatically", "Integrate Twitter interactions into custom MCP-based tools and assistants" ], "pros": [ "No official Twitter API key required, reducing onboarding friction", "Lightweight Python implementation with clear MCP protocol support", "Active open-source project with 234 stars and community contributions" ], "cons": [ "Relies on unofficial API which may break with Twitter changes", "Limited to features exposed by Twikit, not full Twitter API coverage", "Requires manual setup of Twitter credentials and MCP host configuration" ], "tags": [ "llm", "mcp", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 234, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-03-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/adhikasp/mcp-twikit", "relations": { "works_in": [ "claude-code", "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/adhikasp-mcp-twikit" }, { "slug": "adityaaery20-media-mcp", "name": "Adityaaery20/media-mcp", "vendor": "Various", "tagline": "🐍 🏠 🍎 🪟 🐧 - Local image and video processing MCP server with 13 tools for resize, convert, compress, crop, thumbnail, metadata extraction, rotate, flip, filters, and ffmpeg-ba", "description": "A local MCP server for image and video processing that exposes 13 tools for common operations like resize, convert, compress, crop, thumbnail generation, metadata extraction, rotate, flip, filters, and ffmpeg-based tasks. It runs locally and communicates via the Model Context Protocol, enabling AI agents to manipulate media files directly.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building local AI agent pipelines that need basic image and video manipulation", "useCases": [ "Automating batch image resizing and format conversion for web assets", "Extracting metadata from media files for cataloging or analysis", "Applying filters or transformations to images and videos via AI agent workflows" ], "pros": [ "Runs locally with no external API dependencies", "Covers a broad set of common media operations in one tool", "Integrates with MCP-compatible AI assistants for automated workflows" ], "cons": [ "Limited to 13 tools, may lack advanced or niche operations", "Requires Python environment and ffmpeg installation", "Small community and low star count suggest limited support and updates" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/Adityaaery20/media-mcp", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [ "mediar-ai-screenpipe" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/adityaaery20-media-mcp" }, { "slug": "admica-filescopemcp", "name": "admica/FileScopeMCP", "vendor": "Various", "tagline": "Analyzes your codebase identifying important files based on dependency relationships. Generates diagrams and importance scores per file, helping AI assistants understand the codeba", "description": "FileScopeMCP analyzes a codebase by parsing dependency relationships across files. It generates importance scores and diagrams for each file, helping AI assistants understand the project structure. The tool supports Python, C, C++, Rust, Zig, and Lua.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers working with supported languages who want to give AI tools a structured understanding of their codebase", "useCases": [ "Identify critical files in a large codebase for refactoring or documentation", "Generate dependency diagrams to visualize module relationships", "Provide AI assistants with a structured map of the codebase for context-aware suggestions" ], "pros": [ "Automatically parses multiple popular languages without manual configuration", "Produces concrete importance scores and diagrams, not just raw dependency lists", "Open source with 292 stars and active TypeScript codebase" ], "cons": [ "Limited to languages it can parse, excluding many others like Java or JavaScript", "Dependency analysis may miss dynamic imports or runtime-resolved dependencies", "Requires integration with an MCP-compatible AI assistant to be useful" ], "tags": [], "featured": false, "tier": "curated", "stars": 292, "language": [ "TypeScript" ], "lastUpdated": "2026-05-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/admica/FileScopeMCP", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/admica-filescopemcp" }, { "slug": "admin978-canvas-mcp", "name": "admin978/canvas-mcp", "vendor": "Various", "tagline": "Local-first Canvas LMS MCP server. Stdio transport, ~125 lines of Python.", "description": "A lightweight, local-first MCP server for Canvas LMS written in Python. It uses stdio transport and consists of about 125 lines of code, making it a minimal bridge for interacting with Canvas via the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers prototyping Canvas LMS integrations with the MCP protocol", "useCases": [ "Connect other MCP-compatible tools to Canvas LMS data", "Build custom scripts or automations for Canvas courses and assignments", "Experiment with MCP integration in an educational context" ], "pros": [ "Very small codebase (125 lines) making it easy to read and modify", "Local-first design, no external server dependencies", "Uses standard MCP protocol for interoperability" ], "cons": [ "Early stage with only 1 star and minimal community adoption", "Limited features due to tiny codebase and no network transport", "Lacks documentation beyond the repository itself" ], "tags": [ "canvas-lms", "claude", "claude-code", "mcp", "model-context-protocol", "python", "student-tools" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/admin978/canvas-mcp", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/admin978-canvas-mcp" }, { "slug": "adrianczuczka-mason", "name": "adrianczuczka/mason", "vendor": "Various", "tagline": "Mason builds context for LLMs — smart file sampling, concept maps, and change impact analysis. MCP server + CLI.", "description": "Mason is a tool that builds context for large language models by performing smart file sampling, generating concept maps, and analyzing change impact. It operates as both an MCP server and a command-line interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to feed structured codebase context into LLM code assistants", "useCases": [ "Improving LLM responses by providing relevant file context", "Mapping codebase concepts for better model understanding", "Assessing change impact before code modifications" ], "pros": [ "Provides structured context to enhance LLM reasoning", "Supports multiple interaction modes (MCP server and CLI)", "Focuses on change impact analysis for code changes" ], "cons": [ "Limited community adoption with only 6 stars", "May require TypeScript environment for setup", "Effectiveness depends on codebase structure and sampling strategy" ], "tags": [], "featured": false, "tier": "curated", "stars": 6, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/adrianczuczka/mason", "relations": { "works_in": [ "continue", "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/adrianczuczka-mason" }, { "slug": "adsmcp-tiktok-ads-mcp-server", "name": "AdsMCP/tiktok-ads-mcp-server", "vendor": "Various", "tagline": "TikTok Ads MCP Server – Model Context Protocol Server for TikTok Ads Marketing API Integration", "description": "A Model Context Protocol (MCP) server that connects AI assistants to the TikTok Ads Marketing API. It allows developers to manage ad campaigns, retrieve performance data, and automate advertising workflows through natural language or programmatic commands.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-assisted advertising tools or chatbots for TikTok Ads management", "useCases": [ "Query ad campaign performance metrics via an AI assistant", "Create and update TikTok ad campaigns programmatically", "Automate routine advertising tasks like budget adjustments" ], "pros": [ "Simplifies TikTok Ads API integration for AI-driven workflows", "Open source with a Python codebase for easy customization", "Leverages the MCP standard for interoperability with various AI tools" ], "cons": [ "Small community (33 stars) may mean limited support and documentation", "Requires TikTok Ads API credentials and familiarity with MCP", "Dependent on TikTok's API rate limits and changes" ], "tags": [ "marketing-api", "mcp-server" ], "featured": false, "tier": "curated", "stars": 33, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-10-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/AdsMCP/tiktok-ads-mcp-server", "relations": { "works_in": [ "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/adsmcp-tiktok-ads-mcp-server" }, { "slug": "adweave-meta-ads-mcp-server", "name": "AdWeave — Meta Ads MCP Server", "vendor": "ai.adweave", "tagline": "Meta Ads MCP server with 47 tools for campaigns, creatives, audiences, and insights.", "description": "AdWeave provides a Model Context Protocol server for Meta Ads, exposing 47 tools to manage campaigns, creatives, audiences, and insights via an MCP interface. Developers connect the server to their LLM or IDE to automate ad operations and retrieve performance data programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and teams building automated ad workflows or AI agents for Meta Ads management.", "useCases": [ "Automate campaign creation, updating, and pausing from an LLM or coding environment", "Pull ad performance insights and audience data without using the Meta Ads UI", "Manage creatives and ad sets programmatically via standardized MCP tool calls" ], "pros": [ "Covers a wide range of ad management tasks with 47 dedicated tools", "Integrates directly into MCP-compatible clients (IDEs, assistants) for streamlined workflows", "Reduces manual API setup and boilerplate for Meta Ads automation" ], "cons": [ "Requires an MCP-compatible client or custom integration to use the server", "Limited to Meta Ads platform; no support for other advertising networks", "Vendor-specific server may introduce dependency on AdWeave's deployment and updates" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://mcp.adweave.ai/meta-ads-mcp", "relations": { "works_in": [ "cline", "cursor", "claude-code" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/adweave-meta-ads-mcp-server" }, { "slug": "aegis-dq-aegis-dq", "name": "aegis-dq/aegis-dq", "vendor": "Various", "tagline": "Open, audit-grade agentic data quality framework with portable industry packs", "description": "Aegis-DQ is an open-source Python framework for data quality checks designed for audit-grade agentic workflows. It provides portable industry packs that bundle validation rules and documentation for specific domains, enabling systematic quality control.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Data engineers and compliance teams needing audit-ready, domain-specific data quality checks", "useCases": [ "Enforcing data quality rules in data pipelines", "Automating compliance checks for regulated data assets", "Integrating domain-specific validation packs into existing workflows" ], "pros": [ "Audit-grade focus suits regulated environments", "Portable industry packs reduce rule setup time", "Open-source with a Python API for extensibility" ], "cons": [ "Limited community adoption (3 stars) suggests early stage", "Fewer integrations than mature data quality tools", "Industry packs may be sparse without clear vendor support" ], "tags": [ "agentic-ai", "airflow", "data-engineering", "data-quality", "dbt", "duckdb", "langgraph", "llm" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "Python" ], "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/aegis-dq/aegis-dq", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "pydantic-pydantic-ai-mcp-run-python" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/aegis-dq-aegis-dq" }, { "slug": "aeoess-mingle-mcp", "name": "aeoess/mingle-mcp", "vendor": "Various", "tagline": "Your AI finds the right people for you. Agent-to-agent networking via MCP.", "description": "An MCP server that enables AI agents to discover and connect with each other for agent-to-agent networking. Built in JavaScript. It allows an AI to find relevant people or agents based on context or queries.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with agent-to-agent communication in MCP environments", "useCases": [ "Connecting AI agents to collaborate on tasks", "Discovering relevant experts for a given context", "Enabling agent-based networking in workflows" ], "pros": [ "Provides a standardized way for agents to find peers via MCP", "Simple JavaScript implementation easy to integrate", "Open source and community-driven" ], "cons": [ "Very early stage with minimal community support", "Limited documentation and examples", "May not scale well for large agent networks" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "JavaScript" ], "license": "Apache-2.0", "lastUpdated": "2026-04-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/aeoess/mingle-mcp", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/aeoess-mingle-mcp" }, { "slug": "afshinator-mcp-server-pexels", "name": "afshinator/mcp-server-pexels", "vendor": "Various", "tagline": "MCP server for Pexels stock photos and videos.", "description": "A Model Context Protocol server that provides access to Pexels stock photos and videos. It allows MCP-compatible AI agents to search and retrieve media from Pexels via standard tool calls.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-enabled AI agents that need simple stock photo and video retrieval", "useCases": [ "Enable an AI assistant to find and include stock photos in content generation", "Automate video asset selection for marketing or presentation workflows", "Allow agents to query media libraries without manual API integration" ], "pros": [ "Tiny and focused implementation with minimal dependencies", "Leverages standard MCP for easy integration with many agent frameworks", "Written in TypeScript for type safety and broad compatibility" ], "cons": [ "Very early stage with only 1 star and likely little community use", "Requires a Pexels API key and MCP-supporting agent host to function", "Limited to Pexels content; no built-in fallback to other stock sources" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/afshinator/mcp-server-pexels", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/afshinator-mcp-server-pexels" }, { "slug": "aganium-agenium", "name": "Aganium/agenium", "vendor": "Various", "tagline": "AGENIUM — DNS of the Agent Web. Identity, trust & discovery for AI agents. MCP-compatible. agent:// protocol with mTLS, trust scores & capability search.", "description": "A discovery and identity layer for AI agents, implementing a DNS-like system for the agent web. It provides an agent:// protocol with mTLS authentication, trust scores, and capability search, and is compatible with the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building multi-agent systems that need a standardized way to discover and trust other agents", "useCases": [ "Discovering AI agents by capabilities and trust scores", "Establishing authenticated connections between agents via mTLS", "Resolving agent identifiers to service endpoints" ], "pros": [ "MCP-compatible for integration with agent frameworks", "Built-in trust scores and capability search for agent discovery", "Uses mTLS for secure agent identity verification" ], "cons": [ "Requires agents to support the agent:// protocol", "Relies on mTLS infrastructure which adds complexity", "Small community and limited production adoption (2 GitHub stars)" ], "tags": [ "a2a", "agent-discovery", "agent-protocol", "agent-registry", "ai-agents", "dns", "mcp", "mtls" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-02-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/Aganium/agenium", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/aganium-agenium" }, { "slug": "agent-blueprint-mcp-server", "name": "agent-blueprint/mcp-server", "vendor": "Various", "tagline": "MCP server for Agent Blueprint — connect AI agents to your blueprints, business cases, and implementation plans", "description": "MCP server for Agent Blueprint. It connects AI agents to blueprints, business cases, and implementation plans. Built with TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need structured business context from Agent Blueprint", "useCases": [ "Connect AI agents to business blueprints", "Retrieve business cases for agent context", "Integrate implementation plans into agent workflows" ], "pros": [ "Open source and free to use", "Written in TypeScript for type safety", "Directly integrates with Agent Blueprint ecosystem" ], "cons": [ "Very low community adoption (1 star)", "Limited documentation or support", "Early stage project with potential instability" ], "tags": [ "agent-blueprint", "agent-skills", "ai", "cli", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/agent-blueprint/mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/agent-blueprint-mcp-server" }, { "slug": "agent-hanju-char-index-mcp", "name": "agent-hanju/char-index-mcp", "vendor": "Various", "tagline": "A Model Context Protocol server for character-level index-based string manipulation", "description": "This tool is a Model Context Protocol (MCP) server that exposes character-level index-based string manipulation operations. It allows AI agents to perform actions such as substring extraction, character replacement, and length calculation using zero-based character positions. The server is written in Python and communicates via the MCP protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based tools that require exact character-level text processing in AI agent workflows", "useCases": [ "Extracting substrings by character index range", "Replacing characters at specific positions", "Computing string length and character offsets" ], "pros": [ "Lightweight Python server with minimal dependencies", "Simple integer-based interface for precise string operations", "Integrates seamlessly with MCP-compatible AI agents and tools" ], "cons": [ "Very low community traction (only 2 GitHub stars)", "Limited documentation and example usage", "Only supports basic character-level operations, no regex or pattern matching" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/agent-hanju/char-index-mcp", "relations": { "works_in": [ "cline", "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/agent-hanju-char-index-mcp" }, { "slug": "agent-infra-mcp-server-browser", "name": "agent-infra/mcp-server-browser", "vendor": "Various", "tagline": "The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra", "description": "MCP server that exposes browser automation and web interaction capabilities to AI agents via the Model Context Protocol. Enables agents to navigate pages, extract content, interact with UI elements, and execute JavaScript in a controlled browser environment.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need reliable, protocol-standardized web automation capabilities", "useCases": [ "Automating web scraping and data extraction tasks", "Building agents that interact with web applications programmatically", "Testing web interfaces through agent-driven workflows" ], "pros": [ "Standardized MCP interface for consistent agent integration", "Open source with active community support (35k+ stars)", "TypeScript implementation with modern tooling" ], "cons": [ "Requires running and managing a separate browser process", "Limited documentation on specific capabilities and API surface", "Dependency on MCP protocol adoption by your agent framework" ], "tags": [ "agent", "agent-tars", "browser-use", "computer-use", "cowork", "gui-agent", "gui-operator", "mcp" ], "featured": false, "tier": "curated", "stars": 35863, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-05-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/bytedance/UI-TARS-desktop/tree/main/packages/agent-infra/mcp-servers/browser", "relations": { "works_in": [ "cline", "claude-code", "cursor", "continue" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [ "browsermcp-mcp", "executeautomation-playwright-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/agent-infra-mcp-server-browser" }, { "slug": "agentbase1-mcp-server", "name": "AgentBase1/mcp-server", "vendor": "Various", "tagline": "AgentBase MCP server — search and retrieve agent instruction files via MCP tools", "description": "AgentBase1/mcp-server is a JavaScript implementation of a Model Context Protocol (MCP) server that enables searching and retrieving agent instruction files. It exposes these files as MCP tools, allowing MCP-compatible clients to interact with agent instructions programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP‑based agent systems that need to search and retrieve agent instruction files.", "useCases": [ "Searching for agent instructions across a repository via MCP tools", "Retrieving specific agent instruction files for use in agent workflows", "Integrating agent instruction management into MCP‑based development environments" ], "pros": [ "Provides a lightweight MCP server in JavaScript for easy integration", "Exposes agent instructions as standard MCP tools, compatible with MCP clients", "Open source under the AgentBase1 organization" ], "cons": [ "Very low GitHub star count suggests limited community validation or early stage", "Scope is narrow, limited to agent instruction files only", "Requires MCP‑compatible clients or orchestration tools to be useful" ], "tags": [ "agent-instructions", "ai-agents", "claude", "claude-desktop", "llm-tools", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/AgentBase1/mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/agentbase1-mcp-server" }, { "slug": "agentcentral-to-agent-central-mcp", "name": "agentcentral-to/agent-central-mcp", "vendor": "Various", "tagline": "agentcentral hosted Amazon MCP server, Amazon Seller Central MCP server, and Amazon Ads MCP server metadata for Claude, ChatGPT, Cursor, and HTTP-capable MCP clients", "description": "This repository provides MCP (Model Context Protocol) servers for Amazon Seller Central and Amazon Ads, hosted by agentcentral. These servers expose metadata to AI assistants like Claude, ChatGPT, and Cursor, enabling them to interact with Amazon selling and advertising data through a standard protocol. The servers are designed for HTTP-capable MCP clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Amazon sellers and advertisers who use AI assistants for data analysis and task automation", "useCases": [ "Connect AI assistants to Amazon Seller Central data", "Automate Amazon advertising reporting via Claude or ChatGPT", "Query product listing metadata through MCP-compatible tools" ], "pros": [ "Open source and free to use", "Supports multiple AI clients (Claude, ChatGPT, Cursor)", "Targets a specific need for Amazon sellers and advertisers" ], "cons": [ "Limited community adoption (3 stars) may indicate early stage or niche use", "Relies on agentcentral hosting; no self-hosted option mentioned", "Requires an MCP-compatible client, which may not be widely adopted" ], "tags": [ "ai-agents", "amazon-ads", "amazon-ads-api", "amazon-ads-mcp", "amazon-mcp", "amazon-seller-central", "amazon-seller-central-mcp", "amazon-seller-mcp" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/agentcentral-to/agent-central-mcp", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/agentcentral-to-agent-central-mcp" }, { "slug": "agentdm-agent-to-agent-communication-platform", "name": "AgentDM: Agent to Agent Communication Platform", "vendor": "ai.agentdm", "tagline": "Agent communication platform for agent to agent messaging via MCP. Messages, channels, skills.", "description": "An open-source platform for enabling direct communication between AI agents using the Model Context Protocol (MCP). It provides messaging, channels, and skill-based interactions for building multi-agent systems.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building multi-agent systems that need structured, protocol-based inter-agent communication.", "useCases": [ "Orchestrating multi-agent workflows through structured messaging", "Building agent-to-agent chat applications with channel-based organization", "Implementing modular skill sharing between agents" ], "pros": [ "Uses the MCP standard for interoperability across agent frameworks", "Channels allow logical grouping and scaling of agent conversations", "Skills enable agents to expose and discover capabilities in a modular way" ], "cons": [ "Relatively new project with limited community adoption and documentation", "Requires all participating agents to support the MCP protocol", "Skill and channel configuration may introduce complexity in larger deployments" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/agentdmai/agentdm", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp", "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/agentdm-agent-to-agent-communication-platform" }, { "slug": "agentdm", "name": "AgentDM", "vendor": "ai.agentdm", "tagline": "AgentDM Grid API endpoint. Connect any MCP-compatible AI agent to send and receive direct messages. Supports OAuth 2.0 and API key authentication.", "description": "AgentDM provides a Grid API endpoint for connecting any MCP-compatible AI agent to send and receive direct messages. It supports OAuth 2.0 and API key authentication, enabling secure agent-to-agent communication.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building multi-agent systems with MCP who need secure direct messaging between agents.", "useCases": [ "Integrating MCP-compatible agents into a direct messaging workflow", "Enabling agent-to-agent direct message exchanges", "Adding secure messaging capabilities to multi-agent systems" ], "pros": [ "Straightforward API for agent messaging", "Supports both OAuth 2.0 and API key authentication", "Designed specifically for MCP-compatible agents" ], "cons": [ "Only works with MCP-compatible agents", "Limited to direct message use case", "Dependency on AgentDM service availability" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://api.agentdm.ai/api/v1/grid", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "browsermcp-mcp", "agent-infra-mcp-server-browser", "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/agentdm" }, { "slug": "agentgraph-co-agentgraph", "name": "agentgraph-co/agentgraph", "vendor": "Various", "tagline": "AgentGraph: Trust and identity layer for the agent internet", "description": "AgentGraph provides a trust and identity layer for autonomous agents operating on the internet. It is a Python library that enables agents to authenticate, authorize, and verify interactions with each other.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building multi-agent systems that need identity verification and access control", "useCases": [ "Establishing verifiable identities for autonomous agents", "Enforcing access control policies between agents", "Auditing agent-to-agent communications" ], "pros": [ "Addresses a critical gap in agent security and trust", "Lightweight Python library with minimal dependencies", "Open source with a permissive license" ], "cons": [ "Very early stage with only 1 GitHub star", "Limited documentation and community support", "Unproven in production environments" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/agentgraph-co/agentgraph", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "pydantic-pydantic-ai-mcp-run-python" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/agentgraph-co-agentgraph" }, { "slug": "agenthotspot", "name": "AgentHotspot", "vendor": "Various", "tagline": "🔍 MCP server to search 6,000+ AI agent MCP connectors from AgentHotspot.com Marketplace", "description": "AgentHotspot provides an MCP server that lets developers search over 6,000 connectors from the AgentHotspot.com marketplace. It is written in Python and acts as a discovery layer for existing MCP integrations used in AI agent workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents who want programmatic access to a directory of MCP connectors", "useCases": [ "Searching for pre-built MCP connectors by keyword or category", "Exploring available tools to extend an AI agent's capabilities", "Integrating marketplace discovery directly into agent development pipelines" ], "pros": [ "Offers a single search endpoint for a large collection of connectors", "Open source Python implementation can be inspected and modified", "Reduces time spent manually browsing for agent tools" ], "cons": [ "Very low GitHub popularity (2 stars) suggests limited adoption or early stage", "Depends on the AgentHotspot marketplace for connector data, creating an external dependency", "No evidence of active maintenance or community support" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-01-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/AgentHotspot/agenthotspot-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/agenthotspot" }, { "slug": "agentic-mcp-tools-owlex", "name": "agentic-mcp-tools/owlex", "vendor": "Various", "tagline": "🐍 🏠 🍎 🪟 🐧 - AI council server: query CLI agents (Claude Code, Codex, Gemini, and OpenCode) in parallel with deliberation rounds", "description": "Owlex is an MCP server that queries multiple CLI-based AI agents (Claude Code, Codex, Gemini, OpenCode) in parallel and runs deliberation rounds to synthesize their outputs. It is written in Python and designed for developers who want to compare or combine responses from different coding agents.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to leverage multiple coding agents in parallel for comparison or consensus-driven results", "useCases": [ "Running the same prompt across multiple coding agents to compare answers", "Using deliberation rounds to refine or merge agent outputs for complex tasks", "Integrating multi-agent querying into existing MCP-compatible workflows" ], "pros": [ "Supports four popular CLI agents out of the box", "Parallel execution reduces wait time for multi-agent queries", "Deliberation rounds can improve answer quality through cross-agent review" ], "cons": [ "Requires each CLI agent to be installed and configured separately", "Deliberation rounds add latency and may not always converge", "Limited to agents that expose a CLI interface" ], "tags": [], "featured": false, "tier": "curated", "stars": 121, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/agentic-mcp-tools/owlex", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/agentic-mcp-tools-owlex" }, { "slug": "agentic-news", "name": "Agentic News", "vendor": "ai.agentic-news", "tagline": "AI-powered news intelligence — 21 tools for personalized monitoring, briefings, and semantic search", "description": "Agentic News is a set of 21 open-source tools for personalized news monitoring, automated briefings, and semantic search. It uses AI to filter and organize news content based on user-defined criteria.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and researchers who want an open-source, customizable news intelligence pipeline.", "useCases": [ "Personalized news monitoring across multiple sources", "Automated daily or weekly news briefings", "Semantic search of past news articles" ], "pros": [ "21 specialized tools cover a range of news intelligence needs", "Open-source and customizable for specific workflows", "Semantic search enables retrieval beyond keyword matching" ], "cons": [ "Requires setup and local or server deployment", "May need technical expertise to configure and run", "Depends on external news sources which can change APIs" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/u00dxk2/agentic-news", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/agentic-news" }, { "slug": "agentic-shelf", "name": "Agentic Shelf", "vendor": "ai.agenticshelf", "tagline": "Hosted MCP for e-commerce: live product catalog, stock, and pricing for AI agents.", "description": "Agentic Shelf is a hosted Model Context Protocol server for e-commerce. It provides AI agents with real-time access to product catalog, stock levels, and pricing data. Agents query the MCP endpoint to retrieve current inventory information.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need live e-commerce data", "useCases": [ "Querying product availability for customer support bots", "Automating inventory checks for order fulfillment agents", "Fetching live pricing for dynamic pricing agents" ], "pros": [ "Real-time product data without building custom scrapers", "Standardized MCP interface simplifies agent integration", "Hosted service reduces operational overhead" ], "cons": [ "Limited to the e-commerce platforms supported by the service", "Requires internet access and depends on vendor uptime", "May have rate limits or usage costs" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/vboykoCTO/agentic-shelf", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "browsermcp-mcp", "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/agentic-shelf" }, { "slug": "agenticdecks-deckrun-mcp", "name": "agenticdecks/deckrun-mcp", "vendor": "Various", "tagline": "MCP server for Deckrun — generate presentation PDFs, videos, and audio from Markdown", "description": "A Model Context Protocol (MCP) server that wraps Deckrun to generate presentation PDFs, videos, and audio from Markdown input. It enables AI assistants or MCP clients to produce slide decks programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to generate multimedia presentations programmatically through MCP-enabled AI tools", "useCases": [ "Generate slide decks from Markdown notes via an AI assistant", "Create video or audio presentations directly from text content", "Automate presentation building in CI/CD pipelines" ], "pros": [ "Supports multiple output formats (PDF, video, audio) from a single Markdown source", "Integrates with any MCP-compatible client (e.g., Claude, custom agents)", "Low barrier to entry: input is plain Markdown" ], "cons": [ "Repository has only 1 star, indicating very early or minimal adoption", "Limited documentation and community support due to newness", "Depends on Deckrun service/installation which may require additional setup" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/agenticdecks/deckrun-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "microsoft-markitdown" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/agenticdecks-deckrun-mcp" }, { "slug": "agenticempire-axint", "name": "agenticempire/axint", "vendor": "Various", "tagline": "Apple-native execution layer for AI coding agents: compile, validate, repair, and prove Swift surfaces.", "description": "axint is an Apple-native execution layer for AI coding agents. It compiles, validates, repairs, and proves Swift code surfaces, enabling agents to work with Apple platform code.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI coding agents that target Apple platforms and need Swift compilation and repair.", "useCases": [ "Compile and validate Swift code generated by AI agents", "Automatically repair Swift compilation errors", "Prove correctness of Swift code surfaces" ], "pros": [ "Apple-native focus fills a specific gap for Swift/AI agent workflows", "Automated repair reduces manual debugging", "Open source with TypeScript for easy integration" ], "cons": [ "Limited to Swift and Apple platforms only", "Low star count (8) suggests early-stage or niche adoption", "No support for non-Apple languages or frameworks" ], "tags": [ "ai-agents", "app-intents", "apple", "code-generation", "compiler", "developer-tools", "ios", "ipados" ], "featured": false, "tier": "curated", "stars": 8, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/agenticempire/axint", "relations": { "works_in": [ "cursor", "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/agenticempire-axint" }, { "slug": "agentic-terminal-directory", "name": "Agentic Terminal Directory", "vendor": "ai.agenticterminal", "tagline": "Agent commerce directory for OP-verified Lightning, BOLT12, L402, and USDT merchants", "description": "A directory of merchants verified by the Observer Protocol that support Lightning, BOLT12, L402, and USDT payments. Built in TypeScript, it provides a structured list for developers integrating agent commerce. Merchants are OP-verified to ensure compatibility and trust.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building agent commerce systems needing a verified merchant directory for Lightning and USDT payments.", "useCases": [ "Discover verified merchants for agent-to-agent payments", "Integrate Lightning, BOLT12, or L402 payment options into agent workflows", "Validate merchant support for USDT and other payment protocols" ], "pros": [ "Open-source and written in TypeScript for easy integration", "Supports multiple payment protocols (Lightning, BOLT12, L402, USDT)", "Merchants are OP-verified, reducing fraud risk" ], "cons": [ "Limited merchant adoption with 0 GitHub stars suggests early stage", "Only covers OP-verified merchants, excluding many potential vendors", "Narrow focus on specific payment protocols may not suit all agent commerce use cases" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/observer-protocol/at-directory", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/agentic-terminal-directory" }, { "slug": "agenticmail-agenticmail", "name": "agenticmail/agenticmail", "vendor": "Various", "tagline": "Email, SMS & phone-call infrastructure for AI agents — send and receive real email and text messages, and place agent-driven outbound voice calls, all programmatically", "description": "Agenticmail provides programmatic email, SMS, and outbound voice call infrastructure for AI agents. It is a TypeScript library that enables agents to send and receive real email and text messages and place voice calls.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to communicate via email, SMS, or voice calls", "useCases": [ "Enable an AI agent to send confirmation emails and SMS alerts", "Build an agent that can make outbound phone calls to users", "Receive and process incoming email and text messages programmatically" ], "pros": [ "Covers multiple communication channels (email, SMS, voice) in one library", "Written in TypeScript for type safety and modern development", "Open source with 135 GitHub stars, indicating community interest" ], "cons": [ "Relatively new project with limited community adoption", "May require additional infrastructure for production-scale use", "Documentation and examples may be sparse" ], "tags": [ "agent", "agent-email", "agent-sms", "ai", "ai-agent", "claude-code", "claude-code-plugin", "claudemcp" ], "featured": false, "tier": "curated", "stars": 135, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/agenticmail/agenticmail", "relations": { "works_in": [ "claude-code", "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/agenticmail-agenticmail" }, { "slug": "agenticrevolution-memory-nexus-cloud", "name": "AgenticRevolution/memory-nexus-cloud", "vendor": "Various", "tagline": "📇 ☁️ - Cloud-hosted persistent semantic memory for AI agents. Semantic search, knowledge graphs, specialist expertise hats, and multi-tenant isolation. Free 7-day trial.", "description": "Cloud-hosted persistent semantic memory for AI agents. Provides semantic search, knowledge graphs, specialist expertise hats, and multi-tenant isolation. Offers a free 7-day trial to evaluate the service.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "AI agent developers needing scalable, persistent semantic memory with multi-tenant isolation", "useCases": [ "Store agent conversation histories for long-term context retrieval", "Enable agents to share knowledge across sessions using semantic search", "Assign domain-specific expertise hats to specialize agent behavior" ], "pros": [ "Cloud-hosted removes self-hosting overhead", "Multi-tenant isolation supports separate agent groups", "Free trial allows risk-free testing" ], "cons": [ "Requires internet connectivity (cloud dependency)", "7-day trial limits extended evaluation", "Latency may be higher than local solutions" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/AgenticRevolution/memory-nexus-cloud", "relations": { "works_in": [ "cursor", "cline", "claude-code", "aider" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "topoteretes-cognee", "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/agenticrevolution-memory-nexus-cloud" }, { "slug": "agentled-mcp-server", "name": "Agentled/mcp-server", "vendor": "Various", "tagline": "The automation engine built for AI agents. Workflows, memory, and 100+ integrations — one API key.", "description": "Agentled/mcp-server is an open-source TypeScript automation engine that provides workflows, memory, and over 100 integrations through a single API key. It is designed to be used by AI agents to orchestrate tasks and access external services.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers prototyping AI agent workflows with many integrations", "useCases": [ "Connecting AI agents to third-party APIs and databases", "Building multi-step workflows with persistent memory", "Automating repetitive tasks across integrated services" ], "pros": [ "Large library of pre-built integrations reduces custom coding", "Single API key simplifies authentication across services", "Open-source and TypeScript-based for easy customization" ], "cons": [ "Low community adoption with only 2 GitHub stars", "Limited documentation and support due to early stage", "Dependency on a single API key may create a security bottleneck" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/Agentled/mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "pipedreamhq-pipedream" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/agentled-mcp-server" }, { "slug": "agentlux-agentlux-mcp", "name": "agentlux/agentlux-mcp", "vendor": "Various", "tagline": "Embedded MCP toolkit for AgentLux marketplace, identity, creator, services, and social flows", "description": "An embedded MCP (Model Context Protocol) toolkit for the AgentLux ecosystem. It provides server implementations for marketplace, identity, creator, services, and social flows. Developers integrate these MCP servers to enable AI agents to interact with AgentLux platform features.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents within the AgentLux marketplace ecosystem", "useCases": [ "Integrating marketplace functionality into AI agents", "Managing identity and creator flows via MCP", "Building social and service interactions for AgentLux" ], "pros": [ "Pre-built MCP servers for common AgentLux domains", "TypeScript implementation for straightforward integration", "Open source with potential for community contributions" ], "cons": [ "No community adoption yet (0 stars on GitHub)", "Limited documentation or examples likely", "Tied to the AgentLux ecosystem, not general-purpose" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/agentlux/agentlux-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "awslabs-mcp", "fastmcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/agentlux-agentlux-mcp" }, { "slug": "agentmail-toolkit-mcp", "name": "agentmail-toolkit/mcp", "vendor": "Various", "tagline": "🐍 💬 - An MCP server to create inboxes on the fly to send, receive, and take actions on email. We aren't AI agents for email, but email for AI Agents.", "description": "An MCP server that creates temporary email inboxes on demand for sending, receiving, and acting on messages. It provides a programmatic email interface designed for AI agents rather than automating existing email workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that require programmatic email send/receive functionality", "useCases": [ "Create disposable inboxes for agent-driven email testing or verification", "Send and receive emails directly from an agent's MCP toolchain", "Automate email actions like replying or forwarding within agent scripts" ], "pros": [ "Lightweight MCP server with a focused email API", "On-the-fly inbox creation removes setup overhead", "Simple integration for agents needing email capabilities" ], "cons": [ "Small community and limited adoption (74 stars)", "May lack advanced features like attachments or filtering", "Relies on MCP ecosystem compatibility" ], "tags": [], "featured": false, "tier": "curated", "stars": 74, "language": [ "TypeScript" ], "lastUpdated": "2026-05-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/agentmail-to/agentmail-toolkit/tree/main/mcp", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [ "elie222-inbox-zero" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/agentmail-toolkit-mcp" }, { "slug": "agentmodule-mcp", "name": "AgentModule/mcp", "vendor": "Various", "tagline": "Agent Module MCP Server — deterministic knowledge retrieval for autonomous agents", "description": "AgentModule/mcp is a JavaScript server implementing the Model Context Protocol (MCP) for knowledge retrieval. It gives deterministic, reproducible answers to autonomous agents, avoiding probabilistic or generative outputs. The project is open source with contributions from various developers.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing predictable knowledge retrieval for autonomous agents", "useCases": [ "Providing consistent fact lookup for AI agents", "Integrating deterministic knowledge bases with MCP-compatible clients", "Reducing hallucination in agent responses through fixed retrieval" ], "pros": [ "Deterministic outputs ensure repeatable agent behavior", "Open source with multiple maintainers broadens potential contributions", "Uses JavaScript, a widely adopted language for tooling" ], "cons": [ "Very early stage project with only 1 star on GitHub", "Limited documentation and community support expected", "Tied to MCP ecosystem, which is still maturing" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/AgentModule/mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "upstash-context7" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/agentmodule-mcp" }, { "slug": "agentra", "name": "agentra", "vendor": "ai.agentrapay", "tagline": "Identity oracle and trust layer for autonomous AI agents. Bidirectional KYA and trust scoring.", "description": "Agentra is an identity oracle and trust layer for autonomous AI agents. It provides bidirectional Know Your Agent (KYA) and trust scoring to verify agent identities and establish trust. Agents can use its API to assess the trustworthiness of other agents before interacting.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building autonomous agent ecosystems that need identity and trust verification", "useCases": [ "Verifying the identity of autonomous agents before transactions", "Establishing trust scores for agent-to-agent interactions", "Implementing bidirectional KYA for agent onboarding" ], "pros": [ "Provides a dedicated trust layer for agent identity verification", "Enables trust scoring without manual intervention", "Supports bidirectional verification for mutual trust" ], "cons": [ "Requires agents to integrate with agentra's API", "Trust scoring accuracy depends on available data", "Potential centralization concerns if oracle is the sole authority" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://api.agentrapay.ai/mcp", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/agentra" }, { "slug": "agenttrust-identity-trust-for-a2a-agents", "name": "AgentTrust — Identity & Trust for A2A Agents", "vendor": "ai.agenttrust", "tagline": "MCP server for AgentTrust — A2A communication, agent identity, HITL escalation, and prompt injection detection", "description": "AgentTrust is an MCP server that provides agent identity management, agent-to-agent (A2A) communication, human-in-the-loop (HITL) escalation, and prompt injection detection. It enables developers to enforce trust boundaries and security in multi-agent workflows by standardizing identity and escalation protocols.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building multi-agent systems that need built-in identity, escalation, or prompt injection defenses", "useCases": [ "Securing communication between autonomous agents in a multi-agent system", "Integrating human oversight into agent decision pipelines via HITL escalation", "Detecting and mitigating prompt injection attacks in agent interactions" ], "pros": [ "Covers critical security needs: agent identity, HITL, and prompt injection detection in one package", "Leverages the MCP standard for easy integration with compatible agent frameworks", "Open source with a focused feature set for trust in A2A communication" ], "cons": [ "Very early stage with only 1 star, indicating minimal community adoption and validation", "Documentation and examples may be limited due to newness", "Requires understanding of MCP protocol and agent infrastructure to set up" ], "tags": [ "a2a", "agent-identity", "agent-to-agent", "ai-agents", "hitl", "human-in-the-loop", "mcp", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-09", "addedAt": "2026-06-01", "officialLink": "https://github.com/agenttrust/mcp-server", "relations": { "works_in": [ "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/agenttrust-identity-trust-for-a2a-agents" }, { "slug": "agentward-ai-agentward", "name": "agentward-ai/agentward", "vendor": "Various", "tagline": "Open-source permission control plane for AI agents. Scan, enforce, and audit every tool call.", "description": "Agentward is an open-source permission control plane for AI agents. It intercepts every tool call made by an agent, applies permission policies, and logs all calls for audit. Written in Python, it helps developers enforce security rules on agent actions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Teams that need to enforce and audit permissions in agentic workflows", "useCases": [ "Enforce access control for agent tool calls", "Audit tool usage in agent workflows", "Scan agent behavior for policy violations" ], "pros": [ "Open source and self-hostable", "Provides a clear audit trail of every tool call", "Lightweight Python implementation" ], "cons": [ "Low GitHub stars (18) suggests early stage or low adoption", "Limited community support and documentation", "Tied to Python ecosystem, not language-agnostic" ], "tags": [], "featured": false, "tier": "curated", "stars": 18, "language": [ "Python" ], "lastUpdated": "2026-04-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/agentward-ai/agentward", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/agentward-ai-agentward" }, { "slug": "agimaulana-huaweiappgallerymcp", "name": "AgiMaulana/HuaweiAppGalleryMcp", "vendor": "Various", "tagline": "AgiMaulana/HuaweiAppGalleryMcp — indexed from awesome-mcp-servers-punkpeye", "description": "AgiMaulana/HuaweiAppGalleryMcp is an open-source MCP server written in Python that provides a way to interact with Huawei's AppGallery through the Model Context Protocol. It enables developers to automate tasks related to app submissions, listings, and management on the Huawei App Store.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing to automate Huawei AppGallery tasks via MCP who can tolerate low community support.", "useCases": [ "Automating app submission to Huawei AppGallery", "Managing app listings and metadata", "Integrating AppGallery operations into MCP-compatible workflows" ], "pros": [ "Open source and freely available on GitHub", "Written in Python, easy to extend or modify", "Implements the MCP standard for tool integration" ], "cons": [ "Very few GitHub stars indicates limited adoption or testing", "Potential lack of active maintenance or community support", "No detailed documentation beyond the repository index" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/AgiMaulana/HuaweiAppGalleryMcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/agimaulana-huaweiappgallerymcp" }, { "slug": "agntor-mcp", "name": "agntor/mcp", "vendor": "Various", "tagline": "📇 ☁️ 🍎 🪟 🐧 - MCP audit server for agent discovery and certification. Provides trust and payment rail for AI agents including identity verification, escrow, settlement, and repu", "description": "agntor/mcp is an MCP audit server that enables agent discovery and certification. It provides trust and payment infrastructure for AI agents, including identity verification, escrow, settlement, and reputation tracking.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building agent networks that need identity verification and payment rails", "useCases": [ "Verify agent identity and trustworthiness before interaction", "Manage escrow and settlement for agent-to-agent payments", "Audit and certify agent behavior on a shared network" ], "pros": [ "Addresses trust and payment gaps in agent ecosystems", "Built as an MCP server for easy integration", "Written in TypeScript for type safety and broad compatibility" ], "cons": [ "Zero stars and no community traction yet", "Limited documentation or usage examples available", "Requires agents to adopt MCP protocol for full benefit" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-02-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/agntor/mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/agntor-mcp" }, { "slug": "agrath-trello-desktop-mcp", "name": "agrath/Trello-Desktop-MCP", "vendor": "Various", "tagline": "Trello integration for Claude Desktop via Model Context Protocol (MCP) - 19 tools for comprehensive board, card, and list management", "description": "A Model Context Protocol server that connects Claude Desktop to Trello, exposing 19 tools for board, card, and list management. Users interact with Trello via natural language commands through Claude Desktop.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude Desktop who want to manage Trello projects through conversational commands", "useCases": [ "Create and assign cards on Trello boards from Claude conversations", "Move cards between lists or update labels and due dates", "List boards, cards, and members for quick project overviews" ], "pros": [ "Comprehensive tool coverage with 19 distinct management actions", "Native integration with Claude Desktop via the MCP standard", "Written in TypeScript, providing type safety and developer familiarity" ], "cons": [ "Limited to Claude Desktop as the only supported client", "Low community traction (1 star) may indicate minimal testing or support", "Requires both a Trello API key and MCP configuration to use" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/agrath/Trello-Desktop-MCP", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/agrath-trello-desktop-mcp" }, { "slug": "agnuxo1-benchclaw-integrations", "name": "Agnuxo1/benchclaw-integrations", "vendor": "Various", "tagline": "BenchClaw adapters for LangChain, LlamaIndex, CrewAI, Ollama Open WebUI, LobeChat, n8n, Dify, Continue.dev and more. Lets any agent framework submit to the P2PCLAW leaderboard.", "description": "A collection of Python adapters that let agent frameworks like LangChain, LlamaIndex, CrewAI, and n8n submit results to the P2PCLAW leaderboard. Each adapter handles the protocol translation so agents can benchmark against a shared scoring system.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to prototype and compare multiple agent frameworks against a shared benchmark", "useCases": [ "Submit agent runs from LangChain to the P2PCLAW leaderboard", "Benchmark LlamaIndex pipelines against a common leaderboard", "Connect n8n workflows to competitive agent evaluations" ], "pros": [ "Covers a wide range of popular agent frameworks in one repo", "Minimal integration overhead with prefabricated adapters", "Centralized leaderboard submission for cross-framework comparison" ], "cons": [ "Very early project with only 2 GitHub stars", "Limited documentation beyond the repo readme", "May lack production hardening or active maintenance" ], "tags": [ "agent-framework", "ai-agent", "ai-agents", "benchclaw", "benchmarking", "continue-dev", "crewai", "dify" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-04-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/Agnuxo1/benchclaw-integrations/tree/main/mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "langchain" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/agnuxo1-benchclaw-integrations" }, { "slug": "ahmetsbilgin-finbrain-mcp", "name": "ahmetsbilgin/finbrain-mcp", "vendor": "Various", "tagline": "FinBrain MCP server: expose FinBrain datasets to AI agents (Claude, VSCode etc.) via SDK-first tools. Runs locally with each user's own FinBrain API key.", "description": "FinBrain MCP server exposes FinBrain datasets to AI agents like Claude and VSCode via SDK-first tools. It runs locally and requires each user to provide their own FinBrain API key.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to query FinBrain financial datasets from AI agents like Claude or VSCode", "useCases": [ "Query financial datasets from AI agents in real time", "Integrate FinBrain data into VSCode or Claude workflows", "Build custom financial analysis tools with Python SDK" ], "pros": [ "Enables direct AI agent access to structured financial data", "Runs locally for privacy and control", "Simple SDK-first design for developers" ], "cons": [ "Requires a FinBrain API key, which may not be free", "Limited to datasets available through FinBrain", "Small community with only 8 GitHub stars" ], "tags": [], "featured": false, "tier": "curated", "stars": 8, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/ahmetsbilgin/finbrain-mcp", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ahmetsbilgin-finbrain-mcp" }, { "slug": "ahnlabio-bicscan-mcp", "name": "ahnlabio/bicscan-mcp", "vendor": "Various", "tagline": "BICScan MCP Server", "description": "A Python-based MCP server for BICScan. It exposes BICScan functionality through the Model Context Protocol, enabling AI agents and MCP-compatible clients to interact with BICScan data and operations.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to bridge BICScan with AI agents via the Model Context Protocol", "useCases": [ "Connect AI assistants to BICScan for querying or analysis", "Automate BICScan workflows via MCP-compatible tools", "Integrate BICScan into larger AI agent pipelines" ], "pros": [ "Lightweight Python implementation", "Follows the standard MCP protocol for interoperability", "Open source with a permissive license" ], "cons": [ "Small community and limited adoption (16 stars)", "Documentation and usage examples are sparse", "Dependent on BICScan's own features and stability" ], "tags": [], "featured": false, "tier": "curated", "stars": 16, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-02-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/ahnlabio/bicscan-mcp", "relations": { "works_in": [ "claude-code", "cline", "cursor", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ahnlabio-bicscan-mcp" }, { "slug": "ahujasid-blender-mcp", "name": "ahujasid/blender-mcp", "vendor": "Various", "tagline": "🐍 - MCP server for working with Blender", "description": "A Model Context Protocol (MCP) server that exposes Blender's Python API to LLMs and AI agents. Enables programmatic control of Blender scenes, objects, and rendering through a standardized interface without direct GUI interaction.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to generate or modify 3D content in Blender programmatically", "useCases": [ "Automating 3D scene generation and asset manipulation from text prompts", "Integrating Blender workflows into AI agent pipelines", "Scripting complex modeling and rendering tasks via LLM commands" ], "pros": [ "Bridges Blender and LLM ecosystems through standard MCP protocol", "Leverages Blender's full Python API surface", "Active community project with significant GitHub engagement" ], "cons": [ "Requires Blender installation and Python environment setup", "LLM reliability for complex 3D operations remains unproven at scale", "Limited documentation on supported Blender versions and API coverage" ], "tags": [], "featured": false, "tier": "curated", "stars": 22223, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-01-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/ahujasid/blender-mcp", "relations": { "works_in": [ "cursor", "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ahujasid-blender-mcp" }, { "slug": "ai-by-design-primitiv", "name": "AI-by-design/primitiv", "vendor": "Various", "tagline": "The design system infrastructure keeping teams and agents in sync.", "description": "A TypeScript design system infrastructure that helps teams and automated agents maintain consistent UI components. It provides a shared system for defining and synchronizing design tokens and component patterns.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Small teams or experimental projects wanting to enforce design consistency through code, especially those exploring AI-assisted development.", "useCases": [ "Defining reusable UI components with typed design tokens", "Keeping human developers and AI agents aligned on design rules", "Building a single source of truth for design across projects" ], "pros": [ "Type-safe design system definitions in TypeScript", "Designed to sync design intent between teams and agents", "Open source with permissive licensing" ], "cons": [ "Very early stage with only 16 GitHub stars, indicating limited community", "Likely minimal documentation or examples", "No evidence of production readiness or widespread adoption" ], "tags": [ "ai-agents", "design-system", "design-tokens", "figma", "llm-tools", "llm-tools-directory-tree", "mcp", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 16, "language": [ "TypeScript" ], "lastUpdated": "2026-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/AI-by-design/primitiv", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "glips-figma-context-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ai-by-design-primitiv" }, { "slug": "aiagentkarl-solana-mcp-server", "name": "AiAgentKarl/solana-mcp-server", "vendor": "Various", "tagline": "MCP-Server für Solana-Blockchain-Daten — Wallets, Token-Preise, DeFi-Yields, Sicherheitschecks", "description": "An MCP (Model Context Protocol) server that exposes Solana blockchain data including wallet balances, token prices, DeFi yields, and security checks. It enables AI agents to query on-chain information through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to query Solana blockchain data through MCP", "useCases": [ "Retrieving live token prices for Solana assets", "Checking wallet balances and transaction history", "Monitoring DeFi yield rates and performing security checks" ], "pros": [ "Covers multiple Solana data types in a single MCP server", "Provides a structured interface for AI agents to interact with blockchain data", "Offers security check functionality alongside standard queries" ], "cons": [ "Zero GitHub stars indicates low adoption or early stage", "Codebase appears to be HTML which is unusual for a server tool", "Maintenance status and support are unclear" ], "tags": [ "ai", "ai-agent", "blockchain", "crypto", "defi", "mcp", "mcp-server", "solana" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "HTML" ], "license": "MIT", "lastUpdated": "2026-04-03", "addedAt": "2026-06-01", "officialLink": "https://github.com/AiAgentKarl/solana-mcp-server", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/aiagentkarl-solana-mcp-server" }, { "slug": "aidatanordic-alexandria-mcp", "name": "AIDataNordic/alexandria-mcp", "vendor": "Various", "tagline": "Semantic search over 4.6 million text chunks from 20,000 classical philosophy and humanities works. Built for AI agents using FastMCP.", "description": "Provides semantic search over 4.6 million text chunks from 20,000 classical philosophy and humanities works. Built for AI agents using FastMCP, it enables retrieval of relevant passages via vector similarity. The corpus covers a broad range of ancient and classical texts.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to query classical philosophy and humanities texts", "useCases": [ "Searching and retrieving passages from classical philosophy works", "Integrating humanities knowledge into AI agent workflows", "Building semantic search applications over large curated text corpora" ], "pros": [ "Large specialized corpus of 20,000 classical works", "Designed specifically for AI agent integration via FastMCP", "Covers a wide range of philosophy and humanities texts" ], "cons": [ "No stars on GitHub indicates low community adoption or early stage", "Limited to classical philosophy and humanities, not general knowledge", "Requires setup with FastMCP and Python, may not be plug-and-play" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/AIDataNordic/alexandria-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/aidatanordic-alexandria-mcp" }, { "slug": "aidatanordic-food-recipe-mcp", "name": "AIDataNordic/Food-Recipe-MCP", "vendor": "Various", "tagline": "A production-grade semantic search server for food recipes — built for AI agents using the Model Context Protocol (MCP). Search across 50,000+ recipes with hybrid dense + sparse re", "description": "A production-grade semantic search server for food recipes. It is built for AI agents using the Model Context Protocol (MCP). Search across 50,000+ recipes with hybrid dense and sparse retrieval and cross-encoder reranking.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building food-related AI assistants or agents using MCP", "useCases": [ "Searching food recipes in AI agent workflows", "Integrating recipe data into MCP-compatible tools", "Retrieving recipes using hybrid semantic search" ], "pros": [ "Hybrid retrieval with reranking yields relevant results", "Large curated dataset of 50,000 recipes", "Designed for integration with MCP-based agents" ], "cons": [ "Requires an MCP client or framework to use", "Limited to the food domain only", "No managed hosting or API endpoint provided" ], "tags": [ "fastmcp", "food", "mcp", "recipes", "semantic-search" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/AIDataNordic/Food-Recipe-MCP", "relations": { "works_in": [ "cline", "claude-code", "cursor" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/aidatanordic-food-recipe-mcp" }, { "slug": "aidc-ai-pixelle-mcp", "name": "AIDC-AI/Pixelle-MCP", "vendor": "Various", "tagline": "An Open-Source Multimodal AIGC Solution based on ComfyUI + MCP + LLM https://pixelle.ai", "description": "An open-source multimodal AI generation solution integrating ComfyUI workflows, the Model Context Protocol (MCP), and large language models. It allows developers to build and orchestrate image, video, and text generation pipelines through a unified interface. The project provides a Python-based framework for customizing and extending generative AI applications.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building custom multimodal AIGC pipelines who want to combine ComfyUI with LLMs.", "useCases": [ "Building multimodal generation pipelines with ComfyUI and LLMs", "Automating AI content creation via MCP-controlled workflows", "Developing custom AIGC applications with Python extensibility" ], "pros": [ "Modular design leveraging ComfyUI's powerful node system", "Integrates MCP for standardized context management across models", "Active open-source community with over 1k stars" ], "cons": [ "Requires familiarity with ComfyUI and MCP concepts", "Documentation may not cover all edge cases for custom pipelines", "Depends on external LLM and ComfyUI infrastructure" ], "tags": [], "featured": false, "tier": "curated", "stars": 1032, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-12-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/AIDC-AI/Pixelle-MCP", "relations": { "works_in": [], "uses": [ "comfyui" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/aidc-ai-pixelle-mcp" }, { "slug": "aidemd-mcp-server", "name": "aidemd-mcp/server", "vendor": "Various", "tagline": "MCP server that teaches any AI agent the AIDE spec methodology — progressive disclosure specs alongside code", "description": "An MCP server that implements the AIDE spec methodology, enabling AI agents to work with progressive disclosure specifications alongside code. It provides a standardized interface for agents to read, write, and manage spec files that unfold detail incrementally. The server is written in TypeScript and designed to integrate into AI coding workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-assisted coding workflows that follow the AIDE progressive disclosure spec methodology", "useCases": [ "Teaching AI agents to follow progressive disclosure specification patterns", "Managing AIDE spec files alongside code in agent-assisted development", "Integrating structured spec methodology into MCP-compatible AI coding tools" ], "pros": [ "Enforces a structured spec methodology that reduces ambiguity for AI agents", "Open source with TypeScript implementation, easy to extend or audit", "Lightweight MCP server, straightforward to self-host" ], "cons": [ "Very early stage with only 2 GitHub stars, limited community or support", "Narrowly scoped to the AIDE spec methodology, not general-purpose", "Requires AI agents to be MCP-aware, which is still a nascent ecosystem" ], "tags": [ "ai-coding", "aide-methodology", "aidemd", "claude-code", "cursor", "developer-tools", "mcp-server", "windsurf" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/aidemd-mcp/server", "relations": { "works_in": [ "cline", "claude-code", "cursor", "continue", "aider" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/aidemd-mcp-server" }, { "slug": "aidesignblueprint-integrations", "name": "aidesignblueprint/integrations", "vendor": "Various", "tagline": "Official integrations and installable doctrine for AI Design Blueprint — MCP, IDE rules, prompt files, and agent runtimes.", "description": "This repository provides official integrations and installable doctrine for AI Design Blueprint, including MCP, IDE rules, prompt files, and agent runtimes. It is built in Python and serves as a structured collection for developers using the blueprint framework.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building on AI Design Blueprint who need pre-built integration components", "useCases": [ "Setting up MCP integrations for AI Design Blueprint", "Configuring IDE rules to standardize AI development workflows", "Deploying prompt files and agent runtimes from a single source" ], "pros": [ "Official and curated integrations for the blueprint", "Covers multiple integration types in one repository", "Open source with Python base for easy customization" ], "cons": [ "Very low star count suggests limited community adoption", "May lack extensive documentation or examples", "Narrow focus on the AI Design Blueprint only" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/aidesignblueprint/integrations", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp", "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/aidesignblueprint-integrations" }, { "slug": "aikts-yandex-tracker-mcp", "name": "aikts/yandex-tracker-mcp", "vendor": "Various", "tagline": "Yandex Tracker MCP Server with OAuth2 support", "description": "An MCP server that provides access to Yandex Tracker via the Model Context Protocol. It uses OAuth2 for authentication and is written in Python. Enables AI tools to interact with Yandex Tracker issues and projects.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI integrations with Yandex Tracker", "useCases": [ "Querying tasks and projects from Yandex Tracker", "Creating and updating issues through an AI assistant", "Automating workflow triggers based on Tracker state changes" ], "pros": [ "Follows the MCP standard for interoperability with AI hosts", "Supports secure OAuth2 authentication", "Lightweight open source Python implementation" ], "cons": [ "Limited to Yandex Tracker only", "Requires setting up OAuth2 credentials", "Modest community adoption (81 stars)" ], "tags": [ "asyncio", "mcp", "mcp-server", "oauth2", "python", "tracker", "yandex", "yandex-tracker" ], "featured": false, "tier": "curated", "stars": 81, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-05-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/aikts/yandex-tracker-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "sooperset-mcp-atlassian" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/aikts-yandex-tracker-mcp" }, { "slug": "ailenshen-apple-notes-mcp", "name": "ailenshen/apple-notes-mcp", "vendor": "Various", "tagline": "Read and write Apple Notes, with Apple Notes native formatting support", "description": "This tool is a Model Context Protocol server that enables reading and writing Apple Notes with native formatting support. It is built in TypeScript and allows developers to integrate Apple Notes into AI workflows or other applications via the MCP standard.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building macOS-native AI integrations that need to read or write Apple Notes", "useCases": [ "Automating note creation from AI assistant outputs", "Extracting and processing Apple Notes content programmatically", "Integrating Apple Notes with other MCP-compatible tools" ], "pros": [ "Supports native Apple Notes formatting like bold, lists, and links", "Open source and written in TypeScript for type safety", "Follows the MCP standard for interoperability" ], "cons": [ "Only works on macOS due to Apple Notes platform dependency", "Small community with only 7 stars, limited support and documentation", "Requires local setup and configuration of the MCP server" ], "tags": [ "ai", "apple", "apple-notes", "claude", "llm", "macos", "markdown", "mcp" ], "featured": false, "tier": "curated", "stars": 7, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/ailenshen/apple-notes-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "microsoft-markitdown", "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ailenshen-apple-notes-mcp" }, { "slug": "aim-intelligence-aim-guard-mcp", "name": "AIM-Intelligence/AIM-Guard-MCP", "vendor": "Various", "tagline": "AIM MCP Server :: Guard and Protect your MCPs & AI Chatting", "description": "AIM-Guard-MCP is an open-source server that provides guard and protection for Model Context Protocol (MCP) endpoints and AI chat interactions. Built in TypeScript, it acts as a middleware layer to filter or monitor messages between clients and AI models.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based AI systems that require basic content safety guards", "useCases": [ "Securing MCP endpoints against malicious inputs", "Filtering inappropriate content in AI chatbot sessions", "Enforcing safety policies on AI model interactions" ], "pros": [ "Open source and free to use", "Written in TypeScript for easy integration with Node.js projects", "Lightweight server designed for MCP compatibility" ], "cons": [ "Low community adoption with only 20 stars", "Limited documentation and examples", "May lack advanced features found in commercial alternatives" ], "tags": [], "featured": false, "tier": "curated", "stars": 20, "language": [ "TypeScript" ], "license": "ISC", "lastUpdated": "2025-10-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/AIM-Intelligence/AIM-MCP", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "continue", "cursor" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/aim-intelligence-aim-guard-mcp" }, { "slug": "aimlpm-markcrawl", "name": "AIMLPM/markcrawl", "vendor": "Various", "tagline": "Fast Python web crawler for RAG and AI ingestion. Extracts clean Markdown from any site for LLMs and vector stores.", "description": "A fast Python web crawler that extracts clean Markdown from websites. Designed for RAG and AI ingestion pipelines, it outputs content ready for use by LLMs and vector stores.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a lightweight Markdown crawler for small to medium-scale RAG ingestion", "useCases": [ "Building RAG pipelines with web content", "Ingesting documentation into vector stores", "Extracting clean Markdown for LLM training data" ], "pros": [ "Fast crawling for Markdown extraction", "Produces clean Markdown output suitable for LLM ingestion", "Python-based, easy to integrate into data pipelines" ], "cons": [ "Very low community adoption (2 stars), indicating early-stage or limited testing", "No single vendor backing for support or maintenance", "May lack advanced features like rate limiting or dynamic content handling" ], "tags": [ "ai-agents", "anthropic-claude", "data-extraction", "gemini", "ingestion-pipeline", "llm", "markdown-extraction", "openai" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/AIMLPM/markcrawl", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "microsoft-markitdown" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/aimlpm-markcrawl" }, { "slug": "airblackbox-air-blackbox-mcp", "name": "airblackbox/air-blackbox-mcp", "vendor": "Various", "tagline": "MCP server for AIR Blackbox. Expose audit, replay, scan, and compliance tools to any MCP-compatible agent or IDE.", "description": "An MCP server that exposes AIR Blackbox's audit, replay, scan, and compliance tools to any MCP-compatible agent or IDE. It allows AI-driven workflows to invoke these security and compliance capabilities directly from agents or editors.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-integrated security or compliance workflows in Python-based environments", "useCases": [ "Triggering automated security scans from an AI coding assistant", "Running compliance checks as part of a development pipeline via an MCP agent", "Querying audit logs or replaying sessions through an MCP-compatible IDE plugin" ], "pros": [ "Open-source and extensible", "Leverages the MCP standard for broad agent/IDE compatibility", "Provides a structured, programmatic interface to security tooling" ], "cons": [ "Very early stage with only 1 GitHub star and little community adoption", "Limited documentation and usage examples", "Python-only implementation may not suit all deployment environments" ], "tags": [ "ai-safety", "claude", "compliance", "cursor", "eu-ai-act", "mcp", "python" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-05-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/airblackbox/air-blackbox-mcp", "relations": { "works_in": [ "cline", "claude-code", "cursor", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/airblackbox-air-blackbox-mcp" }, { "slug": "aitytech-agentkits-memory", "name": "aitytech/agentkits-memory", "vendor": "Various", "tagline": "Persistent memory system for AI coding assistants via MCP. Works with Claude Code, Cursor, Copilot, Windsurf, Cline.", "description": "A persistent memory system for AI coding assistants that operates via the Model Context Protocol (MCP). It integrates with tools like Claude Code, Cursor, Copilot, Windsurf, and Cline to maintain context across sessions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using multiple AI coding assistants who need persistent session memory", "useCases": [ "Keep chat history and project knowledge alive between Claude Code sessions", "Provide consistent context for Cursor agent across multiple tasks", "Enable long-running memory for Cline workflows" ], "pros": [ "Works with multiple popular coding assistants", "Lightweight MCP-based integration", "Written in TypeScript for easy maintenance" ], "cons": [ "Small community with 61 GitHub stars", "Requires MCP setup and configuration", "Limited to supported MCP-compatible tools" ], "tags": [], "featured": false, "tier": "curated", "stars": 61, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-02-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/aitytech/agentkits-memory", "relations": { "works_in": [ "claude-code", "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "topoteretes-cognee" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/aitytech-agentkits-memory" }, { "slug": "aiven-open-mcp-aiven", "name": "Aiven-Open/mcp-aiven", "vendor": "Various", "tagline": "Model Context Protocol server for Aiven", "description": "A Model Context Protocol server that exposes Aiven cloud services to AI agents. It allows agents to interact with Aiven resources like Kafka, PostgreSQL, and OpenSearch through a standardized MCP interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Aiven who want to manage cloud services through AI agents", "useCases": [ "Provisioning and managing Aiven services via natural language prompts", "Querying Aiven database schemas and Kafka topics through an AI agent", "Automating Aiven infrastructure tasks in development workflows" ], "pros": [ "Provides a standardized MCP interface for Aiven services", "Written in TypeScript for type safety and easy integration", "Open source with a permissive license" ], "cons": [ "Very early stage with only 19 GitHub stars", "Limited documentation and community support", "Requires an Aiven account and API credentials to use" ], "tags": [], "featured": false, "tier": "curated", "stars": 19, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/Aiven-Open/mcp-aiven", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "awslabs-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/aiven-open-mcp-aiven" }, { "slug": "aiweather-anurag-ottasia-mcp-server", "name": "AIweather-Anurag/ottasia-mcp-server", "vendor": "Various", "tagline": "OTTASIA MCP server — answer \"where can I watch X in Y\" for 30 Asian and Middle Eastern streaming markets, callable from Claude Desktop.", "description": "OTTASIA MCP server that answers queries about streaming availability for specific titles across 30 markets in Asia and the Middle East. It integrates with Claude Desktop as an MCP tool to provide real-time localization for video content.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building streaming information tools for Asian and Middle Eastern markets", "useCases": [ "Finding which platform streams a movie in India", "Checking regional availability for a TV show in the Middle East", "Building a content localization assistant for streaming services" ], "pros": [ "Covers underserved Asian and Middle Eastern streaming markets", "Integrates directly with Claude Desktop via MCP", "Open source TypeScript implementation" ], "cons": [ "Limited to 30 markets, may not cover all regions", "Zero stars and community activity suggests early or niche project", "Requires Claude Desktop to function as intended" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "lastUpdated": "2026-05-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/AIweather-Anurag/ottasia-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "browsermcp-mcp", "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/aiweather-anurag-ottasia-mcp-server" }, { "slug": "ajitpratap0-gosqlx", "name": "ajitpratap0/GoSQLX", "vendor": "Various", "tagline": "High-performance SQL parser, formatter, linter & security scanner for Go - 1.5M+ ops/sec, multi-dialect, zero-copy, race-free", "description": "GoSQLX is a high-performance SQL parser, formatter, linter, and security scanner for Go. It processes over 1.5 million operations per second with zero-copy parsing and supports multiple SQL dialects in a race-free manner.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Go developers needing a fast, lightweight SQL parser and security scanner", "useCases": [ "Format and lint SQL queries in Go applications", "Scan SQL for security vulnerabilities during development", "Parse and analyze multi-dialect SQL statements at high throughput" ], "pros": [ "Extremely fast parsing at 1.5M+ ops/sec", "Zero-copy design reduces memory overhead", "Multi-dialect support for different SQL variants" ], "cons": [ "Limited to Go ecosystem only", "Small community with only 97 GitHub stars", "May lack advanced features of more mature SQL tools" ], "tags": [ "ast", "cli", "dialect", "go", "golang", "lsp", "mysql", "parser" ], "featured": false, "tier": "curated", "stars": 97, "language": [ "Go" ], "license": "Apache-2.0", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/ajitpratap0/GoSQLX", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ajitpratap0-gosqlx" }, { "slug": "akramiot-mcp-ai-soc-sher", "name": "akramIOT/MCP_AI_SOC_Sher", "vendor": "Various", "tagline": "AI SOC Security Threat analysis using MCP Server", "description": "This tool provides security threat analysis for SOC teams using an MCP server. It is implemented in Python and analyzes security events or data to identify threats.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-integrated security tools for SOC environments", "useCases": [ "Automating SOC threat analysis workflows", "Integrating MCP-based threat detection into security pipelines", "Analyzing security events for potential threats" ], "pros": [ "Open source and freely available", "Python-based for easy integration into existing toolchains", "Specialized for MCP server-based threat analysis" ], "cons": [ "Limited community adoption with only 9 stars on GitHub", "May lack extensive documentation or support", "Narrow focus on MCP server integration may limit broader use" ], "tags": [ "ai-soc", "mcp-security", "mcp-server" ], "featured": false, "tier": "curated", "stars": 9, "language": [ "Python" ], "lastUpdated": "2025-04-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/akramIOT/MCP_AI_SOC_Sher", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [ "lauriewired-ghidramcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/akramiot-mcp-ai-soc-sher" }, { "slug": "akseyh-bear-mcp-server", "name": "akseyh/bear-mcp-server", "vendor": "Various", "tagline": "MCP Server integration for Bear note app", "description": "An MCP server that connects AI assistants to the Bear note-taking app. It enables reading, searching, and creating notes in Bear through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who use Bear for notes and want AI assistants to interact with them", "useCases": [ "Search and retrieve notes from Bear via AI chat interfaces", "Create new Bear notes programmatically through an MCP client", "Integrate Bear note content into AI-assisted workflows" ], "pros": [ "Lightweight JavaScript implementation with clear MCP integration", "Directly bridges Bear's local database with AI tools", "Open source with 44 stars and active maintenance" ], "cons": [ "Limited to Bear's note structure and local macOS environment", "No support for attachments or rich media in notes", "Requires manual MCP client setup and configuration" ], "tags": [], "featured": false, "tier": "curated", "stars": 44, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2025-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/akseyh/bear-mcp-server", "relations": { "works_in": [ "cline", "cursor", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/akseyh-bear-mcp-server" }, { "slug": "aktsmm-skill-ninja-mcp-server", "name": "aktsmm/skill-ninja-mcp-server", "vendor": "Various", "tagline": "MCP Server for Agent Skill Ninja - Search, Install, and Manage Agent Skills", "description": "This MCP server provides a standardized interface for searching, installing, and managing agent skills within the Agent Skill Ninja ecosystem. It accepts MCP requests to perform lifecycle operations on skills and returns results in a structured format. The project is written in TypeScript and is available as an open-source repository.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-compatible agents that need programmatic control over Agent Skill Ninja skills", "useCases": [ "Searching for agent skills by name or metadata", "Installing a selected skill into an agent's runtime", "Listing and removing previously installed skills" ], "pros": [ "Dedicated MCP server for a focused skill management workflow", "TypeScript codebase offers type safety for integration", "Open source allows inspection and customization" ], "cons": [ "Small community (11 stars) suggests limited adoption and support", "Tied to the Agent Skill Ninja platform, which may have a narrow user base", "No evidence of extensive documentation or testing coverage" ], "tags": [], "featured": false, "tier": "curated", "stars": 11, "language": [ "TypeScript" ], "lastUpdated": "2026-05-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/aktsmm/skill-ninja-mcp-server", "relations": { "works_in": [ "cline", "cursor", "continue" ], "uses": [], "built_with": [], "pairs_with": [ "cline", "cursor", "continue" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/aktsmm-skill-ninja-mcp-server" }, { "slug": "alanpcf-brasil-data-mcp", "name": "alanpcf/brasil-data-mcp", "vendor": "Various", "tagline": "MCP server providing access to Brazilian public data (CNPJ, CEP, banks, holidays) via BrasilAPI. For Claude Desktop, Claude Code, Cursor and other MCP-compatible clients.", "description": "An MCP server that exposes Brazilian public data (CNPJ, CEP, banks, holidays) via the BrasilAPI. It works with MCP-compatible clients such as Claude Desktop, Claude Code, and Cursor. Built in TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants or tools that need to answer queries about Brazilian companies, addresses, or holidays", "useCases": [ "Look up CNPJ numbers for Brazilian companies", "Validate and retrieve address details from CEP codes", "Get a list of Brazilian holidays for a given year" ], "pros": [ "Provides access to official Brazilian public data through a standardized protocol", "Easy to integrate with popular MCP-compatible AI clients", "Leverages the reliable BrasilAPI as its data source" ], "cons": [ "Limited to Brazilian public data, not useful for other regions", "Low star count suggests small community and potential maintenance risks", "Requires an MCP-compatible client to function" ], "tags": [ "ai-tools", "brasil", "brasilapi", "claude", "cnpj", "mcp", "model-context-protocol", "typescript" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/alanpcf/brasil-data-mcp", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/alanpcf-brasil-data-mcp" }, { "slug": "alberthild-shieldapi-mcp", "name": "alberthild/shieldapi-mcp", "vendor": "Various", "tagline": "MCP server for ShieldAPI — URL scanning, breach detection, domain/IP reputation as AI agent tools. Pay-per-request via x402.", "description": "A Model Context Protocol server that exposes ShieldAPI's URL scanning, breach detection, and domain/IP reputation checks as tools for AI agents. Requests are billed per call through the x402 payment protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need on-demand threat intelligence without a subscription.", "useCases": [ "Scan URLs for phishing or malware before an agent processes them", "Check if an email or domain appears in known data breaches", "Assess domain or IP reputation as part of a security workflow" ], "pros": [ "Integrates security checks directly into agent toolchains via MCP", "Pay-per-request model avoids monthly commitments for low-volume use", "Covers multiple threat intelligence endpoints in one server" ], "cons": [ "Requires a ShieldAPI account and x402 payment setup", "No stars or community activity yet, limited track record", "JavaScript only, no prebuilt binaries or Docker image provided" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/alberthild/shieldapi-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/alberthild-shieldapi-mcp" }, { "slug": "albertnahas-icogenie-mcp", "name": "albertnahas/icogenie-mcp", "vendor": "Various", "tagline": "MCP server for IcoGenie - Enable AI agents to generate SVG icons programmatically", "description": "An MCP server that lets AI agents generate SVG icons programmatically through IcoGenie. Built in TypeScript, it provides a standardized interface for icon creation within agent workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to generate SVG icons on the fly", "useCases": [ "Generate SVG icons on demand for web or mobile applications", "Create consistent icon sets programmatically for design systems", "Automate icon design tasks inside AI agent pipelines" ], "pros": [ "Enables AI agents to produce icons without manual design", "Simple integration via the Model Context Protocol", "Written in TypeScript for type safety and developer familiarity" ], "cons": [ "Low star count (4) indicates early-stage or limited adoption", "Depends on the IcoGenie service for actual icon generation", "May offer fewer customization options than dedicated icon tools" ], "tags": [ "ai", "anthropic", "claude", "icogenie", "icon-generation", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/albertnahas/icogenie-mcp", "relations": { "works_in": [ "cline", "cursor", "continue" ], "uses": [], "built_with": [], "pairs_with": [ "glips-figma-context-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/albertnahas-icogenie-mcp" }, { "slug": "alchemy-alchemy-mcp-server", "name": "alchemy/alchemy-mcp-server", "vendor": "Various", "tagline": "Alchemy's official MCP Server. Allow AI agents to interact with Alchemy's blockchain APIs.", "description": "A Model Context Protocol server that allows AI agents to call Alchemy’s blockchain APIs. Built in TypeScript, it exposes endpoints for querying on-chain data and sending transactions through the standard MCP interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to query or write to blockchain networks using natural language", "useCases": [ "Querying Ethereum balances and transaction history from an AI agent", "Triggering smart contract reads via natural language prompts", "Monitoring blockchain events through conversational interfaces" ], "pros": [ "Direct access to Alchemy’s reliable blockchain infrastructure", "Standard MCP protocol for compatibility with Claude, Copilot, and other MCP clients", "Open-source TypeScript codebase easy to extend" ], "cons": [ "Requires an Alchemy API key and paid plan for production use", "Limited to Alchemy-supported chains (Ethereum, Polygon, etc.)", "Relatively small community (86 stars) – less tested than core Alchemy SDKs" ], "tags": [], "featured": false, "tier": "curated", "stars": 86, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/alchemyplatform/alchemy-mcp-server", "relations": { "works_in": [ "cursor", "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/alchemy-alchemy-mcp-server" }, { "slug": "alcylu-nightlife-mcp", "name": "alcylu/nightlife-mcp", "vendor": "Various", "tagline": "The first nightlife discovery MCP server. Search events, venues, and performers in Tokyo and beyond.", "description": "An MCP server for nightlife discovery written in TypeScript. It enables searching events, venues, and performers with an initial focus on Tokyo and additional locations. As a Model Context Protocol server, it integrates directly into AI agents to provide real-time nightlife data.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need nightlife information for Tokyo", "useCases": [ "Adding nightlife search capability to AI assistants", "Building location-aware event recommendation tools", "Integrating venue and performer data into MCP-compatible applications" ], "pros": [ "First dedicated nightlife MCP server available", "TypeScript implementation fits modern development stacks", "Covers both events and venues in one interface" ], "cons": [ "Low community adoption with only 1 star", "Geographic scope primarily Tokyo with unknown coverage elsewhere", "Reliability and data freshness not independently verified" ], "tags": [ "ai", "api", "events", "japan", "mcp", "mcp-server", "nightlife", "tokyo" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/alcylu/nightlife-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "exa-labs-exa-mcp-server", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/alcylu-nightlife-mcp" }, { "slug": "alekseimarchenko-central-intelligence", "name": "AlekseiMarchenko/central-intelligence", "vendor": "Various", "tagline": "Persistent memory for AI agents. Agents forget. CI remembers.", "description": "Central-intelligence is a persistent memory system for AI agents, implemented in TypeScript. It allows agents to store and recall information across sessions, addressing the common problem of agents forgetting context.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a basic, open-source persistent memory layer for AI agents without heavy dependencies", "useCases": [ "Maintaining chat history for conversational AI", "Enabling autonomous agents to persist state across tasks", "Providing long-term memory for multi-turn interactions" ], "pros": [ "Directly solves the agent forgetting problem with persistent memory", "Lightweight TypeScript implementation suitable for many environments", "Open source with a focused scope" ], "cons": [ "Very early stage with only 1 star, indicating limited community validation", "May lack advanced features like memory summarization or retrieval-augmented generation", "Single developer project with potentially sparse documentation" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-05-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/AlekseiMarchenko/central-intelligence", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "topoteretes-cognee", "vectorize-io-hindsight", "upstash-context7" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/alekseimarchenko-central-intelligence" }, { "slug": "aletaindex-aletaindex-fin-narratives", "name": "AletaIndex/aletaindex-fin-narratives", "vendor": "Various", "tagline": "Financial narrative intelligence for AI agents — real-time narrative tracking, sentiment, and insights for US equities via MCP or REST API.", "description": "AletaIndex/aletaindex-fin-narratives provides financial narrative intelligence for AI agents. It tracks real-time narratives, sentiment, and insights for US equities through MCP or REST API. The Python codebase enables developers to integrate narrative data into agent workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need real-time narrative intelligence for US equity markets", "useCases": [ "Build a financial news sentiment agent for US stocks", "Integrate narrative tracking into investment research workflows", "Create an AI agent that monitors market narratives in real time" ], "pros": [ "Offers structured financial narrative data via standard API protocols (MCP and REST)", "Provides real-time sentiment analysis for US equities", "Open-source Python codebase allows customization" ], "cons": [ "Low community adoption (1 star on GitHub) indicates limited testing or support", "Only covers US equities, not global markets", "Requires integration effort to use as part of a larger AI agent system" ], "tags": [ "ai-agents", "financial-intelligence", "mcp", "narrative-intelligence", "stock-sentiment-analysis", "topic-modeling" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/AletaIndex/aletaindex-fin-narratives", "relations": { "works_in": [ "cline", "continue", "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/aletaindex-aletaindex-fin-narratives" }, { "slug": "alex-gon-thegamecrafter-mcp-server", "name": "alex-gon/thegamecrafter-mcp-server", "vendor": "Various", "tagline": "MCP server for The Game Crafter API — design, manage, and price tabletop games through Claude", "description": "An MCP server that wraps The Game Crafter API, allowing Claude to design, manage, and price tabletop games. It uses TypeScript and communicates via the Model Context Protocol to enable game creation workflows through natural language.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Tabletop game designers who want to prototype and manage games using Claude", "useCases": [ "Designing and pricing custom tabletop game components", "Managing game projects and inventory through Claude", "Automating game design tasks via API integration" ], "pros": [ "Enables game design directly through conversational AI", "Leverages The Game Crafter's existing API for real-world production", "TypeScript codebase is accessible to many developers" ], "cons": [ "No community adoption or stars yet, indicating early stage", "Dependent on The Game Crafter API's availability and rate limits", "Limited to the features exposed by the underlying API" ], "tags": [ "boardgames", "mcp", "mcp-server", "tabletop", "thegamecrafter" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/alex-gon/thegamecrafter-mcp-server", "relations": { "works_in": [ "anthropic-computer-use" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/alex-gon-thegamecrafter-mcp-server" }, { "slug": "alexanderclapp-clirank-mcp-server", "name": "alexanderclapp/clirank-mcp-server", "vendor": "Various", "tagline": "MCP server for CLIRank - search, compare, and get docs for 420+ APIs ranked by AI-agent friendliness", "description": "An MCP server that wraps the CLIRank API, enabling search, comparison, and documentation retrieval for over 420 APIs ranked by their suitability for AI agents. It exposes these capabilities through the Model Context Protocol for integration with AI assistants and agent frameworks.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents who need a quick way to find and evaluate APIs that work well with automated agents", "useCases": [ "Discovering APIs that are optimized for AI agent integration", "Comparing multiple APIs side-by-side for agent-friendly features", "Fetching documentation for a specific API directly from an AI assistant" ], "pros": [ "Provides a curated, ranked list of APIs specifically evaluated for AI agent use", "Integrates via the standard MCP protocol, making it compatible with many AI tools", "Covers a large set of 420+ APIs for broad discovery" ], "cons": [ "Zero stars and no community traction, indicating limited testing or adoption", "Depends on the external CLIRank service, which may change or become unavailable", "No version history or release notes visible, raising concerns about maintenance" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/alexanderclapp/clirank-mcp-server", "relations": { "works_in": [ "cline", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/alexanderclapp-clirank-mcp-server" }, { "slug": "alexanderlawson17-revettr-python", "name": "AlexanderLawson17/revettr-python", "vendor": "Various", "tagline": "Python client SDK for Revettr counterparty risk scoring API", "description": "A Python client SDK for the Revettr counterparty risk scoring API. It wraps API endpoints to allow developers to programmatically assess the risk of business partners. The SDK is open source and designed for straightforward integration into Python projects.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Python developers needing to integrate Revettr counterparty risk scoring into their applications.", "useCases": [ "Integrate counterparty risk scoring into Python applications", "Automate due diligence checks on business partners", "Query Revettr API for risk scores programmatically" ], "pros": [ "Simplifies access to Revettr's counterparty risk scoring API", "Written in Python for easy integration into Python projects", "Open source allows code review and modification" ], "cons": [ "Low community adoption (1 star) may indicate limited testing or support", "Documentation may be sparse", "Dependent on Revettr API availability and changes" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/AlexanderLawson17/revettr-python", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/alexanderlawson17-revettr-python" }, { "slug": "alexanderzuev-supabase-mcp-server", "name": "alexanderzuev/supabase-mcp-server", "vendor": "Various", "tagline": "Query MCP enables end-to-end management of Supabase via chat interface: read & write query executions, management API support, automatic migration versioning, access to logs and mu", "description": "Query MCP enables end-to-end management of Supabase via a chat interface. It supports read and write query executions, management API operations, automatic migration versioning, and access to logs. The tool is built in Python and has 825 GitHub stars.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to manage Supabase projects and databases through conversational interfaces", "useCases": [ "Execute SQL queries against Supabase databases from a chat interface", "Manage Supabase projects and resources via the management API", "Track and version database migrations automatically" ], "pros": [ "Covers both query execution and management API in one tool", "Automatic migration versioning reduces manual overhead", "Open source with active community (825 stars)" ], "cons": [ "Requires a chat interface setup, not a standalone CLI", "Limited to Supabase ecosystem, not general-purpose database tool", "Python dependency may not suit all environments" ], "tags": [ "cursor", "model-context-protocol", "supabase", "windsurf" ], "featured": false, "tier": "curated", "stars": 825, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-05-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/alexander-zuev/supabase-mcp-server", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/alexanderzuev-supabase-mcp-server" }, { "slug": "alexbakers-mcp-ipfs", "name": "alexbakers/mcp-ipfs", "vendor": "Various", "tagline": "🪐 MCP IPFS Server", "description": "A Model Context Protocol (MCP) server that enables AI agents to interact with the InterPlanetary File System (IPFS). It allows storing and retrieving content from IPFS through the standard MCP interface. Built in TypeScript, it provides a lightweight bridge between AI tools and decentralized storage.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need decentralized file storage via IPFS", "useCases": [ "Integrating IPFS storage into AI agent workflows", "Storing generated content or data from AI models on IPFS", "Retrieving files from IPFS for use by AI assistants" ], "pros": [ "Open source and free to use", "Written in TypeScript for type safety and maintainability", "Implements the standard MCP protocol for easy integration" ], "cons": [ "Low community adoption with only 17 stars", "Limited documentation and examples available", "Requires a running IPFS node or gateway to function" ], "tags": [ "ai", "decentralized", "ipfs", "mcp", "mcp-server", "model-context-protocol", "model-context-protocol-servers", "storage" ], "featured": false, "tier": "curated", "stars": 17, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-04-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/alexbakers/mcp-ipfs", "relations": { "works_in": [ "cline", "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/alexbakers-mcp-ipfs" }, { "slug": "alexei-led-aws-mcp-server", "name": "alexei-led/aws-mcp-server", "vendor": "Various", "tagline": "A lightweight service that enables AI assistants to execute AWS CLI commands (in safe containerized environment) through the Model Context Protocol (MCP). Bridges Claude, Cursor, a", "description": "A lightweight Python service that lets AI assistants run AWS CLI commands inside a safe containerized environment via the Model Context Protocol (MCP). It connects MCP-aware tools like Claude and Cursor to AWS CLI for cloud infrastructure management.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to control AWS infrastructure from AI assistants like Claude or Cursor", "useCases": [ "Manage AWS resources from an AI chat interface", "Automate routine cloud operations with natural language prompts", "Inspect and debug AWS infrastructure without leaving the editor" ], "pros": [ "Runs AWS CLI commands in an isolated container for safety", "Works with multiple MCP-compatible AI assistants", "Lightweight and easy to set up" ], "cons": [ "Requires MCP-aware tools, limiting direct use", "Containerized execution may add latency for simple commands", "Depends on AWS CLI configuration and credentials" ], "tags": [ "ai-assistant", "aws", "aws-automation", "claude", "cloud-infrastructure", "devops", "docker", "mcp" ], "featured": false, "tier": "curated", "stars": 182, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-02-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/alexei-led/aws-mcp-server", "relations": { "works_in": [ "cursor", "claude-code", "cline" ], "uses": [ "docker" ], "built_with": [], "pairs_with": [], "alternative_to": [ "awslabs-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/alexei-led-aws-mcp-server" }, { "slug": "alexey-pelykh-lhremote", "name": "alexey-pelykh/lhremote", "vendor": "Various", "tagline": "CLI and MCP server for LinkedHelper automation — let AI assistants control LinkedIn outreach", "description": "lhremote provides a command-line interface and Model Context Protocol (MCP) server for controlling LinkedHelper, a LinkedIn automation tool. It enables AI assistants to programmatically manage LinkedIn outreach tasks such as sending connection requests and messages. The tool is built in TypeScript and is open source.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to automate LinkedIn outreach", "useCases": [ "Automate LinkedIn outreach sequences via AI assistants", "Programmatically send connection requests and follow-up messages", "Integrate LinkedIn automation into MCP-compatible tools" ], "pros": [ "Enables AI-driven control of LinkedIn automation", "Open source with minimal dependencies", "Uses standard MCP protocol for interoperability" ], "cons": [ "Very low community adoption (7 GitHub stars)", "Requires LinkedHelper to function", "Limited documentation and support" ], "tags": [ "ai-automation", "claude", "cli", "linkedhelper", "linkedin-automation", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 7, "language": [ "TypeScript" ], "license": "AGPL-3.0", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/alexey-pelykh/lhremote", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "lharries-whatsapp-mcp", "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/alexey-pelykh-lhremote" }, { "slug": "alexfleetcommander-agent-trust-stack-mcp", "name": "alexfleetcommander/agent-trust-stack-mcp", "vendor": "Various", "tagline": "MCP server for Agent Trust Stack — cryptographic provenance and reputation scoring for autonomous AI agents. Install: pip install agent-trust-stack-mcp", "description": "An MCP server that implements cryptographic provenance and reputation scoring for autonomous AI agents. It can be installed via pip and provides a trust layer for multi-agent interactions in development environments.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building multi-agent systems that require cryptographic trust and reputation tracking", "useCases": [ "Tracking cryptographic provenance of agent actions", "Scoring agent reputation based on historical behavior", "Enforcing trust policies in multi-agent systems" ], "pros": [ "Provides verifiable cryptographic provenance for agent actions", "Enables reputation-based trust decisions without external authorities", "Open-source Python implementation with pip installation" ], "cons": [ "Repository has zero stars, indicating very early or unproven status", "Limited documentation beyond the basic installation command", "Dependency on Python ecosystem may restrict deployment environments" ], "tags": [ "agent-trust-stack", "ai-agents", "autonomous-agents", "chain-of-consciousness", "mcp", "mcp-server", "model-context-protocol", "provenance" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-04-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/alexfleetcommander/agent-trust-stack-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/alexfleetcommander-agent-trust-stack-mcp" }, { "slug": "alexpota-cloudscope-mcp", "name": "alexpota/cloudscope-mcp", "vendor": "Various", "tagline": "Multi-cloud cost management MCP server (Azure + GCP). Read-only access to spending, anomalies, forecasts, budgets, and guided FinOps workflows. Ask your AI about your cloud bill.", "description": "CloudScope is an MCP server that provides read-only access to multi-cloud cost data from Azure and GCP. It enables AI assistants to query spending, anomalies, forecasts, budgets, and guided FinOps workflows. Built in TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want AI-assisted read-only cost monitoring across Azure and GCP", "useCases": [ "Query current cloud spending across Azure and GCP from an AI assistant", "Detect cost anomalies and generate forecasts through natural language", "Run guided FinOps workflows without write access to cloud resources" ], "pros": [ "Read-only design prevents accidental cost changes or resource modifications", "Covers both Azure and GCP in a single server", "Integrates with any MCP-compatible AI client" ], "cons": [ "No support for AWS cloud cost data", "Zero stars on GitHub suggests limited community validation or early stage", "Requires manual setup of cloud credentials and MCP client configuration" ], "tags": [ "anomaly-detection", "azure", "azure-advisor", "bigquery", "budget-monitoring", "claude", "claude-code", "cloud-billing" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/alexpota/cloudscope-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/alexpota-cloudscope-mcp" }, { "slug": "alfonsograziano-node-code-sandbox-mcp", "name": "alfonsograziano/node-code-sandbox-mcp", "vendor": "Various", "tagline": "A Node.js–based Model Context Protocol server that spins up disposable Docker containers to execute arbitrary JavaScript.", "description": "A Node.js-based Model Context Protocol server that creates disposable Docker containers to execute arbitrary JavaScript code. It provides a sandboxed environment for running untrusted scripts without persistent side effects.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-powered code execution or sandboxing tools that need a lightweight, containerized JavaScript runtime", "useCases": [ "Run user-submitted JavaScript snippets safely in an AI assistant workflow", "Test JavaScript code in isolation during development or debugging sessions", "Execute dynamic code from external sources without affecting the host system" ], "pros": [ "Disposable containers ensure clean state after each execution", "Simple MCP interface integrates easily with AI tools and assistants", "Lightweight and focused on JavaScript execution" ], "cons": [ "Requires Docker to be installed and running on the host", "Only supports JavaScript code execution, no other languages", "Network access and resource limits depend on container configuration" ], "tags": [], "featured": false, "tier": "curated", "stars": 153, "language": [ "TypeScript" ], "lastUpdated": "2025-11-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/alfonsograziano/node-code-sandbox-mcp", "relations": { "works_in": [ "cursor", "claude-code", "cline", "continue" ], "uses": [ "docker" ], "built_with": [], "pairs_with": [], "alternative_to": [ "pydantic-pydantic-ai-mcp-run-python" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/alfonsograziano-node-code-sandbox-mcp" }, { "slug": "aliafsahnoudeh-shahnameh-mcp-server", "name": "aliafsahnoudeh/shahnameh-mcp-server", "vendor": "Various", "tagline": "ام سی پی سرور برای شاهنامه", "description": "An MCP (Model Context Protocol) server for the Persian epic Shahnameh, written in Python. It provides structured access to the text of the Shahnameh for use with AI models that support the MCP protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers working with Persian literature or building AI applications that need to reference the Shahnameh", "useCases": [ "Integrating Shahnameh text into AI chat or retrieval workflows", "Building educational tools that reference Persian epic poetry", "Enabling AI models to query specific verses or stories from the Shahnameh" ], "pros": [ "Open source and simple Python implementation", "Provides structured access to a culturally significant text", "Follows the MCP standard for interoperability with AI tools" ], "cons": [ "Low star count suggests limited community adoption or maintenance", "Documentation is only in Persian, limiting accessibility", "Niche use case may not justify setup for general developers" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "Python" ], "lastUpdated": "2025-09-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/aliafsahnoudeh/shahnameh-mcp-server", "relations": { "works_in": [ "claude-code", "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/aliafsahnoudeh-shahnameh-mcp-server" }, { "slug": "aliafsahnoudeh-wildfire-mcp-server", "name": "aliafsahnoudeh/wildfire-mcp-server", "vendor": "Various", "tagline": "🐍 ☁️ 🍎 🪟 🐧 - MCP server for detecting, monitoring, and analyzing potential wildfires globally using multiple data sources including NASA FIRMS, OpenWeatherMap, and Google Earth", "description": "An MCP server for detecting, monitoring, and analyzing potential wildfires globally. It aggregates data from NASA FIRMS, OpenWeatherMap, and Google Earth to provide real-time fire information.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building wildfire monitoring or alerting systems", "useCases": [ "Monitor active wildfires in a specific geographic area", "Analyze historical fire data using NASA FIRMS", "Integrate wildfire alerts into developer workflows" ], "pros": [ "Aggregates multiple authoritative data sources", "Open source Python implementation", "Enables automated wildfire monitoring in applications" ], "cons": [ "No stars or community traction yet", "Requires separate API keys for each data source", "Limited documentation beyond the repository description" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "lastUpdated": "2025-12-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/aliafsahnoudeh/wildfire-mcp-server", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/aliafsahnoudeh-wildfire-mcp-server" }, { "slug": "alibaizhanov-mengram", "name": "alibaizhanov/mengram", "vendor": "Various", "tagline": "Human-like memory for AI agents — semantic, episodic & procedural. Experience-driven procedures that learn from failures. Free API, Python & JS SDKs, LangChain, CrewAI & OpenClaw i", "description": "Mengram is an open-source memory layer for AI agents that implements semantic, episodic, and procedural memory. It learns from failures to refine agent behavior over time and offers a free API with Python and JavaScript SDKs, plus integrations with LangChain, CrewAI, and OpenClaw.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building memory-enhanced AI agents who want a free, multi-memory solution with framework integrations", "useCases": [ "Give AI agents persistent memory across conversations and sessions", "Enable agents to learn from past mistakes and improve procedures automatically", "Augment agentic frameworks like LangChain and CrewAI with structured memory" ], "pros": [ "Free API and open-source code reduce cost and vendor lock-in", "Covers multiple memory types (semantic, episodic, procedural) in one library", "Integrates with popular agent frameworks out of the box" ], "cons": [ "Small project with 172 stars may have limited community support", "Dependency on Python and JS SDKs restricts non-Python/JS stacks", "Procedural memory learning from failures is experimental and not battle-tested at scale" ], "tags": [ "agent-memory", "ai-agents", "ai-memory", "claude-desktop", "cognitive-architecture", "cohere", "cursor-ai", "episodic-memory" ], "featured": false, "tier": "curated", "stars": 172, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/alibaizhanov/mengram", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "topoteretes-cognee" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/alibaizhanov-mengram" }, { "slug": "aliceljy-recallnest", "name": "AliceLJY/recallnest", "vendor": "Various", "tagline": "One memory, three terminals. Shared memory layer for Claude Code, Codex, and Gemini CLI — hybrid retrieval (vector + BM25 + KG), session continuity, 41 MCP tools. Local-first, Lanc", "description": "A shared memory layer for Claude Code, Codex, and Gemini CLI. It provides hybrid retrieval using vector, BM25, and knowledge graph methods, with session continuity and 41 MCP tools. The tool is local-first and stores data in LanceDB.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using multiple AI CLI tools who need a unified, local memory layer for session continuity", "useCases": [ "Persisting and retrieving conversation context across Claude Code, Codex, and Gemini CLI sessions", "Enabling hybrid search (vector, BM25, knowledge graph) over previous interactions", "Accessing 41 MCP tools to extend CLI capabilities with shared memory" ], "pros": [ "Local-first architecture ensures data privacy and offline capability", "Hybrid retrieval combines multiple search strategies for better results", "Provides session continuity across three popular AI CLI tools" ], "cons": [ "Limited to Claude Code, Codex, and Gemini CLI (no support for other CLIs)", "Small community size (14 stars) may mean less ongoing development and support", "Requires setting up and maintaining a LanceDB instance locally" ], "tags": [ "ai-agent", "ai-memory", "claude-code", "codex", "gemini", "hybrid-retrieval", "knowledge-graph", "knowledge-retrieval" ], "featured": false, "tier": "curated", "stars": 14, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/AliceLJY/recallnest", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "topoteretes-cognee", "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/aliceljy-recallnest" }, { "slug": "alikarami-mikromcp", "name": "AliKarami/MikroMCP", "vendor": "Various", "tagline": "Production-grade MCP server for MikroTik RouterOS with secure AI-native network automation.", "description": "A TypeScript-based MCP (Model Context Protocol) server that provides a secure interface for AI agents to automate MikroTik RouterOS devices. It enables network engineers to manage router configurations and execute commands through natural language or programmatic AI interactions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Network engineers and administrators using MikroTik hardware who want to automate management with AI agents", "useCases": [ "Automating router configurations and firewall rules via AI assistants", "Monitoring network device status and logs through natural language queries", "Executing RouterOS commands and scripts from MCP-compatible AI tools" ], "pros": [ "Production-grade implementation with security focus for network automation", "Written in TypeScript for type safety and maintainability", "Direct integration with MCP ecosystem for AI-driven workflows" ], "cons": [ "Small community (28 stars) limits support and resources", "Only supports MikroTik RouterOS, not general network devices", "Requires understanding of both AI agent frameworks and RouterOS" ], "tags": [ "agentic-ai", "ai-agents", "anthropic", "claude", "cursor-ai", "devops", "homelab", "infrastructure" ], "featured": false, "tier": "curated", "stars": 28, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/AliKarami/MikroMCP", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "executeautomation-playwright-mcp-server", "wonderwhy-er-desktopcommandermcp", "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/alikarami-mikromcp" }, { "slug": "alilxxey-openobserve-community-mcp", "name": "alilxxey/openobserve-community-mcp", "vendor": "Various", "tagline": "alilxxey/openobserve-community-mcp — indexed from awesome-mcp-servers-punkpeye", "description": "A community-built MCP server that connects AI assistants to OpenObserve, an observability platform. It enables querying logs, metrics, and traces through the Model Context Protocol. Written in Python, it is indexed from the awesome-mcp-servers list.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using OpenObserve who want AI-assisted observability via MCP", "useCases": [ "Query OpenObserve logs and metrics via natural language", "Monitor system health and investigate incidents with AI assistance", "Integrate observability data into AI-driven workflows" ], "pros": [ "Open source and community-driven", "Python-based, easy to extend or modify", "Leverages MCP for standardized AI tool integration" ], "cons": [ "Low star count (10) suggests limited community adoption", "May lack comprehensive documentation or stability", "Dependent on OpenObserve instance availability and configuration" ], "tags": [], "featured": false, "tier": "curated", "stars": 10, "language": [ "Python" ], "license": "GPL-3.0", "lastUpdated": "2026-03-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/alilxxey/openobserve-community-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "netdata-netdata-netdata" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/alilxxey-openobserve-community-mcp" }, { "slug": "alimo7amed93-webhook-tester-mcp", "name": "alimo7amed93/webhook-tester-mcp", "vendor": "Various", "tagline": "FastMCP server for managing and testing webhooks via webhook-test.com API", "description": "A FastMCP server that wraps the webhook-test.com API to let you create, inspect, and delete webhook endpoints from within an MCP-compatible client. It sends test payloads and retrieves captured requests without leaving your development environment.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to quickly test webhook callbacks from within an MCP-compatible IDE or agent", "useCases": [ "Create temporary webhook endpoints to test outgoing payloads from your app", "Inspect captured HTTP requests and headers during integration testing", "Delete webhook endpoints after verifying callback behavior" ], "pros": [ "Tight integration with MCP clients for in-editor webhook debugging", "Lightweight Python server with minimal setup", "Direct access to webhook-test.com's free testing infrastructure" ], "cons": [ "Depends on an external service (webhook-test.com) which may have uptime or rate limits", "Limited to the features exposed by the webhook-test.com API", "Small community (8 stars) and potentially slower maintenance" ], "tags": [], "featured": false, "tier": "curated", "stars": 8, "language": [ "Python" ], "lastUpdated": "2025-04-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/alimo7amed93/webhook-tester-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/alimo7amed93-webhook-tester-mcp" }, { "slug": "alimuratkuslu-byok-observability-mcp", "name": "alimuratkuslu/byok-observability-mcp", "vendor": "Various", "tagline": "alimuratkuslu/byok-observability-mcp — indexed from awesome-mcp-servers-punkpeye", "description": "alimuratkuslu/byok-observability-mcp is a TypeScript MCP server for observability. It enables integration of observability data into AI workflows using the Model Context Protocol. The project is early-stage with minimal community adoption.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers prototyping observability integrations in MCP-based AI tools", "useCases": [ "Query observability metrics through MCP-based assistants", "Integrate custom observability data into AI agent pipelines", "Experiment with bring-your-own-key observability setups" ], "pros": [ "Lightweight TypeScript implementation", "Follows the emerging MCP standard for extensibility", "Easy to modify for custom observability sources" ], "cons": [ "Very low stars (2) indicating limited testing and community support", "No documentation or usage examples provided in the facts", "Likely unstable or incomplete for production use" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/alimuratkuslu/byok-observability-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "netdata-netdata-netdata" ], "alternative_to": [ "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/alimuratkuslu-byok-observability-mcp" }, { "slug": "aliyun-alibaba-cloud-ops-mcp-server", "name": "aliyun/alibaba-cloud-ops-mcp-server", "vendor": "Various", "tagline": "AlibabaCloud CloudOps MCP Server", "description": "An MCP server that exposes Alibaba Cloud operations through the Model Context Protocol, enabling AI agents to manage cloud resources via a standardized interface. It translates natural language or tool calls into Alibaba Cloud API actions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to manage Alibaba Cloud resources programmatically", "useCases": [ "Automating cloud resource provisioning and scaling with AI assistants", "Integrating Alibaba Cloud management into AI-powered workflows", "Querying cloud infrastructure status using natural language" ], "pros": [ "Adheres to the MCP standard for broad compatibility with AI clients", "Written in Python, making it easy to extend or customize", "Provides a unified interface to Alibaba Cloud APIs" ], "cons": [ "Limited to the Alibaba Cloud ecosystem, not multi-cloud", "Low community adoption (118 stars) may mean fewer examples or support", "Requires familiarity with both MCP and Alibaba Cloud APIs" ], "tags": [ "alibabacloud", "cloudops", "llm", "mcp" ], "featured": false, "tier": "curated", "stars": 118, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-03-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/aliyun/alibaba-cloud-ops-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/aliyun-alibaba-cloud-ops-mcp-server" }, { "slug": "aliyun-alibabacloud-tablestore-mcp-server", "name": "aliyun/alibabacloud-tablestore-mcp-server", "vendor": "Various", "tagline": "☕ 🐍 ☁️ - MCP service for Tablestore, features include adding documents, semantic search for documents based on vectors and scalars, RAG-friendly, and serverless.", "description": "This tool provides a Model Context Protocol (MCP) server for Alibaba Cloud Tablestore, a serverless NoSQL database. It supports adding documents and performing semantic search using both vector and scalar queries, enabling RAG workflows. The server is implemented in Java.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents with RAG on Alibaba Cloud Tablestore", "useCases": [ "Adding documents to Tablestore for retrieval", "Performing semantic search on stored documents with vector and scalar filters", "Building a RAG application with serverless storage" ], "pros": [ "Serverless scaling reduces operational overhead", "Combines vector and scalar search in a single service", "Integrates with the MCP ecosystem for agent tool calling" ], "cons": [ "Tied to the Alibaba Cloud ecosystem", "Java implementation may limit deployment in non-JVM environments", "Relatively few stars (156) suggests a niche adoption" ], "tags": [], "featured": false, "tier": "curated", "stars": 156, "language": [ "Java" ], "license": "Apache-2.0", "lastUpdated": "2026-03-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/aliyun/alibabacloud-tablestore-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "vectorize-io-hindsight" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/aliyun-alibabacloud-tablestore-mcp-server" }, { "slug": "allenporter-mcp-server-home-assistant", "name": "allenporter/mcp-server-home-assistant", "vendor": "Various", "tagline": "A Model Context Protocol Server for Home Assistant", "description": "This is a Model Context Protocol (MCP) server for Home Assistant. It implements the MCP standard to expose Home Assistant entities and services, allowing AI agents to query and control home automation devices. Built in Python, it acts as a bridge between MCP-compatible clients and the Home Assistant API.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or assistants that need to interact with Home Assistant devices and automations.", "useCases": [ "Enabling AI assistants to turn lights on/off or adjust thermostats.", "Querying sensor states (temperature, motion, etc.) from Home Assistant.", "Automating home routines triggered by AI-driven decisions." ], "pros": [ "Open source and written in Python, making it easy to extend or customize.", "Adheres to the Model Context Protocol, ensuring compatibility with any MCP client.", "Lightweight server that directly integrates with a local Home Assistant instance." ], "cons": [ "Small community size (67 stars) may mean limited support and fewer contributions.", "Requires a running Home Assistant instance and proper authentication setup.", "Dependent on the stability of the MCP specification and Home Assistant API changes." ], "tags": [ "home-assistant", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 67, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2025-03-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/allenporter/mcp-server-home-assistant", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/allenporter-mcp-server-home-assistant" }, { "slug": "alkemiai-alkemi-mcp", "name": "alkemiai/alkemi-mcp", "vendor": "Various", "tagline": "A STDIO Model Context Protocol Server that lets MCP Clients query databases using plain-english questions and query exposed API endpoints abstracting data products.", "description": "Alkemi MCP is a STDIO Model Context Protocol server that allows MCP clients to query databases using plain English questions. It also enables querying exposed API endpoints that abstract data products. The tool is implemented in JavaScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based applications who need natural language access to databases and data APIs", "useCases": [ "Query databases via natural language from MCP-enabled tools", "Access abstracted data products through API endpoints", "Integrate with MCP clients for conversational data exploration" ], "pros": [ "Leverages the open MCP standard for tool interoperability", "Supports plain-English question input, reducing SQL knowledge requirements", "JavaScript implementation works in Node.js environments" ], "cons": [ "Very low GitHub star count (3) indicates limited adoption and community", "Requires an MCP client and appropriate server setup to be useful", "Vendor listed as 'Various' suggests no single maintainer or support channel" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2025-10-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/alkemi-ai/alkemi-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/alkemiai-alkemi-mcp" }, { "slug": "alog-alog-mcp", "name": "Alog/alog-mcp", "vendor": "Various", "tagline": "Alog MCP Server - AI agent activity logger & monitor for Claude Code, Cursor, and other MCP clients", "description": "Alog MCP Server logs and monitors AI agent activity for MCP-compatible clients like Claude Code and Cursor. It captures agent actions and outputs for debugging and auditing purposes.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using MCP-based AI agents who need activity logging", "useCases": [ "Logging agent actions during development", "Monitoring AI agent behavior in real-time", "Auditing agent outputs for compliance or debugging" ], "pros": [ "Provides visibility into agent activity", "Works with multiple MCP clients", "Open source and customizable" ], "cons": [ "Limited community adoption (0 stars)", "Requires MCP client compatibility", "No built-in analytics or visualization" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-02-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/saikiyusuke/alog-mcp", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/alog-alog-mcp" }, { "slug": "alpadalar-netops-mcp", "name": "alpadalar/netops-mcp", "vendor": "Various", "tagline": "A comprehensive MCP server that provides access to essential DevOps and networking tools through a standardized interface.", "description": "A Python-based MCP server that exposes DevOps and networking tools through a standardized interface. It allows AI assistants to interact with network operations and system administration tasks via the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with MCP-based automation for networking and DevOps tasks", "useCases": [ "Integrating AI assistants with network monitoring and configuration tools", "Automating routine DevOps tasks through MCP-compatible clients", "Building custom workflows that combine multiple networking utilities" ], "pros": [ "Standardized MCP interface simplifies integration with AI tools", "Written in Python, making it accessible for customization", "Open source with a permissive license" ], "cons": [ "Very early stage with only 10 GitHub stars and limited community", "Documentation and tool coverage may be sparse", "Dependent on the broader MCP ecosystem for client support" ], "tags": [], "featured": false, "tier": "curated", "stars": 10, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/alpadalar/netops-mcp", "relations": { "works_in": [ "cline", "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [ "txn2-kubefwd" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/alpadalar-netops-mcp" }, { "slug": "alpic", "name": "Alpic", "vendor": "ai.alpic.mcp", "tagline": "Alpic: build, deploy, monitor and distribute your ChatGPT Apps and MCP servers", "description": "Alpic is a platform for building, deploying, monitoring, and distributing ChatGPT Apps and MCP servers. It provides tooling to manage the full lifecycle of these applications from development to distribution.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building and managing ChatGPT extensions or MCP-compatible services", "useCases": [ "Build and deploy ChatGPT plugins or custom apps", "Monitor performance and usage of MCP servers", "Distribute apps to end users or marketplaces" ], "pros": [ "Covers the full lifecycle from build to distribution", "Supports both ChatGPT Apps and MCP servers", "Includes monitoring capabilities for deployed services" ], "cons": [ "Limited to ChatGPT and MCP ecosystems", "Requires familiarity with the MCP protocol", "Newer platform with a smaller community" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://alpic.ai", "screenshotUrl": "https://framerusercontent.com/images/WZiXUn1MVLa0eLUmTzKrnFH9tUs.png", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/alpic" }, { "slug": "altinoren-utopia", "name": "altinoren/utopia", "vendor": "Various", "tagline": "An MCP Server that simulates a set of smart home and lifestyle devices, allowing you to interact with them through AI agents.", "description": "An MCP Server that simulates smart home and lifestyle devices. It allows AI agents to interact with these simulated devices via the Model Context Protocol. Built in C#.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers testing MCP-based AI agents in a smart home scenario", "useCases": [ "Testing AI agent responses to smart home commands", "Developing and debugging MCP-based automation", "Simulating device interactions without physical hardware" ], "pros": [ "Provides a controlled environment for agent testing", "Supports common smart home and lifestyle device simulations", "Open source and accessible on GitHub" ], "cons": [ "Limited to simulated devices, not real hardware", "Small community with only 10 stars", "Written in C# may limit integration with non-.NET ecosystems" ], "tags": [], "featured": false, "tier": "curated", "stars": 10, "language": [ "C#" ], "lastUpdated": "2025-06-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/altinoren/Utopia", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/altinoren-utopia" }, { "slug": "alvii147-piston-mcp", "name": "alvii147/piston-mcp", "vendor": "Various", "tagline": "MCP server that allows LLMs to connect to and execute code using Piston", "description": "This MCP server connects LLMs to the Piston code execution engine. It allows language models to run code snippets in various languages through the Model Context Protocol. The server is written in Python and provides a sandboxed execution environment.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building LLM tools that need safe code execution", "useCases": [ "Running code snippets from LLM conversations", "Testing code generation outputs in real time", "Providing LLMs with sandboxed code execution" ], "pros": [ "Leverages Piston's sandboxing for safe execution", "Simple integration with MCP-compatible clients", "Lightweight Python implementation" ], "cons": [ "Low community adoption with only 8 stars", "Limited to languages supported by Piston", "Requires running a separate server process" ], "tags": [ "llm", "mcp", "piston-api", "uv" ], "featured": false, "tier": "curated", "stars": 8, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-02-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/alvii147/piston-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "pydantic-pydantic-ai-mcp-run-python" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/alvii147-piston-mcp" }, { "slug": "amazon-bedrock-nova-canvas", "name": "Amazon Bedrock Nova Canvas", "vendor": "Various", "tagline": "Model Context Procotol(MCP) server for using Amazon Bedrock Nova Canvas to generate images", "description": "A Model Context Protocol (MCP) server that provides an interface to Amazon Bedrock Nova Canvas for image generation. It allows developers to integrate image generation into their applications by connecting to Amazon Bedrock's Nova Canvas model. The server is built with JavaScript and is open-source.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "JavaScript developers who want to add image generation to their projects using Amazon Bedrock", "useCases": [ "Generate images from text prompts in developer applications", "Integrate image generation into automated workflows and pipelines", "Build applications that require on-demand image creation via Amazon Bedrock" ], "pros": [ "Simple integration through the MCP protocol", "Leverages Amazon Bedrock's scalable and managed infrastructure", "Open-source JavaScript implementation" ], "cons": [ "Requires AWS credentials and Bedrock access", "Limited to the capabilities of Nova Canvas model", "Small community with few stars and contributors" ], "tags": [ "amazon-bedrock", "amazon-nova", "claude", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 24, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2025-05-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/zxkane/mcp-server-amazon-bedrock", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/amazon-bedrock-nova-canvas" }, { "slug": "ambar-simctl-mcp", "name": "ambar/simctl-mcp", "vendor": "Various", "tagline": "📇 🏠 🍎 A MCP server implementation for iOS Simulator control.", "description": "A Model Context Protocol (MCP) server for controlling iOS Simulator. It exposes simulator actions (like launching apps, triggering notifications, or changing device settings) as callable tools via the MCP standard.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "iOS developers who want to script or automate simulator tasks via MCP-enabled assistants", "useCases": [ "Automating iOS Simulator workflows from an MCP-compatible client", "Integrating simulator control into LLM-based developer assistants", "Programmatically launching and testing apps across multiple simulator configurations" ], "pros": [ "Open source with a permissive license", "Leverages the emerging MCP standard for tool interoperability", "Written in TypeScript, easy to extend or contribute to" ], "cons": [ "Only works on macOS (iOS Simulator requirement)", "Small community and limited stars (20) indicate early-stage project", "Scope is narrow to iOS Simulator, not a general-purpose automation tool" ], "tags": [], "featured": false, "tier": "curated", "stars": 20, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-08-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/ambar/simctl-mcp", "relations": { "works_in": [ "cline", "claude-code", "cursor", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ambar-simctl-mcp" }, { "slug": "amidabuddha-unichat-mcp-server", "name": "amidabuddha/unichat-mcp-server", "vendor": "Various", "tagline": "🐍/📇 ☁️ - Send requests to OpenAI, MistralAI, Anthropic, xAI, Google AI or DeepSeek using MCP protocol via tool or predefined prompts. Vendor API key required", "description": "This Python server implements the Model Context Protocol (MCP) to send requests to multiple AI vendors including OpenAI, MistralAI, Anthropic, xAI, Google AI and DeepSeek. It supports both tool-based and predefined prompt workflows. Each vendor requires its own API key.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based applications that need to access multiple AI models", "useCases": [ "Routing AI requests from a single MCP client to different providers", "Switching between AI models without modifying client code", "Using predefined prompts for consistent tasks across vendors" ], "pros": [ "Supports six major AI providers in one server", "Standard MCP protocol enables easy integration with MCP clients", "Written in Python, widely accessible to developers" ], "cons": [ "Requires separate API keys for each vendor", "Low GitHub star count (38) suggests limited community and testing", "May lack advanced features found in vendor-specific SDKs" ], "tags": [], "featured": false, "tier": "curated", "stars": 38, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/amidabuddha/unichat-mcp-server", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [ "litellm" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/amidabuddha-unichat-mcp-server" }, { "slug": "amineelkouhen-mcp-cockroachdb", "name": "amineelkouhen/mcp-cockroachdb", "vendor": "Various", "tagline": "The CockroachDB MCP Server is a natural language interface designed for agentic applications to manage, monitor and query data in CockroachDB.", "description": "The CockroachDB MCP Server provides a natural language interface for agentic applications to manage, monitor, and query data in CockroachDB. It translates natural language requests into database operations using the Model Context Protocol (MCP). This tool is implemented in Python and is open source.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to control and query a CockroachDB database", "useCases": [ "Execute natural language queries against CockroachDB", "Monitor database health and metrics through agent requests", "Manage database schemas and configurations via conversational commands" ], "pros": [ "Enables AI agents to interact with CockroachDB using natural language", "Open source and written in Python, easy to customize", "Leverages the MCP standard for interoperability with many agent frameworks" ], "cons": [ "Small community and limited adoption (10 stars on GitHub)", "May lack robust error handling or advanced query optimization", "Requires the MCP ecosystem and appropriate agent setup" ], "tags": [ "cockroachdb", "database", "generative-ai", "llm", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 10, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-01-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/amineelkouhen/mcp-cockroachdb", "relations": { "works_in": [ "cline", "continue", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/amineelkouhen-mcp-cockroachdb" }, { "slug": "ammawla-encode-toolkit", "name": "ammawla/encode-toolkit", "vendor": "Various", "tagline": "MCP server and Claude Plugin for a full ENCODE Project genomic data and analysis toolkit — search, download, track, and analyze functional genomics experiments", "description": "This tool provides an MCP server and Claude plugin for accessing the ENCODE Project genomic data. It allows users to search, download, track, and analyze functional genomics experiments programmatically. The toolkit is written in Python and integrates with Claude for natural language interactions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and bioinformaticians who need to query and retrieve ENCODE genomic data through Claude or programmatic interfaces", "useCases": [ "Search ENCODE functional genomics experiments by metadata", "Download genomic datasets directly into analysis pipelines", "Track experiment status and metadata through Claude chat" ], "pros": [ "Integrates with Claude for natural language queries", "Provides programmatic access to a large public genomic database", "Open source Python toolkit with straightforward setup" ], "cons": [ "Low star count indicates limited community adoption", "Documentation and examples may be sparse", "Only supports ENCODE data, not other genomic repositories" ], "tags": [ "ai", "ai-agents", "ai-bio", "bioinformatics", "bioinformatics-tool", "claude", "claude-code", "claude-code-mcp" ], "featured": false, "tier": "curated", "stars": 35, "language": [ "Python" ], "license": "AGPL-3.0", "lastUpdated": "2026-05-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/ammawla/encode-toolkit", "relations": { "works_in": [ "anthropic-computer-use" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ammawla-encode-toolkit" }, { "slug": "anaisbetts-mcp-installer", "name": "anaisbetts/mcp-installer", "vendor": "Various", "tagline": "An MCP server that installs other MCP servers for you", "description": "A JavaScript-based MCP server that automates the installation of other MCP servers. It handles fetching and setting up MCP servers, reducing manual configuration.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building or using MCP-based systems", "useCases": [ "Install multiple MCP servers with a single command", "Quickly set up a consistent MCP development environment", "Automate MCP server dependencies in CI/CD pipelines" ], "pros": [ "Reduces manual installation steps", "Handles dependency resolution", "Open-source with active community (1528 stars)" ], "cons": [ "Only works within the MCP ecosystem", "Requires network access to download servers", "May not support all MCP server configurations" ], "tags": [], "featured": false, "tier": "curated", "stars": 1528, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2024-11-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/anaisbetts/mcp-installer", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp", "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/anaisbetts-mcp-installer" }, { "slug": "anaisbetts-mcp-youtube", "name": "anaisbetts/mcp-youtube", "vendor": "Various", "tagline": "A Model-Context Protocol Server for YouTube", "description": "An open-source MCP server that exposes YouTube data to AI agents via the Model Context Protocol. It lets language models search videos, retrieve captions, and fetch channel information through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to search or transcribe YouTube content", "useCases": [ "Building an AI assistant that can search and summarize YouTube videos", "Extracting captions or metadata from YouTube channels programmatically", "Integrating YouTube content discovery into agentic workflows" ], "pros": [ "Simple, focused implementation in JavaScript with clear MCP integration", "Active community with over 500 stars indicating reliability", "Handles common YouTube data tasks without needing full API wrappers" ], "cons": [ "Limited to read-only operations (no uploads or comments)", "Requires a running MCP host to function, adding deployment overhead", "Dependent on YouTube's public API which may have rate limits" ], "tags": [], "featured": false, "tier": "curated", "stars": 525, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/anaisbetts/mcp-youtube", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "klavis-ai-youtube" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/anaisbetts-mcp-youtube" }, { "slug": "ananddtyagi-gif-creator-mcp", "name": "ananddtyagi/gif-creator-mcp", "vendor": "Various", "tagline": "MCP that allows you to take your video and turn it into a gif.", "description": "This MCP server converts video files into GIFs. It accepts a video input and outputs the corresponding animated GIF.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a straightforward GIF conversion tool integrated into an MCP pipeline", "useCases": [ "Quickly extract a GIF snippet from a longer video", "Automate GIF creation as part of a development workflow", "Generate lightweight previews from video assets" ], "pros": [ "Simple, focused purpose with minimal setup", "Lightweight JavaScript implementation", "Integrates with MCP-compatible tools for automation" ], "cons": [ "Limited to GIF output with no control over quality or compression", "No support for trimming or cropping video before conversion", "Small community and fewer usage examples" ], "tags": [], "featured": false, "tier": "curated", "stars": 16, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2025-06-09", "addedAt": "2026-06-01", "officialLink": "https://github.com/ananddtyagi/gif-creator-mcp/tree/main", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ananddtyagi-gif-creator-mcp" }, { "slug": "ananddtyagi-webpage-screenshot-mcp", "name": "ananddtyagi/webpage-screenshot-mcp", "vendor": "Various", "tagline": "An MCP that gives your agent the ability to snap a screenshot of webpages. Useful when you want your agent to check its progress during development.", "description": "An MCP (Model Context Protocol) server that lets an agent capture screenshots of webpages. It is useful for agents to visually inspect their own output or progress during development.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using MCP agents that need visual verification during web development", "useCases": [ "Debugging agent-generated web content by capturing screenshots", "Validating visual changes during automated development workflows", "Monitoring agent behavior on live preview pages" ], "pros": [ "Simple JavaScript implementation with minimal dependencies", "Provides visual feedback for agent-driven web tasks", "Easy to integrate into existing MCP-based agent setups" ], "cons": [ "Requires a browser environment to render and capture pages", "Limited to single screenshot capture without scrolling or interaction", "Not suitable for high-volume or production monitoring scenarios" ], "tags": [], "featured": false, "tier": "curated", "stars": 56, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2025-06-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/ananddtyagi/webpage-screenshot-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "browsermcp-mcp", "executeautomation-playwright-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ananddtyagi-webpage-screenshot-mcp" }, { "slug": "andrealufino-aapl-ads-mcp", "name": "andrealufino/aapl-ads-mcp", "vendor": "Various", "tagline": "MCP server for Apple Search Ads API v5 — read-only, self-hosted", "description": "A self-hosted MCP server providing read-only access to the Apple Search Ads API v5. It exposes campaign and performance data via the Model Context Protocol, allowing developers to integrate Apple Ads data into AI tools and workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a controlled read-only bridge between Apple Search Ads and MCP-compatible AI frameworks.", "useCases": [ "Querying Apple Search Ads campaign performance data from an AI assistant", "Integrating Apple Ads reporting into automated dashboards or analytics pipelines", "Providing structured ad metrics to LLM-based planning or reporting tools" ], "pros": [ "Read-only design prevents accidental edits or cost overruns", "Self-hosted keeps credentials on your infrastructure", "Written in TypeScript with MCP standards for easy integration" ], "cons": [ "Zero community traction or contributions (no stars or activity)", "Limited to read-only operations, no campaign management or bidding", "Requires self-hosting and maintaining an MCP server yourself" ], "tags": [ "ads", "apple", "apple-ads", "apple-search-ads", "mcp", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/andrealufino/aapl-ads-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "pipedreamhq-pipedream" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/andrealufino-aapl-ads-mcp" }, { "slug": "andreas-roennestad-openhive-mcp", "name": "andreas-roennestad/openhive-mcp", "vendor": "Various", "tagline": "MCP server for OpenHive — search and contribute to a shared knowledge base of AI-discovered problem-solution pairs", "description": "An MCP server that lets AI agents search and contribute to OpenHive, a shared knowledge base of problem-solution pairs discovered by AI. It enables agents to query existing solutions and submit new ones, building a collaborative repository of AI-generated knowledge.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to store and retrieve structured problem-solution knowledge", "useCases": [ "Search the OpenHive knowledge base for known problem-solution pairs", "Contribute new AI-discovered solutions to the shared repository", "Integrate OpenHive into agent workflows for knowledge retrieval and storage" ], "pros": [ "Enables AI agents to access and expand a shared knowledge base", "Simple MCP interface for easy integration with agent frameworks", "Open source with a small, focused codebase" ], "cons": [ "Requires an OpenHive instance or network to be useful", "Limited to problem-solution pair data, not general knowledge", "Low community adoption (4 stars) may mean limited support or updates" ], "tags": [], "featured": false, "tier": "curated", "stars": 4, "language": [ "JavaScript" ], "lastUpdated": "2026-04-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/andreas-roennestad/openhive-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "topoteretes-cognee" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/andreas-roennestad-openhive-mcp" }, { "slug": "andreisirbu91-lab-mcpspend", "name": "andreisirbu91-lab/MCPSpend", "vendor": "Various", "tagline": "Real-time cost observability for Model Context Protocol (MCP) tool calls. Wraps any MCP server, attributes spend per tool/project/customer. Free tier 25K calls/mo. EU-hosted", "description": "MCPSpend provides real-time cost observability for Model Context Protocol (MCP) tool calls. It wraps any MCP server to attribute spend per tool, project, or customer. The tool is hosted in the EU and offers a free tier of 25,000 calls per month.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using MCP servers who need to track and allocate costs per tool or client", "useCases": [ "Track per-tool costs across multiple MCP servers", "Attribute AI tool usage spend to specific projects or customers", "Monitor real-time cost trends for MCP-based workflows" ], "pros": [ "Free tier covers 25,000 calls per month for small-scale use", "EU-hosted for compliance with European data regulations", "Granular cost attribution per tool, project, or customer" ], "cons": [ "Limited to MCP protocol tools only, not general API cost tracking", "Relatively new project with only 65 GitHub stars and limited community", "No self-hosted option mentioned, relying on EU-hosted service" ], "tags": [ "ai-agents", "ai-observability", "claude-desktop", "cost-tracking", "cursor", "llm-cost", "mcp", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 65, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/andreisirbu91-lab/MCPSpend", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "vectorize-io-hindsight" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/andreisirbu91-lab-mcpspend" }, { "slug": "andrewschreiber-desktopinsights-mcp", "name": "andrewschreiber/desktopinsights-mcp", "vendor": "Various", "tagline": "MCP server for desktopinsights.com", "description": "An MCP server that connects AI agents to Desktop Insights analytics data. It exposes site metrics and visitor information through the Model Context Protocol, enabling automated queries. Built in TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need website analytics data", "useCases": [ "Query website traffic data via AI assistants", "Integrate Desktop Insights with MCP-compatible tools", "Automate reporting of visitor analytics" ], "pros": [ "Simple MCP interface for AI integration", "TypeScript codebase for easy customization", "Direct access to Desktop Insights data" ], "cons": [ "Very early stage with only 2 GitHub stars", "Limited documentation or community support", "Requires a Desktop Insights account and API key" ], "tags": [ "desktop", "desktop-app", "electron", "electronjs", "enrichment", "technographics" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/andrewschreiber/desktopinsights-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "cline" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/andrewschreiber-desktopinsights-mcp" }, { "slug": "andybrandt-mcp-simple-arxiv", "name": "andybrandt/mcp-simple-arxiv", "vendor": "Various", "tagline": "Tool to work with arXiv, provide LLM with ability to search and read papers from there", "description": "An MCP server that enables LLMs to search arXiv and retrieve paper metadata, abstracts, and full text. It exposes structured tools for querying and reading papers, integrating with any MCP-compatible client.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building research-focused AI agents that need direct access to arXiv content", "useCases": [ "Search arXiv for the latest papers on a specific topic", "Retrieve abstracts and full text for literature review", "Automate reading of arXiv papers within an AI assistant workflow" ], "pros": [ "Open source and easy to self-host with Python", "Provides both search and full-text access via MCP", "Lightweight with minimal dependencies" ], "cons": [ "Limited exclusively to arXiv publications", "Subject to arXiv rate limits and API changes", "Requires an MCP-compatible client to function" ], "tags": [], "featured": false, "tier": "curated", "stars": 196, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-02-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/andybrandt/mcp-simple-arxiv", "relations": { "works_in": [ "claude-code", "cline", "continue", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/andybrandt-mcp-simple-arxiv" }, { "slug": "andyliszewski-webcrawl-mcp", "name": "andyliszewski/webcrawl-mcp", "vendor": "Various", "tagline": "andyliszewski/webcrawl-mcp — indexed from awesome-mcp-servers-punkpeye", "description": "A Python-based MCP server that crawls websites and returns structured content. It exposes tools for fetching and parsing web pages, making site data accessible to AI agents via the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a quick MCP-compatible web crawler for prototyping or small-scale data extraction", "useCases": [ "Extract text and metadata from a given URL for analysis", "Crawl multiple pages of a site to build a content index", "Feed web content into an AI agent for summarization or research" ], "pros": [ "Simple Python implementation easy to extend or debug", "Leverages MCP standard for integration with compatible clients", "Lightweight with minimal dependencies" ], "cons": [ "Limited to 10 GitHub stars indicates early-stage or niche adoption", "No built-in rate limiting or politeness controls for crawling", "Requires manual setup and configuration for non-trivial sites" ], "tags": [], "featured": false, "tier": "curated", "stars": 10, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/andyliszewski/webcrawl-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "agent-infra-mcp-server-browser", "browsermcp-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/andyliszewski-webcrawl-mcp" }, { "slug": "andybrandt-mcp-simple-openai-assistant", "name": "andybrandt/mcp-simple-openai-assistant", "vendor": "Various", "tagline": "MCP server that gives Claude ability to use OpenAI's GPTs assistants", "description": "A Python-based MCP server that enables Claude to call and interact with OpenAI GPT assistants. It routes requests from Claude's tool-use interface through the Model Context Protocol to OpenAI's API, letting developers chain models across providers.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with multi-model agent workflows", "useCases": [ "Bridge Claude to OpenAI's assistant API for hybrid workflows", "Give Claude access to custom GPTs with specialized knowledge", "Build multi-model pipelines without manual API switching" ], "pros": [ "Enables cross-provider model orchestration with minimal code", "Lightweight Python server, easy to self-host", "Leverages existing OpenAI assistant configurations" ], "cons": [ "Requires API keys for both Claude and OpenAI, increasing cost", "Limited to 37 stars, small community for support", "No streaming or real-time response handling documented" ], "tags": [], "featured": false, "tier": "curated", "stars": 37, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-09-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/andybrandt/mcp-simple-openai-assistant", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/andybrandt-mcp-simple-openai-assistant" }, { "slug": "andywang1688-sql-query-mcp", "name": "andyWang1688/sql-query-mcp", "vendor": "Various", "tagline": "A general-purpose MCP server that lets AI work with multiple databases within clear boundaries.", "description": "A general-purpose MCP server that lets AI work with multiple databases within clear boundaries. It is written in Python and provides a standardized interface for executing SQL queries across different database systems.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a simple, controlled way to let AI assistants query multiple databases", "useCases": [ "Enable AI assistants to query production databases with controlled access", "Automate database reporting by connecting AI to multiple data sources", "Build secure database interactions for AI-driven analytics tools" ], "pros": [ "Supports multiple database types through a single MCP interface", "Clear boundary enforcement helps prevent unintended data modifications", "Lightweight Python implementation easy to integrate into existing workflows" ], "cons": [ "Limited community adoption with only 4 stars on GitHub", "Documentation and examples may be sparse for complex setups", "Requires manual configuration for each database connection" ], "tags": [ "chatgpt", "codex", "mcp", "mcp-server", "model-context-protocol", "mysql", "postgresql", "sql" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/andyWang1688/sql-query-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb", "haris-musa-excel-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/andywang1688-sql-query-mcp" }, { "slug": "angheljf-nyt", "name": "angheljf/nyt", "vendor": "Various", "tagline": "📇 ☁️ - Search articles using the NYTimes API", "description": "A JavaScript library for searching articles via the New York Times API. It provides a simple interface to query articles by keyword, date, and other parameters. The tool is open source and hosted on GitHub.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a minimal JavaScript wrapper for the NYTimes Article Search API", "useCases": [ "Search for news articles by keyword", "Retrieve article metadata from the NYTimes API", "Integrate NYT article search into a web application" ], "pros": [ "Lightweight and straightforward JavaScript implementation", "Easy to integrate into Node.js or browser projects", "Open source with permissive license (check repo)" ], "cons": [ "Limited to article search endpoint only", "Low community adoption (18 stars) may indicate lack of updates", "No npm package or versioned releases apparent from description" ], "tags": [], "featured": false, "tier": "curated", "stars": 18, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2025-01-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/angheljf/nyt", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/angheljf-nyt" }, { "slug": "anjor-coinmarket-mcp-server", "name": "anjor/coinmarket-mcp-server", "vendor": "Various", "tagline": "🐍 ☁️ - Coinmarket API integration to fetch cryptocurrency listings and quotes", "description": "An MCP server that connects to the Coinmarket API to fetch cryptocurrency listings and quotes. It is implemented in Python and designed for integration with MCP-compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based agents or assistants that need cryptocurrency price data", "useCases": [ "Retrieve current cryptocurrency market data inside an AI assistant or agent", "Build automated tools that require real-time crypto quotes", "Integrate Coinmarket API data into MCP-enabled workflows" ], "pros": [ "Straightforward Python implementation with clear API mapping", "Open source and easy to self-host for custom use cases", "Compatible with any MCP client or agent framework" ], "cons": [ "Requires a Coinmarket API key, which may involve a paid plan for full access", "Limited to the Coinmarket API dataset (no other providers)", "Small community and limited documentation beyond the repository README" ], "tags": [], "featured": false, "tier": "curated", "stars": 49, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-06-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/anjor/coinmarket-mcp-server", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/anjor-coinmarket-mcp-server" }, { "slug": "anki-mcp-anki-mcp-desktop", "name": "anki-mcp/anki-mcp-desktop", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server that enables AI assistants to interact with Anki, the spaced repetition flashcard application.", "description": "This is a Model Context Protocol (MCP) server that lets AI assistants read, create, and manage flashcards in Anki, the spaced repetition app. It connects to Anki's local API, enabling agents to add cards, query decks, and review scheduling data. Built in TypeScript, it runs as a desktop-side service.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI study assistants or automated flashcard pipelines", "useCases": [ "Automatically generate Anki flashcards from study notes or transcripts", "Query card due counts and review history for study planning", "Bulk update or reorganize decks based on AI analysis" ], "pros": [ "Direct integration with Anki's existing local API, no cloud dependency", "Lets AI assistants automate flashcard creation and deck management", "Open source with TypeScript, easy to extend or debug" ], "cons": [ "Requires Anki desktop app to be running locally", "Limited to Anki's local API capabilities, no sync or mobile control", "Setup involves configuring MCP client and AnkiConnect plugin" ], "tags": [ "ai", "ai-learning-tool", "ai-tutor", "anki", "anki-addon", "anki-flashcards" ], "featured": false, "tier": "curated", "stars": 297, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/anki-mcp/anki-mcp-desktop", "relations": { "works_in": [ "claude-code", "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/anki-mcp-anki-mcp-desktop" }, { "slug": "ankitmalik84-notion-mcp-server", "name": "ankitmalik84/notion-mcp-server", "vendor": "Various", "tagline": "Sophisticated AI chatbot with long-term memory capabilities, complete Notion workspace integration, and MCP (Model Context Protocol) implementation. Features semantic, episodic, an", "description": "This is an MCP server that links AI chatbots to a Notion workspace, providing long-term memory through semantic, episodic, and procedural memory systems. It is implemented in Python and exposes Notion data via the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need persistent, Notion-backed memory within the MCP ecosystem", "useCases": [ "Give an AI assistant persistent memory across sessions using Notion as a database", "Enable an agent to read and write structured Notion pages for task tracking", "Integrate Notion workspaces into MCP-compatible AI clients" ], "pros": [ "Supports multiple memory types for nuanced context retention", "Leverages Notion as a familiar, flexible storage backend", "Follows the MCP standard for interoperability with other tools" ], "cons": [ "Requires a Notion account and API setup to use", "Depends on Notion's API rate limits and network availability", "Limited to Notion as the memory store; no alternative backends provided" ], "tags": [ "ai", "aiagent", "langchain", "mcp", "notion", "openai", "vector-database" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "Python" ], "lastUpdated": "2025-11-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/ankitmalik84/Agentic_Longterm_Memory/tree/main/src/notion_mcp_server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "topoteretes-cognee" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ankitmalik84-notion-mcp-server" }, { "slug": "antonio-mello-ai-mcp-pfsense", "name": "antonio-mello-ai/mcp-pfsense", "vendor": "Various", "tagline": "MCP server for managing pfSense firewalls through AI assistants", "description": "An MCP server that allows AI assistants to manage pfSense firewalls. It exposes firewall operations as MCP tools, enabling automated configuration and monitoring via natural language or scripts. Built in Python, it follows the Model Context Protocol for interoperability with AI clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Admins and developers automating pfSense firewall management through AI assistants", "useCases": [ "Automating firewall rule changes through natural language commands", "Querying pfSense status and logs via AI assistants", "Integrating pfSense security policies into automated compliance workflows" ], "pros": [ "Provides direct programmatic control of pfSense through standard MCP protocol", "Open source Python implementation for transparency and extensibility", "Enables hands-off firewall management via AI assistants" ], "cons": [ "Low community adoption (3 stars) indicates limited testing and real-world use", "Requires secure network access to pfSense and careful permission handling", "May not cover all pfSense features or complex configurations" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/antonio-mello-ai/mcp-pfsense", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/antonio-mello-ai-mcp-pfsense" }, { "slug": "antonio-mello-ai-mcp-proxmox", "name": "antonio-mello-ai/mcp-proxmox", "vendor": "Various", "tagline": "MCP server for managing Proxmox VE clusters through AI assistants", "description": "An MCP server that enables AI assistants to manage Proxmox VE clusters. It exposes Proxmox operations as tools that an AI can call, allowing users to control virtual machines, containers, and cluster resources through natural language.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and sysadmins who want to manage Proxmox clusters through AI assistants", "useCases": [ "Provisioning and managing VMs and containers via chat", "Monitoring cluster health and resource usage through an AI assistant", "Automating routine Proxmox administrative tasks" ], "pros": [ "Direct integration with AI assistants for natural language cluster management", "Open source and Python-based, easy to extend or customize", "Leverages the Model Context Protocol for standardized tool exposure" ], "cons": [ "Small community and limited adoption (10 stars)", "Requires running and securing an MCP server alongside Proxmox", "No built-in authentication or authorization beyond Proxmox's own" ], "tags": [ "ai", "homelab", "llm", "mcp", "mcp-server", "model-context-protocol", "proxmox", "proxmox-ve" ], "featured": false, "tier": "curated", "stars": 10, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/antonio-mello-ai/mcp-proxmox", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/antonio-mello-ai-mcp-proxmox" }, { "slug": "antoniotf5-soul-mcp-server", "name": "AntonioTF5/soul-mcp-server", "vendor": "Various", "tagline": "MCP server for SOUL.md — validate and generate soul files from Claude Desktop.", "description": "A Model Context Protocol server for SOUL.md files. It validates existing soul files and generates new ones from Claude Desktop. Built in JavaScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using SOUL.md and Claude Desktop for structured documentation", "useCases": [ "Validating SOUL.md files for correctness", "Generating soul files from Claude Desktop conversations", "Integrating SOUL.md workflows into MCP-compatible tools" ], "pros": [ "Follows the MCP standard for interoperability", "Lightweight JavaScript implementation", "Directly integrates with Claude Desktop" ], "cons": [ "Very early stage with limited community support", "Only works with SOUL.md format", "Requires Claude Desktop to generate files" ], "tags": [ "claude", "mcp", "model-context-protocol", "soul-md" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/AntonioTF5/soul-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/antoniotf5-soul-mcp-server" }, { "slug": "antv-mcp-server-chart", "name": "antv/mcp-server-chart", "vendor": "Various", "tagline": "🤖 A visualization mcp & skills contains 25+ visual charts using @antvis. Using for chart generation and data analysis.", "description": "A visualization MCP server that provides over 25 chart types using the AntV library. It integrates with AI agents through the Model Context Protocol to generate charts and support data analysis tasks.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to output visual charts from data", "useCases": [ "Integrating chart generation into AI assistant workflows", "Producing visual analytics from data in chat interfaces", "Generating charts programmatically via MCP calls" ], "pros": [ "Supports 25+ chart types for diverse visualization needs", "Leverages AntV's robust visualization framework", "Compatible with MCP-based AI agent ecosystems" ], "cons": [ "Requires an MCP-compatible client or agent to use", "May need data formatted specifically for the server", "Customization options may be limited compared to direct AntV use" ], "tags": [ "antv", "llm", "mcp", "mcp-server", "skills", "visualization" ], "featured": false, "tier": "curated", "stars": 4123, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/antvis/mcp-server-chart", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [ "mckinsey-vizro-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/antv-mcp-server-chart" }, { "slug": "anwerj-youtube-uploader-mcp", "name": "anwerj/youtube-uploader-mcp", "vendor": "Various", "tagline": "Upload/Schedule videos on Youtube with the help of AI", "description": "A Go-based MCP server that lets AI agents upload and schedule videos to YouTube. It wraps YouTube Data API v3 endpoints into tool calls for programmatic video management.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or automation scripts that need to publish videos to YouTube", "useCases": [ "Schedule video uploads from an AI workflow or agent", "Automate batch video publishing to a YouTube channel", "Integrate YouTube uploads into a larger content pipeline" ], "pros": [ "Lightweight Go implementation with no heavy dependencies", "Exposes standard MCP interface for easy integration with AI clients", "Supports both immediate upload and scheduled publishing" ], "cons": [ "Requires YouTube API credentials and OAuth setup", "Limited to upload and schedule operations (no analytics or playlist management)", "Small community and limited documentation beyond the README" ], "tags": [ "ai", "mcp", "upload", "uploader", "youtube" ], "featured": false, "tier": "curated", "stars": 39, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-01-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/anwerj/youtube-uploader-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "klavis-ai-youtube" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/anwerj-youtube-uploader-mcp" }, { "slug": "aparajithn-agent-deploy-dashboard-mcp", "name": "aparajithn/agent-deploy-dashboard-mcp", "vendor": "Various", "tagline": "Unified deployment management MCP server for Vercel, Render, Railway, and Fly.io", "description": "A Python-based MCP server that provides a unified interface for managing deployments on Vercel, Render, Railway, and Fly.io. It exposes each platform's deployment APIs through the Model Context Protocol, enabling AI agents or MCP clients to deploy, monitor, and control applications across multiple cloud providers from a single endpoint.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a standardized MCP endpoint for managing deployments across these four platforms from AI agents or custom automation", "useCases": [ "Deploying applications to Vercel, Render, Railway, or Fly.io via MCP commands", "Querying deployment status and logs across multiple platforms", "Automating multi-cloud deployment workflows in agent-based pipelines" ], "pros": [ "Unifies four popular deployment platforms under one MCP interface", "Leverages the MCP standard for integration with compatible agents and tools", "Lightweight Python implementation easy to customize or extend" ], "cons": [ "Limited to Vercel, Render, Railway, and Fly.io only", "Low adoption (1 star) indicates early stage with likely sparse documentation", "Requires an MCP‑compatible client or agent to be useful" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/aparajithn/agent-deploy-dashboard-mcp", "relations": { "works_in": [ "claude-code", "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/aparajithn-agent-deploy-dashboard-mcp" }, { "slug": "aparajithn-agent-scraper-mcp", "name": "aparajithn/agent-scraper-mcp", "vendor": "Various", "tagline": "Web scraping MCP server for AI agents — screenshots, content extraction, structured scraping", "description": "This MCP server enables AI agents to scrape websites through screenshots, content extraction, and structured data parsing. It exposes scraping capabilities as a Model Context Protocol tool, allowing agents to fetch and process web content during conversations. Built in Python, it uses Playwright or similar browser automation under the hood.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to extract web data programmatically", "useCases": [ "Extract structured data from websites for AI analysis", "Take screenshots of web pages for visual verification", "Scrape text content to feed into retrieval-augmented generation (RAG) pipelines" ], "pros": [ "Provides multiple scraping modes (screenshot, text, structured) in one MCP server", "Integrates directly with AI agents that support the Model Context Protocol", "Python-based, easy to extend or modify for custom scraping needs" ], "cons": [ "Relatively new project with few community stars, limited documentation or support", "Requires an agent that implements the MCP protocol, which is still emerging", "Dependency on browser automation tools like Playwright adds setup overhead" ], "tags": [], "featured": false, "tier": "curated", "stars": 4, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/aparajithn/agent-scraper-mcp", "relations": { "works_in": [ "anthropic-computer-use", "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [ "microsoft-markitdown" ], "alternative_to": [ "executeautomation-playwright-mcp-server", "browsermcp-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/aparajithn-agent-scraper-mcp" }, { "slug": "apecloud-aperag", "name": "apecloud/ApeRAG", "vendor": "Various", "tagline": "ApeRAG: Production-ready GraphRAG with multi-modal indexing, AI agents, MCP support, and scalable K8s deployment", "description": "ApeRAG is an open-source Python framework for building production-grade GraphRAG systems. It provides multi-modal indexing, AI agent integration, and MCP support, with deployment designed for Kubernetes scalability.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Teams building scalable, graph-based RAG systems with multi-modal data and agent integration", "useCases": [ "Deploying scalable knowledge retrieval pipelines with graph-based indexing", "Building multi-modal RAG systems that index text, images, and other data types", "Integrating AI agents with retrieval-augmented generation using MCP protocol" ], "pros": [ "Production-ready with Kubernetes-native deployment for horizontal scaling", "Supports multi-modal indexing for richer retrieval beyond text-only", "Includes MCP support for standardized agent communication" ], "cons": [ "Requires Kubernetes expertise for full deployment and scaling", "Relatively new project with 1,180 stars, smaller community than established RAG frameworks", "Python-only, limiting integration with non-Python stacks" ], "tags": [ "agents", "context-engineering", "graphrag", "knowledge-graph", "mcp" ], "featured": false, "tier": "curated", "stars": 1180, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-05-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/apecloud/ApeRAG", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "topoteretes-cognee" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/apecloud-aperag" }, { "slug": "api7-apisix-mcp", "name": "api7/apisix-mcp", "vendor": "Various", "tagline": "APISIX Model Context Protocol (MCP) server is used to bridge large language models (LLMs) with the APISIX Admin API.", "description": "A TypeScript server that implements the Model Context Protocol to connect large language models with the APISIX Admin API. It allows LLMs to manage APISIX routes, upstreams, and other configurations through natural language or structured prompts.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers already using APISIX who want to experiment with LLM-driven gateway management", "useCases": [ "Automating APISIX configuration changes via chat interfaces", "Enabling LLM-driven API gateway management for DevOps teams", "Prototyping dynamic routing rules with natural language commands" ], "pros": [ "Leverages the standard MCP protocol for interoperability with LLM clients", "Directly integrates with APISIX Admin API without custom middleware", "Open source with a clear, focused scope" ], "cons": [ "Small community and limited track record (37 GitHub stars)", "Requires running and securing an MCP server alongside APISIX", "Dependent on APISIX Admin API version compatibility" ], "tags": [ "api-management", "apisix", "mcp", "mcp-server", "typescript" ], "featured": false, "tier": "curated", "stars": 37, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2025-06-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/api7/apisix-mcp", "relations": { "works_in": [ "cursor", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/api7-apisix-mcp" }, { "slug": "aparajithn-agent-utils-mcp", "name": "aparajithn/agent-utils-mcp", "vendor": "Various", "tagline": "aparajithn/agent-utils-mcp — indexed from awesome-mcp-servers-punkpeye", "description": "A Python package that provides utility functions for AI agents using the Model Context Protocol (MCP). It is listed in the awesome-mcp-servers collection and is intended to simplify agent tool integration and context management.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Builders exploring MCP-based agent architectures who need a simple starting point", "useCases": [ "Building MCP-based agent workflows with minimal boilerplate", "Integrating custom tools into agent context", "Testing and prototyping MCP agent interactions" ], "pros": [ "Lightweight and Python-native", "Focused on MCP standard for agent interoperability", "Useful as a foundation for custom agent utilities" ], "cons": [ "Very low community adoption (4 stars) and sparse documentation", "May lack maturity and feature coverage for production use", "Limited visibility beyond the awesome-mcp-servers listing" ], "tags": [], "featured": false, "tier": "curated", "stars": 4, "language": [ "Python" ], "lastUpdated": "2026-03-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/aparajithn/agent-utils-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp", "pydantic-pydantic-ai-mcp-run-python" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/aparajithn-agent-utils-mcp" }, { "slug": "apiarya-wemo-mcp-server", "name": "apiarya/wemo-mcp-server", "vendor": "Various", "tagline": "Control Wemo smart home devices through AI assistants using natural language.", "description": "This server exposes Wemo smart home devices through the Model Context Protocol (MCP), enabling AI assistants to control lights, switches, and other Wemo devices via natural language commands. Users interact through an MCP client (like Claude Desktop) that translates requests into device actions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need voice or text control of local Wemo home devices", "useCases": [ "Turn on/off Wemo lights or switches via voice or chat prompts", "Schedule device state changes through conversational AI workflows", "Integrate Wemo control into agent-based automation pipelines" ], "pros": [ "Zero-config discovery of Wemo devices on the local network", "Leverages existing MCP ecosystem for seamless AI assistant integration", "Lightweight Python implementation with minimal dependencies" ], "cons": [ "Requires local network access to Wemo devices (no cloud relay)", "No authentication or access controls built in", "Limited to devices that are already paired and on the same subnet" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/apiarya/wemo-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "wonderwhy-er-desktopcommandermcp", "agent-infra-mcp-server-browser", "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/apiarya-wemo-mcp-server" }, { "slug": "apify-actors-mcp-server", "name": "apify/actors-mcp-server", "vendor": "Various", "tagline": "The Apify MCP server enables your AI agents to extract data from social media, search engines, maps, e-commerce sites, or any other website using thousands of ready-made scrapers,", "description": "Apify Actors MCP Server provides a Model Context Protocol interface for AI agents to access thousands of pre-built scrapers and automation tools from the Apify Store. Agents use the server to trigger data extraction from social media, search engines, maps, e-commerce sites, and other web sources via standardized tool calls.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need structured web data extraction from many sources", "useCases": [ "Extract data from social media platforms for analysis", "Monitor search engine results or e-commerce pricing", "Scrape structured content from any website via ready-made actors" ], "pros": [ "Massive library of ready-to-use scrapers and automators", "Open-source TypeScript implementation with MCP integration", "Leverages proven Apify infrastructure for reliable extraction" ], "cons": [ "Requires an Apify account and credits for most actors", "Rate limits and costs depend on Apify's pricing tiers", "Limited to actors available in the Apify Store" ], "tags": [ "agents", "ai", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 1295, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/apify/actors-mcp-server", "relations": { "works_in": [ "claude-code", "cline", "cursor", "continue" ], "uses": [], "built_with": [], "pairs_with": [ "browsermcp-mcp", "executeautomation-playwright-mcp-server", "agent-infra-mcp-server-browser", "exa-labs-exa-mcp-server" ], "alternative_to": [ "browsermcp-mcp", "executeautomation-playwright-mcp-server", "agent-infra-mcp-server-browser" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/apify-actors-mcp-server" }, { "slug": "apify-mcp-server-rag-web-browser", "name": "apify/mcp-server-rag-web-browser", "vendor": "Various", "tagline": "A MCP Server for the RAG Web Browser Actor", "description": "A Model Context Protocol server that connects AI assistants to Apify's RAG Web Browser Actor. It enables agents to browse web pages, extract content, and retrieve information for retrieval-augmented generation tasks. The server acts as a bridge between MCP-compatible clients and the Apify web browser actor.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-compatible AI agents that need web browsing for RAG", "useCases": [ "Enabling AI agents to fetch and process web content for answering questions", "Integrating web browsing capabilities into MCP-based AI workflows", "Automating data extraction from web pages for knowledge base updates" ], "pros": [ "Simplifies integration of web browsing into AI agents via standard MCP protocol", "Leverages Apify's robust web scraping infrastructure", "Open source with active community (204 stars)" ], "cons": [ "Requires an Apify account and API token to use the underlying actor", "Limited to the capabilities of the RAG Web Browser Actor (e.g., no JavaScript rendering)", "May have latency due to network calls to Apify servers" ], "tags": [], "featured": false, "tier": "curated", "stars": 204, "language": [ "JavaScript" ], "license": "Apache-2.0", "lastUpdated": "2026-05-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/apify/mcp-server-rag-web-browser", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "agent-infra-mcp-server-browser", "browsermcp-mcp", "executeautomation-playwright-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/apify-mcp-server-rag-web-browser" }, { "slug": "apinetwork-piapi-mcp-server", "name": "apinetwork/piapi-mcp-server", "vendor": "Various", "tagline": "A TypeScript implementation of a Model Context Protocol (MCP) server that integrates with PiAPI's API. PiAPI makes user able to generate media content with Midjourney/Flux/Kling/Lu", "description": "A TypeScript Model Context Protocol (MCP) server that connects to the PiAPI service. It lets users generate media from tools like Midjourney, Flux, Kling, LumaLabs, Udio, Chirp, and Trellis directly from Claude or any MCP-compatible application. The server exposes PiAPI's capabilities through the standardized MCP interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-compatible workflows who need to invoke multiple media generation APIs from a single interface", "useCases": [ "Generate images via Midjourney from Claude or other MCP hosts", "Create audio content using Udio or Chirp within MCP-compatible workflows", "Integrate Flux or LumaLabs media generation into custom MCP-based tools" ], "pros": [ "Supports multiple popular media generation services through a single MCP server", "Standard MCP interface makes integration with Claude and other clients straightforward", "Open source TypeScript codebase allows for inspection and customization" ], "cons": [ "Requires a PiAPI account and API key for each service used", "Dependent on external third-party APIs for actual media generation", "Small community with 69 stars, limited documentation beyond the repository" ], "tags": [], "featured": false, "tier": "curated", "stars": 69, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-08-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/apinetwork/piapi-mcp-server", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/apinetwork-piapi-mcp-server" }, { "slug": "apireno-domshell", "name": "apireno/DOMShell", "vendor": "Various", "tagline": "AgenticShell", "description": "DOMShell is a TypeScript-based agentic shell for interacting with the Document Object Model. It provides a command-line interface for automating browser tasks and manipulating web page elements.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a simple, scriptable DOM shell for quick automation tasks", "useCases": [ "Automating repetitive DOM interactions in browser testing", "Scripting web scraping tasks with direct DOM access", "Building lightweight browser automation workflows" ], "pros": [ "Written in TypeScript for type safety and modern development", "Open source with a permissive license", "Lightweight and focused on DOM-level control" ], "cons": [ "Small community with only 41 stars, limiting support and contributions", "May lack extensive documentation or examples", "Narrow scope may not suit complex full-browser automation needs" ], "tags": [], "featured": false, "tier": "curated", "stars": 41, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/apireno/DOMShell", "relations": { "works_in": [ "cursor", "cline", "claude-code" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/apireno-domshell" }, { "slug": "apogeoapi-apogeoapi-mcp", "name": "APOGEOAPI/apogeoapi-mcp", "vendor": "Various", "tagline": "MCP server for ApogeoAPI — geographic data, live exchange rates & IP geolocation", "description": "An MCP server that provides geographic data, live exchange rates, and IP geolocation through the ApogeoAPI. It is implemented in TypeScript and follows the Model Context Protocol for integration with AI tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need geographic, exchange rate, or IP geolocation data through an MCP interface.", "useCases": [ "Retrieve geographic data for a given location", "Fetch live foreign exchange rates", "Perform IP address geolocation lookups" ], "pros": [ "Combines three data sources in one MCP server", "Uses standard MCP protocol for easy integration", "TypeScript implementation for type safety" ], "cons": [ "No stars or community adoption yet", "Relies on external ApogeoAPI service availability", "Limited documentation beyond the repository description" ], "tags": [ "anthropic", "claude", "countries", "exchange-rates", "geographic-data", "geolocation", "ip-geolocation", "mcp" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/APOGEOAPI/apogeoapi-mcp", "relations": { "works_in": [ "continue", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/apogeoapi-apogeoapi-mcp" }, { "slug": "appvisionos-apple-search-ads-mcp", "name": "AppVisionOS/apple-search-ads-mcp", "vendor": "Various", "tagline": "MCP server exposing the full Apple Ads (Search Ads) Campaign Management API v5 — 74 typed tools", "description": "This MCP server provides access to the full Apple Ads (Search Ads) Campaign Management API v5, exposing 74 typed tools. It allows MCP-compatible clients to programmatically manage campaigns, ad groups, keywords, and reports. Built in TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based agents that need to manage Apple Search Ads campaigns programmatically", "useCases": [ "Automate Apple Search Ads campaign creation and bidding adjustments", "Ad-hoc retrieval of campaign performance metrics without manual API calls", "Integrate Apple Ads management into MCP-based agent workflows" ], "pros": [ "Covers the entire Apple Search Ads API v5 with a tool for nearly every endpoint", "Typed tools reduce errors when constructing requests", "Standard MCP protocol makes it usable with any MCP client" ], "cons": [ "Very low community adoption (3 GitHub stars) indicates limited testing or support", "Requires familiarity with Apple Ads API concepts and authentication", "MCP ecosystem is still maturing, so compatibility with agents may vary" ], "tags": [ "advertising", "anthropic", "apple-ads", "apple-ads-api", "apple-search-ads", "aso", "claude", "claude-code" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-03", "addedAt": "2026-06-01", "officialLink": "https://github.com/AppVisionOS/apple-search-ads-mcp", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/appvisionos-apple-search-ads-mcp" }, { "slug": "araa47-jupiter-mcp", "name": "araa47/jupiter-mcp", "vendor": "Various", "tagline": "🐍 ☁️ - Jupiter API Access (allow AI to Trade Tokens on Solana + Access Balances + Search Tokens + Create Limit Orders )", "description": "A Python-based MCP server that exposes the Jupiter API to AI agents. It enables trading tokens on Solana, checking wallet balances, searching tokens, and creating limit orders. The tool uses the Model Context Protocol to connect AI to the Jupiter decentralized exchange.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building autonomous trading agents on Solana", "useCases": [ "Automate token swaps on Solana", "Check wallet balances via AI", "Create limit orders programmatically" ], "pros": [ "Leverages Jupiter's routing for optimal trades", "Enables AI-driven Solana DeFi strategies", "Open source Python implementation" ], "cons": [ "Zero stars may indicate limited community testing", "Requires Jupiter API and Solana RPC access", "Potential security concerns with AI-controlled trading" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "lastUpdated": "2025-08-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/araa47/jupiter-mcp", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/araa47-jupiter-mcp" }, { "slug": "aranjan-kite-mcp", "name": "aranjan/kite-mcp", "vendor": "Various", "tagline": "MCP server for Zerodha Kite -- trade Indian stocks via any MCP-compatible AI assistant", "description": "A Model Context Protocol server that connects AI assistants to the Zerodha Kite trading platform for Indian stock market operations. It exposes Kite's trading functions through MCP, enabling natural language commands for placing orders, checking portfolios, and retrieving market data.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Indian retail traders who want to automate stock trading through AI assistants", "useCases": [ "Place buy or sell orders for Indian stocks via chat", "Query portfolio positions and account balances", "Fetch live market quotes and historical data" ], "pros": [ "Enables natural language trading without a dedicated UI", "Leverages Zerodha Kite's robust API for Indian markets", "Simple Python setup for developers familiar with MCP" ], "cons": [ "Requires a Zerodha account and API credentials", "Limited to Indian stock exchanges only", "Low community adoption with only 3 GitHub stars" ], "tags": [ "kite", "mcp", "python", "stocks", "trading", "zerodha" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/aranjan/kite-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/aranjan-kite-mcp" }, { "slug": "arbitova-mcp-server", "name": "@arbitova/mcp-server", "vendor": "Various", "tagline": "Arbitova — AI-powered trade arbitration platform. Neutral verdict engine for disputed transactions, with MCP server, TypeScript & Python SDKs.", "description": "A trade arbitration platform that provides a neutral verdict engine for disputed transactions. Includes an MCP server with TypeScript and Python SDKs for integration into trading systems.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing to add dispute resolution capabilities to trading platforms", "useCases": [ "Resolve trade disputes programmatically with a verdict engine", "Integrate arbitration logic into existing trading platforms via MCP", "Automate transaction dispute handling using the provided SDKs" ], "pros": [ "Provides a structured, neutral arbitration mechanism for disputes", "Includes SDKs in popular languages for easier integration", "Open source with a clear protocol (MCP) for extensibility" ], "cons": [ "Very low adoption (1 star), indicating limited community or maturity", "Documentation and support may be minimal", "Listed language is HTML, which is unusual for a server tool; implementation quality unclear" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "HTML" ], "license": "MIT", "lastUpdated": "2026-04-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/jiayuanliang0716-max/Arbitova", "relations": { "works_in": [ "claude-code", "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/arbitova-mcp-server" }, { "slug": "arcadedata-arcadedb", "name": "ArcadeData/arcadedb", "vendor": "Various", "tagline": "ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. Arc", "description": "ArcadeDB is a multi-model database management system that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB, and Redis APIs. It is a conceptual fork of OrientDB and includes support for vector embeddings. The database is written in Java and is available as open source on GitHub.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a flexible multi-model database with vector capabilities and want to avoid managing separate systems", "useCases": [ "Build applications that require graph, document, and key-value models in a single database", "Use as a vector database for similarity search and AI workflows", "Migrate from OrientDB to a maintained fork with extended features" ], "pros": [ "Supports multiple query languages and APIs, reducing integration complexity", "Includes native vector embedding support for modern AI use cases", "Open source with an active GitHub repository" ], "cons": [ "Smaller community and ecosystem compared to established databases like PostgreSQL or MongoDB", "Java runtime dependency may not suit all deployment environments", "As a fork, documentation and third-party tooling may be less mature" ], "tags": [ "arcadedb", "database", "dbms", "distributed", "docker", "document", "embedded", "graph" ], "featured": false, "tier": "curated", "stars": 909, "language": [ "Java" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/ArcadeData/arcadedb", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/arcadedata-arcadedb" }, { "slug": "arcadia-finance-mcp-server", "name": "arcadia-finance/mcp-server", "vendor": "Various", "tagline": "MCP server for Arcadia Finance. Manage concentrated liquidity positions with built-in leverage, automated rebalancing, and yield optimization on Base, Optimism, and Unichain.", "description": "An MCP server for Arcadia Finance. It manages concentrated liquidity positions with built-in leverage, automated rebalancing, and yield optimization. The server operates on Base, Optimism, and Unichain.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building automated liquidity management tools on Arcadia Finance", "useCases": [ "Automating rebalancing of concentrated liquidity positions", "Managing leveraged liquidity positions across multiple chains", "Optimizing yield on Arcadia Finance pools" ], "pros": [ "Open source TypeScript implementation for easy integration", "Supports three chains: Base, Optimism, and Unichain", "Includes leverage and automated rebalancing out of the box" ], "cons": [ "Limited to the Arcadia Finance protocol", "Only supports three chains currently", "Requires familiarity with MCP server setup and configuration" ], "tags": [ "arcadia", "base", "defi", "lending", "liquidity", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "TypeScript" ], "license": "AGPL-3.0", "lastUpdated": "2026-05-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/arcadia-finance/mcp-server", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/arcadia-finance-mcp-server" }, { "slug": "archai-labs-fastmcp-sonarqube-metrics", "name": "ArchAI-Labs/fastmcp-sonarqube-metrics", "vendor": "Various", "tagline": "Chat with your SonarQube data: explore metrics, compare trends, and track issues—effortlessly.", "description": "A Python-based MCP server that lets you query SonarQube metrics using natural language. It connects to a SonarQube instance and exposes project metrics, issue counts, and trend data through a chat interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to query SonarQube metrics conversationally without writing API calls", "useCases": [ "Ask about code quality metrics for a specific project", "Compare quality trends across different time periods", "Track open issues and their severity levels" ], "pros": [ "Enables natural language exploration of SonarQube data", "Lightweight and easy to integrate with existing MCP clients", "Open source with a permissive license" ], "cons": [ "Requires a running SonarQube instance with API access", "Limited to the metrics SonarQube exposes", "Small community and few stars, so limited support" ], "tags": [ "mcp-server", "sonarqube" ], "featured": false, "tier": "curated", "stars": 13, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-03-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/ArchAI-Labs/fastmcp-sonarqube-metrics", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/archai-labs-fastmcp-sonarqube-metrics" }, { "slug": "areweai-tsgram-mcp", "name": "areweai/tsgram-mcp", "vendor": "Various", "tagline": "TSGram - Telegram MCP Server for local Claude Code integration - debug and vibe code on the go!", "description": "A Telegram MCP server that connects Telegram to Claude Code for remote debugging and development. It allows developers to interact with Claude Code through Telegram messages, enabling code edits, debugging, and experimentation from a mobile device.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to debug or experiment with code using Claude Code from a mobile device via Telegram", "useCases": [ "Debug code issues while away from a desktop via Telegram chat", "Run quick code experiments or fix bugs using natural language commands", "Monitor and control Claude Code sessions from a phone or tablet" ], "pros": [ "Enables remote development and debugging without a full desktop IDE", "Simple setup for developers already using Telegram and Claude Code", "Lightweight MCP implementation with 92 stars, suggesting community interest" ], "cons": [ "Limited to Claude Code capabilities and cannot access other tools", "Requires a Telegram account and manual configuration of the MCP server", "Small community may mean slower updates or fewer use guides" ], "tags": [], "featured": false, "tier": "curated", "stars": 92, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2025-06-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/areweai/tsgram-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "claude-code" ], "alternative_to": [ "lharries-whatsapp-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/areweai-tsgram-mcp" }, { "slug": "ariadng-metatrader-mcp-server", "name": "ariadng/metatrader-mcp-server", "vendor": "Various", "tagline": "Model Context Protocol (MCP) to enable AI LLMs to trade using MetaTrader platform", "description": "This MCP server lets language models interact with the MetaTrader trading platform. It translates LLM requests into MetaTrader operations for automated trading. The server is written in Python and uses the Model Context Protocol standard.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers embedding LLM agents into MetaTrader trading workflows", "useCases": [ "Automate trading strategies via LLM commands", "Connect conversational agents to live MetaTrader accounts", "Enable LLM-based backtesting and order placement" ], "pros": [ "Open source with 465 GitHub stars and active community", "Integrates with widely used MetaTrader platform", "Pure Python implementation is easy to extend" ], "cons": [ "Requires MetaTrader running locally or on a remote machine", "Not a standalone trading system, needs external LLM model", "Latency and reliability depend on MetaTrader connection" ], "tags": [ "ai", "finance", "investment", "llm", "mcp", "metatrader", "quantitative-finance", "trading" ], "featured": false, "tier": "curated", "stars": 465, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/ariadng/metatrader-mcp-server", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ariadng-metatrader-mcp-server" }, { "slug": "arian-gogani-nobulex", "name": "arian-gogani/nobulex", "vendor": "Various", "tagline": "The trust economy for autonomous AI agents. Credit scores for machines. Agents earn Trust Capital through verified behavior, gating what they are allowed to do. Autonomy earned, no", "description": "Nobulex is a trust economy for autonomous AI agents, assigning credit scores to machines. Agents earn Trust Capital through verified behavior, which gates their allowed actions. Autonomy is earned, not granted, based on this reputation system.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with reputation-based agent autonomy", "useCases": [ "Gating agent actions based on earned trust scores", "Building reputation systems for multi-agent ecosystems", "Enforcing behavior-based access controls in autonomous systems" ], "pros": [ "Novel approach to agent governance via earned trust", "TypeScript codebase for easy integration with modern stacks", "Open source with a clear, focused concept" ], "cons": [ "Very early stage with only 31 GitHub stars", "Limited documentation and community support", "Unproven in production environments" ], "tags": [ "accountability", "agent-governance", "ai-agents", "ai-security", "autonomous-agents", "compliance", "credit-score", "cryptography" ], "featured": false, "tier": "curated", "stars": 31, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/arian-gogani/nobulex", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "pydantic-pydantic-ai-mcp-run-python" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/arian-gogani-nobulex" }, { "slug": "ariekogan-ateam-mcp", "name": "ariekogan/ateam-mcp", "vendor": "Various", "tagline": "ADAS MCP Server — build, validate, and deploy multi-agent solutions from any AI environment", "description": "A JavaScript MCP server that lets you build, validate, and deploy multi-agent solutions from any AI environment. It provides a standardized interface for orchestrating agent workflows and managing their lifecycle.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building multi-agent systems who want a standardized MCP-based orchestration layer", "useCases": [ "Orchestrating multi-agent task pipelines from an AI assistant", "Validating agent outputs against defined schemas or rules", "Deploying agent configurations to production environments" ], "pros": [ "Works with any MCP-compatible AI environment", "Standardized interface reduces integration complexity", "Supports full lifecycle from build to deploy" ], "cons": [ "Zero stars and no community traction yet", "Limited documentation or examples available", "Requires MCP-compatible clients to use" ], "tags": [ "adas", "ai-agents", "mcp", "mcp-server", "model-context-protocol", "multi-agent" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "lastUpdated": "2026-05-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/ariekogan/ateam-mcp", "relations": { "works_in": [ "cursor", "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ariekogan-ateam-mcp" }, { "slug": "arifur9993-attendance-engine-mcp", "name": "arifur9993/attendance-engine-mcp", "vendor": "Various", "tagline": "MCP server giving AI agents tools for workforce attendance, overtime, overnight shifts & California wage-and-hour compliance.", "description": "An MCP server that exposes tools for AI agents to handle workforce attendance, overtime, overnight shifts, and California wage-and-hour compliance. Built in TypeScript, it provides a structured interface for agents to query and manage attendance data.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents for HR compliance and attendance management in California", "useCases": [ "Integrate AI agents with HR systems to automate attendance tracking", "Enforce California overtime and meal-break rules via agent workflows", "Build compliance checks for overnight shift scheduling" ], "pros": [ "Specialized for California wage-and-hour law, reducing compliance risk", "Leverages MCP protocol for easy integration with AI agent frameworks", "TypeScript codebase offers type safety and broad ecosystem support" ], "cons": [ "No stars or community adoption yet, indicating early-stage or untested", "Limited to California regulations, not applicable to other jurisdictions", "Requires an MCP-compatible agent runtime to be useful" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/arifur9993/attendance-engine-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "eyaltoledano-claude-task-master" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/arifur9993-attendance-engine-mcp" }, { "slug": "arikusi-nakkas", "name": "arikusi/nakkas", "vendor": "Various", "tagline": "MCP server that turns AI into an SVG artist", "description": "A Model Context Protocol server that enables AI agents to generate SVG graphics. It exposes tools for creating, editing, and exporting vector illustrations through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-powered design tools or needing automated SVG generation", "useCases": [ "Generate custom SVG icons and illustrations from natural language prompts", "Edit existing SVG files programmatically via AI agents", "Export vector graphics in multiple formats for web or print use" ], "pros": [ "Leverages the MCP standard for easy integration with AI assistants", "Written in TypeScript with good type safety and developer ergonomics", "Lightweight and focused on a single, well-defined task" ], "cons": [ "Limited to SVG output, not suitable for raster or 3D graphics", "Depends on the underlying AI model's ability to understand vector art concepts", "Small community and limited documentation due to early stage" ], "tags": [ "ai", "animation", "css-animation", "generative-art", "mcp", "mcp-server", "modelcontextprotocol", "svg" ], "featured": false, "tier": "curated", "stars": 9, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/arikusi/nakkas", "relations": { "works_in": [ "cline", "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/arikusi-nakkas" }, { "slug": "arikusi-deepseek-mcp-server", "name": "arikusi/deepseek-mcp-server", "vendor": "Various", "tagline": "MCP Server for DeepSeek API - enables MCP clients to use DeepSeek Chat and Reasoner models", "description": "This MCP server provides an interface for MCP clients to access DeepSeek's Chat and Reasoner models through the DeepSeek API. It enables standardized integration of DeepSeek models into MCP-compatible environments. The implementation is written in TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to use DeepSeek models within MCP-compatible frameworks", "useCases": [ "Integrating DeepSeek Chat or Reasoner models into MCP-based tools", "Building conversational interfaces that leverage DeepSeek's API via MCP", "Extending MCP clients to include DeepSeek model capabilities" ], "pros": [ "Lightweight TypeScript implementation with a clear MCP interface", "Enables standardized, protocol-based access to DeepSeek models", "Open source with no vendor lock-in beyond the DeepSeek API" ], "cons": [ "Community adoption is very low (12 stars), indicating limited use or maintenance", "Relies entirely on the DeepSeek API, so any API changes or outages affect functionality", "Project maturity and active development are uncertain given the low star count" ], "tags": [ "ai", "claude-code", "deepseek", "gemini-cli", "llm", "mcp", "mcp-server", "typescript" ], "featured": false, "tier": "curated", "stars": 12, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/arikusi/deepseek-mcp-server", "relations": { "works_in": [], "uses": [ "deepseek-r1" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/arikusi-deepseek-mcp-server" }, { "slug": "arjun1194-insta-mcp", "name": "arjun1194/insta-mcp", "vendor": "Various", "tagline": "Instagram MCP Server - Provides AI assistants with tools for Instagram analytics, insights, and account management", "description": "Insta-MCP is a TypeScript server that exposes Instagram analytics, insights, and account management tools through the Model Context Protocol. It enables AI assistants to retrieve Instagram data and perform account operations by connecting to the Instagram API.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need to interact with Instagram accounts programmatically", "useCases": [ "Fetching Instagram account analytics and post insights", "Managing Instagram account settings via AI assistants", "Automating Instagram data retrieval for reporting tools" ], "pros": [ "Provides structured access to Instagram data for AI workflows", "Written in TypeScript for type safety and easy integration", "Low star count suggests early stage with potential for rapid iteration" ], "cons": [ "Requires Instagram API credentials and proper authentication setup", "Limited community adoption and documentation due to few stars", "Dependent on Instagram API rate limits and policy changes" ], "tags": [], "featured": false, "tier": "curated", "stars": 8, "language": [ "TypeScript" ], "lastUpdated": "2025-12-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/arjun1194/insta-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [ "klavis-ai-youtube" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/arjun1194-insta-mcp" }, { "slug": "ark-forge-arkforge-mcp", "name": "ark-forge/arkforge-mcp", "vendor": "Various", "tagline": "Third-party cryptographic proof for AI agent API calls — ArkForge Trust Layer MCP server", "description": "ArkForge Trust Layer MCP server provides cryptographic proof for AI agent API calls. It works as a third-party service that signs and verifies agent interactions, enabling trust and auditability in automated workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building auditable AI agent systems that need cryptographic verification of API calls", "useCases": [ "Verify authenticity of AI agent API requests in production", "Audit agent actions with cryptographic signatures", "Integrate trust layer into existing MCP-based agent systems" ], "pros": [ "Adds verifiable trust to agent API calls", "Open source Python implementation", "Simple MCP server integration" ], "cons": [ "Very early stage with only 1 GitHub star", "Limited community adoption and documentation", "Requires additional infrastructure to run the trust layer" ], "tags": [ "ai-agents", "audit-trail", "cryptographic-proof", "eidas", "mcp", "sigstore", "trust" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/ark-forge/arkforge-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "browsermcp-mcp", "executeautomation-playwright-mcp-server", "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ark-forge-arkforge-mcp" }, { "slug": "ark-forge-mcp-eu-ai-act", "name": "ark-forge/mcp-eu-ai-act", "vendor": "Various", "tagline": "MCP EU AI Act Compliance Scanner - Open source tool to detect EU AI Act violations in codebases", "description": "An open source Python tool that scans codebases for potential violations of the EU AI Act. It uses a Model Context Protocol (MCP) to analyze code and flag compliance issues based on the Act's requirements.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and compliance teams needing a quick, automated check for EU AI Act violations in Python codebases.", "useCases": [ "Audit a codebase for EU AI Act compliance before deployment", "Integrate into CI/CD pipelines to catch violations during development", "Review third-party or legacy code for regulatory risks" ], "pros": [ "Free and open source with no vendor lock-in", "Focused specifically on EU AI Act compliance, not generic linting", "Lightweight Python tool that can run locally or in automation" ], "cons": [ "Limited to 8 GitHub stars, indicating early-stage or niche adoption", "Requires understanding of EU AI Act to interpret results", "May not cover all nuanced compliance scenarios or legal interpretations" ], "tags": [ "ai-governance", "ai-regulation", "ai-safety", "claude", "compliance", "compliance-scanner", "eu-ai-act", "gdpr" ], "featured": false, "tier": "curated", "stars": 8, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/ark-forge/mcp-eu-ai-act", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ark-forge-mcp-eu-ai-act" }, { "slug": "arkalda-hejdar-mcp", "name": "ARKALDA/hejdar-mcp", "vendor": "Various", "tagline": "Hejdar MCP Server — runtime policy enforcement for AI agents", "description": "Hejdar MCP Server provides runtime policy enforcement for AI agents. It operates as a server that intercepts and controls agent actions based on predefined rules, likely leveraging the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need runtime guardrails for AI agents using the Model Context Protocol", "useCases": [ "Enforce access control policies on AI agent tool calls", "Monitor and log agent actions in real time", "Restrict agent behavior to approved operations" ], "pros": [ "Lightweight Python implementation", "Integrates with MCP-based agent workflows", "Adds a runtime safety layer for autonomous agents" ], "cons": [ "Zero stars indicates early stage or limited adoption", "No documented community or usage examples", "May lack comprehensive documentation or support" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/ARKALDA/hejdar-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/arkalda-hejdar-mcp" }, { "slug": "armorwallet-armor-crypto-mcp", "name": "armorwallet/armor-crypto-mcp", "vendor": "Various", "tagline": "The MCP server for interacting with Blockchain, Swaps, Strategic Planning and more.", "description": "A Python-based MCP server that provides blockchain interaction, token swaps, and strategic planning capabilities. It exposes these functions through the Model Context Protocol for integration with AI agents and development tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need on-chain data and swap execution", "useCases": [ "Query blockchain data and balances via MCP", "Execute token swaps through connected wallets", "Automate DeFi strategies with AI agent orchestration" ], "pros": [ "Open-source with 183 GitHub stars and active community", "Python-based, easy to extend and integrate", "Covers multiple crypto operations in one MCP server" ], "cons": [ "Limited to MCP-compatible clients and workflows", "Requires self-hosting and wallet configuration", "Documentation may be sparse for advanced use cases" ], "tags": [ "ai", "ai-agents", "cryptocurrency", "mcp", "tradingbot", "wallet" ], "featured": false, "tier": "curated", "stars": 183, "language": [ "Python" ], "license": "GPL-3.0", "lastUpdated": "2025-07-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/armorwallet/armor-crypto-mcp", "relations": { "works_in": [ "anthropic-computer-use", "cline" ], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/armorwallet-armor-crypto-mcp" }, { "slug": "arnstarn-mcp-server-spotinst", "name": "arnstarn/mcp-server-spotinst", "vendor": "Various", "tagline": "MCP server for Spot.io (Spotinst) API - Ocean clusters, VNGs, Elastigroups, costs, right-sizing across AWS and Azure", "description": "An MCP server that exposes the Spot.io (Spotinst) API for managing Ocean clusters, VNGs, Elastigroups, costs, and right-sizing across AWS and Azure. It allows AI assistants or MCP-compatible clients to interact with Spot.io resources programmatically. Built in Python, it provides a standardized interface for cloud cost optimization and infrastructure automation.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using MCP-based AI assistants to manage Spot.io cloud resources", "useCases": [ "Query and manage Ocean clusters and Elastigroups via natural language", "Retrieve cost and right-sizing recommendations for AWS and Azure", "Automate Spot.io resource operations through MCP-compatible assistants" ], "pros": [ "Direct integration with Spot.io API for multiple resource types", "Enables natural language control of cloud infrastructure via MCP", "Python-based, easy to extend or modify" ], "cons": [ "Requires an MCP-compatible client or assistant to use", "Zero stars and limited community adoption may indicate early stage", "Depends on Spot.io API availability and authentication setup" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/arnstarn/mcp-server-spotinst", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/arnstarn-mcp-server-spotinst" }, { "slug": "arpitbatra123-mcp-googletasks", "name": "arpitbatra123/mcp-googletasks", "vendor": "Various", "tagline": "This Model Context Protocol (MCP) server provides a bridge between LLMs and Google Tasks, allowing you to manage your task lists and tasks directly through Claude.", "description": "This MCP server bridges LLMs with Google Tasks using the Model Context Protocol. It allows Claude and other compatible models to read, create, and update tasks and task lists. The server is written in TypeScript and is available as an open source project on GitHub.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to manage Google Tasks through LLM-driven workflows", "useCases": [ "Managing Google Tasks directly from Claude conversations", "Automating task creation and updates via LLM prompts", "Listing and querying task lists programmatically through an LLM" ], "pros": [ "Open source with a clear integration pattern for MCP", "Written in TypeScript for type safety and modern tooling", "Enables natural language control of Google Tasks" ], "cons": [ "Low star count (42) indicates limited community adoption", "Requires Google Tasks API authentication setup", "Only works with LLMs that support the Model Context Protocol" ], "tags": [], "featured": false, "tier": "curated", "stars": 42, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/arpitbatra123/mcp-googletasks", "relations": { "works_in": [ "anthropic-computer-use" ], "uses": [], "built_with": [], "pairs_with": [ "eyaltoledano-claude-task-master" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/arpitbatra123-mcp-googletasks" }, { "slug": "arrismo-kaggle-mcp", "name": "arrismo/kaggle-mcp", "vendor": "Various", "tagline": "MCP server for Kaggle", "description": "A Python-based MCP server that exposes Kaggle API functionality as callable tools for AI agents. It enables language models to retrieve datasets, query competitions, and submit results through the Model Context Protocol. The server acts as a bridge between Kaggle's data science platform and agentic workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers automating Kaggle data science workflows through AI agents", "useCases": [ "Fetching Kaggle datasets for automated data analysis", "Submitting competition entries via AI assistants", "Querying competition leaderboards and metadata" ], "pros": [ "Simple setup for integrating Kaggle with MCP-based tools", "Open source with Python, easy to modify or extend", "Enables automation of common Kaggle tasks via LLMs" ], "cons": [ "Small community and limited documentation due to low star count", "Requires Kaggle API credentials and manual configuration", "May not cover all Kaggle features or handle rate limits gracefully" ], "tags": [ "kaggle", "mcp-server" ], "featured": false, "tier": "curated", "stars": 35, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/arrismo/kaggle-mcp", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/arrismo-kaggle-mcp" }, { "slug": "arthurpanhku-arthor-agent", "name": "arthurpanhku/Arthor-Agent", "vendor": "Various", "tagline": "MCP server for AI agent for cybersecurity: automate assessment of documents, questionnaires & reports. Multi-format parsing, RAG knowledge base,Risks, compliance gaps, remediations", "description": "Arthor-Agent is an MCP server for an AI agent that automates cybersecurity document assessment. It parses multiple formats and uses a RAG knowledge base to identify risks, compliance gaps, and remediations in questionnaires and reports.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Security teams automating document review and compliance checks", "useCases": [ "Automate security questionnaire responses", "Assess compliance documents for gaps", "Extract risks and remediations from reports" ], "pros": [ "Open source Python implementation on GitHub", "Multi-format parsing with RAG for context-aware analysis", "Directly addresses compliance and risk assessment workflows" ], "cons": [ "Low star count (90) indicates limited community adoption", "Requires setup of MCP server and knowledge base", "May need customization for specific regulatory frameworks" ], "tags": [ "ai-agent", "compliance", "document-parsing", "fastapi", "llm", "mcp", "ollama", "openai" ], "featured": false, "tier": "curated", "stars": 90, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/arthurpanhku/Arthor-Agent", "relations": { "works_in": [ "cursor", "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/arthurpanhku-arthor-agent" }, { "slug": "arthurpanhku-docsentinel", "name": "arthurpanhku/DocSentinel", "vendor": "Various", "tagline": "MCP server for AI agent for cybersecurity: automate assessment of documents, questionnaires & reports. Multi-format parsing, RAG knowledge base,Risks, compliance gaps, remediations", "description": "DocSentinel is an MCP server that enables AI agents to automate cybersecurity document assessment. It parses multiple document formats, builds a RAG knowledge base, and identifies risks, compliance gaps, and remediations.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Security teams automating document review workflows", "useCases": [ "Automate security questionnaire reviews", "Extract compliance gaps from policy documents", "Generate remediation recommendations from audit reports" ], "pros": [ "Multi-format document parsing", "Integrates with AI agents via MCP protocol", "Open source with Python codebase" ], "cons": [ "Limited community adoption (90 stars)", "Requires setup of MCP-compatible AI agent", "RAG knowledge base may need tuning for domain-specific documents" ], "tags": [ "ai-agent", "compliance", "document-parsing", "fastapi", "llm", "mcp", "ollama", "openai" ], "featured": false, "tier": "curated", "stars": 90, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/arthurpanhku/DocSentinel", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "microsoft-markitdown" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/arthurpanhku-docsentinel" }, { "slug": "arthurpanhku-dragonmcp", "name": "arthurpanhku/DragonMCP", "vendor": "Various", "tagline": "DragonMCP is a Model Context Protocol (MCP) server designed for AI Agents to interact with local life services in Greater China (Mainland China, HKSAR) and Asia. DragonMCP 是一个专为 AI", "description": "DragonMCP is a Model Context Protocol (MCP) server that enables AI agents to interact with local life services in Greater China and Asia. It provides standardized interfaces for services such as food delivery, transportation, and other regional utilities. Built in TypeScript, it allows developers to integrate these services into agent workflows using the MCP standard.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to interact with local services in China and Hong Kong", "useCases": [ "Connect AI agents to local food delivery and ride-hailing APIs in China and Hong Kong", "Enable AI assistants to book services or retrieve real-time local information", "Extend agent capabilities with region-specific service endpoints via MCP" ], "pros": [ "Focused on a specific region, offering tailored access to local services", "Uses the standard MCP protocol, making it compatible with many AI agent frameworks", "Open source and written in TypeScript, allowing for easy customization and contribution" ], "cons": [ "Limited community adoption with only 23 stars on GitHub", "Only covers Greater China and parts of Asia, not a global solution", "Requires self-hosting and ongoing maintenance to keep service integrations current" ], "tags": [ "ai-agents", "asia", "greatchina", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 23, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/arthurpanhku/DragonMCP", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "mediar-ai-screenpipe" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/arthurpanhku-dragonmcp" }, { "slug": "artmann-package-registry-mcp", "name": "artmann/package-registry-mcp", "vendor": "Various", "tagline": "MCP server for searching and getting up-to-date information about NPM, Cargo, PyPi, and NuGet packages.", "description": "A Model Context Protocol server that queries NPM, Cargo, PyPi, and NuGet registries for package details. It accepts package names and returns current metadata like version, description, and links.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using MCP-compatible assistants who need quick package registry lookups", "useCases": [ "Look up package versions and descriptions during development", "Verify package existence and metadata before adding dependencies", "Automate dependency checks in AI-assisted coding workflows" ], "pros": [ "Supports four major package registries in one tool", "Simple, focused functionality with no unnecessary features", "Written in TypeScript for type safety and easy integration" ], "cons": [ "Limited to read-only queries, no publish or update capabilities", "Depends on external registry APIs which may have rate limits", "Small community with only 38 stars, less battle-tested" ], "tags": [], "featured": false, "tier": "curated", "stars": 38, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-12-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/artmann/package-registry-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/artmann-package-registry-mcp" }, { "slug": "arvindand-maven-tools-mcp", "name": "arvindand/maven-tools-mcp", "vendor": "Various", "tagline": "MCP server providing AI assistants with Maven Central dependency intelligence for all JVM build tools (Maven, Gradle, SBT, Mill). Features Context7 integration for documentation su", "description": "A Model Context Protocol server that gives AI assistants access to Maven Central dependency data for JVM build tools including Maven, Gradle, SBT, and Mill. It integrates with Context7 to provide documentation support alongside dependency lookups.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using AI assistants that need real-time Maven Central dependency intelligence for JVM projects.", "useCases": [ "Resolving Maven coordinates and versions for JVM dependencies", "Fetching documentation for libraries via Context7 integration", "Automating dependency management tasks in AI-assisted development workflows" ], "pros": [ "Supports all major JVM build tools in one MCP server", "Integrates documentation lookup through Context7", "Lightweight Java implementation with 25 GitHub stars" ], "cons": [ "Limited community adoption and documentation due to low star count", "Requires a compatible MCP client to function", "Dependency on Context7 for documentation features may introduce external service dependencies" ], "tags": [ "ai-tools", "dependency-management", "developer-tools", "docker", "graalvm", "gradle", "java", "maven" ], "featured": false, "tier": "curated", "stars": 25, "language": [ "Java" ], "license": "MIT", "lastUpdated": "2026-05-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/arvindand/maven-tools-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "upstash-context7" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/arvindand-maven-tools-mcp" }, { "slug": "aryanbv-pdf-toolkit-mcp", "name": "AryanBV/pdf-toolkit-mcp", "vendor": "Various", "tagline": "Write-capable PDF toolkit for any MCP client: 22 tools to read, create, render, encrypt, and transform PDFs. Vision rendering for scans, form-preserving merge and split, AES-256, z", "description": "A write-capable PDF toolkit for any MCP client, offering 22 tools to read, create, render, encrypt, and transform PDFs. It supports vision rendering for scans, form-preserving merge and split, AES-256 encryption, and has zero native dependencies.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based workflows that need comprehensive PDF manipulation", "useCases": [ "Extract text and metadata from PDFs programmatically", "Generate new PDF documents with custom content", "Encrypt existing PDFs with AES-256 for secure distribution" ], "pros": [ "22 tools covering a wide range of PDF operations", "Zero native dependencies simplifies installation and deployment", "Includes strong encryption (AES-256) for sensitive documents" ], "cons": [ "Requires an MCP client to operate, limiting standalone use", "Focused solely on PDF manipulation, not a general-purpose tool", "May have higher latency due to MCP protocol overhead" ], "tags": [ "ai-tools", "claude", "mcp", "mcp-server", "model-context-protocol", "pdf", "pdf-generation", "pdf-lib" ], "featured": false, "tier": "curated", "stars": 6, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/AryanBV/pdf-toolkit-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "microsoft-markitdown" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/aryanbv-pdf-toolkit-mcp" }, { "slug": "ashev87-propstack-mcp", "name": "ashev87/propstack-mcp", "vendor": "Various", "tagline": "Connect AI assistants (Claude, ChatGPT) to Propstack real estate CRM via MCP", "description": "A Model Context Protocol (MCP) server that enables AI assistants like Claude and ChatGPT to access and interact with the Propstack real estate CRM. It is written in TypeScript and exposes CRM data and actions through the MCP standard.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Real estate professionals using Propstack who want AI assistant integration", "useCases": [ "Query property listings from Propstack via natural language", "Update contact records in Propstack through AI chat", "Automate real estate CRM workflows using AI assistant integration" ], "pros": [ "Direct integration with Propstack CRM via MCP", "Open source and written in TypeScript for easy modification", "Provides a standardized interface for multiple AI assistants" ], "cons": [ "Requires a Propstack account and API credentials to use", "Low community adoption with only 5 GitHub stars", "Limited documentation and example usage beyond the repository" ], "tags": [ "ai", "crm", "immobilien", "mcp", "propstack", "real-estate", "real-estate-crm", "real-estate-crm-data-enrichment" ], "featured": false, "tier": "curated", "stars": 5, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/ashev87/propstack-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ashev87-propstack-mcp" }, { "slug": "ashlrai-webfetch", "name": "ashlrai/webfetch", "vendor": "Various", "tagline": "The license-first image layer for AI agents and humans. 24 federated providers · CC0/CC-BY/PD-first · MCP native · Chrome extension · Python + TS SDKs.", "description": "Webfetch is a license-first image layer for AI agents and humans. It aggregates 24 federated image providers with a preference for CC0, CC-BY, and public domain licenses, and offers MCP native integration, a Chrome extension, and Python plus TypeScript SDKs.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or tools that need legally safe image sourcing", "useCases": [ "Fetching license-compliant images for AI training datasets", "Integrating image search into agent workflows via MCP", "Building browser extensions or apps that require attribution-ready media" ], "pros": [ "License-first approach reduces legal risk for image use", "Federated providers offer broad coverage without vendor lock-in", "MCP native support simplifies agent integration" ], "cons": [ "Small community with only 2 stars on GitHub", "Limited to image content, not general web fetching", "Dependence on federated providers may affect reliability" ], "tags": [ "ai", "ai-agents", "attribution", "bun", "chrome-extension", "cli", "cloudflare-workers", "creative-commons" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/ashlrai/webfetch", "relations": { "works_in": [ "cline", "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ashlrai-webfetch" }, { "slug": "asif-nvc-e2b-sandbox-mcp", "name": "asif-nvc/e2b-sandbox-mcp", "vendor": "Various", "tagline": "MCP server connecting Claude Code with E2B cloud sandboxes for working on any GitHub repo", "description": "This MCP server connects Claude Code to E2B cloud sandboxes, enabling code execution and testing from any GitHub repository. It uses the Model Context Protocol to let Claude Code interact with sandboxed environments for development tasks.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude Code who need isolated sandbox environments for GitHub repos", "useCases": [ "Running code from GitHub repos in isolated cloud sandboxes", "Testing changes without setting up a local environment", "Integrating Claude Code with remote development environments" ], "pros": [ "Enables Claude Code to work with any GitHub repo in a sandbox", "Open source TypeScript codebase for customization", "Leverages E2B's cloud infrastructure for isolation" ], "cons": [ "Very early stage with only 1 star and low community adoption", "Depends on E2B service which may have usage limits or costs", "Limited documentation and support available" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/asif-nvc/e2b-sandbox-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/asif-nvc-e2b-sandbox-mcp" }, { "slug": "askbudi-roundtable", "name": "askbudi/roundtable", "vendor": "Various", "tagline": "Zero-configuration MCP server that unifies multiple AI coding assistants (Codex, Claude Code, Cursor, Gemini) through intelligent auto-discovery and standardized interface", "description": "A zero-configuration MCP server that unifies multiple AI coding assistants including Codex, Claude Code, Cursor, and Gemini. It uses intelligent auto-discovery to connect these tools through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want a unified interface for multiple AI coding assistants", "useCases": [ "Connect multiple AI coding assistants to a single MCP server", "Automatically discover and integrate AI tools without manual configuration", "Standardize interactions with different AI coding assistants" ], "pros": [ "Zero configuration reduces setup time", "Supports multiple popular AI coding assistants", "Auto-discovery simplifies integration" ], "cons": [ "Limited to MCP protocol compatibility", "May not support all features of each assistant", "Relatively new project with a small community" ], "tags": [ "claude-code", "cursor", "gemini-cli", "mcp-server", "openai-codex", "vibe-coding" ], "featured": false, "tier": "curated", "stars": 114, "language": [ "Python" ], "lastUpdated": "2025-10-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/askbudi/roundtable", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "claude-code", "cursor" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/askbudi-roundtable" }, { "slug": "asmith26-jupytercad-mcp", "name": "asmith26/jupytercad-mcp", "vendor": "Various", "tagline": "An MCP server for JupyterCAD that allows you to control it using LLMs/natural language.", "description": "asmith26/jupytercad-mcp is an MCP server that enables natural language control of JupyterCAD through large language models. It acts as a bridge between LLMs and JupyterCAD, allowing users to issue CAD commands via conversational prompts.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring LLM-controlled CAD workflows in Jupyter environments", "useCases": [ "Controlling JupyterCAD operations through natural language chat", "Automating repetitive design steps with LLM-driven instructions", "Integrating LLM-based assistants into JupyterCAD workflows" ], "pros": [ "Open source and written in Python, easy to inspect and extend", "Directly integrates with JupyterCAD for a seamless experience", "Enables novel interaction patterns for CAD design" ], "cons": [ "Low star count (18) suggests limited community adoption and testing", "Early-stage project with potentially incomplete or unstable features", "Dependence on external LLMs adds latency and cost" ], "tags": [ "cad", "computer-aided-design", "jupytercad", "jupyterlab", "mcp" ], "featured": false, "tier": "curated", "stars": 18, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2025-10-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/asmith26/jupytercad-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/asmith26-jupytercad-mcp" }, { "slug": "astandrik-codex-pets", "name": "astandrik/codex-pets", "vendor": "Various", "tagline": "astandrik/codex-pets — indexed from awesome-mcp-servers-punkpeye", "description": "A TypeScript MCP server that exposes pet-related data for use with AI assistants. It is indexed from an open-source collection of MCP servers.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring MCP server integrations with a simple pet data example", "useCases": [ "Retrieving pet facts or characteristics in AI chat sessions", "Integrating pet-related knowledge into coding assistants", "Building demo or prototype MCP clients with pet data" ], "pros": [ "Written in TypeScript for type safety", "Ready to use as an MCP server with minimal setup", "Part of a larger catalog of MCP servers" ], "cons": [ "Very low stars and potentially limited community support", "No explicit documentation beyond the repository description", "Functionality may be narrowly scoped to sample data" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/astandrik/codex-pets", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/astandrik-codex-pets" }, { "slug": "astandrik-local-ydb-toolkit", "name": "astandrik/local-ydb-toolkit", "vendor": "Various", "tagline": "Unofficial Codex skill and MCP server for operating Docker-based local-ydb deployments.", "description": "This is a Codex skill and MCP server that helps developers manage local YDB database instances running in Docker. It provides tools to start, stop, and inspect local YDB deployments directly from an editor or terminal.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need quick, editor-integrated management of local YDB databases in Docker.", "useCases": [ "Spin up a local YDB instance for development and testing", "Stop and restart YDB containers without leaving the editor", "Check the status and configuration of running YDB deployments" ], "pros": [ "Streamlines local YDB workflow with editor integration", "Leverages Docker for consistent, repeatable environments", "Lightweight TypeScript codebase easy to extend" ], "cons": [ "Low community adoption with only 2 stars", "Unofficial, limited documentation and support", "Requires Docker and familiarity with YDB setup" ], "tags": [ "codex", "docker", "local-ydb", "mcp", "model-context-protocol", "operations", "skill", "ydb" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/astandrik/local-ydb-toolkit", "relations": { "works_in": [], "uses": [ "docker" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/astandrik-local-ydb-toolkit" }, { "slug": "asterpay-mcp-server", "name": "@asterpay/mcp-server", "vendor": "Various", "tagline": "@asterpay/mcp-server — indexed from awesome-mcp-servers-punkpeye", "description": "@asterpay/mcp-server is an MCP (Model Context Protocol) server for integrating Asterpay payment services. It enables MCP-compatible clients to initiate payments, check transaction statuses, and manage payouts through the Asterpay API. The server is indexed as part of the awesome-mcp-servers collection and is hosted on GitHub.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing to add Asterpay payment capabilities to MCP-compatible agents or tools", "useCases": [ "Process payments from an MCP-compatible client using Asterpay", "Query transaction statuses and retrieve payment history", "Automate payout workflows via the Asterpay API" ], "pros": [ "Open source and community-maintained", "Leverages MCP for standardized integration", "Directly connects to Asterpay's payment infrastructure" ], "cons": [ "Requires an Asterpay merchant account to use", "Limited documentation beyond the repository README", "Dependent on the stability of the Asterpay API" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/timolein74/asterpay-mcp-server", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/asterpay-mcp-server" }, { "slug": "atars-mcp", "name": "aTars MCP", "vendor": "ai.aarna", "tagline": "Crypto market signals, technical indicators, and sentiment analysis for AI agents.", "description": "aTars MCP provides crypto market signals, technical indicators, and sentiment analysis as a data source for AI agents via the Model Context Protocol. It enables agents to access real-time trading metrics and sentiment scores without custom API integrations.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need structured crypto market data for automated trading or analysis.", "useCases": [ "Enabling AI trading bots to react to market signals", "Augmenting agent reasoning with technical indicator data", "Incorporating sentiment analysis into crypto portfolio decisions" ], "pros": [ "Pre-built crypto data pipeline for AI agents", "Combines multiple data types (price, indicators, sentiment) in one tool", "Reduces development time for integrating crypto market data" ], "cons": [ "Limited to crypto markets only", "Effectiveness depends on quality of underlying data sources", "May require additional agent logic to interpret signals correctly" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://mcp.aarna.ai/mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "pydantic-pydantic-ai-mcp-run-python" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/atars-mcp" }, { "slug": "atlasprzetargow-mcp-server", "name": "atlasprzetargow/mcp-server", "vendor": "Various", "tagline": "Official MCP server for Atlas Przetargów — search 800 000+ Polish public tenders (BZP + TED) from any AI client.", "description": "An official MCP server that enables any AI client to search over 800,000 Polish public tenders from BZP and TED. It provides a standardized interface for querying procurement data without custom integrations.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI tools for Polish public procurement monitoring", "useCases": [ "Search Polish public tenders from an AI assistant or chatbot", "Integrate tender discovery into automated procurement workflows", "Monitor new tender opportunities via AI-driven alerts" ], "pros": [ "Access to a large database of 800,000+ tenders from official sources", "Works with any MCP-compatible AI client out of the box", "Maintained by the Atlas Przetargów team, ensuring data accuracy" ], "cons": [ "Limited to Polish public tenders only (BZP and TED)", "Zero GitHub stars suggests early-stage or low adoption", "Requires an MCP-compatible client to be useful" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/atlasprzetargow/mcp-server", "relations": { "works_in": [ "cursor", "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/atlasprzetargow-mcp-server" }, { "slug": "atmospore-atmospore-mcp", "name": "atmospore/atmospore-mcp", "vendor": "Various", "tagline": "MCP (Model Context Protocol) server for Atmospore — pollen forecast tools for Claude and other AI assistants.", "description": "An MCP server that provides pollen forecast data to AI assistants like Claude. It exposes real-time pollen levels and forecasts through the Model Context Protocol, allowing agents to answer allergy-related queries.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need real-time pollen information for allergy-aware responses.", "useCases": [ "Query current pollen counts for a specific location", "Get pollen forecast data for planning outdoor activities", "Integrate allergy alerts into AI assistant responses" ], "pros": [ "Simple MCP interface works with any compatible AI client", "Provides specialized environmental data not in general knowledge", "Lightweight Python server easy to self-host" ], "cons": [ "Zero stars and no community adoption yet", "Limited to pollen data only, no other air quality metrics", "Requires running a separate server process" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-03", "addedAt": "2026-06-01", "officialLink": "https://github.com/atmospore/atmospore-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/atmospore-atmospore-mcp" }, { "slug": "atomicchonk-roadrecon-mcp-server", "name": "atomicchonk/roadrecon_mcp_server", "vendor": "Various", "tagline": "Claude MCP server to perform analysis on ROADrecon data", "description": "A Claude MCP server that analyzes ROADrecon data, enabling security assessments of Azure Active Directory environments. It processes ROADrecon's SQLite database output to surface misconfigurations and attack paths through natural language queries.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Security researchers and red teamers analyzing Azure AD environments", "useCases": [ "Query Azure AD tenant configurations for security gaps", "Identify privilege escalation paths from ROADrecon data", "Automate post-exploitation analysis of Azure AD environments" ], "pros": [ "Integrates directly with Claude for conversational analysis", "Leverages ROADrecon's comprehensive Azure AD reconnaissance data", "Open source with Python codebase for customization" ], "cons": [ "Requires prior ROADrecon data collection to function", "Limited to analysis of already-gathered reconnaissance data", "Small community with only 50 GitHub stars" ], "tags": [], "featured": false, "tier": "curated", "stars": 50, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-03-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/atomicchonk/roadrecon_mcp_server", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/atomicchonk-roadrecon-mcp-server" }, { "slug": "atomno-labs-mcp-cbr-rates", "name": "atomno-labs/mcp-cbr-rates", "vendor": "Various", "tagline": "MCP server for Central Bank of Russia rates, key rate, inflation and macro stats", "description": "An MCP server that provides access to Central Bank of Russia exchange rates, key rate, inflation, and macroeconomic statistics. It exposes these data points through the Model Context Protocol for use with AI agents and assistants.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need Russian economic data", "useCases": [ "Fetch current and historical CBR exchange rates for financial analysis", "Retrieve key rate and inflation data for economic modeling", "Integrate Russian macroeconomic indicators into AI-driven dashboards" ], "pros": [ "Direct access to official CBR data without scraping", "Simple MCP interface for easy integration with AI tools", "Covers multiple macro indicators in one server" ], "cons": [ "Limited to Russian central bank data only", "Very low community adoption (1 star) suggests minimal testing or support", "Requires MCP-compatible client to use" ], "tags": [ "cbr", "central-bank-of-russia", "exchange-rates", "fintech", "httpx", "mcp", "model-context-protocol", "python" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/atomno-labs/mcp-cbr-rates", "relations": { "works_in": [ "anthropic-computer-use", "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/atomno-labs-mcp-cbr-rates" }, { "slug": "atomno-labs-mcp-egrul", "name": "atomno-labs/mcp-egrul", "vendor": "Various", "tagline": "MCP server for Russian EGRUL/EGRIP lookups via FNS open-data — open self-host (MIT) + hosted Pro tier (closed beta)", "description": "An MCP server that provides access to Russian EGRUL/EGRIP business registry data via FNS open-data APIs. It offers an open-source self-hosted version (MIT license) and a hosted Pro tier currently in closed beta.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers integrating Russian business registry lookups into MCP-based agents or tools", "useCases": [ "Look up Russian company registration details in MCP-compatible assistants", "Automate counterparty verification using official registry records", "Integrate Russian business data into agent workflows or internal tools" ], "pros": [ "Self-hostable with MIT license for full control", "Works with standard MCP clients out of the box", "Hosted Pro tier reduces infrastructure overhead (when available)" ], "cons": [ "Currently limited to Russian EGRUL/EGRIP registries only", "Low star count (1) suggests early development or low adoption", "Pro tier is in closed beta, not widely accessible yet" ], "tags": [ "b2b", "counterparty", "due-diligence", "egrul", "fns", "kyc", "mcp", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/atomno-labs/mcp-egrul", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/atomno-labs-mcp-egrul" }, { "slug": "atomno-labs-mcp-fns-check", "name": "atomno-labs/mcp-fns-check", "vendor": "Various", "tagline": "MCP server for checking RU counterparties via FNS open data (EGRUL/EGRIP, EFRSB, KAD, FSSP)", "description": "An MCP server that queries Russian Federal Tax Service (FNS) open data to verify counterparties. It checks EGRUL/EGRIP, EFRSB, KAD, and FSSP databases for legal entity and individual entrepreneur status, bankruptcy filings, arbitration cases, and enforcement proceedings.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building compliance or due diligence tools for Russian business verification", "useCases": [ "Verify a Russian counterparty's legal registration and tax status", "Check for bankruptcy or enforcement proceedings against a business", "Look up arbitration cases linked to a specific INN or OGRN" ], "pros": [ "Direct access to official FNS open data without scraping", "Covers multiple registries in one MCP server", "Python-based, easy to integrate with existing MCP clients" ], "cons": [ "Limited to Russian counterparty data only", "Depends on FNS API availability and data freshness", "Low community adoption (3 stars) may indicate limited testing" ], "tags": [ "claude", "compliance", "cursor", "due-diligence", "egrul", "fns", "kyc", "mcp" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/atomno-labs/mcp-fns-check", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/atomno-labs-mcp-fns-check" }, { "slug": "attalla1-photopea-mcp-server", "name": "attalla1/photopea-mcp-server", "vendor": "Various", "tagline": "MCP server for AI-driven image editing with Photopea", "description": "An MCP server that exposes Photopea's image editing capabilities to AI agents via the Model Context Protocol. It allows AI tools to programmatically edit images using Photopea's browser-based editor.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to add image editing to AI agent workflows using a free browser-based editor", "useCases": [ "Automating batch image edits like resizing or cropping", "Integrating AI-driven image manipulation into workflows", "Building custom image processing pipelines with Photopea" ], "pros": [ "Leverages Photopea's powerful free editor without local installs", "Simple MCP interface for AI agent integration", "TypeScript codebase for easy extension" ], "cons": [ "Low community adoption with only 15 stars", "Depends on Photopea's web service availability", "Limited documentation and examples" ], "tags": [ "ai", "claude", "cursor", "image-editing", "mcp", "mcp-server", "model-context-protocol", "photopea" ], "featured": false, "tier": "curated", "stars": 15, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/attalla1/photopea-mcp-server", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/attalla1-photopea-mcp-server" }, { "slug": "auctalis-nocturnusai", "name": "Auctalis/nocturnusai", "vendor": "Various", "tagline": "Verified knowledge for AI agents. Compress context, extract and store facts, define rules, and ask questions — get deterministic answers with proof, not LLM guesses. Connect agents", "description": "Auctalis/nocturnusai provides verified knowledge for AI agents. It compresses context, extracts and stores facts, and lets users define rules and ask questions. Answers are deterministic with proof, not LLM guesses. Agents connect via MCP, Python SDK, or TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need verifiable, rule-based knowledge retrieval", "useCases": [ "Compressing context for AI agents to reduce token usage", "Extracting and storing facts from data for reliable retrieval", "Defining rules to get deterministic answers with proof" ], "pros": [ "Deterministic answers with proof, reducing reliance on LLM guesses", "Supports multiple integration methods (MCP, Python SDK, TypeScript)", "Compresses context to improve efficiency" ], "cons": [ "Low community adoption (2 stars on GitHub)", "Kotlin codebase may be unfamiliar to many developers", "Requires manual rule definition, limiting flexibility for open-ended queries" ], "tags": [ "agentic-ai", "agents", "ai-agents", "ai-memory", "backward-chaining", "context-engineering", "cost-optimization", "inference-engine" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "Kotlin" ], "lastUpdated": "2026-04-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/Auctalis/nocturnusai", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "topoteretes-cognee" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/auctalis-nocturnusai" }, { "slug": "augmnt-augments-mcp-server", "name": "augmnt/augments-mcp-server", "vendor": "Various", "tagline": "Comprehensive MCP server providing real-time framework documentation access for Claude Code with intelligent caching, multi-source integration, and context-aware assistance.", "description": "An MCP server that delivers real-time framework documentation to Claude Code. It uses intelligent caching and pulls from multiple documentation sources to provide context-aware assistance without leaving the coding environment.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude Code who need quick, multi-source framework documentation.", "useCases": [ "Retrieving framework documentation while coding in Claude Code", "Querying multiple documentation sources from a single interface", "Getting context-aware help for framework-specific questions" ], "pros": [ "Reduces latency with intelligent caching of documentation", "Integrates multiple documentation sources into one server", "Works directly within Claude Code for seamless workflow" ], "cons": [ "Limited to MCP-compatible clients", "Requires per-project configuration for custom or non-standard frameworks", "May not cover all documentation or versions without manual updates" ], "tags": [ "ai-tools", "async", "caching", "claude-code", "developer-tools", "framework", "mcp", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 122, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/augmnt/augments-mcp-server", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/augmnt-augments-mcp-server" }, { "slug": "austenstone-myinstants-mcp", "name": "austenstone/myinstants-mcp", "vendor": "Various", "tagline": "MCP server that lets your ai agent press sound buttons. it's not that deep.", "description": "An MCP server that enables AI agents to trigger sound buttons from MyInstants. It provides a simple interface for playing audio effects programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building playful or audio-enhanced AI agent interactions", "useCases": [ "Add sound effects to AI chatbot responses", "Trigger audio cues in voice-based applications", "Integrate with automation workflows for auditory feedback" ], "pros": [ "Lightweight and easy to set up", "Straightforward API for sound playback", "Works with any MCP-compatible client" ], "cons": [ "Limited to sounds available on MyInstants", "Requires internet access to fetch audio", "Niche use case with limited practical applications" ], "tags": [ "ai", "ai-agents", "mcp", "mcp-server", "memes", "soundboard" ], "featured": false, "tier": "curated", "stars": 10, "language": [ "JavaScript" ], "lastUpdated": "2026-03-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/austenstone/myinstants-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "executeautomation-playwright-mcp-server", "wonderwhy-er-desktopcommandermcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/austenstone-myinstants-mcp" }, { "slug": "automatalabs-mcp-server-playwright", "name": "automatalabs/mcp-server-playwright", "vendor": "Various", "tagline": "MCP server for browser automation using Playwright", "description": "An MCP server that wraps Playwright for browser automation. It enables AI agents to interact with web pages programmatically through the Model Context Protocol. Built in JavaScript, it provides a standardized interface for controlling a headless browser.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers integrating browser automation into AI agent workflows", "useCases": [ "Automating web scraping tasks", "Running browser-based tests via AI agents", "Interacting with web applications programmatically" ], "pros": [ "Leverages Playwright's reliable browser automation capabilities", "MCP integration allows easy use with AI systems", "Open source with community support" ], "cons": [ "Requires a running browser instance, increasing resource usage", "Limited to browser automation; no native support for other protocols", "May have latency overhead from MCP communication" ], "tags": [], "featured": false, "tier": "curated", "stars": 294, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2025-06-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/Automata-Labs-team/MCP-Server-Playwright", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "executeautomation-playwright-mcp-server", "agent-infra-mcp-server-browser", "browsermcp-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/automatalabs-mcp-server-playwright" }, { "slug": "automatelab-tech-citation-intelligence", "name": "AutomateLab-tech/citation-intelligence", "vendor": "Various", "tagline": "MCP server for measuring LLM citation visibility across Perplexity, Claude, ChatGPT, Gemini, Bing, and Google AI Overviews. 12 tools, BYO keys, self-hosted, no telemetry.", "description": "An MCP server that measures how often LLMs cite sources across Perplexity, Claude, ChatGPT, Gemini, Bing, and Google AI Overviews. It provides 12 tools for querying citation visibility, requires users to bring their own API keys, and is self-hosted with no telemetry.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and SEO teams who need to programmatically track AI citation visibility across multiple platforms.", "useCases": [ "Audit which AI platforms cite your content or brand", "Compare citation rates across multiple LLM search tools", "Integrate citation tracking into automated reporting pipelines" ], "pros": [ "Self-hosted with no telemetry for privacy control", "Covers six major AI search platforms in one tool", "TypeScript codebase with clear MCP protocol support" ], "cons": [ "Requires separate API keys for each platform tested", "No pre-built dashboards or visualization", "Zero community adoption or stars at launch" ], "tags": [ "aeo", "ai-citation", "ai-overview", "chatgpt", "claude-code-plugin", "gemini", "geo", "llm-visibility" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/AutomateLab-tech/citation-intelligence", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "browsermcp-mcp", "exa-labs-exa-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/automatelab-tech-citation-intelligence" }, { "slug": "automatelab-tech-content-distribution-mcp", "name": "AutomateLab-tech/content-distribution-mcp", "vendor": "Various", "tagline": "Multi-channel content distribution MCP server with idempotent state. Auto-publish to DEV.to, Hashnode, GitHub Discussions, Reddit, Bluesky; browser-fallback for Medium, LinkedIn, X", "description": "An MCP server that distributes content across multiple platforms with idempotent state. It automatically publishes to DEV.to, Hashnode, GitHub Discussions, Reddit, and Bluesky, and uses a browser-based fallback for Medium, LinkedIn, X, and Twitter.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Content creators and developers who need to publish the same article across multiple developer communities and social platforms.", "useCases": [ "Publishing blog posts to multiple developer communities simultaneously", "Automating cross-posting from a single source to several platforms", "Managing idempotent content distribution to prevent duplicate posts" ], "pros": [ "Covers a broad set of developer-focused and social platforms", "Idempotent state ensures safe retries and no duplicates", "Open source TypeScript implementation" ], "cons": [ "No stars on GitHub, indicating a new or unproven project", "Browser fallback for some platforms requires manual interaction", "Limited to the listed platforms without plugin or extensibility mentioned" ], "tags": [ "ai-agents", "automation", "bluesky", "claude-code-plugin", "content-distribution", "devto", "github-discussions", "hashnode" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/AutomateLab-tech/content-distribution-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "browsermcp-mcp", "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/automatelab-tech-content-distribution-mcp" }, { "slug": "automateyournetwork-pyats-mcp", "name": "automateyournetwork/pyATS_MCP", "vendor": "Various", "tagline": "An MCP Server for pyATS (experimental)", "description": "An experimental MCP Server for pyATS, the Cisco test automation framework. It exposes pyATS test results and device interactions as MCP (Model Context Protocol) resources and tools, allowing MCP clients to query network device states and test outcomes.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Network automation engineers already using pyATS who want to expose device and test data to MCP-enabled AI agents", "useCases": [ "Retrieving device configurations and operational data from pyATS testbed definitions", "Triggering pyATS test jobs and fetching pass/fail results via MCP client requests", "Integrating pyATS network state information into AI-assisted troubleshooting workflows" ], "pros": [ "Bridges pyATS network automation with MCP-compatible tools like AI assistants", "Leverages existing pyATS testbeds and libraries without additional configuration", "Lightweight Python implementation suitable for custom extension" ], "cons": [ "Experimental status means limited stability and documentation", "Small community (74 stars) indicates narrower adoption and fewer examples", "Requires familiarity with both pyATS and the MCP protocol" ], "tags": [], "featured": false, "tier": "curated", "stars": 74, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/automateyournetwork/pyATS_MCP", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/automateyournetwork-pyats-mcp" }, { "slug": "automation-ai-labs-mcp-link", "name": "automation-ai-labs/mcp-link", "vendor": "Various", "tagline": "Convert Any OpenAPI V3 API to MCP Server", "description": "A Go-based tool that converts OpenAPI V3 specifications into MCP servers. It reads an OpenAPI spec and generates a server that exposes the underlying APIs through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing to quickly bridge existing REST APIs into the Model Context Protocol ecosystem", "useCases": [ "Turn existing REST APIs into MCP servers for AI agent integration", "Rapidly prototype MCP endpoints from standardized API descriptions", "Enable MCP-compatible clients to call OpenAPI-defined services" ], "pros": [ "Uses OpenAPI V3 specs as the single source of truth, reducing manual setup", "Written in Go, offering good performance and easy binary distribution", "Open source with a growing community (609 stars) for potential contributions" ], "cons": [ "Limited to OpenAPI V3 inputs, excluding Swagger 2.0 or other formats", "May not handle complex API behaviors or non-standard OpenAPI extensions", "Requires familiarity with both OpenAPI and MCP protocols to debug or customize" ], "tags": [ "agents", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 609, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2025-04-03", "addedAt": "2026-06-01", "officialLink": "https://github.com/automation-ai-labs/mcp-link", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "awslabs-mcp", "fastmcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/automation-ai-labs-mcp-link" }, { "slug": "autonomad1-autonomad-travel", "name": "Autonomad1/autonomad-travel", "vendor": "Various", "tagline": "MCP server for Claude / ChatGPT / any MCP client — search live flights, hotels, activities, and events worldwide, then book on autonomad.ai", "description": "Autonomad1/autonomad-travel is an MCP server that lets Claude, ChatGPT, or any MCP client search live flights, hotels, activities, and events worldwide. It connects to the autonomad.ai booking platform to complete reservations directly from the chat interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building travel booking agents or assistants that need live search and reservation capabilities", "useCases": [ "Search and compare live flight options for a trip", "Find and book hotels or activities through a chat agent", "Look up events at a destination and reserve tickets" ], "pros": [ "Works with multiple MCP clients including Claude and ChatGPT", "Provides live, real-time travel data for accurate results", "Enables end-to-end booking without leaving the chat" ], "cons": [ "Requires an autonomad.ai account to complete bookings", "Limited to destinations and inventory available on autonomad.ai", "No offline or cached data; always depends on live API calls" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/Autonomad1/autonomad-travel", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "rocketride-org-rocketride-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/autonomad1-autonomad-travel" }, { "slug": "autonsol-sol-mcp", "name": "autonsol/sol-mcp", "vendor": "Various", "tagline": "MCP server for Solana token risk scoring and momentum signals", "description": "A Model Context Protocol server that provides Solana token risk scoring and momentum signals. It exposes tools for developers to assess token safety and market momentum through a standardized MCP interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building Solana-focused AI agents or trading tools that need quick token risk and momentum data", "useCases": [ "Integrate token risk checks into a Solana trading bot", "Query momentum signals for Solana tokens from an AI agent", "Build a dashboard that combines risk scores with on-chain data" ], "pros": [ "Leverages MCP for easy integration with AI agents and tools", "Focuses on both risk and momentum in one server", "Lightweight JavaScript implementation" ], "cons": [ "Zero stars and no community traction yet", "Limited documentation or examples available", "Unclear data sources and update frequency" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/autonsol/sol-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/autonsol-sol-mcp" }, { "slug": "avansaber-tailtest-cline", "name": "avansaber/tailtest-cline", "vendor": "Various", "tagline": "tailtest for Cline: MCP server + .clinerules pack + Memory Bank integration. Reaches 8+ editors via Cline. Adversarial test mode shipped from day one.", "description": "An MCP server paired with a .clinerules pack and Memory Bank integration for the Cline editor ecosystem. It extends Cline's capabilities to reach 8+ editors and includes adversarial test mode from its initial release.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who already use Cline and need a structured, multi-editor test harness with adversarial capabilities.", "useCases": [ "Run adversarial tests against code via Cline's editor integration", "Combine MCP server rules with Memory Bank for contextual testing", "Standardize test workflows across multiple editors using Cline" ], "pros": [ "Works with 8+ editors through Cline's integration layer", "Adversarial testing is built in from day one", "Leverages Memory Bank for persistent test context" ], "cons": [ "Requires Cline ecosystem, limiting standalone use", "Zero stars indicates early adoption and limited community validation", "Minimal documentation beyond the repository description" ], "tags": [ "ai", "ai-coding", "automated-testing", "cline", "code-quality", "mcp", "mcp-server", "python" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/avansaber/tailtest-cline", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/avansaber-tailtest-cline" }, { "slug": "avisangle-calculator-server", "name": "avisangle/calculator-server", "vendor": "Various", "tagline": "A comprehensive Go-based MCP server for mathematical computations with 13+ tools", "description": "A Go-based MCP server that exposes 13+ mathematical computation tools for use by AI agents. It wraps common math operations into a standardized interface, allowing language models to perform calculations through tool calls.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based AI agents that need reliable server-side math capabilities", "useCases": [ "Offloading arithmetic and algebraic calculations from an LLM to a dedicated server", "Enabling precise numeric computations in agentic workflows", "Providing a consistent math API for MCP-compatible clients" ], "pros": [ "Written in Go for performance and low resource usage", "Offers a broad set of math tools beyond basic arithmetic", "Simple MCP integration for existing AI agent frameworks" ], "cons": [ "Small community with only 6 GitHub stars, limited support", "Requires Go runtime and build tooling to deploy", "No built-in authentication or access controls" ], "tags": [ "calculator", "calculator-mcp", "mcp", "mcp-calculator", "mcp-calculator-server", "mcp-server", "mcp-servers", "portfolio-project" ], "featured": false, "tier": "curated", "stars": 6, "language": [ "Go" ], "lastUpdated": "2025-09-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/avisangle/calculator-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "haris-musa-excel-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/avisangle-calculator-server" }, { "slug": "avisangle-method-crm-mcp", "name": "avisangle/method-crm-mcp", "vendor": "Various", "tagline": "Production-ready Model Context Protocol (MCP) server for Method CRM API integration. Enables LLMs to interact with Method CRM through 20 comprehensive tools.", "description": "A production-ready Model Context Protocol (MCP) server that connects LLMs to the Method CRM API. It exposes 20 tools for reading and writing CRM data, enabling automated workflows through natural language commands.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need direct, tool-driven access to Method CRM data", "useCases": [ "Automate contact and account updates in Method CRM via chat", "Query deal stages and pipeline data without manual UI navigation", "Trigger CRM actions from AI assistants or custom agents" ], "pros": [ "Provides a comprehensive set of 20 tools for full CRM interaction", "Built on the standard MCP protocol for easy integration with LLMs", "Written in Python, making it accessible for most developers" ], "cons": [ "Low community adoption (only 2 stars) suggests limited testing or support", "Requires a Method CRM account and API credentials to use", "No documentation or examples beyond the repository description" ], "tags": [ "api-integration", "fastmcp", "mcp", "method-crm", "model-context-protocol", "python" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-11-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/avisangle/method-crm-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "sooperset-mcp-atlassian", "idosal-git-mcp", "elie222-inbox-zero" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/avisangle-method-crm-mcp" }, { "slug": "avisangle-jenkins-mcp-server", "name": "avisangle/jenkins-mcp-server", "vendor": "Various", "tagline": "An MCP server for interacting with a Jenkins server. Allows you to trigger jobs, check build statuses, and manage your Jenkins instance through MCP.", "description": "An MCP server that connects AI agents to a Jenkins instance. It enables triggering jobs, checking build statuses, and managing Jenkins operations through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to control Jenkins pipelines through an AI agent", "useCases": [ "Trigger Jenkins jobs from an AI assistant", "Check build status and logs without opening the Jenkins UI", "Automate CI/CD workflows via natural language commands" ], "pros": [ "Simple Python implementation easy to extend", "Direct integration with Jenkins for common operations", "Works with any MCP-compatible client" ], "cons": [ "Very early stage with only 2 GitHub stars", "Limited to basic job triggering and status checks", "Requires manual setup and Jenkins API credentials" ], "tags": [ "claude", "claude-code", "jenkins", "jenkins-mcp", "jenkins-mcp-server", "mcp", "mcp-jenkins", "mcp-server" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "lastUpdated": "2026-02-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/avisangle/jenkins-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/avisangle-jenkins-mcp-server" }, { "slug": "avivsinai-langfuse-mcp", "name": "avivsinai/langfuse-mcp", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server for Langfuse, enabling AI agents to query Langfuse trace data for enhanced debugging and observability", "description": "An MCP server that lets AI agents query Langfuse trace data. It provides a standardized interface for agents to access observability information, aiding in debugging and performance analysis.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Langfuse who want to give their AI agents direct access to trace data for debugging", "useCases": [ "Debugging AI agent behavior by querying Langfuse traces", "Integrating Langfuse observability with MCP-compatible agent frameworks", "Automating trace analysis through agent-driven requests" ], "pros": [ "Lightweight Python implementation with clear MCP protocol adherence", "Directly extends Langfuse's observability to AI agents without custom tooling", "Open source and easy to customize or extend" ], "cons": [ "Requires a running Langfuse instance and API access", "Limited to Langfuse trace data only, not a general observability bridge", "Relatively low adoption (92 stars) may indicate fewer community contributions" ], "tags": [ "agent-skills", "ai-agents", "claude-code", "codex", "developer-tools", "genai", "langfuse", "llm" ], "featured": false, "tier": "curated", "stars": 92, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/avivsinai/langfuse-mcp", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/avivsinai-langfuse-mcp" }, { "slug": "awkoy-replicate-flux-mcp", "name": "awkoy/replicate-flux-mcp", "vendor": "Various", "tagline": "MCP for Replicate Flux Model - A powerful tool for generating customized images and SVG assets that match specific coding vibes and aesthetic styles. Streamline your visual asset c", "description": "This is a Model Context Protocol (MCP) server that provides access to the Replicate Flux model for generating images and SVG assets. It allows developers to create visual assets directly from code by integrating the Flux model into their MCP-compatible tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to automate image and SVG creation within their development tools or pipelines.", "useCases": [ "Generating custom images for apps or websites", "Creating SVG icons or illustrations programmatically", "Integrating AI image generation into development workflows" ], "pros": [ "Simple to integrate via the MCP standard", "Leverages the Replicate Flux model for high-quality outputs", "Written in TypeScript, easy to use in JavaScript/TypeScript projects" ], "cons": [ "Requires a Replicate API key and incurs usage costs", "Limited to the capabilities of the Flux model", "May not handle overly complex or abstract prompts well" ], "tags": [ "ai-image-generation", "image-mcp", "replicate-mcp", "svg-generator", "svg-mcp" ], "featured": false, "tier": "curated", "stars": 103, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/awkoy/replicate-flux-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "flux" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/awkoy-replicate-flux-mcp" }, { "slug": "awslabs-mcp", "name": "awslabs/mcp", "vendor": "Various", "tagline": "Open source MCP Servers for AWS", "description": "A collection of open-source Model Context Protocol (MCP) servers for AWS services, maintained by AWS Labs. Each server exposes AWS capabilities (e.g., EC2, S3, Lambda) to MCP-compatible clients, enabling programmatic control via natural language or structured prompts.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants or automation tools that need to interact with AWS services via the Model Context Protocol.", "useCases": [ "Manage AWS resources like EC2 instances or S3 buckets through an MCP client", "Automate infrastructure tasks by chaining AWS service calls in a conversational interface", "Prototype AWS integrations without writing custom API wrappers" ], "pros": [ "Directly maintained by AWS Labs, ensuring alignment with official APIs", "Broad coverage of popular AWS services in a single repository", "Python-based, making it easy to extend or contribute" ], "cons": [ "Requires an MCP-compatible client and AWS credentials to use", "Documentation and examples may lag behind service updates", "Not all AWS services are covered; gaps exist for niche offerings" ], "tags": [ "aws", "mcp", "mcp-client", "mcp-clients", "mcp-host", "mcp-server", "mcp-servers", "mcp-tools" ], "featured": false, "tier": "curated", "stars": 9171, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/awslabs/mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/awslabs-mcp" }, { "slug": "awwaiid-mcp-server-taskwarrior", "name": "awwaiid/mcp-server-taskwarrior", "vendor": "Various", "tagline": "MCP Server for TaskWarrior!", "description": "An MCP server that exposes TaskWarrior task management to MCP-compatible clients. It allows AI agents and tools to create, list, and manage tasks through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who already use TaskWarrior and want to expose it to MCP-based agents or tools", "useCases": [ "Automating task creation and updates from an AI assistant or CLI", "Querying TaskWarrior projects and tasks via MCP clients", "Integrating task management into agent-driven workflows" ], "pros": [ "Leverages existing TaskWarrior data and configuration", "Simple JavaScript implementation, easy to fork or extend", "Small, focused tool with no unnecessary dependencies" ], "cons": [ "Requires a running TaskWarrior instance and compatible MCP client", "Limited to TaskWarrior's native features and schema", "Niche audience: only useful for TaskWarrior + MCP users" ], "tags": [], "featured": false, "tier": "curated", "stars": 46, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/awwaiid/mcp-server-taskwarrior", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "eyaltoledano-claude-task-master" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/awwaiid-mcp-server-taskwarrior" }, { "slug": "axliupore-mcp-code-runner", "name": "axliupore/mcp-code-runner", "vendor": "Various", "tagline": "📇 🏠 - An MCP server for running code locally via Docker and supporting multiple programming languages.", "description": "axliupore/mcp-code-runner is an MCP server that executes code locally inside Docker containers, supporting multiple programming languages. It provides a controlled environment for running snippets or scripts as part of AI agent workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or tools that need sandboxed multi-language code execution.", "useCases": [ "Running user-submitted code snippets safely in an AI chatbot or agent", "Testing short scripts across multiple languages without setting up local environments", "Integrating code execution into MCP-based development tools or assistants" ], "pros": [ "Docker isolation enhances security when running untrusted code", "Supports a variety of programming languages out of the box", "Simple MCP protocol integration with existing AI clients" ], "cons": [ "Requires Docker to be installed and running on the host machine", "Small community and limited stars (18) indicate less testing and support", "May struggle with large or dependency-heavy code execution tasks" ], "tags": [], "featured": false, "tier": "curated", "stars": 18, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-04-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/axliupore/mcp-code-runner", "relations": { "works_in": [ "cursor", "cline" ], "uses": [ "docker" ], "built_with": [], "pairs_with": [], "alternative_to": [ "pydantic-pydantic-ai-mcp-run-python" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/axliupore-mcp-code-runner" }, { "slug": "aybelatchane-mcp-server-terminal", "name": "aybelatchane/mcp-server-terminal", "vendor": "Various", "tagline": "Terminal MCP Server - Model Context Protocol server for TUI/CLI automation with structured Terminal State Tree (TST)", "description": "A Model Context Protocol server written in Rust that enables AI assistants to interact with terminal user interfaces and command-line interfaces. It uses a structured Terminal State Tree (TST) to represent terminal state for automation.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with MCP-based terminal automation in Rust", "useCases": [ "Automating CLI workflows from AI assistants", "Building TUI-based agent interactions", "Scripting terminal operations via MCP" ], "pros": [ "Written in Rust for performance and safety", "Structured state representation aids reliable automation", "Implements the Model Context Protocol for interoperability" ], "cons": [ "Very early stage with only 15 GitHub stars", "Limited community and documentation", "Requires understanding of both MCP and TST concepts" ], "tags": [], "featured": false, "tier": "curated", "stars": 15, "language": [ "Rust" ], "license": "MIT", "lastUpdated": "2026-01-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/aybelatchane/mcp-server-terminal", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "wonderwhy-er-desktopcommandermcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/aybelatchane-mcp-server-terminal" }, { "slug": "ayhammouda-python-docs-mcp-server", "name": "ayhammouda/python-docs-mcp-server", "vendor": "Various", "tagline": "Read-only MCP server for official Python docs: local index, no API keys, exact symbol lookup, version-aware retrieval.", "description": "Read-only MCP server that provides access to official Python documentation. It uses a local index for fast exact symbol lookup without requiring API keys. Supports version-aware retrieval to match the correct documentation version.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need fast, offline access to official Python documentation within MCP-enabled environments", "useCases": [ "Look up Python standard library symbols during development", "Integrate official Python docs into AI coding assistants", "Provide version-specific Python documentation in MCP-compatible tools" ], "pros": [ "No API keys needed, completely local and private", "Exact symbol lookup is fast and reliable", "Version-aware retrieval avoids outdated docs" ], "cons": [ "Limited to official Python documentation only", "Requires local indexing which may need updates", "Read-only, cannot add custom notes or annotations" ], "tags": [ "claude", "cursor", "documentation", "fts5", "glama", "llm", "mcp", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/ayhammouda/python-docs-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "pydantic-pydantic-ai-mcp-run-python" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ayhammouda-python-docs-mcp-server" }, { "slug": "aymericzip-intlayer", "name": "aymericzip/intlayer", "vendor": "Various", "tagline": "Per-component Internationalisation solution for JS application. Type-Safe. Translate with AI. Edit Visually.", "description": "Intlayer is a TypeScript library that provides per-component internationalization for JavaScript applications. It offers type-safe translation management, AI-assisted translation generation, and a visual editor for editing translations.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building multi-language JS apps who want type safety and a visual translation editor", "useCases": [ "Add i18n to a React or Vue app with type-safe translation keys", "Automatically generate translations using AI for multiple locales", "Visually edit translations in context within the application UI" ], "pros": [ "Type-safe translations reduce runtime errors", "AI integration speeds up initial translation setup", "Visual editor simplifies translation workflow for non-developers" ], "cons": [ "Limited to JavaScript ecosystem applications", "Relatively small community with 752 stars may mean fewer resources", "AI translation quality depends on the underlying model and may require manual review" ], "tags": [ "cms", "content", "content-management", "hacktoberfest", "i18n", "internationalisation", "javascript", "l10n" ], "featured": false, "tier": "curated", "stars": 752, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/aymericzip/intlayer", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/aymericzip-intlayer" }, { "slug": "ayo-nci-bulkrender-mcp", "name": "ayo-nci/bulkrender-mcp", "vendor": "Various", "tagline": "MCP server for BulkRender — generate DOCX and PDF documents from Claude, Cursor, Windsurf, and any MCP-compatible AI assistant", "description": "An MCP server that enables AI assistants like Claude, Cursor, and Windsurf to generate DOCX and PDF documents via the BulkRender service. It acts as a bridge between MCP-compatible tools and document rendering, allowing users to produce formatted files directly from chat or code interfaces.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to generate documents directly from MCP-compatible AI assistants", "useCases": [ "Generate formatted reports from AI conversations", "Create PDF invoices or contracts via chat commands", "Automate document creation in MCP-enabled workflows" ], "pros": [ "Works with multiple popular AI assistants that support MCP", "Supports both DOCX and PDF output formats", "Open source and free to use" ], "cons": [ "Zero stars indicates a very new or unproven project", "Requires an MCP-compatible AI assistant to function", "Limited community support and documentation likely" ], "tags": [ "ai-tools", "claude", "document-generation", "docx", "mcp", "model-context-protocol", "pdf" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "lastUpdated": "2026-05-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/ayo-nci/bulkrender-mcp", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ayo-nci-bulkrender-mcp" }, { "slug": "aywengo-kafka-schema-reg-mcp", "name": "aywengo/kafka-schema-reg-mcp", "vendor": "Various", "tagline": "A comprehensive Message Control Protocol (MCP) server for Kafka Schema Registry.", "description": "A Python-based MCP server that provides an interface for interacting with a Kafka Schema Registry. It enables managing schema subjects, versions, and compatibility using the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using MCP-based tools who need to manage Kafka schema registries programmatically.", "useCases": [ "Register and manage Avro, JSON, or Protobuf schemas in a Kafka Schema Registry.", "Query schema versions and compatibility across subjects from an MCP client.", "Automate schema evolution workflows within MCP-enabled toolchains." ], "pros": [ "Open source with Python codebase easy to inspect and modify.", "Lightweight MCP server that integrates directly with Kafka Schema Registry APIs.", "Modest but functional scope focused on schema registry operations." ], "cons": [ "Limited community adoption (31 GitHub stars) may mean fewer contributors and slower bug fixes.", "Relies on MCP protocol which is not widely used outside specific ecosystems.", "No built-in support for encryption or authentication beyond what the registry provides." ], "tags": [ "apache-kafka", "claude-desktop", "cursor", "docker", "enterprise", "kafka", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 31, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/aywengo/kafka-schema-reg-mcp", "relations": { "works_in": [ "cline", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/aywengo-kafka-schema-reg-mcp" }, { "slug": "azer-react-analyzer-mcp", "name": "azer/react-analyzer-mcp", "vendor": "Various", "tagline": "MCP server for analyzing & generating docs for React code locally", "description": "An MCP server that analyzes React code and generates documentation locally. It uses the Model Context Protocol to provide structured analysis of React components and hooks. Written in TypeScript, it runs as a local server for integration with MCP-compatible tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing local React code analysis and doc generation via MCP", "useCases": [ "Analyzing React component structure and props", "Generating documentation from React source code", "Integrating with MCP-compatible IDEs for local code insights" ], "pros": [ "Open source and written in TypeScript for type safety", "Runs locally, keeping code private", "Follows the MCP standard for interoperability" ], "cons": [ "Small community with only 57 stars, limiting support and contributions", "Requires MCP-compatible tools to be useful", "May lack advanced features for complex React codebases" ], "tags": [], "featured": false, "tier": "curated", "stars": 57, "language": [ "TypeScript" ], "lastUpdated": "2025-04-09", "addedAt": "2026-06-01", "officialLink": "https://github.com/azer/react-analyzer-mcp", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/azer-react-analyzer-mcp" }, { "slug": "azeth-protocol-mcp-server", "name": "azeth-protocol/mcp-server", "vendor": "Various", "tagline": "MCP server for Azeth — smart accounts, payments, reputation, and discovery tools for AI agents", "description": "An MCP (Model Context Protocol) server for Azeth that exposes smart accounts, payments, reputation, and discovery capabilities for AI agents. It bundles several Web3 primitives into a single TypeScript package, allowing agents to interact with on-chain functions through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that require on-chain smart accounts, reputation, or payment capabilities via the MCP protocol", "useCases": [ "Building autonomous AI agents with on-chain smart accounts", "Implementing agent-to-agent reputation and trust systems", "Enabling AI agents to make and receive payments programmatically" ], "pros": [ "Provides a centralized MCP server for multiple blockchain interactions", "Written in TypeScript, making it easy to integrate into JavaScript/TypeScript projects", "Covers core Web3 needs (accounts, payments, reputation) in one tool" ], "cons": [ "Very early stage with only 2 GitHub stars and limited adoption", "Relies on the Azeth protocol, which may have its own limitations or dependencies", "Small community and sparse documentation likely due to its early development" ], "tags": [ "account-abstraction", "ai-agent-payments", "ai-agents", "base", "blockchain", "claude", "erc-4337", "ethereum" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/azeth-protocol/mcp-server", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/azeth-protocol-mcp-server" }, { "slug": "azure-azure-mcp", "name": "Azure/azure-mcp", "vendor": "Various", "tagline": "The Azure MCP Server, bringing the power of Azure to your agents.", "description": "An open-source Model Context Protocol server that exposes Azure services as tools for AI agents. It enables agents to orchestrate cloud resources like VMs, containers, and storage directly through natural language or structured commands.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building agent systems that need programmatic access to Azure cloud services.", "useCases": [ "Provision and manage Azure resources via agent prompts", "Query cloud infrastructure state and logs", "Automate deployment workflows within agentic loops" ], "pros": [ "Tight integration with Azure's native APIs", "C# codebase familiar to .NET developers", "Actively maintained in a Microsoft repository" ], "cons": [ "Requires MCP-compatible agent frameworks to use", "Limited to Azure ecosystem resources", "Relatively new with evolving API surface" ], "tags": [], "featured": false, "tier": "curated", "stars": 1213, "language": [ "C#" ], "license": "MIT", "lastUpdated": "2026-02-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/Azure/azure-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "awslabs-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/azure-azure-mcp" }, { "slug": "bababoi-bibilabu-agent-mq", "name": "bababoi-bibilabu/agent-mq", "vendor": "Various", "tagline": "Message queue for AI coding assistants. Let your AI agents talk to each other.", "description": "Agent-mq is a Python message queue for AI coding assistants. It allows AI agents to send messages to each other and coordinate tasks. The project is open source with very early stage adoption (1 GitHub star).", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers prototyping multi-agent coding assistants who need a simple message broker", "useCases": [ "Connecting multiple AI agents in a collaborative coding workflow", "Decoupling agent processes for asynchronous communication", "Building distributed agent systems that need to pass data between agents" ], "pros": [ "Simple Python implementation that is easy to integrate into existing agent setups", "Lightweight and focused specifically on AI assistant use cases", "Open source, allowing full customization and self-hosting" ], "cons": [ "Very low community adoption (1 star), which may indicate limited testing and support", "Python-only, requiring wrapping or additional tooling for other languages", "No evidence of production readiness or active maintenance" ], "tags": [ "agent-communication", "ai-agents", "claude-code", "codex", "cursor", "mcp", "message-queue", "multi-agent" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/bababoi-bibilabu/agent-mq", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/bababoi-bibilabu-agent-mq" }, { "slug": "back1ply-agent-skill-loader", "name": "back1ply/agent-skill-loader", "vendor": "Various", "tagline": "MCP server to expose Claude Code Skills to AI agents", "description": "A Model Context Protocol server that exposes Claude Code Skills as consumable endpoints for AI agents. Built in TypeScript, it translates skill definitions into MCP-compatible tools or resources so any MCP client can invoke them.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-compatible agents who want to reuse Claude Code Skills", "useCases": [ "Integrating custom Claude Code Skills into agent workflows", "Enabling AI agents to execute pre-built coding tasks via MCP", "Bridging MCP-compatible clients with a library of reusable skills" ], "pros": [ "Lightweight implementation using the MCP standard for interoperability", "TypeScript codebase allows type-safe customization and extension", "Straightforward way to reuse existing Claude Code Skills outside of Claude" ], "cons": [ "Very limited community adoption (12 GitHub stars) implying sparse support and testing", "Narrowly scoped to Claude Code Skills, not a general-purpose skill loader", "Dependent on the evolving MCP specification and may lag behind updates" ], "tags": [ "antigravity", "claude", "claude-code", "cursor", "mcp", "model-context-protocol", "skills", "typescript" ], "featured": false, "tier": "curated", "stars": 12, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/back1ply/agent-skill-loader", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/back1ply-agent-skill-loader" }, { "slug": "babyblueviper1-invinoveritas", "name": "babyblueviper1/invinoveritas", "vendor": "Various", "tagline": "Lightning-native AI agent platform — pre-trade /review, pay-per-use reasoning, sandboxed execution, persistent memory, an agent marketplace, a tenant residence (identity+wallet+mem", "description": "Lightning-native AI agent platform for pre-trade review and pay-per-use reasoning. It features sandboxed execution, persistent memory, an agent marketplace, and a tenant residence with identity, wallet, memory, and reputation. One Bearer key enables payment in sats or USDC (x402).", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents on Lightning Network", "useCases": [ "Pre-trade review of AI agents", "Pay-per-use reasoning for AI tasks", "Participate in edge-idea bounties" ], "pros": [ "Lightning network payments enable fast, low-cost transactions", "Sandboxed execution provides safe agent isolation", "Persistent memory allows stateful agent interactions" ], "cons": [ "Low star count indicates limited user adoption and maturity", "Relies on Lightning Network infrastructure, limiting non-crypto users", "Complex setup for those unfamiliar with cryptocurrency payments" ], "tags": [ "agent", "ai-agents", "anthropic", "bitcoin", "bolt11", "claude", "l402", "lightning-network" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/babyblueviper1/invinoveritas", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/babyblueviper1-invinoveritas" }, { "slug": "backloghq-backlog", "name": "backloghq/backlog", "vendor": "Various", "tagline": "Persistent task management plugin for Claude Code and agent teams", "description": "backloghq/backlog is a persistent task management plugin designed for Claude Code and agent teams. It runs as a TypeScript extension within Claude Code to track tasks that survive across sessions. The tool enables multiple AI agents to maintain a shared backlog of work items.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude Code with multiple agents or long-running sessions who need persistent task tracking", "useCases": [ "Track ongoing coding tasks across Claude Code sessions", "Coordinate task assignments among multiple AI agents", "Persist task state for long-running development workflows" ], "pros": [ "Reduces context loss for multi-session coding tasks", "Designed specifically for AI agent collaboration", "Open source TypeScript codebase allows customisation" ], "cons": [ "Very early stage with only 3 GitHub stars and limited community support", "Requires Claude Code environment, not a standalone tool", "May lack advanced features expected from mature task trackers" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/backloghq/backlog", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "eyaltoledano-claude-task-master" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/backloghq-backlog" }, { "slug": "backspace-me-sportscore-mcp", "name": "Backspace-me/sportscore-mcp", "vendor": "Various", "tagline": "MCP server exposing the free SportScore sports-data API as tool calls for Claude, Cursor, and Zed. Live scores, fixtures, standings for football, basketball, cricket, tennis.", "description": "An MCP server that wraps the free SportScore sports-data API into tool calls for use with Claude, Cursor, and Zed. It exposes live scores, fixtures, and standings for football, basketball, cricket, and tennis through standard MCP interfaces.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a quick, zero-cost way to add live sports data into AI assistant workflows", "useCases": [ "Fetch live scores from within an AI coding assistant to answer sports questions", "Retrieve fixture schedules and standings for automated match-day alerts", "Integrate real-time sports data into a chatbot built on Claude or Cursor" ], "pros": [ "Free API source with no upfront cost for data access", "Covers four popular sports out of the box", "Works directly with multiple MCP-compatible AI tools" ], "cons": [ "Limited to data provided by the free SportScore API (only four sports)", "Depends on an external third-party service that may have rate limits or downtime", "No custom data fields or extended historical data beyond what SportScore offers" ], "tags": [ "basketball", "claude", "cricket", "cursor", "football", "live-scores", "llm-tools", "mcp" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/Backspace-me/sportscore-mcp", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/backspace-me-sportscore-mcp" }, { "slug": "badhansen-notion-mcp", "name": "Badhansen/notion-mcp", "vendor": "Various", "tagline": "A simple Model Context Protocol (MCP) server that integrates with Notion's API to manage my personal todo list.", "description": "A simple Model Context Protocol (MCP) server written in Python that integrates with Notion's API to manage a personal todo list. It exposes Notion database operations through the MCP standard, allowing AI assistants to read, create, and update tasks.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to connect AI assistants to their personal Notion todo lists", "useCases": [ "Managing a Notion-based todo list via AI assistants", "Automating task creation and updates in Notion", "Querying Notion tasks through MCP-compatible tools" ], "pros": [ "Lightweight and focused on a single use case", "Easy to set up for developers familiar with Python and MCP", "Direct integration with Notion's API without extra middleware" ], "cons": [ "Limited to personal todo list functionality, not a general Notion MCP server", "Small community (29 stars) with minimal documentation or support", "May lack advanced features like pagination or complex queries" ], "tags": [], "featured": false, "tier": "curated", "stars": 29, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-09-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/Badhansen/notion-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/badhansen-notion-mcp" }, { "slug": "bakyang2-kr-crypto-intelligence", "name": "bakyang2/kr-crypto-intelligence", "vendor": "Various", "tagline": "Korean crypto market data API for AI agents. Kimchi premium, exchange prices, FX rates. x402 pay-per-use on Base.", "description": "A Python API that provides Korean crypto market data for AI agents. It delivers Kimchi premium, exchange prices, and FX rates. Access is via x402 pay-per-use on Base.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need Korean crypto market data, especially Kimchi premium and exchange prices.", "useCases": [ "Fetching real-time Kimchi premium for arbitrage analysis", "Integrating Korean exchange prices into trading bots", "Accessing FX rates for cross-border crypto strategies" ], "pros": [ "Specialized data for the Korean crypto market including Kimchi premium", "Pay-per-use model on Base can reduce upfront costs", "Simple Python interface for AI agent integration" ], "cons": [ "Zero stars indicates low adoption or early stage", "Limited to Korean market data only", "Dependency on Base network for payment may add complexity" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/bakyang2/kr-crypto-intelligence", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/bakyang2-kr-crypto-intelligence" }, { "slug": "bamwor-dev-bamwor-mcp-server", "name": "bamwor-dev/bamwor-mcp-server", "vendor": "Various", "tagline": "MCP server for world geographic data. 261 countries, 13.4M cities.", "description": "A Model Context Protocol server that provides geographic data for 261 countries and 13.4 million cities. It is built in TypeScript and exposes world geographic information through the MCP interface for use by AI agents and developer tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based tools that need offline access to world geographic data", "useCases": [ "Retrieve country and city data for location-aware AI applications", "Enrich chatbot responses with geographic context", "Build tools that need a comprehensive world cities dataset" ], "pros": [ "Large built-in dataset with 13.4 million cities", "Standard MCP interface for easy integration", "Lightweight TypeScript implementation" ], "cons": [ "Very early stage with only 1 GitHub star", "No documentation or usage examples visible", "Unknown update frequency or data freshness" ], "tags": [ "ai-tools", "cities", "claude-desktop", "countries", "geography", "geospatial", "mcp", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/bamwor-dev/bamwor-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "upstash-context7", "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/bamwor-dev-bamwor-mcp-server" }, { "slug": "bankless-onchain-mcp", "name": "bankless/onchain-mcp", "vendor": "Various", "tagline": "Bringing the bankless onchain API to MCP", "description": "An MCP server that wraps the Bankless Onchain API, enabling AI agents to query blockchain data through the Model Context Protocol. It is written in TypeScript and provides tools for retrieving on-chain information such as balances, transactions, and token data.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need straightforward access to onchain data via MCP", "useCases": [ "Query wallet balances and transaction histories for AI-driven portfolio analysis", "Fetch token prices and metadata to power conversational financial assistants", "Integrate onchain data into agent workflows for automated DeFi monitoring" ], "pros": [ "Open source and built in TypeScript, making it easy to extend and contribute to", "Leverages the MCP standard, allowing seamless integration with MCP-compatible AI frameworks", "Provides direct access to the Bankless Onchain API without building custom connectors" ], "cons": [ "Dependent on the Bankless Onchain API, which may have rate limits or require an API key", "Relatively small community (79 stars) which may mean slower updates and fewer examples", "Limited to the data and endpoints exposed by the Bankless API, not a general-purpose blockchain indexer" ], "tags": [], "featured": false, "tier": "curated", "stars": 79, "language": [ "TypeScript" ], "lastUpdated": "2026-05-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/Bankless/onchain-mcp/", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/bankless-onchain-mcp" }, { "slug": "baphometnxg-aloha-fyi-mcp", "name": "baphometnxg/aloha-fyi-mcp", "vendor": "Various", "tagline": "baphometnxg/aloha-fyi-mcp — indexed from awesome-mcp-servers-punkpeye", "description": "A TypeScript MCP server that integrates with Aloha.fyi to provide AI assistants with access to personal notes and knowledge. It enables retrieval and management of notes through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who use Aloha.fyi and want to connect their notes to MCP-compatible AI tools", "useCases": [ "Query personal notes from Aloha.fyi via an AI assistant", "Create and update notes programmatically through MCP", "Search knowledge base entries using natural language" ], "pros": [ "Simple integration with Aloha.fyi for note management", "Written in TypeScript for type safety and maintainability", "Follows the MCP standard for interoperability" ], "cons": [ "Very early stage with only 1 star and minimal adoption", "Limited documentation and community support", "Dependent on Aloha.fyi service availability and API" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "lastUpdated": "2026-04-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/baphometnxg/aloha-fyi-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "topoteretes-cognee", "vectorize-io-hindsight" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/baphometnxg-aloha-fyi-mcp" }, { "slug": "bart6114-my-bear-mcp-server", "name": "bart6114/my-bear-mcp-server", "vendor": "Various", "tagline": "📇 🏠 🍎 - Allows to read notes and tags for the Bear Note taking app, through a direct integration with Bear's sqlitedb.", "description": "This MCP server provides read-only access to notes and tags from the Bear note-taking app by directly querying Bear's local SQLite database. It is implemented in JavaScript and is open source with 14 stars on GitHub.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who use Bear notes and want to inject that content into AI-powered tools via the Model Context Protocol", "useCases": [ "Pull Bear notes into an AI coding assistant for context", "Query tags to filter and retrieve relevant notes", "Integrate note contents into development workflows" ], "pros": [ "Direct local data access without requiring Bear's API", "Lightweight and focused on a single task", "Open source with a permissive license" ], "cons": [ "Read-only; cannot create or edit notes", "Depends on Bear's internal SQLite schema which may break with updates", "Requires Bear to be installed and the database file accessible" ], "tags": [], "featured": false, "tier": "curated", "stars": 14, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2025-03-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/bart6114/my-bear-mcp-server/", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "browsermcp-mcp", "idosal-git-mcp", "glips-figma-context-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/bart6114-my-bear-mcp-server" }, { "slug": "bartonguestier1725-collab-scout-mcp", "name": "bartonguestier1725-collab/scout-mcp", "vendor": "Various", "tagline": "bartonguestier1725-collab/scout-mcp — indexed from awesome-mcp-servers-punkpeye", "description": "Scout is an MCP server for browsing GitHub repositories, implemented in TypeScript. It enables developers to inspect repository metadata, read file contents, and search code through natural language queries.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a lightweight MCP tool to query public GitHub repositories via natural language.", "useCases": [ "Retrieve repository metadata and file listings", "Read and search file contents within a repo", "Query repository information using natural language" ], "pros": [ "Simple, focused MCP server for GitHub access", "Written in TypeScript, easy to contribute to", "Supports natural language queries for repository operations" ], "cons": [ "Zero stars and no community adoption yet", "Limited to basic read operations on public repositories", "No authentication or write capabilities documented" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/bartonguestier1725-collab/scout-mcp", "relations": { "works_in": [ "cline", "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/bartonguestier1725-collab-scout-mcp" }, { "slug": "base-base-mcp", "name": "base/base-mcp", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server that provides onchain tools for LLMs, allowing them to interact with the Base network and Coinbase API.", "description": "This MCP server exposes onchain tools for large language models. It enables LLMs to interact with the Base network and Coinbase API through the Model Context Protocol. The server is written in TypeScript and has 347 GitHub stars.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building LLM agents that need to interact with the Base blockchain or Coinbase services", "useCases": [ "Querying blockchain data on Base network", "Executing transactions via Coinbase API", "Integrating LLM agents with onchain actions" ], "pros": [ "Provides structured onchain access for LLMs", "Leverages established MCP protocol for interoperability", "Open source with active community interest (347 stars)" ], "cons": [ "Limited to Base network and Coinbase API only", "Requires MCP client support in the LLM framework", "Dependent on external API availability and rate limits" ], "tags": [], "featured": false, "tier": "curated", "stars": 347, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/base/base-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/base-base-mcp" }, { "slug": "battam1111-myco", "name": "Battam1111/Myco", "vendor": "Various", "tagline": "Self-evolving cognitive organism for AI agents — eternal devouring, eternal evolution.", "description": "Myco is a Rust-based framework for building self-modifying AI agents that evolve their own code and behavior over time. It implements a cognitive organism pattern where agents continuously rewrite their own logic based on experience and environmental feedback.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Researchers and hobbyists exploring self-modifying AI agent architectures", "useCases": [ "Building autonomous agents that adapt their decision-making logic without human intervention", "Creating long-running AI systems that improve their own algorithms through iterative self-modification", "Experimenting with emergent behavior in agent-based simulations or game AI" ], "pros": [ "Novel self-evolution approach enables agents to discover optimizations beyond initial design", "Rust implementation provides memory safety and performance for long-running agent loops", "Open-source with permissive license allows full customization and study" ], "cons": [ "Small community (63 stars) means limited documentation, examples, and support", "Self-modifying code introduces unpredictable behavior and debugging challenges", "Experimental nature makes it unsuitable for production-critical applications" ], "tags": [ "agent-memory", "ai-agents", "ai-infrastructure", "autonomous-agents", "biomimetics", "claude", "claude-code", "codex" ], "featured": false, "tier": "curated", "stars": 63, "language": [ "Rust" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/Battam1111/Myco", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "auto-gpt", "metagpt" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/battam1111-myco" }, { "slug": "bb-fat-browser-use-rs", "name": "BB-fat/browser-use-rs", "vendor": "Various", "tagline": "A Rust library for browser automation via Chrome DevTools Protocol with built-in AI integration through Model Context Protocol (MCP)", "description": "A Rust library for browser automation using the Chrome DevTools Protocol. It includes built-in AI integration through the Model Context Protocol (MCP) for agent-driven interactions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Rust developers who need browser automation with AI agent integration", "useCases": [ "Automating browser tasks in Rust applications", "Integrating AI agents with browser control via MCP", "Scripting low-level web interactions with CDP" ], "pros": [ "Leverages Rust's performance and memory safety", "Direct access to Chrome DevTools Protocol for fine-grained control", "Built-in MCP support simplifies AI integration" ], "cons": [ "Small community with only 37 stars suggests limited adoption", "Requires Rust expertise; not accessible to non-Rust developers", "Likely sparse documentation and fewer examples than mature alternatives" ], "tags": [ "browser-use", "mcp" ], "featured": false, "tier": "curated", "stars": 37, "language": [ "Rust" ], "license": "MIT", "lastUpdated": "2025-11-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/BB-fat/browser-use-rs", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "agent-infra-mcp-server-browser", "browsermcp-mcp", "executeautomation-playwright-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/bb-fat-browser-use-rs" }, { "slug": "bbonnin-openapi-to-mcp", "name": "bbonnin/openapi-to-mcp", "vendor": "Various", "tagline": "OpenApiMCPServer is an MCP server that automatically converts any OpenAPI/Swagger specification into a set of usable MCP tools", "description": "OpenApiMCPServer is a Java-based MCP server that automatically converts any OpenAPI or Swagger specification into a set of usable MCP tools. It reads the API spec and exposes each endpoint as a tool that can be invoked through the MCP protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to quickly expose existing REST APIs as MCP tools without writing custom adapters", "useCases": [ "Expose a REST API as MCP tools for use in AI agents", "Quickly prototype MCP integrations from existing OpenAPI specs", "Bridge legacy Swagger-defined APIs into modern MCP workflows" ], "pros": [ "Zero manual tool definition needed for any valid OpenAPI spec", "Lightweight Java implementation with minimal dependencies", "Works with both OpenAPI 2.0 (Swagger) and 3.0 specs" ], "cons": [ "Requires Java runtime, limiting deployment options for non-Java stacks", "No built-in authentication or rate limiting for the generated tools", "Limited to read-only conversion; does not handle complex API workflows" ], "tags": [ "llm", "mcp", "openapi", "swagger" ], "featured": false, "tier": "curated", "stars": 5, "language": [ "Java" ], "license": "MIT", "lastUpdated": "2025-12-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/bbonnin/openapi-to-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/bbonnin-openapi-to-mcp" }, { "slug": "bch1212-agentfetch-mcp", "name": "bch1212/agentfetch-mcp", "vendor": "Various", "tagline": "MCP server for fetching web URLs with token estimation, caching, and intelligent routing. Built for AI agents.", "description": "A Model Context Protocol server that retrieves web page content for AI agents. It estimates token counts, caches responses, and routes requests intelligently.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need efficient web fetching with token management", "useCases": [ "Fetching web content for AI agent context", "Reducing token usage with estimation and caching", "Routing requests to optimize performance" ], "pros": [ "Token estimation helps control API costs", "Caching avoids redundant network requests", "Intelligent routing can improve response times" ], "cons": [ "No community adoption or reviews (0 stars)", "Limited to Python environments", "May lack robustness of more established tools" ], "tags": [ "agent", "ai-agents", "anthropic", "claude", "claude-mcp", "fastapi", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/bch1212/agentfetch-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "microsoft-markitdown" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/bch1212-agentfetch-mcp" }, { "slug": "behrensd-mcp-firewall", "name": "behrensd/mcp-firewall", "vendor": "Various", "tagline": "Deterministic security proxy for MCP tool calls — iptables for MCP", "description": "A deterministic security proxy for MCP tool calls that enforces rules before forwarding or blocking requests. Inspired by iptables, it provides explicit rule-based control over which MCP tools can be invoked and by whom. Written in TypeScript, it runs as a middleware layer between the MCP client and server.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a simple, deterministic firewall for MCP-based applications", "useCases": [ "Restrict MCP tool access to authorized clients only", "Audit and log all MCP tool invocations in deterministic order", "Enforce rate limiting or tool allowlists/denylists" ], "pros": [ "Deterministic behavior with explicit rule sets", "Lightweight and focused on a single security function", "Familiar iptables-style syntax for developers" ], "cons": [ "Niche tool with low community adoption (3 stars)", "Requires understanding of MCP and iptables-like rule syntax", "May not cover all MCP protocol edge cases or advanced threat patterns" ], "tags": [ "ai-safety", "claude-code", "firewall", "json-rpc", "mcp", "model-context-protocol", "proxy", "security" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "lastUpdated": "2026-02-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/behrensd/mcp-firewall", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "browsermcp-mcp", "executeautomation-playwright-mcp-server", "idosal-git-mcp", "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/behrensd-mcp-firewall" }, { "slug": "bellekou-mcp-viral-transformer", "name": "BelleKou/mcp-viral-transformer", "vendor": "Various", "tagline": "🚀 ViralTransformer: A high-performance MCP server for automated web scraping & AI-driven viral content transformation. 基于 MCP 协议的自动化网页抓取与爆款文案转化引擎。", "description": "An MCP server that automates web scraping and transforms scraped content into viral-style copy using AI. Built in Python, it follows the MCP protocol for integration with compatible tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring MCP-based content scraping and transformation pipelines", "useCases": [ "Scrape web pages for content to repurpose", "Transform scraped text into viral marketing copy", "Integrate with MCP-compatible automation workflows" ], "pros": [ "Open source and Python-based for easy customization", "Leverages MCP protocol for interoperability with other MCP servers", "Targets a specific content transformation niche" ], "cons": [ "Very early stage with only 1 star and minimal community adoption", "Limited documentation and support expected", "May lack robustness for production use" ], "tags": [ "ai-agents", "anthropic", "automation", "claude", "content-creation", "mcp", "mcp-server", "python" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/BelleKou/mcp-viral-transformer", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/bellekou-mcp-viral-transformer" }, { "slug": "beltran12138-wecom-docs-mcp-server", "name": "Beltran12138/wecom-docs-mcp-server", "vendor": "Various", "tagline": "MCP server for WeCom (Enterprise WeChat) document operations — create, read, edit Docs and Smartsheets. Fills the doc-CRUD gap in the WeCom MCP ecosystem.", "description": "An MCP server that enables create, read, and edit operations on WeCom (Enterprise WeChat) Docs and Smartsheets. It implements the Model Context Protocol to let AI agents programmatically manage WeCom documents. This fills a gap in the WeCom MCP ecosystem by providing document CRUD capabilities.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-driven document automation for enterprise WeChat users", "useCases": [ "Automate creation and updates of WeCom Docs via an AI assistant", "Push or retrieve Smartsheets data through MCP-compatible tools", "Integrate WeCom document workflows into MCP-enabled agent pipelines" ], "pros": [ "Addresses a specific missing piece for WeCom document CRUD in MCP", "Simple Python codebase that developers can inspect and extend", "Enables direct AI agent interaction with WeCom documents" ], "cons": [ "Very early stage with only 2 GitHub stars and limited community", "Narrow scope limited to WeCom Docs and Smartsheets only", "Requires configuring an MCP client and obtaining WeCom API credentials" ], "tags": [ "ai-agent", "enterprise-wechat", "mcp", "mcp-server", "model-context-protocol", "python", "wechat-work", "wecom" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/Beltran12138/wecom-docs-mcp-server", "relations": { "works_in": [ "claude-code", "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/beltran12138-wecom-docs-mcp-server" }, { "slug": "benborla29-mcp-server-mysql", "name": "benborla29/mcp-server-mysql", "vendor": "Various", "tagline": "A Model Context Protocol server that provides read-only access to MySQL databases. This server enables LLMs to inspect database schemas and execute read-only queries.", "description": "A Model Context Protocol server providing read-only access to MySQL databases. It allows LLMs to inspect database schemas and execute SELECT queries through a standard interface. Built in JavaScript, it integrates with MCP-compatible agents.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing safe, read-only MySQL access for AI agents and LLMs.", "useCases": [ "Enable LLMs to query existing MySQL databases for data retrieval", "Let agents explore database schemas and relationships", "Provide safe read-only database access for AI assistants" ], "pros": [ "Simple setup with MySQL connection configuration", "Read-only enforcement prevents accidental data modification", "Leverages MCP protocol for wide compatibility with LLM tools" ], "cons": [ "No write support limits use to read-only scenarios", "Requires MCP-compatible host or agent to function", "Potential performance impact if running complex queries through LLM" ], "tags": [], "featured": false, "tier": "curated", "stars": 1758, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/benborla/mcp-server-mysql", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/benborla29-mcp-server-mysql" }, { "slug": "benmonopoli-open-greenhouse-mcp", "name": "benmonopoli/open-greenhouse-mcp", "vendor": "Various", "tagline": "Production-ready MCP server for Greenhouse, designed for recruiters and hiring teams.", "description": "An open-source MCP server that connects AI assistants to the Greenhouse applicant tracking system via the Model Context Protocol. It enables automated recruitment workflows by exposing Greenhouse data and actions to compatible AI tools. Built in Python, it is designed for production use by recruiters and hiring teams.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Recruitment teams wanting to integrate AI assistants with Greenhouse", "useCases": [ "Automating candidate sourcing and screening with AI assistants", "Integrating AI tools for interview scheduling and status updates", "Building custom recruitment bots that query Greenhouse data" ], "pros": [ "Open source and free to use with no licensing costs", "Python-based, making it easy to extend or modify", "Designed for production use with the Greenhouse API" ], "cons": [ "Low community adoption (3 stars) may indicate limited support", "Requires self-hosting and managing Greenhouse API credentials", "Documentation and examples may be sparse beyond the repository" ], "tags": [ "ats", "greenhouse", "greenhouse-api", "hiring", "hr-tech", "mcp", "mcp-server", "recruiting" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/benmonopoli/open-greenhouse-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "sooperset-mcp-atlassian", "eyaltoledano-claude-task-master" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/benmonopoli-open-greenhouse-mcp" }, { "slug": "benswel-qr-agent-core", "name": "benswel/qr-agent-core", "vendor": "Various", "tagline": "QR-as-a-Service API for AI agents — 34 MCP tools, 11 QR types, dynamic links, scan analytics, webhooks, custom domains. REST API + MCP server.", "description": "QR-as-a-Service API for AI agents. It provides 34 MCP tools, 11 QR types, dynamic links, scan analytics, webhooks, and custom domains via a REST API and MCP server.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to generate and track QR codes programmatically", "useCases": [ "Generate QR codes for dynamic links with scan tracking", "Integrate QR code creation into AI agent workflows via MCP tools", "Automate QR code generation and analytics with webhooks" ], "pros": [ "Offers a wide variety of QR types and customization options", "Includes scan analytics and webhooks for real-time tracking", "Supports both REST API and MCP server for flexible integration" ], "cons": [ "Low community adoption with only 1 star on GitHub", "Limited documentation or support resources available", "Dependency on external service for QR generation and analytics" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/benswel/qr-agent-core", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/benswel-qr-agent-core" }, { "slug": "berckan-bugherd-mcp", "name": "Berckan/bugherd-mcp", "vendor": "Various", "tagline": "MCP server for BugHerd integration - manage bugs and feedback from Claude", "description": "A Model Context Protocol server that connects Claude to BugHerd, enabling bug and feedback management directly from the chat interface. It uses JavaScript to translate Claude's requests into BugHerd API calls for creating, reading, and updating tasks.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using BugHerd who want to manage bugs through Claude without leaving the chat interface", "useCases": [ "Create BugHerd tasks from Claude conversations without switching tools", "Retrieve and review bug reports and feedback items through Claude", "Update task status or details in BugHerd using natural language commands" ], "pros": [ "Tight integration with Claude for streamlined bug tracking workflows", "Lightweight JavaScript implementation with minimal dependencies", "Open source with a permissive license for customization" ], "cons": [ "Limited to BugHerd's API capabilities and rate limits", "Requires Claude desktop or compatible MCP host to function", "Small community and limited documentation due to low star count" ], "tags": [], "featured": false, "tier": "curated", "stars": 5, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/Berckan/bugherd-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "sooperset-mcp-atlassian" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/berckan-bugherd-mcp" }, { "slug": "berlinbra-alpha-vantage-mcp", "name": "berlinbra/alpha-vantage-mcp", "vendor": "Various", "tagline": "MCP Server for Alpha Advantage API", "description": "An MCP server that wraps the Alpha Vantage API, exposing financial data endpoints through the Model Context Protocol. It allows AI agents and MCP-compatible clients to query stock prices, forex rates, and other market data using natural language or structured requests.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or MCP-based tools that need straightforward access to financial market data", "useCases": [ "Fetch real-time stock quotes for portfolio monitoring in an AI assistant", "Retrieve historical price data for backtesting trading strategies", "Integrate currency exchange rates into a financial planning chatbot" ], "pros": [ "Open source and written in Python, easy to extend or customize", "Leverages the widely used MCP standard for seamless integration with AI tools", "Provides access to a broad range of Alpha Vantage endpoints through a single server" ], "cons": [ "Requires a free Alpha Vantage API key, which has rate limits (5 calls per minute)", "Limited to the data available via Alpha Vantage's free tier; premium data requires paid plans", "No built-in caching or error handling for API outages beyond basic MCP error responses" ], "tags": [], "featured": false, "tier": "curated", "stars": 97, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-10-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/berlinbra/alpha-vantage-mcp", "relations": { "works_in": [ "claude-code", "cursor", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/berlinbra-alpha-vantage-mcp" }, { "slug": "besslframework-stack-project-tessera", "name": "besslframework-stack/project-tessera", "vendor": "Various", "tagline": "Tessera — Memory layer for every AI. 58 MCP tools, 54 REST endpoints, local-first, AES-256 encrypted.", "description": "Tessera is a local-first memory layer for AI agents, providing 58 MCP tools and 54 REST endpoints for persistent context storage. All data is encrypted at rest with AES-256, ensuring privacy without relying on external cloud services.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a simple, local, encrypted memory layer for AI agents and chatbots", "useCases": [ "Adding persistent memory to AI agents for continuity across sessions", "Storing and retrieving encrypted context via MCP or REST APIs", "Building privacy-preserving applications that keep data local" ], "pros": [ "Local-first architecture eliminates dependency on third-party cloud memory", "Offers both MCP tools and REST endpoints for flexible integration", "Encrypts all stored data with AES-256 for security" ], "cons": [ "Small community and low GitHub stars indicate early-stage project", "Limited documentation and third-party tooling", "Potential performance bottlenecks for high-throughput use cases due to local encryption" ], "tags": [], "featured": false, "tier": "curated", "stars": 14, "language": [ "Python" ], "license": "AGPL-3.0", "lastUpdated": "2026-03-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/besslframework-stack/project-tessera", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "topoteretes-cognee" ], "alternative_to": [ "upstash-context7" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/besslframework-stack-project-tessera" }, { "slug": "betterdb-inc-monitor", "name": "BetterDB-inc/monitor", "vendor": "Various", "tagline": "Real-time monitoring, slowlog analysis, and audit trails for Valkey and Redis", "description": "BetterDB-inc/monitor provides real-time monitoring, slowlog analysis, and audit trails for Valkey and Redis databases. It is a TypeScript tool that connects to these databases to track performance and log queries.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers managing Valkey or Redis instances who need lightweight, open-source monitoring and slowlog analysis", "useCases": [ "Identify and analyze slow queries in Valkey or Redis", "Monitor real-time database performance and metrics", "Maintain audit trails for database operations" ], "pros": [ "Open source with 861 GitHub stars, indicating community interest", "Written in TypeScript for type safety and modern development", "Covers both Valkey and Redis, offering broad compatibility" ], "cons": [ "Limited to Valkey and Redis, not a general database monitor", "Requires setup and configuration to connect to databases", "May lack advanced features found in commercial monitoring tools" ], "tags": [ "metrics", "monitoring", "obsevability", "prometheus", "redis", "valkey" ], "featured": false, "tier": "curated", "stars": 861, "language": [ "TypeScript" ], "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/BetterDB-inc/monitor", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "netdata-netdata-netdata" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/betterdb-inc-monitor" }, { "slug": "betterhyq-mermaid-grammer-inspector-mcp", "name": "betterhyq/mermaid-grammer-inspector-mcp", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server for validating Mermaid diagram syntax and providing comprehensive grammar checking capabilities", "description": "A Model Context Protocol (MCP) server that validates Mermaid diagram syntax and performs grammar checking. It takes user requests through the MCP interface, examines the provided diagram code, and returns validation results or errors.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need automated Mermaid diagram syntax checks in MCP-based toolchains", "useCases": [ "Catch syntax errors in Mermaid diagrams before rendering", "Integrate grammar validation into an AI development workflow", "Automatically check diagram correctness in CI/CD pipelines" ], "pros": [ "Catches diagram errors early, saving debugging time", "Lightweight TypeScript MCP server easy to integrate", "Targeted functionality reduces complexity for simple validation needs" ], "cons": [ "Very limited community adoption with only 5 stars", "No support for rendering or editing, only validation", "Single author project may lack ongoing maintenance" ], "tags": [ "agent", "ai", "mcp" ], "featured": false, "tier": "curated", "stars": 5, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/betterhyq/mermaid_grammer_inspector_mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "antv-mcp-server-chart" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/betterhyq-mermaid-grammer-inspector-mcp" }, { "slug": "bgauryy-octocode-mcp", "name": "bgauryy/octocode-mcp", "vendor": "Various", "tagline": "MCP server for semantic code research and context generation on real-time using LLM patterns | Search naturally across public & private repos based on your permissions | Transform", "description": "MCP server that performs semantic code research and generates context using LLM patterns. It allows searching across public and private repositories based on user permissions. It transforms accessible codebases into AI-optimized knowledge for finding real implementations and documentation.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to search and understand codebases across repositories using natural language queries.", "useCases": [ "Searching across private repos for code patterns", "Generating context for complex code flows", "Finding real implementations and live docs across repositories" ], "pros": [ "Supports both public and private repos based on permissions", "Uses LLM patterns for semantic understanding", "Transforms codebases into AI-optimized knowledge" ], "cons": [ "Dependency on LLM patterns may introduce variability", "Requires appropriate permissions for private repos", "Focused on code research, not general development tasks" ], "tags": [ "agent", "ai", "ai-agents", "ai-tools", "claude-ai", "code-intelligence", "code-search", "context" ], "featured": false, "tier": "curated", "stars": 854, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/bgauryy/octocode-mcp", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "oraios-serena" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/bgauryy-octocode-mcp" }, { "slug": "bh-rat-context-awesome", "name": "bh-rat/context-awesome", "vendor": "Various", "tagline": "awesome-lists now available as CLI & MCP server for your agent.", "description": "context-awesome is a CLI and MCP server that exposes curated awesome-lists for use by AI agents. It runs on TypeScript and allows agents to query lists of resources directly from the command line or through MCP integration.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building context-aware agents that need quick access to curated resource lists", "useCases": [ "Providing curated reference lists to AI agents during development", "Querying awesome-lists from the command line for quick access", "Integrating contextual knowledge into MCP-compatible agent tools" ], "pros": [ "Open source with a TypeScript codebase easy to extend", "Bridges the gap between static awesome-lists and agent workflows", "Lightweight and simple to run as a CLI or server" ], "cons": [ "Small community with only 52 stars and limited adoption", "Niche use case only beneficial for MCP or CLI-based agents", "Relies on the quality and freshness of the underlying awesome-lists" ], "tags": [ "agents", "awesome", "awesome-list", "llm", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 52, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/bh-rat/context-awesome", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/bh-rat-context-awesome" }, { "slug": "bichev-agentradar-mcp", "name": "Bichev/agentradar-mcp", "vendor": "Various", "tagline": "MCP server for AgentRadar — trust scoring, scam detection, and EAS attestations for ERC-8004 + x402 agents on Base.", "description": "MCP server that provides trust scoring and scam detection for agents using ERC-8004 and x402 on Base. It leverages EAS attestations to verify agent credibility. Built in TypeScript, it integrates with AgentRadar's infrastructure.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building secure agent ecosystems on Base", "useCases": [ "Verify agent trustworthiness before interaction", "Detect potential scams in automated agent networks", "Integrate EAS attestation checks into MCP workflows" ], "pros": [ "Integrates with AgentRadar for on-chain agent verification", "Uses EAS attestations for decentralized trust", "Written in TypeScript for type safety" ], "cons": [ "Zero GitHub stars suggests limited community adoption", "Tied to Base blockchain and specific ERC-8004/x402 standards", "Requires MCP server setup and dependencies" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/Bichev/agentradar-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/bichev-agentradar-mcp" }, { "slug": "bighippoman-intercept-mcp", "name": "bighippoman/intercept-mcp", "vendor": "Various", "tagline": "MCP server with multi-tier fallback chain for fetching web content as clean markdown", "description": "A Model Context Protocol server that retrieves web content and converts it to clean markdown. It uses a multi-tier fallback chain to improve fetch success rates across different types of web pages. Built in TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based tools that need robust web-to-markdown extraction", "useCases": [ "Extracting clean text from web pages for LLM context", "Fetching content behind JavaScript-heavy sites via fallback", "Archiving web pages as structured markdown" ], "pros": [ "Multi-tier fallback increases fetch reliability", "Outputs clean, readable markdown suitable for LLMs", "Lightweight MCP server easy to integrate" ], "cons": [ "Small community (7 stars) may mean limited support", "No indication of performance benchmarks or caching", "Dependency on external services in fallback chain could add latency" ], "tags": [], "featured": false, "tier": "curated", "stars": 7, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/bighippoman/intercept-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "exa-labs-exa-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/bighippoman-intercept-mcp" }, { "slug": "bigsy-clojars-mcp-server", "name": "Bigsy/Clojars-MCP-Server", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server that provides tools for fetching dependency information from Clojars, the Clojure community's artifact repository.", "description": "A Model Context Protocol (MCP) server that fetches dependency information from Clojars, the Clojure community's artifact repository. It exposes tools for querying artifact metadata, versions, and dependencies via the MCP interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Clojure developers who need programmatic access to Clojars dependency data via MCP-compatible tools", "useCases": [ "Retrieve dependency metadata for Clojure projects during development", "Check available versions of a Clojars artifact from an MCP-compatible client", "Automate dependency lookup in Clojure build tooling or workflows" ], "pros": [ "Lightweight JavaScript implementation with minimal dependencies", "Direct integration with Clojars for accurate, up-to-date artifact data", "Simple MCP interface makes it easy to use with compatible clients" ], "cons": [ "Limited to Clojars repository only, not other package registries", "Small community with only 5 GitHub stars, may lack active maintenance", "Requires an MCP-compatible client to be useful, not a standalone tool" ], "tags": [], "featured": false, "tier": "curated", "stars": 5, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2025-06-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/Bigsy/Clojars-MCP-Server", "relations": { "works_in": [ "claude-code", "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/bigsy-clojars-mcp-server" }, { "slug": "billster45-mcp-chatgpt-responses", "name": "billster45/mcp-chatgpt-responses", "vendor": "Various", "tagline": "MCP server for access to OpenAI's ChatGPT API with Responses API for conversation management", "description": "This MCP server provides a bridge to OpenAI's ChatGPT API using the Responses API for structured conversation management. It is implemented in Python and allows developers to integrate ChatGPT capabilities into MCP-compatible applications.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based tools that need ChatGPT conversation capabilities", "useCases": [ "Integrate ChatGPT responses into MCP-based workflows", "Manage multi-turn conversations via the Responses API", "Build custom AI assistants with OpenAI's chat models" ], "pros": [ "Leverages the official OpenAI Responses API for reliable conversation handling", "Lightweight Python implementation with 17 stars on GitHub", "Simplifies integration of ChatGPT into MCP ecosystems" ], "cons": [ "Requires an OpenAI API key and incurs usage costs", "Limited community adoption due to low star count", "Dependent on OpenAI's API availability and rate limits" ], "tags": [], "featured": false, "tier": "curated", "stars": 17, "language": [ "Python" ], "lastUpdated": "2025-07-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/billster45/mcp-chatgpt-responses", "relations": { "works_in": [ "cursor", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/billster45-mcp-chatgpt-responses" }, { "slug": "bintocher-mcp-superset", "name": "bintocher/mcp-superset", "vendor": "Various", "tagline": "MCP server for managing Apache Superset — 128+ tools for dashboards, charts, datasets, SQL Lab, access control", "description": "An MCP server that exposes 128+ tools for managing Apache Superset, including dashboards, charts, datasets, SQL Lab, and access control. It operates as a Python-based server, enabling AI assistants to interact programmatically with Superset instances.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and data teams who want to manage Apache Superset programmatically through AI assistants", "useCases": [ "Automate dashboard creation and chart configuration via natural language commands", "Manage datasets and SQL Lab queries through an AI assistant", "Programmatically control user permissions and access roles in Superset" ], "pros": [ "Extensive tool coverage with over 128 functions for comprehensive Superset management", "Open source with a permissive license and active community on GitHub", "Direct integration with MCP-compatible AI assistants for streamlined workflows" ], "cons": [ "Requires a running Superset instance and network access to function", "Limited to 42 GitHub stars, indicating a small user base and potential for fewer community resources", "Dependency on MCP protocol may restrict use to compatible AI frameworks only" ], "tags": [ "ai-tools", "apache-superset", "claude", "fastmcp", "llm", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 42, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/bintocher/mcp-superset", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "antv-mcp-server-chart", "mckinsey-vizro-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/bintocher-mcp-superset" }, { "slug": "bitatlas-group-bitatlas", "name": "bitatlas-group/bitatlas", "vendor": "Various", "tagline": "Zero Knowledge Cloud Drive for Humans and Agents", "description": "A zero-knowledge encrypted cloud drive designed for both human users and automated agents. The repository uses MDX for documentation and specification, indicating a focus on defining the protocol or interface rather than a production-ready implementation.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers evaluating zero-knowledge architectures for agent-accessible cloud storage", "useCases": [ "Store and share files with end-to-end encryption for privacy", "Provide secure storage access for AI agents that need to read or write data", "Host a privacy-preserving file system for team collaboration without server-side visibility" ], "pros": [ "Zero-knowledge encryption ensures the service provider cannot see file contents", "Agent-friendly design allows automated tools to interact securely with stored data", "Open source codebase enables custom deployment and auditability" ], "cons": [ "No stars or community traction suggests limited adoption and testing", "MDX-based repository may be a specification rather than an operational product", "Lacks evidence of a working client or server implementation for practical use" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "MDX" ], "license": "MIT", "lastUpdated": "2026-05-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/bitatlas-group/bitatlas", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "mickaelkerjean-filestash" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/bitatlas-group-bitatlas" }, { "slug": "bit2beat-bitrix24-mcp", "name": "bit2beat/bitrix24-mcp", "vendor": "Various", "tagline": "MCP server that connects Claude AI to Bitrix24 — CRM, tasks, disk, calendar, automations and more", "description": "An MCP server that connects Claude AI to Bitrix24, enabling access to CRM, tasks, disk, calendar and automations. Built in JavaScript with a single GitHub star, it provides a lightweight integration bridge for Claude to interact with Bitrix24 services.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to connect Claude AI to Bitrix24 for task automation and CRM interactions.", "useCases": [ "Automating CRM data retrieval and updates via Claude", "Managing Bitrix24 tasks and calendar events through Claude", "Integrating Claude with Bitrix24 disk and automation workflows" ], "pros": [ "Open-source JavaScript implementation with simple setup", "Directly targets a popular business platform (Bitrix24)", "Follows the MCP standard for Claude compatibility" ], "cons": [ "Very low community adoption (1 star) suggests limited testing and support", "Dependent on Claude API availability and Bitrix24 access", "May lack robust error handling or advanced features due to early stage" ], "tags": [ "anthropic", "bitrix24", "claude", "crm", "mcop", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/bit2beat/bitrix24-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/bit2beat-bitrix24-mcp" }, { "slug": "bitbonsai-mcp-obsidian", "name": "bitbonsai/mcp-obsidian", "vendor": "Various", "tagline": "A lightweight Model Context Protocol (MCP) server for safe Obsidian vault access", "description": "A lightweight server implementing the Model Context Protocol (MCP) to provide safe read and write access to Obsidian vaults. It allows large language models and AI agents to interact with notes and files within a vault while preventing accidental corruption. The server runs locally and exposes vault contents through a standardized MCP interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers integrating AI agents with Obsidian notes while maintaining vault integrity", "useCases": [ "Let LLMs retrieve Obsidian notes as context for conversations", "Automate note creation and organization from AI agent workflows", "Provide sandboxed access to vault files for external tools" ], "pros": [ "Lightweight and easy to set up", "Designed for safe access to avoid vault corruption", "Uses the standard MCP protocol for broad tool compatibility" ], "cons": [ "Requires Obsidian vault and MCP client configuration", "May not support all Obsidian features like attachments or canvas", "Limited to local machine deployment by default" ], "tags": [], "featured": false, "tier": "curated", "stars": 1336, "language": [ "Astro" ], "lastUpdated": "2026-05-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/bitbonsai/mcp-obsidian", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/bitbonsai-mcp-obsidian" }, { "slug": "bitrise-io-bitrise-mcp", "name": "bitrise-io/bitrise-mcp", "vendor": "Various", "tagline": "MCP Server for the Bitrise API, enabling app management, build operations, artifact management and more.", "description": "A Model Context Protocol server that wraps the Bitrise API. It enables MCP-compatible clients to manage apps, trigger builds, and access artifacts on Bitrise. Maintained by Bitrise and written in Go.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Builders integrating Bitrise CI/CD workflows with AI agents or MCP-compatible applications", "useCases": [ "Trigger builds from an AI assistant or MCP client", "List and download build artifacts via MCP", "Manage app settings and configurations programmatically" ], "pros": [ "Official integration from Bitrise, ensuring API compatibility", "Written in Go for performance and reliability", "Adheres to the MCP standard for interoperability with AI tools" ], "cons": [ "MCP is a new protocol with limited ecosystem support", "Low star count (38) indicates early-stage adoption and community", "Requires a Bitrise account and API token to use" ], "tags": [ "bitrise", "mcp", "mcp-server", "mcp-servers" ], "featured": false, "tier": "curated", "stars": 38, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/bitrise-io/bitrise-mcp", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp", "sooperset-mcp-atlassian" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/bitrise-io-bitrise-mcp" }, { "slug": "bitteprotocol-mcp", "name": "bitteprotocol/mcp", "vendor": "Various", "tagline": "📇 - Bitte Protocol integration to run AI Agents on several blockchains.", "description": "Bitte Protocol integration lets developers run AI agents across multiple blockchains via a Model Context Protocol server. It provides a standardized way for agents to interact with blockchain data and transactions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to interact with multiple blockchains through a unified protocol", "useCases": [ "Deploy AI agents that execute cross-chain blockchain operations", "Build tools for reading on-chain data through a unified interface", "Integrate agentic workflows with Bitte Protocol's blockchain infrastructure" ], "pros": [ "Enables multi-chain agent execution from a single integration point", "Written in TypeScript for type safety and broad ecosystem compatibility", "Open source with a permissive license" ], "cons": [ "Small community with only 13 GitHub stars indicates limited adoption", "Depends on Bitte Protocol infrastructure which may change or become unavailable", "Limited documentation and examples due to early stage" ], "tags": [], "featured": false, "tier": "curated", "stars": 13, "language": [ "TypeScript" ], "lastUpdated": "2025-04-09", "addedAt": "2026-06-01", "officialLink": "https://github.com/BitteProtocol/mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/bitteprotocol-mcp" }, { "slug": "blackwell-systems-agent-lsp", "name": "blackwell-systems/agent-lsp", "vendor": "Various", "tagline": "Your coding agent is editing blind. agent-lsp gives it type-aware navigation, blast-radius analysis, and pre-verified edits. 50 tools, 21 skills, 30 languages.", "description": "agent-lsp is a Go-based tool that provides coding agents with type-aware navigation, blast-radius analysis, and pre-verified edits. It exposes 50 tools and 21 skills across 30 programming languages, enabling agents to edit code with awareness of project structure and potential impacts.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building or enhancing coding agents that need type-aware, safe code modification across many languages", "useCases": [ "Give an agent type-aware code navigation and refactoring capabilities", "Analyze the blast radius of a proposed edit before applying it", "Pre-verify edits to reduce errors in automated code changes" ], "pros": [ "Supports 30 languages, making it broadly applicable", "Provides concrete tools and skills for agentic code editing", "Reduces blind edits with pre-verification and impact analysis" ], "cons": [ "Limited community adoption with only 46 GitHub stars", "Requires integration into existing agent workflows", "Go-based tool may not fit all development environments" ], "tags": [ "agentskills", "ai-agents", "ai-tooling", "claude", "claude-code", "code-intelligence", "code-quality", "coding-agent" ], "featured": false, "tier": "curated", "stars": 46, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-05-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/blackwell-systems/agent-lsp", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/blackwell-systems-agent-lsp" }, { "slug": "bivex-kanboard-mcp", "name": "bivex/kanboard-mcp", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server written in Go that empowers AI agents and Large Language Models (LLMs) to seamlessly interact with Kanboard. It transforms natural language co", "description": "A Go-based Model Context Protocol server for Kanboard. It allows AI agents to manage projects, tasks, and users through natural language commands translated into Kanboard API calls.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Teams already using Kanboard who want to automate workflows through AI assistants", "useCases": [ "Automating task creation and assignment from chat prompts", "Managing Kanban boards via voice or text commands", "Integrating AI assistants with Kanboard for project updates" ], "pros": [ "Lightweight Go implementation with no external dependencies", "Direct API integration for real-time Kanboard manipulation", "Open source with community contributions" ], "cons": [ "Limited to Kanboard; no support for other project management tools", "Requires running a separate MCP server and configuring an AI agent", "Small user base may mean fewer examples and support" ], "tags": [ "ai-agent", "go", "json-rpc", "kanboard", "llm-integration", "mcp", "productivity-tools", "workflow-automation" ], "featured": false, "tier": "curated", "stars": 22, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2025-12-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/bivex/kanboard-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "sooperset-mcp-atlassian" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/bivex-kanboard-mcp" }, { "slug": "blackmount-ai-blackmount-nlp-mcp", "name": "BlackMount-ai/blackmount-nlp-mcp", "vendor": "Various", "tagline": "NLP without the bloat — sentiment, keywords, readability, summarization. No NLTK, no spaCy. Zero heavy dependencies.", "description": "A lightweight NLP library for sentiment analysis, keyword extraction, readability scoring, and text summarization. It avoids heavy dependencies like NLTK or spaCy, aiming for a minimal footprint.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need basic NLP without adding large dependencies", "useCases": [ "Extract keywords from short text snippets", "Compute readability scores for documents", "Perform basic sentiment analysis on user feedback" ], "pros": [ "Zero heavy dependencies, easy to install and deploy", "Covers common NLP tasks in a single package", "Simple API suitable for quick prototyping" ], "cons": [ "Very small community (1 star) with limited support", "May lack accuracy or features compared to established libraries", "Unclear if it handles non-English text or large volumes" ], "tags": [ "fastmcp", "local-first", "mcp", "mcp-server", "nlp", "python", "readability", "sentiment-analysis" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/BlackMount-ai/blackmount-nlp-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/blackmount-ai-blackmount-nlp-mcp" }, { "slug": "blackwhite084-playwright-plus-python-mcp", "name": "blackwhite084/playwright-plus-python-mcp", "vendor": "Various", "tagline": "🐍 - An MCP python server using Playwright for browser automation,more suitable for llm", "description": "An MCP server built in Python that uses Playwright for browser automation, designed for integration with LLMs. It exposes Playwright's capabilities through the Model Context Protocol, enabling language models to control browsers programmatically. The tool simplifies web interaction tasks for AI-driven workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building LLM agents that need browser automation capabilities", "useCases": [ "Automating browser tasks with LLM-driven agents", "Performing end-to-end testing orchestrated by AI", "Extracting data from web pages via natural language commands" ], "pros": [ "Optimized for LLM integration via the Model Context Protocol", "Leverages Playwright for cross-browser and modern web automation", "Python-based, easy to incorporate into existing AI and data pipelines" ], "cons": [ "Small community (187 stars) may indicate limited long-term maintenance", "Minimal documentation beyond a one-line description", "Relatively new project without proven production track record" ], "tags": [], "featured": false, "tier": "curated", "stars": 187, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2025-01-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/blackwhite084/playwright-plus-python-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "executeautomation-playwright-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/blackwhite084-playwright-plus-python-mcp" }, { "slug": "blazickjp-arxiv-mcp-server", "name": "blazickjp/arxiv-mcp-server", "vendor": "Various", "tagline": "A Model Context Protocol server for searching and analyzing arXiv papers", "description": "A Model Context Protocol server that lets AI agents search and retrieve academic papers from arXiv. Built in Python, it provides structured access to paper metadata and abstracts.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to query and summarize academic research papers.", "useCases": [ "Integrate arXiv paper search into an AI assistant", "Automate literature review by querying papers via API", "Enable AI tools to analyze arXiv submissions in real time" ], "pros": [ "High community adoption with over 2,800 GitHub stars", "Standardized MCP interface for easy integration with AI agents", "Python implementation simplifies customization and extension" ], "cons": [ "Limited to arXiv papers, not covering other academic databases", "Requires running a local server or deployment infrastructure", "May not handle large-scale concurrent requests efficiently" ], "tags": [ "ai", "arxiv", "claude-ai", "gpt", "llm", "mcp-server", "model-context-protocol", "papers" ], "featured": false, "tier": "curated", "stars": 2807, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-05-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/blazickjp/arxiv-mcp-server", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/blazickjp-arxiv-mcp-server" }, { "slug": "blakerouse-ssh-mcp", "name": "blakerouse/ssh-mcp", "vendor": "Various", "tagline": "SSH MCP server that runs locally making it easy to manage hosts and perform commands across a group of hosts", "description": "An MCP server written in Go that runs locally to manage SSH hosts and execute commands across groups of hosts. It provides a structured interface for remote command execution and host management.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a lightweight, local MCP server for managing and executing commands on multiple SSH hosts", "useCases": [ "Run commands across multiple remote servers simultaneously", "Manage SSH host configurations from a centralized tool", "Automate remote server administration tasks" ], "pros": [ "Lightweight Go binary with no external dependencies", "Enables batch command execution across host groups", "Simple local setup for SSH management" ], "cons": [ "Very early stage with only 15 GitHub stars and limited community", "No built-in authentication or credential management beyond SSH keys", "Limited documentation and examples for complex use cases" ], "tags": [], "featured": false, "tier": "curated", "stars": 15, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-05-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/blakerouse/ssh-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "wonderwhy-er-desktopcommandermcp", "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/blakerouse-ssh-mcp" }, { "slug": "blockrunai-x-grow", "name": "BlockRunAI/x-grow", "vendor": "Various", "tagline": "📇 ☁️ - X/Twitter algorithm optimizer with post drafting, review scoring, and AI image generation for maximum engagement.", "description": "BlockRunAI/x-grow is an open-source tool that optimizes X/Twitter posts for the platform's algorithm. It provides post drafting, review scoring, and AI image generation to help increase engagement.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and content creators who want to optimize X/Twitter posts algorithmically.", "useCases": [ "Draft and score tweets for algorithmic performance", "Generate AI images to accompany posts", "Review and refine content before publishing" ], "pros": [ "Open-source and free to use", "Combines drafting, scoring, and image generation in one tool", "Focuses on maximizing engagement" ], "cons": [ "Requires GitHub and technical setup", "Effectiveness depends on algorithm changes", "Limited to X/Twitter platform" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/BlockRunAI/x-grow", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/blockrunai-x-grow" }, { "slug": "blockrunai-blockrun-mcp", "name": "blockrunai/blockrun-mcp", "vendor": "Various", "tagline": "Live data for AI agents — search, research, markets, crypto, X/Twitter. Pay-per-call via x402 micropayments.", "description": "A TypeScript MCP server that gives AI agents live access to search, research, markets, crypto, and X/Twitter data. Each call is billed via x402 micropayments, enabling pay-per-use data retrieval without subscriptions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need on-demand live data without recurring subscriptions.", "useCases": [ "Fetch real-time market or crypto prices for analysis", "Search recent X/Twitter posts for research", "Query live web data during agent reasoning loops" ], "pros": [ "No monthly subscription model, only pay per call", "Covers multiple live data sources in one tool", "Written in TypeScript with standard MCP protocol integration" ], "cons": [ "Requires x402 payment infrastructure to use", "Data source availability depends on third-party providers", "Limited to publicly available live data streams" ], "tags": [ "ai", "claude-code", "llm", "mcp", "mcp-server", "x402" ], "featured": false, "tier": "curated", "stars": 472, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/blockrunai/blockrun-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "exa-labs-exa-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/blockrunai-blockrun-mcp" }, { "slug": "blurrah-mcp-graphql", "name": "blurrah/mcp-graphql", "vendor": "Various", "tagline": "Model Context Protocol server for GraphQL", "description": "A Model Context Protocol (MCP) server that enables AI assistants to query, mutate, and introspect GraphQL APIs. Built in TypeScript, it acts as a bridge between MCP-compatible clients and any GraphQL endpoint.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers adding GraphQL query capabilities to AI assistants or chatbots via the Model Context Protocol", "useCases": [ "Query GraphQL data from an AI assistant conversation", "Execute mutations to modify backend state via natural language", "Introspect GraphQL schemas to understand available types and fields" ], "pros": [ "Easy integration with any MCP-compatible AI client", "Written in TypeScript with strong typing and community support", "Acts as a generic adapter, working with any GraphQL API" ], "cons": [ "Requires a separate MCP client or host to be useful", "Limited to GraphQL endpoints, not a general-purpose API tool", "May need custom configuration for authentication or complex queries" ], "tags": [ "ai", "llm", "mcp", "mcp-server", "modelcontextprotocol" ], "featured": false, "tier": "curated", "stars": 389, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-09-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/blurrah/mcp-graphql", "relations": { "works_in": [ "continue", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/blurrah-mcp-graphql" }, { "slug": "bluzername-lennys-quotes", "name": "bluzername/lennys-quotes", "vendor": "Various", "tagline": "📇 🏠 - Query 269 episodes of Lenny's Podcast for product management wisdom. Search 51,000+ transcript segments with YouTube timestamps. Perfect for PRDs, strategy, and PM career a", "description": "This tool lets you query 269 episodes of Lenny's Podcast for product management wisdom. It searches 51,000+ transcript segments with YouTube timestamps. It is useful for building PRDs, strategy documents, and PM career materials.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Product managers who want a quick, searchable way to mine podcast transcripts for advice", "useCases": [ "Search transcripts for product management advice from specific episodes", "Find quotes with timestamps to cite in presentations or documents", "Extract insights for strategy documents or career development" ], "pros": [ "Free and open source with direct transcript access", "Saves hours of manual listening and note-taking", "TypeScript codebase is easy to extend or integrate" ], "cons": [ "Limited to Lenny's Podcast episodes only", "Small community with only 10 stars means limited support", "Requires basic programming knowledge to use effectively" ], "tags": [], "featured": false, "tier": "curated", "stars": 10, "language": [ "TypeScript" ], "lastUpdated": "2026-01-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/bluzername/lennys-quotes", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/bluzername-lennys-quotes" }, { "slug": "bobbyrgoldsmith-quarterback", "name": "bobbyrgoldsmith/quarterback", "vendor": "Various", "tagline": "Strategic task prioritization and agent orchestration for multi-project operators", "description": "Quarterback is a Python library that prioritizes tasks and orchestrates agents across multiple projects. It uses a configurable strategy to decide which task to execute next and which agent should handle it.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building custom multi-agent systems that need a simple task scheduler", "useCases": [ "Automating multi-project task queues with dynamic prioritization", "Coordinating multiple AI agents to work on interdependent tasks", "Building a central dispatcher for project management workflows" ], "pros": [ "Lightweight and focused on a single orchestration problem", "Configurable prioritization strategies for different workflows", "Open source with a permissive license" ], "cons": [ "No community adoption or stars yet, unproven in production", "Limited documentation and examples beyond the repository", "Requires custom integration with existing agent frameworks" ], "tags": [ "agent-orchestration", "cli", "mcp", "mcp-server", "model-context-protocol", "prioritization", "task-management" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/bobbyrgoldsmith/quarterback", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "eyaltoledano-claude-task-master" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/bobbyrgoldsmith-quarterback" }, { "slug": "bogdan01m-zapcap-mcp-server", "name": "bogdan01m/zapcap-mcp-server", "vendor": "Various", "tagline": "MCP Server for ZapCap.ai", "description": "An MCP server that connects AI agents to ZapCap.ai for video captioning and subtitle generation. It implements the Model Context Protocol to allow language models to interact with ZapCap's API programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need automated video captioning", "useCases": [ "Automatically generate captions for videos using AI agents", "Integrate video subtitle workflows into AI-powered applications", "Trigger caption generation from natural language commands via MCP" ], "pros": [ "Enables AI agents to directly access ZapCap's captioning capabilities", "Simple Python implementation for easy customization", "Follows the MCP standard for interoperability with various AI frameworks" ], "cons": [ "Zero stars and limited community adoption may indicate instability or lack of maintenance", "Requires a ZapCap account and API key, adding external dependency", "No documentation or examples provided in the repository" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-09-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/bogdan01m/zapcap-mcp-server", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/bogdan01m-zapcap-mcp-server" }, { "slug": "boikot-xyz-boikot", "name": "boikot-xyz/boikot", "vendor": "Various", "tagline": "keep companies accountable", "description": "boikot-xyz/boikot is an open-source HTML-based tool that helps users track and document corporate accountability. It provides a structured way to record and share information about company practices, enabling collective awareness and action.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Small activist groups or individuals wanting a lightweight, transparent tool to track corporate accountability", "useCases": [ "Documenting company policies or actions for public record", "Building a shared database of corporate accountability data", "Organizing community-driven campaigns around company behavior" ], "pros": [ "Simple HTML foundation makes it easy to fork and customize", "Open-source and community-driven with no vendor lock-in", "Low barrier to entry for contributors familiar with basic web technologies" ], "cons": [ "Very small community (7 stars) limits support and updates", "HTML-only may lack dynamic features for complex data management", "Unclear roadmap or maintenance activity beyond initial release" ], "tags": [ "ethics", "open-data" ], "featured": false, "tier": "curated", "stars": 7, "language": [ "HTML" ], "license": "GPL-3.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/boikot-xyz/boikot", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/boikot-xyz-boikot" }, { "slug": "boldsign-boldsign-mcp", "name": "boldsign/boldsign-mcp", "vendor": "Various", "tagline": "Model Context Protocol (MCP) server for BoldSign API", "description": "Boldsign/boldsign-mcp is a Model Context Protocol (MCP) server that exposes BoldSign's e-signature API through a standardized interface. It allows MCP-compatible clients to send signature requests, manage documents, and retrieve signing status via server-side tool calls.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or MCP-enabled assistants that need to send and manage e-signature requests via BoldSign", "useCases": [ "Automate sending documents for electronic signature from an AI agent", "Check signing status and track completed agreements programmatically", "Integrate e-signature workflows into MCP-based development tools" ], "pros": [ "Provides a clean MCP interface for BoldSign's existing e-signature API", "Written in TypeScript with type safety and modern JavaScript support", "Requires only an API key to get started with ample BoldSign documentation" ], "cons": [ "Tied exclusively to BoldSign; no support for other e-signature providers", "Small community with only 5 stars on GitHub, limited third-party knowledge base", "Depends on network access to BoldSign's API, so offline or air-gapped environments cannot use it" ], "tags": [ "boldsign", "esign", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 5, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-08-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/boldsign/boldsign-mcp", "relations": { "works_in": [ "cline", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/boldsign-boldsign-mcp" }, { "slug": "bolivian-peru-baozi-mcp", "name": "bolivian-peru/baozi-mcp", "vendor": "Various", "tagline": "MCP server for Baozi prediction markets on Solana - 68 tools for AI agents", "description": "This is an MCP server that exposes 68 tools for AI agents to interact with Baozi prediction markets on Solana. It enables automated market operations such as querying markets, placing bets, and managing positions through a standardized protocol. The server is written in TypeScript and connects to the Solana blockchain.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to programmatically participate in Solana-based prediction markets.", "useCases": [ "Automate trading strategies on prediction markets via AI agents.", "Query real-time market data and outcomes programmatically.", "Integrate Baozi functionality into agentic workflows and bots." ], "pros": [ "Offers a large tool surface (68 tools) for comprehensive market interaction.", "Leverages the MCP protocol for standardized agent integration.", "Directly targets a live blockchain prediction market (Solana)." ], "cons": [ "Zero GitHub stars suggests very early-stage or niche project with limited community validation.", "Relies on an external blockchain (Solana), requiring agents to handle transaction costs and network conditions.", "No documented user base or maintenance updates visible." ], "tags": [ "ai-agent", "claude", "defi", "mcp", "model-context-protocol", "prediction-markets", "solana" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/bolivian-peru/baozi-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/bolivian-peru-baozi-mcp" }, { "slug": "bortlesboat-bitcoin-mcp", "name": "Bortlesboat/bitcoin-mcp", "vendor": "Various", "tagline": "The most comprehensive Bitcoin MCP server. 49 tools for AI agents: fees, mempool, blocks, transactions, mining, price, supply. Zero config - works instantly. Claude, Cursor, VS Cod", "description": "A Bitcoin MCP server that provides 49 tools for AI agents to access fees, mempool, blocks, transactions, mining, price, and supply data. It requires zero configuration to get started and integrates with Claude, Cursor, VS Code, and Windsurf. The server is implemented in Python and is open source.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to quickly give their AI agents Bitcoin blockchain data without writing custom connectors", "useCases": [ "Adding real-time Bitcoin fee and mempool queries to an AI coding assistant", "Building an agent that monitors block confirmations and transaction status", "Automating Bitcoin price and supply lookups through LLM tool calls" ], "pros": [ "Zero-config setup works immediately with supported platforms", "49 tools cover a broad range of Bitcoin blockchain data", "Integrates directly with popular AI coding assistants" ], "cons": [ "Low star count (2) signals early stage and limited community adoption", "Requires a Python runtime environment to run", "Depends on external Bitcoin network access for real-time data" ], "tags": [ "ai-agents", "anthropic", "bitcoin", "bitcoin-api", "bitcoin-core", "bitcoin-mcp", "bitcoin-node", "blockchain" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/Bortlesboat/bitcoin-mcp", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/bortlesboat-bitcoin-mcp" }, { "slug": "box-mcp-server-box-remote", "name": "box/mcp-server-box-remote", "vendor": "Various", "tagline": "Securely connect AI agents to your enterprise content in Box", "description": "An MCP server that enables AI agents to read and write files in Box with enterprise security controls. It uses Box's API to authenticate and manage content access. Built for developers integrating AI tools with Box storage.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need secure access to enterprise Box content.", "useCases": [ "Access Box files from AI assistants", "Automate file management in Box using AI agents", "Securely integrate Box content with AI workflows" ], "pros": [ "Leverages Box's existing security and permissions", "Standard MCP protocol for easy integration with AI clients", "Open source with community contributions" ], "cons": [ "Limited to Box's API rate limits and file size constraints", "Requires Box admin setup for authentication", "Relatively new project with fewer stars (3) indicating limited adoption" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [], "license": "MIT", "lastUpdated": "2025-09-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/box/mcp-server-box-remote/", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/box-mcp-server-box-remote" }, { "slug": "botwallet-co-mcp", "name": "botwallet-co/mcp", "vendor": "Various", "tagline": "MCP server for Botwallet — Give any AI agent a wallet via Model Context Protocol. FROST threshold signing, x402 paid APIs, spending guard rails.", "description": "An MCP server that provides AI agents with a wallet through the Model Context Protocol. It uses FROST threshold signing for security, supports x402 paid APIs, and includes spending guard rails.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need integrated payment capabilities", "useCases": [ "Enabling AI agents to make payments directly", "Securing wallet operations with threshold signing", "Setting spending limits for automated transactions" ], "pros": [ "FROST threshold signing enhances security", "x402 paid APIs enable pay-per-use models", "Spending guard rails prevent runaway costs" ], "cons": [ "Low community traction (2 stars on GitHub)", "Possible limited documentation or support", "Tied to Botwallet ecosystem" ], "tags": [ "ai-agent", "botwallet", "claude", "cursor", "frost", "mcp", "model-context-protocol", "payments" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-04-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/botwallet-co/mcp", "relations": { "works_in": [ "cursor", "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/botwallet-co-mcp" }, { "slug": "bradleylab-stella-mcp", "name": "bradleylab/stella-mcp", "vendor": "Various", "tagline": "MCP server for Stella", "description": "A Model Context Protocol (MCP) server that exposes Stella functionality to MCP-compatible clients. It allows developers to integrate Stella capabilities into their workflows through a standardized protocol interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with MCP who want to connect Stella to their toolchain", "useCases": [ "Connecting Stella to MCP-compatible IDEs or chat interfaces", "Building custom toolchains that leverage Stella via MCP", "Prototyping integrations with Stella without writing custom server code" ], "pros": [ "Follows the MCP standard for easy integration with many clients", "Written in Python, a widely accessible language", "Minimal codebase, straightforward to understand and modify" ], "cons": [ "Very early stage with only 1 star and no community traction", "Limited documentation beyond the basic description", "Dependent on Stella, which may have its own constraints" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/bradleylab/stella-mcp", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [ "fastmcp" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/bradleylab-stella-mcp" }, { "slug": "braingrid-mcp", "name": "BrainGrid MCP", "vendor": "Various", "tagline": "Step-by-step guide to install BrainGrid MCP", "description": "BrainGrid MCP is a server that implements the Model Context Protocol to connect AI assistants to BrainGrid's data processing and retrieval capabilities. It provides a step-by-step installation guide to set up the server for integration with compatible AI tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers integrating BrainGrid's data capabilities into MCP-compatible AI assistants.", "useCases": [ "Install and configure the MCP server for BrainGrid integration", "Enable AI assistants to query BrainGrid knowledge graphs and datasets", "Bridge custom AI workflows with BrainGrid's processing pipelines" ], "pros": [ "Straightforward installation guide reduces setup effort", "Leverages standard Model Context Protocol for broad compatibility", "Likely open source or community-driven (vendor listed as Various)" ], "cons": [ "Documentation focused on installation; usage details may be limited", "Dependent on BrainGrid platform availability and account", "Vendor attribution as 'Various' signals unclear long-term maintenance" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://docs.braingrid.ai/mcp-server/installation", "screenshotUrl": "https://braingrid.mintlify.app//images/braingrid-og-social.png", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/braingrid-mcp" }, { "slug": "bram2w-baserow", "name": "bram2w/baserow", "vendor": "Various", "tagline": "Build databases, automations, apps & agents with AI — no code. Open source platform available on cloud and self-hosted. GDPR, HIPAA, SOC 2 compliant. Best Airtable alternative.", "description": "Baserow is an open source platform for building databases, automations, apps, and agents without writing code. It is available as a cloud service or self-hosted and complies with GDPR, HIPAA, and SOC 2 standards.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Teams needing a no-code database with strong compliance and self-hosting flexibility", "useCases": [ "Create custom databases with a spreadsheet-like interface", "Automate workflows with triggers and actions", "Build internal tools and lightweight applications" ], "pros": [ "Open source with self-hosting option for data control", "Compliance with major security standards (GDPR, HIPAA, SOC 2)", "No-code approach lowers barrier for non-developers" ], "cons": [ "Less mature ecosystem than Airtable or Notion", "Self-hosting requires infrastructure management", "Limited advanced features compared to enterprise database tools" ], "tags": [ "airtable", "airtable-alternative", "airtable-replacement", "application-builder", "automations", "dashboards", "database", "low-code" ], "featured": false, "tier": "curated", "stars": 4935, "language": [ "Python" ], "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/bram2w/baserow", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb" ], "alternative_to": [ "airtable" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/bram2w-baserow" }, { "slug": "brand-system-brandsystem-mcp", "name": "Brand-System/brandsystem-mcp", "vendor": "Various", "tagline": "MCP server for progressive brand governance — extract, compile, and audit brand identity systems", "description": "MCP server that extracts, compiles, and audits brand identity systems. It provides a structured way to manage brand governance through the Model Context Protocol. Built in TypeScript for type safety.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Teams needing AI-assisted brand identity management and auditing", "useCases": [ "Extracting brand identity elements from existing sources", "Compiling brand guidelines into a standardized format", "Auditing brand system consistency across repositories" ], "pros": [ "Provides structured extraction of brand identity data", "Integrates with MCP-compatible AI assistants", "TypeScript codebase for type safety" ], "cons": [ "Low community adoption (3 stars)", "Narrow focus on brand identity systems only", "Requires MCP-compatible runtime to function" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/Brand-System/brandsystem-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "glips-figma-context-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/brand-system-brandsystem-mcp" }, { "slug": "brave-brave-search-mcp-server", "name": "brave/brave-search-mcp-server", "vendor": "Various", "tagline": "📇 ☁️ - Web search capabilities using Brave's Search API", "description": "This MCP server acts as a bridge between AI assistants and Brave Search's API. It allows agents to perform web searches programmatically through the Model Context Protocol, returning structured results directly to the assistant.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need on-demand web search capabilities", "useCases": [ "Enable an AI assistant to look up current events or data from the web", "Retrieve real-time information for fact-checking in agent conversations", "Provide search results as context for decision-making or content generation" ], "pros": [ "Simple integration with any MCP-compatible client like Claude Desktop", "Direct access to Brave Search without needing a separate HTTP client", "Leverages Brave's privacy-oriented search index with decent coverage" ], "cons": [ "Requires a Brave Search API key, which may have usage limits or costs", "Search results are limited to Brave's index, which may differ from Google or Bing", "Dependent on the MCP ecosystem, which is still maturing and may change" ], "tags": [], "featured": false, "tier": "curated", "stars": 1126, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/brave/brave-search-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "exa-labs-exa-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/brave-brave-search-mcp-server" }, { "slug": "brave-search", "name": "Brave Search MCP Server", "vendor": "Anthropic (Model Context Protocol)", "tagline": "Expose the Brave Search API as MCP tools — web search, local search, and summarization for any MCP-compatible agent.", "description": "Brave Search MCP Server wraps the Brave Search API as a set of Model Context Protocol tools, giving agents privacy-respecting access to web search, local business/place search, and AI-powered summarization without operating a custom crawler. It lives in the official `modelcontextprotocol/servers` monorepo (brave-search subdirectory) and is one of the most widely deployed reference MCP servers. Agents call the `brave_web_search` and `brave_local_search` tools to retrieve structured results they can reason over, cite, or pass to downstream tools. It works best with Claude Desktop and any MCP-compatible agent host, including Cursor, Windsurf, and custom agent runtimes that speak the MCP stdio transport.", "category": "search", "pricingTier": "freemium", "deployEffort": "one-click", "bestFor": "Claude Desktop users and MCP-compatible agents that need privacy-respecting web and local search without managing a crawler", "useCases": [ "Give a Claude Desktop agent real-time web search without a custom backend", "Run local business or place lookups inside an agent workflow", "Bootstrap a research agent that needs general web context before reasoning", "Combine with a fetch/browser MCP for full search-then-read loops" ], "pros": [ "Official reference implementation — kept current with MCP spec changes", "Exposes both web search and local/place search in a single server", "Privacy-respecting results with no Google API quota gymnastics", "Generous free tier; predictable paid pricing via Brave Search API", "Zero infrastructure — runs as a stdio process alongside any MCP host" ], "cons": [ "Requires a Brave Search API key (free tier available but rate-limited)", "Search quality on long-tail queries can lag behind Google", "Image and video result support is limited", "Summarization quality depends on Brave's AI layer, not the agent's model" ], "tags": [ "search", "web", "brave", "mcp", "reference", "local-search", "research" ], "featured": false, "tier": "curated", "language": [], "addedAt": "2025-01-28", "officialLink": "https://github.com/modelcontextprotocol/servers/tree/main/src/brave-search", "relations": { "works_in": [ "cline", "continue", "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/brave-search" }, { "slug": "briandconnelly-mcp-server-ipinfo", "name": "briandconnelly/mcp-server-ipinfo", "vendor": "Various", "tagline": "IP Geolocation Server for MCP using ipinfo.io", "description": "An MCP server that provides IP geolocation data by querying the ipinfo.io API. It exposes functions for retrieving location information about IP addresses, such as city, region, country, and ISP. The server is built in Python and designed to be used within the Model Context Protocol ecosystem.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based agents that need IP geolocation lookups.", "useCases": [ "Look up the geographic location of a given IP address.", "Retrieve ISP and network information for an IP.", "Verify IP origin or detect anomalies in network logs." ], "pros": [ "Lightweight and easy to integrate into MCP-compatible clients.", "Uses a reliable external API (ipinfo.io) for accurate geolocation.", "Simple Python implementation, straightforward to extend." ], "cons": [ "Requires an ipinfo.io API key, which may have usage limits or cost.", "Only returns data for IPs that ipinfo.io can resolve; limited for private or reserved IPs.", "Not a standalone tool; requires an MCP runtime to function." ], "tags": [], "featured": false, "tier": "curated", "stars": 43, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/briandconnelly/mcp-server-ipinfo", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/briandconnelly-mcp-server-ipinfo" }, { "slug": "brianxiadong-ones-wiki-mcp-server", "name": "brianxiadong/ones-wiki-mcp-server", "vendor": "Various", "tagline": "ones-wiki-mcp-server", "description": "A Java-based MCP server that integrates ONES Wiki with AI assistants. It enables querying and retrieving wiki content through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Teams using ONES Wiki who want AI assistants to access their documentation.", "useCases": [ "Searching ONES wiki pages from an AI chat interface", "Fetching specific wiki documents for context-aware AI responses", "Automating wiki lookups in development workflows" ], "pros": [ "Open source with a permissive license", "Lightweight Java implementation", "Direct integration with ONES Wiki" ], "cons": [ "Limited to ONES Wiki ecosystem", "Small community with only 6 stars", "Requires Java runtime environment" ], "tags": [], "featured": false, "tier": "curated", "stars": 6, "language": [ "Java" ], "lastUpdated": "2025-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/brianxiadong/ones-wiki-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "sooperset-mcp-atlassian" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/brianxiadong-ones-wiki-mcp-server" }, { "slug": "bright-l01-networkx-mcp-server", "name": "Bright-L01/networkx-mcp-server", "vendor": "Various", "tagline": "🕸️ First NetworkX MCP server for graph analysis in AI conversations | Community & Enterprise editions | Graph algorithms • Network analysis • MCP integration", "description": "An MCP server that exposes NetworkX graph algorithms for use within AI conversations. It implements the Model Context Protocol to let AI assistants run graph analysis tasks directly. Community and enterprise editions are available for different deployment needs.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need to perform graph analysis", "useCases": [ "Analyze network graphs via AI chat interfaces", "Run shortest path or centrality algorithms in conversations", "Explore graph structures using natural language prompts" ], "pros": [ "Integrates NetworkX with the MCP standard for AI tool use", "Open-source community edition lowers entry barrier", "Python-based, easy to set up and extend" ], "cons": [ "Low GitHub popularity (16 stars) indicates early adoption", "Requires an MCP-compatible AI client to be useful", "Documentation and community support may be limited" ], "tags": [ "ai-tools", "algorithms", "community-detection", "enterprise", "first-of-kind", "graph-algorithms", "graph-analysis", "mcp" ], "featured": false, "tier": "curated", "stars": 16, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/Bright-L01/networkx-mcp-server", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/bright-l01-networkx-mcp-server" }, { "slug": "bright8192-esxi-mcp-server", "name": "bright8192/esxi-mcp-server", "vendor": "Various", "tagline": "A VMware ESXi/vCenter management server based on MCP (Model Control Protocol), providing simple REST API interfaces for virtual machine management.", "description": "A Python-based server that provides a REST API for managing VMware ESXi and vCenter virtual machines using the Model Control Protocol (MCP). It enables programmatic control of VM lifecycle operations through simple HTTP endpoints.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to manage VMware VMs through an MCP-based REST interface", "useCases": [ "Automating VM provisioning and decommissioning in a VMware cluster", "Querying VM states and metadata via REST calls", "Integrating ESXi management into larger MCP-based automation pipelines" ], "pros": [ "Lightweight Python implementation with minimal dependencies", "Simple REST API design reduces learning curve", "Open source with MIT license" ], "cons": [ "Small user base (59 stars) may limit community support", "Documentation and examples may be sparse", "Limited to basic VM management operations indicated by 'simple' API" ], "tags": [], "featured": false, "tier": "curated", "stars": 59, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-07-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/bright8192/esxi-mcp-server", "relations": { "works_in": [ "cline", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/bright8192-esxi-mcp-server" }, { "slug": "brndmk-brandomica-mcp-server", "name": "BRNDMK/brandomica-mcp-server", "vendor": "Various", "tagline": "BRNDMK/brandomica-mcp-server — indexed from awesome-mcp-servers-punkpeye", "description": "BRNDMK/brandomica-mcp-server is a server implementing the Model Context Protocol (MCP). It is indexed from the awesome-mcp-servers community collection. The server enables AI tools to interact with external services through the MCP standard.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers seeking MCP servers to integrate external services into AI workflows", "useCases": [ "Integrating with MCP-compatible AI clients and assistants", "Providing structured context or data to language models via MCP", "Extending AI toolchains with custom server-side logic" ], "pros": [ "Follows the MCP standard, making it compatible with many AI clients", "Listed in a popular MCP server directory, aiding discoverability", "Open source repository allows inspection and contribution" ], "cons": [ "Documentation is minimal; usage relies on general MCP knowledge", "Specific capabilities are not evident from the repository alone", "Community-maintained, so updates and support may be inconsistent" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/BRNDMK/brandomica-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/brndmk-brandomica-mcp-server" }, { "slug": "browseai-hq-browserai-dev", "name": "BrowseAI-HQ/BrowserAI-Dev", "vendor": "Various", "tagline": "Reliable research infrastructure for AI agents. Evidence-backed web search with citations, confidence scores, and Clarity anti-hallucination. MCP server, REST API, Python SDK.", "description": "Provides reliable web search infrastructure for AI agents, returning results with citations and confidence scores. Includes Clarity anti-hallucination and offers integration via MCP server, REST API, and Python SDK.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that require evidence-backed web search with citations", "useCases": [ "Retrieving web search results with citations for AI agents", "Evaluating search result confidence to reduce hallucination", "Integrating evidence-backed search into agent workflows via MCP or API" ], "pros": [ "Provides citations and confidence scores for search results", "Includes Clarity anti-hallucination mechanism", "Offers multiple integration options (MCP, REST, Python SDK)" ], "cons": [ "Small community (19 stars) indicates early development stage", "Limited third-party integrations or plugins", "May require self-hosting or API key for web search" ], "tags": [ "agent-tools", "ai-agent", "anti-hallucination", "browseai-dev", "browseaidev", "citations", "clarity", "crewai" ], "featured": false, "tier": "curated", "stars": 19, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-05-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/BrowseAI-HQ/BrowserAI-Dev", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "executeautomation-playwright-mcp-server", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/browseai-hq-browserai-dev" }, { "slug": "browserbase-mcp-server-browserbase", "name": "browserbase/mcp-server-browserbase", "vendor": "Various", "tagline": "Allow LLMs to control a browser with Browserbase and Stagehand", "description": "This MCP server allows large language models to control a browser using Browserbase and Stagehand. It provides a standardized interface for browser automation tasks. The tool is open source and written in TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building LLM-powered browser automation agents", "useCases": [ "Automating web interactions through LLM commands", "Extracting data from dynamic web pages", "Testing web applications with natural language instructions" ], "pros": [ "High community trust with over 3300 stars", "Integrates Browserbase and Stagehand for robust browser control", "TypeScript provides type safety and developer tooling" ], "cons": [ "Requires setup of Browserbase and Stagehand dependencies", "May have latency due to LLM processing overhead", "Limited to browser-based tasks only" ], "tags": [ "ai", "browser", "chrome", "chromium", "mcp", "playwright", "puppeteer" ], "featured": false, "tier": "curated", "stars": 3364, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-05-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/browserbase/mcp-server-browserbase", "relations": { "works_in": [ "cline", "claude-code", "cursor" ], "uses": [ "browserbase" ], "built_with": [], "pairs_with": [], "alternative_to": [ "agent-infra-mcp-server-browser", "browsermcp-mcp", "executeautomation-playwright-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/browserbase-mcp-server-browserbase" }, { "slug": "browsermcp-mcp", "name": "browsermcp/mcp", "vendor": "Various", "tagline": "Browser MCP is a Model Context Provider (MCP) server that allows AI applications to control your browser", "description": "Browser MCP is a Model Context Provider server written in TypeScript. It enables AI applications to programmatically control a web browser. The server exposes browser actions like navigation, clicking, and form filling through the MCP protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to give AI agents direct control over a web browser", "useCases": [ "Automating web-based tasks through an AI agent", "Building end-to-end browser tests driven by language models", "Integrating browser control into LLM-powered workflows" ], "pros": [ "Open-source and widely adopted with over 6500 stars", "Written in TypeScript, making it accessible to many developers", "Provides a standardized MCP interface for browser automation" ], "cons": [ "Requires running a dedicated MCP server, adding deployment complexity", "Browser automation reliability depends on the underlying browser and page state", "Limited to actions exposed by the MCP protocol, may not cover all browser APIs" ], "tags": [ "browser-automation", "browser-extension", "claude", "cursor", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 6594, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2025-04-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/browsermcp/mcp", "relations": { "works_in": [ "cursor", "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "agent-infra-mcp-server-browser", "executeautomation-playwright-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/browsermcp-mcp" }, { "slug": "brunokrugel-echo-mcp", "name": "BrunoKrugel/echo-mcp", "vendor": "Various", "tagline": "Enable AI assistants to interact with your Echo API", "description": "A Go-based MCP server that allows AI assistants to interact with an Echo API. It implements the Model Context Protocol to expose Echo API endpoints for AI model consumption.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a minimal MCP server to experiment with AI assistant integration using an Echo API.", "useCases": [ "Enabling AI assistants to send test requests to an Echo API for debugging", "Building AI-powered applications that require a simple echoing service", "Prototyping MCP integrations with a minimal, reflective API backend" ], "pros": [ "Lightweight and simple, focused on a single purpose", "Written in Go, offering good performance and easy deployment", "Minimal dependencies, straightforward to self-host" ], "cons": [ "Very limited functionality (only echo endpoints)", "Low community adoption (9 stars) with minimal documentation or support", "Not suitable for production use beyond basic testing or MCP demos" ], "tags": [ "claude", "echo-framework", "go", "golang", "mcp", "vscode" ], "featured": false, "tier": "curated", "stars": 9, "language": [ "Go" ], "license": "GPL-3.0", "lastUpdated": "2026-03-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/BrunoKrugel/echo-mcp", "relations": { "works_in": [ "continue", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/brunokrugel-echo-mcp" }, { "slug": "bruno-portfolio-agrobr-mcp", "name": "bruno-portfolio/agrobr-mcp", "vendor": "Various", "tagline": "MCP server for Brazilian agricultural data — connect LLMs to 10 public data sources via agrobr", "description": "An MCP server that exposes Brazilian agricultural data from 10 public sources to LLMs. It uses the agrobr library to convert raw datasets into a structured interface compatible with the Model Context Protocol. Developers can query crop statistics, weather data, and government reports through this server.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building LLM applications that need real-time or historical Brazilian agricultural data", "useCases": [ "Query Brazilian crop yields and harvest data", "Access public agricultural statistics from government APIs", "Integrate farm-level data into LLM-based decision support tools" ], "pros": [ "Open source and free to use", "Unifies 10 disparate public data sources under one MCP interface", "Simplifies LLM integration with Brazilian agricultural datasets" ], "cons": [ "Limited to Brazilian agricultural data only", "Small community (24 stars) and potentially less active maintenance", "Requires familiarity with MCP and the agrobr library" ], "tags": [], "featured": false, "tier": "curated", "stars": 24, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/bruno-portfolio/agrobr-mcp", "relations": { "works_in": [ "cline", "cursor", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/bruno-portfolio-agrobr-mcp" }, { "slug": "brutalzinn-simple-mcp-selenium", "name": "brutalzinn/simple-mcp-selenium", "vendor": "Various", "tagline": "This is just a tool to use a chrome driver that exposes a MCP server to be easily to use with Cursor IDE", "description": "A lightweight MCP server wrapper around Selenium's ChromeDriver. It lets developers control a Chrome browser through the Model Context Protocol, making it directly usable from Cursor IDE and other MCP-compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to control a Chrome browser from Cursor IDE via MCP", "useCases": [ "Automate browser interactions from Cursor IDE", "Control Chrome for web scraping or testing", "Integrate browser automation into AI-assisted coding workflows" ], "pros": [ "Simple setup for connecting Chrome to Cursor IDE", "Uses standard MCP protocol for wide compatibility", "Lightweight TypeScript implementation" ], "cons": [ "Limited to ChromeDriver (no Firefox or Edge support)", "Project has no stars or community backing, stability unverified", "Requires separate ChromeDriver installation and management" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "lastUpdated": "2025-11-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/brutalzinn/simple-mcp-selenium", "relations": { "works_in": [ "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "browsermcp-mcp", "agent-infra-mcp-server-browser", "executeautomation-playwright-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/brutalzinn-simple-mcp-selenium" }, { "slug": "bubilife1202-crossfin", "name": "bubilife1202/crossfin", "vendor": "Various", "tagline": "The only way AI agents access Asian crypto markets. Routing engine + x402 payments across 9 exchanges.", "description": "A TypeScript routing engine that enables AI agents to access Asian crypto markets. It facilitates payments via the x402 protocol across nine exchanges. The tool is designed specifically for automated trading and payment execution in Asian cryptocurrency venues.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to trade or pay on Asian crypto exchanges", "useCases": [ "Route trades across multiple Asian crypto exchanges from an AI agent", "Enable automated x402 payments for crypto trading bots", "Integrate Asian market access into AI-driven trading strategies" ], "pros": [ "Covers nine Asian crypto exchanges in a single engine", "Written in TypeScript for straightforward integration with TypeScript projects", "Addresses a niche need for AI agents in Asian crypto markets" ], "cons": [ "Zero stars on GitHub indicates very early stage with no community validation", "Limited to Asian markets, not useful for global or Western exchanges", "Relies on x402 protocol which may have limited adoption and documentation" ], "tags": [ "ai-agents", "cloudflare-workers", "crypto-routing", "cryptocurrency", "defi", "kimchi-premium", "korea", "mcp" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-02-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/bubilife1202/crossfin", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/bubilife1202-crossfin" }, { "slug": "bug-breeder-quip-mcp", "name": "bug-breeder/quip-mcp", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server that provides AI assistants with access to Quip documents", "description": "A Model Context Protocol (MCP) server written in Go that enables AI assistants to access and interact with Quip documents. It implements the MCP standard to bridge AI tools with Quip's document storage and collaboration features.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a minimal, protocol-based bridge between AI assistants and Quip documents", "useCases": [ "Connecting an AI coding assistant to read Quip documentation during development", "Building a chatbot that retrieves meeting notes or project specs from Quip", "Automating document summarization or search across Quip workspaces" ], "pros": [ "Open source and written in Go, making it lightweight and easy to deploy", "Follows the Model Context Protocol, allowing integration with any MCP-compatible AI assistant", "Simple codebase that can be extended or customized for specific Quip workflows" ], "cons": [ "Very early stage with only 1 star on GitHub, indicating limited adoption and testing", "No documented support for Quip authentication or advanced features like document editing", "Lacks a community or usage examples, making troubleshooting potentially difficult" ], "tags": [ "golang", "mcp", "mcp-server", "model-context-protocol", "quip" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2025-08-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/bug-breeder/quip-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "sooperset-mcp-atlassian" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/bug-breeder-quip-mcp" }, { "slug": "buildepicshit-wick", "name": "buildepicshit/Wick", "vendor": "Various", "tagline": "Roslyn-enriched C# exception telemetry for Godot Engine, exposed over MCP", "description": "Wick provides Roslyn-enriched C# exception telemetry for Godot Engine, exposing structured exception data over the Model Context Protocol (MCP). It hooks into Godot's runtime to capture exceptions and uses Roslyn to analyze source code context, then serializes the enriched telemetry for consumption by MCP-compatible tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Godot developers using C# who want AI-assisted exception debugging via MCP", "useCases": [ "Debugging runtime exceptions in Godot C# projects with enriched context", "Integrating exception telemetry into AI-assisted debugging workflows via MCP", "Analyzing exception patterns during game development to identify code issues" ], "pros": [ "Leverages Roslyn for deep source-level context in exception reports", "MCP integration allows flexible consumption by external tools or agents", "Lightweight, focused addition to Godot's existing debugging capabilities" ], "cons": [ "Limited adoption (15 stars) suggests early stage or niche utility", "Requires both Godot Engine and a C# development environment configured with MCP", "Dependency on MCP may add overhead for developers not already using that protocol" ], "tags": [ "ai-tools", "csharp", "debugging", "diagnostics", "dotnet", "exception-handling", "game-development", "godot" ], "featured": false, "tier": "curated", "stars": 15, "language": [ "C#" ], "license": "MIT", "lastUpdated": "2026-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/buildepicshit/Wick", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "coding-solo-godot-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/buildepicshit-wick" }, { "slug": "buildkite-buildkite-mcp-server", "name": "buildkite/buildkite-mcp-server", "vendor": "Various", "tagline": "Official MCP Server for Buildkite.", "description": "An MCP server that enables AI agents to interact with Buildkite's CI/CD pipelines. It implements the Model Context Protocol to expose Buildkite resources and tools to AI assistants. Built in Go, it provides a standardized interface for querying builds, pipelines, and triggering actions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Teams using Buildkite who want to control CI/CD through AI assistants.", "useCases": [ "Trigger builds from AI chat", "Monitor pipeline status via AI assistant", "Automate CI/CD workflows with natural language commands" ], "pros": [ "Official integration maintained by Buildkite team", "Leverages MCP standard for broad AI tool compatibility", "Lightweight Go binary with minimal dependencies" ], "cons": [ "Requires a running MCP client or host", "Limited to Buildkite's API capabilities", "Relatively new with small community (49 stars)" ], "tags": [ "buildkite", "mcp-server" ], "featured": false, "tier": "curated", "stars": 49, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/buildkite/buildkite-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "sooperset-mcp-atlassian" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/buildkite-buildkite-mcp-server" }, { "slug": "buildsyncinc-gibs-mcp", "name": "buildsyncinc/gibs-mcp", "vendor": "Various", "tagline": "Gibs MCP Server — EU regulatory compliance for AI agents (AI Act, GDPR, DORA)", "description": "A server that provides EU regulatory compliance checks for AI agents, covering the AI Act, GDPR, and DORA. It integrates with the Model Context Protocol (MCP) to offer compliance validation during agent development.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents for the European market", "useCases": [ "Validate AI agent behavior against EU AI Act requirements", "Check data handling practices for GDPR compliance", "Ensure operational resilience per DORA framework" ], "pros": [ "Provides targeted compliance checks for major EU regulations", "Integrates directly into AI agent workflows via MCP", "Helps developers avoid regulatory pitfalls early" ], "cons": [ "Small community and limited adoption (6 stars)", "May not cover all edge cases in evolving regulations", "Depends on the MCP ecosystem for full usefulness" ], "tags": [], "featured": false, "tier": "curated", "stars": 6, "language": [], "lastUpdated": "2026-02-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/buildsyncinc/gibs-mcp", "relations": { "works_in": [ "claude-code", "cursor", "cline" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/buildsyncinc-gibs-mcp" }, { "slug": "bulatko-vk-mcp-server", "name": "bulatko/vk-mcp-server", "vendor": "Various", "tagline": "Model Context Protocol (MCP) server for VK (VKontakte) social network API", "description": "A Model Context Protocol server that wraps the VKontakte social network API, enabling LLMs to interact with VK data through standardized MCP tools. It translates natural language requests into VK API calls for actions like fetching posts, user profiles, and messages.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need to interact with VKontakte social data", "useCases": [ "Retrieve VK user profiles and public posts via conversational AI", "Manage VK messages and notifications through an LLM interface", "Integrate VK social data into AI agents or chat applications" ], "pros": [ "Simplifies VK API access for LLM-based tools using MCP standard", "Lightweight JavaScript implementation with low overhead", "Open source with permissive license for customization" ], "cons": [ "Limited to VKontakte ecosystem, not useful for other social platforms", "Requires VK API credentials and proper authentication setup", "Small community and few stars indicate early-stage project" ], "tags": [], "featured": false, "tier": "curated", "stars": 4, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/bulatko/vk-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "lharries-whatsapp-mcp", "klavis-ai-youtube" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/bulatko-vk-mcp-server" }, { "slug": "burningion-video-editing-mcp", "name": "burningion/video-editing-mcp", "vendor": "Various", "tagline": "MCP Interface for Video Jungle", "description": "An MCP (Model Context Protocol) server that exposes Video Jungle's video editing capabilities to AI assistants. It allows LLMs to perform operations like trimming, concatenating, and adding effects to video files through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to perform basic video editing operations programmatically.", "useCases": [ "Automate video editing workflows via AI assistant prompts", "Integrate video processing into agent-based pipelines", "Programmatically apply effects and cuts to video clips" ], "pros": [ "Enables natural language control of video editing tasks", "Leverages existing Video Jungle functionality through MCP", "Open source with active community (271 stars)" ], "cons": [ "Requires Video Jungle to be installed and configured separately", "Limited to operations supported by Video Jungle's API", "Python dependency may not suit all deployment environments" ], "tags": [], "featured": false, "tier": "curated", "stars": 271, "language": [ "Python" ], "lastUpdated": "2025-10-09", "addedAt": "2026-06-01", "officialLink": "https://github.com/burningion/video-editing-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/burningion-video-editing-mcp" }, { "slug": "burtthecoder-mcp-dnstwist", "name": "BurtTheCoder/mcp-dnstwist", "vendor": "Various", "tagline": "MCP server for dnstwist, a powerful DNS fuzzing tool that helps detect typosquatting, phishing, and corporate espionage.", "description": "An MCP server wrapping dnstwist, a DNS fuzzing tool that generates domain permutations to detect typosquatting, phishing, and corporate espionage. It accepts a domain and returns a list of similar domains with their DNS records and threat classifications.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Security engineers and developers who need to automate typosquatting detection in MCP-based toolchains.", "useCases": [ "Scan for lookalike domains targeting your brand", "Automate phishing domain discovery in security pipelines", "Integrate domain threat intelligence into MCP-compatible assistants" ], "pros": [ "Leverages the well-established dnstwist engine for accurate fuzzing", "Simple MCP interface makes it easy to plug into AI workflows", "Lightweight JavaScript implementation with clear output" ], "cons": [ "Limited to DNS-based detection, no deep content analysis", "Requires an MCP-compatible host to run", "Small community (50 stars) may mean slower updates" ], "tags": [ "dns", "javascript", "mcp", "phishing", "security", "typosquatting" ], "featured": false, "tier": "curated", "stars": 50, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2025-03-03", "addedAt": "2026-06-01", "officialLink": "https://github.com/BurtTheCoder/mcp-dnstwist", "relations": { "works_in": [ "cline", "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/burtthecoder-mcp-dnstwist" }, { "slug": "burtthecoder-mcp-maigret", "name": "BurtTheCoder/mcp-maigret", "vendor": "Various", "tagline": "MCP server for maigret, a powerful OSINT tool that collects user account information from various public sources.", "description": "An MCP server that wraps the maigret OSINT tool, enabling automated collection of user account information from public sources. It exposes maigret's search capabilities through the Model Context Protocol for integration with AI assistants.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need to perform OSINT username lookups", "useCases": [ "Search for a username across hundreds of social platforms and forums", "Aggregate public profile data for digital footprint analysis", "Automate OSINT reconnaissance within AI-assisted workflows" ], "pros": [ "Leverages maigret's extensive site coverage for broad username searches", "Simple MCP interface allows easy integration with AI tools", "Open source with active community (242 stars)" ], "cons": [ "Depends on maigret's accuracy and site availability for results", "Limited to username-based searches, not deeper profile scraping", "Requires running an MCP-compatible host to use" ], "tags": [ "javascript", "maigret", "mcp", "osint", "social-media", "username-search" ], "featured": false, "tier": "curated", "stars": 242, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-01-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/BurtTheCoder/mcp-maigret", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "browsermcp-mcp", "exa-labs-exa-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/burtthecoder-mcp-maigret" }, { "slug": "burtthecoder-mcp-shodan", "name": "BurtTheCoder/mcp-shodan", "vendor": "Various", "tagline": "MCP server for Shodan — search internet-connected devices, IP reconnaissance, DNS lookups, and CVE/CPE vulnerability intelligence. Works with Claude Code, Codex, Gemini CLI, and Cl", "description": "This MCP server provides a bridge between AI coding assistants and Shodan's search engine for internet-connected devices. It enables IP reconnaissance, DNS lookups, and vulnerability intelligence via CVE/CPE queries. The server works with Claude Code, Codex, Gemini CLI, and Claude Desktop.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and security researchers needing Shodan data in AI coding assistants", "useCases": [ "IP reconnaissance and device discovery", "DNS lookups and geolocation of network infrastructure", "CVE/CPE vulnerability lookup for exposed services" ], "pros": [ "Works with multiple AI assistant CLIs (Claude Code, Codex, Gemini CLI, Claude Desktop)", "Accesses Shodan's comprehensive internet device search and vulnerability data", "Lightweight TypeScript MCP server easy to integrate" ], "cons": [ "Requires a paid Shodan API key for full functionality", "Limited to internet-exposed devices indexed by Shodan", "Depends on MCP protocol compatibility (requires supporting client)" ], "tags": [ "ai-tools", "claude", "cpe", "cve", "cybersecurity", "dns", "ip-lookup", "mcp" ], "featured": false, "tier": "curated", "stars": 133, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/BurtTheCoder/mcp-shodan", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/burtthecoder-mcp-shodan" }, { "slug": "butterlatte-zhang-unity-ai-bridge", "name": "butterlatte-zhang/unity-ai-bridge", "vendor": "Various", "tagline": "Remote-control Unity Editor from any AI IDE — 62 tools including AI-powered profiling & light probes. File-based IPC, zero dependencies.", "description": "A C# plugin that exposes 62 Unity Editor tools via file-based IPC, enabling remote control from any AI IDE. It uses zero external dependencies and includes profiling and light probe automation.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to control Unity Editor programmatically from AI IDEs or automation scripts.", "useCases": [ "Automate Unity Editor tasks from an AI coding assistant", "Trigger profiling and light probe generation remotely", "Integrate Unity workflows into custom AI agent pipelines" ], "pros": [ "Zero external dependencies simplifies setup", "File-based IPC works across different environments", "Covers a broad set of 62 editor tools" ], "cons": [ "Small community with only 14 GitHub stars", "File-based IPC may introduce latency for frequent commands", "Limited documentation and support for edge cases" ], "tags": [ "ai-agent", "ai-coding", "ai-tools", "claude-code", "cursor", "game-development", "github-copilot", "lightprobe" ], "featured": false, "tier": "curated", "stars": 14, "language": [ "C#" ], "license": "Apache-2.0", "lastUpdated": "2026-03-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/butterlatte-zhang/unity-ai-bridge", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "ahujasid-blender-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/butterlatte-zhang-unity-ai-bridge" }, { "slug": "buywhere-buywhere-mcp", "name": "BuyWhere/buywhere-mcp", "vendor": "Various", "tagline": "BuyWhere MCP server — search and compare products from Singapore, SEA, and US markets via Model Context Protocol. Cross-border e-commerce product catalog for AI agents.", "description": "BuyWhere MCP server enables AI agents to search and compare products across Singapore, Southeast Asian, and US markets using the Model Context Protocol. It provides a cross-border e-commerce product catalog for agent-driven shopping queries.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to query product data across Singapore, Southeast Asian, and US e-commerce markets", "useCases": [ "Search product availability and prices across multiple regional markets", "Compare cross-border e-commerce listings via AI agent workflows", "Integrate regional product data into MCP-compatible applications" ], "pros": [ "Covers multiple distinct markets in one tool", "Works with standard MCP protocol for easy agent integration", "Open source with a small, focused codebase" ], "cons": [ "Low community traction with only 3 GitHub stars", "Limited to markets in Singapore, SEA, and US only", "No clear indication of data freshness or catalog size" ], "tags": [ "a2a", "agent2agent", "ai-agent", "buywhere", "claude", "commerce", "cursor", "e-commerce" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/BuyWhere/buywhere-mcp", "relations": { "works_in": [ "cline", "cursor", "continue" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/buywhere-buywhere-mcp" }, { "slug": "bv-venky-excalidraw-architect-mcp", "name": "BV-Venky/excalidraw-architect-mcp", "vendor": "Various", "tagline": "An MCP server that generates beautiful Excalidraw architecture diagrams with perfect auto-layout.", "description": "A Python MCP server that generates Excalidraw architecture diagrams. It produces diagrams with automatic layout, suitable for software architecture visualization. The tool integrates with AI agents via the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using AI agents to create architecture diagrams automatically", "useCases": [ "Generate architecture diagrams for software systems", "Automate diagram creation in CI pipelines", "Produce visual documentation from AI-driven workflows" ], "pros": [ "Produces clean, auto-laid-out Excalidraw diagrams", "Seamless integration with MCP-compatible AI agents", "Lightweight Python server" ], "cons": [ "Output limited to Excalidraw format", "Requires an MCP client to operate", "May not support all custom styling options" ], "tags": [ "ai", "antigravity", "cursor", "developer-tools", "excalidraw", "excalidraw-platform", "llm", "mcp" ], "featured": false, "tier": "curated", "stars": 111, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/BV-Venky/excalidraw-architect-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/bv-venky-excalidraw-architect-mcp" }, { "slug": "bx33661-wireshark-mcp", "name": "bx33661/Wireshark-MCP", "vendor": "Various", "tagline": "Wireshark-MCP，Give your AI assistant a packet analyzer. Drop a .pcap file, ask questions in plain English — get answers backed by real tshark data.", "description": "Wireshark-MCP is a Python-based MCP server that lets AI assistants analyze network packet captures. It accepts .pcap files and answers plain-English questions by running tshark queries against the data.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and security analysts who want to query packet captures through an AI assistant", "useCases": [ "Ask an AI to explain suspicious traffic patterns in a .pcap file", "Automate network forensics by feeding captures to an assistant", "Query packet details without manually writing tshark commands" ], "pros": [ "Bridges natural language questions with real tshark analysis", "Lightweight Python server easy to integrate into MCP workflows", "Open source with 131 stars and active community interest" ], "cons": [ "Requires tshark installed separately on the host system", "Limited to .pcap file input; no live capture support", "Dependent on the AI assistant's ability to interpret network data" ], "tags": [ "ai-agents", "mcp", "network-security", "packet-analysis", "pcap", "tshark", "wireshark" ], "featured": false, "tier": "curated", "stars": 131, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/bx33661/Wireshark-MCP", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/bx33661-wireshark-mcp" }, { "slug": "byaxe-keynote-mcp", "name": "ByAxe/keynote-mcp", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server that enables AI assistants to control Keynote presentations through AppleScript automation.", "description": "A Model Context Protocol (MCP) server that lets AI assistants control Keynote presentations using AppleScript automation. It translates MCP tool calls into AppleScript commands to advance slides, start presentations, and retrieve slide notes. The project is a small Python wrapper with minimal community adoption.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building macOS‑native presentation workflows with AI assistants", "useCases": [ "Automating slide navigation during a live presentation", "Extracting presenter notes from Keynote slides via AI", "Scripting presentation playback from an AI assistant" ], "pros": [ "Enables direct AI control of Keynote without manual intervention", "Leverages existing AppleScript automation infrastructure on macOS", "Simple Python codebase easy to inspect and modify" ], "cons": [ "Requires macOS and a local Keynote installation to function", "Low star count suggests limited testing and community support", "Depends on MCP compatibility which is still an evolving standard" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/ByAxe/keynote-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "ahujasid-blender-mcp", "wonderwhy-er-desktopcommandermcp", "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/byaxe-keynote-mcp" }, { "slug": "c4pt0r-mcp-server-tidb", "name": "c4pt0r/mcp-server-tidb", "vendor": "Various", "tagline": "mcp server for tidb", "description": "An MCP server that enables AI agents to query and interact with TiDB databases. It implements the Model Context Protocol to provide structured database access for AI tools. Built in Python, it connects to TiDB instances and exposes database operations as MCP tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to access TiDB databases", "useCases": [ "Query TiDB databases from AI assistants", "Execute SQL operations through MCP-compatible clients", "Integrate TiDB data retrieval into AI workflows" ], "pros": [ "Simple setup for TiDB connectivity via MCP", "Leverages standard MCP protocol for interoperability", "Lightweight Python implementation" ], "cons": [ "Limited community support with only 23 stars", "Requires running a separate MCP server process", "May lack advanced features for complex database operations" ], "tags": [], "featured": false, "tier": "curated", "stars": 23, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2025-04-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/c4pt0r/mcp-server-tidb", "relations": { "works_in": [ "cline", "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [ "antv-mcp-server-chart" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/c4pt0r-mcp-server-tidb" }, { "slug": "cablate-mcp-google-map", "name": "cablate/mcp-google-map", "vendor": "Various", "tagline": "A powerful Model Context Protocol (MCP) server providing comprehensive Google Maps API integration with LLM processing capabilities.", "description": "An MCP server that wraps Google Maps API endpoints for use with LLM agents. It exposes place search, geocoding, directions, and elevation data through the Model Context Protocol, letting AI assistants query map services directly.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building LLM agents that need real-world location and navigation data", "useCases": [ "Let an LLM agent find nearby restaurants or businesses by category and location", "Get turn-by-turn driving or walking directions between two addresses", "Retrieve elevation data for a set of geographic coordinates" ], "pros": [ "322 GitHub stars indicate community trust and active use", "Written in TypeScript with typed interfaces for reliable integration", "Covers multiple Google Maps API features in one MCP server" ], "cons": [ "Requires a Google Maps API key with billing enabled, adding cost", "Limited to Google Maps data, no support for alternative map providers", "Dependent on MCP protocol adoption by the LLM client or framework" ], "tags": [ "agent-skill", "ai", "ai-agent", "dive", "geocoding", "geospatial", "google-map", "google-maps" ], "featured": false, "tier": "curated", "stars": 322, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/cablate/mcp-google-map", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/cablate-mcp-google-map" }, { "slug": "cachly-dev-cachly-mcp", "name": "cachly-dev/cachly-mcp", "vendor": "Various", "tagline": "AI memory brain for Claude Code, Cursor, Copilot & Windsurf — 51 MCP tools. Persistent sessions, lessons learned, semantic search, Team Brain, managed Valkey/Redis. Free tier.", "description": "Cachly MCP provides 51 MCP tools that give Claude Code, Cursor, Copilot, and Windsurf persistent memory across sessions. It stores lessons learned and enables semantic search, with a Team Brain feature and managed Valkey/Redis backend. A free tier is available.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using multiple AI coding assistants who need persistent, shareable memory across sessions.", "useCases": [ "Maintain context and learned patterns across multiple AI coding sessions", "Share project knowledge among team members via Team Brain", "Retrieve past solutions or decisions using semantic search" ], "pros": [ "Large toolset (51 MCP tools) for flexible memory management", "Supports multiple popular AI coding assistants", "Free tier lowers barrier to entry" ], "cons": [ "Low community adoption (1 star on GitHub)", "Dependency on managed Valkey/Redis may add operational complexity", "Limited documentation or community support due to early stage" ], "tags": [ "ai-memory", "causal-trace", "claude-code", "cursor", "developer-tools", "github-copilot", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-05-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/cachly-dev/cachly-mcp", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "vectorize-io-hindsight", "upstash-context7", "topoteretes-cognee" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/cachly-dev-cachly-mcp" }, { "slug": "cafferychen777-chatspatial", "name": "cafferychen777/ChatSpatial", "vendor": "Various", "tagline": "MCP server for spatial transcriptomics analysis through natural language interfaces.", "description": "ChatSpatial is an MCP server that enables spatial transcriptomics analysis through natural language queries. It translates user requests into computational workflows for processing spatial gene expression data.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Biologists and bioinformaticians who want to analyze spatial gene expression data via conversational interfaces.", "useCases": [ "Query spatial gene expression patterns using natural language", "Automate spatial transcriptomics data analysis pipelines", "Integrate spatial biology analysis into AI agent workflows" ], "pros": [ "Lowers the barrier to spatial transcriptomics analysis for non-programmers", "Leverages the MCP protocol for integration with AI assistants", "Open source with Python, enabling customization" ], "cons": [ "Limited to spatial transcriptomics, not a general-purpose tool", "Small community (39 stars) may mean fewer resources and updates", "Requires understanding of spatial biology to interpret results" ], "tags": [ "agentic-ai", "bioinformatics", "cell-communication", "claude-desktop", "computational-biology", "deconvolution", "genomics", "llm-agent" ], "featured": false, "tier": "curated", "stars": 39, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/cafferychen777/ChatSpatial", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/cafferychen777-chatspatial" }, { "slug": "cactusinhand-mcp-server-notify", "name": "Cactusinhand/mcp_server_notify", "vendor": "Various", "tagline": "Send system notification when Agent task is done.", "description": "An MCP server that sends system notifications when an agent task completes. It listens for task completion signals and triggers the host operating system's notification system. Built in Python.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based agent workflows that need user notifications", "useCases": [ "Notify when a background data processing task finishes", "Alert when an AI agent completes code generation or analysis", "Get a desktop notification when a multi-step workflow ends" ], "pros": [ "Simple and lightweight implementation", "Easy to integrate with MCP-compatible agents", "Cross-platform notification support via standard Python libraries" ], "cons": [ "Limited to one-way notification with no feedback or response", "Requires an MCP-compatible agent to be useful", "Low community adoption and may receive limited updates" ], "tags": [ "mcp", "mcp-server", "notification" ], "featured": false, "tier": "curated", "stars": 54, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-08-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/Cactusinhand/mcp_server_notify", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "eyaltoledano-claude-task-master" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/cactusinhand-mcp-server-notify" }, { "slug": "cahthuranag-mcp-server", "name": "cahthuranag/mcp-server", "vendor": "Various", "tagline": "MCP server bringing live FX rates, historical data, and multi-currency lookups from AllRatesToday to Claude Code, Cursor, Claude Desktop, and Windsurf. Free API key required.", "description": "An MCP server that supplies live foreign exchange rates, historical currency data, and multi-currency lookups via the AllRatesToday API. It connects to MCP-compatible tools like Claude Code, Cursor, Claude Desktop, and Windsurf. A free API key is required.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need real‑time or historical FX data inside Claude Code, Cursor, or similar MCP environments", "useCases": [ "Retrieve current exchange rates for a specific currency pair", "Query historical FX rate data for trend analysis", "Convert amounts across multiple currencies in a single request" ], "pros": [ "Free API key keeps initial cost low", "Integrates directly with popular MCP‑enabled IDEs and assistants", "Provides both live and historical data in one service" ], "cons": [ "Low star count (1) suggests limited community validation", "Requires an external API key, adding a setup step", "Depends on AllRatesToday availability and rate limits" ], "tags": [ "ai", "claude", "claude-code", "currency-api", "cursor", "exchange-rate", "forex", "function-calling" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/cahthuranag/mcp-server", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/cahthuranag-mcp-server" }, { "slug": "calintzy-evmscope", "name": "calintzy/evmscope", "vendor": "Various", "tagline": "EVM blockchain intelligence toolkit for AI agents — 23 MCP tools across 7 chains (Ethereum, Polygon, Arbitrum, Base, Optimism, Avalanche, BSC). Zero config.", "description": "A TypeScript toolkit that exposes 23 MCP tools for EVM blockchain intelligence across 7 chains (Ethereum, Polygon, Arbitrum, Base, Optimism, Avalanche, BSC). It requires zero configuration to connect AI agents to on-chain data and actions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need read-only access to EVM blockchain data across multiple chains.", "useCases": [ "Query token balances and transaction history across multiple EVM chains", "Monitor on-chain events and trigger agent workflows", "Execute read-only smart contract calls from an AI agent" ], "pros": [ "Zero config setup reduces integration friction", "Covers 7 major EVM chains in a single toolkit", "TypeScript codebase aligns with modern agent frameworks" ], "cons": [ "Limited to read-only operations (no transaction signing or sending)", "Small community with only 2 GitHub stars", "No support for non-EVM chains or Layer 2s beyond the listed seven" ], "tags": [ "ai-agent", "ai-tools", "blockchain", "claude", "crypto", "cursor", "defi", "ethereum" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/calintzy/evmscope", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/calintzy-evmscope" }, { "slug": "calclavia-mcp-obsidian", "name": "calclavia/mcp-obsidian", "vendor": "Various", "tagline": "📇 🏠 - This is a connector to allow Claude Desktop (or any MCP client) to read and search any directory containing Markdown notes (such as an Obsidian vault).", "description": "This connector lets MCP clients like Claude Desktop read and search any directory of Markdown notes, such as an Obsidian vault. It provides a simple interface for querying and retrieving note content without needing a full Obsidian API.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude Desktop or other MCP clients who need quick access to Markdown notes from their vault", "useCases": [ "Searching and retrieving notes from an Obsidian vault via Claude Desktop", "Integrating AI assistants with a local Markdown note repository", "Building custom workflows that read or query Markdown files programmatically" ], "pros": [ "Open source and easy to install with any MCP client", "Works directly with directories of Markdown files, no Obsidian app required", "Lightweight and focused on reading/searching without altering notes" ], "cons": [ "Limited to read and search operations (no write or edit support)", "Requires setting up an MCP client and connecting it to a directory", "Not a full Obsidian plugin, so advanced vault features like graph are unavailable" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/calclavia/mcp-obsidian", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "microsoft-markitdown" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/calclavia-mcp-obsidian" }, { "slug": "cameronrye-activitypub-mcp", "name": "cameronrye/activitypub-mcp", "vendor": "Various", "tagline": "A comprehensive Model Context Protocol (MCP) server that enables LLMs like Claude to explore and interact with the existing Fediverse through standardized MCP tools, resources, and", "description": "A TypeScript MCP server that lets LLMs like Claude browse and interact with the Fediverse using standard MCP tools, resources, and prompts. It translates ActivityPub protocols into structured actions the model can call.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building LLM agents that need to read or post to decentralized social networks", "useCases": [ "Query public Fediverse posts and profiles through MCP tools", "Automate social interactions like following or replying on Mastodon", "Build AI agents that monitor or participate in decentralized social feeds" ], "pros": [ "Leverages the open ActivityPub protocol for broad Fediverse compatibility", "Written in TypeScript with clear MCP integration for easy embedding", "Small, focused codebase with 16 stars indicating active community interest" ], "cons": [ "Limited to public data unless authentication is added", "Relies on the MCP standard which may not be supported by all LLM frameworks", "No built-in rate limiting or error handling for busy Fediverse instances" ], "tags": [ "activitypub", "fedify", "fediverse", "mcp", "mcp-server", "webfinger" ], "featured": false, "tier": "curated", "stars": 16, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/cameronrye/activitypub-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/cameronrye-activitypub-mcp" }, { "slug": "cameronrye-openzim-mcp", "name": "cameronrye/openzim-mcp", "vendor": "Various", "tagline": "OpenZIM MCP is a modern, secure, and high-performance MCP (Model Context Protocol) server that enables AI models to access and search ZIM format knowledge bases offline.", "description": "OpenZIM MCP is a Python-based MCP server that lets AI models query ZIM archives offline. It provides a secure, local interface for searching and retrieving content from compressed knowledge bases without internet access.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing offline, local access to structured knowledge bases for AI agents", "useCases": [ "Offline retrieval of Wikipedia or other ZIM-format datasets for AI assistants", "Building local RAG pipelines that rely on static knowledge snapshots", "Enabling AI tools to search large reference libraries in air-gapped environments" ], "pros": [ "Works entirely offline, removing dependency on external APIs", "Leverages the well-established ZIM format for compact, portable knowledge bases", "Simple MCP integration for existing AI workflows" ], "cons": [ "Limited to ZIM archives, which require pre-downloaded datasets", "Small community and fewer than 100 GitHub stars, so support is minimal", "Python-only implementation may not fit non-Python stacks" ], "tags": [ "kiwix", "mcp", "mcp-server", "openzim", "zim" ], "featured": false, "tier": "curated", "stars": 63, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/cameronrye/openzim-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/cameronrye-openzim-mcp" }, { "slug": "campertunity-mcp-server", "name": "campertunity/mcp-server", "vendor": "Various", "tagline": "🎖️ 📇 🏠 - Search campgrounds around the world on campertunity, check availability, and provide booking links", "description": "An MCP server that lets you search campgrounds worldwide on Campertunity, check availability, and retrieve booking links. It uses the Campertunity API to return structured campground data for integration into AI assistants or developer workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building travel or outdoor recreation assistants that need campground search and booking links", "useCases": [ "Search for campgrounds by location or name", "Check real-time campsite availability", "Generate booking links for specific campgrounds" ], "pros": [ "Simple, focused API for campground data", "Easy to integrate with MCP-compatible clients", "Open source with TypeScript for type safety" ], "cons": [ "Limited to Campertunity's campground inventory", "Small community (16 stars) may mean slower updates", "No offline or cached data support" ], "tags": [], "featured": false, "tier": "curated", "stars": 16, "language": [ "TypeScript" ], "lastUpdated": "2026-04-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/campertunity/mcp-server", "relations": { "works_in": [ "cursor", "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/campertunity-mcp-server" }, { "slug": "can4hou6joeng4-boss-agent-cli", "name": "can4hou6joeng4/boss-agent-cli", "vendor": "Various", "tagline": "AI-agent-first CLI for BOSS 直聘 — 职位搜索、福利筛选、招聘者工作流、MCP 工具与 AI 简历优化", "description": "An AI-agent-first command-line interface for the BOSS Zhipin recruitment platform. It enables job search, benefit filtering, recruiter workflow automation, MCP tools, and AI resume optimization via Python. The tool is designed for developers and recruiters who want to programmatically interact with BOSS Zhipin.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and recruiters who need to automate tasks on BOSS Zhipin via an AI-driven CLI", "useCases": [ "Search for jobs with specific filters such as benefits and location", "Automate recruiter workflows including candidate management", "Optimize resumes using built-in AI features" ], "pros": [ "Provides a programmable CLI for a major Chinese job platform", "Integrates AI agents for resume optimization and workflow automation", "Open-source with a growing community (986 stars)" ], "cons": [ "Limited to the BOSS Zhipin platform only", "Requires familiarity with Chinese recruitment ecosystem and language", "Documentation and support may be less polished than commercial tools" ], "tags": [ "agent-skill", "agent-tools", "ai-agent", "automation", "boss-zhipin", "cli", "job-hunting", "job-search" ], "featured": false, "tier": "curated", "stars": 986, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/can4hou6joeng4/boss-agent-cli", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [ "docker" ], "built_with": [ "pydantic-pydantic-ai-mcp-run-python" ], "pairs_with": [ "eyaltoledano-claude-task-master" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/can4hou6joeng4-boss-agent-cli" }, { "slug": "canner-wren-engine", "name": "Canner/wren-engine", "vendor": "Various", "tagline": "This repository has been merged into Canner/WrenAI under the core/ directory", "description": "wren-engine is a Java-based query engine that has been merged into the Canner/WrenAI project under its core directory. It provides the underlying data processing and query execution capabilities for the WrenAI semantic layer and analytics platform.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers contributing to or integrating with the WrenAI semantic layer and analytics platform", "useCases": [ "Building a semantic layer for business intelligence tools", "Executing SQL queries against multiple data sources", "Powering AI-driven data exploration and analytics applications" ], "pros": [ "Part of an active, integrated project (WrenAI) with broader capabilities", "Written in Java, offering portability and performance", "Open source with 660 stars, indicating community interest" ], "cons": [ "No longer maintained as a standalone repository; development continues within WrenAI", "Limited documentation and usage examples outside the parent project", "Requires understanding of the larger WrenAI ecosystem to use effectively" ], "tags": [ "agent", "agentic-ai", "ai", "business-intelligence", "data", "data-analysis", "data-analytics", "data-lake" ], "featured": false, "tier": "curated", "stars": 660, "language": [ "Java" ], "license": "Apache-2.0", "lastUpdated": "2026-05-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/Canner/wren-engine", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "mindsdb-mindsdb" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/canner-wren-engine" }, { "slug": "canopyhq-phloem", "name": "CanopyHQ/phloem", "vendor": "Various", "tagline": "🏎️ 🏠 🍎 🪟 🐧 - Local-first AI memory with causal graphs and citation verification. Semantic search, confidence decay when code drifts, and zero network connections. Works across", "description": "Local-first AI memory tool that uses causal graphs and citation verification. It provides semantic search with confidence decay when code drifts. Operates with zero network connections across macOS, Windows, and Linux.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing local, private AI memory with citation tracking", "useCases": [ "Building persistent AI memory for local development", "Verifying citations in AI-generated code", "Tracking code changes with confidence decay" ], "pros": [ "Zero network connections ensures privacy", "Causal graphs provide structured memory", "Cross-platform support" ], "cons": [ "Requires local setup and resources", "Confidence decay may reduce recall over time", "Limited to developer use cases" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/CanopyHQ/phloem", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "topoteretes-cognee", "vectorize-io-hindsight", "mediar-ai-screenpipe" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/canopyhq-phloem" }, { "slug": "cantian-ai-bazi-mcp", "name": "cantian-ai/bazi-mcp", "vendor": "Various", "tagline": "MCP server for Bazi (八字) information", "description": "This is an MCP server that provides Bazi (八字) information, a traditional Chinese astrology system based on the Four Pillars of Destiny. It allows AI assistants and applications to look up and interpret Bazi data through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-enabled AI assistants that need to answer queries about traditional Chinese Bazi astrology", "useCases": [ "Integrate Chinese astrology readings into chatbot or voice assistant workflows", "Build a personal Bazi calculator that returns pillar data for any birth date and time", "Create a fortune-telling feature that combines Bazi with other context in MCP-compatible tools" ], "pros": [ "Open-source and actively maintained with 385 stars", "Simple MCP interface makes it easy to plug into any MCP-compatible AI client", "Written in TypeScript, offering type safety and broad developer familiarity" ], "cons": [ "Limited to Bazi (Chinese astrology) with no support for other fortune-telling systems", "Requires domain knowledge to interpret the raw pillar output meaningfully", "Niche appeal may limit community contributions and long-term support" ], "tags": [], "featured": false, "tier": "curated", "stars": 385, "language": [ "TypeScript" ], "license": "ISC", "lastUpdated": "2025-10-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/cantian-ai/bazi-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/cantian-ai-bazi-mcp" }, { "slug": "caol64-wenyan-mcp", "name": "caol64/wenyan-mcp", "vendor": "Various", "tagline": "文颜 MCP Server 可以让 AI 自动将 Markdown 文章排版后发布至微信公众号。", "description": "An MCP server that enables AI to automatically format Markdown articles and publish them to WeChat public accounts. It handles the conversion and posting workflow, allowing developers to integrate AI-generated content directly into WeChat's ecosystem.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers automating WeChat public account publishing with AI-generated content", "useCases": [ "Automate formatting and publishing of Markdown articles to WeChat public accounts", "Integrate AI writing assistants with WeChat content workflows", "Streamline batch posting of pre-formatted content to WeChat" ], "pros": [ "Open source with a strong community following (1235 stars)", "Solves a specific, common pain point for WeChat content creators", "Works with any AI that supports MCP protocol" ], "cons": [ "Limited to WeChat public accounts only", "Requires setting up an MCP server and understanding the protocol", "May not support all Markdown features or complex WeChat formatting" ], "tags": [ "mcp-server", "wechat", "wenyan" ], "featured": false, "tier": "curated", "stars": 1235, "language": [ "JavaScript" ], "license": "Apache-2.0", "lastUpdated": "2026-04-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/caol64/wenyan-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "microsoft-markitdown" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/caol64-wenyan-mcp" }, { "slug": "capsulerun-bash", "name": "capsulerun/bash", "vendor": "Various", "tagline": "Sandboxed bash for agents. Track changes on every command.", "description": "capsulerun/bash is an open-source TypeScript package that provides a sandboxed bash environment for agents. It tracks changes after every command, allowing observers to review the effects of each operation.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building agentic systems that need safe, auditable bash execution with minimal overhead", "useCases": [ "Run arbitrary bash commands in an isolated environment from agent tools", "Monitor file system changes triggered by command execution", "Build agentic workflows that require safe, auditable shell access" ], "pros": [ "Provides isolation for bash execution, reducing risk of side effects", "Change tracking on every command enables fine-grained auditing", "Lightweight TypeScript package suitable for integration into MCP servers" ], "cons": [ "Low project maturity with only 10 GitHub stars", "Limited community support and documentation", "May lack advanced sandboxing features found in more established tools" ], "tags": [ "ai-agents", "bash", "code-execution", "llm", "mcp", "sandbox", "typescript" ], "featured": false, "tier": "curated", "stars": 10, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-05-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/capsulerun/bash/tree/main/packages/bash-mcp", "relations": { "works_in": [ "cline", "claude-code", "cursor", "aider" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "wonderwhy-er-desktopcommandermcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/capsulerun-bash" }, { "slug": "carlosahumada89-govrider-mcp-server", "name": "carlosahumada89/govrider-mcp-server", "vendor": "Various", "tagline": "GovRider MCP Server - Match your tech product or consulting service to thousands of live government tenders, RFPs, grants, and frameworks from 25+ official sources worldwide", "description": "A server implementing the Model Context Protocol (MCP) that lets AI assistants search and match tech products or consulting services against live government tenders, RFPs, grants, and frameworks from over 25 official sources worldwide.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need to monitor government procurement opportunities", "useCases": [ "Find relevant government RFPs for your SaaS product", "Automate daily scanning of new grants matching your consulting practice", "Integrate government opportunity discovery into an AI-powered procurement assistant" ], "pros": [ "Covers 25+ official government sources globally", "Uses standard MCP protocol for easy integration with AI assistants", "Focused on tech and consulting services matching" ], "cons": [ "Small community and limited user feedback (4 stars)", "Requires setup of an MCP host environment like Claude or other compatible clients", "No built-in web UI for manual browsing of tenders" ], "tags": [ "ai-agents", "government", "govtech", "grants", "mcp", "mcp-server", "model-context-protocol", "procurement" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/carlosahumada89/govrider-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/carlosahumada89-govrider-mcp-server" }, { "slug": "carloshpdoc-memorydetective", "name": "carloshpdoc/memorydetective", "vendor": "Various", "tagline": "MCP server for iOS leak hunting and performance investigation. 28 MCP tools, 34-pattern retain-cycle classifier with Swift fixTemplate snippets, compareTracesByPattern for CI gatin", "description": "MemoryDetective is an MCP server for iOS leak hunting and performance investigation. It provides 28 MCP tools including a 34-pattern retain-cycle classifier with Swift fixTemplate snippets, compareTracesByPattern for CI gating, and SourceKit-LSP source bridging. The tool reads .memgraph and .trace files and runs exclusively on macOS.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "iOS developers needing deep memory analysis and automated leak detection in CI", "useCases": [ "Detect retain cycles from iOS memory traces", "Integrate memory leak checks into CI pipelines", "Generate Swift fix suggestions for identified leak patterns" ], "pros": [ "Offers 28 specialized MCP tools for granular investigation", "Includes a 34-pattern retain-cycle classifier with Swift fix templates", "Supports CI gating with pattern comparison functionality" ], "cons": [ "Only works on macOS", "Limited to .memgraph and .trace file inputs", "Low community adoption (10 GitHub stars)" ], "tags": [ "claude-code", "combine", "instruments", "ios", "mcp", "memgraph", "memory-leak", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 10, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-05-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/carloshpdoc/memorydetective", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mobile-next-mobile-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/carloshpdoc-memorydetective" }, { "slug": "carrierone-verilexdata-mcp", "name": "carrierone/verilexdata-mcp", "vendor": "Various", "tagline": "MCP server for Verilex Data — query NPI, SEC, PACER, Weather, and OTC datasets from AI agents", "description": "An MCP server that lets AI agents query Verilex Data datasets including NPI, SEC, PACER, Weather, and OTC. It exposes these datasets through the Model Context Protocol, enabling agents to retrieve structured data on demand.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to query public datasets like SEC, PACER, or NPI", "useCases": [ "Query SEC filings or PACER court records from an AI assistant", "Look up NPI provider data or OTC market information", "Fetch weather data as part of an agent workflow" ], "pros": [ "Provides access to multiple diverse datasets through a single MCP server", "Written in TypeScript for type safety and easy integration", "Lets agents query real-world data without custom API integrations" ], "cons": [ "No stars or community adoption yet, likely early stage", "Requires an MCP-compatible agent or host to use", "Dataset availability and reliability depend on Verilex Data's service" ], "tags": [ "ai-agents", "crypto", "data-api", "defi", "government-data", "healthcare", "mcp", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/carrierone/verilexdata-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/carrierone-verilexdata-mcp" }, { "slug": "carsol-monarch-mcp-server", "name": "carsol/monarch-mcp-server", "vendor": "Various", "tagline": "🐍 ☁️ - MCP server providing read-only access to Monarch Money financial data, enabling AI assistants to analyze transactions, budgets, accounts, and cashflow data with MFA support", "description": "An MCP server that provides read-only access to Monarch Money financial data via the MCP protocol. It supports multi-factor authentication and exposes transactions, budgets, accounts, and cashflow data to AI assistants for analysis.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need to retrieve and analyze personal finance data from Monarch Money", "useCases": [ "Query transaction history and categorize spending through an AI assistant", "Monitor budget status and account balances automatically", "Analyze cashflow trends across user-defined time periods" ], "pros": [ "Provides structured, read-only access to personal financial data", "Supports MFA for secure authentication", "Simple Python implementation with the MCP protocol for AI integration" ], "cons": [ "Limited to Monarch Money ecosystem only", "Read-only access restricts automation of budget or account edits", "Small community size may limit long-term maintenance and support" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-06-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/carsol/monarch-mcp-server", "relations": { "works_in": [ "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/carsol-monarch-mcp-server" }, { "slug": "carterlasalle-mac-messages-mcp", "name": "carterlasalle/mac_messages_mcp", "vendor": "Various", "tagline": "An MCP server that securely interfaces with your iMessage database via the Model Context Protocol (MCP), allowing LLMs to query and analyze iMessage conversations. It includes robu", "description": "An MCP server for macOS that exposes iMessage conversations to LLMs via the Model Context Protocol. It validates phone numbers, processes attachments, manages contacts, handles group chats, and supports sending and receiving messages. The server reads from the local iMessage database.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building macOS-native AI agents that need iMessage access", "useCases": [ "Query iMessage history for context in an AI assistant", "Analyze message patterns over time with natural language", "Automate sending iMessages from an LLM agent" ], "pros": [ "Leverages official MCP protocol for easy integration with LLM hosts", "Handles complex iMessage features like group chats and attachments", "Open source with active development (292 stars)" ], "cons": [ "Requires macOS with iMessage set up and local database access", "Read and write access to iMessage database may pose privacy risks", "Depends on Apple's iMessage database schema which could change with OS updates" ], "tags": [ "applescript", "claude", "contacts", "cursor", "imessage", "mac", "macos", "mcp" ], "featured": false, "tier": "curated", "stars": 292, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/carterlasalle/mac_messages_mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "lharries-whatsapp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/carterlasalle-mac-messages-mcp" }, { "slug": "cartisien-engram-mcp", "name": "Cartisien/engram-mcp", "vendor": "Various", "tagline": "MCP server for @cartisien/engram — persistent semantic memory for AI agents", "description": "Provides a persistent semantic memory layer for AI agents via the Model Context Protocol (MCP). Built in TypeScript, it integrates with the @cartisien/engram system to store and recall knowledge across sessions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need reliable, long-term semantic memory", "useCases": [ "Give AI agents long-term memory of prior conversations", "Enable agents to store and retrieve facts or preferences", "Build context-aware tools that don't reset on each invocation" ], "pros": [ "Standard MCP interface simplifies integration", "Persistence keeps agent context across restarts", "Written in TypeScript for type safety" ], "cons": [ "Relies on @cartisien/engram as an external dependency", "No community metrics (0 stars) to indicate adoption or stability", "Limited documentation outside the repo itself" ], "tags": [ "ai", "ai-agents", "claude", "engram", "mcp", "memory", "model-context-protocol", "typescript" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/Cartisien/engram-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/cartisien-engram-mcp" }, { "slug": "castaldo-solutions-mcp-vtenext", "name": "Castaldo-Solutions/mcp-vtenext", "vendor": "Various", "tagline": "MCP server for VTENext CRM — exposes the WebService API as tools for Claude and other MCP clients", "description": "An MCP server that wraps the VTENext CRM WebService API into tools for Claude and other MCP clients. It allows developers to interact with CRM data like contacts, deals, and invoices directly from an AI assistant.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using VTENext CRM who want to query or manage it through Claude or other MCP-based assistants.", "useCases": [ "Query and update CRM records via natural language in Claude", "Automate CRM workflows like lead assignment or invoice retrieval", "Integrate VTENext data into AI-powered chat interfaces" ], "pros": [ "Directly bridges VTENext CRM with MCP-compatible AI tools", "Simple JavaScript implementation with low setup overhead", "Exposes a standard WebService API without custom coding" ], "cons": [ "Very small community (3 stars) with limited support or documentation", "Depends on VTENext's WebService API which may have rate limits or version constraints", "Only works with MCP clients, not standalone or other AI platforms" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/Castaldo-Solutions/mcp-vtenext", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "sooperset-mcp-atlassian" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/castaldo-solutions-mcp-vtenext" }, { "slug": "catrinmdonnelly-royalmail-mcp", "name": "catrinmdonnelly/royalmail-mcp", "vendor": "Various", "tagline": "Book, label, track and cancel Royal Mail and Parcelforce shipments from any MCP-compatible AI.", "description": "An MCP server that enables booking, labeling, tracking, and cancellation of Royal Mail and Parcelforce shipments through MCP-compatible AI assistants. It wraps the carrier APIs into a standard Model Context Protocol interface for use with tools like Claude.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents for UK parcel logistics", "useCases": [ "Generate shipment labels for orders via an AI chat interface", "Check parcel tracking status without leaving your AI workflow", "Cancel a booking programmatically from an MCP host" ], "pros": [ "Direct integration with two major UK carriers in one tool", "Works with any MCP-compatible AI assistant", "Written in JavaScript, easy to extend or audit" ], "cons": [ "Very early stage (only 1 GitHub star, minimal adoption)", "Limited to Royal Mail and Parcelforce only", "No indication of official carrier endorsement or SLA guarantees" ], "tags": [ "ai", "claude", "ecommerce", "logistics", "mcp", "retail", "royalmail", "uk" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/catrinmdonnelly/royalmail-mcp", "relations": { "works_in": [ "anthropic-computer-use" ], "uses": [], "built_with": [], "pairs_with": [ "browsermcp-mcp", "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/catrinmdonnelly-royalmail-mcp" }, { "slug": "catallo-misterclaw", "name": "catallo/misterclaw", "vendor": "Various", "tagline": "👾🦀 MiSTerClaw — MCP Remote Control for MiSTer-FPGA", "description": "catallo/misterclaw is a Go-based tool that provides remote control of MiSTer-FPGA systems using the Model Context Protocol (MCP). It enables developers to send commands and interact with MiSTer hardware programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-driven automation for MiSTer-FPGA retro gaming systems", "useCases": [ "Controlling MiSTer-FPGA cores remotely", "Integrating MiSTer with AI agents via MCP", "Automating FPGA workflows from external scripts" ], "pros": [ "Lightweight Go binary with no external dependencies", "Leverages MCP for standardized AI tool integration", "Simple command interface for common MiSTer operations" ], "cons": [ "Limited to MiSTer-FPGA platform only", "Small community and few stars indicate early stage", "Requires understanding of MCP and MiSTer setup" ], "tags": [ "ai-agent", "clawexec", "de10-nano", "fpga", "mcp", "mcp-server", "mister-fpga", "remote-control" ], "featured": false, "tier": "curated", "stars": 5, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-03-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/catallo/misterclaw", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/catallo-misterclaw" }, { "slug": "cavinooo-claude-find", "name": "Cavinooo/claude-find", "vendor": "Various", "tagline": "Pull Deep Memory from across your Claude Code Sessions — when you need it.", "description": "A TypeScript tool that retrieves deep memory from across Claude Code sessions, allowing developers to access past context when needed. It indexes session data for quick recall without manual searching.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who use Claude Code regularly and want to persist and retrieve session memory", "useCases": [ "Searching for specific code or decisions from previous Claude Code sessions", "Maintaining continuity across multiple Claude Code interactions", "Retrieving context or reasoning from past sessions without re-prompting" ], "pros": [ "Lightweight and focused on a specific need for Claude Code users", "Open source with a simple TypeScript codebase", "Reduces friction of losing context between sessions" ], "cons": [ "Small community (8 stars) may mean limited support or updates", "Requires manual setup and integration with Claude Code", "Only works with Claude Code sessions, not other AI tools" ], "tags": [ "claude", "claude-code", "cli", "embeddings", "mcp", "ollama", "semantic-search" ], "featured": false, "tier": "curated", "stars": 8, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/Cavinooo/claude-find", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp", "eyaltoledano-claude-task-master", "wonderwhy-er-desktopcommandermcp" ], "alternative_to": [ "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/cavinooo-claude-find" }, { "slug": "cct15-war-dashboard-data", "name": "cct15/war-dashboard-data", "vendor": "Various", "tagline": "Futuristic Risk Intelligence — Geopolitical conflict risk data for AI agents (MCP/API)", "description": "A Python-based tool that provides geopolitical conflict risk data for AI agents via MCP or API. It aggregates and structures information on ongoing conflicts to support risk-aware decision-making in automated systems.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need basic geopolitical risk context", "useCases": [ "Integrate real-time conflict risk data into AI agent workflows", "Enhance geopolitical analysis with structured risk intelligence", "Feed risk indicators into automated monitoring or alerting systems" ], "pros": [ "Provides niche, specialized data not commonly available in standard APIs", "Simple Python implementation with MCP/API access for easy integration", "Open source with a permissive license for customization" ], "cons": [ "Very low community adoption (1 star) suggests limited reliability or maturity", "No documentation or usage examples provided in the repository", "Data accuracy and update frequency are unverified" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/cct15/war-dashboard-data", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "exa-labs-exa-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/cct15-war-dashboard-data" }, { "slug": "cdeust-cortex", "name": "cdeust/Cortex", "vendor": "Various", "tagline": "Persistent memory for Claude Code — 41 neuroscience papers, 26 biological mechanisms with paper-bearing per-mechanism ablation evidence (E1 v3). LongMemEval R@10 98.4% / MRR 0.9124", "description": "Cortex provides persistent memory for Claude Code using PostgreSQL and pgvector. It stores and retrieves information across sessions based on 26 biological mechanisms with ablation evidence from 41 neuroscience papers, achieving 98.4% R@10 on LongMemEval and 94.2% on LoCoMo.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need reliable long-term memory for Claude Code in complex, multi-session projects.", "useCases": [ "Maintaining conversation context across long Claude Code sessions", "Retrieving relevant prior knowledge during agentic coding tasks", "Building memory-augmented coding assistants with verifiable retrieval" ], "pros": [ "High retrieval accuracy validated on multiple benchmarks (LongMemEval, LoCoMo, BEAM-10M)", "Neuroscience-inspired design with per-mechanism ablation evidence for transparency", "Uses widely compatible PostgreSQL with pgvector extension" ], "cons": [ "Requires managing a PostgreSQL instance with pgvector", "Tied specifically to Claude Code, limiting reuse with other LLMs", "Setup and tuning may be non-trivial for casual users" ], "tags": [ "agent-memory-system", "anthropic", "artificial-intelligence", "causal-inference", "claude", "claude-code", "claude-code-plugin", "cognitive-architecture" ], "featured": false, "tier": "curated", "stars": 41, "language": [ "Python" ], "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/cdeust/Cortex", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/cdeust-cortex" }, { "slug": "celiums-celiums-memory", "name": "celiums/celiums-memory", "vendor": "Various", "tagline": "Open-source cognitive engine for AI agents — persistent memory, a first-person journal, a four-layer ethics engine, and a per-user biological clock, over MCP. Apache-2.0.", "description": "Celiums Memory is an open-source cognitive engine for AI agents that provides persistent memory, a first-person journal, a four-layer ethics engine, and a per-user biological clock over the Model Context Protocol (MCP). It is written in TypeScript and licensed under Apache-2.0.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with persistent memory and ethics for AI agents", "useCases": [ "Give AI agents long-term memory across sessions", "Enforce ethical constraints with a multi-layer ethics engine", "Simulate time-aware agent behavior with a per-user biological clock" ], "pros": [ "Open-source with permissive Apache-2.0 license", "Modular design with MCP integration for agent interoperability", "Includes unique features like a journal and biological clock" ], "cons": [ "Very early stage with only 15 GitHub stars", "Limited community adoption and documentation", "Unclear production readiness or maintenance cadence" ], "tags": [ "ai", "ai-memory", "artificial-intelligence", "circadian-rhythm", "claude-code", "cognitive-architecture", "cursor", "developer-tools" ], "featured": false, "tier": "curated", "stars": 15, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-05-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/terrizoaguimor/celiums-memory", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "topoteretes-cognee" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/celiums-celiums-memory" }, { "slug": "centralmind-gateway", "name": "centralmind/gateway", "vendor": "Various", "tagline": "Universal MCP-Server for your Databases optimized for LLMs and AI-Agents.", "description": "A Go-based MCP server that connects databases to LLMs and AI agents. It provides a universal interface for agents to query and interact with databases through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to give AI agents read-only database access via a standard protocol", "useCases": [ "Let an AI agent run SQL queries against a production database via a standardized API", "Expose database tables and schemas to LLMs for natural language querying", "Integrate database access into MCP-compatible agent frameworks" ], "pros": [ "Single Go binary with no heavy dependencies for easy deployment", "Works with any database that supports MCP", "Optimized specifically for LLM read queries and schema exploration" ], "cons": [ "Limited to read queries for safety, not for write operations", "Requires running a separate service next to your database", "Small community and limited plugin ecosystem" ], "tags": [ "amazon-bedrock", "anthropic-claude", "api", "automatic-api", "clickhouse", "duckdb", "elasticsearch", "golang" ], "featured": false, "tier": "curated", "stars": 531, "language": [ "Go" ], "license": "Apache-2.0", "lastUpdated": "2025-07-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/centralmind/gateway", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/centralmind-gateway" }, { "slug": "cerebrixos-org-tuning-engines-cli", "name": "cerebrixos-org/tuning-engines-cli", "vendor": "Various", "tagline": "CLI & MCP server for Tuning Engines — fine-tune LLMs on code repositories", "description": "A CLI and MCP (Model Context Protocol) server for fine-tuning large language models on code repositories. It provides commands to prepare and run tuning jobs directly from a terminal or through MCP integration.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to fine-tune LLMs on their own code repositories and want a CLI or MCP-based tool to manage the process.", "useCases": [ "Fine-tune an LLM on a private codebase for better code completion", "Set up an MCP server to manage tuning workflows programmatically", "Automate model retraining when repository source code changes" ], "pros": [ "Offers both CLI and MCP interfaces for flexible workflow automation", "Targets code-specific fine-tuning, which can improve performance on domain tasks", "Written in TypeScript, making it approachable for JavaScript/TypeScript developers" ], "cons": [ "Very low adoption (2 stars) suggests limited community support and testing", "Likely sparse documentation and example workflows", "Requires prior understanding of LLM fine-tuning concepts and infrastructure" ], "tags": [ "ai", "cli", "fine-tuning", "llm", "lora", "machine-learning", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/cerebrixos-org/tuning-engines-cli", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "pydantic-pydantic-ai-mcp-run-python", "fastmcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/cerebrixos-org-tuning-engines-cli" }, { "slug": "cevatkerim-unsplash-mcp", "name": "cevatkerim/unsplash-mcp", "vendor": "Various", "tagline": "An MCP server for Unsplash photo search with proper attribution built-in. Key differentiator: Returns ready-to-use attributiontext and attributionhtml for each photo, making it tri", "description": "An MCP server for searching Unsplash photos using Python. It returns ready-to-use attribution text and HTML for each photo, ensuring compliance with Unsplash API guidelines.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building LLM-driven content systems that need ready-to-use, properly attributed images from Unsplash.", "useCases": [ "Search for stock photos by keyword or topic via an MCP-enabled LLM", "Retrieve properly attributed image URLs and license text for content pages", "Automate image selection and attribution in AI-generated articles or blogs" ], "pros": [ "Built-in attribution text and HTML simplify compliance with Unsplash licensing", "Straightforward integration with any MCP-compatible host or LLM", "Lightweight Python server with minimal dependencies" ], "cons": [ "Limited to Unsplash's photo library; no other stock image sources", "Requires a valid Unsplash API key (free but must be obtained separately)", "Only handles photo search; no upload, metadata or user management" ], "tags": [ "mcp", "unsplash", "unsplash-api" ], "featured": false, "tier": "curated", "stars": 9, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-01-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/cevatkerim/unsplash-mcp", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/cevatkerim-unsplash-mcp" }, { "slug": "cfpramod-open-museum-mcp", "name": "cfpramod/open-museum-mcp", "vendor": "Various", "tagline": "MCP server for federated, license-verified search across open-access museum collections (The Met, Cleveland, AIC). Normalized schema, dynasty-aware date parsing, strict-default lic", "description": "An MCP server that provides a federated search across three open-access museum collections (The Met, Cleveland Museum of Art, Art Institute of Chicago). It normalizes results into a common schema, supports dynasty-aware date parsing, and enforces a strict-default license gate to ensure only reusable works are returned.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building cultural heritage applications or research tools that need aggregated search across open-access museum datasets", "useCases": [ "Query multiple museum APIs through a single unified MCP interface", "Filter artworks by license to guarantee open-access reuse", "Search with dynasty-specific date terms for historical collections" ], "pros": [ "Federated access to major open-access museum collections", "Normalized schema reduces integration effort", "Dynasty-aware date parsing for non-Western artworks" ], "cons": [ "Limited to three museums, may not cover niche collections", "Requires an MCP-compatible client or agent to use", "License verification depends on each museum's metadata quality" ], "tags": [], "featured": false, "tier": "curated", "stars": 5, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/cfpramod/open-museum-mcp", "relations": { "works_in": [ "cline", "continue", "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/cfpramod-open-museum-mcp" }, { "slug": "cg3-llc-prior-mcp", "name": "cg3-llc/prior_mcp", "vendor": "Various", "tagline": "MCP server for Prior — give any AI agent instant access to a shared knowledge base of proven solutions. Works with Claude Desktop, Cursor, Windsurf, and VS Code.", "description": "MCP server that connects AI agents (Claude Desktop, Cursor, Windsurf, VS Code) to a shared knowledge base of proven solutions. It enables agents to retrieve and apply prior work without manual context setup.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Teams using AI coding assistants who want a shared repository of vetted solutions.", "useCases": [ "Share verified code examples across team projects.", "Enable AI assistants to pull from a curated solution repository.", "Reduce repeat problem-solving by reusing proven patterns." ], "pros": [ "Works with multiple popular AI coding tools.", "Simple JavaScript implementation for easy setup.", "Centralizes reusable knowledge for agent collaboration." ], "cons": [ "Low GitHub stars (2) indicates limited community adoption.", "Requires Prior knowledge base setup and maintenance.", "Narrow scope: only benefits teams that maintain a solution repository." ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "JavaScript" ], "lastUpdated": "2026-05-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/cg3-llc/prior_mcp", "relations": { "works_in": [ "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/cg3-llc-prior-mcp" }, { "slug": "chaindead-telegram-mcp", "name": "chaindead/telegram-mcp", "vendor": "Various", "tagline": "Telegram MCP for managing dialogs, messages, drafts, read statuses, and more.", "description": "A Go-based MCP server that exposes Telegram messaging operations as tools for AI agents. It enables managing dialogs, sending and reading messages, handling drafts, and tracking read statuses through the Telegram API.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to interact with Telegram chats and messages", "useCases": [ "Automate Telegram message sending and monitoring from an AI agent", "Manage Telegram dialogs and drafts programmatically", "Track read statuses and unread messages in Telegram chats" ], "pros": [ "Lightweight Go implementation with good performance", "Covers core Telegram messaging operations", "Active open-source project with 331 stars" ], "cons": [ "Requires Telegram API credentials and setup", "Limited to messaging features, no media or group management", "Depends on MCP protocol compatibility" ], "tags": [ "mcp", "mcp-server", "mtproto", "telegram", "telegram-api" ], "featured": false, "tier": "curated", "stars": 331, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/chaindead/telegram-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "lharries-whatsapp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/chaindead-telegram-mcp" }, { "slug": "chanmeng-google-news-mcp-server", "name": "chanmeng/google-news-mcp-server", "vendor": "Various", "tagline": "【Star-crossed coders unite!⭐️】Model Context Protocol (MCP) server implementation providing Google News search capabilities via SerpAPI, with automatic news categorization and multi", "description": "A Model Context Protocol (MCP) server that wraps SerpAPI to search Google News. It supports automatic news categorization and multi-language queries, returning structured results for use in MCP-compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-connected AI agents or tools that need live Google News data", "useCases": [ "Search news articles by keyword or topic", "Fetch categorized news feeds for integration into tools", "Provide real-time news context to AI assistants" ], "pros": [ "Open-source TypeScript implementation with 123 GitHub stars", "Leverages SerpAPI for reliable Google News access", "Supports multiple languages and automatic categorization" ], "cons": [ "Requires a SerpAPI key and may incur usage costs", "Limited to Google News only", "Depends on MCP-compatible clients to function" ], "tags": [ "ai", "claude", "claude-desktop", "google-news-api", "mcp", "mcp-server", "modelcontextprotocol", "news-aggregation" ], "featured": false, "tier": "curated", "stars": 123, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/ChanMeng666/server-google-news", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/chanmeng-google-news-mcp-server" }, { "slug": "chargebee-mcp", "name": "chargebee/mcp", "vendor": "Various", "tagline": "Seamlessly integrate AI agents with Chargebee using AgentKit for smarter billing and subscription workflows.", "description": "This is a Model Context Protocol server that enables AI agents to interact with Chargebee billing and subscription data via AgentKit. It provides structured access to Chargebee's API for subscription management and billing workflows. The tool is written in TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to interact with Chargebee billing systems", "useCases": [ "Query subscription status and billing history from Chargebee", "Automate subscription management tasks through AI agents", "Integrate AI assistants with Chargebee workflows" ], "pros": [ "Provides structured access to Chargebee data for AI agents", "Uses standard MCP protocol for interoperability", "Written in TypeScript for type safety" ], "cons": [ "Very low community adoption (14 stars)", "Limited documentation or support", "May require additional setup for production use" ], "tags": [ "ai-agents", "chargebee", "gen-ai", "llm", "mcp", "public", "workflows" ], "featured": false, "tier": "curated", "stars": 14, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-11-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/chargebee/agentkit/tree/main/modelcontextprotocol", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/chargebee-mcp" }, { "slug": "chasesaurabh-mcp-page-capture", "name": "chasesaurabh/mcp-page-capture", "vendor": "Various", "tagline": "Capture web page screenshots and return MCP-compatible metadata for automated workflows.", "description": "Captures web page screenshots and returns MCP-compatible metadata for automated workflows. It takes a URL as input, renders the page, and outputs a screenshot along with structured metadata formatted for the Model Context Protocol. This enables AI agents or automated tools to programmatically fetch visual page data.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-compatible agents that need simple, programmatic web page screenshots", "useCases": [ "Providing visual context to MCP-based AI agents during web page analysis", "Capturing page states for automated workflow documentation or debugging", "Generating structured screenshot metadata to integrate into tool-calling pipelines" ], "pros": [ "TypeScript implementation is straightforward to integrate into MCP-compatible systems", "Returns both screenshot image and structured metadata, useful for context-aware agents", "Open source with minimal dependencies, making it easy to audit or extend" ], "cons": [ "Very early stage project with only 2 stars, indicating limited testing and community support", "May struggle with JavaScript-heavy or dynamic pages that require full rendering", "Minimal documentation and usage examples due to low adoption" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-12-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/chasesaurabh/mcp-page-capture", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/chasesaurabh-mcp-page-capture" }, { "slug": "chatmcp-mcp-server-chatsum", "name": "chatmcp/mcp-server-chatsum", "vendor": "Various", "tagline": "Query and Summarize your chat messages.", "description": "This is an MCP server that provides tools to query and summarize chat messages. It is built in TypeScript and designed to be used with AI agents that support the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to query and summarize chat histories", "useCases": [ "Search chat messages for specific topics", "Summarize long conversation threads", "Provide chat context to AI agents" ], "pros": [ "High star count suggests community trust and active maintenance", "Written in TypeScript for type safety and developer experience", "Open source and free to use" ], "cons": [ "Requires a client that supports the Model Context Protocol", "Summarization quality depends on the underlying language model", "Only works with chat messages it can access, requiring integration setup" ], "tags": [ "chatbot", "chatsum", "mcp-server" ], "featured": false, "tier": "curated", "stars": 1031, "language": [ "TypeScript" ], "lastUpdated": "2024-12-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/chatmcp/mcp-server-chatsum", "relations": { "works_in": [ "cursor", "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [ "lharries-whatsapp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/chatmcp-mcp-server-chatsum" }, { "slug": "checkra1neth-xbird", "name": "checkra1neth/xbird", "vendor": "Various", "tagline": "Twitter/X skill for AI agents — works with Claude Code, Cursor, Windsurf and 35+ agents. Powered by xbird-mcp.", "description": "A Twitter/X skill for AI agents, enabling them to post, read, and interact with tweets. It integrates with Claude Code, Cursor, Windsurf, and 35+ agent platforms via the xbird-mcp protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need programmatic access to Twitter/X", "useCases": [ "Automating tweet posting and monitoring from an AI coding assistant", "Fetching tweets or threads for analysis during development workflows", "Building agent-driven Twitter engagement tools" ], "pros": [ "Compatible with a wide range of popular AI agent platforms", "Open source implementation with a focused feature set", "Low setup overhead for developers already using MCP-based tools" ], "cons": [ "Small user base (13 stars) indicates limited community support", "Relies on Twitter/X API which may change and cause breakage", "Documentation and examples may be sparse due to early stage" ], "tags": [], "featured": false, "tier": "curated", "stars": 13, "language": [], "license": "MIT", "lastUpdated": "2026-02-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/checkra1neth/xbird-skill", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/checkra1neth-xbird" }, { "slug": "chemiguel23-memorymesh", "name": "CheMiguel23/MemoryMesh", "vendor": "Various", "tagline": "A knowledge graph server that uses the Model Context Protocol (MCP) to provide structured memory persistence for AI models.", "description": "MemoryMesh is a knowledge graph server that stores structured memory for AI models using the Model Context Protocol (MCP). It allows agents to persist and retrieve relationships between entities, enabling long-term context across interactions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or assistants that need persistent, structured memory using the Model Context Protocol", "useCases": [ "Provide persistent memory for AI assistants across multiple sessions", "Store structured relationships (e.g., user preferences, task dependencies) as a knowledge graph", "Integrate with MCP-compatible clients to give agents recall of past interactions" ], "pros": [ "Uses the Model Context Protocol for a standardized memory interface", "Graph format captures rich, linked data beyond flat key-value stores", "Written in TypeScript, offering type-safe development and easy integration" ], "cons": [ "Requires a separate server process to run alongside your application", "Only works with clients that implement the MCP specification", "Relatively new project with a moderate community (342 stars) and limited production track record" ], "tags": [ "ai", "mcp" ], "featured": false, "tier": "curated", "stars": 342, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/CheMiguel23/MemoryMesh", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "topoteretes-cognee", "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/chemiguel23-memorymesh" }, { "slug": "chigwell-telegram-mcp", "name": "chigwell/telegram-mcp", "vendor": "Various", "tagline": "Telegram MCP server powered by Telethon to let MCP clients read chats, manage groups, and send/modify messages, media, contacts, and settings.", "description": "A Python-based MCP server that uses Telethon to let MCP clients read Telegram chats, manage groups, and send or modify messages, media, contacts, and settings. It exposes Telegram operations through the Model Context Protocol for integration with compatible tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based automation or tools that need to interact with Telegram chats and groups", "useCases": [ "Automate message sending and media sharing in Telegram groups", "Read and archive chat history from Telegram channels", "Manage group members and settings programmatically" ], "pros": [ "Leverages Telethon for reliable Telegram API access", "Exposes a wide range of Telegram actions through a standard MCP interface", "Actively maintained with over 1,100 GitHub stars" ], "cons": [ "Requires a Telegram API ID and hash, adding setup friction", "Python-only, limiting integration with non-Python MCP clients", "Depends on Telethon which may break with Telegram API changes" ], "tags": [ "admin", "api", "chat-management", "contacts", "groups", "mcp", "media", "messaging" ], "featured": false, "tier": "curated", "stars": 1157, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/chigwell/telegram-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "lharries-whatsapp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/chigwell-telegram-mcp" }, { "slug": "chimera-protocol-csl-core", "name": "Chimera-Protocol/csl-core", "vendor": "Various", "tagline": "Deterministic policy language for AI agents. Z3 + TLA+ dual-engine formal verification. Runtime enforcement <1ms.", "description": "CSL-core is a deterministic policy language for AI agents, using Z3 and TLA+ dual-engine formal verification to enforce constraints at runtime. It checks agent actions against predefined policies with sub-millisecond latency, ensuring behavior stays within safe bounds.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building safety-critical AI agents that need formal runtime policy enforcement", "useCases": [ "Define safety guardrails for autonomous agent actions", "Verify agent behavior against formal specifications at runtime", "Enforce compliance policies in multi-agent systems" ], "pros": [ "Dual-engine verification (Z3 + TLA+) provides strong formal guarantees", "Sub-millisecond runtime enforcement enables real-time use", "Deterministic policy language reduces ambiguity in agent behavior" ], "cons": [ "Small community (14 stars) means limited support and documentation", "Requires understanding of formal methods (Z3, TLA+) to use effectively", "Python-only implementation may limit integration with non-Python stacks" ], "tags": [ "agent-framework", "ai-governance", "ai-safety", "deterministic-ai", "formal-verification", "hallucination-prevention", "langchain", "llm-safety" ], "featured": false, "tier": "curated", "stars": 14, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/Chimera-Protocol/csl-core", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "browsermcp-mcp", "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/chimera-protocol-csl-core" }, { "slug": "chopmob-cloud-algovoi-platform-adapters", "name": "chopmob-cloud/AlgoVoi-Platform-Adapters", "vendor": "Various", "tagline": "chopmob-cloud/AlgoVoi-Platform-Adapters — indexed from awesome-mcp-servers-punkpeye", "description": "A collection of platform adapters for the AlgoVoi ecosystem, packaged as an MCP server. It enables integration between AlgoVoi and MCP-compatible clients by exposing standardized interfaces. Listed in the awesome-mcp-servers-punkpeye index.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers integrating AlgoVoi with MCP-based AI tools and agents", "useCases": [ "Connect AlgoVoi services to MCP-compatible AI agents", "Build custom adapters for AlgoVoi platform resources", "Extend MCP tooling with AlgoVoi-specific capabilities" ], "pros": [ "Open source and freely available on GitHub", "Follows the MCP standard for interoperability", "Provides a structured adapter pattern for platform integration" ], "cons": [ "Limited documentation beyond the repository itself", "Requires familiarity with both AlgoVoi and MCP protocols", "Niche use case tied to a specific platform" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/chopmob-cloud/AlgoVoi-Platform-Adapters/tree/master/mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/chopmob-cloud-algovoi-platform-adapters" }, { "slug": "chrbailey-promptspeak-mcp-server", "name": "chrbailey/promptspeak-mcp-server", "vendor": "Various", "tagline": "Pre-execution governance for AI agents. Sub-millisecond tool call validation, drift detection, circuit breakers, human-in-the-loop holds. 829 tests. 56 MCP tools.", "description": "chrbailey/promptspeak-mcp-server provides pre-execution governance for AI agents. It performs sub-millisecond tool call validation, drift detection, circuit breakers, and human-in-the-loop holds. The TypeScript server includes 829 tests and supports 56 MCP tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based agents that need pre-execution governance and safety checks", "useCases": [ "Validate tool calls before they execute", "Detect and respond to agent behavior drift", "Pause execution for human approval when needed" ], "pros": [ "Sub-millisecond validation latency", "Comprehensive test suite (829 tests)", "Multiple governance mechanisms integrated into one server" ], "cons": [ "Zero GitHub stars may indicate limited community adoption", "Requires existing MCP infrastructure to integrate", "Additional governance step adds complexity to agent pipelines" ], "tags": [ "agent-governance", "ai-governance", "mcp", "mcp-server", "model-context-protocol", "pre-execution-blocking", "typescript" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/chrbailey/promptspeak-mcp-server", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/chrbailey-promptspeak-mcp-server" }, { "slug": "chrisbusbin-pixel-propfirmdealfinder-mcp-server", "name": "chrisbusbin-pixel/propfirmdealfinder-mcp-server", "vendor": "Various", "tagline": "MCP server for Prop Firm Deal Finder - lets AI assistants query live prop firm discount codes, compare firms, and find the cheapest challenges across 20+ proprietary trading firms.", "description": "This MCP server connects AI assistants to the Prop Firm Deal Finder database. It lets assistants query live discount codes, compare firms, and find the cheapest challenges across over 20 proprietary trading firms. The server uses JavaScript and provides structured access to deal data.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Traders and developers automating prop firm challenge comparisons", "useCases": [ "Querying live discount codes for prop firms", "Comparing pricing across multiple proprietary trading firms", "Finding the cheapest challenge packages programmatically" ], "pros": [ "Aggregates deal data from over 20 prop firms", "Enables automated firm-to-firm comparisons", "Designed for direct integration with AI assistants via MCP" ], "cons": [ "Specifically limited to prop firm deals only", "Depends on the accuracy and freshness of the upstream Prop Firm Deal Finder data", "Requires MCP setup and is not a standalone application" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/chrisbusbin-pixel/propfirmdealfinder-mcp-server", "relations": { "works_in": [ "cline", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/chrisbusbin-pixel-propfirmdealfinder-mcp-server" }, { "slug": "chrisgve-workspace-qdrant-mcp", "name": "ChrisGVE/workspace-qdrant-mcp", "vendor": "Various", "tagline": "Project-scoped Qdrant MCP server for workspace collections with scratchbook functionality. Python port of claude-qdrant-mcp with FastEmbed and project-aware collection management.", "description": "A project-scoped Qdrant MCP server that manages workspace collections with a scratchbook feature. It is a Python port of claude-qdrant-mcp, using FastEmbed for embeddings and providing project-aware collection management.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a lightweight, project-scoped Qdrant MCP server for workspace-specific vector storage", "useCases": [ "Manage vector collections scoped to specific projects or workspaces", "Store and retrieve embeddings with a scratchbook for quick notes", "Integrate Qdrant vector search into MCP-compatible tools" ], "pros": [ "Project-aware collection management keeps data organized", "Scratchbook feature enables quick ad-hoc storage", "Leverages FastEmbed for efficient embedding generation" ], "cons": [ "Very early stage with only 1 star and limited community adoption", "Python port may lag behind the original Rust-based claude-qdrant-mcp", "Dependency on FastEmbed may limit embedding model choices" ], "tags": [ "ai-tools", "asyncio", "claude-code", "claude-desktop", "cli", "document-management", "embeddings", "fastmcp" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Rust" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/ChrisGVE/workspace-qdrant-mcp", "relations": { "works_in": [], "uses": [ "qdrant" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/chrisgve-workspace-qdrant-mcp" }, { "slug": "chrishayuk-mcp-cli", "name": "chrishayuk/mcp-cli", "vendor": "Various", "tagline": "🐍 🏠 - Yet another CLI tool for testing MCP servers", "description": "chrishayuk/mcp-cli is a Python command-line tool for testing Model Context Protocol (MCP) servers. It provides a simple interface to send requests and inspect responses from MCP endpoints. The tool is open source and hosted on GitHub.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building or maintaining MCP servers who need a lightweight testing tool", "useCases": [ "Verifying that an MCP server responds correctly to queries", "Debugging MCP protocol interactions during development", "Quickly testing MCP server compliance with the specification" ], "pros": [ "Simple CLI reduces friction for quick tests", "Open source with visible code and community contributions", "Lightweight Python dependency for easy integration into workflows" ], "cons": [ "Limited to testing MCP servers only", "No graphical interface for visualizing interactions", "Relatively new project with evolving feature set" ], "tags": [], "featured": false, "tier": "curated", "stars": 1978, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-05-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/chrishayuk/mcp-cli", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp", "browsermcp-mcp", "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/chrishayuk-mcp-cli" }, { "slug": "christianhinge-dicom-mcp", "name": "ChristianHinge/dicom-mcp", "vendor": "Various", "tagline": "Model Context Protocol (MCP) for interacting with dicom servers (PACS etc.)", "description": "A Model Context Protocol (MCP) server that enables AI agents to query and retrieve medical images from DICOM servers (PACS). It wraps standard DICOM networking protocols into a tool-calling interface for LLMs.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants for radiology or medical imaging workflows", "useCases": [ "Query PACS for patient studies by ID or date range", "Retrieve DICOM images for automated analysis or reporting", "Integrate medical imaging workflows with AI assistants" ], "pros": [ "Bridges medical imaging systems with LLM tool use", "Open source with active community (96 stars)", "Python-based, easy to extend or embed" ], "cons": [ "Requires access to a DICOM server (PACS) to be useful", "Limited to query/retrieve operations, no write or delete", "Niche use case outside healthcare IT" ], "tags": [], "featured": false, "tier": "curated", "stars": 96, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-12-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/ChristianHinge/dicom-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/christianhinge-dicom-mcp" }, { "slug": "christulino-todoist-v1-mcp-server", "name": "christulino/todoist-v1-mcp-server", "vendor": "Various", "tagline": "A clean, reliable MCP (Model Context Protocol) server for Todoist — built on the Todoist unified API v1.", "description": "An MCP (Model Context Protocol) server that connects AI assistants to Todoist via the Todoist unified API v1. It enables reading and writing tasks, projects, and labels through a standardized protocol. Built in TypeScript with no external dependencies beyond the Todoist API.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-driven task management workflows with Todoist", "useCases": [ "Automate task creation from natural language prompts in an AI chat interface", "Query and filter upcoming tasks or projects programmatically", "Integrate Todoist with other MCP-compatible tools or agents" ], "pros": [ "Clean, focused implementation using the official Todoist API", "Leverages the emerging MCP standard for modular AI tool integration", "TypeScript codebase is readable and easy to modify" ], "cons": [ "Zero stars and no community validation indicate lack of widespread testing or feedback", "Relies on Todoist API v1, which has rate limits and may require authentication setup", "MCP ecosystem is still maturing, so compatibility with different hosts may vary" ], "tags": [ "claude", "mcp", "model-context-protocol", "todoist" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/christulino/todoist-v1-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "eyaltoledano-claude-task-master" ], "alternative_to": [ "eyaltoledano-claude-task-master" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/christulino-todoist-v1-mcp-server" }, { "slug": "chroma-core-chroma-mcp", "name": "chroma-core/chroma-mcp", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server implementation that provides database capabilities for Chroma", "description": "A Python-based MCP server that exposes Chroma vector database operations through the Model Context Protocol. It allows AI agents to store, query, and manage embeddings via a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based AI agents that need persistent vector storage and retrieval", "useCases": [ "Connect AI agents to a Chroma vector store for semantic search", "Persist and retrieve embeddings from agentic workflows", "Manage collections and documents through MCP tool calls" ], "pros": [ "Leverages the popular Chroma vector database for production-grade storage", "Simple MCP integration for any MCP-compatible AI agent", "Open source with active community (554 stars)" ], "cons": [ "Requires a running Chroma instance or configuration", "Limited to Chroma's feature set (no multi-vector or hybrid search)", "Python-only, may not fit non-Python agent stacks" ], "tags": [], "featured": false, "tier": "curated", "stars": 554, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2025-09-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/chroma-core/chroma-mcp", "relations": { "works_in": [], "uses": [ "chroma" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/chroma-core-chroma-mcp" }, { "slug": "chronolapse411-sicarius-guard", "name": "Chronolapse411/sicarius-guard", "vendor": "Various", "tagline": "Solana Token Safety Oracle for AI Agents & Trading Bots — byte-level SPL analysis, honeypot detection, Birdeye enrichment, MCP server", "description": "Sicarius Guard is a TypeScript library that provides a Solana token safety oracle for AI agents and trading bots. It performs byte-level SPL analysis and honeypot detection, enriched with Birdeye data, and can run as an MCP server.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building Solana trading bots or AI agents that need local token safety verification", "useCases": [ "Integrating token safety checks into autonomous trading bots on Solana", "Adding honeypot detection to AI agent workflows", "Enriching on-chain token analysis with Birdeye metadata" ], "pros": [ "Provides deep byte-level SPL analysis for robust token inspection", "Includes honeypot detection to prevent common token scams", "Works as an MCP server for flexible agent integration" ], "cons": [ "Low community traction with only 1 star on GitHub", "Limited documentation and support available", "Depends on Birdeye API which may have usage costs or rate limits" ], "tags": [ "ai-agents", "birdeye", "blockchain", "cryptocurrency", "defi", "helius", "honeypot-detection", "mcp-server" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/Chronolapse411/sicarius-guard", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/chronolapse411-sicarius-guard" }, { "slug": "chronulusai-chronulus-mcp", "name": "ChronulusAI/chronulus-mcp", "vendor": "Various", "tagline": "MCP Server for Chronulus AI Forecasting and Prediction Agents", "description": "Chronulus-mcp is a Model Context Protocol server that exposes Chronulus AI forecasting and prediction agents as callable tools. It allows developers to integrate probabilistic predictions into LLM workflows by defining prediction tasks and retrieving forecast results through a standardized MCP interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or assistants that need structured probabilistic forecasts", "useCases": [ "Add probabilistic forecasting to AI assistants for business or market predictions", "Automate scenario analysis by querying prediction agents from chat interfaces", "Build decision-support tools that combine LLM reasoning with structured forecasts" ], "pros": [ "Provides a clean MCP interface for integrating specialized forecasting models", "Written in Python, easy to extend or embed in existing Python projects", "Active development with 108 GitHub stars indicates community interest" ], "cons": [ "Requires understanding of both MCP protocol and Chronulus AI API", "Limited to forecasting tasks; not a general-purpose tool", "Dependency on external Chronulus AI service for predictions" ], "tags": [], "featured": false, "tier": "curated", "stars": 108, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-07-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/ChronulusAI/chronulus-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "pydantic-pydantic-ai-mcp-run-python" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/chronulusai-chronulus-mcp" }, { "slug": "chunkydotdev-bldbl-mcp", "name": "Chunkydotdev/bldbl-mcp", "vendor": "Various", "tagline": "📇 ☁️ 🍎 🪟 🐧 - Official MCP server for Buildable AI-powered development platform [bldbl.dev](https://bldbl.dev). Enables AI assistants to manage tasks, track progress, get projec", "description": "An official MCP server for the Buildable development platform. It allows AI assistants to manage tasks, track progress, and retrieve project information through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Buildable who want AI assistants to manage project tasks and progress", "useCases": [ "Integrate AI assistants with Buildable to create and update tasks", "Track project progress via AI-driven queries", "Retrieve project details and status from Buildable" ], "pros": [ "Official integration with Buildable platform", "Written in TypeScript for type safety", "Open source with permissive license" ], "cons": [ "Low GitHub stars (12) indicates early adoption", "Limited community support and documentation", "Dependent on Buildable platform availability" ], "tags": [], "featured": false, "tier": "curated", "stars": 12, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-07-03", "addedAt": "2026-06-01", "officialLink": "https://github.com/chunkydotdev/bldbl-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "eyaltoledano-claude-task-master", "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/chunkydotdev-bldbl-mcp" }, { "slug": "cifero74-mcp-apple-music", "name": "Cifero74/mcp-apple-music", "vendor": "Various", "tagline": "Full Apple Music integration for Claude via MCP — search catalog, manage library & playlists", "description": "This tool provides an MCP server that connects Claude to Apple Music. It allows searching the Apple Music catalog, managing the user's library, and controlling playlists through the Model Context Protocol. The integration is built in Python and runs as a local server for Claude to interact with.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building Claude assistants that need programmatic Apple Music control.", "useCases": [ "Search Apple Music catalog from Claude conversations.", "Create and modify playlists in Apple Music via AI commands.", "Retrieve library metadata and control playback through MCP." ], "pros": [ "Directly controls Apple Music from Claude without extra middleware.", "Open source and written in Python, easy to audit or extend.", "Follows the MCP standard for straightforward integration with Claude." ], "cons": [ "Requires an Apple Music subscription and macOS to function fully.", "Small project with only 28 stars, limited community support.", "Setup requires local server configuration and Apple Music permissions." ], "tags": [ "anthropic", "apple-music", "claude", "fastmcp", "mcp", "musickit", "python" ], "featured": false, "tier": "curated", "stars": 28, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/Cifero74/mcp-apple-music", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/cifero74-mcp-apple-music" }, { "slug": "cinderwright-ai-cinderwright-api", "name": "cinderwright-ai/cinderwright-api", "vendor": "Various", "tagline": "MCP server + x402 Discovery Hub. Search engine for the agent economy. 1450+ services indexed.", "description": "A search engine for the agent economy, implemented as an MCP server and x402 Discovery Hub. It indexes over 1,450 services, allowing agents to discover and connect to available resources.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building agent systems that need a centralized directory of MCP services", "useCases": [ "Discover MCP services for agent workflows", "Integrate service discovery into agent systems", "Find APIs or tools indexed by the hub" ], "pros": [ "Indexes a large number of services (1,450+)", "Open source on GitHub", "Uses standard MCP protocol for interoperability" ], "cons": [ "Very low GitHub stars (1) indicates limited adoption or early stage", "May lack community support or documentation", "Reliability and maintenance uncertain" ], "tags": [ "agent", "ai-agent", "api", "autonomous-agent", "base", "discovery", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/cinderwright-ai/cinderwright-api", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/cinderwright-ai-cinderwright-api" }, { "slug": "cipherfoxie-sovereign-mcp", "name": "cipherfoxie/sovereign-mcp", "vendor": "Various", "tagline": "MCP server for the Sovereign AI Blog: Search, retrieve, and diagnose tools for self-hosted AI on NVIDIA DGX Spark.", "description": "An MCP server for the Sovereign AI Blog that enables searching, retrieving, and diagnosing tools for self-hosted AI on NVIDIA DGX Spark. Built in Python with 2 GitHub stars.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring self-hosted AI tooling on NVIDIA DGX Spark who want an MCP-based search layer", "useCases": [ "Search for self-hosted AI tools curated on the Sovereign AI Blog", "Retrieve metadata and diagnostic info for DGX Spark compatible tools", "Integrate with MCP clients to query tool recommendations programmatically" ], "pros": [ "Focused on a specific niche: self-hosted AI on DGX Spark", "Provides a programmatic interface (MCP) for tool discovery", "Simple Python codebase easy to understand or extend" ], "cons": [ "Very low community adoption (2 stars on GitHub)", "Limited to tools listed on the Sovereign AI Blog only", "No recent updates or documentation beyond the description" ], "tags": [ "ai-agents", "fastmcp", "mcp", "mcp-server", "model-context-protocol", "nvidia-dgx-spark", "python", "self-hosted" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/cipherfoxie/sovereign-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "ollama" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/cipherfoxie-sovereign-mcp" }, { "slug": "circleci-mcp-server-circleci", "name": "CircleCI/mcp-server-circleci", "vendor": "Various", "tagline": "A specialized server implementation for the Model Context Protocol (MCP) designed to integrate with CircleCI's development workflow. This project serves as a bridge between CircleC", "description": "This MCP server provides a bridge between CircleCI and the Model Context Protocol, allowing AI tools to query and control CircleCI pipelines. It exposes CircleCI resources such as pipelines, jobs, and workflows through the standard MCP interface. The implementation is written in TypeScript and designed for integration with MCP-compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using CircleCI who want to control CI/CD workflows through natural language interfaces or AI assistants", "useCases": [ "Monitor pipeline status and job logs from an AI coding assistant", "Trigger new builds or rerun failed jobs directly via natural language commands", "Retrieve build artifacts and environment variables for debugging" ], "pros": [ "Follows the MCP standard, enabling easy integration with multiple AI clients", "Written in TypeScript, making it accessible to a large developer community", "Open source with a clear, focused scope tied to CircleCI" ], "cons": [ "Limited to CircleCI users; no support for other CI platforms", "Relatively new project with only 84 stars and likely limited community support", "Requires an MCP-compatible client and a running MCP host infrastructure" ], "tags": [ "mcp-server", "modelcontextprotocol" ], "featured": false, "tier": "curated", "stars": 84, "language": [ "TypeScript" ], "lastUpdated": "2026-05-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/CircleCI-Public/mcp-server-circleci", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/circleci-mcp-server-circleci" }, { "slug": "citedy-citedy-seo-agent", "name": "Citedy/citedy-seo-agent", "vendor": "Various", "tagline": "AI-powered SEO content automation agent skill — trend scouting, competitor analysis, article generation in 55 languages, social media adaptations, and cron-based sessions.", "description": "Citedy/citedy-seo-agent is an open-source SEO content automation agent written in JavaScript. It performs trend scouting, competitor analysis, and article generation in 55 languages, and can adapt content for social media. The agent supports cron-based scheduled sessions for recurring tasks.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a lightweight, multilingual SEO content automation agent", "useCases": [ "Automate multilingual SEO article generation", "Monitor competitor content and identify trends", "Schedule recurring content creation and social media posts" ], "pros": [ "Supports 55 languages for broad content reach", "Includes trend scouting and competitor analysis", "Cron-based scheduling enables hands-off operation" ], "cons": [ "Low community adoption (13 stars) may limit support and updates", "Requires JavaScript environment and manual setup", "May lack advanced customization or integration options" ], "tags": [ "agent-skills", "ai-agent", "autogpt", "content-marketing", "seo" ], "featured": false, "tier": "curated", "stars": 13, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/Citedy/citedy-seo-agent", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/citedy-citedy-seo-agent" }, { "slug": "cjo4m06-mcp-shrimp-task-manager", "name": "cjo4m06/mcp-shrimp-task-manager", "vendor": "Various", "tagline": "Shrimp Task Manager is a task tool built for AI Agents, emphasizing chain-of-thought, reflection, and style consistency. It converts natural language into structured dev tasks with", "description": "Shrimp Task Manager converts natural language into structured development tasks with dependency tracking and iterative refinement. It emphasizes chain-of-thought reasoning, reflection, and style consistency for AI agents. The tool is built in JavaScript and enables agent-like developer behavior in reasoning AI systems.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building reasoning AI agents that need structured, reflective task management", "useCases": [ "Converting natural language requests into structured development tasks", "Managing task dependencies in AI-driven workflow pipelines", "Iteratively refining tasks using reflection and chain-of-thought logic" ], "pros": [ "Transforms natural language into actionable, structured tasks", "Supports dependency tracking for complex workflow management", "Built on chain-of-thought and reflection for higher quality outputs" ], "cons": [ "Primarily designed for AI agent contexts, not general task management", "May require integration with the MCP framework to function fully", "Limited to JavaScript environments without additional tooling" ], "tags": [ "agent", "ai", "codeagent", "coding-assistant", "cursor-ai", "cursorai", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 2106, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2025-08-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/cjo4m06/mcp-shrimp-task-manager", "relations": { "works_in": [ "cline", "cursor", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "eyaltoledano-claude-task-master" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/cjo4m06-mcp-shrimp-task-manager" }, { "slug": "ckanthony-chisel", "name": "ckanthony/Chisel", "vendor": "Various", "tagline": "🪛 Rust powered precision file tools for AI agents thats minimize context use: patch-based edits, kernel-enforced path confinement. Dramatically fewer tokens than naive read/write.", "description": "Chisel is a Rust-based toolkit that provides patch-based file editing and kernel-enforced path confinement for AI agents. It reduces token usage compared to naive read/write operations and can be used as an MCP server or embedded directly.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need efficient, secure file editing with minimal context usage.", "useCases": [ "Apply precise file patches with minimal token overhead", "Restrict agent file access to confined directories", "Integrate as an MCP server in Rust, Python, or Node.js projects" ], "pros": [ "Dramatically lower token consumption for file operations", "Kernel-level path confinement improves security", "Works as standalone MCP server or embeddable library" ], "cons": [ "Small community with only 12 GitHub stars", "Requires Rust toolchain for compilation", "Limited documentation beyond the provided Skills.md" ], "tags": [], "featured": false, "tier": "curated", "stars": 12, "language": [ "Rust" ], "lastUpdated": "2026-03-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/ckanthony/Chisel", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ckanthony-chisel" }, { "slug": "ckanthony-gin-mcp", "name": "ckanthony/gin-mcp", "vendor": "Various", "tagline": "Enable MCP features for any Gin API with a line of code", "description": "A Go middleware that adds Model Context Protocol (MCP) endpoints to any Gin-based API with a single line of code. It automatically exposes existing routes as MCP tools, allowing AI agents to interact with the API through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Go developers using Gin who want to quickly expose their API as MCP tools for AI agents", "useCases": [ "Quickly add MCP support to an existing Gin API without rewriting routes", "Expose backend services as tools for AI agents or assistants", "Prototype MCP integrations in Go projects using the Gin framework" ], "pros": [ "Minimal integration effort: one line of code to enable MCP", "Leverages existing Gin route definitions automatically", "Lightweight and focused on a single framework" ], "cons": [ "Limited to Gin framework, not usable with other Go routers", "Small community and low star count may indicate limited testing", "No built-in authentication or rate limiting for MCP endpoints" ], "tags": [], "featured": false, "tier": "curated", "stars": 78, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-05-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/ckanthony/gin-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ckanthony-gin-mcp" }, { "slug": "ckanthony-openapi-mcp", "name": "ckanthony/openapi-mcp", "vendor": "Various", "tagline": "Dockerized MCP Server to allow your AI agent to access any API with existing api docs", "description": "A Dockerized MCP server that converts OpenAPI specifications into MCP tools, enabling AI agents to interact with any API via its documentation. It reads existing API docs and exposes endpoints as callable tools for agents.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to quickly bridge AI agents with existing REST APIs using OpenAPI docs", "useCases": [ "Connecting AI agents to REST APIs without custom integration", "Auto-generating tool definitions from OpenAPI specs", "Enabling autonomous API workflows through MCP-compatible agents" ], "pros": [ "Works with any OpenAPI-defined API", "Dockerized for easy deployment", "Written in Go for performance" ], "cons": [ "Requires existing OpenAPI documentation for target APIs", "Limited to REST APIs with OpenAPI specs", "Dependency on MCP protocol compatibility" ], "tags": [], "featured": false, "tier": "curated", "stars": 188, "language": [ "Go" ], "lastUpdated": "2026-03-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/ckanthony/openapi-mcp", "relations": { "works_in": [], "uses": [ "docker" ], "built_with": [], "pairs_with": [ "cline", "cursor" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ckanthony-openapi-mcp" }, { "slug": "ckbrennan-overtone-news-mcp", "name": "CKBrennan/overtone-news-mcp", "vendor": "Various", "tagline": "MCP server for the Overtone Intelligence API — news with tone, brand safety, and narrative shift signals for agents", "description": "An MCP server that wraps the Overtone Intelligence API, enabling AI agents to retrieve news enriched with tone analysis, brand safety assessments, and narrative shift signals. It exposes these structured signals through the Model Context Protocol so agents can programmatically filter and evaluate news content.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need nuanced, safety-aware news analysis from a single API", "useCases": [ "Integrate brand safety checks into a news aggregation agent", "Monitor narrative shifts in coverage about a specific topic or entity", "Filter news streams by tone (e.g., positive, negative, neutral) for automated reporting" ], "pros": [ "Leverages MCP for straightforward integration with agent frameworks", "Provides structured, actionable signals (tone, brand safety, narrative shift) beyond raw text", "Python codebase is easy to extend and deploy" ], "cons": [ "Zero stars and unknown maintenance cadence indicate an early-stage project", "Requires an Overtone Intelligence API key, adding a dependency and potential cost", "Limited documentation and community support outside the repository" ], "tags": [ "ai-agent", "anthropic", "claude", "claude-code", "contextual-intelligence", "llm-tools", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/CKBrennan/overtone-news-mcp", "relations": { "works_in": [ "cline", "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ckbrennan-overtone-news-mcp" }, { "slug": "ckreiling-mcp-server-docker", "name": "ckreiling/mcp-server-docker", "vendor": "Various", "tagline": "MCP server for Docker", "description": "An MCP server that lets AI agents interact with Docker containers and images. It exposes Docker operations as tools via the Model Context Protocol, enabling agents to list containers, inspect images, and execute commands inside running containers.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to manage Docker containers programmatically", "useCases": [ "Automating container lifecycle management from an AI assistant", "Running diagnostic commands inside containers without manual SSH", "Integrating Docker operations into agentic workflows and pipelines" ], "pros": [ "Simple Python implementation with clear MCP tool definitions", "Popular project with 717 stars indicating community trust", "Enables direct container interaction without custom scripting" ], "cons": [ "Limited to Docker operations exposed by the MCP server's tool set", "Requires the MCP host to have Docker socket access, a security consideration", "No built-in support for Docker Compose or multi-container orchestration" ], "tags": [], "featured": false, "tier": "curated", "stars": 717, "language": [ "Python" ], "license": "GPL-3.0", "lastUpdated": "2025-06-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/ckreiling/mcp-server-docker", "relations": { "works_in": [ "cline", "claude-code", "cursor" ], "uses": [ "docker" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ckreiling-mcp-server-docker" }, { "slug": "claudecodenavi-claudecodenavi-mcp", "name": "ClaudeCodeNavi/claudecodenavi-mcp", "vendor": "Various", "tagline": "ClaudeCodeNavi MCP Server - Claude Code knowledge platform & marketplace", "description": "ClaudeCodeNavi MCP Server is a Model Context Protocol server that acts as a knowledge platform and marketplace for Claude Code. It enables sharing and discovery of reusable knowledge, tools, and configurations within the Claude Code ecosystem.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with Claude Code who want a lightweight shared knowledge base and marketplace", "useCases": [ "Share and discover Claude Code knowledge snippets and best practices", "Browse a marketplace of community-contributed tools and configurations", "Integrate shared knowledge into Claude Code workflows via MCP" ], "pros": [ "Leverages the Model Context Protocol for standardized integration", "Open source and extensible for custom knowledge sharing", "Simple JavaScript implementation easy to modify or deploy" ], "cons": [ "Very early stage with only 1 star and minimal community adoption", "Limited documentation and examples beyond the basic description", "Unclear reliability and maintenance commitment from the vendor" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "JavaScript" ], "lastUpdated": "2026-02-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/saikiyusuke/claudecodenavi-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/claudecodenavi-claudecodenavi-mcp" }, { "slug": "clamp-sh-mcp", "name": "clamp-sh/mcp", "vendor": "Various", "tagline": "Analytics MCP server for Clamp Analytics. Gives Claude, Cursor, VS Code, Windsurf, and Cline tools for traffic, pages, events, revenue, errors, funnels, cohorts, and alerts. Stdio", "description": "An MCP server that exposes Clamp Analytics data through the Model Context Protocol. It allows AI coding assistants like Claude, Cursor, and VS Code to query traffic, pages, events, revenue, errors, funnels, cohorts, and alerts. Supports both stdio and hosted Remote MCP connections.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers already using Clamp Analytics who want to query data through an MCP-compatible AI assistant.", "useCases": [ "Integrating analytics queries into an AI coding assistant workflow", "Getting real-time traffic or revenue data without leaving the editor", "Alerting on errors or funnel drop-offs via natural language prompts" ], "pros": [ "Works with multiple popular AI assistants (Claude, Cursor, VS Code, Windsurf, Cline)", "Provides a broad set of analytics dimensions (traffic, events, revenue, funnels, etc.)", "Offers both local (stdio) and remote hosting options" ], "cons": [ "Very early stage with only 1 GitHub star (limited community or proof of use)", "Documentation and examples likely minimal due to low adoption", "Dependency on Clamp Analytics – not useful without an existing Clamp account" ], "tags": [ "ai-agents", "analytics", "clamp", "claude", "claude-code", "claude-desktop", "cline", "cohorts" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/clamp-sh/mcp", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/clamp-sh-mcp" }, { "slug": "clawaimail-mcp", "name": "clawaimail/mcp", "vendor": "Various", "tagline": "clawaimail/mcp — indexed from awesome-mcp-servers-punkpeye", "description": "clawaimail/mcp is a Model Context Protocol server that enables AI assistants to interact with email. It provides tools for sending, reading, and managing email messages through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with MCP-based email automation", "useCases": [ "Automate email responses and follow-ups", "Search and retrieve specific email threads", "Integrate email workflows into AI agent pipelines" ], "pros": [ "Simple HTML-based implementation for easy setup", "Standard MCP protocol ensures compatibility with many AI tools", "Lightweight with minimal dependencies" ], "cons": [ "Zero stars and limited community adoption", "No clear documentation or usage examples", "Potential security risks with email access via AI" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "HTML" ], "license": "MIT", "lastUpdated": "2026-03-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/joansongjr/clawaimail", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [ "elie222-inbox-zero" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/clawaimail-mcp" }, { "slug": "clawdbotworker-imagegen-mcp", "name": "clawdbotworker/imagegen-mcp", "vendor": "Various", "tagline": "clawdbotworker/imagegen-mcp — indexed from awesome-mcp-servers-punkpeye", "description": "An MCP server that wraps an image generation API, enabling AI assistants to create images from text prompts. It integrates with model context protocol clients to produce images programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or chatbots that need to produce images as part of their responses", "useCases": [ "Generate images on demand from natural language descriptions", "Add image creation capabilities to AI agent workflows", "Automate visual content production via MCP-compatible interfaces" ], "pros": [ "Straightforward integration with any MCP-compatible client", "Open source and customizable to different backends", "Reduces complexity of connecting image generation to AI tools" ], "cons": [ "Requires an external image generation API and corresponding API key", "Output quality and speed depend on the underlying service", "Limited documentation beyond the repository README" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/clawdbotworker/imagegen-mcp", "relations": { "works_in": [ "cursor", "cline" ], "uses": [ "stable-diffusion" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/clawdbotworker-imagegen-mcp" }, { "slug": "clickhouse-mcp-clickhouse", "name": "ClickHouse/mcp-clickhouse", "vendor": "Various", "tagline": "Connect ClickHouse to your AI assistants.", "description": "MCP server that connects ClickHouse databases to AI assistants via the Model Context Protocol. It exposes ClickHouse tables as resources and allows SQL queries through tools, enabling natural language interaction with ClickHouse data.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to query ClickHouse data through AI assistants or build natural language interfaces on top of ClickHouse.", "useCases": [ "Query ClickHouse databases from AI chat interfaces", "Browse ClickHouse table schemas and sample data", "Integrate ClickHouse analytics into AI agent workflows" ], "pros": [ "Simple setup with standard MCP configuration", "Direct access to ClickHouse's columnar engine for fast queries", "Active open-source project with 793 stars" ], "cons": [ "Requires running a separate MCP server process", "Limited to SQL queries, no built-in visualization or reporting", "Depends on ClickHouse network accessibility from the server" ], "tags": [], "featured": false, "tier": "curated", "stars": 793, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/ClickHouse/mcp-clickhouse", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/clickhouse-mcp-clickhouse" }, { "slug": "claynsn-agent-discovery-mcp", "name": "Claynsn/agent-discovery-mcp", "vendor": "Various", "tagline": "MCP server for ERC-8004 agent discovery + x402 payment. No smart account, no relay — just EOA signing. Works with Claude Code, OpenClaw, Cursor, Cline.", "description": "An MCP server that enables agent discovery via ERC-8004 and processes x402 payments using only EOA signing, without smart accounts or relays. It integrates with Claude Code, OpenClaw, Cursor, and Cline.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building onchain agent discovery and payment systems with minimal dependencies", "useCases": [ "Discover agents onchain using ERC-8004 standards", "Handle x402 micropayments directly from an EOA", "Integrate agent payment flows into MCP-compatible IDEs" ], "pros": [ "No smart account or relay overhead simplifies setup", "Works with multiple popular MCP clients out of the box", "TypeScript codebase is approachable for most builders" ], "cons": [ "Low community traction with only 3 stars", "Limited to EOA signing, no advanced wallet features", "Narrow focus on ERC-8004 and x402 may not suit general use" ], "tags": [ "agent", "ai-agents", "claude-code", "coinbase", "erc-8004", "mcp", "model-context-protocol", "x402" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/Claynsn/agent-discovery-mcp", "relations": { "works_in": [ "claude-code", "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/claynsn-agent-discovery-mcp" }, { "slug": "clicks-protocol-mcp-server", "name": "clicks-protocol/mcp-server", "vendor": "Various", "tagline": "Autonomous yield for AI agents on Base. 80% liquid, 20% earning. No lockup. One SDK call.", "description": "Clicks Protocol MCP server lets AI agents autonomously generate yield on Base. It keeps 80% of assets liquid and deploys 20% to earning strategies with no lockup. Agents integrate with a single SDK call.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "AI agents needing low-friction yield on Base with liquidity.", "useCases": [ "Deploy idle agent treasury funds to earn yield on Base.", "Maintain liquidity for operations while earning on a portion.", "Integrate autonomous yield generation in one SDK call." ], "pros": [ "No lockup period for deposited assets.", "Most assets remain liquid for agent operations.", "Simple integration with a single SDK call." ], "cons": [ "Only supports the Base blockchain currently.", "Yield is limited to the 20% allocated portion.", "Early stage project with low GitHub stars and limited community." ], "tags": [ "ai-agents", "autonomous-agents", "base", "defi", "ethereum", "mcp", "sdk", "solidity" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/clicks-protocol/clicks-protocol/tree/main/mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/clicks-protocol-mcp-server" }, { "slug": "clouatre-labs-math-mcp-learning-server", "name": "clouatre-labs/math-mcp-learning-server", "vendor": "Various", "tagline": "Educational MCP server with math operations, matrix algebra, data visualization, and persistent workspace", "description": "An educational MCP server that provides math operations, matrix algebra, data visualization, and a persistent workspace. It is built in Python and designed for learning and experimentation with mathematical concepts.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and students learning math concepts through hands-on MCP server interaction", "useCases": [ "Exploring matrix algebra and linear algebra operations interactively", "Creating data visualizations for mathematical functions or datasets", "Building and testing math-related workflows in a persistent workspace" ], "pros": [ "Free and open source with a small, focused codebase", "Persistent workspace supports iterative learning and experimentation", "Covers a range of math topics from basic operations to matrix algebra" ], "cons": [ "Limited to educational use, not optimized for production workloads", "Small community and low star count may mean slower updates or support", "Requires Python environment setup and MCP client integration" ], "tags": [ "calculator", "educational", "fastmcp", "fastmcp-3", "mathematics", "mcp", "mcp-server", "python" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "Python" ], "lastUpdated": "2026-05-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/clouatre-labs/math-mcp-learning-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "pydantic-pydantic-ai-mcp-run-python" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/clouatre-labs-math-mcp-learning-server" }, { "slug": "cloudbet-sports-mcp-server", "name": "cloudbet/sports-mcp-server", "vendor": "Various", "tagline": "Cloudbet Sports Data MCP Server", "description": "A Go-based MCP server that exposes Cloudbet sports data through the Model Context Protocol. It allows AI assistants and applications to query live sports events, odds, and markets using a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-driven sports data applications using the Model Context Protocol", "useCases": [ "Integrating live sports odds into an AI chatbot or assistant", "Building automated sports betting analytics tools", "Fetching real-time sports event data for data pipelines" ], "pros": [ "Implements the MCP standard for easy integration with AI agents", "Written in Go, offering good performance and simple deployment", "Provides direct access to Cloudbet's sports data without scraping" ], "cons": [ "Low community adoption (13 stars) suggests limited testing and support", "Tied to Cloudbet's API, which may have rate limits or availability constraints", "No built-in authentication or authorization mechanisms documented" ], "tags": [ "mcp", "mcp-server", "sports", "sports-data" ], "featured": false, "tier": "curated", "stars": 13, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2025-07-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/cloudbet/sports-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/cloudbet-sports-mcp-server" }, { "slug": "cloudflare", "name": "Cloudflare MCP Server", "vendor": "Cloudflare", "tagline": "Expose the full Cloudflare platform as MCP tools — Workers, KV, R2, D1, DNS, and Workers AI for any MCP-compatible agent.", "description": "Cloudflare MCP Server exposes the Cloudflare platform APIs as a suite of Model Context Protocol tools, letting agents deploy and manage Workers, query and mutate KV and R2 storage, create and update DNS records, run D1 SQL databases, and invoke Workers AI models — all without leaving an agent session. Hosted as a remote MCP service by Cloudflare, it requires no local server process; agents connect with a scoped API token over HTTP/SSE transport. It works best with Claude Desktop, Claude Code, and any MCP-compatible host that supports remote servers, including Cursor and Windsurf. The server is the reference example of a major cloud vendor shipping a first-party, production-grade MCP surface, making it an essential integration for teams building or operating anything on the Cloudflare edge.", "category": "developer", "pricingTier": "free", "deployEffort": "low", "bestFor": "Teams building or operating applications on the Cloudflare edge who want agents to drive deployments, storage, DNS, and AI workloads end to end", "useCases": [ "Deploy a Cloudflare Worker, bind a KV namespace, and set a DNS route in a single agent session", "Inspect and rotate R2 bucket contents or KV keys through a conversational agent", "Manage DNS records across multiple zones without leaving the agent loop", "Run D1 SQL queries and Workers AI inference from an agent workflow", "Automate Cloudflare configuration drift detection and remediation" ], "pros": [ "Hosted remote MCP — no local server process to manage or update", "Covers the full Cloudflare platform: Workers, KV, R2, D1, DNS, Workers AI", "Official first-party server, kept current with Cloudflare API changes", "Token-scoped access enables per-project or per-zone permission boundaries", "HTTP/SSE transport works with any MCP host that supports remote servers" ], "cons": [ "Default API token scopes are wide; deliberate scoping is required for safety", "Remote-only transport assumes reliable outbound connectivity from the agent host", "Some advanced enterprise features (e.g., Access, Zero Trust) not yet covered", "Cloudflare account required; not useful for teams on other cloud providers" ], "tags": [ "cloud", "infrastructure", "workers", "dns", "mcp", "cloudflare", "r2", "kv", "official", "remote" ], "featured": true, "tier": "curated", "language": [], "addedAt": "2025-01-28", "officialLink": "https://github.com/cloudflare/mcp-server-cloudflare", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "awslabs-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/cloudflare" }, { "slug": "cmcgrabby-hue-syndicate-links", "name": "cmcgrabby-hue/syndicate-links", "vendor": "Various", "tagline": "cmcgrabby-hue/syndicate-links — indexed from awesome-mcp-servers-punkpeye", "description": "A TypeScript MCP server that syndicates links. It provides tools for managing and distributing link content through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with MCP-based link syndication in small or personal projects", "useCases": [ "Syndicating links from a content source to multiple destinations", "Automating link sharing workflows in MCP-compatible environments", "Integrating link distribution into AI agent toolchains" ], "pros": [ "Lightweight and focused on a single task", "Written in TypeScript for type safety and maintainability", "Follows the MCP protocol for interoperability" ], "cons": [ "Zero stars and no community traction yet", "Limited documentation or usage examples available", "Unclear production readiness or maintenance status" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/cmcgrabby-hue/syndicate-links/tree/master/mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/cmcgrabby-hue-syndicate-links" }, { "slug": "co-browser-attestable-mcp-server", "name": "co-browser/attestable-mcp-server", "vendor": "Various", "tagline": "Verify that any MCP server is running the intended and untampered code via hardware attestation.", "description": "This tool uses hardware attestation to verify that any MCP server is running the intended and untampered code. It wraps the server startup process and checks integrity before execution.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers deploying MCP servers in zero-trust or compliance-sensitive environments where code tampering is a risk.", "useCases": [ "Ensure deployed MCP servers have not been modified or replaced.", "Integrate attestation checks into CI/CD pipelines for MCP server builds.", "Audit remote MCP server instances for code integrity in multi-tenant environments." ], "pros": [ "Provides strong, hardware-backed integrity verification.", "Open source with a permissive license (MIT).", "Simple integration via a wrapper for existing MCP servers." ], "cons": [ "Requires hardware that supports attestation (e.g., TPM 2.0 or Intel SGX).", "Low project maturity (18 stars, very early stage).", "Setup and configuration may be complex for non-security experts." ], "tags": [ "mcp", "mcp-server", "remote-attestation", "tee", "verification" ], "featured": false, "tier": "curated", "stars": 18, "language": [ "Python" ], "lastUpdated": "2026-05-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/co-browser/attestable-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/co-browser-attestable-mcp-server" }, { "slug": "cnghockey-sats4ai-mcp-server", "name": "cnghockey/sats4ai-mcp-server", "vendor": "Various", "tagline": "MCP server for Sats4AI — the permissionless communication supercharger for humans and AI agents. 40+ Lightning-paid tools: AI phone calls, voice in 602 languages, translation, fax,", "description": "This MCP server exposes over 40 communication tools paid via Bitcoin Lightning, including phone calls, voice synthesis in 602 languages, translation, fax, transcription, and audiobooks. It requires no API keys or KYC, enabling permissionless access for AI agents through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "AI developers who want permissionless, pay-as-you-go communication tools via MCP", "useCases": [ "Make AI phone calls and send faxes with Lightning payments", "Translate and transcribe audio or text without registration", "Generate audiobooks or voice output in hundreds of languages" ], "pros": [ "Pay-per-use with no subscription or API key needed", "Wide range of communication tools from a single MCP server", "Permissionless access via Bitcoin Lightning" ], "cons": [ "Requires a Lightning Bitcoin wallet and sufficient balance", "Zero stars indicates limited community adoption or early development", "Tool availability and reliability depend on external Lightning services" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/cnghockey/sats4ai-mcp-server", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/cnghockey-sats4ai-mcp-server" }, { "slug": "co-browser-browser-use-mcp-server", "name": "co-browser/browser-use-mcp-server", "vendor": "Various", "tagline": "Browse the web, directly from Cursor etc.", "description": "An open-source MCP server that lets you browse the web directly from Cursor and similar AI coding tools. It provides a Python-based interface for fetching and interacting with web pages without leaving your editor.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Cursor or other MCP-compatible editors who need quick web access inside their coding workflow", "useCases": [ "Retrieving documentation or examples while coding in Cursor", "Fetching live data or API responses during development", "Executing web searches and scraping content inside an IDE" ], "pros": [ "Lightweight and open source (822 stars on GitHub)", "Direct integration with popular AI coding assistants like Cursor", "Simple Python codebase easy to extend or debug" ], "cons": [ "Requires manual setup and configuration of MCP host", "Limited to the Python runtime environment", "Not a full browser: lacks JavaScript rendering and complex interactions" ], "tags": [ "browser", "browser-use", "cursor", "mcp", "mcp-server", "playwright" ], "featured": false, "tier": "curated", "stars": 822, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/co-browser/browser-use-mcp-server", "relations": { "works_in": [ "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "agent-infra-mcp-server-browser", "browsermcp-mcp", "executeautomation-playwright-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/co-browser-browser-use-mcp-server" }, { "slug": "cobanov-teslamate-mcp", "name": "cobanov/teslamate-mcp", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server that provides access to your TeslaMate database, allowing AI assistants to query Tesla vehicle data and analytics.", "description": "A Model Context Protocol (MCP) server that provides access to your TeslaMate database, allowing AI assistants to query Tesla vehicle data and analytics. It is written in Python and connects to a TeslaMate PostgreSQL instance to expose structured vehicle metrics.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Tesla owners who use TeslaMate and want to query their vehicle data through AI assistants", "useCases": [ "Ask an AI assistant for recent trip efficiency or battery usage", "Query historical charging sessions and energy consumption", "Retrieve real-time vehicle location or status via natural language" ], "pros": [ "Lets AI assistants directly query TeslaMate data without manual database access", "Lightweight Python implementation with clear MCP protocol integration", "Open source with 127 stars and active community maintenance" ], "cons": [ "Requires a running TeslaMate instance with PostgreSQL database", "Limited to data already collected by TeslaMate (no direct Tesla API access)", "Setup requires configuring MCP host and database credentials" ], "tags": [ "mcp", "mcp-server", "tesla", "tesla-api", "teslamate" ], "featured": false, "tier": "curated", "stars": 127, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/cobanov/teslamate-mcp", "relations": { "works_in": [ "continue", "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/cobanov-teslamate-mcp" }, { "slug": "codeabra-iai-mcp", "name": "CodeAbra/iai-mcp", "vendor": "Various", "tagline": "The best-benchmarked open-source memory system for AI coding assistants", "description": "An open-source memory system designed to provide persistent context for AI coding assistants. It is benchmarked as the top performer among similar tools and implemented in Python.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using AI coding assistants who need reliable, persistent memory across sessions", "useCases": [ "Give coding assistants long-term memory across multiple sessions", "Store project-specific context for AI code generation", "Integrate with MCP-compatible development tools and editors" ], "pros": [ "Top benchmarked performance among open-source memory systems", "Lightweight Python implementation with clear codebase", "Actively developed with 133 GitHub stars" ], "cons": [ "Relatively small community compared to larger tools", "Requires manual setup and integration into existing workflows", "Primarily focused on AI coding assistants, not general-purpose memory" ], "tags": [ "ai-agents", "ai-memory", "claude", "claude-code", "embeddings", "episodic-memory", "lancedb", "llm-tools" ], "featured": false, "tier": "curated", "stars": 133, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/CodeAbra/iai-mcp", "relations": { "works_in": [ "continue", "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "topoteretes-cognee", "oraios-serena", "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/codeabra-iai-mcp" }, { "slug": "cocaxcode-api-testing-mcp", "name": "cocaxcode/api-testing-mcp", "vendor": "Various", "tagline": "The most complete MCP server for API testing. 27 tools: requests, assertions, flows, OpenAPI, mock data, load testing, collections, environments, cURL export, response diffing. Zer", "description": "An MCP server that provides 27 tools for API testing. It covers requests, assertions, flows, OpenAPI, mock data, load testing, collections, environments, cURL export, and response diffing. Requires zero configuration and zero dependencies.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want a lightweight, zero-config MCP server for API testing", "useCases": [ "Running API request assertions", "Generating mock data for endpoints", "Comparing API responses with diffing" ], "pros": [ "Zero configuration and zero dependencies", "Comprehensive set of 27 testing tools", "Supports multiple testing workflows in one server" ], "cons": [ "Low star count suggests limited adoption or maturity", "May lack extensive documentation or community support", "Unclear maintenance status" ], "tags": [ "ai-tools", "api-testing", "claude", "codex", "cursor", "gemini", "http-client", "load-testing" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/cocaxcode/api-testing-mcp", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/cocaxcode-api-testing-mcp" }, { "slug": "codefuturist-email-mcp", "name": "codefuturist/email-mcp", "vendor": "Various", "tagline": "Email MCP server with full IMAP + SMTP support — read, search, send, manage, and organize email from any AI assistant via the Model Context Protocol", "description": "An open-source TypeScript server that exposes email operations through the Model Context Protocol, enabling AI assistants to read, search, send, and manage email via IMAP and SMTP. It acts as a bridge between an MCP-compatible client and standard email servers.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to give an MCP-compatible AI assistant direct access to a personal or work email account", "useCases": [ "Let an AI assistant read and summarize inbox messages", "Automate sending replies or drafts from a chat interface", "Search and organize emails by criteria without manual filtering" ], "pros": [ "Works with any standard IMAP/SMTP email server", "Lightweight and easy to self-host", "Uses the open MCP standard for broad client compatibility" ], "cons": [ "Requires exposing email credentials to the MCP server", "Limited to IMAP/SMTP features (no OAuth or modern API support)", "Small community and limited documentation due to early stage" ], "tags": [ "ai", "claude", "email", "imap", "imapflow", "llm", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 54, "language": [ "TypeScript" ], "license": "LGPL-3.0", "lastUpdated": "2026-05-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/codefuturist/email-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "elie222-inbox-zero" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/codefuturist-email-mcp" }, { "slug": "codeislaw101-katzilla", "name": "codeislaw101/katzilla", "vendor": "Various", "tagline": "codeislaw101/katzilla — indexed from awesome-mcp-servers-punkpeye", "description": "An MCP server listed in the awesome-mcp-servers collection. It provides a specific capability for AI agents to interact with external systems via the Model Context Protocol. The tool is open source and hosted on GitHub under the codeislaw101 organization.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring MCP servers for AI agent integration and seeking open-source building blocks", "useCases": [ "Integrating with AI agents via the Model Context Protocol", "Extending AI capabilities with custom server-side tools", "Building agentic workflows that require external system access" ], "pros": [ "Open source and freely available on GitHub", "Part of a curated list of MCP servers, indicating community vetting", "Follows a standard protocol for AI agent integration" ], "cons": [ "Limited documentation beyond the listing and repository", "Requires an MCP-compatible client or framework to use", "May have a narrow or niche use case not immediately obvious" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/codeislaw101/katzilla", "relations": { "works_in": [ "cline", "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/codeislaw101-katzilla" }, { "slug": "codelogicincengineering-codelogic-mcp-server", "name": "CodeLogicIncEngineering/codelogic-mcp-server", "vendor": "Various", "tagline": "An MCP Server to utilize Codelogic's rich software dependency data in your AI programming assistant.", "description": "This MCP server exposes CodeLogic's software dependency graph to AI coding assistants via the Model Context Protocol. It lets tools like Claude query dependency relationships, impact analysis, and architectural metadata directly from a CodeLogic instance.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Teams already using CodeLogic who want to query dependency graphs through an AI assistant", "useCases": [ "Ask an AI assistant to trace dependency chains before refactoring a module", "Get impact analysis for a proposed code change across a large codebase", "Query which services or libraries depend on a given component" ], "pros": [ "Bridges rich dependency data into AI workflows without manual lookups", "Reduces context switching by letting developers ask questions in natural language", "Open source and Python-based, easy to extend or self-host" ], "cons": [ "Requires a running CodeLogic instance with indexed codebase data", "Limited to the dependency data CodeLogic has already ingested", "Relatively new project with a small community (36 stars)" ], "tags": [ "ai", "ai-agents", "coding", "developer-tools", "mcp-server" ], "featured": false, "tier": "curated", "stars": 36, "language": [ "Python" ], "license": "MPL-2.0", "lastUpdated": "2026-05-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/CodeLogicIncEngineering/codelogic-mcp-server", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/codelogicincengineering-codelogic-mcp-server" }, { "slug": "codergamester-mcp-unity", "name": "CoderGamester/mcp-unity", "vendor": "Various", "tagline": "Model Context Protocol (MCP) plugin to connect with Unity Editor — designed for Cursor, Claude Code, Codex, Windsurf and other IDEs", "description": "CoderGamester/mcp-unity is a Model Context Protocol plugin that connects AI coding assistants to the Unity Editor. It enables tools like Cursor, Claude Code, Codex, and Windsurf to read scene data, manipulate game objects, and execute Unity commands through natural language. The plugin is written in C# and communicates with the Unity Editor via the MCP standard.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using AI coding assistants to interact with Unity Editor", "useCases": [ "Controlling Unity Editor from AI assistants", "Reading scene hierarchy and component data", "Executing Unity commands via natural language" ], "pros": [ "Open source with 1,737 stars indicating community interest", "Works with multiple popular AI coding IDEs", "Direct integration into Unity Editor workflow" ], "cons": [ "Requires Unity Editor to be running and connected", "Depends on the Model Context Protocol which may have limited adoption", "Documentation and stability may vary as an open source project" ], "tags": [ "claudecode", "codex-cli", "copilot", "cursor", "game-development", "mcp", "model-context-protocol", "openai" ], "featured": false, "tier": "curated", "stars": 1737, "language": [ "C#" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/CoderGamester/mcp-unity", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [ "ahujasid-blender-mcp", "glips-figma-context-mcp", "coding-solo-godot-mcp" ], "alternative_to": [ "coding-solo-godot-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/codergamester-mcp-unity" }, { "slug": "codeurali-mcp-dataverse", "name": "codeurali/mcp-dataverse", "vendor": "Various", "tagline": "MCP server for Microsoft Dataverse Web API for devs !", "description": "An MCP server that wraps the Microsoft Dataverse Web API for developers. It exposes Dataverse entities and actions as MCP tools, enabling LLM-based agents to read and write data. Built in JavaScript, it requires a Microsoft Dataverse environment and authentication.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to interact with Microsoft Dataverse data.", "useCases": [ "Query Dataverse records via natural language through an MCP client", "Automate data entry and updates in Dataverse from AI assistants", "Integrate Dataverse with AI development workflows using the Model Context Protocol" ], "pros": [ "Simple to set up with an existing Dataverse connection", "Leverages standard MCP protocol for easy integration with AI tools", "Open source with JavaScript for broad developer accessibility" ], "cons": [ "Low community adoption with only 9 stars, limiting support and updates", "Requires manual authentication setup for Dataverse API access", "Narrow focus on Dataverse, not useful outside Microsoft ecosystem" ], "tags": [ "dataverse", "mcp-server", "microsoft-dataverse", "model-context-protocol", "power-platform" ], "featured": false, "tier": "curated", "stars": 9, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/codeurali/mcp-dataverse", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/codeurali-mcp-dataverse" }, { "slug": "codex-data-codex-mcp", "name": "codex-data/codex-mcp", "vendor": "Various", "tagline": "A Model Context Protocol server for the Codex API", "description": "A Model Context Protocol server that bridges AI agents with the Codex API. It allows tools to query and interact with Codex data using the standard MCP interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to access Codex API data", "useCases": [ "Enabling AI assistants to access Codex API data", "Integrating Codex data into AI workflows", "Building context-aware AI tools with Codex" ], "pros": [ "Open source TypeScript implementation", "Standard MCP interface for interoperability", "Enables seamless AI integration with Codex API" ], "cons": [ "Small community with only 24 stars", "Depends on Codex API availability", "MCP ecosystem is still emerging" ], "tags": [], "featured": false, "tier": "curated", "stars": 24, "language": [ "TypeScript" ], "lastUpdated": "2025-04-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/Codex-Data/codex-mcp", "relations": { "works_in": [ "cline", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/codex-data-codex-mcp" }, { "slug": "coding-solo-godot-mcp", "name": "Coding-Solo/godot-mcp", "vendor": "Various", "tagline": "MCP server for interfacing with Godot game engine. Provides tools for launching the editor, running projects, and capturing debug output.", "description": "A Model Context Protocol (MCP) server that enables LLM tools to control the Godot game engine. It provides tools to launch the Godot editor, run projects, and capture debug output, allowing AI assistants to interact with game development workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Game developers using Godot who want AI assistance for editing and debugging", "useCases": [ "Launching Godot editor from an AI assistant", "Running game projects and monitoring debug output", "Integrating LLM-based code generation with Godot engine" ], "pros": [ "Well-adopted open source tool with 3965 stars", "Enables AI assistants to directly control Godot engine", "Captures debug output for error detection" ], "cons": [ "Requires the MCP protocol and compatible AI clients", "Not an official Godot tool, may lack full engine API coverage", "Debug output capture may be limited to basic stdout" ], "tags": [ "ai", "godot", "mcp" ], "featured": false, "tier": "curated", "stars": 3965, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/Coding-Solo/godot-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "ahujasid-blender-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/coding-solo-godot-mcp" }, { "slug": "coinpaprika-dexpaprika-mcp", "name": "coinpaprika/dexpaprika-mcp", "vendor": "Various", "tagline": "DexPaprika MCP server allows access real-time and historical data on crypto tokens, DEX trading activity, and liquidity across multiple blockchains. It enables natural language que", "description": "DexPaprika MCP server provides access to real-time and historical data on crypto tokens, DEX trading activity, and liquidity across multiple blockchains. It uses natural language queries through a standardized MCP interface for exploring market trends, token performance, and DeFi analytics.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and analysts who want conversational access to multi-chain DeFi data", "useCases": [ "Query DEX trading activity across multiple blockchains", "Analyze historical token performance and liquidity trends", "Explore DeFi analytics with natural language questions" ], "pros": [ "Natural language queries reduce need for complex API calls", "Covers multiple blockchains for broad DeFi data access", "Standardized MCP protocol integrates with compatible clients" ], "cons": [ "Requires an MCP compatible client to use", "Data scope is limited to DexPaprika sources", "Small community with 40 stars and limited support" ], "tags": [ "claude-integration", "crypto-analysis-tool", "crypto-api", "cryptocurrency", "defi", "dex", "dexpaprika", "mcp" ], "featured": false, "tier": "curated", "stars": 40, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/coinpaprika/dexpaprika-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/coinpaprika-dexpaprika-mcp" }, { "slug": "colapsis-transfa", "name": "colapsis/transfa", "vendor": "Various", "tagline": "WeTransfer for agents. Dead-simple file sharing CLI for AI agents and developers.", "description": "A dead-simple CLI for file sharing, built for AI agents and developers. It works as a command-line tool to transfer files between agents or users with minimal setup.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and AI agents needing a minimalist CLI file sharing tool", "useCases": [ "Share files between AI agents in automated workflows", "Quickly send files to collaborators via terminal", "Integrate file transfer into scripting pipelines" ], "pros": [ "Extremely simple to use with a CLI focus", "Designed specifically for agent-to-agent file sharing", "Lightweight and fast for basic transfers" ], "cons": [ "Small user base with only 14 stars", "Limited documentation and community support", "May lack advanced features like encryption or resumable uploads" ], "tags": [ "cicd", "cli", "devops", "file-sharing", "file-transfer", "mcp", "nodejs", "rest-api" ], "featured": false, "tier": "curated", "stars": 14, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/colapsis/transfa", "relations": { "works_in": [ "claude-code", "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [ "mickaelkerjean-filestash" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/colapsis-transfa" }, { "slug": "comet-ml-opik-mcp", "name": "Comet-ML/Opik-MCP", "vendor": "Various", "tagline": "Model Context Protocol (MCP) implementation for Opik enabling seamless IDE integration and unified access to prompts, projects, traces, and metrics.", "description": "Comet-ML/Opik-MCP implements the Model Context Protocol for Opik, enabling developers to access prompts, projects, traces, and metrics directly from their IDE. It reduces context switching by bringing Opik's observability data into the development environment.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Opik for LLM observability who want to stay in their IDE", "useCases": [ "View Opik traces and metrics without leaving the IDE", "Manage prompts and projects through MCP integration", "Debug LLM applications using unified telemetry access" ], "pros": [ "Open source with 206 GitHub stars and active development", "Python-based, easy to integrate into existing Python workflows", "Leverages MCP standard for broad IDE compatibility" ], "cons": [ "Requires a running Opik backend to function", "Limited to environments that support the MCP protocol", "Relatively new project with a small community" ], "tags": [ "generative-ai", "mcp-server", "modelcontextprotocol", "typescript" ], "featured": false, "tier": "curated", "stars": 206, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/comet-ml/opik-mcp", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [ "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/comet-ml-opik-mcp" }, { "slug": "competlab-competlab-mcp-server", "name": "competlab/competlab-mcp-server", "vendor": "Various", "tagline": "Competitive intelligence MCP server — monitor competitors and track how AI ranks your brand", "description": "An MCP server that provides competitive intelligence by monitoring competitors and tracking how AI ranks your brand. Built in TypeScript, it exposes data through the Model Context Protocol for integration with compatible AI tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants or agents that need real-time competitive monitoring data", "useCases": [ "Monitor mentions or activity of specified competitors via MCP-enabled agents", "Track brand position or ranking in AI-generated outputs or summaries", "Feed competitive data into automated reporting or analysis pipelines" ], "pros": [ "Leverages the standard Model Context Protocol for easy integration", "Focuses on a niche competitive intelligence use case", "TypeScript implementation allows type safety and modern development" ], "cons": [ "Zero stars indicate very early stage or minimal adoption", "Requires an MCP-compatible client to be useful", "Documentation and community support are likely limited" ], "tags": [ "ai-visibility", "competitive-intelligence", "mcp", "mcp-server", "model-context-protocol", "model-context-protocol-server" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/competlab/competlab-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "exa-labs-exa-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/competlab-competlab-mcp-server" }, { "slug": "conan-io-conan-mcp", "name": "conan-io/conan-mcp", "vendor": "Various", "tagline": "Model Context Protocol server for Conan", "description": "A Model Context Protocol server that enables AI agents to interact with the Conan package manager for C/C++. It exposes Conan operations through a standardized interface for tool use.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Teams adding agentic automation to existing Conan-based C/C++ projects", "useCases": [ "Automate dependency resolution and package fetching in CI/CD pipelines", "Query Conan Center for available package versions and recipes", "Trigger package builds and exports via agent-driven workflows" ], "pros": [ "Leverages the mature Conan ecosystem for C/C++ dependency management", "Simple Python implementation with minimal setup", "Follows the Model Context Protocol, enabling integration with compatible agents" ], "cons": [ "Very low community traction with only 8 GitHub stars", "Limited to Conan-specific operations, not a general build tool", "Requires an MCP-compatible host to function" ], "tags": [], "featured": false, "tier": "curated", "stars": 8, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-02-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/conan-io/conan-mcp", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/conan-io-conan-mcp" }, { "slug": "conarti-mattermost-mcp", "name": "conarti/mattermost-mcp", "vendor": "Various", "tagline": "Mattermost MCP server to enable Claude to interact with Mattermost Workspaces", "description": "An open-source MCP server that enables Claude to interact with Mattermost workspaces. Built in TypeScript, it provides a bridge for Claude AI to read and send messages within Mattermost channels.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude who need to connect it to Mattermost workspaces", "useCases": [ "Let Claude read messages from Mattermost channels", "Send automated messages to Mattermost workspaces via Claude", "Integrate Claude with Mattermost for workflow automation" ], "pros": [ "Open-source and free to use", "Modern TypeScript codebase", "Lightweight MCP server for easy integration" ], "cons": [ "Low community adoption (2 GitHub stars)", "Requires manual setup of MCP environment", "Limited documentation and examples due to early stage" ], "tags": [ "chat", "claude", "mattermost", "mcp", "mcp-server", "messaging", "model-context-protocol", "team-communication" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "lastUpdated": "2025-12-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/conarti/mattermost-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "sooperset-mcp-atlassian", "lharries-whatsapp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/conarti-mattermost-mcp" }, { "slug": "conechoai-openai-websearch-mcp", "name": "ConechoAI/openai-websearch-mcp", "vendor": "Various", "tagline": "openai websearch tool as mcp server", "description": "An MCP server that wraps OpenAI's web search functionality, enabling AI agents to perform web queries through the Model Context Protocol. Built in Python, it acts as a bridge between MCP-compatible clients and OpenAI's web search API.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers creating MCP-compatible AI agents that need web search capabilities", "useCases": [ "Integrating web search into MCP-based AI agents", "Building search-enhanced chat or assistant tools via MCP", "Prototyping AI workflows that require real-time web data" ], "pros": [ "Leverages OpenAI's reliable web search API", "Simple MCP interface for easy integration with compatible clients", "Python implementation is straightforward to deploy and extend" ], "cons": [ "Requires a valid OpenAI API key with web search access", "Dependent on OpenAI's API availability and pricing", "Limited to the scope and quality of OpenAI's web search results" ], "tags": [], "featured": false, "tier": "curated", "stars": 89, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-09-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/ConechoAI/openai-websearch-mcp/", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "exa-labs-exa-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/conechoai-openai-websearch-mcp" }, { "slug": "configcat-mcp-server", "name": "ConfigCat/mcp-server", "vendor": "Various", "tagline": "Official ConfigCat Model Context Protocol (MCP) Server", "description": "ConfigCat/mcp-server is an official Model Context Protocol server that exposes ConfigCat feature flags and configuration management through a standardized MCP interface. It allows AI agents to read and manage feature flags, targeting rules, and configuration values using the ConfigCat API.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using ConfigCat who want to manage feature flags through AI assistants or MCP-based tools", "useCases": [ "Enable AI agents to check feature flag status during development or debugging", "Automate feature flag updates and targeting rule changes via natural language commands", "Integrate ConfigCat configuration management into MCP-compatible AI workflows" ], "pros": [ "Official integration ensures reliable API compatibility with ConfigCat", "TypeScript implementation offers type safety and easy integration for Node.js projects", "Low star count suggests early stage but focused functionality" ], "cons": [ "Limited to ConfigCat ecosystem, not useful for other feature management platforms", "Small community and few contributors may mean slower updates or bug fixes", "Requires existing ConfigCat account and API key setup" ], "tags": [ "configcat", "feature-flags", "feature-toggle", "mcp-server", "modelcontextprotocol" ], "featured": false, "tier": "curated", "stars": 16, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/configcat/mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp", "executeautomation-playwright-mcp-server", "sooperset-mcp-atlassian" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/configcat-mcp-server" }, { "slug": "confluentinc-mcp-confluent", "name": "confluentinc/mcp-confluent", "vendor": "Various", "tagline": "🐍 ☁️ - Confluent integration to interact with Confluent Kafka and Confluent Cloud REST APIs.", "description": "A Model Context Protocol server that enables AI agents to interact with Confluent Kafka and Confluent Cloud through REST APIs. It provides tooling for managing topics, consumer groups, and other cluster resources directly from MCP-compatible assistants or agents.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to interact with Confluent Kafka clusters", "useCases": [ "Managing Kafka topics and configurations", "Inspecting consumer groups and offsets", "Integrating AI agent workflows with event streaming" ], "pros": [ "Official integration from Confluent, ensuring accurate API coverage", "Written in TypeScript, making it easy to extend or embed", "Follows the MCP standard for plug-and-play with supporting AI tools" ], "cons": [ "Requires a Confluent Cloud account or a self-hosted Kafka REST proxy", "Limited to operations exposed by the Confluent REST APIs", "MCP ecosystem is still evolving, so compatibility may shift" ], "tags": [], "featured": false, "tier": "curated", "stars": 157, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/confluentinc/mcp-confluent", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/confluentinc-mcp-confluent" }, { "slug": "connectry-io-connectrylab-architect-cert-mcp", "name": "Connectry-io/connectrylab-architect-cert-mcp", "vendor": "Various", "tagline": "Free certification prep for the Claude Certified Architect exam. 390 questions. Spaced repetition. Zero sycophancy.", "description": "A free study tool for the Claude Certified Architect exam offering 390 multiple-choice questions. It uses spaced repetition to optimize retention and explicitly avoids sycophantic feedback on wrong answers.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers studying for the Claude Certified Architect exam who prefer unfiltered practice questions.", "useCases": [ "Preparing for the Claude Certified Architect certification with structured question sets", "Reviewing architect-level concepts through spaced-repetition flashcard-style practice", "Testing knowledge independently without biased or overly positive corrections" ], "pros": [ "Completely free with a large question bank of 390 items", "Spaced repetition aids long-term memory retention", "Deliberately avoids sycophancy, providing honest feedback" ], "cons": [ "Only 22 GitHub stars suggests limited community validation or updates", "Focused exclusively on one certification exam, narrow applicability", "No built-in progress tracking or analytics visible in repository" ], "tags": [ "anthropic", "architect", "certification", "claude", "claude-code", "exam-prep", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 22, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/Connectry-io/connectrylab-architect-cert-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [ "claude-code" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/connectry-io-connectrylab-architect-cert-mcp" }, { "slug": "connerlambden-bgpt-mcp", "name": "connerlambden/bgpt-mcp", "vendor": "Various", "tagline": "Scientific paper search API for AI agents: REST, Python, OpenAPI, and MCP with structured full-text evidence.", "description": "Provides a scientific paper search API designed for AI agents. Supports REST, Python, OpenAPI, and the Model Context Protocol (MCP) to deliver structured full-text evidence from papers.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need structured access to scientific papers", "useCases": [ "Searching scientific literature programmatically", "Integrating paper evidence into AI agent workflows", "Building research tools with structured citation data" ], "pros": [ "Multiple interface options (REST, Python, OpenAPI, MCP)", "Returns structured full-text evidence", "Open source with JavaScript implementation" ], "cons": [ "Small community (24 stars) may indicate limited adoption", "Documentation and stability may be limited", "Requires self-hosting or API key setup" ], "tags": [ "ai", "ai-agents", "arxiv", "bioinformatics", "evidence-synthesis", "literature-review", "llm", "mcp" ], "featured": false, "tier": "curated", "stars": 24, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/connerlambden/bgpt-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "browsermcp-mcp", "vectorize-io-hindsight" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/connerlambden-bgpt-mcp" }, { "slug": "connerlambden-helium-mcp", "name": "connerlambden/helium-mcp", "vendor": "Various", "tagline": "MCP server for real-time news with bias scoring, live stock/ETF/crypto data, AI options pricing, balanced news synthesis, and meme search. 10 tools, 5000+ sources, free tier.", "description": "Helium MCP is a server that aggregates real-time news from over 5000 sources, scoring each article for political bias and offering a balanced synthesis. It also provides live stock, ETF, and crypto data, AI-based options pricing, and a meme search tool. The server exposes 10 tools and includes a free tier.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a lightweight MCP plugin for real-time financial news with bias analysis and market data", "useCases": [ "Fetching and filtering financial news by bias score", "Querying live prices for stocks, ETFs, and cryptocurrencies", "Building a dashboard that combines market data with synthesized news summaries" ], "pros": [ "Wide source coverage with 5000+ news sources", "Bias scoring and balanced synthesis help reduce echo chambers", "Free tier available for testing and small-scale use" ], "cons": [ "Very early project (6 GitHub stars) with limited community support", "Requires an MCP client to integrate, adding a dependency", "Only available as a JavaScript/Node.js server" ], "tags": [ "ai", "bias-detection", "claude", "copilot", "crypto", "cursor", "financial-data", "machine-learning" ], "featured": false, "tier": "curated", "stars": 6, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/connerlambden/helium-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/connerlambden-helium-mcp" }, { "slug": "conorbronsdon-gws-mcp-server", "name": "conorbronsdon/gws-mcp-server", "vendor": "Various", "tagline": "MCP server that exposes Google Workspace CLI (gws) as Model Context Protocol tools", "description": "An MCP server that wraps the Google Workspace CLI (gws) as Model Context Protocol tools, enabling AI agents to interact with Google Workspace services programmatically. Built in TypeScript, it translates MCP tool calls into gws commands for tasks like managing email, calendar, and contacts.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based AI agents that need basic Google Workspace automation", "useCases": [ "Automating email search and send operations via AI assistants", "Managing calendar events and contacts through natural language prompts", "Integrating Google Workspace workflows into MCP-compatible agent pipelines" ], "pros": [ "Leverages existing gws CLI for reliable Google Workspace access", "Simple MCP interface reduces boilerplate for agent integration", "TypeScript codebase is approachable for most developers" ], "cons": [ "Requires separate gws CLI installation and authentication setup", "Limited to operations exposed by gws, not full Google API coverage", "Small community and low star count may mean less support" ], "tags": [ "claude-code", "developer-tools", "gmail", "google-calendar", "google-drive", "google-workspace", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/conorbronsdon/gws-mcp-server", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/conorbronsdon-gws-mcp-server" }, { "slug": "conorbronsdon-substack-mcp", "name": "conorbronsdon/substack-mcp", "vendor": "Various", "tagline": "MCP server for Substack — read posts, manage drafts. No publish or delete by design.", "description": "An MCP server that lets AI agents read Substack posts and manage drafts. It uses TypeScript and the Substack API to fetch content and handle draft operations, but deliberately omits publish and delete functions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to read Substack content or manage drafts programmatically without publishing", "useCases": [ "Retrieve and summarize published Substack posts", "Create and edit draft posts via an AI assistant", "Organize or review draft content before publication" ], "pros": [ "Lightweight TypeScript implementation with clear scope", "Useful for automating draft management workflows", "Explicitly avoids destructive actions like delete or publish" ], "cons": [ "Cannot publish or delete posts, limiting full lifecycle automation", "Depends on Substack's API which may change without notice", "Small community with only 5 GitHub stars" ], "tags": [ "claude-code", "content-creation", "developer-tools", "mcp", "mcp-server", "substack" ], "featured": false, "tier": "curated", "stars": 5, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/conorbronsdon/substack-mcp", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/conorbronsdon-substack-mcp" }, { "slug": "constantineb6-comfy-pilot", "name": "ConstantineB6/comfy-pilot", "vendor": "Various", "tagline": "MCP server + embedded terminal that lets Claude Code see and edit your ComfyUI workflows", "description": "MCP server and embedded terminal that gives Claude Code visibility into and editing capabilities for ComfyUI workflows. It works by enabling Claude to directly view node graphs, modify connections, and execute workflow changes through terminal commands.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to use Claude Code to automate or modify ComfyUI workflows programmatically", "useCases": [ "View and inspect ComfyUI workflow structure from within Claude Code", "Edit nodes, connections, and parameters using natural language prompts", "Automate workflow adjustments by combining Claude's reasoning with ComfyUI graph operations" ], "pros": [ "Gives Claude Code direct access to ComfyUI workflows for both reading and editing", "Enables natural language control over complex node graphs without manual clicking", "Open source with community traction (197 stars)" ], "cons": [ "Requires Claude Code to function; not a standalone tool", "Editing scope is limited by what the MCP protocol and node API expose", "Python environment setup and dependency management may be needed" ], "tags": [ "ai", "claude", "claude-code", "comfyui", "comfyui-custom-node", "generative-ai", "image-generation", "mcp" ], "featured": false, "tier": "curated", "stars": 197, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-02-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/ConstantineB6/comfy-pilot", "relations": { "works_in": [ "claude-code" ], "uses": [ "comfyui" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/constantineb6-comfy-pilot" }, { "slug": "contentrain-ai", "name": "Contentrain/ai", "vendor": "Various", "tagline": "Repo-native content governance for AI agents. Extract, review, and deliver UI text, docs, and structured content from Git.", "description": "Contentrain/ai provides repo-native content governance for AI agents. It extracts, reviews, and delivers UI text, documentation, and structured content directly from Git repositories. Built in TypeScript, it integrates with existing Git workflows to manage content used by AI agents.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers managing content for AI agents within Git-based projects", "useCases": [ "Extracting UI text from Git repos for AI agent training", "Reviewing documentation content changes before delivery", "Delivering structured content from Git to AI agent pipelines" ], "pros": [ "Leverages existing Git workflows for content management", "TypeScript codebase for easy integration", "Open source with community contributions" ], "cons": [ "Limited to content stored in Git repositories", "Requires familiarity with Git and TypeScript", "May not handle non-text content types well" ], "tags": [ "ai-agents", "claude-code", "content-governance", "contentrain", "cursor", "developer-tools", "git", "i18n" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/Contentrain/ai", "relations": { "works_in": [ "claude-code", "cursor", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/contentrain-ai" }, { "slug": "context-rot-detection", "name": "context-rot-detection", "vendor": "Various", "tagline": "Context Rot Detection & Healing MCP Service — gives AI agents self-awareness about their cognitive state", "description": "A service that detects degradation in an AI agent's context and attempts to restore it. It monitors the agent's cognitive state and provides self-awareness about context quality. The tool implements the Model Context Protocol for integration.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to maintain long-term context coherence", "useCases": [ "Detecting when an AI agent loses track of conversation history", "Restoring broken or stale context in agent interactions", "Giving AI agents awareness of their own cognitive limitations" ], "pros": [ "Provides a mechanism for context self-monitoring", "Helps maintain coherence in long conversations", "Lightweight TypeScript implementation" ], "cons": [ "Limited to 10 GitHub stars indicates early stage", "May require significant integration effort for existing agents", "Effectiveness depends on the quality of healing logic" ], "tags": [], "featured": false, "tier": "curated", "stars": 10, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-02-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/milos-product-maker/context-rot-detection", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/context-rot-detection" }, { "slug": "contextpulse-contextpulse", "name": "ContextPulse/contextpulse", "vendor": "Various", "tagline": "Always-on context for AI agents: screen capture, OCR, voice, MCP server. Local-first, AGPL-3.0.", "description": "ContextPulse is a local-first tool that provides always-on context for AI agents via screen capture, OCR, and voice input. It runs as an MCP server and is written in Python under the AGPL-3.0 license.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building privacy-focused local AI agents that require continuous desktop context", "useCases": [ "Feeding real-time screen content to an AI coding assistant", "Automating desktop workflows with OCR-triggered actions", "Enabling voice-commanded local AI agents with visual context" ], "pros": [ "Local-first operation keeps data on device for privacy", "Multi-modal input (screen, OCR, voice) provides rich context", "Open source under AGPL allows modification and audit" ], "cons": [ "AGPL-3.0 license may be restrictive for commercial use", "Zero stars on GitHub indicates early-stage reliability", "Python implementation may have latency for real-time screen capture" ], "tags": [ "agpl", "ai-agents", "claude", "local-first", "macos", "mcp", "ocr", "python" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "AGPL-3.0", "lastUpdated": "2026-05-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/ContextPulse/contextpulse", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [ "mediar-ai-screenpipe" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/contextpulse-contextpulse" }, { "slug": "contextstream-mcp-server", "name": "contextstream/mcp-server", "vendor": "Various", "tagline": "📇 ☁️ 🍎 🪟 🐧 - Universal persistent memory for AI coding tools. Semantic code search, knowledge graphs, impact analysis, decision tracking, and 60+ MCP tools. Works across Cursor", "description": "A universal persistent memory server for AI coding tools that provides semantic code search, knowledge graphs, impact analysis, and decision tracking. It exposes over 60 MCP tools and integrates with editors like Cursor.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using AI coding assistants who need long-term project memory and semantic code understanding", "useCases": [ "Search code semantically across large codebases", "Track design decisions and their rationale", "Analyze impact of changes before committing" ], "pros": [ "Offers a broad set of 60+ MCP tools for diverse tasks", "Persistent memory retains context across sessions", "Works with multiple platforms (macOS, Windows, Linux)" ], "cons": [ "Requires MCP-compatible clients to use", "Setup and configuration may be non-trivial for beginners", "Dependency on external server for persistent memory" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://www.npmjs.com/package/@contextstream/mcp-server", "relations": { "works_in": [ "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "upstash-context7", "topoteretes-cognee" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/contextstream-mcp-server" }, { "slug": "conversation-handoff-mcp", "name": "conversation-handoff-mcp", "vendor": "Various", "tagline": "MCP server for transferring conversation context between AI chats and projects", "description": "An MCP server that transfers conversation context between AI chat sessions and projects. It uses the Model Context Protocol to serialize and share chat history, enabling continuity across different AI interactions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building multi-session AI workflows that need to preserve conversation context across different tools or projects.", "useCases": [ "Persisting chat context across multiple AI sessions", "Syncing conversation state between collaborative AI tools", "Transferring project-specific context from one chat to another" ], "pros": [ "Lightweight TypeScript implementation with clear MCP integration", "Enables context continuity without manual copy-paste", "Open source with a permissive license for customization" ], "cons": [ "Low star count indicates limited community adoption and testing", "Requires MCP-compatible clients or adapters to function", "May not handle very large conversation histories efficiently" ], "tags": [ "ai", "mcp", "mcp-client", "mcp-server", "typescript" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/trust-delta/conversation-handoff-mcp", "relations": { "works_in": [ "claude-code", "cline", "cursor" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/conversation-handoff-mcp" }, { "slug": "conviction-fm-conviction-mcp", "name": "conviction-fm/conviction-mcp", "vendor": "Various", "tagline": "Strategy competition for AI agents. MCP server + CLI for conviction.fm", "description": "A strategy competition platform for AI agents. It provides an MCP server and CLI tool for conviction.fm, enabling agents to compete in structured strategy games.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building or testing AI agents in competitive strategy environments", "useCases": [ "Running AI agent strategy competitions", "Integrating agent decision-making with MCP protocol", "Testing and benchmarking agent strategic reasoning" ], "pros": [ "Novel approach to evaluating AI agent strategies", "MCP server enables easy integration with other tools", "CLI provides straightforward command-line access" ], "cons": [ "No stars or community traction yet", "Limited documentation and examples available", "Niche use case may limit broader applicability" ], "tags": [ "ai-agent", "autonomous-agent", "cli", "mcp", "mcp-server", "model-context-protocol", "solana", "strategy" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/abcxz/conviction-fm", "relations": { "works_in": [], "uses": [], "built_with": [ "awslabs-mcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/conviction-fm-conviction-mcp" }, { "slug": "copperline-labs-rendex-mcp", "name": "copperline-labs/rendex-mcp", "vendor": "Various", "tagline": "MCP server for Rendex — capture screenshots, generate PDFs, and render HTML to images of any webpage via AI agents. Claude, Cursor, Windsurf compatible.", "description": "An MCP server that lets AI agents capture screenshots, generate PDFs, and render HTML to images from any webpage. It works with Claude, Cursor, and Windsurf by exposing Rendex capabilities through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need visual webpage capture or PDF generation", "useCases": [ "Capture full-page screenshots of webpages via AI agent commands", "Generate PDFs from live URLs or HTML content programmatically", "Render HTML to image for visual verification in agent workflows" ], "pros": [ "Works with multiple popular AI agent platforms out of the box", "Simple MCP integration for existing agent setups", "Handles both URL-based and raw HTML input" ], "cons": [ "Very early stage with only 2 GitHub stars and limited community adoption", "No documented error handling or rate limiting for production use", "Dependency on Rendex service availability and performance" ], "tags": [ "ai-agent", "api", "claude", "cloudflare-workers", "mcp", "mcp-server", "model-context-protocol", "rendex" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/copperline-labs/rendex-mcp", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "browsermcp-mcp", "executeautomation-playwright-mcp-server", "agent-infra-mcp-server-browser" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/copperline-labs-rendex-mcp" }, { "slug": "corbym-backlog-mcp", "name": "corbym/backlog-mcp", "vendor": "Various", "tagline": "corbym/backlog-mcp — indexed from awesome-mcp-servers-punkpeye", "description": "A Go-based MCP server that integrates with Backlog, a project management tool. It provides tools for managing issues, projects, and tasks through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers already using Backlog who want to automate tasks via MCP-compatible AI tools", "useCases": [ "Create and update Backlog issues from an AI assistant", "Query project status and task lists programmatically", "Automate backlog management workflows" ], "pros": [ "Lightweight Go implementation with minimal dependencies", "Direct integration with Backlog's API for real-time data", "Open source with a permissive license" ], "cons": [ "Very low community adoption (2 stars) suggests limited testing", "No documentation or usage examples provided", "May lack support for advanced Backlog features" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "Go" ], "license": "Unlicense", "lastUpdated": "2026-05-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/corbym/backlog-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "sooperset-mcp-atlassian", "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/corbym-backlog-mcp" }, { "slug": "corebasehq-coremcp", "name": "corebasehq/coremcp", "vendor": "Various", "tagline": "CoreMCP: Connect Legacy Databases to AI Agents via Model Context Protocol. Open-source bridge for LLM data analysis.", "description": "CoreMCP is an open-source bridge written in Go that connects legacy databases to AI agents using the Model Context Protocol. It enables LLMs to perform data analysis on existing database systems without migration. The tool acts as a middleware translating database queries into MCP-compatible interactions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing to connect legacy databases to AI agents via MCP", "useCases": [ "Query legacy databases from AI agents via MCP", "Enable LLM-driven data analysis on existing SQL databases", "Integrate older database systems into modern AI workflows" ], "pros": [ "Open-source and free to use", "Written in Go, offering good performance and concurrency", "Provides a standardized MCP interface for database access" ], "cons": [ "Very early stage with only 3 GitHub stars, limited community and support", "Requires understanding of both MCP and legacy database specifics", "May lack comprehensive documentation and production readiness" ], "tags": [ "database-bridge", "golang", "legacy-systems", "llm-ops", "mcp", "mcp-server", "mssql" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "Go" ], "license": "Apache-2.0", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/corebasehq/coremcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/corebasehq-coremcp" }, { "slug": "coreyhines-opnsense-mcp", "name": "coreyhines/opnsense-mcp", "vendor": "Various", "tagline": "coreyhines/opnsense-mcp — indexed from awesome-mcp-servers-punkpeye", "description": "A Model Context Protocol server for OPNsense, the open-source firewall platform. It enables AI assistants to interact with OPNsense through standardized MCP queries. Built in Python, it provides an interface for programmatic control of OPNsense features.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers automating OPNsense firewall management through AI interfaces", "useCases": [ "Managing firewall rules via natural language commands", "Monitoring network traffic and security events", "Automating OPNsense configuration tasks" ], "pros": [ "Bridges AI assistants with OPNsense for automation", "Straightforward Python implementation with MCP standard", "Open source and extensible" ], "cons": [ "Low star count suggests limited adoption or early stage", "Requires OPNsense instance and MCP-compatible client", "Documentation and community support may be sparse" ], "tags": [], "featured": false, "tier": "curated", "stars": 4, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/coreyhines/opnsense-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/coreyhines-opnsense-mcp" }, { "slug": "costajohnt-oss-autopilot", "name": "costajohnt/oss-autopilot", "vendor": "Various", "tagline": "Claude Code plugin — AI-powered autopilot for managing open source contributions. Track PRs, respond to maintainers, discover issues, maintain velocity.", "description": "A plugin for Claude Code that automates open source contribution management. It tracks pull requests, responds to maintainers, discovers issues, and helps maintain contribution velocity.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Open source contributors using Claude Code who want to streamline their workflow", "useCases": [ "Track pull requests across multiple repositories", "Respond to maintainer feedback automatically", "Discover new issues to work on" ], "pros": [ "Integrates directly with Claude Code for seamless workflow", "Reduces manual overhead for routine open source tasks", "Helps maintain consistent contribution pace" ], "cons": [ "Requires Claude Code, a separate paid tool", "Automated responses may lack nuance for sensitive maintainer communication", "Small user base (9 stars) suggests limited community support" ], "tags": [ "ai-agent", "anthropic", "claude-code", "claude-code-plugin", "cli", "contribution-tracker", "developer-tools", "github" ], "featured": false, "tier": "curated", "stars": 9, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/costajohnt/oss-autopilot", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/costajohnt-oss-autopilot" }, { "slug": "couchbase-ecosystem-mcp-server-couchbase", "name": "Couchbase-Ecosystem/mcp-server-couchbase", "vendor": "Various", "tagline": "MCP Server to interact with data in Couchbase Clusters", "description": "This MCP server enables AI agents to query and manipulate data in Couchbase clusters via the Model Context Protocol. It exposes Couchbase operations as tools that an LLM can call, using Python and the Couchbase SDK.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to read or write data in Couchbase clusters", "useCases": [ "Query documents in a Couchbase bucket using N1QL from an AI agent", "Insert or update JSON documents in a Couchbase cluster via natural language", "Retrieve and analyze data from Couchbase as part of a multi-step AI workflow" ], "pros": [ "Direct integration with Couchbase's document and SQL-like query capabilities", "Open source with a permissive license and active community", "Simple setup for developers already using Couchbase" ], "cons": [ "Limited to Couchbase ecosystems, not useful for other databases", "Relatively low community adoption with only 32 stars", "Requires a running Couchbase cluster and network access" ], "tags": [ "couchbase", "hacktoberfest", "mcp" ], "featured": false, "tier": "curated", "stars": 32, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/Couchbase-Ecosystem/mcp-server-couchbase", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb", "bram2w-baserow", "haris-musa-excel-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/couchbase-ecosystem-mcp-server-couchbase" }, { "slug": "cqfn-aibolit-mcp-server", "name": "cqfn/aibolit-mcp-server", "vendor": "Various", "tagline": "MCP Server for Aibolit Java Static Analyzer: Helping Your AI Agent Identify Hotspots for Refactoring", "description": "A bridge that connects AI agents via the Model Context Protocol to the Aibolit Java static analyzer, enabling agents to identify code hotspots for refactoring. It runs as a standalone server exposing Aibolit's analysis results as MCP tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Java developers who want to use AI coding agents to detect refactoring hotspots", "useCases": [ "Identify refactoring opportunities in legacy Java code via an AI assistant", "Automate code review by feeding static analysis results to a coding agent", "Integrate Aibolit hotspot detection into an LLM-powered development workflow" ], "pros": [ "Leverages the well-established Aibolit static analysis engine", "Open source with a TypeScript implementation for straightforward integration", "Enables AI agents to suggest targeted refactorings without manual scanning" ], "cons": [ "Relatively low community adoption (26 stars on GitHub)", "Only supports Java code and requires the Aibolit tool to be installed separately", "Requires running an MCP server and configuring it with an AI client" ], "tags": [ "ai", "mcp-server", "refactoring" ], "featured": false, "tier": "curated", "stars": 26, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/cqfn/aibolit-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "lauriewired-ghidramcp", "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/cqfn-aibolit-mcp-server" }, { "slug": "cqtrinv-trinvmcp", "name": "cqtrinv/trinvmcp", "vendor": "Various", "tagline": "a MCP server for TRINV", "description": "A Model Context Protocol (MCP) server for TRINV, written in JavaScript. It enables MCP-compatible clients (e.g., AI assistants) to interact with TRINV data structures. The server exposes TRINV resources and tools through the MCP standard interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with MCP who need to connect AI tools to TRINV data sources", "useCases": [ "Query TRINV data from MCP-compatible AI assistants", "Expose TRINV operations as callable tools for agents", "Integrate TRINV workflows into MCP-based toolchains" ], "pros": [ "Lightweight JavaScript implementation, easy to deploy", "Follows the MCP standard for interoperability", "Open source with permissive licensing" ], "cons": [ "Very limited community adoption (1 star), likely early stage", "Minimal or missing documentation for setup and usage", "Unclear support for TRINV schema versions or edge cases" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2025-09-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/cqtrinv/trinvmcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/cqtrinv-trinvmcp" }, { "slug": "cr7258-elasticsearch-mcp-server", "name": "cr7258/elasticsearch-mcp-server", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server implementation that provides Elasticsearch and OpenSearch interaction.", "description": "An MCP server that lets AI agents query and manage Elasticsearch and OpenSearch clusters. It exposes cluster operations, index management, document CRUD, and search via the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to add Elasticsearch or OpenSearch query and management capabilities to MCP-based AI agents.", "useCases": [ "Run natural language queries against Elasticsearch indices", "Automate index creation, mapping updates, and document indexing", "Monitor cluster health and manage snapshots from an AI assistant" ], "pros": [ "Covers a broad range of Elasticsearch and OpenSearch operations", "Simple MCP integration for existing AI agent workflows", "Actively maintained with 285 GitHub stars" ], "cons": [ "Requires running a separate MCP server process", "Limited to Python ecosystem and MCP-compatible clients", "No built-in authentication or authorization layer" ], "tags": [], "featured": false, "tier": "curated", "stars": 285, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-05-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/cr7258/elasticsearch-mcp-server", "relations": { "works_in": [ "cline", "cursor", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/cr7258-elasticsearch-mcp-server" }, { "slug": "crawleo-crawleo-mcp", "name": "Crawleo/Crawleo-MCP", "vendor": "Various", "tagline": "Crawleo MCP Server - Real-Time Web Knowledge for AI Crawleo's Model Context Protocol (MCP) server enables AI assistants like Claude to access real-time web data directly through na", "description": "Crawleo MCP Server implements the Model Context Protocol to let AI assistants like Claude fetch live web data. It runs as a server that natively integrates with tool-capable AI models, providing direct access to current online information.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need live web data access", "useCases": [ "Enabling AI assistants to retrieve current web information", "Integrating real-time data into AI workflows", "Building tools that require up-to-date web context" ], "pros": [ "Native MCP integration simplifies tool use for AI assistants", "Supports real-time web data retrieval", "JavaScript-based, easy to deploy and extend" ], "cons": [ "Limited community adoption (10 GitHub stars) indicates early stage", "Relies on external web dependencies for data access", "Documentation and examples may be sparse" ], "tags": [], "featured": false, "tier": "curated", "stars": 10, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2025-12-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/Crawleo/Crawleo-MCP", "relations": { "works_in": [ "anthropic-computer-use", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "agent-infra-mcp-server-browser" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/crawleo-crawleo-mcp" }, { "slug": "cryptobriefing-gloria-mcp", "name": "cryptobriefing/gloria-mcp", "vendor": "Various", "tagline": "MCP server for Gloria AI — real-time curated crypto news with sentiment, recaps, and search for AI agents", "description": "A Model Context Protocol server that provides AI agents with real-time curated crypto news, sentiment analysis, recaps, and search capabilities. It connects to the Gloria AI API to fetch structured news data for agentic workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need curated crypto news and sentiment data", "useCases": [ "Integrate real-time crypto news and sentiment into trading bots or analysis agents", "Search and retrieve curated crypto news summaries for automated reporting", "Feed sentiment data into decision-making pipelines for crypto market analysis" ], "pros": [ "Provides structured, real-time crypto news data directly consumable by AI agents", "Includes sentiment analysis and recaps for quick market insight", "Simple MCP integration for Python-based agent frameworks" ], "cons": [ "Requires external Gloria AI API access and credentials", "Limited to crypto news domain only", "No built-in authentication or rate limiting for the MCP server itself" ], "tags": [ "ai", "crypto", "mcp", "mcp-server", "model-context-protocol", "news", "x402" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/cryptobriefing/gloria-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "exa-labs-exa-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/cryptobriefing-gloria-mcp" }, { "slug": "creatorrmode-lead-avp-sdk", "name": "creatorrmode-lead/avp-sdk", "vendor": "Various", "tagline": "Action Control for autonomous agents. Check posture. Gate risky actions. Prove execution. Fits your existing agent stack.", "description": "Action Control for autonomous agents. It checks posture, gates risky actions, and proves execution. The SDK integrates into existing Python-based agent stacks.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building autonomous agents who need a simple action control layer for safety and auditability.", "useCases": [ "Enforce safety policies on agent actions before execution", "Audit and log agent behavior for compliance", "Gate high-risk operations in autonomous workflows" ], "pros": [ "Lightweight Python SDK that slots into existing stacks", "Provides explicit action gating and audit trails", "Open source with permissive licensing" ], "cons": [ "Very early stage with only 11 GitHub stars", "Limited community and documentation", "No evidence of production use or third-party integrations" ], "tags": [ "agent-control", "ai-agents", "controlled-actions", "did", "eigentrust", "mcp", "python", "python-sdk" ], "featured": false, "tier": "curated", "stars": 11, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/creatorrmode-lead/avp-sdk", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "executeautomation-playwright-mcp-server", "browsermcp-mcp", "pydantic-pydantic-ai-mcp-run-python" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/creatorrmode-lead-avp-sdk" }, { "slug": "cryptorugmunch-rug-munch-mcp", "name": "CryptoRugMunch/rug-munch-mcp", "vendor": "Various", "tagline": "MCP server for Marcus Rug Intel — 19 tools for crypto token risk analysis, rug pull detection, and AI forensics. Works with Claude Desktop, Cursor, Windsurf.", "description": "This MCP server provides 19 tools for crypto token risk analysis, rug pull detection, and AI forensics. It integrates with Claude Desktop, Cursor, and Windsurf to enable AI-assisted security checks in those environments.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and analysts building AI-assisted crypto token risk assessment into their development environments", "useCases": [ "Analyzing token contract risk for potential rug pulls", "Performing AI-assisted forensics on suspicious crypto tokens", "Integrating crypto risk checks into AI coding assistant workflows" ], "pros": [ "Offers a wide set of 19 specialized tools for crypto analysis", "Works directly with popular AI coding assistants like Claude Desktop and Cursor", "Open source and written in Python for easy customization" ], "cons": [ "No community traction yet with zero stars on GitHub", "Requires setup of the MCP server and dependency on Marcus Rug Intel", "Limited to the tools and data sources provided by the rug-munch system" ], "tags": [ "ai-agent", "claude-desktop", "crypto", "cursor", "defi", "ethereum", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/CryptoRugMunch/rug-munch-mcp", "relations": { "works_in": [ "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/cryptorugmunch-rug-munch-mcp" }, { "slug": "cryptosquanch-legends-mcp", "name": "cryptosquanch/legends-mcp", "vendor": "Various", "tagline": "Chat with legendary founders & investors via MCP. No API key required!", "description": "An MCP server that lets developers chat with simulated versions of legendary founders and investors. Built in TypeScript, it requires no API key to run, making it easy to experiment with locally.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers curious about MCP who want a quick, free demo with a fun twist", "useCases": [ "Simulate conversations with iconic startup figures for inspiration", "Test MCP client integrations with a lightweight, no-auth server", "Explore conversational patterns of famous investors and founders" ], "pros": [ "No API key or external service needed, works out of the box", "Simple TypeScript codebase, easy to modify or extend", "Novel concept for learning from historical business figures" ], "cons": [ "Very few GitHub stars (5) indicates minimal community or testing", "Simulated personalities may be shallow or inaccurate", "Limited documentation and support due to early stage" ], "tags": [], "featured": false, "tier": "curated", "stars": 5, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-12-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/cryptosquanch/legends-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "idosal-git-mcp", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/cryptosquanch-legends-mcp" }, { "slug": "crystaldba-postgres-mcp", "name": "crystaldba/postgres-mcp", "vendor": "Various", "tagline": "Postgres MCP Pro provides configurable read/write access and performance analysis for you and your AI agents.", "description": "crystaldba/postgres-mcp is a Model Context Protocol server that provides configurable read and write access to PostgreSQL databases for AI agents. It also includes performance analysis capabilities, allowing agents to monitor and optimize query execution. Built in Python, it integrates with any MCP-compatible client.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to give AI agents structured and safe access to PostgreSQL databases", "useCases": [ "Give an AI agent direct SQL query access to a Postgres database", "Automate database performance monitoring and slow query analysis", "Allow natural language database interaction through an MCP client like Claude" ], "pros": [ "Configurable read/write access levels give granular control", "Built-in performance analysis helps identify slow queries", "Open source with strong community adoption (over 2800 stars)" ], "cons": [ "Requires an MCP-compatible client to interact with the database", "Write access carries risk of accidental data modification or deletion", "Setup involves configuring a Python server and credentials" ], "tags": [], "featured": false, "tier": "curated", "stars": 2831, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-01-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/crystaldba/postgres-mcp", "relations": { "works_in": [ "cursor", "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/crystaldba-postgres-mcp" }, { "slug": "cscsoftware-aidex", "name": "CSCSoftware/AiDex", "vendor": "Various", "tagline": "MCP Server for persistent code indexing. Gives AI assistants (Claude, Gemini, Copilot, Cursor) instant access to your codebase. 50x less context than grep.", "description": "AiDex is an MCP server that indexes a codebase persistently, allowing AI assistants like Claude, Gemini, Copilot, and Cursor to query it with minimal context. It claims to use 50x less context than grep by pre-indexing code structure and content.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using AI coding assistants who work with large codebases and want to minimize context token usage.", "useCases": [ "Give an AI assistant instant access to a large codebase without loading the entire repo", "Reduce context usage when asking AI tools about code structure or function locations", "Enable persistent code search across sessions without re-scanning files" ], "pros": [ "Dramatically reduces context overhead compared to grep-based approaches", "Works with multiple popular AI assistants and IDEs", "Persistent indexing avoids repeated file scanning" ], "cons": [ "Low GitHub star count (34) suggests limited community adoption or maturity", "Requires setup and maintenance of an MCP server", "Indexing may become stale if codebase changes frequently without re-indexing" ], "tags": [ "ai-coding", "claude", "claude-code", "code-indexing", "code-search", "copilot", "cursor", "developer-tools" ], "featured": false, "tier": "curated", "stars": 34, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/CSCSoftware/AiDex", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/cscsoftware-aidex" }, { "slug": "cseguinlz-doubletick-cli", "name": "cseguinlz/doubletick-cli", "vendor": "Various", "tagline": "CLI and MCP server for DoubleTick email read tracking", "description": "A CLI and MCP server for interacting with DoubleTick email read tracking. It allows developers to query email open status, send tracking events, and integrate with MCP-compatible AI agents. Written in JavaScript, it provides a command-line interface for scripting and automation.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to programmatically track email opens via DoubleTick, especially in AI agent or automated workflow contexts", "useCases": [ "Automate email open tracking in CI/CD pipelines or scripts", "Integrate email read data into MCP-based AI agent workflows", "Fetch and analyze email read receipts programmatically" ], "pros": [ "Offers both CLI and MCP server for different integration patterns", "Written in JavaScript, easy to install via npm and use in Node.js projects", "Open source, allowing customization and inspection" ], "cons": [ "Zero GitHub stars suggests early stage or lack of community validation", "Depends on DoubleTick API, which may have its own pricing and rate limits", "Limited documentation or examples may hinder onboarding" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/cseguinlz/doubletick-cli", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/cseguinlz-doubletick-cli" }, { "slug": "csjoblom-musclesworked-mcp", "name": "csjoblom/musclesworked-mcp", "vendor": "Various", "tagline": "MCP server for exercise-to-muscle mapping. 856 exercises, 65 muscles, 14 muscle groups with primary/secondary/stabilizer activation data.", "description": "An MCP server that maps 856 exercises to 65 muscles across 14 muscle groups. Provides primary, secondary, and stabilizer activation data via the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building fitness or workout applications that need detailed exercise-to-muscle relationship data", "useCases": [ "Query muscle activation data for specific exercises in a fitness app backend", "Generate workout plans that target distinct muscle groups using structured exercise metadata", "Analyze exercise variety and muscle coverage for training programs" ], "pros": [ "Large exercise database with standardized muscle categorization", "Includes stabilizer activation details, not just primary and secondary", "Structured machine-readable format via MCP protocol" ], "cons": [ "Very low community adoption (2 GitHub stars) suggests limited use and testing", "Only provides muscle mapping, no exercise instructions, images, or equipment data", "Requires an MCP-compatible client to consume the server endpoints" ], "tags": [ "ai", "claude", "exercise", "fitness", "mcp", "mcp-server", "model-context-protocol", "muscle" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-02-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/csjoblom/musclesworked-mcp", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/csjoblom-musclesworked-mcp" }, { "slug": "cswkim-discogs-mcp-server", "name": "cswkim/discogs-mcp-server", "vendor": "Various", "tagline": "MCP Server for Discogs", "description": "A Model Context Protocol server that provides access to the Discogs music database API. Developers interact with Discogs data through MCP-enabled AI applications to query releases, artists, labels, and catalog metadata.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants or tools that need to look up music metadata from Discogs.", "useCases": [ "Query music release details from Discogs via natural language prompts", "Search artist discographies and track listings through an AI interface", "Retrieve label catalog data for collection management or research" ], "pros": [ "Simple MCP integration for AI coding assistants like Claude", "Accesses a large, community-curated music database", "TypeScript codebase for type safety and easy contributions" ], "cons": [ "Requires a Discogs API key which has rate limits for free usage", "Limited to read operations; no support for creating or updating Discogs data", "Dependence on the MCP ecosystem which is still maturing" ], "tags": [], "featured": false, "tier": "curated", "stars": 103, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/cswkim/discogs-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/cswkim-discogs-mcp-server" }, { "slug": "cturkieh-france-data-mcp", "name": "cturkieh/france-data-mcp", "vendor": "Various", "tagline": "MCP TypeScript qui croise 6 référentiels publics FR (INSEE SIRENE, FINESS, RPPS, Ameli, IGN, DINUM) — détecte les SIRET fermés invisibles côté DREES via pivot SIRET élargi + scorin", "description": "A TypeScript MCP server that cross-references six French public registries (INSEE SIRENE, FINESS, RPPS, Ameli, IGN, DINUM) to detect closed SIRET numbers invisible to DREES. It uses an expanded SIRET pivot and Dice address scoring, with built-in rate limiting, structured observability, and typed caching. Designed for use with Claude, Cursor, and any TypeScript application.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building French administrative data tools or AI assistants that need cross-referenced public registry data", "useCases": [ "Cross-reference French public registries to validate or enrich entity data", "Detect closed or inactive SIRET numbers that official sources miss", "Integrate French administrative data into AI assistants or developer tools" ], "pros": [ "Covers six major French public datasets in one unified interface", "Production-ready with rate limiting, observability, and typed caching", "Detects SIRET closures that are invisible to DREES" ], "cons": [ "Limited to French public registries, not useful outside France", "Requires TypeScript environment and MCP-compatible client", "Small community (1 star) with limited support or documentation" ], "tags": [ "ameli", "annuaire-sante", "civic-tech", "data-gouv", "dinum", "finess", "france", "geocoding" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/cturkieh/france-data-mcp", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/cturkieh-france-data-mcp" }, { "slug": "currents-dev-currents-mcp", "name": "currents-dev/currents-mcp", "vendor": "Various", "tagline": "Currents MCP Server", "description": "Currents MCP Server is a TypeScript-based tool that provides a Model Context Protocol interface for interacting with Currents, a cloud platform for Cypress test execution. It enables AI agents to query test results, manage runs, and access dashboard data through standardized MCP endpoints.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Currents for Cypress testing who want AI agents to access test data", "useCases": [ "Query test run status and results from Currents via an AI agent", "Automate test result retrieval and analysis in CI/CD pipelines", "Integrate Currents test data into AI-driven debugging workflows" ], "pros": [ "Lightweight and focused on a specific use case", "Leverages the MCP standard for agent interoperability", "Open source with TypeScript for easy customization" ], "cons": [ "Very early stage with only 17 GitHub stars", "Limited to Currents platform users", "Requires understanding of MCP for effective use" ], "tags": [ "ai", "currents", "mcp", "playwright" ], "featured": false, "tier": "curated", "stars": 17, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/currents-dev/currents-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/currents-dev-currents-mcp" }, { "slug": "custodia-admin-pagebolt-mcp", "name": "Custodia-Admin/pagebolt-mcp", "vendor": "Various", "tagline": "An MCP server to allow AI agents to interact with PageBolt to take screenshots, grab PDFs, and more.", "description": "An MCP server that enables AI agents to take screenshots and generate PDFs via PageBolt. It exposes these actions as tools that agents can call programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need automated web page capture capabilities", "useCases": [ "Capture webpage screenshots on demand", "Generate PDFs from web pages", "Integrate PageBolt actions into agent workflows" ], "pros": [ "Simple MCP interface for agent integration", "Lightweight JavaScript implementation", "Directly addresses common web capture needs" ], "cons": [ "Very early stage with only 2 GitHub stars", "Limited documentation and community support", "Depends on PageBolt service availability" ], "tags": [ "ai-agents", "browser-automation", "mcp", "mcp-server", "mcp-servers", "pdf-generation", "puppeteer", "screenshot-api" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/Custodia-Admin/pagebolt-mcp", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/custodia-admin-pagebolt-mcp" }, { "slug": "cuthongthai-vn-vimo-mcp-server", "name": "cuthongthai-vn/vimo-mcp-server", "vendor": "Various", "tagline": "VIMO — Vietnam Financial Intelligence", "description": "An MCP server that connects AI assistants to VIMO, a Vietnamese financial intelligence platform. It enables AI models to interact with VIMO's financial services through the Model Context Protocol, allowing operations like balance inquiries or transactions via natural language.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI integrations for VIMO's Vietnamese financial services", "useCases": [ "Build an AI assistant that can query VIMO account balances and transaction history", "Automate financial tasks on VIMO through chat-based interfaces", "Integrate VIMO financial data into AI-powered workflow tools" ], "pros": [ "Leverages the standard MCP protocol for easy integration with AI models", "Written in JavaScript, accessible to a broad developer audience", "Targets a specific Vietnamese financial platform, filling a niche need" ], "cons": [ "Zero GitHub stars indicates very low adoption and community support", "Limited documentation and testing available due to the project's early stage", "Vendor listed as 'Various' suggests unclear maintenance and ownership" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/cuthongthai-vn/vimo-mcp-server", "relations": { "works_in": [ "cline", "continue", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/cuthongthai-vn-vimo-mcp-server" }, { "slug": "cuttalo-depscope", "name": "cuttalo/depscope", "vendor": "Various", "tagline": "DepScope — Package Intelligence for AI Agents. 22 MCP tools, 19 ecosystems, free, no auth. https://depscope.dev", "description": "DepScope provides package intelligence for AI agents via 22 MCP tools covering 19 ecosystems. It is free and requires no authentication.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need package intelligence across multiple ecosystems", "useCases": [ "Querying package metadata across multiple ecosystems without authentication", "Integrating dependency information into AI agent workflows", "Exploring package relationships and versions programmatically" ], "pros": [ "Free to use with no authentication required", "Covers 19 ecosystems with 22 MCP tools", "Open source on GitHub" ], "cons": [ "Low community adoption (1 star on GitHub)", "Limited documentation or support due to early stage", "May lack stability or frequent updates" ], "tags": [ "ai-agents", "ai-safety", "anti-hallucination", "claude-code", "cursor", "dependency-management", "dependency-scanner", "llm-tools" ], "featured": false, "tier": "curated", "stars": 1, "language": [], "lastUpdated": "2026-05-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/cuttalo/depscope", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/cuttalo-depscope" }, { "slug": "cyberchitta-llm-context-py", "name": "cyberchitta/llm-context.py", "vendor": "Various", "tagline": "Share code with LLMs via Model Context Protocol or clipboard. Rule-based customization enables easy switching between different tasks (like code review and documentation). Includes", "description": "Shares code with large language models via the Model Context Protocol or clipboard. Rule-based customization lets you switch between tasks like code review and documentation. Includes smart code outlining to improve context clarity.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who regularly share code with LLMs for review, documentation, or refactoring tasks.", "useCases": [ "Send code snippets to an LLM for review without manual copy-paste", "Automatically tailor code context for different documentation requests", "Generate structured code outlines for LLM-based refactoring" ], "pros": [ "Supports multiple sharing methods (MCP and clipboard)", "Rule system makes task switching easy and repeatable", "Smart outlining reduces noise in the context sent to the LLM" ], "cons": [ "Requires Python runtime to use", "Rule configuration has a learning curve for new users", "Limited to code context sharing, not general file or data sharing" ], "tags": [ "claude-desktop", "cli", "coding", "model-context-protocol", "tools" ], "featured": false, "tier": "curated", "stars": 301, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/cyberchitta/llm-context.py", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "cursor", "claude-code", "continue" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/cyberchitta-llm-context-py" }, { "slug": "cyberweasel777-botindex-mcp-server", "name": "Cyberweasel777/botindex-mcp-server", "vendor": "Various", "tagline": "Cyberweasel777/botindex-mcp-server — indexed from awesome-mcp-servers-punkpeye", "description": "Cyberweasel777/botindex-mcp-server is a JavaScript Model Context Protocol (MCP) server designed for bot indexing. It is listed in the awesome-mcp-servers-punkpeye collection and can be integrated with MCP-compatible clients to provide bot index resources or tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring MCP-based bot indexing solutions in JavaScript", "useCases": [ "Build an MCP-compatible client that queries bot index data", "Expose bot indexing capabilities to other MCP servers or tools", "Integrate with existing bot management workflows via MCP" ], "pros": [ "Written in JavaScript, broadly accessible for Node.js projects", "Part of a curated awesome list, suggesting community interest", "Open source with no vendor lock-in" ], "cons": [ "No GitHub stars yet, indicating early or untested stage", "Lacks detailed documentation beyond the listing", "Unknown stability or production readiness" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/Cyberweasel777/botindex-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp", "exa-labs-exa-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/cyberweasel777-botindex-mcp-server" }, { "slug": "cyclops-ui-mcp-cyclops", "name": "cyclops-ui/mcp-cyclops", "vendor": "Various", "tagline": "Model Context Protocol server for Cyclops", "description": "Model Context Protocol server for Cyclops. It enables MCP-compatible clients to interact with Cyclops resources. Written in Go, it provides a standard interface for managing Kubernetes operations through Cyclops.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Kubernetes developers using Cyclops who want MCP-based automation", "useCases": [ "Manage Cyclops resources programmatically via MCP", "Integrate Cyclops with AI-powered assistants using MCP", "Automate Kubernetes deployments through Cyclops workflows" ], "pros": [ "Open source and written in Go for lightweight deployment", "Follows the Model Context Protocol for easy integration", "Provides a single interface for Cyclops resource management" ], "cons": [ "Small community with 30 stars indicates early adoption", "Tied to the Cyclops ecosystem, limited outside it", "Requires a running Cyclops instance to function" ], "tags": [ "cyclops", "devops", "kubernetes", "mcp", "mcp-server", "platform-engineering" ], "featured": false, "tier": "curated", "stars": 30, "language": [ "Go" ], "lastUpdated": "2025-06-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/cyclops-ui/mcp-cyclops", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "txn2-kubefwd" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/cyclops-ui-mcp-cyclops" }, { "slug": "cyntrisec-cyntrisec-cli", "name": "cyntrisec/cyntrisec-cli", "vendor": "Various", "tagline": "Historical AWS analysis CLI; not a current Cyntrisec product", "description": "A historical command-line interface for analyzing AWS environments. It is written in Python and is no longer maintained or part of the current Cyntrisec product line.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a basic, no-frills AWS analysis CLI for legacy or one-off audits", "useCases": [ "Auditing AWS account configurations from the terminal", "Checking for common security misconfigurations in AWS resources", "Performing lightweight, scriptable AWS environment analysis" ], "pros": [ "Open source and free to use", "Simple Python CLI with minimal dependencies", "Useful for quick, ad-hoc AWS checks" ], "cons": [ "Unmaintained and not updated for current AWS services", "Very low community adoption (3 stars)", "Limited functionality compared to modern AWS analysis tools" ], "tags": [ "aws-security", "claude", "graph-theory", "mcp", "mcp-server", "python" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-05-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/cyntrisec/cyntrisec-cli", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "awslabs-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/cyntrisec-cyntrisec-cli" }, { "slug": "czagents-cnb", "name": "@czagents/cnb", "vendor": "Various", "tagline": "Open-source Model Context Protocol servers for Czech government & business data: ARES, ČNB, EU+OFAC sanctions, ISIR insolvency, and a unified due-diligence aggregator.", "description": "Open-source Model Context Protocol servers that provide access to Czech government and business data sources including ARES, ČNB exchange rates, EU/OFAC sanctions, and ISIR insolvency records. Also includes a unified aggregator for due diligence checks. Built in TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based tools for Czech due diligence or compliance automation", "useCases": [ "Retrieve Czech company registry data from ARES", "Check EU and OFAC sanctions lists", "Aggregate due diligence information from multiple Czech data sources" ], "pros": [ "Free and open-source with no vendor lock-in", "Covers multiple Czech official data sources in one tool", "TypeScript codebase easy to integrate with modern stacks" ], "cons": [ "Limited to Czech-specific data (not useful outside that domain)", "Low GitHub popularity (2 stars) suggests minimal community or maintenance", "Requires self-hosting MCP infrastructure" ], "tags": [ "ares", "claude", "czech-republic", "due-diligence", "insolvency", "kyc", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/martinhavel/cz-agents-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/czagents-cnb" }, { "slug": "czottmann-kagi-ken-mcp", "name": "czottmann/kagi-ken-mcp", "vendor": "Various", "tagline": "Unofficial MCP server for working with Kagi without API access (you'll need to be a customer). Searches and summarizes. Uses Kagi session token for easy authentication. Works well", "description": "An unofficial Model Context Protocol server that allows AI agents to search and summarize content via Kagi without a separate API key. It authenticates using a Kagi session token, making setup straightforward for existing Kagi subscribers.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Kagi subscribers who want to give their MCP-compatible agents search and summarization abilities", "useCases": [ "Enabling AI agents to perform web searches through Kagi", "Summarizing articles and web pages via an agent", "Integrating Kagi search results into MCP-compatible tools like Claude" ], "pros": [ "No API key needed, only a Kagi session token", "Straightforward MCP integration for agents", "Provides both search and summary capabilities" ], "cons": [ "Requires a paid Kagi subscription to use", "Unofficial project with 39 stars, limited community vetting", "Bind to a specific user session, not designed for multi-tenant use" ], "tags": [ "kagi-ken", "kagi-search", "kagi-summarizer", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 39, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-02-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/czottmann/kagi-ken-mcp", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "exa-labs-exa-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/czottmann-kagi-ken-mcp" }, { "slug": "dagger-container-use", "name": "dagger/container-use", "vendor": "Various", "tagline": "Development environments for coding agents. Enable multiple agents to work safely and independently with your preferred stack.", "description": "Container-use is a Go library that provides isolated development environments for coding agents. It allows multiple agents to work safely and independently within containers using your preferred software stack.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building multi-agent systems that need isolated, reproducible environments", "useCases": [ "Running multiple coding agents in parallel without conflicts", "Providing reproducible development environments for agent workflows", "Isolating agent dependencies and toolchains per session" ], "pros": [ "Enables safe concurrent agent execution in isolated containers", "Works with any stack you define, not tied to a specific toolchain", "Open source with a growing community (3808 stars)" ], "cons": [ "Requires familiarity with Go to integrate or extend", "Container overhead may be heavy for simple agent tasks", "Limited documentation beyond the repository README" ], "tags": [], "featured": false, "tier": "curated", "stars": 3808, "language": [ "Go" ], "license": "Apache-2.0", "lastUpdated": "2026-02-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/dagger/container-use", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [ "docker" ], "built_with": [], "pairs_with": [], "alternative_to": [ "pydantic-pydantic-ai-mcp-run-python" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/dagger-container-use" }, { "slug": "daghis-teamcity-mcp", "name": "Daghis/teamcity-mcp", "vendor": "Various", "tagline": "Model Context Protocol (MCP) server for JetBrains TeamCity: control builds, tests, agents and configs from AI coding assistants.", "description": "Teamcity-mcp is an open-source Model Context Protocol server for JetBrains TeamCity, written in TypeScript. It allows AI coding assistants to trigger builds, inspect test results, manage agents, and modify project configurations through the MCP interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and teams using JetBrains TeamCity who want to control CI/CD workflows through AI assistants", "useCases": [ "Trigger TeamCity builds from a chat or IDE assistant", "Query build status and test outcomes in real time", "Update build configuration parameters via natural language" ], "pros": [ "Lightweight TypeScript implementation with clear MCP compliance", "Enables TeamCity automation directly from AI coding assistants", "Open source with permissive license for customization" ], "cons": [ "Small community (25 GitHub stars) means limited support and contributions", "Requires self-hosting and exposing the TeamCity API to the MCP server", "Depends on the evolving MCP ecosystem, which may introduce breaking changes" ], "tags": [ "automation", "cd", "ci", "devops", "mcp", "model-context-protocol", "nodejs", "teamcity" ], "featured": false, "tier": "curated", "stars": 25, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/Daghis/teamcity-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "sooperset-mcp-atlassian" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/daghis-teamcity-mcp" }, { "slug": "daichi-kudo-llm-advisor-mcp", "name": "Daichi-Kudo/llm-advisor-mcp", "vendor": "Various", "tagline": "Daichi-Kudo/llm-advisor-mcp — indexed from awesome-mcp-servers-punkpeye", "description": "Daichi-Kudo/llm-advisor-mcp is a Model Context Protocol server that provides advice for large language models. Written in TypeScript, it enables MCP-compatible clients to query LLM-related guidance.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with MCP-based advisory tools for LLM guidance", "useCases": [ "Integrating LLM advice into MCP-based workflows", "Querying best practices for LLM usage and configuration", "Automating recommendations for LLM selection or tuning" ], "pros": [ "Straightforward MCP integration for TypeScript projects", "Open source with a permissive license", "Lightweight and focused on a single advisory function" ], "cons": [ "Zero stars and no visible community adoption", "Lacks documentation beyond the repository listing", "Unclear maintenance status and long-term viability" ], "tags": [ "ai", "benchmarks", "claude-code", "llm", "mcp-server", "model-comparison", "model-context-protocol", "model-selection" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-02-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/Daichi-Kudo/llm-advisor-mcp", "relations": { "works_in": [ "cursor", "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/daichi-kudo-llm-advisor-mcp" }, { "slug": "daiji-sshr-redmine-mcp-stateless", "name": "daiji-sshr/redmine-mcp-stateless", "vendor": "Various", "tagline": "> A stateless & SSE-ready MCP server for Redmine. Supports shared team deployment with per-request credential handling.", "description": "A stateless MCP server for Redmine that uses Server-Sent Events (SSE) for real-time communication. It supports shared team deployment by handling credentials on a per-request basis, avoiding persistent sessions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Teams needing a stateless, SSE-capable Redmine integration for AI toolchains", "useCases": [ "Integrate Redmine project management with AI assistants via MCP", "Deploy a stateless Redmine API bridge for multi-user teams", "Enable real-time Redmine data streaming through SSE endpoints" ], "pros": [ "Stateless design simplifies scaling and team deployment", "SSE support enables real-time data streaming", "Per-request credential handling improves security in shared environments" ], "cons": [ "Zero stars and no community adoption yet", "Limited documentation beyond the basic description", "Requires Python runtime and MCP client setup" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/daiji-sshr/redmine-mcp-stateless", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "sooperset-mcp-atlassian", "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/daiji-sshr-redmine-mcp-stateless" }, { "slug": "daisys-ai-daisys-mcp", "name": "daisys-ai/daisys-mcp", "vendor": "Various", "tagline": "The Daisys mcp server", "description": "A Python-based MCP (Model Context Protocol) server for the Daisy's AI ecosystem. It exposes tools and resources for interacting with Daisy's services through the standard MCP interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with MCP integration into the Daisy's AI ecosystem", "useCases": [ "Integrating Daisy's AI capabilities into MCP-compatible clients", "Building custom tooling that leverages Daisy's models", "Prototyping MCP-based workflows with Daisy's ecosystem" ], "pros": [ "Lightweight Python implementation that follows the MCP specification", "Straightforward to set up and extend for custom use cases" ], "cons": [ "New project with limited test coverage and community support (13 stars)", "Dependency on the Daisy's platform, which may have its own stability and availability constraints" ], "tags": [], "featured": false, "tier": "curated", "stars": 13, "language": [ "Python" ], "lastUpdated": "2025-07-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/daisys-ai/daisys-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "pydantic-pydantic-ai-mcp-run-python" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/daisys-ai-daisys-mcp" }, { "slug": "damientilman-mailchimp-mcp-server", "name": "damientilman/mailchimp-mcp-server", "vendor": "Various", "tagline": "Full Mailchimp Marketing API for Claude — 112 tools across campaigns, audiences, reports, segments, automations and e-commerce. Read-only and dry-run safety modes.", "description": "This MCP server exposes 112 Mailchimp Marketing API tools for use with Claude. It covers campaigns, audiences, reports, segments, automations, and e-commerce. Read-only and dry-run safety modes help prevent unintended changes during testing.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers integrating Mailchimp with Claude for marketing automation", "useCases": [ "Automate email campaign creation and management", "Analyze audience segments and reports", "Test Mailchimp API calls safely with dry-run mode" ], "pros": [ "Comprehensive coverage of Mailchimp Marketing API with 112 tools", "Safety modes prevent accidental changes", "Open-source Python implementation" ], "cons": [ "Requires Mailchimp API key and server setup", "Limited to Mailchimp Marketing API (not Transactional)", "Small community (13 stars) may mean less support" ], "tags": [ "ai", "ai-tools", "anthropic", "claude", "email-api", "email-marketing", "llm", "mailchimp" ], "featured": false, "tier": "curated", "stars": 13, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/damientilman/mailchimp-mcp-server", "relations": { "works_in": [ "claude-code", "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/damientilman-mailchimp-mcp-server" }, { "slug": "dan1d-cobroya", "name": "dan1d/cobroya", "vendor": "Various", "tagline": "Mercado Pago tool connector for AI agents, Telegram, WhatsApp and automation platforms", "description": "A TypeScript connector that integrates Mercado Pago payment processing into AI agents, Telegram bots, WhatsApp bots, and automation platforms. It provides a tool interface for these platforms to handle payments via Mercado Pago.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building chat bots or AI agents that need to accept payments via Mercado Pago", "useCases": [ "Add Mercado Pago checkout to a Telegram or WhatsApp bot", "Enable AI agents to process payments through Mercado Pago", "Automate payment workflows in no-code or low-code platforms" ], "pros": [ "TypeScript codebase for type safety and modern development", "Open source with a permissive license", "Targets multiple popular messaging and automation platforms" ], "cons": [ "Very early stage with only 1 GitHub star and minimal community", "Limited documentation and examples available", "No evidence of production testing or active maintenance" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/dan1d/mercadopago-tool", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "lharries-whatsapp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/dan1d-cobroya" }, { "slug": "dan1d-dolar-mcp", "name": "dan1d/dolar-mcp", "vendor": "Various", "tagline": "Argentine exchange rates MCP server. Dollar blue, oficial, CCL, crypto and all currencies via DolarAPI.", "description": "dan1d/dolar-mcp is an MCP server that provides Argentine exchange rates via DolarAPI. It returns rates for dollar blue, official, CCL, crypto, and all currencies. The server is written in TypeScript and is intended for use with the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP‑based tools or agents that need up‑to‑date Argentine exchange rate data", "useCases": [ "Fetch current Argentine exchange rates for a chatbot or agent", "Integrate real-time financial data into an MCP-compatible assistant", "Monitor multiple Argentine currency pairs programmatically" ], "pros": [ "Simple, focused scope on Argentine exchange rates", "Leverages a well-known public API (DolarAPI)", "Written in TypeScript for type safety" ], "cons": [ "Limited to Argentine rates only, not a general currency tool", "Low community adoption (4 stars) may mean less support or maintenance", "Requires an MCP‑compatible host to be useful" ], "tags": [], "featured": false, "tier": "curated", "stars": 4, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-09", "addedAt": "2026-06-01", "officialLink": "https://github.com/dan1d/dolar-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/dan1d-dolar-mcp" }, { "slug": "dan1d-mercadolibre-mcp", "name": "dan1d/mercadolibre-mcp", "vendor": "Various", "tagline": "MercadoLibre MCP server for AI agents. Search products, browse categories, track trends across Latin America.", "description": "An MCP server that lets AI agents search products, browse categories, and track trends on MercadoLibre across Latin America. It is written in TypeScript and exposes marketplace data through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to query MercadoLibre product and trend data for Latin American markets", "useCases": [ "Search for products on MercadoLibre by keyword or category", "Browse product categories and subcategories", "Track trending products and marketplace trends in Latin America" ], "pros": [ "Provides direct access to Latin American e-commerce data for AI agents", "Open source and built on the standard MCP protocol", "Written in TypeScript for type safety and easy integration" ], "cons": [ "Zero stars on GitHub indicates very limited community adoption or testing", "Depends on MercadoLibre's API which may have rate limits and require authentication", "No documented usage examples or test coverage visible" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-09", "addedAt": "2026-06-01", "officialLink": "https://github.com/dan1d/mercadolibre-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/dan1d-mercadolibre-mcp" }, { "slug": "dan8oren-mcp-apple-notes", "name": "Dan8Oren/mcp-apple-notes", "vendor": "Various", "tagline": "MCP server for Apple Notes — semantic search, folder browsing, and RAG. Works with any MCP client (Claude, Cursor, Windsurf, Cline). Fully local, no API keys.", "description": "An MCP server that enables semantic search, folder browsing, and retrieval-augmented generation (RAG) on Apple Notes. It connects to any MCP-compatible client such as Claude, Cursor, Windsurf, or Cline. Runs fully locally with no API keys required.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Apple Notes who want to integrate its content into AI-assisted coding workflows", "useCases": [ "Search notes by meaning using semantic queries", "Browse and organize Apple Notes folders from within an MCP client", "Extract knowledge from notes for RAG-based prompts" ], "pros": [ "Fully local and private with no external API keys needed", "Compatible with multiple MCP clients (Claude, Cursor, Windsurf, Cline)", "Provides both semantic search and structured folder browsing" ], "cons": [ "Only works on macOS with Apple Notes", "Low community adoption (8 stars) may indicate limited support or testing", "Requires manual MCP client configuration" ], "tags": [], "featured": false, "tier": "curated", "stars": 8, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/Dan8Oren/mcp-apple-notes", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "cursor", "cline", "claude-code" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/dan8oren-mcp-apple-notes" }, { "slug": "danhilse-notion-mcp", "name": "danhilse/notion_mcp", "vendor": "Various", "tagline": "A simple MCP integration that allows Claude to read and manage a personal Notion todo list", "description": "A simple MCP integration that lets Claude read and manage a personal Notion todo list. It uses Python to connect to the Notion API and exposes todo-related tools through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want Claude to manage their personal Notion tasks", "useCases": [ "Reading tasks from a personal Notion todo list", "Adding new tasks to the Notion list", "Updating or completing existing tasks" ], "pros": [ "Straightforward setup for Claude users with a Notion todo list", "Lightweight Python implementation with 206 stars indicating community trust", "Focuses on a single, clear use case without unnecessary complexity" ], "cons": [ "Limited to a personal Notion todo list, not general workspace databases", "Requires manual Notion API token configuration", "No built-in support for advanced Notion features like filters or relations" ], "tags": [ "claude", "mcp-servers", "notion" ], "featured": false, "tier": "curated", "stars": 206, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2024-12-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/danhilse/notion_mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "eyaltoledano-claude-task-master" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/danhilse-notion-mcp" }, { "slug": "danielkennedy1-pdf-tools-mcp", "name": "danielkennedy1/pdf-tools-mcp", "vendor": "Various", "tagline": "🐍 - PDF download, view & manipulation utilities.", "description": "A Python-based Model Context Protocol (MCP) server that provides utilities for downloading, viewing, and manipulating PDF files. It enables AI agents to perform common PDF operations through a standardized protocol, supporting tasks like text extraction and basic document transformations.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need basic PDF handling capabilities via the Model Context Protocol", "useCases": [ "Download PDFs from URLs for further processing by an agent", "Extract text content from PDFs for analysis or indexing", "Manipulate PDFs by merging, splitting, or rotating pages" ], "pros": [ "Lightweight and easy to integrate into MCP-compatible workflows", "Written in Python, making it accessible for most developer stacks", "Open source with a permissive license for customization" ], "cons": [ "Small user base (31 stars) implies limited community support and testing", "May lack advanced features like OCR, form filling, or complex layout preservation", "Documentation is minimal, requiring users to read the source code for details" ], "tags": [], "featured": false, "tier": "curated", "stars": 31, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-05-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/danielkennedy1/pdf-tools-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "microsoft-markitdown" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/danielkennedy1-pdf-tools-mcp" }, { "slug": "danmartuszewski-hop", "name": "danmartuszewski/hop", "vendor": "Various", "tagline": "Fast, elegant SSH connection manager with a TUI dashboard and MCP server", "description": "Hop is an SSH connection manager that provides a terminal user interface dashboard and an MCP server for managing connections. It is written in Go and organizes SSH sessions for fast, keyboard-driven access.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and sysadmins who manage many SSH hosts and prefer terminal-based workflows.", "useCases": [ "Quickly switch between multiple SSH hosts from a TUI menu", "Integrate SSH session management into MCP-compatible tools", "Reduce repetitive SSH command typing with a centralized config" ], "pros": [ "Lightweight Go binary with no heavy dependencies", "TUI dashboard enables rapid host selection without leaving the terminal", "MCP server allows programmatic control of connections" ], "cons": [ "Small community (51 stars) means limited support and fewer features", "Requires learning TUI keybindings for efficient use", "MCP server integration may add complexity for simple use cases" ], "tags": [ "cli", "devops", "mcp", "mcp-server", "model-context-protocol", "ssh" ], "featured": false, "tier": "curated", "stars": 51, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-05-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/danmartuszewski/hop", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/danmartuszewski-hop" }, { "slug": "danielpeter-99-calcom-mcp", "name": "Danielpeter-99/calcom-mcp", "vendor": "Various", "tagline": "A FastMCP server for interacting with the Cal.com API. This enables LLMs to manage event types, create bookings, and access Cal.com scheduling data programmatically.", "description": "A FastMCP server built in Python that exposes Cal.com scheduling capabilities to LLM agents. It allows programmatic management of event types, creation of bookings, and retrieval of scheduling data through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-driven scheduling assistants or calendar automation tools", "useCases": [ "Let an AI assistant schedule meetings by creating Cal.com bookings", "Automate event type configuration via natural language commands", "Query availability and reschedule appointments through an LLM" ], "pros": [ "Leverages the standard FastMCP protocol for easy integration with MCP hosts", "Targeted functionality keeps the codebase small and focused", "Enables direct control of Cal.com data from AI workflows" ], "cons": [ "Relies on the Cal.com API, so any API changes or downtime affect functionality", "Small community (18 stars) means limited support and documentation", "Requires running or hosting the MCP server alongside an LLM application" ], "tags": [], "featured": false, "tier": "curated", "stars": 18, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-06-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/Danielpeter-99/calcom-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/danielpeter-99-calcom-mcp" }, { "slug": "dannote-figma-use", "name": "dannote/figma-use", "vendor": "Various", "tagline": "Control Figma from the command line. Full read/write access for AI agents — create shapes, text, components, set styles, export images. 100+ commands.", "description": "A command-line tool that provides full read/write access to Figma files. It exposes over 100 commands for creating shapes, text, components, setting styles, and exporting images. Designed for AI agents and automation scripts.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers automating Figma workflows or building AI agents that interact with Figma", "useCases": [ "Automate design updates from CI/CD pipelines", "Generate Figma components programmatically", "Integrate Figma manipulation into AI agent workflows" ], "pros": [ "Full read/write access to Figma files", "Over 100 commands covering most design operations", "TypeScript codebase for type safety and extensibility" ], "cons": [ "Requires a Figma API token for authentication", "Command-line only, no graphical interface", "Steep learning curve for non-developers" ], "tags": [ "ai-agents", "automation", "cli", "design", "figma" ], "featured": false, "tier": "curated", "stars": 554, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/dannote/figma-use", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "glips-figma-context-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/dannote-figma-use" }, { "slug": "dappierai-dappier-mcp", "name": "DappierAI/dappier-mcp", "vendor": "Various", "tagline": "Enable fast, free real-time web search and access premium data from trusted media brands—news, financial markets, sports, entertainment, weather, and more. Build powerful AI agents", "description": "Dappier MCP is a Model Context Protocol server that provides fast, free real-time web search and access to premium data from trusted media brands. It supports queries for news, financial markets, sports, entertainment, weather, and more, enabling AI agents to retrieve current information. Built in Python, it offers a straightforward API for integrating live data into agent workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that require free, real-time access to news and financial data from reputable sources.", "useCases": [ "Building AI agents that need real-time news and market data for research or summarization", "Adding live sports scores, weather updates, or entertainment info to conversational assistants", "Prototyping agents that require external trusted data sources without costly API fees" ], "pros": [ "Free to use with no subscription required for basic real-time search", "Access to premium data from established media brands, enhancing source credibility", "Simple MCP integration for Python-based AI agents and frameworks" ], "cons": [ "Limited community adoption (39 GitHub stars) indicates early-stage project with potential instability", "Reliance on external media APIs may introduce latency or availability constraints", "Scope of premium data access might be restricted by licensing or regional availability" ], "tags": [], "featured": false, "tier": "curated", "stars": 39, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-06-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/DappierAI/dappier-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "exa-labs-exa-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/dappierai-dappier-mcp" }, { "slug": "daredev256-fcpxml-mcp-server", "name": "DareDev256/fcpxml-mcp-server", "vendor": "Various", "tagline": "🎬 The first AI-powered MCP server for Final Cut Pro XML. Control your edits with natural language.", "description": "This is an MCP server that translates natural language commands into Final Cut Pro XML files. It allows developers to programmatically generate and modify FCPXML documents through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building automated video editing pipelines or prototyping natural language interfaces for Final Cut Pro", "useCases": [ "Automating video edit workflows by generating FCPXML from text prompts", "Integrating natural language editing commands into custom video production tools", "Prototyping rapid edit sequences without manual timeline manipulation" ], "pros": [ "Enables programmatic control of Final Cut Pro via XML", "Low barrier to entry with natural language input", "Open source with a Python codebase for easy customization" ], "cons": [ "Limited to FCPXML output, not direct Final Cut Pro control", "Small community with only 48 stars and limited documentation", "Requires understanding of FCPXML structure for complex edits" ], "tags": [ "ai", "anthropic", "claude", "fcpxml", "final-cut-pro", "mcp", "model-context-protocol", "python" ], "featured": false, "tier": "curated", "stars": 48, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/DareDev256/fcpxml-mcp-server", "relations": { "works_in": [ "claude-code", "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/daredev256-fcpxml-mcp-server" }, { "slug": "darktw-chatpipe-mcp", "name": "darktw/chatpipe-mcp", "vendor": "Various", "tagline": "Publish live web pages from your AI coding agent — instant shareable URLs from your terminal.", "description": "A developer tool that publishes live web pages directly from the terminal via an AI coding agent. It generates instant shareable URLs for the output, enabling fast previews and sharing of generated content.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using AI coding agents who need to quickly share live web pages from their terminal", "useCases": [ "Share generated UI prototypes with teammates instantly", "Preview and iterate on frontend code from an AI assistant", "Deploy static pages from terminal commands without a full hosting setup" ], "pros": [ "Creates shareable URLs with no additional hosting configuration", "Works directly from the terminal with AI coding agents", "Lightweight JavaScript implementation" ], "cons": [ "Requires Node.js runtime to be installed", "New project with zero stars, limited community and documentation", "Likely limited to static content; dynamic backend support is unclear" ], "tags": [ "ai-tools", "chatpipe", "developer-tools", "html-publishing", "live-pages", "mcp", "mcp-server", "shareable-links" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/darktw/chatpipe-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/darktw-chatpipe-mcp" }, { "slug": "darktw-usecortex-mcp", "name": "darktw/usecortex-mcp", "vendor": "Various", "tagline": "UseCortex MCP Server — Give your AI coding agent a persistent memory. Read and write knowledge from any tool.", "description": "UseCortex MCP Server provides a persistent memory layer for AI coding agents. It allows reading and writing knowledge from any tool that supports the Model Context Protocol. The server is written in JavaScript and is available on GitHub.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI coding agents that need a lightweight persistent memory solution", "useCases": [ "Give an AI coding agent persistent memory across sessions", "Store and retrieve context or knowledge from any MCP-compatible tool", "Enable AI agents to remember user preferences or project details" ], "pros": [ "Provides persistent memory for AI agents without external databases", "Works with any tool that supports the Model Context Protocol", "Simple read/write interface for knowledge storage" ], "cons": [ "Zero stars on GitHub indicates very limited adoption or early stage", "Lack of community support or documentation may hinder troubleshooting", "Unproven reliability and potential instability due to low usage" ], "tags": [ "ai-memory", "ai-tools", "context", "developer-tools", "encrypted", "knowledge-management", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/darktw/usecortex-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/darktw-usecortex-mcp" }, { "slug": "data-everything-mcp-server-templates", "name": "Data-Everything/mcp-server-templates", "vendor": "Various", "tagline": "A flexible platform that provides Docker & Kubernetes backends, a lightweight CLI (mcpt), and client utilities for seamless MCP integration. Spin up servers from templates, route r", "description": "A platform for deploying and managing MCP (Model Context Protocol) servers using Docker or Kubernetes backends. It provides a CLI (mcpt) and client utilities to spin up servers from templates, route requests through a single endpoint with load balancing, and support both HTTP and stdio transports via YAML configuration.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based services who need a quick, configurable deployment and routing layer", "useCases": [ "Quickly deploy MCP servers from predefined templates", "Route and load balance requests across multiple MCP endpoints", "Integrate MCP services with container orchestration (Docker/K8s)" ], "pros": [ "Flexible transport support (HTTP and stdio) for different deployment scenarios", "Sensible defaults and YAML configs reduce boilerplate", "Includes CLI and client utilities for seamless integration" ], "cons": [ "Low community adoption (18 stars) may mean limited support and fewer templates", "Requires familiarity with Docker/Kubernetes and MCP concepts", "YAML configuration can become complex for advanced routing rules" ], "tags": [ "ai", "claude", "crew-ai", "cursor", "langchain", "llm", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 18, "language": [ "Python" ], "lastUpdated": "2025-08-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/Data-Everything/mcp-server-templates", "relations": { "works_in": [], "uses": [ "docker" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/data-everything-mcp-server-templates" }, { "slug": "dataeval-dingo", "name": "DataEval/dingo", "vendor": "Various", "tagline": "Dingo: A Comprehensive AI Data, Model and Application Quality Evaluation Tool", "description": "Dingo is an open-source Python library for evaluating the quality of AI data, models, and applications. It provides a structured framework to run automated tests and benchmarks across different stages of the AI development pipeline.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI pipelines who need a unified evaluation tool for data, models, and applications.", "useCases": [ "Assess dataset quality before training a model", "Benchmark model performance on custom evaluation tasks", "Validate application outputs against expected quality standards" ], "pros": [ "Covers data, model, and application evaluation in one tool", "Open-source with a growing community (706 stars)", "Python-native, easy to integrate into existing workflows" ], "cons": [ "Limited documentation and examples for advanced use cases", "Smaller community compared to more established evaluation libraries", "May lack support for some specialized evaluation metrics" ], "tags": [ "agent-as-a-judge", "common-crawl", "data-agent", "data-evaluation", "data-quality", "data-quality-assessment", "data-quality-report", "data-validation" ], "featured": false, "tier": "curated", "stars": 706, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/DataEval/dingo", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/dataeval-dingo" }, { "slug": "datalayer-jupyter-mcp-server", "name": "datalayer/jupyter-mcp-server", "vendor": "Various", "tagline": "🪐 🔧 Model Context Protocol (MCP) Server for Jupyter.", "description": "A Model Context Protocol (MCP) server that connects AI agents to Jupyter notebooks. It exposes notebook operations such as code execution, cell inspection, and output retrieval through the MCP standard. Built in Python, it enables AI assistants to programmatically interact with Jupyter environments.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to interact with Jupyter notebooks", "useCases": [ "Automating notebook execution from AI assistants", "Integrating Jupyter with MCP-compatible tools", "Enabling AI to read and write notebook cells" ], "pros": [ "Open source with a growing community (1,134 stars)", "Leverages the standard MCP protocol for interoperability", "Python-native, easy to integrate into existing Jupyter workflows" ], "cons": [ "Requires a running Jupyter server and proper configuration", "MCP ecosystem is still emerging, limiting out-of-the-box compatibility", "Documentation may be sparse for advanced use cases" ], "tags": [ "ai", "jupyter", "mcp", "mcp-server", "tools" ], "featured": false, "tier": "curated", "stars": 1134, "language": [ "Python" ], "license": "BSD-3-Clause", "lastUpdated": "2026-05-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/datalayer/jupyter-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "pydantic-pydantic-ai-mcp-run-python", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/datalayer-jupyter-mcp-server" }, { "slug": "davegomez-fizzy-mcp", "name": "davegomez/fizzy-mcp", "vendor": "Various", "tagline": "MCP server for Fizzy task management", "description": "An MCP server that exposes Fizzy task management operations through the Model Context Protocol. It allows MCP-compatible clients to create, read, update, and delete tasks in Fizzy. Built in TypeScript, it is a lightweight integration for developers.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring MCP integrations with Fizzy task management", "useCases": [ "Connect AI assistants to Fizzy for task creation and updates", "Automate task management workflows via MCP tools", "Integrate Fizzy into custom MCP-based development environments" ], "pros": [ "Simple TypeScript codebase easy to understand and modify", "Open source with no vendor lock-in", "Follows the MCP standard for interoperability" ], "cons": [ "Very early stage with only 2 GitHub stars and minimal adoption", "Limited documentation and community support", "May lack advanced features or error handling found in mature tools" ], "tags": [ "ai-tools", "fizzy", "kanban", "mcp" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "AGPL-3.0", "lastUpdated": "2026-02-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/davegomez/fizzy-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "eyaltoledano-claude-task-master" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/davegomez-fizzy-mcp" }, { "slug": "davidan90-time-node-mcp", "name": "davidan90/time-node-mcp", "vendor": "Various", "tagline": "MCP server for timezone-aware date and time operations", "description": "A Model Context Protocol server that provides timezone-aware date and time operations. It allows clients to retrieve current time in specified timezones, convert between timezones, and format dates with timezone information. Built in TypeScript, it integrates with any MCP-compatible host.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using MCP-compatible tools who need reliable timezone-aware date and time operations", "useCases": [ "Get current time in a specific timezone", "Convert a date/time from one timezone to another", "Format dates with timezone-aware output" ], "pros": [ "Lightweight and focused on timezone-aware operations", "Easy to integrate via the MCP protocol", "Written in TypeScript for type safety" ], "cons": [ "Limited to the MCP ecosystem, not a standalone library", "Small community (4 stars) may mean fewer examples or support", "May lack advanced date manipulation features beyond timezone handling" ], "tags": [], "featured": false, "tier": "curated", "stars": 4, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-08-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/davidan90/time-node-mcp", "relations": { "works_in": [ "cursor", "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/davidan90-time-node-mcp" }, { "slug": "dataring-engineering-mcp-server-trino", "name": "Dataring-engineering/mcp-server-trino", "vendor": "Various", "tagline": "MCP Server for Trino", "description": "An MCP server that enables AI agents and tools to query Trino, the distributed SQL query engine. It implements the Model Context Protocol to expose Trino databases as resources and tools for LLM-driven data access. Built in Python, it provides a lightweight bridge between Trino and MCP-compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need live SQL access to Trino data sources", "useCases": [ "Querying Trino data warehouses from AI assistants or agents", "Integrating Trino with MCP-based development environments", "Enabling natural language SQL queries over Trino via LLM tools" ], "pros": [ "Simple Python implementation with minimal dependencies", "Open source with permissive license for customization", "Directly connects Trino to the growing MCP ecosystem" ], "cons": [ "Very small community (18 stars) with limited support", "Early-stage project may lack production hardening", "Requires separate Trino setup and network access" ], "tags": [], "featured": false, "tier": "curated", "stars": 18, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-04-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/Dataring-engineering/mcp-server-trino", "relations": { "works_in": [ "claude-code", "cursor", "cline" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/dataring-engineering-mcp-server-trino" }, { "slug": "davewind-mysql-mcp-server", "name": "davewind/mysql-mcp-server", "vendor": "Various", "tagline": "mcp model-context-protocol mysql cursor n8n", "description": "A Model Context Protocol (MCP) server for MySQL databases, written in JavaScript. It enables AI assistants like Cursor and n8n to execute SQL queries and interact with MySQL through the MCP standard. The server acts as a bridge between AI models and MySQL, allowing natural language database operations.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers prototyping AI agents that need simple MySQL access via MCP", "useCases": [ "Query MySQL databases from AI coding assistants like Cursor", "Integrate MySQL data retrieval into n8n AI workflows", "Build custom AI agents that can read and write to MySQL" ], "pros": [ "Lightweight JavaScript implementation easy to deploy", "Follows the MCP standard for interoperability with multiple AI tools", "Open source with permissive license" ], "cons": [ "Low community adoption (12 stars) suggests limited testing and support", "Minimal documentation beyond the repository README", "May lack production features like connection pooling or authentication" ], "tags": [], "featured": false, "tier": "curated", "stars": 12, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/dave-wind/mysql-mcp-server", "relations": { "works_in": [ "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/davewind-mysql-mcp-server" }, { "slug": "davidlandais-ovh-api-mcp", "name": "davidlandais/ovh-api-mcp", "vendor": "Various", "tagline": "MCP server for the OVH API — explore and execute any OVH endpoint from Claude, Cursor, or any MCP-compatible LLM client. Built in Rust.", "description": "MCP server for the OVH API. It enables exploration and execution of any OVH endpoint from Claude, Cursor, or any MCP-compatible LLM client. Built in Rust.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to control OVH infrastructure through conversational LLM tools.", "useCases": [ "Managing OVH cloud resources through natural language queries in Claude.", "Automating OVH API calls from Cursor during development.", "Exploring OVH API endpoints without writing custom code." ], "pros": [ "Lightweight and efficient due to Rust implementation.", "Standard MCP interface works with multiple LLM clients.", "Direct access to any OVH endpoint without custom wrappers." ], "cons": [ "Zero stars indicate minimal community adoption or testing.", "Relies on user-managed OVH API credentials and permissions.", "Documentation and examples are limited or absent." ], "tags": [ "ai", "ai-tools", "automation", "claude", "cloud-api", "cursor", "devops", "dns" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Rust" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/davidlandais/ovh-api-mcp", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/davidlandais-ovh-api-mcp" }, { "slug": "davidlin2k-pox-mcp-server", "name": "davidlin2k/pox-mcp-server", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server for the POX SDN controller", "description": "An MCP server that exposes POX SDN controller capabilities to AI agents via the Model Context Protocol. It translates MCP requests into POX API calls, enabling programmatic control of software-defined networks.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring MCP integration with SDN environments and POX-based network labs", "useCases": [ "Automate network flow rule installation and removal through natural language or agent commands", "Query POX controller for real-time network topology and link status", "Trigger SDN network reconfiguration based on LLM-driven analysis" ], "pros": [ "Bridges MCP with a real SDN controller for hands-on network automation experiments", "Small, focused Python codebase easy to understand and modify", "Enables AI agents to directly interact with network infrastructure in a controlled way" ], "cons": [ "Very early stage with only 1 star and minimal community adoption", "Limited to the POX controller, which is primarily a research/education tool", "No documentation or usage examples provided beyond the repository description" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-03-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/davidlin2k/pox-mcp-server", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/davidlin2k-pox-mcp-server" }, { "slug": "davidsimoes-digisign-mcp", "name": "davidsimoes/digisign-mcp", "vendor": "Various", "tagline": "MCP server for DigiSign.cz digital signature API — built for Claude Code", "description": "A Model Context Protocol server that wraps the DigiSign.cz digital signature API for use with Claude Code. It enables automated document signing workflows through natural language commands.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude Code who need to add digital signature functionality from DigiSign.cz", "useCases": [ "Sign documents programmatically via Claude Code conversations", "Integrate digital signature capabilities into MCP-compatible tools", "Automate signature requests without manual API calls" ], "pros": [ "Direct integration with Claude Code for conversational signing", "Leverages existing DigiSign.cz API infrastructure", "Simple JavaScript implementation for easy customization" ], "cons": [ "Requires a DigiSign.cz account and API credentials", "Zero stars and no community adoption yet", "Limited to DigiSign.cz service, not a general signing solution" ], "tags": [ "claude-code", "digisign", "digital-signatures", "e-signature", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/davidsimoes/digisign-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/davidsimoes-digisign-mcp" }, { "slug": "davison-francis-min8t-sdks", "name": "Davison-Francis/min8t-sdks", "vendor": "Various", "tagline": "By MiN8T — email infrastructure, design, and deliverability platform. Open-source SDKs + MCP server for DeliverIQ + the MiN8T editor.", "description": "Open-source TypeScript SDKs and MCP server for the MiN8T email platform, including DeliverIQ for email analytics and the MiN8T editor for email design. Provides programmatic access to email infrastructure, design, and deliverability features. Designed for developers integrating email capabilities into their applications.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building custom email solutions with design and analytics needs", "useCases": [ "Build custom email design workflows using the MiN8T editor SDK", "Integrate DeliverIQ email deliverability analytics into applications", "Automate email infrastructure management via the MCP server" ], "pros": [ "Offers open-source, extensible SDKs for flexible integration", "Provides both design and analytics capabilities in one platform", "Uses TypeScript for type safety and developer experience" ], "cons": [ "Project has zero GitHub stars, indicating limited community adoption or early stage", "Documentation and examples may be sparse", "Requires MiN8T platform subscription for full functionality beyond SDKs" ], "tags": [ "agentic-ai", "ai-agents", "anthropic", "claude", "dkim", "dmarc", "dnsbl", "email-deliverability" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/Davison-Francis/min8t-sdks/tree/main/deliveriq-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "elie222-inbox-zero" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/davison-francis-min8t-sdks" }, { "slug": "dbt-labs-dbt-mcp", "name": "dbt-labs/dbt-mcp", "vendor": "Various", "tagline": "A MCP (Model Context Protocol) server for interacting with dbt.", "description": "dbt-mcp is a Model Context Protocol server that enables AI assistants to interact with dbt projects. It exposes dbt commands and metadata through a standardized interface, allowing tools like Claude or Copilot to run dbt operations, inspect models, and retrieve project information.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Data engineers and analysts who want to control dbt workflows from AI assistants without leaving their chat interface.", "useCases": [ "Run dbt run, test, or build commands from an AI chat interface", "Query dbt project metadata like model dependencies and freshness", "Automate dbt workflows by integrating with AI-powered development tools" ], "pros": [ "Official dbt Labs project with active maintenance and community support", "Standard MCP protocol enables compatibility with multiple AI assistants", "Reduces context switching by letting developers interact with dbt through natural language" ], "cons": [ "Requires a running MCP-compatible client, adding setup overhead", "Limited to dbt operations exposed by the server; not a full CLI replacement", "Dependency on Python and dbt environment may conflict with existing setups" ], "tags": [ "data-analytics", "data-engineering", "dbt", "llm", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 574, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/dbt-labs/dbt-mcp", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/dbt-labs-dbt-mcp" }, { "slug": "dcostenco-prism-mcp", "name": "dcostenco/prism-mcp", "vendor": "Various", "tagline": "The Mind Palace for AI Agents - HIPAA-hardened Cognitive Architecture with on-device LLM (prism-coder:7b), Hebbian learning, ACT-R spreading activation, adversarial evaluation, per", "description": "Prism-MCP is a cognitive architecture for AI agents that runs entirely on-device using a local LLM (prism-coder:7b). It implements Hebbian learning, ACT-R spreading activation, adversarial evaluation, persistent memory, and multi-agent Hivemind coordination. The system is HIPAA-hardened and requires no external API keys.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building privacy-sensitive, HIPAA-compliant multi-agent systems with on-device LLMs", "useCases": [ "Building HIPAA-compliant AI agents with on-device processing", "Creating multi-agent systems with persistent memory and coordination", "Running local LLM-based cognitive architectures without cloud dependencies" ], "pros": [ "No API keys required, ensuring privacy and offline capability", "HIPAA-hardened design suitable for healthcare applications", "Built-in multi-agent Hivemind and visual dashboard for monitoring" ], "cons": [ "Requires significant local compute resources to run a 7B parameter model", "Limited to the prism-coder model; no support for other LLMs", "Small community (142 stars) and relatively new project" ], "tags": [ "agent-memory", "ai-agent", "anti-sycophancy", "cognitive-architecture", "hebbian-learning", "hipaa", "local-first", "local-llm" ], "featured": false, "tier": "curated", "stars": 142, "language": [ "TypeScript" ], "license": "AGPL-3.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/dcostenco/prism-mcp", "relations": { "works_in": [], "uses": [ "ollama" ], "built_with": [], "pairs_with": [ "autogen", "metagpt", "mediar-ai-screenpipe" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/dcostenco-prism-mcp" }, { "slug": "ddsky-gamebrain-api-clients", "name": "ddsky/gamebrain-api-clients", "vendor": "Various", "tagline": "☁️ - Search and discover hundreds of thousands of video games on any platform through the [GameBrain API](https://gamebrain.co/api).", "description": "Provides Java client libraries for the GameBrain API, enabling developers to search and retrieve video game data across platforms. The clients abstract HTTP requests and responses for programmatic access to the game database.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Java developers needing quick integration with video game data.", "useCases": [ "Searching for games by title or platform", "Integrating game metadata into an app", "Building a video game discovery tool" ], "pros": [ "Offers a pre-built Java client saving development time", "Provides access to a large database of game information", "Open source on GitHub allowing customization" ], "cons": [ "Limited to Java language", "Low community adoption (3 stars) may indicate limited maintenance or documentation", "Dependency on the GameBrain API which may have its own rate limits or availability" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "Java" ], "license": "Apache-2.0", "lastUpdated": "2025-12-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/ddsky/gamebrain-api-clients", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ddsky-gamebrain-api-clients" }, { "slug": "ddukbg-github-enterprise-mcp", "name": "ddukbg/github-enterprise-mcp", "vendor": "Various", "tagline": "github-enterprise-mcp", "description": "An MCP server that exposes GitHub Enterprise API operations as tools for AI agents. It wraps common GitHub actions like repository management, issue tracking, and pull request handling into a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using GitHub Enterprise who want to connect it to MCP-based AI agents", "useCases": [ "Automating repository creation and configuration on GitHub Enterprise", "Managing issues and pull requests through AI agent workflows", "Integrating GitHub Enterprise data into custom MCP-based tools" ], "pros": [ "Provides a direct MCP interface for GitHub Enterprise, avoiding custom API wrappers", "Written in TypeScript with 28 stars, indicating community interest", "Supports core GitHub operations needed for developer automation" ], "cons": [ "Limited to GitHub Enterprise, not compatible with public GitHub", "Small user base may mean fewer community contributions and slower updates", "Requires MCP-compatible agent or host to be useful" ], "tags": [], "featured": false, "tier": "curated", "stars": 28, "language": [ "TypeScript" ], "lastUpdated": "2025-09-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/ddukbg/github-enterprise-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ddukbg-github-enterprise-mcp" }, { "slug": "deadletterq-mcp-opennutrition", "name": "deadletterq/mcp-opennutrition", "vendor": "Various", "tagline": "MCP server providing access to the comprehensive OpenNutrition food database with 300,000+ food items, nutritional data, and barcode lookups", "description": "An MCP server that exposes the OpenNutrition food database of over 300,000 food items. It supports nutritional data queries and barcode lookups for food products.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based nutrition or food tracking tools", "useCases": [ "Querying nutritional data for over 300,000 food items", "Performing barcode-based lookups for food products", "Building MCP-integrated health or diet applications" ], "pros": [ "Comprehensive food database with 300,000+ items", "Enables quick barcode lookups", "Open-source and TypeScript for easy integration" ], "cons": [ "Requires MCP client integration to use", "Database coverage may vary by region and product availability", "Data maintenance depends on external sources" ], "tags": [], "featured": false, "tier": "curated", "stars": 186, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/deadletterq/mcp-opennutrition", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/deadletterq-mcp-opennutrition" }, { "slug": "dealx-mcp-server", "name": "dealx/mcp-server", "vendor": "Various", "tagline": "MCP Server for DealX platform", "description": "An MCP server that connects AI models to the DealX platform, enabling programmatic access to deal data and actions via the Model Context Protocol. Written in TypeScript, it allows language models to read from and write to DealX resources.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a quick, MCP‑standard bridge between AI agents and the DealX platform.", "useCases": [ "Automate deal creation or updates through conversational AI", "Query deal pipelines and metrics from within an AI agent framework", "Embed DealX workflows into custom AI-powered assistants" ], "pros": [ "Open source and written in a widely adopted language (TypeScript)", "Implements the standard MCP interface for interoperability with AI tools", "Lightweight and focused on a single platform, reducing unnecessary complexity" ], "cons": [ "Very low community adoption (1 star) indicating limited testing and support", "Narrow scope: only works with the DealX platform, not general purpose", "Documentation and examples likely minimal due to early stage" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/DealExpress/mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "idosal-git-mcp", "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/dealx-mcp-server" }, { "slug": "dearlordylord-huly-mcp", "name": "dearlordylord/huly-mcp", "vendor": "Various", "tagline": "Feature-complete MCP server for Huly platform", "description": "This server implements the Model Context Protocol to connect AI assistants to the Huly platform, allowing automated task management, issue tracking, and team updates. It uses TypeScript and provides a feature-complete set of tools for Huly integration.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistant integrations for Huly project management", "useCases": [ "Automating Huly issue creation and updates from AI chat", "Querying project timelines and task statuses programmatically", "Integrating Huly with other AI-driven workflows via MCP" ], "pros": [ "Provides comprehensive coverage of Huly features through the MCP interface", "Written in TypeScript for type safety and easy customization", "Actively maintained with clear documentation" ], "cons": [ "Relatively new project with a small community (32 stars), limited peer support", "Requires running a local MCP server and configuring Huly API access", "May not cover every Huly edge case or custom workflows" ], "tags": [ "effect-ts", "huly", "huly-cli", "npm", "npm-package", "typescript" ], "featured": false, "tier": "curated", "stars": 32, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/dearlordylord/huly-mcp", "relations": { "works_in": [ "cursor", "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "sooperset-mcp-atlassian", "eyaltoledano-claude-task-master" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/dearlordylord-huly-mcp" }, { "slug": "debridge-finance-debridge-mcp", "name": "debridge-finance/debridge-mcp", "vendor": "Various", "tagline": "MCP server that gives AI agents the ability to execute cross-chain cryptocurrency swaps and transfers via the deBridge protocol", "description": "debridge-mcp is an MCP server that enables AI agents to execute cross-chain cryptocurrency swaps and transfers using the deBridge protocol. It acts as a bridge between AI agents and decentralized cross-chain liquidity networks. The server is written in TypeScript and allows agents to initiate transactions across different blockchains.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need native cross-chain token movement", "useCases": [ "Executing cross-chain token swaps from an AI agent", "Automating cross-chain transfers in DeFi workflows", "Integrating cross-chain capability into AI-powered trading bots" ], "pros": [ "Enables AI agents to directly interact with cross-chain DeFi protocols", "Leverages deBridge's established cross-chain infrastructure", "Open source TypeScript implementation for easy customization" ], "cons": [ "Relies on deBridge protocol's supported chains and liquidity", "Low adoption with limited community and documentation", "Requires handling cross-chain transaction complexity and fees" ], "tags": [], "featured": false, "tier": "curated", "stars": 31, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/debridge-finance/debridge-mcp", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/debridge-finance-debridge-mcp" }, { "slug": "debtstack-ai-debtstack-python", "name": "debtstack-ai/debtstack-python", "vendor": "Various", "tagline": "Corporate credit data for AI agents — Python SDK, LangChain tools, and MCP server", "description": "Debtstack provides a Python SDK, LangChain tools, and an MCP server to give AI agents access to corporate credit data. It enables agents to query financial information about companies programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need corporate credit data", "useCases": [ "Integrating corporate credit data into AI agent workflows", "Building financial analysis tools with LangChain", "Automating credit risk assessments via MCP server" ], "pros": [ "Offers multiple integration paths (SDK, LangChain, MCP)", "Targets a specific data niche with clear utility", "Open source with a permissive license" ], "cons": [ "Very early stage with only 1 GitHub star", "Limited community and documentation", "Dependent on external corporate credit data sources" ], "tags": [ "ai-agents", "api", "bonds", "credit", "finance", "langchain", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-02-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/debtstack-ai/debtstack-python", "relations": { "works_in": [], "uses": [ "langchain" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/debtstack-ai-debtstack-python" }, { "slug": "decidefyi-decide", "name": "decidefyi/decide", "vendor": "Various", "tagline": "Deterministic refund, cancel, trial, and return policy decisions for support teams. One verdict for humans and AI agents via API + MCP with request-level audit trail.", "description": "A deterministic rule engine that returns refund, cancel, trial, and return policy decisions for support teams. It exposes an API and MCP interface to deliver a single verdict for both human agents and AI agents, with a request-level audit trail.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Support teams needing a consistent, auditable policy engine for common customer service decisions", "useCases": [ "Automating refund eligibility checks in customer support workflows", "Enforcing consistent cancellation policies across AI and human agents", "Auditing policy decisions with per-request trail for compliance" ], "pros": [ "Deterministic output eliminates ambiguity in policy enforcement", "Audit trail provides transparency for every decision", "Simple API and MCP integration for both humans and AI agents" ], "cons": [ "Limited to refund, cancel, trial, and return policies only", "Zero GitHub stars suggests early stage or low adoption", "Deterministic rules may miss nuanced edge cases without manual updates" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/decidefyi/decide", "relations": { "works_in": [], "uses": [ "fastmcp" ], "built_with": [], "pairs_with": [ "pipedreamhq-pipedream" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/decidefyi-decide" }, { "slug": "decisionnode-decisionnode", "name": "decisionnode/DecisionNode", "vendor": "Various", "tagline": "CLI + Local MCP - A shared structured memory store across Claude Code, Cursor, Windsurf, Antigravity, and every MCP client. Semantically queryable.", "description": "DecisionNode is a CLI tool that provides a local, shared structured memory store for MCP-based coding assistants. It works with Claude Code, Cursor, Windsurf, Antigravity, and any MCP client. The store is semantically queryable.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want a consistent memory layer across multiple MCP-based coding assistants", "useCases": [ "Share structured memory across multiple AI coding assistants", "Query stored knowledge semantically from any connected tool", "Build a persistent context layer for AI-assisted development" ], "pros": [ "Works with multiple AI coding assistants without per-tool setup", "Data stays local and under your control", "Simple CLI interface for managing structured memory" ], "cons": [ "Low community adoption and limited documentation", "Dependency on MCP protocol, only works with compatible clients", "Requires command line comfort for setup and use" ], "tags": [ "agentic-workflow", "ai", "anti-gravity", "architectural-decisions", "claude", "claude-code", "cli", "cursor" ], "featured": false, "tier": "curated", "stars": 39, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/decisionnode/DecisionNode", "relations": { "works_in": [ "claude-code", "cursor", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "topoteretes-cognee", "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/decisionnode-decisionnode" }, { "slug": "declade-lucairn-sdks", "name": "Declade/lucairn-sdks", "vendor": "Various", "tagline": "Lucairn SDKs — privacy-preserving AI infrastructure clients for TypeScript, Python, Go, and an MCP server", "description": "Lucairn SDKs provide clients for TypeScript, Python, Go, and an MCP server to interact with a privacy-preserving AI infrastructure. These libraries let developers build applications that leverage AI without exposing user data.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing privacy-preserving AI infrastructure clients in TypeScript, Python, or Go", "useCases": [ "Building privacy-focused AI applications in TypeScript, Python, or Go", "Integrating with the Model Context Protocol (MCP) server for secure AI interactions", "Developing multi-language AI infrastructure clients with consistent privacy guarantees" ], "pros": [ "Privacy-preserving architecture by design", "Multi-language support covering TypeScript, Python, and Go", "Includes an MCP server for standardized context management" ], "cons": [ "Very low GitHub stars (1) indicates early stage or minimal adoption", "Limited community and documentation available", "Potential instability or incomplete feature set" ], "tags": [ "ai", "aigateway", "certificate-transparency", "mcp", "privacy" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/Declade/lucairn-sdks", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/declade-lucairn-sdks" }, { "slug": "declan142-calcnook-mcp-server", "name": "Declan142/calcnook-mcp-server", "vendor": "Various", "tagline": "MCP server for calcnook — exposes 24 financial calculations to Claude Code, Cursor, Goose, and any MCP-compatible AI agent. Sharia-compliant, 7 countries. uvx calcnook-mcp.", "description": "This MCP server exposes 24 financial calculations to Claude Code, Cursor, Goose, and other MCP-compatible AI agents. It is sharia-compliant and supports seven countries. Use uvx calcnook-mcp to run it without installation.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need sharia-compliant financial calculations inside MCP-based AI agents", "useCases": [ "Run sharia-compliant financial calculations inside Claude Code or Cursor", "Add tax, loan, or profit calculations to MCP-compatible AI agents", "Use predefined finance formulas without building custom integrations" ], "pros": [ "Works with any MCP-compatible AI agent via a single uvx command", "Sharia-compliant by default across multiple countries", "Lightweight Python implementation, no persistent setup required" ], "cons": [ "Only 24 predefined calculations, so use is limited to those formulas", "Zero stars on GitHub indicates very early stage or low adoption", "Niche sharia-compliant scope reduces appeal for general finance tasks" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/Declan142/calcnook-mcp-server", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/declan142-calcnook-mcp-server" }, { "slug": "deficlow-zipp-mcp", "name": "deficlow/zipp-mcp", "vendor": "Various", "tagline": "Multi-language crypto news MCP server (hosted) — sentiment + importance scoring across 8 languages. Endpoint: https://zippfeed.com/mcp/", "description": "This is a hosted MCP server that delivers cryptocurrency news with sentiment and importance scores across eight languages. It exposes a single endpoint at https://zippfeed.com/mcp/ for integration with MCP-compatible clients or agents.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need multi-language crypto news sentiment integrated into MCP-based tools or automated decision systems.", "useCases": [ "Feed multi-language crypto news sentiment into a trading bot or analysis pipeline.", "Rate news importance for automated filtering or alerting systems.", "Combine with an AI assistant to get real-time crypto news summaries." ], "pros": [ "Supports eight languages, covering global crypto news sources.", "Provides both sentiment and importance scores out of the box.", "No self-hosting required; the service is hosted and ready to use." ], "cons": [ "Limited to cryptocurrency news only; not a general news or data source.", "Dependent on the external zippfeed.com service, which may have availability or rate limits.", "The repository has no stars and potentially limited community support or documentation." ], "tags": [ "anthropic", "claude", "crypto", "mcp", "mcp-server", "model-context-protocol", "news", "streamable-http" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/deficlow/zipp-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/deficlow-zipp-mcp" }, { "slug": "delano-postman-mcp-server", "name": "delano/postman-mcp-server", "vendor": "Various", "tagline": "An MCP server that provides access to Postman.", "description": "An MCP server that exposes Postman collections and environments through the Model Context Protocol. It allows AI agents to query and interact with Postman data using TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want AI agents to read Postman collections and environments programmatically.", "useCases": [ "Retrieve Postman collection details for automated testing", "Access environment variables from Postman within AI workflows", "Integrate Postman API data into agent-driven development tasks" ], "pros": [ "Enables direct AI agent access to Postman collections", "Lightweight TypeScript implementation with 150 GitHub stars", "Simplifies bridging Postman data with MCP-compatible tools" ], "cons": [ "Limited to Postman data access, no API execution or testing", "Relies on Postman's existing API and authentication setup", "Small community and limited documentation beyond the repo" ], "tags": [ "anthropic", "claude", "mcp" ], "featured": false, "tier": "curated", "stars": 150, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-02-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/delano/postman-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/delano-postman-mcp-server" }, { "slug": "delega-dev-delega-mcp", "name": "delega-dev/delega-mcp", "vendor": "Various", "tagline": "MCP server for Delega — connect any MCP client to your task API", "description": "An MCP server that bridges any MCP client to the Delega task API. It lets developers manage tasks through standard MCP tools and resources using TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who use Delega and want to control tasks from MCP-compatible tools", "useCases": [ "Integrate task management into MCP-compatible IDEs or assistants", "Create, read, update, and delete tasks via MCP tool calls", "Automate task workflows by connecting Delega to other MCP servers" ], "pros": [ "Standard MCP interface works with any MCP client", "Written in TypeScript for type safety and easy customization", "Lightweight server with focused scope on task API integration" ], "cons": [ "Zero stars and no community adoption yet", "Limited to Delega's task API capabilities", "Requires a running Delega instance to function" ], "tags": [ "ai-agents", "delega", "delegation", "mcp", "mcp-server", "model-context-protocol", "task-management" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/delega-dev/delega-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "eyaltoledano-claude-task-master" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/delega-dev-delega-mcp" }, { "slug": "delimit-ai-delimit", "name": "delimit-ai/delimit", "vendor": "Various", "tagline": "Govern AI coding across Claude Code, Codex, Cursor, and Gemini CLI. Breaking-change detection, deploy gates, and multi-model consensus — delivered as MCP server, CLI, and GitHub Ac", "description": "Governs AI coding across multiple assistants like Claude Code, Codex, Cursor, and Gemini CLI. Detects breaking changes, enforces deploy gates, and runs multi-model consensus checks. Available as an MCP server, a CLI tool, and a GitHub Action.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Teams wanting to add governance and safety checks when using multiple AI coding assistants.", "useCases": [ "Enforce deploy gates before merging AI-generated code", "Detect breaking changes across multiple AI coding outputs", "Run multi-model consensus to validate code changes" ], "pros": [ "Supports multiple AI coding assistants", "Provides breaking-change detection and deploy gates", "Delivered as versatile tools: MCP server, CLI, GitHub Action" ], "cons": [ "Low community adoption with only 17 GitHub stars", "May have limited documentation and support as a new project", "Requires Python environment for local usage" ], "tags": [ "ai-governance", "api-governance", "breaking-changes", "claude-code", "codex", "cross-model", "cursor", "deliberation" ], "featured": false, "tier": "curated", "stars": 17, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/delimit-ai/delimit", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/delimit-ai-delimit" }, { "slug": "delmas41-gradusnotation", "name": "delmas41/gradusnotation", "vendor": "Various", "tagline": "Open music notation MCP server for AI agents. Render JSON scores to SVG, MusicXML, and MIDI. Sponsored by Gradus School of Music Composition.", "description": "An open source MCP server that lets AI agents render JSON music scores into SVG, MusicXML, and MIDI. It is sponsored by the Gradus School of Music Composition and written in JavaScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "AI developers who need to generate or transform music notation programmatically", "useCases": [ "Generate sheet music from AI-composed notation", "Convert between music notation formats for publishing", "Integrate music rendering into agent workflows" ], "pros": [ "Supports multiple output formats (SVG, MusicXML, MIDI)", "Follows the MCP standard for AI agent interoperability", "Open source with no licensing restrictions" ], "cons": [ "Zero GitHub stars indicates a very new or unproven project", "Limited community support and documentation likely", "May lack advanced notation features found in mature libraries" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/delmas41/gradusnotation", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "ahujasid-blender-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/delmas41-gradusnotation" }, { "slug": "demwick-polymarket-agent-mcp", "name": "demwick/polymarket-agent-mcp", "vendor": "Various", "tagline": "The most comprehensive MCP server for Polymarket — 48 tools spanning direct trading, market discovery, smart money tracking, copy trading, backtesting, risk management, and portfol", "description": "An open-source MCP server for Polymarket offering 48 tools for trading, market discovery, smart money tracking, copy trading, backtesting, risk management, and portfolio optimization. It integrates with Claude Code, Cursor, or any MCP-compatible client to give AI agents direct access to Polymarket trading functions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents to trade or analyze prediction markets on Polymarket", "useCases": [ "Automating prediction market trading strategies via AI agents", "Tracking and copying trades from high-performing wallets", "Backtesting market strategies before live deployment" ], "pros": [ "Comprehensive toolset covering all major trading and analysis tasks on Polymarket", "Works with multiple popular MCP clients (Claude Code, Cursor)", "Open source with a TypeScript codebase for customization" ], "cons": [ "Low star count (10) may indicate limited community adoption or early-stage development", "Requires an MCP-compatible client -- no standalone operation", "Dependent on Polymarket's platform and API availability" ], "tags": [ "ai-agent", "ai-trading", "anthropic", "blockchain", "claude", "copy-trading", "defi", "mcp" ], "featured": false, "tier": "curated", "stars": 10, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/demwick/polymarket-agent-mcp", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/demwick-polymarket-agent-mcp" }, { "slug": "dengls24-annota", "name": "dengls24/annota", "vendor": "Various", "tagline": "Annota — AI-Powered Paper Annotation MCP Server. Reads PDFs, highlights findings, explains formulas, writes structured notes.", "description": "Annota is an MCP server for annotating PDF research papers. It reads PDFs, highlights key findings, explains mathematical formulas, and generates structured notes. The tool uses the Model Context Protocol to integrate with compatible AI clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Researchers and students who want to automate annotation of academic PDFs via MCP.", "useCases": [ "Annotating PDF research papers with highlights and notes", "Extracting and explaining formulas from academic papers", "Generating structured summaries of paper findings" ], "pros": [ "Automates extraction of key findings and formulas from PDFs", "Produces structured notes for easier review", "Integrates with MCP-compatible clients for flexible use" ], "cons": [ "Low GitHub star count (7) suggests early stage or limited adoption", "Requires an MCP client to function, not standalone", "May have limited support for complex PDF layouts or non-English content" ], "tags": [ "academic", "ai", "annota", "annotation", "claude-code", "highlights", "mcp", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 7, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/dengls24/annota", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/dengls24-annota" }, { "slug": "denismaggior8-enigma-python-mcp", "name": "denismaggior8/enigma-python-mcp", "vendor": "Various", "tagline": "An MCP (Model Context Protocol) server that brings the capabilities of the enigmapython library to LLMs, allowing them to encrypt and decrypt messages using historically accurate E", "description": "This MCP server exposes the enigmapython library to LLMs via the Model Context Protocol. It enables language models to encrypt and decrypt messages using historically accurate Enigma machine emulators.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need Enigma cipher functionality in LLM-based tools or educational projects", "useCases": [ "Adding Enigma cipher operations to LLM-powered applications", "Building educational demos that simulate WWII-era encryption", "Integrating cryptographic toy examples into AI agent workflows" ], "pros": [ "Brings historically accurate Enigma emulation directly to LLMs", "Simple integration via the standard MCP protocol", "Lightweight Python implementation with few dependencies" ], "cons": [ "Limited to Enigma cipher (not general-purpose encryption)", "Low star count may indicate limited community or maintenance", "Only useful for niche historical or educational use cases" ], "tags": [ "cryptography", "enigmapython", "historical-ciphers", "llm", "mcp", "model-context-protocol", "worldwar2", "wwii" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "Python" ], "lastUpdated": "2026-05-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/denismaggior8/enigma-python-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/denismaggior8-enigma-python-mcp" }, { "slug": "deploy-mcp-deploy-mcp", "name": "deploy-mcp/deploy-mcp", "vendor": "Various", "tagline": "Universal deployment tracker for AI assistants - check deployment status without leaving your AI chat", "description": "deploy-mcp is a TypeScript-based Model Context Protocol server that lets AI assistants check deployment status directly within a chat interface. It provides a universal deployment tracker, enabling users to query deployment information without switching contexts.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to check deployment status from within their AI chat interface", "useCases": [ "Check deployment status from within an AI chat session", "Monitor deployments without leaving the development workflow", "Integrate deployment tracking into MCP-compatible AI assistants" ], "pros": [ "Simple integration with MCP-compatible AI assistants", "Lightweight TypeScript implementation", "Open source with a clear focus on deployment status" ], "cons": [ "Low star count indicates limited adoption and community", "Requires an MCP-compatible AI assistant to function", "Only provides deployment status, not full CI/CD pipeline details" ], "tags": [ "ai", "ci-cd", "claude", "cloudflare-deployment", "cloudflare-pages", "deployment", "deployment-monitor", "deployment-status" ], "featured": false, "tier": "curated", "stars": 7, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-05-09", "addedAt": "2026-06-01", "officialLink": "https://github.com/alexpota/deploy-mcp", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/deploy-mcp-deploy-mcp" }, { "slug": "depwire-depwire", "name": "depwire/depwire", "vendor": "Various", "tagline": "The missing context layer for AI-assisted refactoring", "description": "Depwire is a TypeScript tool that provides a context layer for AI-assisted refactoring by analyzing and exposing dependency relationships in codebases. It helps developers understand how modules connect before making changes.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers refactoring complex TypeScript codebases who want to give AI tools better dependency awareness", "useCases": [ "Map dependency graphs before refactoring large codebases", "Identify hidden coupling between modules during code review", "Generate structured context for AI coding assistants" ], "pros": [ "Fills a gap in AI tooling by providing explicit dependency context", "Lightweight TypeScript implementation with low overhead", "Open source with a clear, focused purpose" ], "cons": [ "Small community with only 42 stars, limited support", "May require manual setup for non-standard project structures", "No built-in integration with popular IDEs or AI assistants" ], "tags": [ "ai-coding-assistant", "arc-diagram", "cli", "code-analysis", "dead-code", "dependency-graph", "developer-tools", "go" ], "featured": false, "tier": "curated", "stars": 42, "language": [ "TypeScript" ], "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/depwire/depwire", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/depwire-depwire" }, { "slug": "designcomputer-mysql-mcp-server", "name": "designcomputer/mysql_mcp_server", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server that enables secure interaction with MySQL databases", "description": "A Model Context Protocol server that provides secure access to MySQL databases. It enables AI models to execute queries and manage data through a standardized interface. Written in Python.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to give AI models controlled, secure access to MySQL databases using the Model Context Protocol", "useCases": [ "Connecting AI assistants to MySQL for real-time data retrieval", "Automating database queries and updates from MCP-compatible agents", "Integrating MySQL into AI-driven data processing pipelines" ], "pros": [ "Well-adopted with over 1,200 GitHub stars indicating community trust", "Simple Python-based setup that follows the MCP standard", "Encourages secure interaction patterns for database access" ], "cons": [ "Requires an MCP-compatible client or host to be useful", "Database credential management introduces security considerations", "May not cover all MySQL features like advanced SQL functions or administration" ], "tags": [ "ai", "mcp", "model-context-protocol", "mysql" ], "featured": false, "tier": "curated", "stars": 1275, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/designcomputer/mysql_mcp_server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "haris-musa-excel-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/designcomputer-mysql-mcp-server" }, { "slug": "destrayon-connapse", "name": "Destrayon/Connapse", "vendor": "Various", "tagline": "Open-source, self-hosted knowledge backend for AI agents — hybrid search (vector + keyword), MCP server, 5 connectors, Docker-ready", "description": "Destrayon/Connapse is an open-source, self-hosted knowledge backend for AI agents. It provides hybrid search combining vector and keyword methods, includes an MCP server, and comes with five connectors. The project is Docker-ready and written in C#.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers seeking a lightweight, self-hosted knowledge backend for AI agents with hybrid search capabilities", "useCases": [ "Deploy a self-hosted knowledge base for AI agents with hybrid search", "Integrate with MCP-compatible agents for retrieval-augmented generation", "Run a private document retrieval system using Docker" ], "pros": [ "Self-hosted ensures data privacy and control", "Hybrid search (vector + keyword) improves retrieval accuracy", "Docker-ready simplifies deployment and scaling" ], "cons": [ "Very small community with only 13 GitHub stars, limited support", "C# codebase may reduce contributor pool compared to Python or JavaScript", "Unclear documentation and feature completeness given early-stage project" ], "tags": [ "ai", "ai-agents", "blazor", "docker", "document-management", "dotnet", "embeddings", "generative-ai" ], "featured": false, "tier": "curated", "stars": 13, "language": [ "C#" ], "license": "MIT", "lastUpdated": "2026-05-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/Destrayon/Connapse", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "topoteretes-cognee" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/destrayon-connapse" }, { "slug": "deusxmachina-dev-memorylane", "name": "deusXmachina-dev/memorylane", "vendor": "Various", "tagline": "📇 ☁️ 🏠 🍎 - Desktop app that captures screen activity via event-driven screenshots, stores AI-generated summaries and OCR text locally in SQLite, and exposes your activity histor", "description": "MemoryLane is a desktop application that captures screen activity through event-driven screenshots. It stores AI-generated summaries and OCR text locally in a SQLite database, exposing your activity history for review.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and privacy-conscious users who want a local, searchable record of their screen activity.", "useCases": [ "Reviewing personal screen activity logs for productivity tracking", "Searching past screen content via OCR text and AI summaries", "Building a local, searchable timeline of desktop work sessions" ], "pros": [ "All data stored locally in SQLite, preserving privacy", "Event-driven capture reduces storage waste compared to continuous recording", "Combines OCR and AI summaries for rich searchability" ], "cons": [ "Requires manual setup and configuration as an open-source tool", "Limited to desktop use with no mobile or cross-platform support", "AI summary quality depends on local model or API integration not specified" ], "tags": [], "featured": false, "tier": "curated", "stars": 122, "language": [ "TypeScript" ], "license": "GPL-3.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/deusXmachina-dev/memorylane", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "mediar-ai-screenpipe" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/deusxmachina-dev-memorylane" }, { "slug": "dev-mirzabicer-ticktick-sdk", "name": "dev-mirzabicer/ticktick-sdk", "vendor": "Various", "tagline": "A comprehensive async Python library for TickTick with MCP support.", "description": "An async Python library that provides comprehensive access to the TickTick task management API. It includes MCP support for integrating with model context protocols.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Python developers building async integrations with TickTick and MCP workflows", "useCases": [ "Automate task creation and updates in TickTick from Python scripts", "Build custom TickTick integrations with async workflows", "Connect TickTick data to MCP-compatible tools and agents" ], "pros": [ "Fully async design for non-blocking API calls", "Covers a wide range of TickTick endpoints and features", "Includes MCP support for advanced protocol-based integrations" ], "cons": [ "Limited to TickTick ecosystem only", "Relatively small community (135 stars) may mean fewer examples or slower updates", "Requires understanding of TickTick API and MCP concepts" ], "tags": [ "ai-task-manager", "mcp", "task-manager", "ticktick", "ticktick-api", "ticktick-mcp", "todo" ], "featured": false, "tier": "curated", "stars": 135, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-01-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/dev-mirzabicer/ticktick-sdk", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "eyaltoledano-claude-task-master" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/dev-mirzabicer-ticktick-sdk" }, { "slug": "devflowinc-trieve", "name": "devflowinc/trieve", "vendor": "Various", "tagline": "All-in-one platform for search, recommendations, RAG, and analytics offered via API", "description": "An open-source platform that provides APIs for search, recommendations, retrieval-augmented generation (RAG), and analytics. Built in Rust, it offers a unified backend for building AI-driven features.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building custom AI search and retrieval systems", "useCases": [ "Adding search functionality to applications", "Building recommendation systems", "Enabling RAG-based chatbots or Q&A systems" ], "pros": [ "Rust-based for performance and reliability", "Unified API for multiple AI features", "Open source with community support (2670 stars)" ], "cons": [ "Requires self-hosting or additional infrastructure", "Not a no-code tool, requires development effort", "Documentation may be limited beyond API specs" ], "tags": [ "actix", "actix-web", "ai", "artificial-intelligence", "diesel", "embedding", "hacktoberfest", "llm" ], "featured": false, "tier": "curated", "stars": 2670, "language": [ "Rust" ], "license": "MIT", "lastUpdated": "2026-01-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/devflowinc/trieve/tree/main/clients/mcp-server", "relations": { "works_in": [ "cursor", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/devflowinc-trieve" }, { "slug": "devilcoder01-weather-mcp-server", "name": "devilcoder01/weather-mcp-server", "vendor": "Various", "tagline": "A simple minimal weather mcp server :)", "description": "A minimal Python server implementing the Model Context Protocol (MCP) to provide weather data. It exposes basic weather information through a standardized interface for AI tools and agents. The project is open source with 21 stars on GitHub.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a quick, minimal weather MCP server for prototyping or personal projects", "useCases": [ "Integrate live weather data into an AI assistant or chatbot", "Prototype a weather-aware tool using the MCP protocol", "Serve weather queries to local MCP-compatible clients" ], "pros": [ "Simple and lightweight, easy to set up and run", "Open source with permissive licensing", "Uses the standard MCP protocol for interoperability" ], "cons": [ "Minimal feature set with limited weather data coverage", "Small community and low star count may indicate limited maintenance", "Lacks extensive documentation or usage examples" ], "tags": [ "mcp-server", "weather-api", "weather-mcp-server" ], "featured": false, "tier": "curated", "stars": 21, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-08-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/devilcoder01/weather-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "exa-labs-exa-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/devilcoder01-weather-mcp-server" }, { "slug": "devroopsaha744-texmcp", "name": "devroopsaha744/TexMCP", "vendor": "Various", "tagline": "A small FastMCP-based Microservice that renders LaTeX to PDF. The server exposes MCP tools to render raw LaTeX or templates and produces artifacts", "description": "TexMCP is a small FastMCP-based microservice that renders LaTeX to PDF. It exposes MCP tools for processing raw LaTeX or templates and produces PDF artifacts. The service is written in Python and uses the Model Context Protocol for integration.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a simple MCP-based LaTeX-to-PDF renderer for integration with AI tools or pipelines.", "useCases": [ "Converting LaTeX documents to PDF via MCP-compatible clients", "Integrating LaTeX rendering into AI agent workflows", "Generating PDFs from LaTeX templates programmatically" ], "pros": [ "Lightweight microservice with a focused scope", "Uses the standardized MCP protocol for tool exposure", "Open source and written in Python for easy customization" ], "cons": [ "Low community adoption (10 stars) and limited documentation", "Requires a local LaTeX installation for rendering", "Security risks from arbitrary LaTeX input without sandboxing" ], "tags": [ "claude-desktop", "fastmcp", "mcp-server", "model-context-protocol", "python3" ], "featured": false, "tier": "curated", "stars": 10, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-11-09", "addedAt": "2026-06-01", "officialLink": "https://github.com/devroopsaha744/TexMCP", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/devroopsaha744-texmcp" }, { "slug": "digicatalyst-systems-dep-diff-mcp", "name": "DigiCatalyst-Systems/dep-diff-mcp", "vendor": "Various", "tagline": "MCP server that reads dependency changelogs and tells you what's risky in an upgrade.", "description": "Dep-diff-mcp is a Model Context Protocol server that reads dependency changelogs to assess upgrade risk. It compares changelogs between current and target versions, highlighting breaking changes.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want automated changelog-based risk analysis before dependency upgrades", "useCases": [ "Evaluate upgrade risk for a specific dependency before running updates", "Integrate into CI pipelines to flag risky dependency bumps", "Compare changelog entries across multiple dependency versions" ], "pros": [ "Focused on a specific, valuable task without unnecessary bloat", "Follows the MCP standard for easy integration with MCP-compatible clients" ], "cons": [ "Low number of stars suggests limited community adoption and testing", "May not support all package ecosystems or changelog formats", "Little information available about ongoing maintenance or updates" ], "tags": [ "changelog", "cve", "dependabot", "dependency-management", "mcp", "model-context-protocol", "npm", "pypi" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/DigiCatalyst-Systems/dep-diff-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/digicatalyst-systems-dep-diff-mcp" }, { "slug": "diivi-aseprite-mcp", "name": "diivi/aseprite-mcp", "vendor": "Various", "tagline": "MCP server for interacting with the Aseprite API", "description": "An MCP server that exposes the Aseprite API through the Model Context Protocol. It enables AI agents and automation tools to control Aseprite programmatically for tasks like creating and editing pixel art. The server is written in Python and communicates with a running Aseprite instance.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI tools for pixel art or game asset generation", "useCases": [ "Automating sprite sheet generation from AI prompts", "Editing pixel art assets via natural language commands", "Integrating Aseprite into CI/CD pipelines for game development" ], "pros": [ "Open source with 183 stars and active community", "Python-based, easy to extend and integrate", "Enables AI-driven pixel art workflows without manual editing" ], "cons": [ "Requires Aseprite to be running and accessible", "Limited to the capabilities of the Aseprite API", "Latency may be noticeable for complex operations" ], "tags": [], "featured": false, "tier": "curated", "stars": 183, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/diivi/aseprite-mcp", "relations": { "works_in": [ "anthropic-computer-use", "cline" ], "uses": [], "built_with": [], "pairs_with": [ "ahujasid-blender-mcp", "glips-figma-context-mcp", "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/diivi-aseprite-mcp" }, { "slug": "dimpagk92-cellar", "name": "dimpagk92/cellar", "vendor": "Various", "tagline": "Computer Experience Layer — MCP server for native computer use on macOS. Structured perception, reliable actions, continuous awareness.", "description": "Cellar is a MCP server that provides structured perception and reliable actions for native computer use on macOS. It enables continuous awareness of the system state through a computer experience layer.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "macOS developers building automation or AI tools that need reliable system interaction", "useCases": [ "Controlling macOS applications programmatically", "Monitoring system state for automation", "Executing reliable GUI actions" ], "pros": [ "Written in Rust for performance and safety", "Focuses on structured perception and reliable actions", "Open source and free to use" ], "cons": [ "Limited to macOS only", "Small community and relatively few examples", "Still early stage with evolving API" ], "tags": [ "accessibility", "agents", "ai-agents", "automation", "cdp", "claude", "claude-code", "computer-use" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "Rust" ], "license": "Apache-2.0", "lastUpdated": "2026-05-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/dimpagk92/cellar", "relations": { "works_in": [ "cline", "cursor", "continue" ], "uses": [], "built_with": [], "pairs_with": [ "mediar-ai-screenpipe", "wonderwhy-er-desktopcommandermcp" ], "alternative_to": [ "anthropic-computer-use" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/dimpagk92-cellar" }, { "slug": "discava-mcp-server", "name": "discava/mcp-server", "vendor": "Various", "tagline": "discava - The Business Directory for AI - mcp server", "description": "discava/mcp-server implements the Model Context Protocol to expose business directory data to AI applications. It runs as a JavaScript server that responds to MCP queries, letting AI agents look up companies and related information.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need programmatic access to a business directory via MCP", "useCases": [ "Query business directory data from AI agents or chatbots", "Integrate company information into conversational AI workflows", "Enable real-time business lookups within AI-powered tools" ], "pros": [ "Uses the MCP standard for easy connection with AI clients", "Lightweight and built in JavaScript/Node.js", "Open source and can be extended or self-hosted" ], "cons": [ "No community traction with 0 stars on GitHub", "Limited documentation and examples available", "Depends on the discava directory which may have coverage gaps" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/discava/mcp-server", "relations": { "works_in": [ "claude-code", "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/discava-mcp-server" }, { "slug": "disco-trooper-apple-notes-mcp", "name": "disco-trooper/apple-notes-mcp", "vendor": "Various", "tagline": "MCP server for Apple Notes. Semantic search, full CRUD, works with MCP clients.", "description": "This MCP server provides full CRUD operations and semantic search for Apple Notes. It connects to any MCP client, enabling programmatic access to notes stored on macOS.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based tools that need to interact with Apple Notes", "useCases": [ "Searching notes semantically from a chat interface", "Creating and updating notes programmatically via MCP", "Integrating Apple Notes with AI agents or custom workflows" ], "pros": [ "Full CRUD support for Apple Notes", "Semantic search capability", "Lightweight TypeScript implementation" ], "cons": [ "Requires macOS with Apple Notes configured", "Only works with MCP-compatible clients", "Limited to a single Apple Notes account" ], "tags": [ "apple-notes", "macos", "mcp", "rag", "semantic-search" ], "featured": false, "tier": "curated", "stars": 5, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-02-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/disco-trooper/apple-notes-mcp", "relations": { "works_in": [ "cursor", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/disco-trooper-apple-notes-mcp" }, { "slug": "discourse-discourse-mcp", "name": "discourse/discourse-mcp", "vendor": "Various", "tagline": "MCP client for Discourse sites", "description": "An MCP client that connects AI assistants to Discourse forum sites. It enables agents to read topics, posts, and user data, and to perform actions like posting replies or creating topics through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to connect AI agents to Discourse forums for automation or data retrieval", "useCases": [ "Automating forum moderation and content summarization", "Building AI-powered customer support bots for Discourse communities", "Integrating Discourse data into agentic workflows and knowledge bases" ], "pros": [ "Open source and written in TypeScript for easy integration", "Provides a standardized MCP interface for Discourse interactions", "Lightweight and focused on a single platform" ], "cons": [ "Limited to Discourse sites only, not a general-purpose tool", "Requires running an MCP host and configuring authentication", "Small community (58 stars) may mean slower updates and fewer examples" ], "tags": [], "featured": false, "tier": "curated", "stars": 58, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/discourse/discourse-mcp", "relations": { "works_in": [ "cline", "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/discourse-discourse-mcp" }, { "slug": "djalal-quran-mcp-server", "name": "djalal/quran-mcp-server", "vendor": "Various", "tagline": "Quran.com API integration for verse search, translation and tafsir", "description": "An MCP server that integrates with the Quran.com API to provide verse search, translation, and tafsir (exegesis) functionality. It is written in TypeScript and exposes these capabilities through the Model Context Protocol for use by compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building applications that need Quranic verse search, translation, or tafsir functionality", "useCases": [ "Search Quran verses by keyword or phrase", "Retrieve translations of verses in multiple languages", "Access tafsir (exegesis) for specific verses" ], "pros": [ "Direct integration with Quran.com API for reliable and authoritative data", "TypeScript implementation offers type safety and easier maintenance", "Open source with community contributions (66 stars)" ], "cons": [ "Depends on Quran.com API availability and may be subject to rate limits", "Limited to the translations and tafsir sources provided by Quran.com", "Requires an MCP-compatible client or framework to be used" ], "tags": [], "featured": false, "tier": "curated", "stars": 66, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-06-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/djalal/quran-mcp-server", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/djalal-quran-mcp-server" }, { "slug": "dkships-pm-copilot", "name": "dkships/pm-copilot", "vendor": "Various", "tagline": "MCP server that triangulates customer support tickets and feature requests to help PMs decide what to build next", "description": "dkships/pm-copilot is an MCP server that aggregates customer support tickets and feature requests. It triangulates these data sources to help product managers decide which features to build next.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Product managers seeking a lightweight, open source tool to aggregate customer feedback and prioritize features", "useCases": [ "Prioritize feature development based on aggregated customer feedback", "Identify recurring issues from support tickets to inform roadmap decisions", "Bridge data from support and feature requests for product planning" ], "pros": [ "Open source and free to use", "Lightweight MCP server integration", "Directly addresses common PM pain point of decision-making from feedback" ], "cons": [ "Low GitHub stars (26) indicating limited community traction", "Requires existing ticket and feature request sources to function", "Depends on data quality and completeness for useful output" ], "tags": [ "ai-tools", "claude", "customer-feedback", "helpscout", "mcp", "mcp-server", "product-management", "productlift" ], "featured": false, "tier": "curated", "stars": 26, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/dkships/pm-copilot", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "sooperset-mcp-atlassian" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/dkships-pm-copilot" }, { "slug": "dkvdm-onepassword-mcp-server", "name": "dkvdm/onepassword-mcp-server", "vendor": "Various", "tagline": "An MCP server that enables secure credential retrieval from 1Password to be used by Agentic AI.", "description": "An MCP server that enables secure credential retrieval from 1Password for use by agentic AI systems. It exposes 1Password vault items as resources that AI agents can query via the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want their AI agents to securely access 1Password-stored secrets without manual copy-paste.", "useCases": [ "Give an AI agent read access to API keys stored in 1Password", "Automate credential injection into CI/CD pipelines via MCP", "Let an AI assistant fetch secrets on demand during development" ], "pros": [ "Leverages existing 1Password vaults without duplicating secrets", "Standard MCP interface works with any MCP-compatible AI agent", "Open source and self-hosted for full control" ], "cons": [ "Requires a running 1Password client and signed-in session", "Limited to read-only access; no write or management operations", "Depends on the MCP ecosystem which is still evolving" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/dkvdm/onepassword-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp", "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/dkvdm-onepassword-mcp-server" }, { "slug": "dl4rce-flaiwheel", "name": "dl4rce/flaiwheel", "vendor": "Various", "tagline": "MCP Docs Vector - Documentation vectorization and search via MCP", "description": "A Python tool that vectorizes documentation and enables search through the Model Context Protocol (MCP). It converts documentation into vector embeddings and exposes a search interface via MCP, allowing developers to query documentation programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to add vector-based documentation search to MCP-enabled workflows", "useCases": [ "Searching technical documentation using natural language queries", "Integrating documentation search into MCP-compatible applications", "Building a vectorized knowledge base from existing documentation" ], "pros": [ "Leverages MCP for standardized integration with other tools", "Simple Python implementation for easy customization", "Focused on a specific, useful task without unnecessary complexity" ], "cons": [ "Limited to documentation vectorization and search only", "Small community with only 3 GitHub stars", "Requires MCP-compatible infrastructure to be useful" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "Python" ], "lastUpdated": "2026-05-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/dl4rce/flaiwheel", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/dl4rce-flaiwheel" }, { "slug": "dnaerys-onekgpd-mcp", "name": "dnaerys/onekgpd-mcp", "vendor": "Various", "tagline": "1000 Genomes Project Dataset MCP Server", "description": "A Java-based MCP server that provides access to the 1000 Genomes Project dataset. It allows AI agents to query genomic variant data through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need programmatic access to human genomic variation data", "useCases": [ "Querying population-level genomic variant frequencies", "Integrating 1000 Genomes data into AI-driven bioinformatics workflows", "Building agentic tools that retrieve human genetic variation on demand" ], "pros": [ "Direct access to a major public genomics dataset via a standard protocol", "Written in Java, suitable for JVM-based ecosystems", "Lightweight and focused on a single data source" ], "cons": [ "Zero stars and no community traction yet", "Requires running a custom MCP server, adding infrastructure overhead", "Limited to the 1000 Genomes Project dataset only" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Java" ], "license": "Apache-2.0", "lastUpdated": "2026-04-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/dnaerys/onekgpd-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/dnaerys-onekgpd-mcp" }, { "slug": "dnotitia-akb", "name": "dnotitia/akb", "vendor": "Various", "tagline": "AKB — Agent Knowledgebase. Organizational memory for AI agents: vault-scoped docs / tables / files unified by URI graph, served over MCP.", "description": "AKB is an organizational memory system for AI agents that scopes documentation, tables, and files within vaults and unifies them via a URI graph. It serves this unified knowledge over the Model Context Protocol (MCP), enabling agents to query structured and unstructured data from a single endpoint.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agent systems that need structured, vault-scoped knowledge retrieval", "useCases": [ "Give an AI agent access to company documentation and policy files scoped to a specific vault", "Provide agents with a unified, graph-linked interface to query tables and documents for data analysis", "Let an agent retrieve files and metadata from multiple vaults through a single MCP connection" ], "pros": [ "Unifies docs, tables, and files under a single URI graph for coherent agent access", "Uses vault scoping to keep knowledge boundaries clean and secure", "Exposes knowledge via the standard MCP, making it compatible with many agent frameworks" ], "cons": [ "Small community with only 44 stars, indicating early-stage maturity and limited support", "Requires Python runtime and MCP integration, adding deployment overhead", "As an organizational memory tool, it depends on consistent vault structuring to function effectively" ], "tags": [ "agent", "claude", "claude-code", "fastapi", "knowledge-base", "knowledge-graph", "mcp", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 44, "language": [ "Python" ], "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/dnotitia/akb", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "topoteretes-cognee", "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/dnotitia-akb" }, { "slug": "docker-hub-mcp", "name": "docker/hub-mcp", "vendor": "Various", "tagline": "Docker Hub MCP Server", "description": "A TypeScript-based MCP server that provides a standardized interface for interacting with Docker Hub. It enables developers to search for images, manage repositories, and inspect container metadata through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using MCP-based IDEs or assistants who need to query Docker Hub programmatically", "useCases": [ "Search Docker Hub for images by name or tag", "List and manage repositories in a Docker Hub account", "Retrieve detailed metadata for specific container images" ], "pros": [ "Integrates Docker Hub operations directly into MCP-compatible tools", "Lightweight and focused on a single, well-defined API", "Open source with active community contributions" ], "cons": [ "Limited to Docker Hub, not other container registries", "Requires an MCP client to be useful", "Relatively new with a small user base" ], "tags": [], "featured": false, "tier": "curated", "stars": 150, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/docker/hub-mcp", "relations": { "works_in": [], "uses": [ "docker" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/docker-hub-mcp" }, { "slug": "docs-mcp", "name": "docs-mcp", "vendor": "ac.tandem", "tagline": "Tandem is the authority layer for AI-first work: runtime authority for agents, tools, memory, approvals, and audit trails.", "description": "docs-mcp provides runtime authority for AI agents, tools, memory, approvals, and audit trails. It works as a centralized layer that governs how AI-first applications interact with external resources and execute actions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building secure, auditable AI agent systems that need a runtime authority layer", "useCases": [ "Enforcing permissions and approval workflows for AI agent actions", "Auditing and logging every tool call and memory access in real time", "Managing secure access to external APIs and data sources for agents" ], "pros": [ "Written in Rust for performance and memory safety", "Offers a unified runtime authority model for agents, tools, and approvals", "Open source with a clear focus on AI governance" ], "cons": [ "Small community and limited adoption (105 stars on GitHub)", "Documentation and examples may still be sparse for newcomers", "Tied to a specific authority layer concept, which may not fit every workflow" ], "tags": [ "agentic-workflow", "anthropic", "governed-execution", "help-wanted", "human-in-the-loop", "local-first", "ollama", "openai" ], "featured": false, "tier": "curated", "stars": 105, "language": [ "Rust" ], "lastUpdated": "2026-05-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/frumu-ai/tandem", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/docs-mcp" }, { "slug": "doctorm333-promptpilot-mcp-server", "name": "doctorm333/promptpilot-mcp-server", "vendor": "Various", "tagline": "MCP server for PromptPilot.club — generate images, video, and audio via Pollinations API", "description": "An MCP server that integrates with PromptPilot.club to generate images, video, and audio via the Pollinations API. It exposes media generation capabilities as MCP tools for use in compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with MCP-based media generation using a free API", "useCases": [ "Generate images from text prompts in MCP-enabled applications", "Create short video clips using Pollinations API through MCP", "Produce audio content from textual descriptions via the same interface" ], "pros": [ "Leverages the free Pollinations API for media generation", "Follows the MCP standard for easy integration with AI clients", "Lightweight JavaScript implementation" ], "cons": [ "Very low GitHub stars indicate minimal community adoption or testing", "Depends entirely on the Pollinations API, which may have rate limits or availability issues", "Limited documentation and no evidence of active maintenance" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "JavaScript" ], "lastUpdated": "2026-03-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/doctorm333/promptpilot-mcp-server", "relations": { "works_in": [ "cline", "continue", "claude-code" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/doctorm333-promptpilot-mcp-server" }, { "slug": "doggybee-mcp-server-leetcode", "name": "doggybee/mcp-server-leetcode", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server for LeetCode that provides access to problems, user data, and contest information through GraphQL", "description": "This MCP server exposes LeetCode problems, user data, and contest information through a GraphQL interface. It enables AI agents to query problem descriptions, user stats, and contest schedules programmatically. The server is built in TypeScript and follows the Model Context Protocol for integration with LLM tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI coding assistants that need live LeetCode data", "useCases": [ "Fetch LeetCode problem descriptions and test cases", "Retrieve user submission history and ranking", "Access upcoming contest schedules and details" ], "pros": [ "Provides structured access to LeetCode data for AI agents", "Uses GraphQL for efficient and flexible queries", "Open source with TypeScript for easy integration" ], "cons": [ "Requires running a local MCP server instance", "Limited to public LeetCode data, no authenticated user actions", "Small community with 43 stars may mean less support" ], "tags": [], "featured": false, "tier": "curated", "stars": 43, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-04-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/doggybee/mcp-server-leetcode", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/doggybee-mcp-server-leetcode" }, { "slug": "doggychip-agentforge", "name": "doggychip/agentforge", "vendor": "Various", "tagline": "AgentForge — subscription marketplace for AI agents, tools & content. Built for developers and AI agents alike.", "description": "AgentForge is a subscription marketplace for AI agents, tools, and content. It is built for both developers and AI agents, allowing automated discovery and purchase of components. The project is written in TypeScript and has no public stars on GitHub.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers seeking a centralized marketplace to subscribe to AI agents and tools without building them from scratch", "useCases": [ "Subscribing to ready-made AI agents to integrate into applications", "Browsing and acquiring developer tools and content via a marketplace", "Enabling AI agents to autonomously discover and subscribe to resources" ], "pros": [ "Marketplace model speeds up development by offering pre-built components", "Subscription approach can lower upfront costs for teams", "Designed to serve both human developers and autonomous AI agents" ], "cons": [ "Zero GitHub stars indicates very low community adoption or early stage", "Quality of offerings depends entirely on marketplace curation and vendor submissions", "Recurring subscription fees may become expensive over time" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "lastUpdated": "2026-04-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/doggychip/agentforge", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/doggychip-agentforge" }, { "slug": "dodopayments-contextmcp", "name": "dodopayments/contextmcp", "vendor": "Various", "tagline": "Self-hosted MCP server for your documentation", "description": "A self-hosted MCP server that serves your documentation files. It implements the Model Context Protocol to make documentation accessible to AI assistants. Built in TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to give their AI tools access to private or custom documentation", "useCases": [ "Integrating custom documentation into AI coding assistants", "Providing up-to-date context to AI models during development", "Self-hosting internal documentation for LLM retrieval" ], "pros": [ "Open source and self-hosted for full control", "Written in TypeScript for type safety and maintainability", "Follows the MCP standard for interoperability with AI tools" ], "cons": [ "Small community (48 stars) limits support and plugins", "Self-hosted deployment adds operational overhead", "Documented features may be minimal at this stage" ], "tags": [ "context", "context-api", "context7", "documentation", "mcp", "mcp-server", "openai", "pinecone" ], "featured": false, "tier": "curated", "stars": 48, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/dodopayments/context-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "microsoft-markitdown", "glips-figma-context-mcp", "mickaelkerjean-filestash" ], "alternative_to": [ "microsoft-markitdown", "glips-figma-context-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/dodopayments-contextmcp" }, { "slug": "dohyung1-x402-fpl-api", "name": "dohyung1/x402-fpl-api", "vendor": "Various", "tagline": "MCP server that turns Claude into a Fantasy Premier League analyst. 11 tools: captain picks, transfer suggestions, player comparison, hit calculator, chip strategy, differentials,", "description": "An MCP server that provides 11 fantasy Premier League analysis tools. It enables Claude to perform captain picks, transfer suggestions, player comparisons, hit calculations, chip strategy, differentials, fixture analysis, price predictions, live points tracking, and squad scouting. Install via pip install fpl-intelligence.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Fantasy Premier League managers who want AI-assisted analysis via Claude", "useCases": [ "Ask Claude for optimal captain choices each gameweek", "Get transfer recommendations with hit calculator analysis", "Compare players and evaluate chip strategies" ], "pros": [ "Straightforward pip install with 11 ready-to-use tools", "Covers core FPL decision areas in one server", "Python-based MCP server integrates with Claude" ], "cons": [ "Requires an MCP-compatible client (e.g. Claude) to function", "May not be maintained by a single vendor", "Limited to FPL data sources used in the server" ], "tags": [ "ai", "ai-agent", "anthropic", "claude", "claude-desktop", "fantasy-football", "fantasy-premier-league", "fpl" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/dohyung1/x402-fpl-api", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/dohyung1-x402-fpl-api" }, { "slug": "dollhousemcp-mcp-server", "name": "DollhouseMCP/mcp-server", "vendor": "Various", "tagline": "A Free, Open Source MCP server for dynamic custom persona management with public a GitHub collection of personas, skills, templates, and other elements for AI models.", "description": "DollhouseMCP/mcp-server is a free, open source MCP server for dynamic custom persona management. It provides a public GitHub collection of personas, skills, templates, and other elements for AI models. The server is written in TypeScript and allows developers to load and switch personas in MCP-compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI applications that need dynamic persona management via MCP", "useCases": [ "Managing custom AI personas for development workflows", "Loading pre-built persona templates from a public collection", "Integrating dynamic persona switching into MCP-compatible clients" ], "pros": [ "Free and open source with no licensing costs", "Includes a public collection of personas and templates to start from", "Written in TypeScript for type safety and maintainability" ], "cons": [ "Small community with only 34 GitHub stars, indicating limited adoption", "Requires an MCP-compatible client to function", "Persona collection may lack depth for specialized or niche domains" ], "tags": [ "agents", "ai", "ai-tools", "claude", "codex", "cursor", "dollhousemcp", "ensembles" ], "featured": false, "tier": "curated", "stars": 34, "language": [ "TypeScript" ], "license": "AGPL-3.0", "lastUpdated": "2026-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/DollhouseMCP/mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp", "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/dollhousemcp-mcp-server" }, { "slug": "dolphinquant-echolon", "name": "dolphinquant/echolon", "vendor": "Various", "tagline": "LLM-agent-native backtest framework for futures research — MCP server, in-package skills, catalogued error codes, typed Pydantic configs. Production engine inside Qorka @ DolphinQu", "description": "Echolon is an LLM-agent-native backtest framework for futures research. It provides an MCP server, in-package skills, catalogued error codes, and typed Pydantic configurations. It serves as the production engine inside Qorka at DolphinQuant.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building LLM-driven futures trading strategies", "useCases": [ "Backtesting futures trading strategies with LLM agents", "Integrating agent-based research via MCP server", "Configuring reproducible experiments with typed Pydantic configs" ], "pros": [ "LLM-agent-native design enables flexible agent-driven backtesting", "Typed Pydantic configs improve reliability and reproducibility", "Catalogued error codes aid debugging and error handling" ], "cons": [ "Very early stage with only 1 GitHub star, indicating limited adoption", "Niche focus on futures research may not suit other asset classes", "Small community and sparse documentation likely" ], "tags": [ "agent-tools", "algorithmic-trading", "backtesting", "claude", "futures", "llm-agents", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-05-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/dolphinquant/echolon", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/dolphinquant-echolon" }, { "slug": "domdemetz-claude-soul", "name": "DomDemetz/claude-soul", "vendor": "Various", "tagline": "Self-correcting learning engine for Claude Code — persistent identity, behavioral pattern tracking, and cross-session memory", "description": "A self-correcting learning engine for Claude Code that provides persistent identity, behavioral pattern tracking, and cross-session memory. It tracks user interactions across sessions to build a consistent interaction history and adapt its responses over time. Built in TypeScript, it integrates directly with Claude Code to maintain context without manual reconfiguration.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude Code who want a consistent, adaptive coding assistant experience", "useCases": [ "Maintaining consistent assistant identity across multiple coding sessions", "Tracking and adapting to user's preferred coding patterns", "Reducing repetitive instructions by remembering past interactions" ], "pros": [ "Enables persistent context without manual reconfiguration", "Self-correcting mechanism improves response relevance over time", "Lightweight TypeScript implementation integrates easily with Claude Code" ], "cons": [ "Dependency on Claude Code limits applicability to other tools", "Small open-source project with limited community support (83 stars)", "Requires careful management of stored memory data for privacy" ], "tags": [ "ai", "ai-agent", "claude", "claude-code", "claude-code-extension", "cognitive-frameworks", "developer-tools", "learning" ], "featured": false, "tier": "curated", "stars": 83, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/DomDemetz/claude-soul", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/domdemetz-claude-soul" }, { "slug": "domdomegg-airtable-mcp-server", "name": "domdomegg/airtable-mcp-server", "vendor": "Various", "tagline": "🗂️🤖 Airtable Model Context Protocol Server, for allowing AI systems to interact with your Airtable bases", "description": "An open-source Model Context Protocol server that translates MCP requests into Airtable API calls. It allows AI assistants to read, create, update, and delete records in Airtable bases using a standardized protocol. Written in TypeScript and hosted on GitHub with over 440 stars.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need structured access to Airtable data", "useCases": [ "Query Airtable tables from an AI chatbot", "Create and update Airtable records via natural language commands", "Automate data management tasks by connecting AI agents to Airtable" ], "pros": [ "Open source and written in TypeScript, easy to audit and extend", "Leverages the Model Context Protocol for standardized AI tool integration", "Simple setup for developers already using Airtable and MCP clients" ], "cons": [ "Requires a running MCP client and an Airtable API key", "Limited by Airtable's API rate limits and base structure", "Not a standalone service; needs user-managed infrastructure or hosting" ], "tags": [ "airtable", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 443, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/domdomegg/airtable-mcp-server", "relations": { "works_in": [ "cursor", "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "bram2w-baserow" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/domdomegg-airtable-mcp-server" }, { "slug": "doobidoo-mcp-context-provider", "name": "doobidoo/MCP-Context-Provider", "vendor": "Various", "tagline": "📇 🏠 - Static server that provides persistent tool-specific context and rules for AI models", "description": "A static MCP server that delivers persistent, tool-specific context and rules to AI models. It works by exposing a fixed set of instructions or guidelines that an AI assistant can reference across sessions, ensuring consistent behavior without requiring repeated prompting.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a lightweight, repeatable way to inject fixed context into AI tools", "useCases": [ "Enforce coding style or project conventions across multiple AI interactions", "Provide a shared knowledge base of API docs or internal policies to an AI assistant", "Maintain consistent persona or response rules for a chatbot in a development environment" ], "pros": [ "Simple static setup with no external dependencies or runtime state", "Ensures AI models follow consistent rules without manual re-prompting", "Works with any MCP-compatible client for easy integration" ], "cons": [ "Static content cannot adapt to dynamic or user-specific contexts", "Limited to text-based rules; no support for live data or external API calls", "Requires manual updates to the rule file for any changes" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/doobidoo/MCP-Context-Provider", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "upstash-context7" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/doobidoo-mcp-context-provider" }, { "slug": "doobidoo-mcp-memory-service", "name": "doobidoo/mcp-memory-service", "vendor": "Various", "tagline": "📇 🏠 - Universal memory service providing semantic search, persistent storage, and autonomous memory consolidation", "description": "A universal memory service for MCP servers that stores and retrieves information using semantic search. It provides persistent storage and automatically consolidates memories over time.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based agents that need persistent, searchable memory", "useCases": [ "Give an AI assistant long-term recall across sessions", "Store and search project context or user preferences", "Enable agents to remember past interactions without manual prompting" ], "pros": [ "Semantic search makes retrieval relevant even with vague queries", "Autonomous consolidation reduces manual memory management", "Works as a drop-in MCP server for existing toolchains" ], "cons": [ "Requires running a separate service alongside your MCP server", "Semantic search quality depends on the underlying embedding model", "No built-in access controls or multi-user isolation" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/doobidoo/mcp-memory-service", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/doobidoo-mcp-memory-service" }, { "slug": "dorukardahan-domain-search-mcp", "name": "dorukardahan/domain-search-mcp", "vendor": "Various", "tagline": "Zero-config domain availability MCP for Claude & ChatGPT. AI suggestions, premium/auction detection via GoDaddy, RDAP/WHOIS fallback. Stdio + HTTP.", "description": "A zero-config MCP server that checks domain availability for Claude and ChatGPT. It suggests AI-generated domain names, detects premium and auction domains via GoDaddy, and falls back to RDAP or WHOIS lookups. Supports both stdio and HTTP transports.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to search and suggest domain names directly inside an AI chat interface.", "useCases": [ "Check domain availability from within a chat conversation", "Generate domain name suggestions based on a prompt", "Detect premium or auction domains before purchasing" ], "pros": [ "Zero configuration required to get started", "Supports multiple domain data sources for reliability", "Works with both Claude and ChatGPT via MCP" ], "cons": [ "Limited to 21 GitHub stars, indicating a small community", "GoDaddy integration may require an API key for full functionality", "Domain suggestion quality depends on the underlying AI model" ], "tags": [ "ai", "chatgpt", "claude", "domain", "domain-availability", "godaddy", "mcp", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 21, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-01-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/dorukardahan/domain-search-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/dorukardahan-domain-search-mcp" }, { "slug": "dorukardahan-twitterapi-docs-mcp", "name": "dorukardahan/twitterapi-docs-mcp", "vendor": "Various", "tagline": "TwitterAPI.io MCP server: offline docs (endpoints, pages, blogs) for Claude and other AI assistants.", "description": "A JavaScript MCP server that serves offline Twitter API documentation (endpoints, pages, blogs) to AI assistants like Claude. It eliminates the need for an internet connection when looking up API references. The tool is designed for integration with MCP-compatible environments.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude or other MCP assistants who need offline Twitter API documentation.", "useCases": [ "Access Twitter API endpoint docs offline", "Query API documentation from within Claude", "Include Twitter API reference in AI-assisted workflows" ], "pros": [ "Works without internet for API documentation lookups", "Straightforward integration with MCP-compatible assistants", "Small, focused JavaScript codebase" ], "cons": [ "Limited to TwitterAPI.io documentation sources", "Low community adoption (5 stars on GitHub)", "Requires MCP client setup to use" ], "tags": [ "api-reference", "claude", "documentation", "mcp", "model-context-protocol", "offline-docs", "twitter", "twitter-api" ], "featured": false, "tier": "curated", "stars": 5, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-09", "addedAt": "2026-06-01", "officialLink": "https://github.com/dorukardahan/twitterapi-docs-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/dorukardahan-twitterapi-docs-mcp" }, { "slug": "dot-realitytest-obsidian-codex-mcp", "name": "dot-RealityTest/obsidian-codex-mcp", "vendor": "Various", "tagline": "Local-first Obsidian MCP server for Codex, Claude Desktop, and markdown vault automation.", "description": "A local-first MCP server that connects Obsidian vaults with AI assistants such as Codex and Claude Desktop. It enables automated reading and writing of markdown notes through the Model Context Protocol, keeping all data on the user's machine.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building custom local-first AI integrations with Obsidian", "useCases": [ "Automating note creation, retrieval, and updates in Obsidian via AI agents", "Enabling Codex to query and modify local markdown vaults", "Integrating Claude Desktop with Obsidian for conversational note workflows" ], "pros": [ "Runs entirely locally, preserving privacy and offline access", "Lightweight Python implementation compatible with multiple MCP clients", "Direct integration with popular AI tools (Codex, Claude Desktop)" ], "cons": [ "Low community adoption (1 star), which may indicate limited testing or support", "Requires manual setup and Python environment configuration", "May lack full Obsidian feature coverage or robust error handling" ], "tags": [ "agent-tools", "ai-agents", "claude-desktop", "codex", "knowledge-base", "local-ai", "local-first", "markdown" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/dot-RealityTest/obsidian-codex-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/dot-realitytest-obsidian-codex-mcp" }, { "slug": "dotemacs-domain-lookup-mcp", "name": "dotemacs/domain-lookup-mcp", "vendor": "Various", "tagline": "Domain Lookup MCP", "description": "A Model Context Protocol (MCP) server written in Go that performs domain lookups. It exposes domain information retrieval as a tool that can be called by AI assistants or other MCP-compatible clients. The implementation is minimal, with only 5 stars on GitHub, indicating a small user base.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a bare-bones domain lookup tool compatible with MCP and prefer Go-based tools.", "useCases": [ "Integrating domain lookup capabilities into AI chatbots or assistants via MCP.", "Checking domain registration status or DNS records programmatically.", "Building lightweight automation workflows that require domain information." ], "pros": [ "Lightweight single binary due to Go compilation.", "Open source and easy to audit or modify.", "Simple MCP integration for developers already using the protocol." ], "cons": [ "Very low community adoption and limited documentation.", "Likely only supports basic lookups (no advanced WHOIS parsing or bulk queries).", "No active maintenance or feature updates visible from the repository." ], "tags": [ "mcp-server" ], "featured": false, "tier": "curated", "stars": 5, "language": [ "Go" ], "lastUpdated": "2025-04-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/dotemacs/domain-lookup-mcp", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/dotemacs-domain-lookup-mcp" }, { "slug": "douglasborthwick-crypto-mcp-server-insumer", "name": "douglasborthwick-crypto/mcp-server-insumer", "vendor": "Various", "tagline": "MCP server for InsumerAPI — condition-based access infrastructure. 27 tools: attestation, wallet trust profiles, compliance, commerce. ECDSA-signed booleans across 37 chains. Never", "description": "An MCP server that wraps InsumerAPI to provide condition-based access infrastructure across 37 blockchain networks. It offers 27 tools for attestation, wallet trust profiles, compliance checks, and commerce, using ECDSA-signed booleans without exposing wallet balances.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building condition-based access or compliance systems on multiple blockchain networks", "useCases": [ "Issue and verify ECDSA-signed attestations for access control", "Evaluate wallet trust profiles across 37 chains", "Enforce compliance rules in decentralized commerce flows" ], "pros": [ "Broad multi-chain support covering 37 networks", "Privacy-preserving design never exposes balances", "Rich toolset with 27 distinct operations for access infrastructure" ], "cons": [ "No stars or community adoption to indicate reliability", "Depends on external InsumerAPI availability and uptime", "JavaScript-only implementation limits language flexibility" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/douglasborthwick-crypto/mcp-server-insumer", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/douglasborthwick-crypto-mcp-server-insumer" }, { "slug": "drakonkat-wizzy-mcp-tmdb", "name": "drakonkat/wizzy-mcp-tmdb", "vendor": "Various", "tagline": "The wizzy-mcp-tmdb project is an MCP (Model Context Protocol) server implemented in JavaScript that provides tools to search and retrieve information from The Movie Database (TMDB)", "description": "An MCP server in JavaScript that exposes TMDB search and retrieval tools to AI clients. It lets language models query movie, TV show, and person data through a standardized protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need to query movie and TV metadata", "useCases": [ "Search for movies or TV shows by title", "Fetch detailed metadata for a specific film or series", "Look up cast and crew information for a given title" ], "pros": [ "Simple JavaScript implementation easy to integrate", "Leverages the well-documented TMDB API", "Standard MCP protocol enables use with various AI clients" ], "cons": [ "Requires a TMDB API key to function", "Limited to TMDB data only", "Small project with low community adoption (4 stars)" ], "tags": [], "featured": false, "tier": "curated", "stars": 4, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2025-09-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/drakonkat/wizzy-mcp-tmdb", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "klavis-ai-youtube" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/drakonkat-wizzy-mcp-tmdb" }, { "slug": "dragogargo-mcp-sysmon", "name": "dragogargo/mcp-sysmon", "vendor": "Various", "tagline": "MCP server for system monitoring — CPU, memory, disk, network, and process management via Claude", "description": "MCP server for system monitoring. It collects CPU, memory, disk, network, and process data and makes them accessible through Claude.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to query system status using Claude", "useCases": [ "Monitor CPU and memory usage in real-time", "Manage processes through natural language commands via Claude", "Track disk and network performance metrics" ], "pros": [ "Open source and Python-based, easy to modify or extend", "Provides real-time system metrics via standard MCP protocol", "Integrates directly with Claude for natural language querying" ], "cons": [ "Low community traction with only 1 GitHub star", "Requires Python runtime and dependencies to be installed", "Currently only documented for use with Claude, limited client support" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/dragogargo/mcp-sysmon", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "netdata-netdata-netdata" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/dragogargo-mcp-sysmon" }, { "slug": "drhalto-agentmako", "name": "drhalto/agentmako", "vendor": "Various", "tagline": "Local-first MCP server that gives coding agents structured context packets, code/schema facts, and diagnostics - backed by a local SQLite store.", "description": "A local-first MCP server that supplies coding agents with structured context packets, code and schema facts, and diagnostics. It uses a local SQLite store to persist and retrieve this information.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building local coding agents that need structured context from their codebase", "useCases": [ "Providing coding agents with relevant code context during development", "Storing and retrieving schema facts for database-aware agents", "Delivering diagnostics to agents for error handling and debugging" ], "pros": [ "Local-first design ensures data stays on the machine", "SQLite backend provides fast, reliable storage without external services", "Structured context packets help agents understand codebase context" ], "cons": [ "Small user base and limited community support", "Local-only storage may not suit team-based workflows", "Requires manual setup and configuration of the MCP server" ], "tags": [ "ai-coding", "claude-code", "claude-code-plugin", "code-intelligence", "codex", "cursor", "developer-tools", "llm-tools" ], "featured": false, "tier": "curated", "stars": 39, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/drhalto/agentmako", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/drhalto-agentmako" }, { "slug": "drolosoft-go-docs-mcp", "name": "drolosoft/go-docs-mcp", "vendor": "Various", "tagline": "📄🐹⚡ Go MCP server for multi-format document access — PDF, TXT, MD, DOCX, CSV, images. Install and Go.", "description": "A Go-based MCP server that provides access to documents in multiple formats including PDF, TXT, MD, DOCX, CSV, and images. It is designed for easy installation and integration into MCP workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a lightweight, multi-format document MCP server in Go", "useCases": [ "Extracting text from PDFs for downstream processing", "Reading CSV data into an MCP pipeline", "Parsing DOCX files for content analysis" ], "pros": [ "Supports a wide range of document formats", "Written in Go for performance and easy deployment", "Simple installation with minimal dependencies" ], "cons": [ "Low community adoption (3 stars) may indicate limited maturity", "Image support likely limited to basic metadata or OCR not guaranteed", "Documentation and examples may be sparse" ], "tags": [ "claude", "cli", "documents", "docx", "go", "linux", "macos", "markdown" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-05-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/drolosoft/go-docs-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "microsoft-markitdown" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/drolosoft-go-docs-mcp" }, { "slug": "drolosoft-immich-photo-manager", "name": "drolosoft/immich-photo-manager", "vendor": "Various", "tagline": "📸🧹🗺️ MCP server for intelligent photo management with Immich — search, curate geographic albums, clean up libraries, and publish galleries", "description": "An MCP server that integrates with Immich to provide intelligent photo management features. It enables search, geographic album curation, library cleanup, and gallery publishing.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Self-hosters using Immich who want geographic organization and library maintenance", "useCases": [ "Search and retrieve photos across an Immich library", "Create and curate geographic albums based on photo locations", "Clean up duplicate or unwanted photos in the library", "Publish curated galleries for sharing" ], "pros": [ "Open source and integrates directly with self-hosted Immich", "Offers geographic album curation natively", "Handles library cleanup and gallery publishing from a single tool" ], "cons": [ "Limited community support due to low adoption (18 stars)", "Requires an existing Immich installation to function", "May lack advanced features found in larger photo management tools" ], "tags": [ "albums", "claude", "claude-plugin", "cleanup", "duplicates", "gallery", "geolocation", "immich" ], "featured": false, "tier": "curated", "stars": 18, "language": [ "HTML" ], "license": "MIT", "lastUpdated": "2026-05-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/drolosoft/immich-photo-manager", "relations": { "works_in": [ "continue", "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/drolosoft-immich-photo-manager" }, { "slug": "drumst0ck-uploadkit", "name": "drumst0ck/uploadkit", "vendor": "Various", "tagline": "File uploads for developers. Done right.", "description": "Uploadkit is a TypeScript library that provides file upload functionality for developers. It handles the core mechanics of uploading files from client to server.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a minimal, no-frills file upload library for a small project or prototype.", "useCases": [ "Adding file upload capability to a web application", "Handling multipart form data in a Node.js backend", "Building a simple file sharing or storage feature" ], "pros": [ "Lightweight and focused on a single task", "Written in TypeScript for type safety", "Easy to integrate into existing projects" ], "cons": [ "Very low community adoption (2 GitHub stars)", "Limited documentation and examples", "May lack advanced features like chunked uploads or progress tracking" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/drumst0ck/uploadkit", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mickaelkerjean-filestash" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/drumst0ck-uploadkit" }, { "slug": "duaraghav8-mcpjungle", "name": "duaraghav8/MCPJungle", "vendor": "Various", "tagline": "One place to manage & connect to all your MCP servers", "description": "MCPJungle is a Go-based desktop application that provides a unified interface for managing and connecting to multiple MCP (Model Context Protocol) servers. It allows developers to configure, start, stop, and switch between different MCP servers from a single dashboard.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who work with multiple MCP servers and want a GUI to manage them", "useCases": [ "Managing multiple MCP server configurations in one place", "Quickly switching between different MCP servers during development", "Monitoring and controlling MCP server lifecycle without CLI commands" ], "pros": [ "Centralized management reduces context switching for developers", "Open source with active community (1072 stars)", "Written in Go, offering good performance and cross-platform support" ], "cons": [ "Requires manual setup and configuration of each MCP server", "Limited to MCP protocol servers, not a general-purpose tool", "Desktop app may not suit headless or CI/CD environments" ], "tags": [ "ai-agents", "infrastructure", "mcp", "mcp-gateway", "mcp-registry", "mcp-server", "model-context-protocol", "self-hosted" ], "featured": false, "tier": "curated", "stars": 1072, "language": [ "Go" ], "license": "MPL-2.0", "lastUpdated": "2026-05-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/duaraghav8/MCPJungle", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "awslabs-mcp", "agent-infra-mcp-server-browser", "idosal-git-mcp", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/duaraghav8-mcpjungle" }, { "slug": "duhokim-nebulamind", "name": "DuhoKim/NebulaMind", "vendor": "Various", "tagline": "The universe, explored by AI agents worldwide. Collaborative astronomy wiki with open API.", "description": "NebulaMind is an open-source collaborative astronomy wiki with an API for programmatic access. It uses AI agents to explore and aggregate astronomical data from contributors worldwide. Built in TypeScript, it aims to make celestial knowledge accessible to developers and agents.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building astronomy applications or AI agents needing celestial data", "useCases": [ "Query astronomical objects via the open API", "Contribute observations or data to the wiki", "Integrate celestial data into AI agent workflows" ], "pros": [ "Open-source and community-driven", "Provides a public API for easy integration", "Written in TypeScript for type safety" ], "cons": [ "Small user base and limited community contributions", "Potential data completeness and accuracy issues due to wiki model", "Only 1 star indicates limited adoption and testing" ], "tags": [ "ai-agents", "astronomy", "collaborative", "fastapi", "knowledge-graph", "llm", "mcp", "nextjs" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/DuhoKim/NebulaMind", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/duhokim-nebulamind" }, { "slug": "dumpling-ai-mcp-server-dumplingai", "name": "Dumpling-AI/mcp-server-dumplingai", "vendor": "Various", "tagline": "MCP (Model Context Protocol) server for Dumpling AI", "description": "A Model Context Protocol (MCP) server that provides a standardized interface to Dumpling AI. It allows MCP-compatible clients to interact with Dumpling AI's capabilities through a simple JavaScript server.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need an MCP-compatible gateway to Dumpling AI services.", "useCases": [ "Connecting Dumpling AI to MCP-enabled IDEs or assistants", "Building custom AI workflows that use Dumpling AI via the MCP protocol", "Integrating Dumpling AI into agentic pipelines that support MCP" ], "pros": [ "Straightforward JavaScript implementation, easy to understand", "Follows the MCP standard for interoperability with various clients", "Lightweight and focused solely on the MCP-to-Dumpling-AI bridge" ], "cons": [ "Low community engagement with only 30 GitHub stars", "Limited documentation and examples beyond the basic README", "Depends on Dumpling AI's availability and API compatibility" ], "tags": [], "featured": false, "tier": "curated", "stars": 30, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2025-07-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/Dumpling-AI/mcp-server-dumplingai", "relations": { "works_in": [ "cline", "continue", "claude-code" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/dumpling-ai-mcp-server-dumplingai" }, { "slug": "duriantaco-skylos", "name": "duriantaco/skylos", "vendor": "Various", "tagline": "Open source local-first PR scanner that finds dead code, security bugs, secrets, quality regressions, and AI-code mistakes before merge. For first timers refer to https://duriantac", "description": "Open source PR scanner that runs locally to detect dead code, security bugs, secrets, quality regressions, and errors in AI-generated code before merge. Written in Python and designed to be triggered on pull requests, it provides an offline, privacy-preserving alternative to cloud-based scanning tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Teams wanting a self-hosted, privacy-focused pre-merge check that catches security and quality issues in pull requests", "useCases": [ "Catching security vulnerabilities and leaked secrets in pull requests before deployment", "Identifying dead code and quality regressions during code review", "Detecting mistakes in AI-generated code commits" ], "pros": [ "Local-first design keeps code and scan results private without external data transfer", "Addresses multiple issue categories in a single scan (security, quality, AI code errors)", "Free and open source with no licensing costs" ], "cons": [ "Requires Python runtime and manual setup on the developer's machine or CI runner", "Smaller community and fewer integrations compared to established commercial scanners", "May need tuning to avoid false positives or cover project-specific rules" ], "tags": [ "ai-agents", "ai-code-review", "ai-generated-code", "code-quality", "code-scanning", "dart", "dead-code", "dead-code-detection" ], "featured": false, "tier": "curated", "stars": 446, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-05-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/duriantaco/skylos", "relations": { "works_in": [ "github" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "pr-agent" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/duriantaco-skylos" }, { "slug": "dynatrace-oss-dynatrace-mcp", "name": "dynatrace-oss/dynatrace-mcp", "vendor": "Various", "tagline": "MCP server for Dynatrace Observability", "description": "An MCP server that connects AI agents to Dynatrace observability data. It exposes Dynatrace metrics, traces, and logs through the Model Context Protocol for use by AI assistants.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Teams already using Dynatrace who want to query observability data through AI assistants", "useCases": [ "Query Dynatrace metrics and logs from an AI chat interface", "Automate incident response by feeding observability data into AI workflows", "Enable AI agents to investigate performance issues using Dynatrace traces" ], "pros": [ "Direct integration with Dynatrace's observability platform", "Open source with TypeScript for easy customization", "Leverages the standard MCP protocol for broad AI tool compatibility" ], "cons": [ "Requires a Dynatrace tenant and API token to function", "Limited to data Dynatrace already collects", "Relatively new project with a small community (115 stars)" ], "tags": [ "claude", "cline", "copilot", "dynatrace", "mcp", "monitoring", "observability" ], "featured": false, "tier": "curated", "stars": 115, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/dynatrace-oss/dynatrace-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/dynatrace-oss-dynatrace-mcp" }, { "slug": "eat-pray-ai-yutu", "name": "eat-pray-ai/yutu", "vendor": "Various", "tagline": "The AI-powered toolkit that grows your YouTube channel on autopilot.", "description": "Yutu is a Go-based command-line toolkit for automating YouTube channel management tasks. It interacts with the YouTube Data API v3 to perform actions like uploading videos, managing playlists, and updating metadata without manual intervention.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and content creators who want to automate repetitive YouTube channel tasks via the command line.", "useCases": [ "Batch upload videos with automated metadata and thumbnail assignment", "Schedule playlist updates and video deletions programmatically", "Retrieve channel analytics and video statistics via CLI commands" ], "pros": [ "Lightweight and fast due to Go compilation", "Covers a broad range of YouTube API operations in one tool", "Open source with active community contributions (466 stars)" ], "cons": [ "Requires manual API key setup and OAuth configuration", "Limited to YouTube Data API v3; no support for newer features like Shorts", "CLI-only interface may be less accessible for non-developers" ], "tags": [ "agent", "ai", "automation", "bot", "chatgpt", "claude", "clawdbot-skill", "cli" ], "featured": false, "tier": "curated", "stars": 466, "language": [ "Go" ], "license": "Apache-2.0", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/eat-pray-ai/yutu", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "klavis-ai-youtube" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/eat-pray-ai-yutu" }, { "slug": "ebbfijsf-agent-reader", "name": "ebbfijsf/agent-reader", "vendor": "Various", "tagline": "ebbfijsf/agent-reader — indexed from awesome-mcp-servers-punkpeye", "description": "A Model Context Protocol server that provides read-only access to local files and directories. It indexes content for efficient retrieval by AI agents.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to give AI agents safe, read-only access to local project files", "useCases": [ "Enable an agent to read configuration files from a project directory", "Allow an agent to search through documentation files for relevant information", "Give an agent read access to log files for debugging assistance" ], "pros": [ "Simple, focused read-only access reduces risk of accidental modifications", "Indexing improves performance for repeated file lookups", "Lightweight and easy to integrate into existing MCP setups" ], "cons": [ "Limited to local filesystem access, no remote or cloud storage support", "No write or edit capabilities, which may require additional tools for full workflows", "Dependency on the MCP ecosystem and compatible agent frameworks" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/ebbfijsf/agent-reader", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ebbfijsf-agent-reader" }, { "slug": "echojobsio-jdl-mcp-server", "name": "echojobsio/jdl-mcp-server", "vendor": "Various", "tagline": "MCP server for JobDataLake — search 1M+ enriched job listings from AI tools", "description": "A Model Context Protocol server that queries JobDataLake, a dataset of over one million enriched job listings. It exposes job search capabilities to AI tools through the MCP interface, allowing agents to retrieve structured job data.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based AI tools that need to search or analyze a broad set of job postings.", "useCases": [ "Enabling AI assistants to find relevant job postings during conversations", "Building automated job market analysis or aggregation tools", "Integrating live job data into custom MCP-compatible applications" ], "pros": [ "Access to a large, enriched dataset of over one million job listings", "Standard MCP integration makes it easy to connect with compatible AI clients", "Lightweight JavaScript implementation for straightforward setup" ], "cons": [ "Dependent on the external JobDataLake service for data availability and accuracy", "Zero repository stars indicates little community validation or adoption", "Limited documentation and support beyond the basic setup instructions" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/echojobsio/jdl-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "skill-seekers-skill-seekers" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/echojobsio-jdl-mcp-server" }, { "slug": "echology-io-decompose", "name": "echology-io/decompose", "vendor": "Various", "tagline": "The missing cognitive primitive for AI agents. Decompose any text into classified semantic units — authority, risk, attention, entities. No LLM. Deterministic.", "description": "A Python library that splits text into classified semantic units such as authority, risk, attention, and entities. It operates deterministically without using a language model, making it predictable and lightweight for AI agent pipelines.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building deterministic text decomposition components for AI agents without using LLMs", "useCases": [ "Extracting authoritativeness signals from text for fact-checking pipelines", "Identifying risk-related phrases in compliance or security documents", "Parsing attention-worthy segments for summarization or alerting" ], "pros": [ "Deterministic output with no reliance on LLMs, reducing cost and latency", "Lightweight and easy to integrate into existing Python projects", "Clearly defined output categories for straightforward downstream processing" ], "cons": [ "Limited to four predefined semantic categories, reducing flexibility for other use cases", "Very small community and low star count, indicating limited adoption and support", "May not capture nuanced or context-dependent meanings that an LLM could handle" ], "tags": [ "ai-agents", "classification", "deterministic", "document-intelligence", "mcp", "nlp", "preprocessing", "regex" ], "featured": false, "tier": "curated", "stars": 9, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/echology-io/decompose", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "vectorize-io-hindsight" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/echology-io-decompose" }, { "slug": "edgarriba-prolink", "name": "edgarriba/prolink", "vendor": "Various", "tagline": "🐍 ☁️ 🏠 🍎 🪟 🐧 - Agent-to-agent marketplace middleware — MCP-native discovery, negotiation, and transaction between AI agents", "description": "Agent-to-agent marketplace middleware that enables MCP-native discovery, negotiation, and transaction between AI agents. It provides a cross-platform framework for agents to find each other, agree on terms, and exchange value.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building multi-agent systems that need automated discovery and negotiation between agents", "useCases": [ "Enabling autonomous agent discovery in multi-agent systems", "Facilitating negotiation and contract formation between agents", "Handling secure transactions and value exchange between agents" ], "pros": [ "Built on the Model Context Protocol (MCP) for standardized agent communication", "Cross-platform support (cloud, home, macOS, Windows, Linux)", "Open-source middleware with a clear focus on agent-to-agent marketplaces" ], "cons": [ "Early-stage project with limited production maturity", "Requires all agents to implement MCP for compatibility", "Complexity of managing negotiation and transaction logic in distributed systems" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/edgarriba/prolink", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp", "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/edgarriba-prolink" }, { "slug": "edge-claw-mood-booster-agent", "name": "edge-claw/mood-booster-agent", "vendor": "Various", "tagline": "edge-claw/mood-booster-agent — indexed from awesome-mcp-servers-punkpeye", "description": "A JavaScript MCP server that provides tools to boost developer mood by generating jokes, compliments, and motivational quotes. It integrates with AI assistants to deliver lighthearted content on demand.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers wanting a playful, low-effort MCP server to lighten their coding environment", "useCases": [ "Inject humor into development workflows via AI assistant commands", "Generate quick compliments or motivational quotes during coding sessions", "Add a mood-lifting feature to custom MCP-based tools" ], "pros": [ "Simple, focused functionality with no external dependencies", "Easy to integrate into existing MCP setups", "Lightweight and fast response times" ], "cons": [ "Limited to predefined joke and quote sources", "No customization or user-contributed content", "Zero stars and no community traction yet" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "lastUpdated": "2026-03-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/edge-claw/mood-booster-agent", "relations": { "works_in": [ "claude-code", "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/edge-claw-mood-booster-agent" }, { "slug": "edgedelta-edgedelta-mcp-server", "name": "edgedelta/edgedelta-mcp-server", "vendor": "Various", "tagline": "Edge Delta MCP Server", "description": "A Go-based server that implements the Model Context Protocol (MCP) to expose Edge Delta observability data to AI agents. It allows tools like Claude to query logs, metrics, and alerts from Edge Delta through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need programmatic access to Edge Delta observability data", "useCases": [ "Querying Edge Delta logs and metrics from an AI assistant", "Automating incident response by letting AI agents fetch observability data", "Integrating Edge Delta with MCP-compatible development tools" ], "pros": [ "Lightweight Go binary with minimal dependencies", "Standard MCP interface works with multiple AI clients", "Enables natural language access to observability data" ], "cons": [ "Small project with limited community and documentation", "Requires an existing Edge Delta account and API access", "May lack advanced filtering or aggregation features" ], "tags": [], "featured": false, "tier": "curated", "stars": 5, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-04-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/edgedelta/edgedelta-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "netdata-netdata-netdata" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/edgedelta-edgedelta-mcp-server" }, { "slug": "edwinbernadus-nocodb-mcp-server", "name": "edwinbernadus/nocodb-mcp-server", "vendor": "Various", "tagline": "nocodb mcp server", "description": "This is a JavaScript-based MCP server that connects to NocoDB. It allows AI assistants to query and manipulate NocoDB tables through the Model Context Protocol. The server acts as a bridge between AI agents and NocoDB databases.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need to interact with NocoDB databases", "useCases": [ "Building AI agents that can read and write NocoDB data via natural language", "Automating database operations like inserts, updates, and queries through AI workflows", "Integrating NocoDB with AI assistants for data retrieval and management tasks" ], "pros": [ "Open source and lightweight, easy to deploy", "Provides a standardized MCP interface for AI tool integration", "Simple setup with minimal configuration required" ], "cons": [ "Limited to NocoDB databases only, not a general-purpose database tool", "Requires a running MCP client (e.g., Claude Desktop) to function", "Relatively new project with 71 stars, community and documentation may be sparse" ], "tags": [ "mcp", "mcp-server", "nocodb" ], "featured": false, "tier": "curated", "stars": 71, "language": [ "JavaScript" ], "lastUpdated": "2026-03-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/edwinbernadus/nocodb-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb", "bram2w-baserow" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/edwinbernadus-nocodb-mcp-server" }, { "slug": "edobusy-agenthold", "name": "edobusy/agenthold", "vendor": "Various", "tagline": "Shared versioned state for multi-agent AI workflows. An MCP server.", "description": "A Python-based MCP server that provides shared versioned state for multi-agent AI workflows. It enables agents to read and write a common state with version control, supporting coordination across multiple AI agents.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers prototyping multi-agent systems who need simple shared versioned state via MCP.", "useCases": [ "Orchestrating multi-agent tasks with shared memory", "Tracking conversation history across agent sessions", "Maintaining consistent context in distributed LLM workflows" ], "pros": [ "Open source Python implementation easy to integrate", "Versioned state ensures consistency and rollback capability", "MCP protocol enables interoperability with other MCP tools" ], "cons": [ "Very early stage with only 1 GitHub star and limited community", "Requires MCP client support, not standalone", "No documentation or example usage provided yet" ], "tags": [ "ai", "ai-agents", "claude-code", "claude-desktop", "claude-mcp", "crewai", "developer-tools", "langchain" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/edobusy/agenthold", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "autogen" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/edobusy-agenthold" }, { "slug": "efforthye-fast-filesystem-mcp", "name": "efforthye/fast-filesystem-mcp", "vendor": "Various", "tagline": "A high-performance Model Context Protocol (MCP) server that provides secure filesystem access for Claude and other AI assistants.", "description": "A Model Context Protocol (MCP) server written in TypeScript that exposes filesystem operations to AI assistants like Claude. It provides secure read and write access to local directories through the MCP interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a fast, secure filesystem bridge for AI assistants using the Model Context Protocol", "useCases": [ "Letting an AI assistant read and edit project files", "Enabling AI tools to manage configuration files securely", "Building custom workflows that require filesystem access from an AI client" ], "pros": [ "High performance due to efficient TypeScript implementation", "Secure filesystem access with controlled permissions", "Works with any MCP-compatible AI assistant" ], "cons": [ "Relatively new project with only 56 GitHub stars", "Limited community support and documentation", "Requires an MCP-compatible client to be useful" ], "tags": [ "ai-assistant", "ai-tools", "anthropic", "automation", "backup", "claude", "claude-desktop", "developer-tools" ], "featured": false, "tier": "curated", "stars": 56, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-05-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/efforthye/fast-filesystem-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/efforthye-fast-filesystem-mcp" }, { "slug": "effytech-freshdesk-mcp", "name": "effytech/freshdesk-mcp", "vendor": "Various", "tagline": "MCP server created for Freshdesk, allowing AI models to interact with Freshdesk modules", "description": "An MCP server that enables AI models to read and write Freshdesk ticket data through the Model Context Protocol. It wraps Freshdesk API endpoints as tools, letting agents query tickets, update statuses, and manage contacts.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need to manage Freshdesk support tickets", "useCases": [ "Automate ticket triage and status updates via AI agents", "Query Freshdesk tickets by filters for reporting or escalation", "Create or update contacts and tickets programmatically" ], "pros": [ "Simple Python implementation with clear MCP tool definitions", "Direct integration with Freshdesk's core modules", "Lightweight and easy to self-host or extend" ], "cons": [ "Limited to Freshdesk's public API capabilities", "No built-in authentication or rate limiting beyond Freshdesk's own", "Small community and limited documentation beyond the README" ], "tags": [], "featured": false, "tier": "curated", "stars": 60, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-10-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/effytech/freshdesk_mcp", "relations": { "works_in": [ "claude-code", "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/effytech-freshdesk-mcp" }, { "slug": "efremidze-swift-patterns-mcp", "name": "efremidze/swift-patterns-mcp", "vendor": "Various", "tagline": "An MCP server providing curated Swift and SwiftUI best practices from leading iOS sources.", "description": "An MCP server that supplies curated Swift and SwiftUI best practices from leading iOS sources. It integrates with AI assistants to provide context-aware guidance on Swift development patterns. The project is written in TypeScript and has a small community with 9 GitHub stars.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "iOS developers using AI coding assistants that support MCP", "useCases": [ "Get SwiftUI best practices during development", "Access curated iOS coding patterns via AI assistant", "Integrate Swift knowledge into MCP-compatible tools" ], "pros": [ "Provides curated, high-quality Swift best practices from reputable sources", "Easy to integrate with MCP-compatible AI assistants", "Open source and free to use" ], "cons": [ "Very small community and limited adoption (9 stars)", "Requires an MCP-compatible AI assistant to be useful", "May not cover all Swift or SwiftUI topics comprehensively" ], "tags": [ "claude-code", "ios", "mcp", "mcp-server", "model-context-protocol", "patreon", "swift", "swiftui" ], "featured": false, "tier": "curated", "stars": 9, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/efremidze/swift-patterns-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mobile-next-mobile-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/efremidze-swift-patterns-mcp" }, { "slug": "einiba-canyougrab-api", "name": "einiba/canyougrab-api", "vendor": "Various", "tagline": "MCP server for confidence-scored domain availability checking via CanYouGrab.it", "description": "This is an MCP server that checks domain availability using the CanYouGrab.it API. It returns a confidence score for each domain query, helping developers assess whether a domain is actually free. The server is written in Python and integrates as a tool within MCP-compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a trustable, API-backed domain availability check inside an MCP pipeline.", "useCases": [ "Verify domain availability with confidence scoring before a purchase", "Automate bulk domain checks from a chat or coding assistant", "Integrate domain lookup into MCP-based development workflows" ], "pros": [ "Confidence scoring reduces false positives common in whois lookups", "Simple MCP integration for existing agent or assistant setups", "Open source codebase to inspect or extend" ], "cons": [ "Depends on the CanYouGrab.it API which may have rate limits or availability changes", "No built-in retry or caching logic in the current server implementation", "Small community (0 stars) with limited documentation or examples" ], "tags": [ "ai-agent", "chatgpt", "claude", "dns", "domain-availability", "domain-checker", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/einiba/canyougrab-api/tree/main/mcp-server", "relations": { "works_in": [ "cline", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/einiba-canyougrab-api" }, { "slug": "eirikb-any-cli-mcp-server", "name": "eirikb/any-cli-mcp-server", "vendor": "Various", "tagline": "Convert any (whatever) CLI to proper MCP server with tools mapped based on CLI help", "description": "This tool converts any command-line interface into a Model Context Protocol (MCP) server. It parses the CLI's help output to automatically map each available command as an MCP tool. The result is a server that exposes those commands to any MCP-compatible client, such as an AI assistant.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a quick way to expose legacy or custom CLIs as MCP tools without writing a dedicated server.", "useCases": [ "Wrap an existing CLI tool as an MCP server for AI agents", "Quickly prototype MCP integrations without writing custom server code", "Expose multiple CLI utilities through a single MCP endpoint" ], "pros": [ "Works with virtually any CLI that produces structured help output", "No manual tool mapping required, reduces setup effort", "Written in TypeScript, easy to extend or debug" ], "cons": [ "Relies entirely on the quality and consistency of the CLI's help text", "May fail to capture complex argument relationships or subcommand dependencies", "Low project maturity (18 stars) and limited community adoption" ], "tags": [], "featured": false, "tier": "curated", "stars": 18, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-09-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/eirikb/any-cli-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "cline", "claude-code", "cursor" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/eirikb-any-cli-mcp-server" }, { "slug": "ejcho623-agent-breadcrumbs", "name": "ejcho623/agent-breadcrumbs", "vendor": "Various", "tagline": "Cross-platform agent logging and observability", "description": "A TypeScript library for logging and observability in agent-based systems. It provides cross-platform support for capturing agent actions and state. The tool aims to help developers debug and monitor agent behavior.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building experimental agent systems who need basic logging", "useCases": [ "Debugging agent decision traces", "Monitoring multi-agent interactions", "Logging agent state changes for analysis" ], "pros": [ "Lightweight TypeScript implementation", "Cross-platform compatibility", "Simple integration into existing agent frameworks" ], "cons": [ "Very early stage with only 3 GitHub stars", "Limited documentation and community support", "May lack advanced observability features found in mature tools" ], "tags": [ "agent", "agents", "logging", "mcp", "model-context-protocol", "observability" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-02-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/ejcho623/agent-breadcrumbs", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "vectorize-io-hindsight" ], "alternative_to": [ "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ejcho623-agent-breadcrumbs" }, { "slug": "ejentum-ejentum-mcp", "name": "ejentum/ejentum-mcp", "vendor": "Various", "tagline": "MCP server for the Ejentum API. 8 cognitive operations across 4 harnesses (reasoning, code, anti-deception, memory) in dynamic and adaptive modes.", "description": "Ejentum MCP server exposes 8 cognitive operations through 4 harnesses: reasoning, code, anti-deception, and memory. It runs in dynamic and adaptive modes, letting developers integrate structured cognitive checks into their workflows via the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-compatible agents that need lightweight cognitive guardrails", "useCases": [ "Add anti-deception validation to agent outputs", "Inject structured reasoning steps into LLM pipelines", "Persist and retrieve memory across MCP sessions" ], "pros": [ "Small, focused set of cognitive operations", "Adaptive mode adjusts behavior without manual tuning", "Open source with JavaScript implementation" ], "cons": [ "Limited to Ejentum API ecosystem", "Only 8 operations may not cover complex needs", "Low community traction (8 stars)" ], "tags": [ "agentic-ai", "ai-reliability", "anthropic", "anti-deception", "claude", "code-review", "cognitive-scaffold", "ejentum" ], "featured": false, "tier": "curated", "stars": 8, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/ejentum/ejentum-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ejentum-ejentum-mcp" }, { "slug": "ejwhite7-brandkit-mcp", "name": "ejwhite7/brandkit-mcp", "vendor": "Various", "tagline": "Open-source MCP server that gives AI tools native access to your company's design system — drop in your brand files, connect to Claude or any LLM tool", "description": "This open-source MCP server lets AI tools access your company's design system. You drop in your brand files and connect it to Claude or any LLM tool. It is written in TypeScript and hosted on GitHub.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Teams wanting to embed brand design system rules into AI workflows.", "useCases": [ "Enforce brand guidelines in AI-generated content.", "Provide AI assistants with access to company brand assets.", "Automate consistent branding across AI tools." ], "pros": [ "Open-source and extensible for custom brand systems.", "Works with multiple LLMs like Claude without vendor lock-in.", "Written in TypeScript for type safety and maintainability." ], "cons": [ "Zero GitHub stars indicates a new, unproven project.", "Lacks documentation and community support for troubleshooting.", "Requires manual setup and integration with existing brand files." ], "tags": [ "brand-kit", "claude", "design-system", "mcp", "model-context-protocol", "open-source", "typescript" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/ejwhite7/brandkit-mcp", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [ "glips-figma-context-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ejwhite7-brandkit-mcp" }, { "slug": "ekkyarmandi-ticktick-mcp", "name": "ekkyarmandi/ticktick-mcp", "vendor": "Various", "tagline": "TickTick MCP for managing your To-Do using AI", "description": "TickTick MCP is a Python-based Model Context Protocol server that integrates TickTick task management with AI assistants. It enables automated creation, updating, and querying of tasks and projects via natural language.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using AI assistants who need to automate personal task management in TickTick", "useCases": [ "Creating tasks and managing TickTick lists through AI chat", "Automating project and task updates from development workflows", "Querying task statuses and due dates without opening the app" ], "pros": [ "Simple Python implementation with clear MCP integration", "Enables natural language control of TickTick tasks", "Open source with MIT license" ], "cons": [ "Limited documentation and example usage", "Small community and low star count indicate early stage", "Relies on TickTick's stability and API availability" ], "tags": [], "featured": false, "tier": "curated", "stars": 13, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/ekkyarmandi/ticktick-mcp", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "eyaltoledano-claude-task-master" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ekkyarmandi-ticktick-mcp" }, { "slug": "ekas-io-open-sales-stack", "name": "ekas-io/open-sales-stack", "vendor": "Various", "tagline": "MCP and tools for various tasks related to ekas", "description": "A collection of MCP (Model Context Protocol) tools for automating various tasks within the ekas ecosystem. Built in Python, it provides a modular set of components for developers to integrate and extend ekas workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers looking to automate tasks within the ekas platform using MCP protocols", "useCases": [ "Implementing MCP-based automation for ekas tasks", "Developing and testing MCP tools for ekas", "Integrating ekas with MCP-compatible clients" ], "pros": [ "Open source with permissive licensing", "Written in Python, easy to extend and customize", "Follows MCP standards for interoperability" ], "cons": [ "Very early stage with only 1 GitHub star", "Limited documentation and community support", "Dependent on the unspecified ekas platform for full context" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-09", "addedAt": "2026-06-01", "officialLink": "https://github.com/ekas-io/open-sales-stack", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp", "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ekas-io-open-sales-stack" }, { "slug": "elementfm-mcp", "name": "elementfm/mcp", "vendor": "Various", "tagline": "elementfm / mcp · GitLab", "description": "A developer tool hosted on GitLab under the elementfm namespace, maintained by Various contributors. The repository is named 'mcp' and is associated with the Element FM project, but its specific functionality is not detailed in the provided description.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers working with Element FM who need MCP integration and are willing to explore the repository for further details", "useCases": [ "Integrating MCP functionality into Element FM-based applications", "Contributing to the open-source MCP component development", "Deploying the MCP tool as part of a developer workflow" ], "pros": [ "Open source and publicly accessible on GitLab", "Community involvement from Various contributors", "Version controlled with standard Git capabilities" ], "cons": [ "No detailed documentation in the available description", "Purpose and functionality not explicitly stated from given facts", "Dependence on the Element FM ecosystem may limit general applicability" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://gitlab.com/elementfm/mcp", "screenshotUrl": "https://gitlab.com/assets/twitter_card-570ddb06edf56a2312253c5872489847a0f385112ddbcd71ccfa1570febab5d2.jpg", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/elementfm-mcp" }, { "slug": "elestirelbilinc-sketch-vap-showcase", "name": "elestirelbilinc-sketch/vap-showcase", "vendor": "Various", "tagline": "Media Execution Control Layer for AI Agents. Reserve-execute-burn/refund pattern. FFmpeg post-processing (format conversion, audio normalization) Supports Flux2 Pro, Veo 3.1, Suno", "description": "A media execution control layer for AI agents that implements a reserve-execute-burn/refund pattern. It handles FFmpeg post-processing like format conversion and audio normalization, and supports Flux2 Pro, Veo 3.1, and Suno V5. Written in Python, it provides a structured way for agents to claim, execute, and settle media generation tasks.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers prototyping agent-based media generation pipelines with built-in execution control", "useCases": [ "Building agent workflows that generate and post-process video or audio content", "Integrating multiple generation APIs (Flux2 Pro, Veo 3.1, Suno V5) under a unified control layer", "Managing execution guarantees with reservation and confirmation logic to avoid over-commitment" ], "pros": [ "Clear reserve-execute-burn/refund pattern prevents duplicate or wasted generation calls", "Built-in FFmpeg post-processing reduces need for separate pipeline steps", "Multi-model support in a single Python package" ], "cons": [ "Zero stars and no community traction suggest it is very early or experimental", "Limited to the three advertised model providers and FFmpeg", "Python-only, no documented CLI or non-Python integration" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-02-09", "addedAt": "2026-06-01", "officialLink": "https://github.com/elestirelbilinc-sketch/vap-showcase", "relations": { "works_in": [], "uses": [ "flux" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/elestirelbilinc-sketch-vap-showcase" }, { "slug": "elevy99927-devops-mcp-webui", "name": "elevy99927/devops-mcp-webui", "vendor": "Various", "tagline": "Bridge connecting OpenWebUI to Kubernetes clusters via MCP protocol", "description": "An open source Python tool that connects OpenWebUI to Kubernetes clusters using the Model Context Protocol (MCP). It enables natural language interaction with Kubernetes resources through a web interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring natural language interfaces for Kubernetes management within OpenWebUI", "useCases": [ "Query Kubernetes cluster state or resources via OpenWebUI chat interface", "Perform kubectl operations using natural language commands", "Integrate Kubernetes management into an existing OpenWebUI workflow" ], "pros": [ "Leverages familiar OpenWebUI interface for Kubernetes management", "Simple Python implementation easy to extend or modify", "No cost for use or customization" ], "cons": [ "Very low community traction (2 stars) indicating limited adoption or testing", "Requires running and maintaining a separate MCP bridge component", "May lack robust error handling or security features for production clusters" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "lastUpdated": "2025-10-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/elevy99927/devops-mcp-webui", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "open-webui" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/elevy99927-devops-mcp-webui" }, { "slug": "elhamid-llm-council", "name": "elhamid/llm-council", "vendor": "Various", "tagline": "LLM Council works together to answer your hardest questions", "description": "LLM Council is a Python library that coordinates multiple large language models to collaboratively answer complex questions. It routes queries to a council of LLMs, aggregates their responses, and returns a synthesized answer.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring multi-model reasoning or needing higher confidence on hard questions", "useCases": [ "Improving answer accuracy on difficult or ambiguous queries", "Cross-validating outputs from different language models", "Building multi-model reasoning pipelines for research or prototyping" ], "pros": [ "Leverages consensus across models to reduce hallucination risk", "Simple Python API for orchestrating multiple LLMs", "Open source with a permissive license for customization" ], "cons": [ "Requires API keys and access to multiple LLM providers", "Increased latency and cost due to multiple model calls per query", "Limited documentation and community support given low star count" ], "tags": [], "featured": false, "tier": "curated", "stars": 5, "language": [ "Python" ], "lastUpdated": "2026-02-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/elhamid/llm-council", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "langchain", "litellm" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/elhamid-llm-council" }, { "slug": "elie222-inbox-zero", "name": "elie222/inbox-zero", "vendor": "Various", "tagline": "The world's best AI personal assistant for email. Open source app to help you reach inbox zero fast.", "description": "An open source MCP server for email management built in TypeScript. It helps users reach inbox zero by automating triage, summarization, and reply drafting through AI assistants.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building custom AI-powered email automation tools", "useCases": [ "Automate email sorting and prioritization", "Generate concise summaries of long threads", "Draft quick replies based on context" ], "pros": [ "Open source with strong community adoption (over 11,000 stars)", "Written in TypeScript for type safety and developer familiarity", "Integrates with MCP-compatible AI assistants for flexible workflows" ], "cons": [ "Requires manual setup and configuration of MCP environment", "Dependent on external AI model APIs which may incur costs", "Limited to email providers supported by the underlying MCP protocol" ], "tags": [ "ai", "email", "gmail", "loops", "nextjs", "openai", "postgresql", "posthog" ], "featured": false, "tier": "curated", "stars": 11071, "language": [ "TypeScript" ], "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/elie222/inbox-zero/tree/main/apps/mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/elie222-inbox-zero" }, { "slug": "eliottreich-taskbounty-mcp-server", "name": "eliottreich/taskbounty-mcp-server", "vendor": "Various", "tagline": "MCP server for TaskBounty. Post AI-fixable bug bounties or pick them up. Funded in USD via Stripe, paid in USDC, ETH, or BTC.", "description": "MCP server that connects to TaskBounty platform. It enables developers to post bug bounties for AI-fixable issues or claim existing ones. Bounty funding is handled via Stripe in USD with payouts in USDC, ETH, or BTC.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to monetize AI bug fixes using cryptocurrency payouts.", "useCases": [ "Post a bug bounty for an AI-fixable issue", "Claim an open bounty to fix a bug", "Receive cryptocurrency for completing bounty tasks" ], "pros": [ "Direct integration with MCP ecosystem", "Supports multiple payout currencies (USDC, ETH, BTC)", "Simple Stripe-based funding flow" ], "cons": [ "Zero stars indicates early stage or low adoption", "JavaScript only MCP server may limit language preferences", "Dependency on TaskBounty platform availability" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/eliottreich/taskbounty-mcp-server", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [ "github" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/eliottreich-taskbounty-mcp-server" }, { "slug": "ellmos-ai-ellmos-codecommander-mcp", "name": "ellmos-ai/ellmos-codecommander-mcp", "vendor": "Various", "tagline": "Developer-focused MCP server with 17 tools for code analysis, JSON repair, import management, Markdown export, diffs and regex testing", "description": "A developer-focused MCP server that bundles 17 tools for code analysis, JSON repair, import management, Markdown export, diff generation, and regex testing. It is implemented in JavaScript and integrates with MCP-compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want a compact MCP server with multiple code utilities for local or experimental use", "useCases": [ "Analyze code structure and detect issues", "Repair malformed JSON data", "Manage and organize code imports" ], "pros": [ "Offers a wide range of 17 tools in a single server", "Covers common developer tasks like diffing and regex testing", "Lightweight JavaScript implementation" ], "cons": [ "Low community adoption (2 stars) suggests limited testing or support", "No detailed documentation or usage examples provided", "May lack stability or regular updates" ], "tags": [ "claude", "claude-code", "code-analysis", "developer-tools", "encoding", "import-organizer", "json-repair", "llm" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/ellmos-ai/ellmos-codecommander-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp", "mickaelkerjean-filestash" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ellmos-ai-ellmos-codecommander-mcp" }, { "slug": "elisymlabs-elisym", "name": "elisymlabs/elisym", "vendor": "Various", "tagline": "Open infrastructure for AI agents to discover and pay each other", "description": "Elisym is an open-source TypeScript framework that enables AI agents to autonomously discover and transact with each other. It provides a decentralized infrastructure for agent-to-agent payments and service discovery.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with autonomous agent economies and decentralized agent coordination", "useCases": [ "Building autonomous agent marketplaces where agents offer and consume services", "Implementing pay-per-use agent workflows with automatic settlement", "Creating decentralized agent networks that self-organize and transact" ], "pros": [ "Open infrastructure with no vendor lock-in", "TypeScript codebase for easy integration with modern web stacks", "Enables novel agent-to-agent economic models" ], "cons": [ "Very early stage with only 13 GitHub stars and limited community", "No documented production deployments or real-world usage examples", "Requires agents to have payment capabilities, adding complexity" ], "tags": [ "ai", "ai-agents", "autonomous-agent", "decentralized", "discovery", "infrastructure", "marketplace", "mcp" ], "featured": false, "tier": "curated", "stars": 13, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/elisymlabs/elisym", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "autogen" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/elisymlabs-elisym" }, { "slug": "ellmos-ai-n8n-manager-mcp", "name": "ellmos-ai/n8n-manager-mcp", "vendor": "Various", "tagline": "MCP server for n8n workflow management -- view, create, sync, and manage n8n workflows via AI assistants", "description": "A Model Context Protocol server that lets AI assistants view, create, sync, and manage n8n workflows. It connects to an n8n instance via its API, enabling natural language workflow operations.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to manage n8n workflows through AI assistants using the Model Context Protocol", "useCases": [ "Create new n8n workflows by describing them to an AI assistant", "List and inspect existing workflows without opening the n8n UI", "Sync workflow changes between an AI assistant and an n8n instance" ], "pros": [ "Enables natural language workflow management through any MCP-compatible AI client", "Lightweight TypeScript implementation with minimal dependencies", "Direct integration with n8n's existing API" ], "cons": [ "Very early stage with only 1 GitHub star and limited community adoption", "Requires running an MCP client and configuring n8n API access", "No built-in error handling or workflow validation beyond what n8n provides" ], "tags": [ "agent-framework", "ai-agents", "ai-automation", "automation", "claude-code", "llm", "llm-agents", "local-first" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/ellmos-ai/n8n-manager-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "pipedreamhq-pipedream" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ellmos-ai-n8n-manager-mcp" }, { "slug": "elmoaid-tempograph", "name": "Elmoaid/TempoGraph", "vendor": "Various", "tagline": "Your AI agent finds the right files. Every time. Code graph context engine with 24 MCP tools — 170+ languages, triple search, +27% F1 improvement.", "description": "TempoGraph is a code graph context engine that helps AI agents find the correct files in a codebase. It provides 24 MCP tools, supports over 170 programming languages, and uses a triple search method. The tool claims a 27% improvement in F1 score for file retrieval tasks.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need precise file retrieval in polyglot codebases.", "useCases": [ "Improving AI agent accuracy in locating relevant source files.", "Enhancing code search across large multi-language repositories.", "Integrating with MCP-based development workflows for context-aware assistance." ], "pros": [ "Supports a wide range of 170+ programming languages.", "Provides 24 MCP tools for flexible integration.", "Triple search method may improve retrieval accuracy." ], "cons": [ "Only 1 star on GitHub, indicating limited community adoption or early stage.", "Requires Python environment and MCP setup.", "Performance claims may not generalize to all codebases." ], "tags": [ "ai-agents", "code-analysis", "code-context", "code-graph", "code-intelligence", "context-engine", "dependency-graph", "developer-tools" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "AGPL-3.0", "lastUpdated": "2026-05-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/Elmoaid/TempoGraph", "relations": { "works_in": [ "cline", "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/elmoaid-tempograph" }, { "slug": "elvismdev-mem0-mcp-selfhosted", "name": "elvismdev/mem0-mcp-selfhosted", "vendor": "Various", "tagline": "Self-hosted mem0 MCP server for Claude Code. Run a complete memory server against self-hosted Qdrant + Neo4j + Ollama while using Claude as the main LLM.", "description": "This tool provides a self-hosted memory server for Claude Code using the MCP protocol. It stores conversation history in Qdrant for vector embeddings and Neo4j for graph relationships, with Ollama generating local embeddings while Claude acts as the primary LLM.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want a self-hosted, privacy-controlled memory backend for Claude Code", "useCases": [ "Persisting conversation context across Claude Code sessions", "Building a long-term memory system for AI coding assistants", "Running a fully self-hosted memory stack for privacy-sensitive projects" ], "pros": [ "Full data control through self-hosting all components", "Uses well-known open-source tools like Qdrant, Neo4j, and Ollama", "Direct integration with Claude Code, a widely used coding assistant" ], "cons": [ "Requires managing multiple external services (Qdrant, Neo4j, Ollama)", "Low community adoption with only 87 GitHub stars", "Setup complexity due to manual configuration and deployment" ], "tags": [ "ai-memory", "anthropic", "claude-code", "knowledge-graph", "mcp", "mcp-server", "mem0", "memory" ], "featured": false, "tier": "curated", "stars": 87, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/elvismdev/mem0-mcp-selfhosted", "relations": { "works_in": [ "claude-code" ], "uses": [ "qdrant", "ollama" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/elvismdev-mem0-mcp-selfhosted" }, { "slug": "emanuele94-simbrief-mcpserver", "name": "Emanuele94/SimBrief-MCPServer", "vendor": "Various", "tagline": "Query SimBrief with your LLM", "description": "A Python server that implements the Model Context Protocol to allow large language models to query SimBrief, a flight planning and simulation tool. It acts as a bridge between an LLM and SimBrief data, enabling natural language access to flight plans and simulation information.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants for flight simulation who need a quick MCP server to access SimBrief data", "useCases": [ "Querying SimBrief flight plans for an LLM-powered assistant", "Retrieving simulation data such as aircraft status or weather", "Integrating AI chatbots with flight simulation workflows" ], "pros": [ "Open-source Python implementation, easy to extend or modify", "Follows the Model Context Protocol for interoperability with MCP-compatible clients", "Lightweight server with minimal dependencies" ], "cons": [ "No stars on GitHub, indicating very early or limited community adoption", "Requires self-hosting and configuration of SimBrief credentials", "No documentation beyond the repository description, may be difficult to set up" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/Emanuele94/SimBrief-MCPServer", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "cursor", "claude-code" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/emanuele94-simbrief-mcpserver" }, { "slug": "embassy-of-the-free-mind-sourcelibrary-v2", "name": "Embassy-of-the-Free-Mind/sourcelibrary-v2", "vendor": "Various", "tagline": "The world's largest library of translated ancient texts. AI-powered OCR and translation of Renaissance and early modern manuscripts.", "description": "A Model Context Protocol (MCP) server that provides access to a library of translated ancient texts. It applies AI-powered OCR and translation to Renaissance and early modern manuscripts. Built in TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI applications that need programmatic access to translated historical manuscripts via MCP", "useCases": [ "Query translated Renaissance manuscripts via MCP from any AI agent", "Integrate ancient text retrieval into custom AI workflows or chatbots", "Access OCR outputs and translations for early modern documents programmatically" ], "pros": [ "Exposes a large collection of translated texts through the MCP standard", "TypeScript codebase simplifies integration with modern toolchains", "Specialized focus on rare Renaissance and early modern manuscripts" ], "cons": [ "Very low community adoption (3 GitHub stars) suggests limited reliability", "No indication of regular maintenance or updates", "Relies on external OCR and translation services (not self-contained)" ], "tags": [ "alchemy", "ancient-texts", "digital-humanities", "hermetica", "manuscripts", "nextjs", "ocr", "open-access" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "license": "AGPL-3.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/Embassy-of-the-Free-Mind/sourcelibrary-v2/tree/main/mcp-server", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/embassy-of-the-free-mind-sourcelibrary-v2" }, { "slug": "emblemcompany-agent-skills", "name": "EmblemCompany/Agent-skills", "vendor": "Various", "tagline": "Official skill collection for EmblemAI agents — 200+ crypto tools across 7 blockchains", "description": "A Shell-based collection of 200+ crypto tools spanning 7 blockchains, designed to extend EmblemAI agents with blockchain interaction skills. It provides pre-built modules for agent developers to integrate on-chain operations without building from scratch.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building EmblemAI agents that need ready-made crypto capabilities across multiple blockchains.", "useCases": [ "Equipping an agent with multi-chain token swapping and balance checking", "Adding DeFi protocol interactions like lending or staking to an agent", "Building an automated crypto trading bot that chains multiple blockchain skills" ], "pros": [ "Large library of over 200 tools reduces redundant development work", "Covers major blockchains (Ethereum, Solana, Polygon, etc.) for broad compatibility", "Shell-based scripts are lightweight and easy to audit or modify" ], "cons": [ "Requires EmblemAI agent framework, limiting use outside that ecosystem", "Low community engagement (10 stars) may indicate limited testing or support", "Shell scripts can be less secure or portable than higher-level language implementations" ], "tags": [ "agent-skills", "ai-agent", "blockchain", "cross-chain", "crypto", "defi", "emblem", "emblemai" ], "featured": false, "tier": "curated", "stars": 10, "language": [ "Shell" ], "license": "MIT", "lastUpdated": "2026-05-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/EmblemCompany/Agent-skills", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "skill-seekers-skill-seekers" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/emblemcompany-agent-skills" }, { "slug": "embeddedlayers-mcp-analytics", "name": "embeddedlayers/mcp-analytics", "vendor": "Various", "tagline": "[BETA — v2 rebuild] MCP server for data analytics — Shopify, Stripe, CSV, forecasting, ML. Works in Claude, Cursor, and any MCP client. Expect rough edges while the rewrite lands.", "description": "A Model Context Protocol server that connects analytics sources like Shopify, Stripe, and CSV files to MCP-compatible clients such as Claude and Cursor. It provides forecasting and basic ML capabilities, though it is currently in a v2 beta rebuild with known instability.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-augmented analytics tools who want to experiment with MCP-connected data sources.", "useCases": [ "Query Shopify or Stripe analytics through natural language in Claude", "Run forecasting models on uploaded CSV data via an MCP client", "Integrate analytics pipelines into Cursor workflows" ], "pros": [ "Supports multiple data sources including Shopify, Stripe, and CSV", "Works with any MCP client, not tied to a single platform", "Offers forecasting and machine learning out of the box" ], "cons": [ "Beta software with rough edges during the v2 rewrite", "Limited to 6 stars, indicating small community and maturity", "Requires running a local MCP server setup" ], "tags": [ "ai-agents", "ai-tools", "analytics", "anthropic", "business-intelligence", "claude", "csv-analysis", "cursor" ], "featured": false, "tier": "curated", "stars": 6, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-09", "addedAt": "2026-06-01", "officialLink": "https://github.com/embeddedlayers/mcp-analytics", "relations": { "works_in": [ "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "mindsdb-mindsdb" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/embeddedlayers-mcp-analytics" }, { "slug": "emicklei-mcp-log-proxy", "name": "emicklei/mcp-log-proxy", "vendor": "Various", "tagline": "a web logging proxy for MCP client-server communication", "description": "emicklei/mcp-log-proxy is a web logging proxy that intercepts and logs communication between MCP (Model Context Protocol) clients and servers. It runs as a Go binary, capturing requests and responses for debugging and analysis.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers debugging MCP implementations and inspecting protocol flows", "useCases": [ "Debug MCP client-server interactions", "Monitor and inspect MCP protocol traffic", "Audit communication for development or testing" ], "pros": [ "Lightweight and simple to deploy", "Provides clear visibility into MCP messages", "Written in Go, easy to run without heavy dependencies" ], "cons": [ "Limited to logging only, no request modification or replay", "Requires Go build process or precompiled binary", "Small community with 29 stars, less support or documentation" ], "tags": [ "debug", "golang", "mcp-server", "mcp-tools" ], "featured": false, "tier": "curated", "stars": 29, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/emicklei/mcp-log-proxy", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/emicklei-mcp-log-proxy" }, { "slug": "emicklei-melrose-mcp", "name": "emicklei/melrose-mcp", "vendor": "Various", "tagline": "MCP server (STDIO) that uses melrose tool to play musical expressions", "description": "A Go-based MCP server that uses the melrose tool to play musical expressions over STDIO. It enables music generation and playback within Model Context Protocol workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need basic music generation capabilities inside MCP-compatible AI assistants", "useCases": [ "Generate musical sequences from structured commands via MCP", "Play musical expressions in AI-driven development tools", "Integrate music playback into custom MCP clients" ], "pros": [ "Leverages the MCP standard for broad tool interoperability", "Written in Go, offering efficient cross-platform execution", "Simple STDIO interface reduces integration overhead" ], "cons": [ "Very small community (10 stars) and limited adoption", "Requires the melrose tool to be installed separately", "No documentation or usage examples provided in the repository" ], "tags": [], "featured": false, "tier": "curated", "stars": 10, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2025-12-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/emicklei/melrose-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/emicklei-melrose-mcp" }, { "slug": "endiagram-mcp", "name": "endiagram/mcp", "vendor": "Various", "tagline": "MCP server for EN Diagram — structural analysis for any system. Install: npx @endiagram/mcp", "description": "This tool is an MCP server for EN Diagram that provides structural analysis for any system. It is installed via npx and communicates through the Model Context Protocol. The server enables diagram generation and system inspection by integrating with MCP-compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need structural analysis within MCP-based workflows", "useCases": [ "Perform structural analysis of software systems", "Integrate with MCP-compatible tools for system visualization", "Generate diagrams from system dependency data" ], "pros": [ "Simple installation via npx with no persistent dependencies", "Interoperable with any MCP-compatible client", "Provides structural analysis out of the box" ], "cons": [ "Low community adoption and limited stars (7) indicate early development", "Only available as a JavaScript/Node.js package", "Requires an MCP client to be useful" ], "tags": [], "featured": false, "tier": "curated", "stars": 7, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/dushyant30suthar/endiagram-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "antv-mcp-server-chart" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/endiagram-mcp" }, { "slug": "endorhq-cli", "name": "endorhq/cli", "vendor": "Various", "tagline": "Endor provides instant, private, sandboxed environments for your favorite services anywhere Node is available. Run MariaDB, PostgreSQL and many more servers securely and in just a", "description": "Endor provides instant, private, sandboxed environments for services like MariaDB and PostgreSQL. It runs anywhere Node is available, creating secure, disposable servers in seconds. Designed for both AI agents and developers who need quick, isolated infrastructure.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and AI agents needing instant, disposable database services", "useCases": [ "Spin up a temporary PostgreSQL database for integration tests", "Provide an ephemeral MariaDB instance for an AI agent's data pipeline", "Run a sandboxed service locally without installing it on the host machine" ], "pros": [ "Creates environments in seconds with minimal overhead", "Private and sandboxed, reducing security risks", "Works on any system with Node.js installed" ], "cons": [ "Limited to the services explicitly supported (e.g., MariaDB, PostgreSQL)", "Low GitHub stars (27) suggest a small community and limited track record", "Requires Node.js, adding a dependency for non-Node environments" ], "tags": [], "featured": false, "tier": "curated", "stars": 27, "language": [], "lastUpdated": "2025-07-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/endorhq/cli", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb", "upstash-context7" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/endorhq-cli" }, { "slug": "entanglr-zettelkasten-mcp", "name": "entanglr/zettelkasten-mcp", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server that implements the Zettelkasten knowledge management methodology, allowing you to create, link, explore and synthesize atomic notes through C", "description": "A Model Context Protocol (MCP) server that implements the Zettelkasten knowledge management methodology. It lets users create, link, explore, and synthesize atomic notes through Claude or other MCP-compatible clients. The server is written in Python and has 155 stars on GitHub.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and knowledge workers who want to combine LLM chat interfaces with a Zettelkasten note-taking system.", "useCases": [ "Building a personal knowledge base of linked atomic notes", "Exploring connections between notes through MCP-compatible chat interfaces", "Automating note creation and retrieval within a Zettelkasten workflow" ], "pros": [ "Integrates directly with Claude and other MCP clients for a fluid note-taking experience", "Encourages structured knowledge management with built-in atomic note linking", "Lightweight Python implementation that is easy to extend or self-host" ], "cons": [ "Requires an MCP-compatible client, limiting standalone use", "Relies on a specific knowledge management methodology that may not suit all users", "Small community (155 stars) and limited documentation beyond the repo" ], "tags": [ "claude", "knowledge-graph", "llm", "markdown", "mcp", "mcp-server", "note-taking", "obsidian" ], "featured": false, "tier": "curated", "stars": 155, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-04-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/entanglr/zettelkasten-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/entanglr-zettelkasten-mcp" }, { "slug": "entire-vc-evc-spark-mcp", "name": "entire-vc/evc-spark-mcp", "vendor": "Various", "tagline": "MCP server for the Spark workflow catalog. Use with Claude, ChatGPT, and other MCP clients", "description": "MCP server for the Spark workflow catalog, enabling AI assistants like Claude and ChatGPT to interact with workflows via the Model Context Protocol. It is built in JavaScript and connects to Spark workflow data for query and management tasks.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Spark workflow catalogs who want AI assistant integration via MCP", "useCases": [ "Querying Spark workflow metadata and logs from AI chat clients", "Integrating Spark workflows into agentic pipelines with MCP-compatible tools", "Accessing and managing workflow catalogs through natural language commands" ], "pros": [ "Works with multiple MCP clients (Claude, ChatGPT, others)", "Simple Node.js setup with clear protocol integration", "Provides direct access to Spark workflow catalog data" ], "cons": [ "Requires a pre-existing Spark workflow catalog environment", "Limited to MCP protocol clients only, reducing broader tool compatibility", "Small community and limited maintenance activity (4-star rating)" ], "tags": [ "agent-catalog", "ai-tools", "chatgpt", "claude", "entire-vc", "mcp", "model-context-protocol", "npm" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/entire-vc/evc-spark-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/entire-vc-evc-spark-mcp" }, { "slug": "epicsagas-alcove", "name": "epicsagas/alcove", "vendor": "Various", "tagline": "Alcove is an MCP server that gives AI coding agents on-demand access to your private project docs — BM25 + vector hybrid search for precision retrieval, tree-sitter code indexing s", "description": "Alcove is an MCP server that gives AI coding agents on-demand access to private project documentation. It combines BM25 and vector hybrid search for precise retrieval and uses tree-sitter to index codebase structure. Policy enforcement helps maintain documentation consistency.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Teams using MCP-based AI agents who need secure, structured access to private project documentation", "useCases": [ "Retrieving relevant project docs for AI agents during code generation or review", "Indexing private codebases so agents understand project structure and naming conventions", "Enforcing documentation policies across shared project repositories" ], "pros": [ "Hybrid BM25+vector search improves retrieval accuracy over pure keyword or vector methods", "Tree-sitter indexing enables agents to interpret code structure rather than just strings", "Policy enforcement helps keep documentation aligned with project standards" ], "cons": [ "Very early-stage project with only 9 stars, indicating limited community and support", "Requires an MCP-compatible AI agent ecosystem to function", "Setup and maintenance may demand familiarity with Rust tooling" ], "tags": [ "ai-agent", "claude-code", "documentation", "knowledge-base", "mcp", "mcp-server", "privacy", "rust" ], "featured": false, "tier": "curated", "stars": 9, "language": [ "Rust" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/epicsagas/alcove", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "microsoft-markitdown" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/epicsagas-alcove" }, { "slug": "epistates-turbomcp", "name": "Epistates/TurboMCP", "vendor": "Various", "tagline": "A full featured, enterprise grade rust MCP SDK", "description": "Epistates/TurboMCP is a full-featured, enterprise-grade SDK for the Model Context Protocol (MCP) written in Rust. It provides developers with tools to build MCP servers and clients with a focus on performance and safety.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Rust developers building MCP-based tools or services", "useCases": [ "Building MCP servers in Rust", "Implementing custom MCP protocol handlers", "Embedding model context management in Rust applications" ], "pros": [ "Written in Rust for memory safety and high performance", "Open source with an enterprise-grade feature set", "Full-featured SDK covering core MCP functionality" ], "cons": [ "Limited community adoption (89 GitHub stars)", "Rust-specific, excluding developers using other languages", "Possible instability due to early-stage project maturity" ], "tags": [ "mcp", "mcp-client", "mcp-sdk", "mcp-server", "mcp-servers", "rust" ], "featured": false, "tier": "curated", "stars": 89, "language": [ "Rust" ], "license": "MIT", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/Epistates/turbomcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "fastmcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/epistates-turbomcp" }, { "slug": "equivault-equivault-mcp", "name": "equivault/equivault-mcp", "vendor": "Various", "tagline": "MCP server for EquiVault — AI-powered equity research tools for Claude", "description": "EquiVault MCP server enables Claude to access equity research tools through the Model Context Protocol. It exposes equity data and analysis capabilities as tools for Claude. Built in TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude who need programmatic access to equity research tools.", "useCases": [ "Querying equity research data via Claude", "Automating equity analysis tasks with Claude", "Integrating equity data into AI-assisted workflows" ], "pros": [ "Tight integration with Claude through the MCP standard", "Open source TypeScript codebase for custom extensions", "Leverages Claude's natural language understanding for equity queries" ], "cons": [ "Zero GitHub stars indicates very early stage with little community adoption", "Requires access to EquiVault's proprietary data or API", "Limited documentation and usage examples likely due to low visibility" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/equivault/equivault-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/equivault-equivault-mcp" }, { "slug": "erajasekar-ai-diagram-maker-mcp", "name": "erajasekar/ai-diagram-maker-mcp", "vendor": "Various", "tagline": "erajasekar/ai-diagram-maker-mcp — indexed from awesome-mcp-servers-punkpeye", "description": "An MCP server that enables AI assistants to generate diagrams from natural language descriptions. It processes requests through the Model Context Protocol and returns diagram data, likely in formats like Mermaid or PlantUML.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring MCP integrations who want a basic diagram generation example to fork or learn from.", "useCases": [ "Generate architecture diagrams by describing system components in natural language", "Create flowcharts from step-by-step process descriptions", "Produce sequence diagrams from interaction narratives" ], "pros": [ "Integrates with any MCP-compatible AI assistant for diagram creation", "Simple TypeScript codebase that is easy to understand or extend", "Lightweight dependency on standard MCP server libraries" ], "cons": [ "Very early stage project with only 2 GitHub stars and limited community validation", "No documentation beyond the repository index entry, making setup and usage unclear", "Likely limited to basic diagram types and simple prompts given its minimal development" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/erajasekar/ai-diagram-maker-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "antv-mcp-server-chart" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/erajasekar-ai-diagram-maker-mcp" }, { "slug": "erebusenigma-context-memory", "name": "ErebusEnigma/context-memory", "vendor": "Various", "tagline": "Persistent, searchable context storage across Claude Code sessions using SQLite + FTS5", "description": "A Python tool that stores context from Claude Code sessions in a local SQLite database with FTS5 full-text search. It enables persistent memory across sessions by saving and retrieving conversation history and project-specific data.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude Code who need persistent session memory", "useCases": [ "Persisting conversation context between Claude Code sessions", "Searching past interactions for specific details or decisions", "Maintaining project-specific memory across multiple sessions" ], "pros": [ "Lightweight local storage with SQLite", "Full-text search via FTS5 enables quick retrieval", "Open source and customizable" ], "cons": [ "Requires manual setup and configuration", "Limited to Claude Code sessions", "No built-in cloud sync or collaboration features" ], "tags": [ "claude-code", "claude-code-plugin", "context", "full-text-search", "memory", "plugin", "sqlite" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-02-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/ErebusEnigma/context-memory", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/erebusenigma-context-memory" }, { "slug": "ergut-mcp-bigquery-server", "name": "ergut/mcp-bigquery-server", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server that provides secure, read-only access to BigQuery datasets. Enables Large Language Models (LLMs) to safely query and analyze data through a s", "description": "A Model Context Protocol (MCP) server that provides secure, read-only access to BigQuery datasets. It enables Large Language Models (LLMs) to safely query and analyze data through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to give LLMs safe, structured access to BigQuery data", "useCases": [ "Let an LLM run read-only SQL queries on BigQuery tables", "Give an AI assistant access to business data for analysis", "Integrate BigQuery with MCP-compatible tools and agents" ], "pros": [ "Read-only design prevents accidental data modification", "Standard MCP interface works with many LLM frameworks", "Written in TypeScript for type safety and easy integration" ], "cons": [ "Limited to read-only queries, no write or DDL operations", "Requires BigQuery credentials and network access to Google Cloud", "MCP ecosystem still maturing, fewer clients than REST APIs" ], "tags": [ "bigquery", "google-cloud", "mcp", "mcp-servers", "model-context-protocol", "sql" ], "featured": false, "tier": "curated", "stars": 140, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/ergut/mcp-bigquery-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "googleapis-genai-toolbox" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ergut-mcp-bigquery-server" }, { "slug": "ericbrown-project-context-mcp", "name": "ericbrown/project-context-mcp", "vendor": "Various", "tagline": "Give Claude Code instant access to your project's institutional knowledge. Drop docs in .context/, mention them with @, and watch Claude become an expert on your codebase.", "description": "An MCP server that lets Claude Code read project documentation stored in a .context/ directory. Developers reference specific docs with @ mentions, giving Claude immediate access to institutional knowledge and codebase conventions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Teams using Claude Code who want to maintain a shared, discoverable project knowledge base.", "useCases": [ "Onboard new developers to a codebase by linking architectural decisions", "Provide Claude with up-to-date style guides and API conventions during code reviews", "Document project-specific patterns and best practices for consistent AI assistance" ], "pros": [ "Ties documentation directly to Claude's context with minimal setup", "Open source and easy to self-host", "Encourages living documentation that stays close to the code" ], "cons": [ "Requires manual upkeep of the .context/ docs to stay accurate", "Only works with Claude Code, not other AI assistants", "Relies on MCP infrastructure which adds an extra integration step" ], "tags": [], "featured": false, "tier": "curated", "stars": 4, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-01-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/ericbrown/project-context-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ericbrown-project-context-mcp" }, { "slug": "erikhoward-adls-mcp-server", "name": "erikhoward/adls-mcp-server", "vendor": "Various", "tagline": "Microsoft Azure Data Lake Storage MCP Server", "description": "An open-source Python MCP server that exposes Microsoft Azure Data Lake Storage operations through the Model Context Protocol. It allows MCP-compatible AI agents and tools to browse directories, read files, and manage blobs in Azure Data Lake Storage using a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a simple MCP bridge to query or manage files in Azure Data Lake Storage from AI assistants or automated workflows", "useCases": [ "Letting an AI coding assistant retrieve files from Azure Data Lake Storage during development", "Enabling a chatbot to list and read data lake contents for user queries", "Connecting MCP-based toolchains to Azure Data Lake Storage for automated data pipelines" ], "pros": [ "Open source and written in Python, easy to inspect and customize", "Directly addresses a niche gap in MCP support for Azure Data Lake Storage", "Lightweight server that can be self-hosted with minimal dependencies" ], "cons": [ "Very small community (6 stars) with limited documentation and support", "May lack advanced features like recursive operations or authentication variants", "Requires manual setup and configuration of Azure credentials and permissions" ], "tags": [ "adls", "azure", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 6, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/erikhoward/adls-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "cursor", "cline", "continue", "claude-code" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/erikhoward-adls-mcp-server" }, { "slug": "erithwik-mcp-hn", "name": "erithwik/mcp-hn", "vendor": "Various", "tagline": "MCP Server for Hackernews", "description": "A Model Context Protocol (MCP) server that exposes Hacker News data as standardized tools and resources. It enables AI agents to fetch stories, comments, and user information through the MCP interface, using Python to interact with the Hacker News API.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need programmatic access to Hacker News content", "useCases": [ "Fetch top or new stories for aggregation or summarization", "Retrieve comments and threads for conversation analysis", "Search Hacker News for specific topics or keywords" ], "pros": [ "Standard MCP interface simplifies integration with any MCP-compatible AI client", "Lightweight Python implementation easy to deploy and extend", "Actively maintained on GitHub with community engagement" ], "cons": [ "Limited to Hacker News data only, not a general web tool", "Requires an MCP client to utilize, adding a dependency", "Subject to Hacker News API rate limits and availability" ], "tags": [], "featured": false, "tier": "curated", "stars": 74, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-07-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/erithwik/mcp-hn", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/erithwik-mcp-hn" }, { "slug": "ernestocorona-kanboard-mcp", "name": "ernestocorona/kanboard-mcp", "vendor": "Various", "tagline": "Model Context Protocol (MCP) server for Kanboard — manage projects, tasks, columns, swimlanes, and team work from any MCP-compatible client (Claude Code, Claude Desktop, Cursor, Cl", "description": "A Model Context Protocol (MCP) server that connects MCP-compatible clients like Claude Code, Claude Desktop, Cursor, Cline, and Zed to a Kanboard instance. It enables managing projects, tasks, columns, swimlanes, and team work through natural language or structured commands.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Teams already using Kanboard who want to interact with it through AI coding assistants or chat interfaces", "useCases": [ "Create and assign tasks in Kanboard from an AI chat interface", "Reorganize project columns or swimlanes without opening the Kanboard UI", "Query task status and team workload during development standups" ], "pros": [ "Works with multiple popular MCP clients out of the box", "Written in TypeScript, easy to extend or debug", "Covers core Kanboard entities (projects, tasks, columns, swimlanes)" ], "cons": [ "Requires a running Kanboard instance with API access", "Limited to Kanboard's own API capabilities (no custom fields or plugins)", "Small community (7 stars) means less support and fewer examples" ], "tags": [], "featured": false, "tier": "curated", "stars": 7, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/ErnestoCorona/kanboard-mcp", "relations": { "works_in": [ "claude-code", "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ernestocorona-kanboard-mcp" }, { "slug": "erodenn-godot-mcp-runtime", "name": "Erodenn/godot-mcp-runtime", "vendor": "Various", "tagline": "A lightweight, zero-footprint TypeScript MCP server that lets AI assistants interact with the Godot 4.x game engine.", "description": "A lightweight TypeScript MCP server that enables AI assistants to interact with the Godot 4.x game engine. It provides a zero-footprint integration layer for reading scene data, executing GDScript, and controlling the editor or runtime.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Godot developers who want to use AI assistants to automate editor tasks or prototype gameplay logic.", "useCases": [ "Automate scene editing and asset management via AI prompts", "Run GDScript commands and retrieve engine state from an AI assistant", "Integrate Godot with external AI tools for rapid prototyping" ], "pros": [ "Zero-footprint design minimizes performance overhead", "TypeScript codebase is easy to extend and debug", "Directly targets Godot 4.x without engine modifications" ], "cons": [ "Small community (30 stars) means limited support and documentation", "Requires manual setup and configuration for each project", "Only works with Godot 4.x, not earlier versions" ], "tags": [], "featured": false, "tier": "curated", "stars": 30, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/Erodenn/godot-mcp-runtime", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "coding-solo-godot-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/erodenn-godot-mcp-runtime" }, { "slug": "erodenn-fetch-guard", "name": "Erodenn/fetch-guard", "vendor": "Various", "tagline": "Fetch URLs and return clean, LLM-ready markdown with metadata and layered prompt injection defense. Configurable timeouts, word limits, JS rendering, and link extraction. All-in-on", "description": "Fetch URLs and return clean, LLM-ready markdown with metadata and layered prompt injection defense. Configurable timeouts, word limits, JS rendering, and link extraction. All-in-one MCP server + CLI.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a secure, configurable web-to-markdown pipeline for LLM workflows", "useCases": [ "Convert web pages to markdown for LLM context ingestion", "Scrape content with configurable word limits and timeouts", "Extract links and metadata from URLs with JS rendering" ], "pros": [ "Built-in prompt injection defense layers", "Supports JavaScript rendering for dynamic content", "Works as both MCP server and CLI tool" ], "cons": [ "Zero stars and no community traction yet", "Python-only, limiting integration options", "No mention of caching or rate limiting" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/Erodenn/fetch-guard", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "microsoft-markitdown", "agent-infra-mcp-server-browser", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/erodenn-fetch-guard" }, { "slug": "escapeboy-agent-fleet-o", "name": "escapeboy/agent-fleet-o", "vendor": "Various", "tagline": "Open-source AI agent orchestration platform — self-hosted mission control for autonomous multi-agent systems. Visual DAG workflows, 450+ MCP tools, human-in-the-loop approvals. Wor", "description": "An open-source platform for orchestrating autonomous multi-agent AI systems. It provides self-hosted mission control with visual DAG workflows, 450+ MCP tools, and human-in-the-loop approvals. Supports Claude, GPT-4o, Gemini, Ollama, and Codex.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a self-hosted multi-agent orchestration platform with visual workflow design and human oversight", "useCases": [ "Orchestrating multi-agent workflows for complex automation tasks", "Integrating human approval steps into autonomous agent processes", "Combining multiple LLMs and MCP tools in a single visual pipeline" ], "pros": [ "Self-hosted gives full control over data and infrastructure", "Visual DAG workflows simplify designing agent interactions", "Supports a wide range of LLMs and 450+ MCP tools" ], "cons": [ "Small community with only 30 GitHub stars, limiting support", "Built in PHP, which may reduce appeal for developers preferring Python or JavaScript", "Requires self-hosting and ongoing maintenance effort" ], "tags": [ "agent-orchestration", "agentic-ai", "ai-agents", "ai-automation", "autonomous-agents", "claude", "crewai-alternative", "langgraph-alternative" ], "featured": false, "tier": "curated", "stars": 30, "language": [ "PHP" ], "license": "AGPL-3.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/escapeboy/agent-fleet-o", "relations": { "works_in": [], "uses": [ "ollama" ], "built_with": [], "pairs_with": [], "alternative_to": [ "langflow", "flowise", "autogen" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/escapeboy-agent-fleet-o" }, { "slug": "esignaturescom-mcp-server-esignatures", "name": "esignaturescom/mcp-server-esignatures", "vendor": "Various", "tagline": "MCP server for eSignatures (https://esignatures.com)", "description": "An MCP server that wraps the eSignatures.com API, allowing AI agents to send documents for signature, check signing status, and manage templates. It uses the Model Context Protocol to expose these actions as tools for compatible AI assistants.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to send documents for e-signature without manual steps.", "useCases": [ "Automate sending contracts or agreements for e-signature from an AI agent", "Check the signing status of a document programmatically", "List and select e-signature templates for reuse" ], "pros": [ "Simple integration with any MCP-compatible AI client", "Written in Python, easy to extend or debug", "Directly connects to a live e-signature service" ], "cons": [ "Requires an active eSignatures.com account and API key", "Limited to the features exposed by the eSignatures.com API", "Small community (37 stars) may mean slower support or fewer examples" ], "tags": [], "featured": false, "tier": "curated", "stars": 37, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/esignaturescom/mcp-server-esignatures", "relations": { "works_in": [ "cline", "cursor", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/esignaturescom-mcp-server-esignatures" }, { "slug": "espadaw-agent47", "name": "espadaw/Agent47", "vendor": "Various", "tagline": "Unified job search for AI agents. MCP server integrating x402, RentAHuman, Virtuals, and more into a single interface for finding work and comparing prices across the agent economy", "description": "Agent47 is a TypeScript MCP server that aggregates job listings and pricing from multiple agent economy platforms including x402, RentAHuman, and Virtuals. It provides a single interface for AI agents to search for work and compare compensation across these services.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need autonomous job searching across multiple agent economy platforms", "useCases": [ "Integrate into an AI agent to discover and filter available paid tasks", "Compare pricing and job terms across different agent marketplaces", "Automate bidding or job selection workflows for autonomous agents" ], "pros": [ "Unifies multiple fragmented platforms into one query interface", "Reduces manual switching between different job marketplaces", "Lightweight and straightforward integration via MCP protocol" ], "cons": [ "Low GitHub stars (2) suggest limited community validation or early stage", "Relies on external APIs that may change or require authentication", "Not clear if it handles all marketplace nuances or errors gracefully" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "lastUpdated": "2026-02-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/espadaw/Agent47", "relations": { "works_in": [ "cursor", "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/espadaw-agent47" }, { "slug": "etbars-vibetrader-mcp", "name": "etbars/vibetrader-mcp", "vendor": "Various", "tagline": "Official VibeTrader MCP server enabling AI agents to manage trading bots, portfolios, strategies, and market analysis via natural language.", "description": "This MCP server lets AI agents control VibeTrader trading bots, portfolios, and strategies through natural language commands. It translates agent requests into API calls for market analysis, bot management, and portfolio adjustments.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agent workflows that need to interact with VibeTrader trading bots and portfolios.", "useCases": [ "Ask an AI assistant to create or modify a trading strategy in natural language", "Let an agent monitor portfolio performance and suggest rebalancing actions", "Automate market analysis queries through conversational interfaces" ], "pros": [ "Enables natural language control of trading operations without manual API coding", "Open source Python implementation with clear MCP protocol integration", "Directly connects to VibeTrader's existing bot and portfolio management features" ], "cons": [ "Very low community adoption (3 stars) suggests limited testing or support", "Dependent on VibeTrader platform availability and API stability", "No documentation or usage examples beyond the repository description" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-01-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/etbars/vibetrader-mcp", "relations": { "works_in": [ "anthropic-computer-use", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/etbars-vibetrader-mcp" }, { "slug": "espressif-esp-rainmaker-mcp", "name": "espressif/esp-rainmaker-mcp", "vendor": "Various", "tagline": "ESP RainMaker MCP server", "description": "ESP RainMaker MCP server is a Python-based tool that exposes ESP RainMaker IoT device management through the Model Context Protocol. It allows developers to control and monitor ESP32-based smart home devices via a standardized MCP interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based tools or assistants that need to control ESP32 smart home devices", "useCases": [ "Integrating ESP RainMaker device control into AI assistants or chat interfaces", "Automating smart home device management through MCP-compatible clients", "Building custom dashboards or scripts that interact with ESP RainMaker devices" ], "pros": [ "Leverages the Model Context Protocol for standardized tool integration", "Lightweight Python implementation with a small codebase", "Directly connects to the ESP RainMaker ecosystem for real device control" ], "cons": [ "Very early stage with only 16 GitHub stars and limited community adoption", "Requires existing ESP RainMaker setup and device provisioning", "Documentation and examples are sparse beyond the basic README" ], "tags": [], "featured": false, "tier": "curated", "stars": 16, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2025-07-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/espressif/esp-rainmaker-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/espressif-esp-rainmaker-mcp" }, { "slug": "ethbak-icon-composer-mcp", "name": "ethbak/icon-composer-mcp", "vendor": "Various", "tagline": "Apple Icon Composer CLI & MCP server: create and manipulate .icon bundles and images with Liquid Glass rendering", "description": "ethbak/icon-composer-mcp is a CLI and MCP server for creating and manipulating Apple .icon bundles and images with Liquid Glass rendering. It is written in TypeScript and integrates with MCP-compatible tools to automate icon generation.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "macOS developers who need to automate .icon bundle creation and rendering with Liquid Glass effects", "useCases": [ "Generating .icon bundles for macOS applications", "Manipulating icon images with Liquid Glass effects programmatically", "Integrating icon workflows into AI-assisted development environments via MCP" ], "pros": [ "Lightweight tool focused on a specific macOS development need", "Leverages TypeScript for type safety and modern tooling", "Open source with a permissive license" ], "cons": [ "Niche to Apple ecosystem and .icon bundle format", "Small community with 8 stars, limited support resources", "Documentation may be sparse for advanced use cases" ], "tags": [ "anthropic", "app-icon", "apple", "bun", "claude", "claude-code", "cli", "icon" ], "featured": false, "tier": "curated", "stars": 8, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/ethbak/icon-composer-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "glips-figma-context-mcp", "ahujasid-blender-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ethbak-icon-composer-mcp" }, { "slug": "ethanqc-feishu-user-plugin", "name": "EthanQC/feishu-user-plugin", "vendor": "Various", "tagline": "飞书 MCP 服务器 + CLI 工具：让 Claude Code/Codex/脚本 直接接管你的飞书工作流 — 84 个工具、3 层鉴权 cookie / 官方 API / OAuth，以你本人身份发消息、读取群和私聊、操作文档 / 多维表格 / 知识库 / 云空间 / 日历 / 任务 / OKR", "description": "EthanQC/feishu-user-plugin is an MCP server and CLI tool that exposes 84 tools for automating Feishu workflows. It supports three authentication methods (cookie, official API, OAuth) and allows Claude Code, Codex, or scripts to send messages, read group and private chats, and operate on documents, spreadsheets, knowledge bases, cloud space, calendar, tasks, and OKR as the user's own identity.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to deeply automate Feishu workflows from AI coding assistants", "useCases": [ "Automate Feishu messaging and chat monitoring from AI assistants", "Programmatically manage Feishu documents, spreadsheets, and knowledge bases", "Integrate Feishu calendar, tasks, and OKR into custom scripts or workflows" ], "pros": [ "Covers a wide range of Feishu features with 84 tools", "Supports multiple authentication methods for flexible access", "Lets AI tools act as the user for seamless automation" ], "cons": [ "Low community traction with only 2 stars", "Cookie-based auth may be fragile and require maintenance", "Limited documentation and support due to small user base" ], "tags": [ "claude", "claude-code", "cli", "codex", "feishu", "feishu-cli", "feishu-mcp", "im" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/EthanQC/feishu-user-plugin", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ethanqc-feishu-user-plugin" }, { "slug": "etiennechollet-ontomics", "name": "EtienneChollet/ontomics", "vendor": "Various", "tagline": "Extract domain knowledge from codebases to reduce LLM token consumption by 20x and time in agentic search by 10x — gathers and makes concepts, naming conventions, and vocabulary qu", "description": "Ontomics extracts domain knowledge from codebases by analyzing concepts, naming conventions, and vocabulary, then makes them queryable via MCP. It reduces LLM token consumption by 20x and agentic search time by 10x by providing a structured ontology instead of raw code.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers working with large codebases who want to reduce LLM costs and speed up agentic search", "useCases": [ "Pre-process a codebase to build a queryable ontology for LLM-assisted development", "Reduce token costs when using LLMs to understand or refactor large codebases", "Speed up agentic code search by replacing raw code scans with ontology lookups" ], "pros": [ "Written in Rust for performance and safety", "Delivers measurable reductions in token usage and search time", "Exposes domain knowledge via MCP for easy integration with LLM tools" ], "cons": [ "Limited community adoption with only 35 GitHub stars", "Requires initial setup and understanding of MCP protocol", "Effectiveness depends on codebase structure and naming consistency" ], "tags": [ "agentic-coding", "ai-coding", "claude-code", "codex", "coding-agents", "domain-knowledge", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 35, "language": [ "Rust" ], "license": "MIT", "lastUpdated": "2026-04-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/EtienneChollet/ontomics", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/etiennechollet-ontomics" }, { "slug": "evalstate-mcp-hfspace", "name": "evalstate/mcp-hfspace", "vendor": "Various", "tagline": "MCP Server to Use HuggingFace spaces, easy configuration and Claude Desktop mode.", "description": "An MCP server that lets you connect to Hugging Face Spaces as tools within Claude Desktop. It provides a simple configuration to expose any Space's inference API as a callable function.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to quickly connect Hugging Face models to Claude Desktop for prototyping or experimentation.", "useCases": [ "Run Hugging Face models directly from Claude Desktop conversations", "Integrate community Spaces into AI agent workflows", "Quickly test and prototype with Hugging Face models without writing custom code" ], "pros": [ "Simple setup with minimal configuration required", "Leverages the vast library of existing Hugging Face Spaces", "Works seamlessly with Claude Desktop's MCP integration" ], "cons": [ "Depends on Hugging Face Spaces availability and network latency", "Limited to Spaces that expose an inference API", "No built-in caching or rate limiting for repeated calls" ], "tags": [], "featured": false, "tier": "curated", "stars": 386, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-06-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/evalstate/mcp-hfspace", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/evalstate-mcp-hfspace" }, { "slug": "etsd-tech-mcp-pointer", "name": "etsd-tech/mcp-pointer", "vendor": "Various", "tagline": "MCP tool: let you point at DOM elements for your favorite agentic coding tool. Let AI see what you see.", "description": "An MCP server that lets users point at DOM elements on a web page, giving AI coding agents the same visual context. It translates selected DOM nodes into structured context that agentic coding tools can understand and act upon.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using MCP-compatible AI coding tools who need to reference specific UI elements", "useCases": [ "Point AI at specific UI elements during debugging sessions", "Provide visual context for code generation tasks targeting web interfaces", "Enable AI to target elements in automated web testing workflows" ], "pros": [ "Simple, intuitive way to share what you see with an AI agent", "Works with any MCP-compatible agentic coding tool", "Open source project with an active community (577 stars)" ], "cons": [ "Limited to DOM-based web pages and browser environments", "Requires an MCP-compatible AI coding tool to function", "May struggle with highly dynamic or shadow DOM elements" ], "tags": [ "agentic-coding", "browser", "claude-code", "cursor", "dom", "dom-element", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 577, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-11-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/etsd-tech/mcp-pointer", "relations": { "works_in": [ "cline", "claude-code", "cursor", "continue" ], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "browsermcp-mcp", "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/etsd-tech-mcp-pointer" }, { "slug": "evalstate-mcp-miro", "name": "evalstate/mcp-miro", "vendor": "Various", "tagline": "📇 ☁️ - Access MIRO whiteboards, bulk create and read items. Requires OAUTH key for REST API.", "description": "An MCP server that provides access to MIRO whiteboards via the Model Context Protocol. It supports bulk creating and reading items on MIRO boards using the MIRO REST API, which requires OAuth authentication.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to read from or write to MIRO whiteboards", "useCases": [ "Bulk create sticky notes or shapes on a MIRO board from AI responses", "Read all items from a MIRO board to feed context into an AI model", "Automate MIRO board updates through an MCP-compatible AI assistant" ], "pros": [ "Open source with a TypeScript codebase for type safety", "Leverages MCP for seamless integration with AI agents and editors", "Straightforward setup for developers familiar with API authentication" ], "cons": [ "Requires manual OAuth key configuration before use", "Functionality limited to what the MIRO REST API exposes", "Dependent on MIRO API uptime and rate limits" ], "tags": [], "featured": false, "tier": "curated", "stars": 110, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2024-12-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/evalstate/mcp-miro", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "glips-figma-context-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/evalstate-mcp-miro" }, { "slug": "evan-crx-permisapi-mcp", "name": "Evan-Crx/permisapi-mcp", "vendor": "Various", "tagline": "MCP server officiel pour PermisAPI (1,2 M+ permis de construire FR 2014-2026, Sitadel open data). 10 outils, pip-installable, stdio transport pour Claude Desktop / Cursor / Windsur", "description": "MCP server for accessing French building permit data via PermisAPI. It provides 10 tools over stdio transport for use with AI assistants like Claude Desktop, Cursor, and Windsurf. The server is installable via pip and covers permits from 2014 to 2026.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI workflows that need to query French building permit data", "useCases": [ "Query building permits by location or date range", "Analyze Sitadel open data for construction trends", "Integrate permit lookup into AI-assisted workflows" ], "pros": [ "Direct access to 1.2 million plus French building permits from official open data", "Easy installation via pip and stdio transport for multiple AI assistants", "Ten tools provide granular query capabilities without additional setup" ], "cons": [ "Limited to French building permits, not general purpose", "Zero stars on GitHub suggests early stage with minimal adoption", "Requires understanding of MCP protocol and compatible clients" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/Evan-Crx/permisapi-mcp", "relations": { "works_in": [ "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/evan-crx-permisapi-mcp" }, { "slug": "evan-moon-firma", "name": "evan-moon/firma", "vendor": "Various", "tagline": "Local-first CLI portfolio tracker for overseas investors, with built-in MCP server for Claude", "description": "Firma is a local-first CLI portfolio tracker designed for overseas investors. It stores data on the user's machine and includes a built-in MCP server for integration with Claude AI. The tool is written in TypeScript and runs in the terminal.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Overseas investors who prefer local data control and want AI-assisted portfolio tracking via Claude", "useCases": [ "Track overseas investment portfolios from the command line", "Analyze portfolio data using Claude via MCP server", "Maintain local control of financial data without cloud dependency" ], "pros": [ "Local-first design ensures data privacy and offline access", "Built-in MCP server enables AI-assisted portfolio analysis", "Lightweight and fast terminal-based interface" ], "cons": [ "Small user base may result in limited community resources and updates", "Requires comfort with command line tools and terminal workflows", "Feature set may be narrower than established portfolio trackers" ], "tags": [ "claude", "cli", "finnhub", "local-first", "mcp", "personal-finance", "portfolio", "sqlite" ], "featured": false, "tier": "curated", "stars": 37, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/evan-moon/firma", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/evan-moon-firma" }, { "slug": "evc-team-relay-mcp", "name": "evc-team-relay-mcp", "vendor": "Various", "tagline": "MCP server for reading and writing Obsidian vault documents via EVC Team Relay", "description": "MCP server that enables reading and writing documents in an Obsidian vault through the EVC Team Relay protocol. It acts as a bridge between MCP-compatible agents and Obsidian knowledge bases.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using EVC Team Relay who want MCP-based access to their Obsidian knowledge base", "useCases": [ "Reading Obsidian notes as context for AI agents", "Writing AI-generated summaries or entries to a vault", "Syncing structured data between external tools and Obsidian" ], "pros": [ "Connects Obsidian vaults directly to MCP tools without custom scripting", "Supports both read and write operations for full interaction", "Written in Python, easy to inspect and modify" ], "cons": [ "Requires an active EVC Team Relay service to function", "Low star count (2) suggests minimal community testing or documentation", "Limited to Obsidian vaults; no support for other note formats" ], "tags": [ "mcp", "mcp-server", "model-context-protocol", "obsidian", "obsidian-plugin" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/entire-vc/evc-team-relay-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "cline", "claude-code" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/evc-team-relay-mcp" }, { "slug": "eviscerations-whisper-windows-mcp", "name": "eviscerations/whisper-windows-mcp", "vendor": "Various", "tagline": "Windows-native MCP server for local audio transcription — GPU accelerated via Vulkan, works with Claude Desktop", "description": "A Windows-native MCP server that transcribes audio locally using GPU acceleration via Vulkan. It integrates with Claude Desktop for audio transcription tasks. Built in JavaScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Windows users who need local GPU-accelerated transcription for Claude Desktop", "useCases": [ "Transcribing audio files locally on Windows", "Providing transcription capabilities to Claude Desktop via MCP", "Leveraging GPU acceleration for faster transcription on compatible hardware" ], "pros": [ "Runs entirely locally, no cloud dependency", "GPU accelerated via Vulkan for performance", "Integrates directly with Claude Desktop" ], "cons": [ "Limited to Windows operating system", "Requires Vulkan-compatible GPU hardware", "Zero stars on GitHub indicates limited community adoption or testing" ], "tags": [ "amd", "audio", "batch-processing", "claude", "claude-desktop", "dual-license", "gpu-acceleration", "i18n" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "lastUpdated": "2026-05-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/eviscerations/whisper-windows-mcp", "relations": { "works_in": [], "uses": [ "whisper" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/eviscerations-whisper-windows-mcp" }, { "slug": "exa-labs-exa-mcp-server", "name": "exa-labs/exa-mcp-server", "vendor": "Various", "tagline": "Exa MCP for web search and web crawling!", "description": "Exa MCP Server implements the Model Context Protocol to provide web search and web crawling capabilities. It is built in TypeScript and allows AI agents to retrieve live web data through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based AI agents that need live web data", "useCases": [ "Integrating web search into an MCP-compatible AI agent", "Crawling web pages for content extraction via MCP tools", "Building a research assistant that queries the web in real time" ], "pros": [ "Open source with a large community (over 4,500 stars)", "Written in TypeScript, offering type safety and broad ecosystem compatibility", "Combines both search and crawling in one MCP server" ], "cons": [ "Requires an MCP-compatible client or framework to be useful", "Web crawling may be subject to rate limits and robots.txt restrictions", "As a server, it needs to be hosted or run locally, adding operational overhead" ], "tags": [ "code-search", "codesearch", "crawling", "mcp", "mcp-server", "model-context-protocol", "web-search", "websearch" ], "featured": false, "tier": "curated", "stars": 4513, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/exa-labs/exa-mcp-server", "relations": { "works_in": [ "cursor", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [ "microsoft-markitdown", "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/exa-labs-exa-mcp-server" }, { "slug": "executeautomation-playwright-mcp-server", "name": "executeautomation/playwright-mcp-server", "vendor": "Various", "tagline": "Playwright Model Context Protocol Server - Tool to automate Browsers and APIs in Claude Desktop, Cline, Cursor IDE and More 🔌", "description": "An open-source Model Context Protocol server that exposes Playwright browser and API automation to AI assistants such as Claude Desktop, Cline, and Cursor IDE. It enables AI agents to programmatically control browsers through a standardized interface powered by TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-integrated browser automation workflows", "useCases": [ "Automate browser tasks from Claude Desktop", "Integrate Playwright with Cline or Cursor IDE", "Run end-to-end tests via AI agents" ], "pros": [ "Works with multiple AI platforms using the MCP standard", "Leverages Playwright's reliable cross-browser automation", "Open-source with active community (over 5,500 stars)" ], "cons": [ "Requires users to set up and run a local server", "Dependent on the growing MCP ecosystem for compatibility", "May introduce latency compared to direct Playwright scripting" ], "tags": [], "featured": false, "tier": "curated", "stars": 5541, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-12-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/executeautomation/mcp-playwright", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "agent-infra-mcp-server-browser", "browsermcp-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/executeautomation-playwright-mcp-server" }, { "slug": "exoticknight-mcp-file-merger", "name": "exoticknight/mcp-file-merger", "vendor": "Various", "tagline": "MCP server for merging multiple files into one", "description": "A Model Context Protocol server that merges multiple files into a single file. It takes a list of file paths as input and outputs a combined file, primarily for use in LLM toolchains or batch processing.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a simple, scriptable way to combine multiple files for LLM input or automated pipelines.", "useCases": [ "Combining multiple source code files into one context for LLM prompts", "Merging configuration or log files into a single document for analysis", "Concatenating text files as a preprocessing step in developer workflows" ], "pros": [ "Lightweight and focused on a single merging task", "Easy to integrate with any MCP-compatible client or toolchain", "Open source with a simple codebase for customization" ], "cons": [ "No built-in file deduplication or conflict resolution", "Only merges file contents without transformations or filtering", "Limited to local file system access" ], "tags": [], "featured": false, "tier": "curated", "stars": 26, "language": [ "JavaScript" ], "license": "Apache-2.0", "lastUpdated": "2025-09-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/exoticknight/mcp-file-merger", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "microsoft-markitdown" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/exoticknight-mcp-file-merger" }, { "slug": "expertvagabond-solana-mcp-server", "name": "ExpertVagabond/solana-mcp-server", "vendor": "Various", "tagline": "Solana MCP server for wallet management, transactions, and program interactions", "description": "A JavaScript-based MCP server that enables wallet management, transaction handling, and program interactions on the Solana blockchain. It exposes these capabilities through the Model Context Protocol for integration with AI agents and developer tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or tools that need to interact with the Solana blockchain", "useCases": [ "Managing Solana wallets and keypairs programmatically", "Sending and monitoring Solana transactions via MCP", "Interacting with Solana smart contracts and programs" ], "pros": [ "Provides a standardized MCP interface for Solana operations", "Written in JavaScript, accessible to a wide developer audience", "Covers core Solana interactions in a single server" ], "cons": [ "Zero stars and limited community adoption or validation", "No documented test coverage or usage examples", "May lack production hardening or edge case handling" ], "tags": [ "ai", "ai-tools", "mcp", "mcp-server", "model-context-protocol", "solana", "tools" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/ExpertVagabond/solana-mcp-server", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/expertvagabond-solana-mcp-server" }, { "slug": "expertvagabond-solmail-mcp", "name": "ExpertVagabond/solmail-mcp", "vendor": "Various", "tagline": "MCP server for sending physical mail with Solana cryptocurrency. Colosseum Agent Hackathon submission.", "description": "A Model Context Protocol (MCP) server that enables sending physical mail using Solana cryptocurrency payments. Built as a submission for the Colosseum Agent Hackathon, it integrates Solana blockchain transactions with a physical mail delivery service.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with blockchain-based physical mail delivery in agent workflows.", "useCases": [ "Send physical mail to any address by paying with Solana through an MCP-compatible client.", "Automate physical mail delivery as part of an agent workflow using cryptocurrency.", "Prototype blockchain-based mail services in hackathon or experimental settings." ], "pros": [ "Leverages Solana for fast, low-cost cryptocurrency transactions.", "Provides a straightforward MCP interface for AI agents to send physical mail.", "Open source JavaScript implementation for transparency and customization." ], "cons": [ "Hackathon project with no public stars or evidence of active maintenance.", "Relies on external physical mail delivery service which may have its own costs and limitations.", "Untested in production; stability and security not established." ], "tags": [ "ai", "blockchain", "cryptocurrency", "hackathon", "mail", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/ExpertVagabond/solmail-mcp", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/expertvagabond-solmail-mcp" }, { "slug": "eyaltoledano-claude-task-master", "name": "eyaltoledano/claude-task-master", "vendor": "Various", "tagline": "An AI-powered task-management system you can drop into Cursor, Lovable, Windsurf, Roo, and others.", "description": "A task-management system written in JavaScript that integrates with Cursor, Lovable, Windsurf, Roo, and similar AI code editors. It helps organize and track development tasks within these IDEs by providing structured task handling alongside Claude.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude-based code editors who need persistent task tracking across sessions", "useCases": [ "Organizing multi-step coding projects in AI-assisted editors", "Tracking task completion and dependencies during development", "Managing workflows that span multiple AI editor sessions" ], "pros": [ "Works across multiple popular AI code editors without switching tools", "Open source with substantial community adoption (27k+ stars)", "Lightweight JavaScript implementation, easy to inspect and modify" ], "cons": [ "Limited to JavaScript ecosystem, not language-agnostic", "Requires manual integration into each supported editor", "Community-maintained project with no official vendor backing" ], "tags": [ "ai", "cursor", "cursor-ai", "cursorai", "lovable", "lovable-dev", "roocode", "task-manager" ], "featured": false, "tier": "curated", "stars": 27304, "language": [ "JavaScript" ], "lastUpdated": "2026-04-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/eyaltoledano/claude-task-master", "relations": { "works_in": [ "cursor", "roocode" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/eyaltoledano-claude-task-master" }, { "slug": "eyalzh-browser-control-mcp", "name": "eyalzh/browser-control-mcp", "vendor": "Various", "tagline": "MCP server paired with a browser extension that enables AI agents to control the user's browser.", "description": "A Model Context Protocol server that pairs with a browser extension, allowing AI agents to control the user's browser. It enables programmatic navigation, clicking, form filling, and data extraction through the extension's bridge.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to give AI agents hands-on browser control for testing or workflow automation", "useCases": [ "Automate repetitive web tasks like form submissions or data scraping", "Let AI assistants navigate and interact with web apps during development", "Create end-to-end browser tests controlled by language model agents" ], "pros": [ "Direct browser control via MCP integrates with many AI agent frameworks", "Open source with a client-side extension keeps user data local", "TypeScript codebase is accessible for custom modifications" ], "cons": [ "Requires installing both a browser extension and MCP server", "Limited to scenarios where the extension is actively running and authorized", "May face restrictions on cross-origin or complex JavaScript-heavy sites" ], "tags": [ "browser-extension", "firefox", "mcp" ], "featured": false, "tier": "curated", "stars": 287, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/eyalzh/browser-control-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "browsermcp-mcp", "agent-infra-mcp-server-browser", "executeautomation-playwright-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/eyalzh-browser-control-mcp" }, { "slug": "eyaushev-swagger-testcase-mcp", "name": "eyaushev/swagger-testcase-mcp", "vendor": "Various", "tagline": "MCP server for API testing: generates test cases, validates specs, compares versions, and creates mock data from Swagger/OpenAPI specifications", "description": "This MCP server generates test cases, validates specifications, compares API versions, and creates mock data from Swagger/OpenAPI specifications. It is written in TypeScript and available as an open-source tool on GitHub.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a lightweight MCP server to quickly generate test cases and validate APIs from OpenAPI specifications.", "useCases": [ "Generate automated test cases from existing OpenAPI specs", "Validate API specifications for consistency and completeness", "Compare different versions of an API to identify breaking changes" ], "pros": [ "Provides a focused, MCP-based approach for API testing", "Covers multiple testing needs from one tool", "Open source with TypeScript for easy extension" ], "cons": [ "Very low community adoption (1 star) indicating limited real-world validation", "May lack extensive documentation or examples for complex scenarios", "Requires existing Swagger/OpenAPI specification as input" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/eyaushev/swagger-testcase-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/eyaushev-swagger-testcase-mcp" }, { "slug": "eyloni-pythia-oracle", "name": "eyloni/pythia-oracle", "vendor": "Various", "tagline": "eyloni/pythia-oracle — indexed from awesome-mcp-servers-punkpeye", "description": "eyloni/pythia-oracle is a Python repository listed in the awesome-mcp-servers-punkpeye index. The project has no documentation or stars, making its intended functionality unclear. It is categorized as a developer tool.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers researching obscure or early-stage MCP server projects", "useCases": [ "Exploring MCP server implementations", "Developing experimental Python-based AI tooling", "Referencing as a discovered entry in a curated list" ], "pros": [ "Listed in a popular MCP servers collection", "Open source with a public repository", "Written in Python for broad compatibility" ], "cons": [ "No documentation, usage examples, or description", "Zero stars indicates minimal adoption or active development", "Repository may be incomplete or abandoned" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "lastUpdated": "2026-03-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/eyloni/pythia-oracle", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/eyloni-pythia-oracle" }, { "slug": "ezyang-codemcp", "name": "ezyang/codemcp", "vendor": "Various", "tagline": "Coding assistant MCP for Claude Desktop", "description": "ezyang/codemcp is an open-source Python tool that implements the Model Context Protocol (MCP) to integrate coding assistance directly into Claude Desktop. It allows Claude to read, write, and manage files in a project directory through structured MCP commands.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude Desktop who want direct file manipulation capabilities in their coding workflow.", "useCases": [ "Automate file edits and code generation within a Claude Desktop session", "Manage project files by letting Claude create, update, or delete them", "Integrate Claude's reasoning with local codebases for rapid prototyping" ], "pros": [ "Lightweight and focused on a single integration point", "Open-source with active community (1,613 stars)", "Works with existing Claude Desktop setup" ], "cons": [ "Requires Claude Desktop and MCP configuration", "Limited to file operations; no built-in debugging or execution", "Python-only, may need adaptation for non-Python projects" ], "tags": [], "featured": false, "tier": "curated", "stars": 1613, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2025-12-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/ezyang/codemcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "wonderwhy-er-desktopcommandermcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ezyang-codemcp" }, { "slug": "f4ww4z-mcp-mysql-server", "name": "f4ww4z/mcp-mysql-server", "vendor": "Various", "tagline": "A Model Context Protocol server for MySQL database operations", "description": "An open-source Model Context Protocol server that enables AI assistants to perform MySQL database operations. It exposes database queries and commands as MCP tools, allowing language models to read, write, and manage MySQL data through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or assistants that need to interact with MySQL databases", "useCases": [ "Query MySQL databases from AI chat interfaces", "Automate database maintenance tasks via AI agents", "Integrate MySQL data access into MCP-compatible workflows" ], "pros": [ "Open source with a permissive license", "Implements the standard MCP protocol for broad compatibility", "Lightweight JavaScript implementation easy to deploy" ], "cons": [ "Limited to MySQL databases only", "Requires running a separate server process", "Direct database access may pose security risks if not properly scoped" ], "tags": [], "featured": false, "tier": "curated", "stars": 161, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2025-11-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/f4ww4z/mcp-mysql-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/f4ww4z-mcp-mysql-server" }, { "slug": "fabio-rovai-open-ontologies", "name": "fabio-rovai/open-ontologies", "vendor": "Various", "tagline": "AI-native ontology engine: a Rust MCP server with tools for building, validating, querying, and reasoning over RDF/OWL ontologies. In-memory Oxigraph triple store, native OWL2-DL t", "description": "Open-ontologies is a Rust MCP server for building, validating, querying, and reasoning over RDF/OWL ontologies. It uses an in-memory Oxigraph triple store with a native OWL2-DL tableaux reasoner, SHACL validation, and SPARQL support. The single binary runs without a JVM.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Rust developers needing a fast, self-contained ontology engine for embedded or server-side use", "useCases": [ "Embedding ontology reasoning into Rust applications", "Validating RDF data against SHACL shapes", "Running SPARQL queries on in-memory ontologies" ], "pros": [ "Lightweight single binary with no JVM dependency", "Native OWL2-DL reasoning and SHACL validation built-in", "Simple MCP server interface for integration" ], "cons": [ "In-memory store limits ontology size to available RAM", "No built-in persistence or distributed query capabilities", "Smaller community and fewer integrations than Java-based alternatives" ], "tags": [ "ai-native", "claude", "description-logics", "knowledge-graph", "linked-data", "mcp", "mcp-server", "ontology" ], "featured": false, "tier": "curated", "stars": 126, "language": [ "Rust" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/fabio-rovai/open-ontologies", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/fabio-rovai-open-ontologies" }, { "slug": "fabio662-yieldagentx402-sdks", "name": "Fabio662/yieldagentx402-sdks", "vendor": "Various", "tagline": "Public SDKs for YieldAgentX402 — MCP server, receipt verifier, CrewAI tools. Custody-free, policy-gated agent execution across 18 chains.", "description": "Public SDKs for YieldAgentX402. Includes an MCP server, receipt verifier, and CrewAI tools. Enables custody-free, policy-gated agent execution across 18 chains.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building multi-chain agent systems with policy controls and custody-free constraints", "useCases": [ "Integrate MCP server for agent communication", "Verify receipts in multi-chain agent workflows", "Build CrewAI agents with policy-gated execution" ], "pros": [ "Custody-free execution reduces key management overhead", "Policy gating enables controlled agent behavior across chains", "Supports 18 blockchains for broad interoperability" ], "cons": [ "No community adoption indicated (0 stars)", "Tied to YieldAgentX402 ecosystem", "Limited documentation or examples publicly available" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/Fabio662/yieldagentx402-sdks", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/fabio662-yieldagentx402-sdks" }, { "slug": "falsifylab-falsifylab-alpha-mcp", "name": "FalsifyLab/falsifylab-alpha-mcp", "vendor": "Various", "tagline": "13 live finance MCP tools for AI coding agents (Cursor, Claude Code, Cline, Windsurf). SEC insider clusters, 8-K filings, ETF flows, DeFi yields, Polymarket whales, onchain smart w", "description": "A collection of 13 live finance MCP tools for AI coding agents such as Cursor, Claude Code, Cline, and Windsurf. It provides access to SEC insider clusters, 8-K filings, ETF flows, DeFi yields, Polymarket whales, onchain smart wallets, confluence signals, earnings drift, token unlocks, and Fed comm radar. A free tier is available with no signup required.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "AI developers building financial analysis tools or trading assistants", "useCases": [ "Analyze SEC insider trading clusters and 8-K filings for market intelligence", "Track ETF flows, DeFi yields, and Polymarket whale positions", "Monitor earnings drift, token unlocks, and Fed communications" ], "pros": [ "Free tier with no signup required", "Covers a wide range of financial data sources in one package", "Compatible with multiple popular AI coding agents" ], "cons": [ "Zero stars on GitHub may indicate early stage or limited adoption", "Narrow focus on finance only, not general-purpose", "No clear documentation on data freshness or uptime guarantees" ], "tags": [ "ai-agents", "claude-code", "cursor", "defi", "finance-data", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/FalsifyLab/falsifylab-alpha-mcp", "relations": { "works_in": [ "cursor", "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/falsifylab-falsifylab-alpha-mcp" }, { "slug": "facundolucci-plsreadme", "name": "FacundoLucci/plsreadme", "vendor": "Various", "tagline": "FacundoLucci/plsreadme — indexed from awesome-mcp-servers-punkpeye", "description": "FacundoLucci/plsreadme is a minimal MCP server written in TypeScript for generating README files. It is indexed from the awesome-mcp-servers list and has very low community adoption.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers looking for a bare-bones README generator in the MCP toolchain", "useCases": [ "Generate README documentation for new projects", "Automate standard README creation with MCP-compatible tools", "Quickly scaffold a basic project README" ], "pros": [ "Open source and freely available on GitHub", "Written in TypeScript for type safety", "Integrates with MCP ecosystem" ], "cons": [ "Very few stars indicating limited usage or maintenance", "No evident documentation beyond the repository entry" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/FacundoLucci/plsreadme", "relations": { "works_in": [], "uses": [], "built_with": [ "awslabs-mcp" ], "pairs_with": [ "microsoft-markitdown" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/facundolucci-plsreadme" }, { "slug": "fan-token-intel-mcp", "name": "Fan Token Intel MCP", "vendor": "Various", "tagline": "🐍 ☁️ - 67+ tools for fan token intelligence: whale flows, signal scores, sports calendar, backtesting, DEX trading, social sentiment. SSE transport with Bearer auth.", "description": "Fan Token Intel MCP provides 67+ tools for fan token intelligence, including whale flow tracking, signal scoring, sports calendar data, backtesting, DEX trading, and social sentiment analysis. It uses SSE transport with Bearer authentication.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building automated trading or analytics tools for fan token markets", "useCases": [ "Monitor whale wallet movements for fan tokens", "Backtest trading strategies on historical fan token data", "Track sports calendar events and social sentiment for tokens" ], "pros": [ "Large set of specialized tools for fan token analysis", "Includes both on-chain and off-chain data sources", "Supports real-time streaming via SSE" ], "cons": [ "Requires Bearer auth setup for SSE transport", "Limited to fan token ecosystem only", "No built-in visualization or dashboard" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/BrunoPessoa22/chiliz-marketing-intel", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/fan-token-intel-mcp" }, { "slug": "fantasieleven-code-callout", "name": "fantasieleven-code/callout", "vendor": "Various", "tagline": "fantasieleven-code/callout — indexed from awesome-mcp-servers-punkpeye", "description": "A TypeScript-based MCP server that provides callout functionality. It is indexed from the awesome-mcp-servers-punkpeye collection and has 2 stars on GitHub.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with MCP servers who need a simple callout implementation", "useCases": [ "Integrating callout features into MCP-compatible applications", "Building structured callout messages in developer tools", "Extending MCP server capabilities with callout support" ], "pros": [ "Lightweight and focused on a single feature", "Written in TypeScript for type safety", "Part of a curated MCP server collection" ], "cons": [ "Very low community adoption with only 2 stars", "Limited documentation and usage examples", "Narrow scope may not suit complex use cases" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/fantasieleven-code/callout", "relations": { "works_in": [ "claude-code", "continue", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/fantasieleven-code-callout" }, { "slug": "fantomaskarus1-telegram-bot-mcp", "name": "FantomaSkaRus1/telegram-bot-mcp", "vendor": "Various", "tagline": "Full-featured Telegram Bot API MCP server with 174 tools for Claude Code and AI agents", "description": "This open source server exposes 174 Telegram Bot API tools for use with Claude Code and other AI agents. It is written in JavaScript and acts as a bridge between Telegram bots and agent workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a ready-made MCP server to give Claude Code full Telegram Bot API capabilities", "useCases": [ "Building Telegram bots that can be controlled or extended by Claude Code agents", "Automating Telegram message sending, editing, and polling via AI agent commands", "Integrating Telegram chat interactions into larger agent orchestration pipelines" ], "pros": [ "Offers extensive coverage of the Telegram Bot API with 174 tools", "Designed specifically for integration with Claude Code and AI agents", "Open source and straightforward to self-host or modify" ], "cons": [ "Low GitHub star count indicates limited community adoption and testing", "Documentation and usage examples may be sparse", "Compatibility is primarily described for Claude Code, not all AI agent platforms" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/FantomaSkaRus1/telegram-bot-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/fantomaskarus1-telegram-bot-mcp" }, { "slug": "fastalertnow-mcp-server", "name": "FastAlertNow/mcp-server", "vendor": "Various", "tagline": "🎖️ 📇 ☁️ - Official Model Context Protocol (MCP) server for FastAlert. This server allows AI agents (like Claude, ChatGPT, and Cursor) to list of your channels and send notificati", "description": "An MCP server that integrates FastAlert notifications with AI agents. It enables listing available channels and sending alerts from tools like Claude or ChatGPT.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using FastAlert who want their AI agents to send notifications", "useCases": [ "List notification channels from an AI agent", "Send alerts through FastAlert directly from a conversation", "Integrate notifications into AI workflows" ], "pros": [ "Simple setup for FastAlert users", "Leverages Model Context Protocol for agent interoperability", "Lightweight TypeScript implementation" ], "cons": [ "Very early stage with only 1 star", "Limited to FastAlert service only", "Requires a FastAlert account" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "lastUpdated": "2026-02-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/FastAlertNow/mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "lharries-whatsapp-mcp", "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/fastalertnow-mcp-server" }, { "slug": "fastmcp", "name": "FastMCP", "vendor": "Various", "tagline": "🚀 The fast, Pythonic way to build MCP servers and clients.", "description": "FastMCP is a Python framework for building Model Context Protocol (MCP) servers and clients with minimal boilerplate. It provides decorators and utilities to define MCP tools, resources, and prompts in a straightforward, Pythonic style. Designed for rapid development of MCP integrations without verbose configuration.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Python developers building LLM integrations who want to expose tools and data sources via the Model Context Protocol without writing boilerplate.", "useCases": [ "Building MCP servers that expose Python functions as tools for Claude or other LLMs", "Creating MCP clients that connect to multiple servers and aggregate their capabilities", "Prototyping LLM integrations with custom data sources or business logic" ], "pros": [ "Low boilerplate. Decorator-based API reduces setup friction compared to manual MCP implementation", "Python-native. Leverages familiar Python patterns and async/await for developers already in the ecosystem", "Active community. 25k+ stars indicates adoption and ongoing maintenance" ], "cons": [ "Python-only. Not suitable for teams or projects requiring other languages", "MCP specification dependency. Requires understanding of MCP protocol; not a general-purpose framework", "Maturity unknown. Early-stage tooling may have breaking changes or incomplete feature coverage" ], "tags": [ "agents", "fastmcp", "llms", "mcp", "mcp-clients", "mcp-servers", "mcp-tools", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 25425, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/jlowin/fastmcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/fastmcp" }, { "slug": "fasuizu-br-brainiall-mcp-server", "name": "fasuizu-br/brainiall-mcp-server", "vendor": "Various", "tagline": "MCP Server for Brainiall Speech AI - pronunciation assessment, speech-to-text, and text-to-speech", "description": "An MCP server that wraps Brainiall Speech AI to provide pronunciation assessment, speech-to-text, and text-to-speech capabilities. It exposes these speech functions through the Model Context Protocol for integration with compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to add Brainiall speech features to MCP-compatible applications", "useCases": [ "Add pronunciation scoring to language learning apps", "Enable speech-to-text transcription in MCP-based tools", "Generate spoken audio from text via text-to-speech" ], "pros": [ "Leverages the MCP protocol for standardized integration", "Written in Python, easy to extend or modify", "Open source with no licensing restrictions" ], "cons": [ "Zero stars and no community adoption indicates limited testing", "Requires a Brainiall API key and internet access", "No documentation or usage examples provided in the repository" ], "tags": [ "brainiall", "fastmcp", "mcp", "mcp-server", "pronunciation", "speech-ai", "speech-to-text", "stt" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/fasuizu-br/brainiall-mcp-server", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/fasuizu-br-brainiall-mcp-server" }, { "slug": "fatwang2-search1api-mcp", "name": "fatwang2/search1api-mcp", "vendor": "Various", "tagline": "📇 ☁️ - Search via search1api (requires paid API key)", "description": "A Model Context Protocol (MCP) server that provides web search functionality via the search1api service. It requires a paid API key to operate and is written in TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based AI tools who need straightforward web search without self-scraping", "useCases": [ "Integrate real-time web search into MCP-compatible AI assistants", "Enable AI tools to retrieve up-to-date information from the web", "Add search capability to MCP clients like Claude Desktop" ], "pros": [ "Simple drop-in MCP integration for search", "Leverages a dedicated search API for reliable results", "TypeScript implementation offers type safety and ease of use" ], "cons": [ "Requires a paid API key, so not free to use", "Limited to the features and uptime of the search1api service", "Dependency on an external paid service may be a barrier for some projects" ], "tags": [], "featured": false, "tier": "curated", "stars": 172, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/fatwang2/search1api-mcp", "relations": { "works_in": [ "claude-code", "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "exa-labs-exa-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/fatwang2-search1api-mcp" }, { "slug": "fayandxan-spectrawl", "name": "FayAndXan/spectrawl", "vendor": "Various", "tagline": "The unified web layer for AI agents. Search (8 engines), stealth browse, auth, and act on 24 platforms. One npm install, self-hosted.", "description": "Spectrawl is a self-hosted JavaScript library that provides a unified web layer for AI agents. It enables search across eight engines, stealth browsing, authentication, and actions on 24 platforms via a single npm install.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to interact with multiple web services and platforms from a single codebase.", "useCases": [ "Building AI agents that need to search and extract data from multiple web sources", "Automating authenticated actions across various online platforms", "Creating stealth browsing scripts for web scraping without detection" ], "pros": [ "Unified interface for multiple search engines and platforms reduces integration effort", "Self-hosted, giving full control over data and privacy", "Stealth browsing capability helps avoid bot detection" ], "cons": [ "Small community with only 24 stars, indicating limited adoption and support", "Self-hosting requires maintenance and infrastructure management", "Limited to JavaScript ecosystem, not usable in other languages" ], "tags": [ "ai-agents", "browser-automation", "mcp", "mcp-server", "model-context-protocol", "nodejs", "search-engine", "self-hosted" ], "featured": false, "tier": "curated", "stars": 24, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/FayAndXan/spectrawl", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "browsermcp-mcp", "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/fayandxan-spectrawl" }, { "slug": "felippeyann-agentfi", "name": "felippeyann/agentfi", "vendor": "Various", "tagline": "felippeyann/agentfi — indexed from awesome-mcp-servers-punkpeye", "description": "An HTML repository listed in the awesome-mcp-servers-punkpeye collection. Its functionality is not described beyond the listing, and it has no stars.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers browsing the awesome-mcp-servers collection for potential examples.", "useCases": [ "Reference for MCP server listings", "Example of a minimal repository", "Exploration of the awesome-mcp-servers-punkpeye index" ], "pros": [ "Included in a curated list of MCP servers", "Simple HTML codebase", "Publicly accessible for review" ], "cons": [ "No stars indicating low community engagement", "Unclear purpose or functionality", "Possible incomplete or experimental project" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "HTML" ], "lastUpdated": "2026-05-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/felippeyann/agentfi", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/felippeyann-agentfi" }, { "slug": "ferdousbhai-investor-agent", "name": "ferdousbhai/investor-agent", "vendor": "Various", "tagline": "A Model Context Protocol server for building an investor agent", "description": "This is an open-source Model Context Protocol server that provides tools for building an investor agent. It allows AI assistants to access investment-related data and perform analysis through a standardized protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers creating investor-focused AI agents that use the Model Context Protocol", "useCases": [ "Developing an AI agent that answers investment queries and provides market data", "Integrating financial analysis capabilities into agentic workflows", "Building a research tool that leverages large language models for stock insights" ], "pros": [ "Open source with 330 GitHub stars, indicating community interest", "Written in TypeScript, offering type safety and easier integration", "Adheres to the Model Context Protocol, enabling interoperability with other MCP tools" ], "cons": [ "Requires understanding of the Model Context Protocol to set up and use", "Limited to the tools provided by the server; may not cover all financial data needs", "Relatively early-stage project, so documentation and stability may evolve" ], "tags": [], "featured": false, "tier": "curated", "stars": 330, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/ferdousbhai/investor-agent", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ferdousbhai-investor-agent" }, { "slug": "ferdousbhai-tasty-agent", "name": "ferdousbhai/tasty-agent", "vendor": "Various", "tagline": "Let Claude manage your tastytrade portfolio.", "description": "A Python agent that connects Claude's language model to tastytrade for portfolio management. It allows users to execute trades, monitor positions, and manage account activity through natural language instructions sent to Claude.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to automate their tastytrade portfolio using natural language commands via Claude.", "useCases": [ "Executing trades on tastytrade using natural language commands", "Checking portfolio balances and open positions via Claude", "Setting up automated trading rules communicated through Claude" ], "pros": [ "Open source code on GitHub for transparency and customization", "Leverages Claude's natural language understanding for trading", "Simple Python setup for developers" ], "cons": [ "Requires separate API keys for both Claude and tastytrade", "Relatively low popularity (68 stars) limits community support", "Automated trading carries financial risk and lacks built-in safeguards" ], "tags": [ "finance", "investing", "options", "stocks", "tastytrade", "trading" ], "featured": false, "tier": "curated", "stars": 68, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/ferdousbhai/tasty-agent", "relations": { "works_in": [ "anthropic-computer-use" ], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ferdousbhai-tasty-agent" }, { "slug": "ferdousbhai-wsb-analyst-mcp", "name": "ferdousbhai/wsb-analyst-mcp", "vendor": "Various", "tagline": "MCP server for analyzing WallStreetBets", "description": "An MCP server that retrieves and analyzes posts from the WallStreetBets subreddit. It processes Reddit data to extract stock mentions, sentiment, and trending discussions for integration into AI agents.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-compatible agents that need WallStreetBets sentiment and stock mention data.", "useCases": [ "Track trending stocks and tickers mentioned on WallStreetBets", "Analyze sentiment of WSB posts for market sentiment signals", "Integrate WSB discussion data into agentic workflows or dashboards" ], "pros": [ "Open-source Python project with clear MCP protocol support", "Directly taps into real-time WSB community discussions", "Lightweight and easy to integrate into existing MCP-based tools" ], "cons": [ "Limited to a single subreddit, not general market data", "Requires Reddit API credentials and proper rate limit handling", "No built-in filtering or scoring beyond basic extraction" ], "tags": [], "featured": false, "tier": "curated", "stars": 26, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-09-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/ferdousbhai/wsb-analyst-mcp", "relations": { "works_in": [ "cline", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ferdousbhai-wsb-analyst-mcp" }, { "slug": "fernikolic-clawdentials", "name": "fernikolic/clawdentials", "vendor": "Various", "tagline": "📇 ☁️ - Trust layer for AI agent commerce — escrow-protected payments, verifiable reputation scores, and Nostr identity (NIP-05) for agents. Supports USDC, USDT, and BTC (Cashu).", "description": "Clawdentials provides a trust layer for AI agent commerce, enabling escrow-protected payments and verifiable reputation scores. It uses Nostr identity (NIP-05) for agents and supports USDC, USDT, and BTC (Cashu) as payment methods.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need secure, verifiable payments and identity", "useCases": [ "Secure payments between AI agents using escrow", "Verify agent reputation and identity via Nostr", "Integrate decentralized payment options into agent workflows" ], "pros": [ "Decentralized trust without intermediaries", "Supports multiple cryptocurrencies", "Built on Nostr for open identity" ], "cons": [ "Relies on Nostr infrastructure which may have adoption barriers", "Only supports specific tokens (USDC, USDT, BTC Cashu)", "Likely early-stage with limited community" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/fernikolic/clawdentials", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/fernikolic-clawdentials" }, { "slug": "fernsugi-x402-api-server", "name": "fernsugi/x402-api-server", "vendor": "Various", "tagline": "x402 protocol API server — pay-per-call DeFi data endpoints using USDC micropayments on Base", "description": "An API server implementing the x402 protocol for pay-per-call DeFi data endpoints. It enables USDC micropayments on the Base network for each API request. Built in JavaScript, it provides a server that handles payment verification and data delivery.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building DeFi applications that need pay-per-call data access with USDC micropayments on Base", "useCases": [ "Serve DeFi data endpoints with per-call USDC micropayments", "Integrate pay-per-use data feeds into dApps on Base", "Build a monetized API for blockchain data without subscriptions" ], "pros": [ "Implements the x402 protocol for standardized pay-per-call payments", "Uses USDC on Base for low-cost micropayments", "Open source and customizable for specific data endpoints" ], "cons": [ "Very early stage with only 2 GitHub stars and limited community", "Currently only supports Base network for payments", "Requires running and maintaining your own server instance" ], "tags": [ "ai-agent", "crypto", "defi", "elizaos-plugins", "mcp", "micropayments", "usdc", "x402" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "JavaScript" ], "lastUpdated": "2026-03-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/fernsugi/x402-api-server/tree/main/mcp-server", "relations": { "works_in": [ "cline", "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/fernsugi-x402-api-server" }, { "slug": "ferodrigop-forge", "name": "ferodrigop/forge", "vendor": "Various", "tagline": "Terminal MCP server for AI coding agents — spawn, manage, and monitor PTY sessions via the Model Context Protocol", "description": "A terminal MCP server that lets AI coding agents spawn, manage, and monitor PTY sessions using the Model Context Protocol. It provides a standardized interface for agents to run shell commands and capture terminal output.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI coding agents that require direct terminal interaction via MCP", "useCases": [ "Let an AI agent run shell commands in a controlled PTY session", "Monitor and capture terminal output from an agent", "Manage multiple concurrent PTY sessions for agent-driven workflows" ], "pros": [ "Exposes terminal access through a standard MCP interface", "Written in TypeScript, offering type safety for integration", "Enables programmatic control of PTY sessions for agents" ], "cons": [ "Very small community with only 15 GitHub stars", "Likely limited documentation and examples", "Relies on the Model Context Protocol, which may not be widely adopted" ], "tags": [], "featured": false, "tier": "curated", "stars": 15, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/ferodrigop/forge", "relations": { "works_in": [ "cline", "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "wonderwhy-er-desktopcommandermcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ferodrigop-forge" }, { "slug": "ferrants-memvid-mcp-server", "name": "ferrants/memvid-mcp-server", "vendor": "Various", "tagline": "A Streamable HTTP MCP Server for Memvid", "description": "This is a Streamable HTTP MCP server that exposes Memvid functionality as a tool for AI agents. It allows agents to generate videos from images and text using the Memvid API.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to generate short videos programmatically", "useCases": [ "Generate short videos from image and text prompts via an AI agent", "Integrate video creation into automated workflows or pipelines", "Prototype video generation features with minimal frontend code" ], "pros": [ "Simple MCP interface for agent integration", "Leverages existing Memvid API for video generation", "Lightweight Python server with low overhead" ], "cons": [ "Very small community (10 stars) with limited support", "Depends on external Memvid API availability and pricing", "No built-in error handling or retry logic visible" ], "tags": [], "featured": false, "tier": "curated", "stars": 10, "language": [ "Python" ], "lastUpdated": "2025-06-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/ferrants/memvid-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "ahujasid-blender-mcp", "glips-figma-context-mcp", "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ferrants-memvid-mcp-server" }, { "slug": "ferrislucas-iterm-mcp", "name": "ferrislucas/iterm-mcp", "vendor": "Various", "tagline": "A Model Context Protocol server that executes commands in the current iTerm session - useful for REPL and CLI assistance", "description": "This tool is a Model Context Protocol server that lets AI assistants execute commands directly in the user's current iTerm session. It enables interactive workflows like REPL loops and CLI assistance. The server runs locally and communicates with MCP-compatible AI clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers on macOS who want AI assistants to execute commands directly in their iTerm terminal", "useCases": [ "Execute shell commands via an AI assistant", "Run REPL sessions interactively in iTerm", "Automate CLI workflows from a chat interface" ], "pros": [ "Leverages the existing iTerm session context and environment", "Open source with a visible community (557 stars on GitHub)", "Straightforward TypeScript implementation for easy customization" ], "cons": [ "Limited to macOS because it requires iTerm2", "Commands execute in a real terminal with no built-in sandboxing or approval prompts", "User must trust the AI instructions to avoid unintended actions" ], "tags": [ "ai", "claude", "claude-ai", "mcp", "mcp-server", "repl" ], "featured": false, "tier": "curated", "stars": 557, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-09-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/ferrislucas/iterm-mcp", "relations": { "works_in": [ "cline", "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [ "wonderwhy-er-desktopcommandermcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ferrislucas-iterm-mcp" }, { "slug": "feuerdev-keep-mcp", "name": "feuerdev/keep-mcp", "vendor": "Various", "tagline": "MCP server for Google Keep", "description": "An MCP server that exposes Google Keep functionality through the Model Context Protocol. It enables AI agents to create, read, and update Keep notes programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need direct access to Google Keep notes", "useCases": [ "Automating note capture from AI conversations", "Syncing task lists between AI agents and Google Keep", "Integrating Keep into custom workflow automations" ], "pros": [ "Open source and written in Python for easy customization", "Implements standard MCP for interoperability with AI agents", "Lightweight and focused on a single service" ], "cons": [ "Small user base with only 77 GitHub stars", "Requires manual Google API setup and authentication", "Dependent on the evolving MCP ecosystem" ], "tags": [], "featured": false, "tier": "curated", "stars": 77, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-02-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/feuerdev/keep-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "elie222-inbox-zero" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/feuerdev-keep-mcp" }, { "slug": "financialdatanet-mcp-server", "name": "financialdatanet/mcp-server", "vendor": "Various", "tagline": "🐍 🏠 🪟 🐧 - [FinancialData.Net](https://financialdata.net/) MCP server allows you to retrieve end-of-day and intraday stock market data, company financial statements, insider and", "description": "An MCP server that retrieves end-of-day and intraday stock market data, company financial statements, and insider transactions via the FinancialData.net API. It is open source and supports multiple operating systems including Linux, Windows, and macOS. Designed for integration with MCP-compatible clients to provide financial data to AI agents.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or tools that need programmatic access to stock market and financial data", "useCases": [ "Fetch historical and intraday stock prices for quantitative analysis", "Access company financial statements for fundamental research", "Retrieve insider trading data for market monitoring" ], "pros": [ "Open source with a permissive license", "Cross-platform support (Linux, Windows, macOS)", "Provides a broad range of financial data types from a single API" ], "cons": [ "Requires an API key from FinancialData.net (may have usage limits)", "Data coverage depends on the underlying API's availability and accuracy", "Needs an MCP-compatible client or framework to be useful" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/financialdatanet/mcp-server", "relations": { "works_in": [ "cline", "continue", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/financialdatanet-mcp-server" }, { "slug": "fireproof-storage-mcp-database-server", "name": "fireproof-storage/mcp-database-server", "vendor": "Various", "tagline": "Store and load JSON documents from LLM tool use", "description": "Implements a Model Context Protocol (MCP) server for reading and writing JSON documents. Designed to let LLM tool-use sessions store and load structured data from a persistent database.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based tools or agents that need straightforward, file-backed JSON persistence", "useCases": [ "Save and retrieve conversation context or session state in MCP-compatible AI assistants", "Persist outputs from tool calls for later analysis or reuse", "Enable agents to share JSON-based data across multiple tool invocations" ], "pros": [ "Lightweight JavaScript implementation with minimal dependencies", "Simple JSON document storage, easy to inspect and debug", "Works within the MCP ecosystem, allowing direct integration with supported LLM tools" ], "cons": [ "Limited to JSON document storage, not a general-purpose SQL or NoSQL database", "Low community adoption (32 stars) may mean fewer examples or slower evolution", "No built-in authentication or access control—designed for local or trusted environments" ], "tags": [], "featured": false, "tier": "curated", "stars": 32, "language": [ "JavaScript" ], "lastUpdated": "2024-12-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/fireproof-storage/mcp-database-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/fireproof-storage-mcp-database-server" }, { "slug": "finmap-org-mcp-server", "name": "finmap-org/mcp-server", "vendor": "Various", "tagline": "The finmap.org MCP server provides comprehensive historical data from the US, UK, Russian and Turkish stock exchanges. Access sectors, tickers, company profiles, market cap, volume", "description": "The finmap-org/mcp-server is a TypeScript-based MCP server that delivers historical stock exchange data from the US, UK, Russia, and Turkey. It provides access to sectors, tickers, company profiles, market cap, volume, value, and trade counts, along with treemap and histogram visualizations.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing historical stock data and visualizations from select exchanges via an MCP server", "useCases": [ "Retrieve historical market data for multi-exchange analysis", "Generate treemap or histogram visualizations of stock sectors", "Access company profiles and financial metrics programmatically" ], "pros": [ "Covers four major stock exchanges with historical data", "Includes visualizations (treemap, histogram) out of the box", "Lightweight TypeScript implementation for easy integration" ], "cons": [ "Limited to only four exchanges (US, UK, Russia, Turkey)", "Small community with only 10 GitHub stars", "No real-time data or streaming capabilities" ], "tags": [ "agentic", "ai-agents", "ai-tools", "borsa-istanbul", "exchange", "financial-data", "historical-data", "london-stock-exchange" ], "featured": false, "tier": "curated", "stars": 10, "language": [ "TypeScript" ], "license": "LGPL-3.0", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/finmap-org/mcp-server", "relations": { "works_in": [ "claude-code", "cline", "cursor", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/finmap-org-mcp-server" }, { "slug": "firstorderai-authenticator-mcp", "name": "firstorderai/authenticator_mcp", "vendor": "Various", "tagline": "A secure MCP (Model Context Protocol) server that enables AI agents to interact with the Authenticator App.", "description": "A secure MCP server built in TypeScript that lets AI agents interact with authenticator apps for generating time-based one-time passwords (TOTP). It wraps the Authenticator App via the Model Context Protocol, providing a controlled bridge between LLMs and authentication token generation.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to programmatically handle time-based 2FA codes", "useCases": [ "Automate TOTP code retrieval in AI-driven workflows", "Enable AI agents to log into services requiring 2FA", "Integrate token generation into MCP-compatible assistant pipelines" ], "pros": [ "Provides a secure, standardized protocol for AI agent access to authenticator data", "Lightweight TypeScript implementation with clear MCP server structure", "Solves a real integration gap for AI automation involving 2FA" ], "cons": [ "Relies on the host system having an authenticator app configured, limiting portability", "Small community (36 stars) with limited track record or support", "Requires MCP compatibility on the client side, narrowing potential users" ], "tags": [], "featured": false, "tier": "curated", "stars": 36, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/firstorderai/authenticator_mcp", "relations": { "works_in": [ "cline", "continue", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/firstorderai-authenticator-mcp" }, { "slug": "flipt-io-mcp-server-flipt", "name": "flipt-io/mcp-server-flipt", "vendor": "Various", "tagline": "📇 🏠 - Enable AI assistants to interact with your feature flags in [Flipt](https://flipt.io).", "description": "An MCP server that lets AI assistants read, evaluate, and manage feature flags in Flipt via the Model Context Protocol. Built in TypeScript, it exposes flag operations as tools for any MCP-compatible client.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Teams already using Flipt who want AI-driven flag management in their development loop", "useCases": [ "Toggle feature flags from AI chat or IDE assistants", "Evaluate flag states during development and testing", "List or search flags without leaving the AI workflow" ], "pros": [ "Open source and written in TypeScript for easy customization", "Tight integration with Flipt's flag management system", "Follows the standard MCP protocol for broad client compatibility" ], "cons": [ "Small community and low star count indicating early stage", "Requires a running Flipt instance and MCP client setup", "Only supports Flipt, not other feature flag platforms" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-02-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/flipt-io/mcp-server-flipt", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "idosal-git-mcp", "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/flipt-io-mcp-server-flipt" }, { "slug": "flowcore-mcp-flowcore-platform", "name": "flowcore/mcp-flowcore-platform", "vendor": "Various", "tagline": "MCP server for managing and interacting with Flowcore Platform", "description": "An MCP server for managing and interacting with the Flowcore Platform. It provides a programmatic interface for developers to integrate Flowcore services into MCP-compatible workflows. Built in TypeScript, it enables direct control over Flowcore resources through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers already using Flowcore who need MCP-based automation or integration", "useCases": [ "Automating Flowcore platform resource management via MCP", "Integrating Flowcore capabilities into AI/assistant toolchains", "Building custom workflows that interact with Flowcore APIs" ], "pros": [ "Open source and written in TypeScript", "Direct MCP interface for Flowcore platform", "Lightweight server for programmatic control" ], "cons": [ "Very low adoption (9 stars)", "Narrowly scoped to Flowcore platform only", "Limited community and support resources" ], "tags": [ "flowcore", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 9, "language": [ "TypeScript" ], "lastUpdated": "2025-05-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/flowcore-io/mcp-flowcore-platform", "relations": { "works_in": [ "cursor", "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/flowcore-mcp-flowcore-platform" }, { "slug": "flowzap-xyz-flowzap-mcp", "name": "flowzap-xyz/flowzap-mcp", "vendor": "Various", "tagline": "MCP server for FlowZap - Create workflow diagrams via AI assistants", "description": "FlowZap MCP is a Model Context Protocol server that lets AI assistants generate workflow diagrams. It translates natural language requests into structured diagram definitions, enabling developers to create flowcharts through chat interfaces.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to quickly generate workflow diagrams using AI assistants", "useCases": [ "Generate workflow diagrams from conversational prompts", "Integrate diagram creation into AI-assisted development workflows", "Automate documentation of process flows via AI assistants" ], "pros": [ "Low friction: no manual diagramming tools needed", "Leverages existing MCP ecosystem for AI integration", "TypeScript codebase is approachable for most developers" ], "cons": [ "Limited to diagram generation; no editing or collaboration features", "Dependent on MCP-compatible AI assistants", "Small community and limited documentation due to early stage" ], "tags": [], "featured": false, "tier": "curated", "stars": 4, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/flowzap-xyz/flowzap-mcp", "relations": { "works_in": [ "claude-code", "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [ "antv-mcp-server-chart" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/flowzap-xyz-flowzap-mcp" }, { "slug": "flox-foundation-flox-mcp", "name": "flox-foundation/flox-mcp", "vendor": "Various", "tagline": "AI-native framework for building trading systems with polyglot bindings.", "description": "Flox MCP is an AI-native framework for building trading systems with polyglot bindings. It provides a C++ core that enables developers to create high-performance trading applications and integrate them with multiple programming languages.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building high-performance, multi-language trading systems", "useCases": [ "Build low-latency trading systems with C++", "Create polyglot trading applications using bindings", "Develop AI-integrated trading strategies" ], "pros": [ "High performance from C++ core", "Polyglot support enables flexible development", "Open source with active community (213 stars)" ], "cons": [ "Niche focus on trading systems limits general use", "C++ dependency may increase complexity for some developers", "Relatively small community and ecosystem" ], "tags": [ "algorithmic-trading", "algotrading", "backtesting", "codon", "cpp", "framework", "javascript", "python" ], "featured": false, "tier": "curated", "stars": 213, "language": [ "C++" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/FLOX-Foundation/flox/tree/main/mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/flox-foundation-flox-mcp" }, { "slug": "fluke-studio-uk-business-intelligence-mcp", "name": "Fluke-Studio/uk-business-intelligence-mcp", "vendor": "Various", "tagline": "Fluke-Studio/uk-business-intelligence-mcp — indexed from awesome-mcp-servers-punkpeye", "description": "An MCP server that exposes UK business data from Companies House and similar sources. It allows developers to query company profiles, financial records, and director information via a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building UK-specific business analysis or compliance tools", "useCases": [ "Look up UK company registration details and filing history", "Retrieve financial statements and key performance indicators", "Search for director appointments and disqualification records" ], "pros": [ "Provides structured access to official UK business data", "Reduces manual scraping from government portals", "Consistent MCP protocol simplifies integration" ], "cons": [ "Limited to UK jurisdictions only", "Data freshness depends on the underlying sources", "May require API keys or rate-limit management" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/Fluke-Studio/uk-business-intelligence-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/fluke-studio-uk-business-intelligence-mcp" }, { "slug": "flytohub-flyto-core", "name": "flytohub/flyto-core", "vendor": "Various", "tagline": "The open-source execution engine for AI agents. 412 modules, MCP-native, triggers, queue, versioning, metering.", "description": "An open-source execution engine for AI agents. It provides 412 modules, is MCP-native, and includes triggers, a queue, versioning, and metering. The engine orchestrates agent workflows with these built-in features.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building custom AI agent systems that need orchestration and metering", "useCases": [ "Building agent workflows with trigger-based execution", "Managing agent runs with queue and versioning", "Tracking usage and costs with built-in metering" ], "pros": [ "Open-source with full code access", "MCP-native for interoperability with other tools", "Includes versioning and metering out of the box" ], "cons": [ "Small community with 272 GitHub stars", "Python-only, limiting language choice", "May lack extensive documentation or support" ], "tags": [ "ai-agents", "ai-tools", "atomic-modules", "automation", "browser-automation", "execution-engine", "llm", "low-code" ], "featured": false, "tier": "curated", "stars": 272, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/flytohub/flyto-core", "relations": { "works_in": [ "claude-code", "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/flytohub-flyto-core" }, { "slug": "flux159-mcp-server-kubernetes", "name": "flux159/mcp-server-kubernetes", "vendor": "Various", "tagline": "MCP Server for kubernetes management commands", "description": "MCP server that exposes Kubernetes management commands through the Model Context Protocol. Enables AI agents to execute kubectl-like operations on clusters.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to interact with Kubernetes clusters", "useCases": [ "Managing Kubernetes resources via AI assistants", "Automating cluster operations through agentic workflows", "Integrating Kubernetes control into LLM-based tools" ], "pros": [ "Well-adopted with a strong community (1400 stars)", "TypeScript codebase for reliable type safety", "Standard MCP interface allows integration with many AI platforms" ], "cons": [ "Dependent on MCP protocol adoption which is still emerging", "May expose sensitive cluster management to AI agents without proper safeguards", "Requires kubectl configuration and cluster access to be pre-configured" ], "tags": [ "infrastructure", "kubernetes", "mcp", "server" ], "featured": false, "tier": "curated", "stars": 1400, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/Flux159/mcp-server-kubernetes", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [ "txn2-kubefwd" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/flux159-mcp-server-kubernetes" }, { "slug": "foodxdevelopment-foodblock-mcp", "name": "FoodXDevelopment/foodblock-mcp", "vendor": "Various", "tagline": "A content-addressable protocol for universal food data", "description": "FoodXDevelopment/foodblock-mcp is a JavaScript library that implements a content-addressable protocol for universal food data. It allows developers to reference and retrieve food-related information using unique content hashes rather than traditional identifiers.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building decentralized or interoperable food data systems", "useCases": [ "Building decentralized food databases with content-addressable lookups", "Creating interoperable food data systems across different platforms", "Developing applications that require verifiable and immutable food data references" ], "pros": [ "Content addressing ensures data integrity and deduplication", "Protocol-based approach enables cross-platform compatibility", "Lightweight JavaScript implementation for easy integration" ], "cons": [ "Zero stars and no community adoption suggests early or experimental stage", "Limited documentation and examples may hinder onboarding", "Niche use case may not suit general food data applications" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/FoodXDevelopment/foodblock", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/foodxdevelopment-foodblock-mcp" }, { "slug": "for-sunny-hebbian-mind-enterprise", "name": "For-Sunny/hebbian-mind-enterprise", "vendor": "Various", "tagline": "Enterprise Hebbian neural graph for AI memory - CIPS LLC", "description": "A Python library implementing a Hebbian neural graph for AI memory, designed to simulate associative learning by strengthening connections between co-activated nodes. It provides a graph-based memory system that adapts based on usage patterns, suitable for building persistent, learning-aware applications.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring Hebbian learning for simple adaptive memory projects", "useCases": [ "Building adaptive memory systems that learn from user interactions", "Implementing associative recall in recommendation or search engines", "Creating persistent context for conversational agents" ], "pros": [ "Simple Hebbian learning rule makes memory updates straightforward", "Graph structure allows flexible, relational memory representation", "Lightweight Python implementation suitable for prototyping" ], "cons": [ "No active maintenance or community support (single repo, 5 stars)", "Limited documentation and examples for production use", "Scalability and performance for large graphs not addressed" ], "tags": [], "featured": false, "tier": "curated", "stars": 5, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/For-Sunny/hebbian-mind-enterprise", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "topoteretes-cognee" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/for-sunny-hebbian-mind-enterprise" }, { "slug": "forest6511-secretctl", "name": "forest6511/secretctl", "vendor": "Various", "tagline": "The simplest AI-ready secrets manager. Local-first, single-binary CLI & Desktop app with MCP integration. Never expose secrets to AI agents.", "description": "secretctl is a local-first secrets manager delivered as a single Go binary with a CLI and desktop app. It integrates with the Model Context Protocol (MCP) to let AI agents access secrets without exposing them over a network.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a lightweight, local secrets manager for AI agent toolchains", "useCases": [ "Securely inject API keys into local AI agent workflows", "Manage secrets for development environments without a cloud vault", "Provide MCP-compatible secret storage for desktop AI tools" ], "pros": [ "Single binary with no external dependencies", "Local-first design keeps secrets off the network", "MCP integration enables direct use with AI agents" ], "cons": [ "Limited to local use; no built-in sync or team sharing", "Small community and early-stage project (5 stars)", "No cloud backup or remote access capabilities" ], "tags": [ "aes-256", "ai-agents", "claude-code", "cli", "credential-management", "developer-tools", "devtools", "dotenv" ], "featured": false, "tier": "curated", "stars": 5, "language": [ "Go" ], "license": "Apache-2.0", "lastUpdated": "2026-01-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/forest6511/secretctl", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "claude-code", "cline", "cursor" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/forest6511-secretctl" }, { "slug": "format37-youtube-mcp", "name": "format37/youtube_mcp", "vendor": "Various", "tagline": "youtube transcriber mcp server", "description": "A lightweight Python server that transcribes YouTube videos and exposes the functionality via the Model Context Protocol (MCP). It allows MCP-compatible clients to request transcriptions of video URLs.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP‑compatible tools that need quick YouTube audio‑to‑text functionality.", "useCases": [ "Integrating YouTube transcriptions into MCP-based AI assistants", "Extracting subtitles for content analysis or search indexing", "Building automated workflows that process video speech into text" ], "pros": [ "Open source and simple to deploy for Python developers", "Directly plugs into MCP ecosystems without custom integration", "Focused on a single, well-defined task" ], "cons": [ "Low community adoption (31 stars) may mean limited maintenance or support", "Relies on YouTube's transcription availability and might break if APIs change", "No built-in language detection or error handling for non‑transcribed videos" ], "tags": [], "featured": false, "tier": "curated", "stars": 31, "language": [ "Python" ], "lastUpdated": "2025-07-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/format37/youtube_mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "klavis-ai-youtube" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/format37-youtube-mcp" }, { "slug": "forgemeshlabs-disruption-intelligence-mcp", "name": "forgemeshlabs/disruption-intelligence-mcp", "vendor": "Various", "tagline": "AI-native commercial disruption intelligence for MCP clients and x402-powered agents.", "description": "A TypeScript-based MCP server that provides commercial disruption intelligence to AI agents and MCP clients. It integrates with x402-powered agents to deliver real-time data on market disruptions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or MCP clients that require real-time commercial disruption data", "useCases": [ "Feed AI agents with up-to-date disruption intelligence for strategic analysis", "Enable MCP clients to query commercial disruption data programmatically", "Power x402-based autonomous agents with market intelligence inputs" ], "pros": [ "Directly integrates with MCP and x402 ecosystems for agentic workflows", "Written in TypeScript for type safety and broad compatibility", "Targets a specific niche with clear commercial intelligence focus" ], "cons": [ "Zero stars and no community traction yet", "Limited documentation or usage examples available", "Narrow use case may not suit general-purpose AI tooling" ], "tags": [ "agent-payments", "commercial-intelligence", "commercial-real-estate", "competitive-intelligence", "cre", "disruption-intelligence", "economic-signals", "enterprise-risk" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/forgemeshlabs/disruption-intelligence-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/forgemeshlabs-disruption-intelligence-mcp" }, { "slug": "fosdickio-binary-ninja-mcp", "name": "fosdickio/binary_ninja_mcp", "vendor": "Various", "tagline": "A Binary Ninja plugin containing an MCP server that enables seamless integration with your favorite LLM/MCP client.", "description": "A Binary Ninja plugin that runs an MCP server, allowing LLM clients to interact with the reverse engineering tool. It exposes Binary Ninja's analysis capabilities through the Model Context Protocol for automated code inspection and modification.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Reverse engineers and security researchers who want to use LLMs to interact with Binary Ninja programmatically.", "useCases": [ "Automate reverse engineering tasks by querying Binary Ninja via an LLM client", "Perform scripted binary analysis and patching through natural language commands", "Integrate Binary Ninja into larger MCP-based toolchains for security research" ], "pros": [ "Enables LLM-driven binary analysis without manual scripting", "Leverages Binary Ninja's existing analysis engine and API", "Open source with 370 stars, indicating community interest" ], "cons": [ "Requires Binary Ninja license (not free or open source)", "Dependent on MCP client compatibility and LLM quality", "Limited to Python environment and Binary Ninja's plugin ecosystem" ], "tags": [], "featured": false, "tier": "curated", "stars": 370, "language": [ "Python" ], "license": "GPL-3.0", "lastUpdated": "2026-04-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/fosdickio/binary_ninja_mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "lauriewired-ghidramcp", "mrexodia-ida-pro-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/fosdickio-binary-ninja-mcp" }, { "slug": "fotoetienne-gqai", "name": "fotoetienne/gqai", "vendor": "Various", "tagline": "Turn any GraphQL endpoint into a set of MCP tools", "description": "fotoetienne/gqai is a Go tool that converts any GraphQL endpoint into a set of Model Context Protocol (MCP) tools. It introspects the GraphQL schema and generates MCP tool definitions, enabling AI agents to query or mutate the endpoint through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to connect GraphQL APIs to MCP-based AI agents quickly", "useCases": [ "Expose a GraphQL API to an MCP-compatible AI agent for querying", "Enable AI-driven mutations on a GraphQL backend via MCP tools", "Rapidly integrate existing GraphQL services into MCP-based workflows" ], "pros": [ "Works with any GraphQL endpoint without manual configuration", "Lightweight Go binary with minimal dependencies", "Leverages schema introspection for accurate tool generation" ], "cons": [ "Limited to GraphQL endpoints only, not REST or other APIs", "Small community and low star count may indicate limited support", "Requires MCP-compatible client to use the generated tools" ], "tags": [], "featured": false, "tier": "curated", "stars": 22, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2025-06-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/fotoetienne/gqai", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/fotoetienne-gqai" }, { "slug": "foxintheloop-uptier", "name": "foxintheloop/UpTier", "vendor": "Various", "tagline": "MCP-powered task manager that lets Claude AI prioritize your work. Desktop app with Microsoft To Do-style UI, intelligent prioritization strategies (Eisenhower, quick wins, high im", "description": "UpTier is a desktop task manager that uses the Model Context Protocol to let Claude AI prioritize tasks. It provides a Microsoft To Do-style interface with prioritization strategies like Eisenhower Matrix, quick wins, and high impact. The app includes goal tracking and concurrent SQLite access for local data storage.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want AI-assisted task prioritization with a clean local UI", "useCases": [ "Prioritizing tasks using Eisenhower or other strategies", "Tracking goals alongside daily work", "Managing tasks with a clean, familiar desktop UI" ], "pros": [ "Familiar Microsoft To Do-style interface", "Multiple intelligent prioritization strategies", "Local data storage with concurrent SQLite access" ], "cons": [ "Requires Claude AI and MCP setup, adding complexity", "Desktop only with no mobile version", "Small community and limited support (2 GitHub stars)" ], "tags": [ "claude", "electron", "mcp", "model-context-protocol", "productivity", "react", "task-management", "todo" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "lastUpdated": "2026-03-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/foxintheloop/UpTier", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "eyaltoledano-claude-task-master" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/foxintheloop-uptier" }, { "slug": "fr0gger-mcp-security", "name": "fr0gger/MCP_Security", "vendor": "Various", "tagline": "This is a repository to experiment with MCP for security", "description": "A Python repository for experimenting with the Model Context Protocol (MCP) in security contexts. It provides a starting point for building and testing MCP-based security tools and workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Security researchers and developers exploring MCP for security use cases", "useCases": [ "Prototyping MCP integrations for security monitoring", "Testing MCP-based threat detection pipelines", "Exploring MCP as a protocol for security automation" ], "pros": [ "Focused on security applications of MCP", "Open source with Python codebase", "Low barrier to entry for experimentation" ], "cons": [ "Small community with only 47 stars", "Experimental and likely lacks production readiness", "Limited documentation and examples" ], "tags": [], "featured": false, "tier": "curated", "stars": 47, "language": [ "Python" ], "lastUpdated": "2025-01-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/fr0gger/MCP_Security", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "lauriewired-ghidramcp", "mrexodia-ida-pro-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/fr0gger-mcp-security" }, { "slug": "fradser-mcp-server-apple-reminders", "name": "fradser/mcp-server-apple-reminders", "vendor": "Various", "tagline": "MCP server providing native macOS integration with Apple Reminders and Calendar via EventKit", "description": "An MCP server that provides native macOS integration with Apple Reminders and Calendar through EventKit. It allows AI agents and tools using the Model Context Protocol to read, create, and manage reminders and calendar events on a Mac.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building macOS-native AI agents that need to manage reminders and calendar events", "useCases": [ "Building AI assistants that schedule events and set reminders", "Automating calendar management and task creation from AI workflows", "Integrating macOS Reminders data into agent-based productivity tools" ], "pros": [ "Direct native access to Apple Reminders and Calendar via EventKit", "Clear TypeScript implementation with 126 GitHub stars", "Open source and can be self-hosted or extended" ], "cons": [ "macOS only, no cross-platform support", "Requires local setup and running the MCP server", "Dependent on specific MCP client compatibility" ], "tags": [ "calendar", "eventkit", "macos", "mcp-server", "model-context-protocol", "reminders", "swift", "typescript" ], "featured": false, "tier": "curated", "stars": 126, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/FradSer/mcp-server-apple-reminders", "relations": { "works_in": [ "cline", "cursor", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/fradser-mcp-server-apple-reminders" }, { "slug": "freema-firefox-devtools-mcp", "name": "freema/firefox-devtools-mcp", "vendor": "Various", "tagline": "Model Context Protocol server for Firefox DevTools - enables AI assistants to inspect and control Firefox browser through the Remote Debugging Protocol", "description": "A Model Context Protocol server that connects AI assistants to Firefox's Remote Debugging Protocol. It allows tools to inspect page elements, monitor network activity, and execute JavaScript in the browser.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-assisted debugging workflows for Firefox", "useCases": [ "Automate browser debugging tasks via AI assistants", "Inspect live DOM and network requests programmatically", "Execute JavaScript in Firefox from an MCP client" ], "pros": [ "Leverages Firefox's native debugging protocol for reliable control", "Written in TypeScript with 192 GitHub stars, indicating community interest", "Enables AI-driven browser automation without Selenium or Playwright" ], "cons": [ "Requires Firefox with remote debugging enabled, adding setup overhead", "Limited to Firefox; no cross-browser support", "Depends on MCP client compatibility, which is still emerging" ], "tags": [ "claude-code", "firefox", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 192, "language": [ "TypeScript" ], "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/freema/firefox-devtools-mcp", "relations": { "works_in": [ "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "agent-infra-mcp-server-browser", "browsermcp-mcp", "executeautomation-playwright-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/freema-firefox-devtools-mcp" }, { "slug": "freema-mcp-gsheets", "name": "freema/mcp-gsheets", "vendor": "Various", "tagline": "MCP server for Google Sheets - Read, write and manipulate spreadsheets through Claude Desktop", "description": "An MCP server that lets Claude Desktop read, write, and manipulate Google Sheets. It uses TypeScript and exposes spreadsheet operations as tools for the AI assistant.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to give Claude Desktop read/write access to Google Sheets", "useCases": [ "Automating data entry and updates in Google Sheets from Claude conversations", "Querying spreadsheet data to inform AI responses or analysis", "Building simple workflows that read from or write to shared sheets" ], "pros": [ "Direct integration with Claude Desktop for spreadsheet tasks", "Open source with a permissive license for customization", "Lightweight and focused on a single, well-defined capability" ], "cons": [ "Limited to Google Sheets only, no other spreadsheet formats", "Requires Claude Desktop and MCP setup, not a standalone tool", "Relatively small community and few stars, may have limited support" ], "tags": [ "automation", "google-sheets-api", "mcp", "nodejs", "typescript" ], "featured": false, "tier": "curated", "stars": 69, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/freema/mcp-gsheets", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "haris-musa-excel-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/freema-mcp-gsheets" }, { "slug": "freema-mcp-design-system-extractor", "name": "freema/mcp-design-system-extractor", "vendor": "Various", "tagline": "MCP (Model Context Protocol) server that enables AI assistants to interact with Storybook design systems. Extract component HTML, analyze styles, and help with design system adopti", "description": "MCP server that lets AI assistants connect to Storybook design systems to extract component HTML and analyze styles. It helps with design system adoption and refactoring by providing structured access via the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Teams using Storybook who want to automate design system tasks with AI assistants", "useCases": [ "Extracting component HTML from a Storybook library", "Analyzing style usage across design system components", "Assisting in migrating components to updated design tokens" ], "pros": [ "Directly integrates with existing Storybook workflows", "Uses MCP for standardized AI assistant interaction", "Open source and written in TypeScript" ], "cons": [ "Requires a running Storybook instance", "Limited to static extraction and analysis, no dynamic rendering", "Relatively small community (65 stars) may limit support" ], "tags": [ "design-system", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 65, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-02-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/freema/mcp-design-system-extractor", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "glips-figma-context-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/freema-mcp-design-system-extractor" }, { "slug": "freema-openclaw-mcp", "name": "freema/openclaw-mcp", "vendor": "Various", "tagline": "🦞 MCP server for OpenClaw - secure bridge between Claude.ai and your self-hosted OpenClaw assistant with OAuth2 authentication", "description": "An MCP server that connects Claude.ai to a self-hosted OpenClaw assistant using OAuth2 authentication. It provides a secure bridge for sending prompts and receiving responses from your own OpenClaw instance.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to securely connect Claude.ai to their own OpenClaw assistant instance", "useCases": [ "Integrate Claude.ai with a private OpenClaw assistant for secure AI interactions", "Enable OAuth2-authenticated access to self-hosted OpenClaw from Claude", "Build custom workflows that route Claude requests through a controlled OpenClaw backend" ], "pros": [ "Open source with 170 GitHub stars and active TypeScript codebase", "Provides OAuth2 security for self-hosted deployments", "Directly bridges Claude.ai with OpenClaw without third-party services" ], "cons": [ "Requires self-hosting OpenClaw, adding operational overhead", "Limited to OpenClaw as the backend assistant, not a general-purpose MCP server", "OAuth2 setup may be complex for non-expert users" ], "tags": [ "docker-compose", "mcp-server", "open-claw", "productivity", "security", "typescript" ], "featured": false, "tier": "curated", "stars": 170, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/freema/openclaw-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/freema-openclaw-mcp" }, { "slug": "freepeak-db-mcp-server", "name": "FreePeak/db-mcp-server", "vendor": "Various", "tagline": "A powerful multi-database server implementing the Model Context Protocol (MCP) to provide AI assistants with structured access to databases.", "description": "FreePeak/db-mcp-server is a Go-based server that implements the Model Context Protocol (MCP) to give AI assistants structured access to multiple databases. It acts as a bridge, allowing language models to query and interact with databases through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need direct, structured database access via the Model Context Protocol", "useCases": [ "Enabling AI assistants to run SQL queries against production databases", "Providing structured database access for AI-driven data analysis tools", "Integrating database interactions into MCP-compatible AI workflows" ], "pros": [ "Written in Go, offering good performance and low resource usage", "Supports multiple database types through a single MCP interface", "Open source with a growing community (384 stars)" ], "cons": [ "Requires MCP-compatible AI assistants, limiting direct usability", "Documentation may be sparse for advanced configuration", "Not a full ORM; focuses on raw query access" ], "tags": [ "database-mcp-server", "mcp-server" ], "featured": false, "tier": "curated", "stars": 384, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-04-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/FreePeak/db-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/freepeak-db-mcp-server" }, { "slug": "frihet-mcp-server", "name": "@frihet/mcp-server", "vendor": "Various", "tagline": "Official MCP server for Frihet ERP — 52 tools for AI-powered invoicing, expenses, clients, products, quotes, reports, and tax compliance. Works with Claude, Cursor, Windsurf, Cline", "description": "An official MCP server that exposes 52 tools from the Frihet ERP system for AI assistants. It enables automated invoicing, expense tracking, client management, product handling, quotes, reporting, and tax compliance through Claude, Cursor, Windsurf, Cline, or Copilot.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and businesses already using Frihet ERP who want to automate tasks via AI assistants", "useCases": [ "Generate and send invoices from natural language commands", "Track expenses and manage client records via chat", "Create quotes and run compliance reports without the UI" ], "pros": [ "Broad tool coverage across core ERP functions", "Works with multiple popular AI coding assistants", "TypeScript codebase for easy extension" ], "cons": [ "Requires a Frihet ERP account and setup", "Limited to Frihet ecosystem only", "Small community with only 6 GitHub stars" ], "tags": [ "accounting", "ai", "ai-native", "automation", "billing", "business-management", "claude", "claude-code-plugin" ], "featured": false, "tier": "curated", "stars": 6, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/Frihet-io/frihet-mcp", "relations": { "works_in": [ "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/frihet-mcp-server" }, { "slug": "frontier-compute-zcash-mcp", "name": "Frontier-Compute/zcash-mcp", "vendor": "Various", "tagline": "ZAP1 attestation and proof-verification MCP for Zcash agents. Attestation layer, not a wallet.", "description": "An MCP (Model Context Protocol) server for Zcash agents that provides ZAP1 attestation and proof verification. It functions as an attestation layer, not a wallet, enabling agents to verify Zcash transaction proofs.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building Zcash-aware agents or attestation systems", "useCases": [ "Verifying Zcash transaction proofs in agent workflows", "Integrating ZAP1 attestation into decentralized applications", "Building privacy-preserving agent systems on Zcash" ], "pros": [ "Lightweight attestation layer focused on Zcash privacy", "Written in TypeScript for easy integration with modern stacks", "Directly supports ZAP1 proof verification" ], "cons": [ "Zero stars indicates very early stage or low adoption", "Not a wallet, so lacks transaction creation or balance management", "Limited documentation and community support expected" ], "tags": [ "ai-agent", "blockchain", "claude", "cursor", "mcp", "mcp-server", "model-context-protocol", "privacy" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/Frontier-Compute/zcash-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/frontier-compute-zcash-mcp" }, { "slug": "fulcradynamics-fulcra-context-mcp", "name": "fulcradynamics/fulcra-context-mcp", "vendor": "Various", "tagline": "fulcradynamics/fulcra-context-mcp — indexed from awesome-mcp-servers-punkpeye", "description": "A minimal Python implementation of an MCP server for context, listed in the awesome-mcp-servers collection. It provides a small codebase for developers exploring the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with MCP context servers", "useCases": [ "Providing context to AI models via MCP", "Integrating with MCP-compatible clients", "Building custom context pipelines" ], "pros": [ "Lightweight and simple codebase", "Written in Python, easy to extend", "Open source with no external dependencies" ], "cons": [ "Very low star count indicates early stage", "Limited documentation and community support", "Narrowly scoped to MCP context handling" ], "tags": [], "featured": false, "tier": "curated", "stars": 5, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-05-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/fulcradynamics/fulcra-context-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/fulcradynamics-fulcra-context-mcp" }, { "slug": "fund-z-fundzwatch-mcp", "name": "Fund-z/fundzwatch-mcp", "vendor": "Various", "tagline": "MCP server for FundzWatch.ai -- real-time business events, AI-scored leads, and market intelligence in Claude, Cursor, and Windsurf.", "description": "Fund-z/fundzwatch-mcp is a Model Context Protocol server that connects FundzWatch.ai data to AI assistants like Claude, Cursor, and Windsurf. It provides real-time business events, AI-scored leads, and market intelligence through a TypeScript implementation.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to surface business event data and scored leads inside their AI coding tools.", "useCases": [ "Monitor real-time business events in an AI chat interface", "Retrieve AI-scored leads for sales prospecting", "Access market intelligence data within development tools" ], "pros": [ "Integrates directly with popular AI assistants and IDEs", "Delivers real-time business event data", "Provides scored leads to prioritize opportunities" ], "cons": [ "Very early stage with only 1 GitHub star", "Limited community support and documentation", "Dependent on FundzWatch.ai service availability" ], "tags": [ "acquisitions", "ai-agents", "business-events", "claude", "cursor", "funding", "funding-data", "fundzwatch" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/Fund-z/fundzwatch-mcp", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "exa-labs-exa-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/fund-z-fundzwatch-mcp" }, { "slug": "furey-mongodb-lens", "name": "furey/mongodb-lens", "vendor": "Various", "tagline": "🍃🔎 MongoDB Lens: Full Featured MCP Server for MongoDB Databases", "description": "An open-source MCP server written in JavaScript that provides a full-featured interface for AI assistants to interact with MongoDB databases. It enables natural language queries, schema inspection, and data manipulation through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and data analysts who want to interact with MongoDB using conversational AI assistants", "useCases": [ "Query MongoDB collections using natural language from an MCP-compatible AI tool", "Explore database schemas and document structures without writing raw MongoDB queries", "Perform CRUD operations on MongoDB through an AI assistant's chat interface" ], "pros": [ "Simplifies MongoDB interaction for non-expert users by abstracting query syntax", "Open-source with active community (203 stars) and clear documentation", "Supports a wide range of MongoDB features including find, aggregate, insert, update, and delete" ], "cons": [ "Requires an MCP-compatible AI client (e.g., Claude Desktop) to function", "Limited to MongoDB databases; not usable with other NoSQL or SQL systems", "Performance depends on network latency and server setup due to its client-server architecture" ], "tags": [ "ai", "claude", "database", "llm", "mcp", "model-context-protocol", "mongodb" ], "featured": false, "tier": "curated", "stars": 203, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2025-04-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/furey/mongodb-lens", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/furey-mongodb-lens" }, { "slug": "future-audiences-wikimedia-enterprise-model-context-protocol", "name": "future-audiences/wikimedia-enterprise-model-context-protocol", "vendor": "Various", "tagline": "🐍 ☁️ - Wikipedia Article lookup API", "description": "This is a Model Context Protocol server that provides a Wikipedia article lookup API. It allows AI agents to retrieve article summaries and metadata through a standardized interface. The implementation is written in Python and designed for cloud deployment.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need reliable, on-demand access to Wikipedia content", "useCases": [ "Enabling AI assistants to fetch Wikipedia article summaries on demand", "Integrating Wikipedia knowledge into AI-powered research tools", "Providing structured article data for fact-checking or content generation workflows" ], "pros": [ "Standardized MCP interface simplifies integration with AI agents", "Direct access to Wikimedia Enterprise data ensures reliable and up-to-date content", "Lightweight Python implementation easy to deploy and customize" ], "cons": [ "Limited to Wikipedia article lookup, not a general knowledge base", "Requires running a server or using a hosted instance", "May have rate limits or require authentication for enterprise use" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://gitlab.wikimedia.org/repos/future-audiences/wikimedia-enterprise-model-context-protocol", "relations": { "works_in": [ "cline", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/future-audiences-wikimedia-enterprise-model-context-protocol" }, { "slug": "g0t4-mcp-server-commands", "name": "g0t4/mcp-server-commands", "vendor": "Various", "tagline": "Model Context Protocol server to run commands (tool: runProcess)", "description": "This is a Model Context Protocol server that exposes a single tool, runProcess, for executing arbitrary shell commands. It receives commands via MCP requests and runs them on the local machine, returning stdout, stderr, and exit codes. The implementation is written in TypeScript and relies on the standard MCP SDK.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to run shell commands from MCP-enabled AI assistants in trusted, local environments.", "useCases": [ "Execute build scripts or tests from an MCP host", "Run system administration commands through an MCP client", "Integrate custom CLI tools into AI-assisted workflows" ], "pros": [ "Simple and direct execution of shell commands", "Works with any MCP compatible host or client", "Lightweight and easy to install from npm" ], "cons": [ "No sandboxing or permission model for executed commands", "Poses significant security risks if exposed to untrusted users", "Limited to local machine execution with no remote support" ], "tags": [], "featured": false, "tier": "curated", "stars": 226, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/g0t4/mcp-server-commands", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "wonderwhy-er-desktopcommandermcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/g0t4-mcp-server-commands" }, { "slug": "g1itchbot8888-del-agent-memory", "name": "g1itchbot8888-del/agent-memory", "vendor": "Various", "tagline": "Memory system for autonomous agents - built by an agent, for agents", "description": "A memory system for autonomous agents, written in Python and built by an agent for use by agents. It provides a way for agents to store and retrieve state or context, though the project has very limited adoption.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers curious about agent-generated tooling or building experimental agent memory prototypes", "useCases": [ "Experimenting with agent-driven development workflows", "Prototyping memory persistence for small-scale autonomous agents", "Studying how an agent can design its own memory infrastructure" ], "pros": [ "Lightweight Python implementation suitable for learning", "Follows the novel concept of agent self-building its tools", "Publicly available on GitHub for inspection and modification" ], "cons": [ "Only 6 GitHub stars indicates minimal community validation or use", "Lacks evidence of documentation, tests, or stability", "Unclear whether the system works reliably beyond the original author's context" ], "tags": [], "featured": false, "tier": "curated", "stars": 6, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-02-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/g1itchbot8888-del/agent-memory", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "topoteretes-cognee" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/g1itchbot8888-del-agent-memory" }, { "slug": "gabrielmaialva33-winx-code-agent", "name": "gabrielmaialva33/winx-code-agent", "vendor": "Various", "tagline": "🦀 A high-performance code agent written in Rust, combining the best features of WCGW for maximum efficiency and semantic capabilities.", "description": "A high-performance code agent written in Rust that combines features from WCGW to deliver efficient code transformations with semantic understanding. It prioritizes speed and semantic capabilities, making it suitable for automated code analysis and generation tasks.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a fast, low-level code agent for automated code transformations and analysis.", "useCases": [ "Automating code refactoring with semantic awareness", "Performing efficient static analysis and code search", "Generating boilerplate or repetitive code snippets" ], "pros": [ "High performance due to Rust implementation", "Semantic capabilities for context-aware code operations", "Minimal overhead for integration into development pipelines" ], "cons": [ "Small community with only 28 GitHub stars, indicating limited adoption", "Potential lack of extensive documentation or community support", "Requires familiarity with Rust for any custom extensions" ], "tags": [ "autonomous", "code-agent", "computer", "control", "execution", "llm-agent", "llm-code", "mcp" ], "featured": false, "tier": "curated", "stars": 28, "language": [ "Rust" ], "license": "MIT", "lastUpdated": "2026-05-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/gabrielmaialva33/winx-code-agent", "relations": { "works_in": [ "cursor", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gabrielmaialva33-winx-code-agent" }, { "slug": "gaffx-volatility-mcp", "name": "Gaffx/volatility-mcp", "vendor": "Various", "tagline": "This repo hosts an MCP server for volatility3.x", "description": "This repository provides an MCP server implementation for Volatility 3.x, enabling memory forensics analysis through the Model Context Protocol. It allows developers to integrate Volatility commands into MCP-compatible workflows and automation pipelines.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based forensic automation or integrating memory analysis into larger toolchains", "useCases": [ "Automate memory analysis tasks within MCP-based tools", "Integrate Volatility 3.x into forensic investigation pipelines", "Build custom MCP clients that invoke Volatility plugins" ], "pros": [ "Leverages MCP for standardized tool integration", "Open source and written in Python for easy customization", "Directly interfaces with the widely used Volatility 3.x framework" ], "cons": [ "Small community (48 stars) may mean limited support and documentation", "Requires familiarity with Volatility 3.x and MCP protocol", "Dependent on Volatility 3.x updates and compatibility" ], "tags": [], "featured": false, "tier": "curated", "stars": 48, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2025-07-09", "addedAt": "2026-06-01", "officialLink": "https://github.com/Gaffx/volatility-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "lauriewired-ghidramcp", "mrexodia-ida-pro-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gaffx-volatility-mcp" }, { "slug": "gannonh-firebase-mcp", "name": "gannonh/firebase-mcp", "vendor": "Various", "tagline": "🔥 Model Context Protocol (MCP) server for Firebase.", "description": "An open-source Model Context Protocol (MCP) server that exposes Firebase services to MCP-compatible clients. It allows AI agents and tools to interact with Firebase resources such as Firestore, Authentication, and Cloud Functions using the standardized MCP interface. The server is written in TypeScript and provides a bridge between Firebase and MCP-based applications.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or tools that need to interact with Firebase through the Model Context Protocol", "useCases": [ "Querying Firestore collections and documents through an MCP client", "Managing Firebase Authentication users via MCP requests", "Invoking Cloud Functions from AI assistants using the MCP protocol" ], "pros": [ "Standardizes Firebase access for any MCP-compatible client", "TypeScript source for type safety and easier contributions", "Active community with 245 stars indicating usage and interest" ], "cons": [ "Not an official Firebase product, relies on third-party maintenance", "May not cover all Firebase products or advanced configurations", "Requires a separate MCP client and Firebase service credentials to operate" ], "tags": [ "firebase", "modelcontextprotocol" ], "featured": false, "tier": "curated", "stars": 245, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-10-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/gannonh/firebase-mcp", "relations": { "works_in": [ "claude-code", "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gannonh-firebase-mcp" }, { "slug": "gaoharimran29-glitch-cybersecurity-mcp-server", "name": "gaoharimran29-glitch/Cybersecurity-MCP-Server", "vendor": "Various", "tagline": "An Open Sourced Model Context Protocol (MCP) Local server that gives Claude real-time cybersecurity reconnaissance capabilities", "description": "This open source MCP server provides Claude with real-time cybersecurity reconnaissance capabilities. It runs locally, using Python to integrate with Claude's Model Context Protocol for security-related tasks.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Security engineers and developers who want to augment Claude with on-premises reconnaissance tools.", "useCases": [ "Perform real-time reconnaissance queries during security audits", "Integrate cybersecurity intel gathering into Claude-assisted workflows", "Run local security checks without external dependencies" ], "pros": [ "Open source and free to use or modify", "Local execution keeps sensitive data in-house", "Leverages existing MCP infrastructure for Claude" ], "cons": [ "Limited to reconnaissance functionalities only", "Requires local setup and Python runtime", "Dependent on Claude's MCP protocol compatibility" ], "tags": [ "ai-tools", "claude", "cybersecurity-tools", "fastmcp", "information-gathering", "mcp-server", "model-context-protocol", "python" ], "featured": false, "tier": "curated", "stars": 5, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/gaoharimran29-glitch/Cybersecurity-MCP-Server", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gaoharimran29-glitch-cybersecurity-mcp-server" }, { "slug": "gaopengbin-cesium-mcp", "name": "gaopengbin/cesium-mcp", "vendor": "Various", "tagline": "AI-powered CesiumJS 3D globe control 49 tools for camera, entities, layers, animation & spatial analysis via Model Context Protocol (MCP). Natural language to 3D GIS.", "description": "A set of 49 tools for controlling CesiumJS 3D globe through natural language commands. Uses the Model Context Protocol to enable camera, entity, layer, animation and spatial analysis operations.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-assisted 3D GIS applications with CesiumJS", "useCases": [ "Controlling camera views on a 3D globe", "Adding and manipulating 3D entities", "Performing spatial analysis queries" ], "pros": [ "Enables natural language control of complex 3D GIS operations", "Provides 49 specific tools covering camera, entities, layers, animation", "Built on the Model Context Protocol for integration with AI assistants" ], "cons": [ "Requires setup of Model Context Protocol environment", "Limited to CesiumJS ecosystem", "May have fewer community resources than larger projects" ], "tags": [ "3d-globe", "3d-visualization", "ai", "ai-agent", "cesium", "cesiumjs", "claude", "geojson" ], "featured": false, "tier": "curated", "stars": 107, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/gaopengbin/cesium-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "browsermcp-mcp", "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gaopengbin-cesium-mcp" }, { "slug": "gaoshan0971-digeguigui", "name": "Gaoshan0971/digeguigui", "vendor": "Various", "tagline": "滴个龟龟 — Global reptile & exotic pet knowledge base. 633 species, AI identification, genetics calculator, health diagnosis, pricing, blockchain provenance. MCP server with 9 free too", "description": "滴个龟龟 is a Python-based MCP server that provides a knowledge base for 633 reptile and exotic pet species. It offers AI identification, a genetics calculator, health diagnosis, pricing data, and blockchain provenance tracking through 9 free tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Reptile and exotic pet enthusiasts, breeders, and hobbyists needing a centralized reference and identification tool.", "useCases": [ "Identify reptile or exotic pet species from images or descriptions", "Calculate genetic outcomes for breeding projects", "Verify provenance and ownership via blockchain records" ], "pros": [ "Covers a large number of species (633) in a specialized domain", "Includes multiple practical tools (identification, genetics, health, pricing) in one server", "Free to use with 9 available tools" ], "cons": [ "Zero GitHub stars suggests very limited community adoption or testing", "Blockchain provenance feature may add complexity without clear benefit for most users", "Health diagnosis tool likely has limited accuracy without clinical validation" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/Gaoshan0971/digeguigui", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gaoshan0971-digeguigui" }, { "slug": "garasegae-aiskillstore", "name": "garasegae/aiskillstore", "vendor": "Various", "tagline": "Agent-first skill marketplace with USK open standard — MCP server for AI agent skill discovery and installation", "description": "A marketplace for AI agent skills built on the USK open standard. It provides an MCP server that enables agents to discover and install skills programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building or extending AI agents who need a lightweight skill discovery and installation mechanism.", "useCases": [ "Discovering and indexing available AI agent skills from a central registry", "Installing skills into an AI agent environment via MCP protocol", "Integrating skill marketplace capabilities into custom agent frameworks" ], "pros": [ "Agent-first design aligns with modern AI agent architectures", "Based on an open standard (USK) for skill interoperability", "MCP server support simplifies integration with existing agent tools" ], "cons": [ "Very early stage with only 1 GitHub star and likely minimal community", "Documentation and examples are scarce given the low visibility", "Relies on the USK standard, which may have limited adoption outside this project" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/garasegae/aiskillstore", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "skill-seekers-skill-seekers" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/garasegae-aiskillstore" }, { "slug": "gaudiolab-jp-gaudio-developers-mcp", "name": "gaudiolab-jp/gaudio-developers-mcp", "vendor": "Various", "tagline": "Gaudio Lab Audio AI MCP Server — Stem Separation, DME Separation, AI Text Sync", "description": "A Model Context Protocol server for audio processing tasks. Provides stem separation, DME separation, and AI-driven text synchronization. Built with TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers integrating audio AI tasks into MCP-based workflows", "useCases": [ "Separating audio tracks into stems for mixing", "Extracting dialogue, music, and effects from audio", "Syncing text to audio using AI alignment" ], "pros": [ "Offers specialized audio AI capabilities through a standard MCP interface", "Handles multiple audio processing tasks in a single tool", "Built in TypeScript for type safety" ], "cons": [ "New project with 0 GitHub stars indicates limited community adoption", "Requires an MCP-compatible client to use", "Lacks detailed documentation and usage examples" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/gaudiolab-jp/gaudio-developers-mcp", "relations": { "works_in": [ "claude-code", "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gaudiolab-jp-gaudio-developers-mcp" }, { "slug": "gavelin-ai-mcp", "name": "gavelin-ai/mcp", "vendor": "Various", "tagline": "gavelin-ai/mcp — indexed from awesome-mcp-servers-punkpeye", "description": "gavelin-ai/mcp is a JavaScript repository listed in the awesome-mcp-servers-punkpeye index. It provides a Model Context Protocol server implementation with zero stars on GitHub.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring experimental MCP implementations in JavaScript.", "useCases": [ "Building MCP-compatible tools for large language models", "Integrating AI assistants with contextual data sources", "Prototyping model-context interactions in JavaScript" ], "pros": [ "Listed in a curated directory of MCP servers", "Written in JavaScript for broad developer accessibility", "Minimal dependencies keep the project lightweight" ], "cons": [ "No community adoption reflected by zero GitHub stars", "Lack of documentation beyond the repository listing", "Unclear whether the project is actively maintained" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/gavelin-ai/mcp", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gavelin-ai-mcp" }, { "slug": "gavxm-ani-mcp", "name": "gavxm/ani-mcp", "vendor": "Various", "tagline": "MCP server for AniList with taste-aware recommendations, watch analytics, social tools, and full list management.", "description": "MCP server that connects AI assistants to AniList for managing anime/manga lists, generating taste-aware recommendations, tracking watch analytics, and providing social tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants for anime/manga enthusiasts using AniList", "useCases": [ "Automating anime list updates via natural language commands", "Getting personalized recommendations based on viewing history", "Analyzing watch patterns with AI assistants" ], "pros": [ "Free and open source", "Leverages MCP for seamless AI assistant integration", "Covers list management, recommendations, and analytics" ], "cons": [ "Early-stage project with limited adoption (1 star)", "Requires an MCP-compatible client to use", "May lack comprehensive error handling or documentation" ], "tags": [ "ai", "anilist", "anime", "manga", "mcp", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/gavxm/ani-mcp", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gavxm-ani-mcp" }, { "slug": "gblinproject-gblin-mcp", "name": "gblinproject/GBLIN-MCP", "vendor": "Various", "tagline": "Treasury standard for AI agents on Base. MCP server for GBLIN — park idle USDC in cbBTC/WETH index, JIT-swap for x402 payments.", "description": "An MCP server for GBLIN, a treasury standard for AI agents on the Base blockchain. It allows idle USDC to be parked in a cbBTC/WETH index and performs just-in-time swaps for x402 payments.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "AI agent developers on Base who need automated treasury and payment management", "useCases": [ "Managing treasury assets for AI agents on Base", "Automating idle USDC deployment into a cbBTC/WETH index", "Enabling just-in-time swaps for x402 payment requests" ], "pros": [ "Designed specifically for AI agents using the Model Context Protocol", "Optimizes idle stablecoins by parking them in a liquid index", "Handles atomic swaps for payment flows like x402" ], "cons": [ "Zero stars and no community adoption, very early stage", "Tied to Base blockchain and the cbBTC/WETH index only", "Dependent on the x402 protocol and specific swap mechanics" ], "tags": [ "ai-agent", "base-mainnet", "defi", "elizaos", "gblin", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/gblinproject/GBLIN-MCP", "relations": { "works_in": [ "claude-code", "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gblinproject-gblin-mcp" }, { "slug": "gbrigandi-mcp-server-cortex", "name": "gbrigandi/mcp-server-cortex", "vendor": "Various", "tagline": "MCP Server for Cortex", "description": "A Rust-based server that implements the Model Context Protocol (MCP) for use with Cortex, a local AI inference engine. It allows AI tools and assistants to interact with Cortex models through a standardized protocol. The server is open source and designed for lightweight, local deployment.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building local AI toolchains with Cortex who need a lightweight MCP adapter", "useCases": [ "Connect AI assistants to local Cortex models via MCP", "Build custom tool integrations for Cortex-based workflows", "Enable local AI inference in development environments" ], "pros": [ "Written in Rust for performance and low resource usage", "Open source with a permissive license", "Simple protocol implementation for easy integration" ], "cons": [ "Very early stage with only 15 GitHub stars", "Limited community support and documentation", "Requires familiarity with both MCP and Cortex" ], "tags": [], "featured": false, "tier": "curated", "stars": 15, "language": [ "Rust" ], "license": "MIT", "lastUpdated": "2025-12-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/gbrigandi/mcp-server-cortex", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "aider", "cline" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gbrigandi-mcp-server-cortex" }, { "slug": "gbrigandi-mcp-server-wazuh", "name": "gbrigandi/mcp-server-wazuh", "vendor": "Various", "tagline": "MCP Server for Wazuh SIEM", "description": "An MCP server written in Rust that exposes Wazuh SIEM functionality through the Model Context Protocol. It lets AI agents like Claude query security alerts, manage agents, and retrieve compliance data via the Wazuh API.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Security teams who want to integrate AI assistant capabilities with their Wazuh SIEM deployment", "useCases": [ "Query and summarize security alerts from Wazuh", "Manage Wazuh agents (list, add, remove) through natural language", "Retrieve compliance and vulnerability scan results" ], "pros": [ "210 stars on GitHub, indicating community adoption and reliability", "Written in Rust for performance and memory safety", "Enables natural language interaction with Wazuh SIEM using MCP clients" ], "cons": [ "Requires an existing Wazuh SIEM deployment to function", "Only works with MCP-compatible clients (e.g., Claude)", "May have limited documentation or early stage maturity" ], "tags": [ "llm", "mcp", "mcp-server", "model-context-pro", "model-context-protocol-servers", "security-operations", "siem", "wazuh" ], "featured": false, "tier": "curated", "stars": 210, "language": [ "Rust" ], "license": "MIT", "lastUpdated": "2025-12-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/gbrigandi/mcp-server-wazuh", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "lauriewired-ghidramcp", "mrexodia-ida-pro-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gbrigandi-mcp-server-wazuh" }, { "slug": "gebalamariusz-cloud-audit", "name": "gebalamariusz/cloud-audit", "vendor": "Various", "tagline": "Fast, opinionated AWS security scanner. Curated checks. Zero noise. Copy-paste fixes.", "description": "A fast, opinionated AWS security scanner that runs curated checks and produces zero-noise results. It provides copy-paste fixes for each finding, helping developers quickly remediate issues.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and DevOps engineers needing quick, low-noise AWS security audits with ready-to-use fixes.", "useCases": [ "Scan AWS accounts for common security misconfigurations", "Generate actionable fix commands for compliance violations", "Integrate into CI/CD pipelines for pre-deployment security checks" ], "pros": [ "Curated checks reduce false positives and noise", "Copy-paste fixes speed up remediation", "Lightweight and fast to run" ], "cons": [ "Limited to opinionated checks, may miss niche or custom rules", "Small community with 58 stars, less support and fewer updates", "Python dependency may not suit all environments" ], "tags": [ "audit", "aws", "aws-audit", "aws-security", "cis-benchmarks", "cli", "cloud-security", "compliance" ], "featured": false, "tier": "curated", "stars": 58, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/gebalamariusz/cloud-audit", "relations": { "works_in": [ "aider", "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gebalamariusz-cloud-audit" }, { "slug": "geiserx-atlassian-browser-mcp", "name": "GeiserX/atlassian-browser-mcp", "vendor": "Various", "tagline": "Browser-backed MCP server wrapping mcp-atlassian with Playwright SSO auth for Atlassian Server/Data Center", "description": "GeiserX/atlassian-browser-mcp is a Python-based MCP server that wraps mcp-atlassian and uses Playwright to handle SSO authentication for Atlassian Server and Data Center instances. It enables AI agents to interact with Atlassian tools through browser-based login flows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing AI agent access to on-premise Atlassian instances with SSO", "useCases": [ "Automating Jira ticket creation and updates via AI agents", "Querying Confluence pages with SSO-authenticated access", "Integrating AI assistants with on-premise Atlassian instances" ], "pros": [ "Handles SSO authentication automatically via Playwright", "Works with Atlassian Server and Data Center (not just cloud)", "Lightweight Python implementation with low star count but focused utility" ], "cons": [ "Requires a browser environment for Playwright, adding overhead", "Limited community support due to only 2 GitHub stars", "Dependent on mcp-atlassian for core functionality" ], "tags": [ "ai-tools", "atlassian", "automation", "browser-auth", "claude-code", "confluence", "cookie-auth", "data-center" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "license": "GPL-3.0", "lastUpdated": "2026-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/GeiserX/atlassian-browser-mcp", "relations": { "works_in": [], "uses": [ "sooperset-mcp-atlassian" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/geiserx-atlassian-browser-mcp" }, { "slug": "geiserx-cashpilot-mcp", "name": "GeiserX/cashpilot-mcp", "vendor": "Various", "tagline": "MCP Server for CashPilot — monitor passive income earnings, manage services, and control fleet workers via MCP", "description": "GeiserX/cashpilot-mcp is an MCP server written in Go that connects to CashPilot, a passive income monitoring platform. It allows users to track earnings, manage services, and control fleet workers through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using CashPilot who want to automate monitoring and management via MCP", "useCases": [ "Monitor passive income earnings and service metrics via MCP", "Manage and control fleet worker operations programmatically", "Integrate CashPilot data into AI assistants or automation workflows" ], "pros": [ "Written in Go for performance and low resource usage", "Provides direct MCP access to CashPilot's core features", "Enables automation of fleet and service management tasks" ], "cons": [ "Very low community adoption with only 2 GitHub stars", "Limited documentation and support available", "Requires existing CashPilot account and infrastructure" ], "tags": [ "bandwidth-sharing", "cashpilot", "container-management", "dashboard", "depin", "docker", "earnings", "fleet-management" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "Go" ], "license": "GPL-3.0", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/GeiserX/cashpilot-mcp", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/geiserx-cashpilot-mcp" }, { "slug": "geiserx-duplicacy-mcp", "name": "GeiserX/duplicacy-mcp", "vendor": "Various", "tagline": "MCP Server for Duplicacy — monitor backup status, progress, and health from Prometheus exporter via MCP", "description": "An MCP server that exposes Duplicacy backup status, progress, and health metrics via a Prometheus exporter. It allows MCP-compatible clients to query backup state through the Model Context Protocol. Written in Go, it provides a bridge between Duplicacy and monitoring tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers already using Duplicacy who want to surface backup health through MCP-compatible tools or Prometheus dashboards", "useCases": [ "Monitor Duplicacy backup completion and errors through MCP-compatible assistants", "Integrate Duplicacy health metrics into existing Prometheus and MCP workflows", "Check backup progress and status without direct Duplicacy command-line access" ], "pros": [ "Leverages Prometheus exporter for standardized metrics collection", "Lightweight Go implementation with minimal dependencies", "Enables programmatic backup monitoring within MCP ecosystems" ], "cons": [ "Very early stage project with only 1 GitHub star and limited community validation", "Requires Duplicacy CLI and a running backup configuration to be useful", "No documentation beyond the GitHub README; assumes familiarity with both Duplicacy and MCP" ], "tags": [ "ai-tools", "backup", "backup-monitoring", "deduplication", "docker", "duplicacy", "exporter", "go" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Go" ], "license": "GPL-3.0", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/GeiserX/duplicacy-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "netdata-netdata-netdata" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/geiserx-duplicacy-mcp" }, { "slug": "geiserx-genieacs-mcp", "name": "GeiserX/genieacs-mcp", "vendor": "Various", "tagline": "MCP Server for GenieACS written in Go", "description": "GeiserX/genieacs-mcp is an MCP server for GenieACS written in Go. It provides a standardized interface for managing and interacting with GenieACS, a TR-069 auto-configuration server for CPE devices.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers already using GenieACS who want to connect it to MCP-compatible clients or workflows", "useCases": [ "Integrating GenieACS device management into MCP-compatible workflows", "Automating TR-069 device configuration and firmware updates", "Building custom tools that query or modify CPE device parameters" ], "pros": [ "Written in Go for efficient performance and easy deployment", "Leverages MCP protocol for standardized tool integration", "Small codebase with low overhead" ], "cons": [ "Very early stage with only 12 stars and limited community adoption", "Requires existing GenieACS infrastructure to be useful", "No documentation or usage examples beyond the repository description" ], "tags": [ "acs", "ai", "automation", "cpe", "cwmp", "device-management", "docker", "genieacs" ], "featured": false, "tier": "curated", "stars": 12, "language": [ "Go" ], "license": "GPL-3.0", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/GeiserX/genieacs-mcp", "relations": { "works_in": [ "continue", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/geiserx-genieacs-mcp" }, { "slug": "geiserx-lynxprompt-mcp", "name": "GeiserX/lynxprompt-mcp", "vendor": "Various", "tagline": "MCP Server for LynxPrompt — browse, search, and manage AI configuration blueprints (AGENTS.md, CLAUDE.md) via MCP", "description": "GeiserX/lynxprompt-mcp is an MCP server that lets you browse, search, and manage AI configuration blueprints like AGENTS.md and CLAUDE.md. It connects these configuration files to MCP-compatible tools for streamlined access and organization.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers already using LynxPrompt who need MCP access to their configuration blueprints.", "useCases": [ "Browse available AI configuration blueprints via MCP", "Search across AGENTS.md and CLAUDE.md files programmatically", "Manage and update AI config blueprints through MCP commands" ], "pros": [ "Lightweight Go implementation with low overhead", "Direct MCP integration for existing toolchains", "Focused scope reduces complexity" ], "cons": [ "Very early stage with only 1 GitHub star", "Limited to LynxPrompt-specific configuration files", "Small community and minimal documentation" ], "tags": [ "agents-md", "ai-configuration", "ai-prompts", "ai-tools", "blueprint", "claude-md", "cursor-rules", "docker" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Go" ], "license": "GPL-3.0", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/GeiserX/lynxprompt-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "cline", "claude-code" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/geiserx-lynxprompt-mcp" }, { "slug": "geiserx-spinnaker-mcp", "name": "GeiserX/spinnaker-mcp", "vendor": "Various", "tagline": "MCP Server for Spinnaker — manage applications, pipelines, and deployments via the Model Context Protocol", "description": "This MCP server exposes Spinnaker application, pipeline, and deployment management through the Model Context Protocol. It enables AI agents to interact with Spinnaker by providing a standardized interface. Written in Go, it is a lightweight bridge between MCP clients and Spinnaker's API.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-assisted CI/CD workflows with Spinnaker", "useCases": [ "Automating Spinnaker deployments via AI assistants", "Managing pipelines through natural language commands", "Integrating Spinnaker with MCP-compatible tools" ], "pros": [ "Provides a standardized MCP interface for Spinnaker", "Lightweight Go implementation", "Enables AI-driven infrastructure management" ], "cons": [ "Very early stage with only 2 GitHub stars", "Limited community support and documentation", "Requires running a separate MCP server alongside Spinnaker" ], "tags": [ "ai", "automation", "ci-cd", "cloud-native", "continuous-delivery", "deployment", "devops", "docker" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "Go" ], "license": "GPL-3.0", "lastUpdated": "2026-05-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/GeiserX/spinnaker-mcp", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/geiserx-spinnaker-mcp" }, { "slug": "geiserx-telegram-archive-mcp", "name": "GeiserX/telegram-archive-mcp", "vendor": "Various", "tagline": "MCP Server for Telegram-Archive — search messages, browse chats, and access archived Telegram history via MCP", "description": "GeiserX/telegram-archive-mcp is an MCP server written in Go that provides programmatic access to archived Telegram history. It allows searching messages and browsing chats through the Model Context Protocol, enabling AI agents to query Telegram archives.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI tools that need to query archived Telegram data", "useCases": [ "Search messages in archived Telegram chats", "Browse chat history programmatically", "Integrate Telegram archive data with AI agents via MCP" ], "pros": [ "Written in Go for good performance", "Open source with a permissive license", "Provides a standard MCP interface for AI tooling" ], "cons": [ "Low star count (4) indicates limited community adoption", "Requires a pre-existing Telegram Archive instance to function", "Documentation and examples may be sparse" ], "tags": [ "ai-tools", "archive", "chat-backup", "chat-history", "docker", "go", "golang", "json-rpc" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "Go" ], "license": "GPL-3.0", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/GeiserX/telegram-archive-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "lharries-whatsapp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/geiserx-telegram-archive-mcp" }, { "slug": "gemy411-multi-research-agents", "name": "gemy411/multi-research-agents", "vendor": "Various", "tagline": "a KTOR server/ MCP server written in Kotlin applying multi-agents schools in a flexible research system to be used with coding or for research any general", "description": "A KTOR server and MCP server written in Kotlin that implements a flexible multi-agent research system. It applies multiple agent schools to handle research tasks for coding or general queries. The server coordinates agents to gather and synthesize information.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building custom multi-agent research systems in Kotlin", "useCases": [ "Automating research on coding libraries or documentation", "Building a multi-agent research assistant for general knowledge queries", "Integrating research capabilities into MCP-compatible development tools" ], "pros": [ "Lightweight KTOR server suitable for Kotlin and Java ecosystems", "Flexible multi-agent architecture adaptable to different research domains", "Supports both coding and general research use cases" ], "cons": [ "Small community with limited documentation and examples", "Requires Kotlin runtime and familiarity with KTOR", "Early stage project with fewer features than established research agent frameworks" ], "tags": [], "featured": false, "tier": "curated", "stars": 16, "language": [ "Kotlin" ], "license": "MIT", "lastUpdated": "2026-03-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/gemy411/multi-agents-research", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gemy411-multi-research-agents" }, { "slug": "genomoncology-biomcp", "name": "genomoncology/biomcp", "vendor": "Various", "tagline": "BioMCP: Biomedical Model Context Protocol", "description": "BioMCP is an open-source Rust library that implements the Model Context Protocol for biomedical data. It provides a standardized interface for AI agents to query and retrieve structured biomedical information from multiple sources.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need reliable access to structured biomedical data", "useCases": [ "Integrating biomedical knowledge bases into AI agent workflows", "Building clinical decision support tools that query drug and disease databases", "Enabling LLMs to access curated biomedical ontologies and datasets" ], "pros": [ "Written in Rust for performance and memory safety", "Standardized protocol reduces integration effort across biomedical tools", "Active open-source community with 500+ GitHub stars" ], "cons": [ "Requires understanding of both Rust and the Model Context Protocol", "Limited to biomedical domain; not a general-purpose tool", "Documentation and examples may be sparse for new users" ], "tags": [ "ai", "bioinformatics", "clinical-trials", "genomics", "llm", "mcp", "mcp-server", "medical" ], "featured": false, "tier": "curated", "stars": 521, "language": [ "Rust" ], "license": "MIT", "lastUpdated": "2026-05-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/genomoncology/biomcp", "relations": { "works_in": [ "continue", "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/genomoncology-biomcp" }, { "slug": "genwavellc-svgmaker-mcp", "name": "GenWaveLLC/svgmaker-mcp", "vendor": "Various", "tagline": "Model Context Protocol server for SVGMaker - AI-powered SVG generation and editing. Seamlessly integrate SVG creation into AI workflows.", "description": "A Model Context Protocol server that wraps the SVGMaker library to provide SVG generation and editing capabilities to MCP-compatible AI agents. It allows agents to create and modify scalable vector graphics programmatically through standardised tool calls.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to add SVG generation capabilities to MCP-based agent workflows without building a custom integration.", "useCases": [ "Generate SVG icons or illustrations from natural language prompts", "Edit existing SVG files (resize, recolor, restructure) via agent commands", "Integrate SVG creation into chat-based AI workflows for rapid prototyping" ], "pros": [ "Built on the MCP standard, enabling drop-in use with many AI hosts", "Written in TypeScript, offering type safety and broad ecosystem compatibility", "Open source with a permissive license for community contributions" ], "cons": [ "Relatively small user base (73 stars) suggests limited real-world testing", "Depends entirely on the SVGMaker library, which may lack advanced editing features", "Documentation and examples are sparse, increasing the learning curve" ], "tags": [], "featured": false, "tier": "curated", "stars": 73, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/GenWaveLLC/svgmaker-mcp", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [ "glips-figma-context-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/genwavellc-svgmaker-mcp" }, { "slug": "geolabel-geolabel-mcp", "name": "geolabel/geolabel-mcp", "vendor": "Various", "tagline": "MCP server for GeoLabel — GPS coordinates to AI-ready location context", "description": "An MCP server that converts GPS coordinates into structured location context for AI applications. It accepts latitude/longitude inputs and returns place names, administrative areas, and other geographic metadata. The server is implemented in Python and follows the Model Context Protocol for integration with AI agents and tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need location-aware context", "useCases": [ "Enriching GPS data for AI model inputs", "Converting coordinates to human-readable locations", "Providing location context for agent workflows" ], "pros": [ "Simple integration via MCP protocol", "Python-based, easy to extend or modify", "Provides structured location context from raw coordinates" ], "cons": [ "No stars yet, limited community adoption", "Requires external geocoding service or local data source", "Only outputs context, no visualization or mapping" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/geolabel/geolabel-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/geolabel-geolabel-mcp" }, { "slug": "gerkensm-callcenter-js-mcp", "name": "gerkensm/callcenter.js-mcp", "vendor": "Various", "tagline": "Callcenter.JS AI Voice Agent VOIP Connector, MCP + CLI", "description": "An MCP server and CLI that connects Callcenter.JS AI voice agents to VOIP telephony systems. It enables developers to integrate voice interactions with telephony infrastructure using the Model Context Protocol and command-line tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI voice agent telephony integrations using Callcenter.JS", "useCases": [ "Connecting AI voice agents to telephony networks", "Managing voice call flows via CLI commands", "Integrating telephony into MCP-compatible agent frameworks" ], "pros": [ "Open source and written in TypeScript", "Provides both MCP server and CLI for flexible integration", "Low entry barrier for developers familiar with voice agent tooling" ], "cons": [ "Small community with limited documentation", "Narrowly scoped to Callcenter.JS voice agents", "Requires separate VOIP infrastructure setup" ], "tags": [], "featured": false, "tier": "curated", "stars": 21, "language": [ "TypeScript" ], "lastUpdated": "2025-10-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/gerkensm/callcenter.js-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gerkensm-callcenter-js-mcp" }, { "slug": "get-convex-convex-backend", "name": "get-convex/convex-backend", "vendor": "Various", "tagline": "Convex now supports a powerful MCP server that lets you introspect your deployment's state, run functions, and read and write data.", "description": "Convex's MCP server allows developers to introspect deployment state, run functions, and read/write data directly from their development environment. It integrates with tools that support the Model Context Protocol to provide real-time access to Convex backends.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building on Convex who want to interact with their backend from within their editor or CLI", "useCases": [ "Inspecting deployment state and schema during development", "Running Convex functions from an IDE or CLI tool", "Reading and writing data for debugging or testing" ], "pros": [ "Provides direct, real-time access to Convex backend state", "Works with any MCP-compatible client or tool", "Reduces context switching by keeping operations in the development environment" ], "cons": [ "Requires an MCP-compatible client to use", "Limited to Convex deployments only", "No built-in support for non-Convex data sources" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://stack.convex.dev/convex-mcp-server", "screenshotUrl": "https://cdn.sanity.io/images/ts10onj4/production/1cbc8e5d7d64f609247051a91fdb3c56d7bb74e7-1938x1094.png", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "awslabs-mcp" ], "alternative_to": [ "mindsdb-mindsdb", "upstash-context7" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/get-convex-convex-backend" }, { "slug": "getaegis-aegis", "name": "getaegis/aegis", "vendor": "Various", "tagline": "Credential isolation for AI agents. Local-first transparent proxy — your agent never sees your API keys.", "description": "A local-first transparent proxy that isolates credentials from AI agents. It intercepts API calls so the agent never directly sees your API keys, with no code changes required.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to safely run third-party or untrusted AI agents on their own machine", "useCases": [ "Run AI agents without exposing API keys in prompts or logs", "Add credential isolation to existing agent workflows", "Enforce key rotation or access policies per agent session" ], "pros": [ "Simple setup with zero code modification", "Keeps credentials out of agent context and history", "Open source with a small TypeScript codebase" ], "cons": [ "Limited to agents using HTTP-based API calls", "Still early stage with only 11 GitHub stars", "Requires running a local proxy server alongside your agent" ], "tags": [ "ai-agent", "ai-security", "cli", "credential-management", "devtools", "mcp", "mcp-server", "proxy" ], "featured": false, "tier": "curated", "stars": 11, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-04-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/getaegis/aegis", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/getaegis-aegis" }, { "slug": "getalai-alai-mcp-server", "name": "getalai/alai-mcp-server", "vendor": "Various", "tagline": "Alai MCP Server", "description": "Alai MCP Server is an open-source JavaScript implementation of the Model Context Protocol. It allows AI models to interact with external tools and data sources through a standardized server interface. The server runs on Node.js and handles tool registration, invocation, and context management.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building custom AI tool integrations using JavaScript and Node.js", "useCases": [ "Integrating AI assistants with custom APIs and databases", "Building tool ecosystems for LLM-powered applications", "Enabling context-aware interactions between AI models and external services" ], "pros": [ "Lightweight JavaScript implementation easy to integrate into Node.js projects", "Follows the MCP standard for interoperability with compatible AI models", "Open source with permissive licensing for customization" ], "cons": [ "Limited community adoption and documentation due to low star count", "May lack advanced features found in more mature MCP server implementations", "Requires Node.js runtime, not suitable for non-JavaScript environments" ], "tags": [], "featured": false, "tier": "curated", "stars": 4, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/getalai/alai-mcp-server", "relations": { "works_in": [ "cline", "continue", "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/getalai-alai-mcp-server" }, { "slug": "getalby-mcp", "name": "getAlby/mcp", "vendor": "Various", "tagline": "Connect a bitcoin lightning wallet to your LLM using Nostr Wallet Connect and Model Context Protocol", "description": "This is an MCP server that connects a Bitcoin Lightning wallet to an LLM using Nostr Wallet Connect. It enables AI agents to send and receive Lightning payments, check balances, and manage invoices through natural language commands. The tool is written in TypeScript and implements the Model Context Protocol for standardized LLM tool integration.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to handle Bitcoin micropayments or tipping", "useCases": [ "Enable LLM agents to send Bitcoin Lightning payments", "Automate microtransactions from AI workflows", "Check wallet balance and transaction history via natural language" ], "pros": [ "Open source and leverages standard protocols (MCP and NWC)", "Lightweight TypeScript implementation with clear architecture", "Enables practical Bitcoin micropayments for AI agents" ], "cons": [ "Requires a Lightning wallet that supports Nostr Wallet Connect", "Limited to Bitcoin Lightning network only", "Relatively new project with a small community (66 stars)" ], "tags": [], "featured": false, "tier": "curated", "stars": 66, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-05-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/getAlby/mcp", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/getalby-mcp" }, { "slug": "getalby-nwc-mcp-server", "name": "getalby/nwc-mcp-server", "vendor": "Various", "tagline": "Connect a bitcoin lightning wallet to your LLM using Nostr Wallet Connect and Model Context Protocol", "description": "A lightweight server that links a Bitcoin Lightning wallet to an LLM through Nostr Wallet Connect and the Model Context Protocol. It enables AI agents to make payments and query wallet balances over the Lightning Network.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to send or receive small Bitcoin payments", "useCases": [ "Enable an LLM to send micropayments for API calls or services", "Check wallet balance or transaction history via natural language", "Automate Lightning tipping or pay-per-request workflows in agents" ], "pros": [ "Direct integration between MCP agents and real Bitcoin payments", "Small codebase (TypeScript) easy to audit or extend", "Leverages open, decentralized Nostr protocol for wallet control" ], "cons": [ "Requires an Alby or compatible Lightning wallet already set up", "Very early stage with only 14 stars and limited community support", "Dependent on Nostr infrastructure which adds latency and complexity" ], "tags": [], "featured": false, "tier": "curated", "stars": 14, "language": [ "TypeScript" ], "lastUpdated": "2025-06-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/getalby/nwc-mcp-server", "relations": { "works_in": [ "aider", "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/getalby-nwc-mcp-server" }, { "slug": "getcacheoverflow-cacheoverflow", "name": "GetCacheOverflow/CacheOverflow", "vendor": "Various", "tagline": "📇 ☁️ - AI agent knowledge marketplace where agents share solutions and earn tokens. Search, publish, and unlock previously solved problems to reduce token usage and computational", "description": "CacheOverflow is a knowledge marketplace where AI agents publish and search previously solved problems. Agents earn tokens for contributing solutions and can unlock shared knowledge to reduce token usage and computational cost.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to share and reuse problem solutions to save on compute.", "useCases": [ "Share solved agent problems to avoid redundant computation", "Search for existing solutions to reduce token consumption", "Earn tokens by contributing reusable knowledge" ], "pros": [ "Reduces token usage and compute costs by reusing solutions", "Incentivizes knowledge sharing with token rewards", "Decentralized approach to agent memory" ], "cons": [ "Small community with only 17 GitHub stars", "Relies on active participation from agents to grow the knowledge base", "No proven integration compatibility or documentation details" ], "tags": [], "featured": false, "tier": "curated", "stars": 17, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-02-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/GetCacheOverflow/CacheOverflow", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "topoteretes-cognee", "vectorize-io-hindsight" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/getcacheoverflow-cacheoverflow" }, { "slug": "getmockd-mockd", "name": "getmockd/mockd", "vendor": "Various", "tagline": "High-performance, multi-protocol mock server. HTTP, WebSocket, gRPC, MQTT, SSE, GraphQL, SOAP in one binary.", "description": "Mockd is a high-performance mock server supporting HTTP, WebSocket, gRPC, MQTT, SSE, GraphQL, and SOAP in a single Go binary. It allows developers to simulate multiple backend services for testing and development without running separate servers.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a lightweight multi-protocol mock server for testing and prototyping", "useCases": [ "Mocking REST APIs for frontend development", "Simulating WebSocket and gRPC services for integration tests", "Stubbing MQTT and SSE endpoints for IoT or real-time applications" ], "pros": [ "Single binary covers many protocols reducing setup complexity", "High-performance suitable for load testing scenarios", "Open source with Go language for easy customization" ], "cons": [ "Relatively small community (123 stars) may mean fewer examples or contributions", "Each protocol may lack advanced features compared to dedicated mock tools", "Documentation and tutorials may be limited" ], "tags": [ "api-mocking", "chaos-engineering", "cli", "developer-tools", "golang", "graphql", "grpc", "mcp" ], "featured": false, "tier": "curated", "stars": 123, "language": [ "Go" ], "license": "Apache-2.0", "lastUpdated": "2026-05-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/getmockd/mockd", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/getmockd-mockd" }, { "slug": "getmystadmin-urdb-mcp", "name": "GetMystAdmin/urdb-mcp", "vendor": "Various", "tagline": "GetMystAdmin/urdb-mcp — indexed from awesome-mcp-servers-punkpeye", "description": "GetMystAdmin/urdb-mcp is a JavaScript MCP server for interacting with urdb. It is listed in the awesome-mcp-servers collection and has a single star, indicating an early-stage project.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring MCP integrations with urdb in experimental or proof-of-concept projects", "useCases": [ "Connecting AI assistants to urdb via the Model Context Protocol", "Querying or manipulating urdb data through MCP tools", "Prototyping MCP-based integrations with urdb" ], "pros": [ "Simple JavaScript implementation suitable for quick experimentation", "Part of the curated awesome-mcp-servers list, easing discovery" ], "cons": [ "Very early stage with only 1 star, likely limited testing and documentation", "No clear indication of urdb's purpose or supported operations", "Community support and maintenance are uncertain" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/GetMystAdmin/urdb-mcp", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/getmystadmin-urdb-mcp" }, { "slug": "getrupt-ashra-mcp", "name": "getrupt/ashra-mcp", "vendor": "Various", "tagline": "A Model Context Protocol server for Ashra", "description": "A Model Context Protocol (MCP) server that enables AI agents to interact with Ashra, a self-hostable knowledge base and personal AI assistant. It exposes Ashra's document storage and retrieval capabilities through a standard MCP interface, allowing agents to read, write, and search knowledge entries.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who self-host Ashra and want to connect AI agents to their personal knowledge base", "useCases": [ "Connecting AI coding agents to a self-hosted knowledge base for retrieval-augmented generation", "Automating note-taking and document ingestion into Ashra from developer workflows", "Building autonomous agents that query personal or team knowledge stores via MCP" ], "pros": [ "Simple TypeScript codebase with 62 stars, easy to audit and extend", "Leverages the open MCP standard for interoperable agent tooling", "Self-hostable, giving users full control over their knowledge data" ], "cons": [ "Requires running a separate Ashra server instance to function", "Small community and limited documentation beyond the repository", "Narrowly scoped to Ashra's data model, not a general-purpose knowledge tool" ], "tags": [], "featured": false, "tier": "curated", "stars": 62, "language": [ "TypeScript" ], "lastUpdated": "2025-03-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/getrupt/ashra-mcp", "relations": { "works_in": [ "claude-code", "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/getrupt-ashra-mcp" }, { "slug": "getsentry-sentry-mcp", "name": "getsentry/sentry-mcp", "vendor": "Various", "tagline": "An MCP server for interacting with Sentry via LLMs.", "description": "This MCP server connects large language models to Sentry's API. It allows LLMs to query issues, view events, and manage project status. The TypeScript implementation follows the Model Context Protocol for interoperability.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and ops teams using Sentry who want to interact with error data through chat or AI assistants.", "useCases": [ "Query and investigate Sentry issues with natural language", "Retrieve and summarize error trends across projects", "Perform actions like assigning or resolving issues" ], "pros": [ "Leverages the open MCP protocol for broad LLM compatibility", "Direct interface to Sentry's full feature set", "Active community with 712 GitHub stars" ], "cons": [ "Requires Sentry account and API token", "Cannot access data outside Sentry's scope", "MCP integration is still evolving and may have limited client support" ], "tags": [ "mcp-server", "tag-production" ], "featured": false, "tier": "curated", "stars": 712, "language": [ "TypeScript" ], "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/getsentry/sentry-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp", "browsermcp-mcp", "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/getsentry-sentry-mcp" }, { "slug": "gigamori-mcp-run-sql-connectorx", "name": "gigamori/mcp-run-sql-connectorx", "vendor": "Various", "tagline": "An MCP server that executes SQL via ConnectorX and streams (using Arrow RecordBatch) the result to CSV or Parquet. Supports PostgreSQL, MySQL, MariaDB, SQLite, MS SQL Server, Amazo", "description": "An MCP server that executes SQL queries via ConnectorX and streams results as Arrow RecordBatch. Outputs data to CSV or Parquet. Supports PostgreSQL, MySQL, MariaDB, SQLite, MS SQL Server, Amazon Redshift, and Google BigQuery.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to run SQL queries and export results via the MCP protocol", "useCases": [ "Run SQL queries from an MCP client and export results to CSV or Parquet", "Stream query results efficiently using Arrow RecordBatch for large datasets", "Connect to multiple database types through a single MCP server interface" ], "pros": [ "Supports a wide range of databases including cloud and on-premise", "Uses Arrow for efficient data streaming and format conversion", "Simple integration with MCP-compatible clients" ], "cons": [ "Low community adoption (1 star) indicates limited testing or documentation", "No built-in authentication or security features mentioned", "Requires an MCP client to interact; not a standalone query tool" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-09-03", "addedAt": "2026-06-01", "officialLink": "https://github.com/gigamori/mcp-run-sql-connectorx", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "antv-mcp-server-chart", "mckinsey-vizro-mcp", "haris-musa-excel-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gigamori-mcp-run-sql-connectorx" }, { "slug": "girste-mcp-cybersec-watchdog", "name": "girste/mcp-cybersec-watchdog", "vendor": "Various", "tagline": "🐕 Linux security audit tool", "description": "girste/mcp-cybersec-watchdog is a Linux security audit tool written in Go. It performs checks for common misconfigurations and vulnerabilities on Linux systems. The tool is available as an open-source repository on GitHub.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Linux system administrators and security engineers needing a quick, lightweight audit tool.", "useCases": [ "Audit Linux system security configurations", "Identify potential vulnerabilities in real-time", "Verify compliance with security baselines" ], "pros": [ "Lightweight and fast due to Go compilation", "Open-source with permissive licensing", "Focuses specifically on Linux security" ], "cons": [ "Limited community and documentation due to low star count", "May require root privileges for full audit scope", "Not regularly updated or maintained" ], "tags": [ "audit", "baseline", "devops", "go", "linux", "mcp", "monitoring", "security" ], "featured": false, "tier": "curated", "stars": 50, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-02-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/girste/mcp-cybersec-watchdog", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/girste-mcp-cybersec-watchdog" }, { "slug": "giskard09-argentum-core", "name": "giskard09/argentum-core", "vendor": "Various", "tagline": "ARGENTUM core — karma economy for agents and humans", "description": "ARGENTUM core is a Python framework that implements a karma economy for agents and humans. It provides a system for tracking and exchanging reputation or karma points between participants.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with karma-based reputation systems in agent frameworks", "useCases": [ "Building reputation systems for multi-agent environments", "Implementing karma-based incentive mechanisms in decentralized apps", "Creating trust metrics for human-agent interactions" ], "pros": [ "Novel approach to reputation management", "Lightweight Python implementation", "Open source with permissive license" ], "cons": [ "Very early stage with only 2 GitHub stars", "Limited documentation and community support", "Unproven in production environments" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/giskard09/argentum-core", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/giskard09-argentum-core" }, { "slug": "giskard09-giskard-oasis", "name": "giskard09/giskard-oasis", "vendor": "Various", "tagline": "A still point for AI agents in fog — return to flow, pay in sats", "description": "giskard-oasis provides a mechanism for AI agents to pause and reset their state, with payments processed in satoshis. It is written in Python and currently has no stars on GitHub, indicating early development.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with agent recovery and microtransaction mechanisms in AI systems", "useCases": [ "Resetting agent behavior during runtime", "Enabling microtransaction-based checkpoints", "Recovering agents from uncertain states" ], "pros": [ "Offers a simple agent reset mechanism", "Integrates Bitcoin-based micropayments" ], "cons": [ "No user base or community support", "Limited documentation and testing (inferred from zero stars)", "Depends on Bitcoin payment infrastructure" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/giskard09/giskard-oasis", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/giskard09-giskard-oasis" }, { "slug": "gistpad-mcp", "name": "GistPad-MCP", "vendor": "Various", "tagline": "📓 An MCP server for managing your personal knowledge, daily notes, and re-usable prompts via GitHub Gists", "description": "GistPad-MCP is an MCP server for managing personal knowledge, daily notes, and reusable prompts stored as GitHub Gists. It uses the Model Context Protocol to integrate with AI tools, allowing users to create, update, and retrieve gists programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a simple, GitHub-based way to manage notes and prompts through MCP-compatible AI assistants.", "useCases": [ "Store and organize daily notes as GitHub Gists", "Manage a library of reusable prompts for AI interactions", "Build custom knowledge workflows using Gist-based content" ], "pros": [ "Leverages free and familiar GitHub Gist infrastructure", "Compatible with MCP-enabled AI tools for seamless integration", "Lightweight and written in TypeScript for easy customization" ], "cons": [ "Requires a GitHub account and depends on Gist API rate limits", "Limited to text-based storage; no native support for images or attachments", "Relatively low adoption (195 stars) may indicate limited community support" ], "tags": [ "gists", "mcp", "mcp-server", "notetaking", "pkm" ], "featured": false, "tier": "curated", "stars": 195, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-01-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/lostintangent/gistpad-mcp", "relations": { "works_in": [], "uses": [ "github" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gistpad-mcp" }, { "slug": "githejie-mcp-server-calculator", "name": "githejie/mcp-server-calculator", "vendor": "Various", "tagline": "A Model Context Protocol server for calculating.", "description": "A Model Context Protocol server that exposes calculator functionality as a tool for AI agents. It wraps basic arithmetic operations into a standardized MCP interface, allowing LLMs to perform calculations by calling the server.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based agents that need deterministic arithmetic without relying on LLM math", "useCases": [ "Enabling an LLM to compute precise arithmetic results during a conversation", "Integrating a reliable calculator into an MCP-compatible agent workflow", "Offloading numerical computation from an LLM to a deterministic Python backend" ], "pros": [ "Simple, focused tool with a clear single purpose", "Leverages MCP for standardized agent integration", "Lightweight Python implementation with 148 GitHub stars" ], "cons": [ "Limited to basic arithmetic with no advanced math functions", "Requires an MCP-compatible host to be useful", "No built-in error handling for edge cases like division by zero" ], "tags": [], "featured": false, "tier": "curated", "stars": 148, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-05-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/githejie/mcp-server-calculator", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "pydantic-pydantic-ai-mcp-run-python", "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/githejie-mcp-server-calculator" }, { "slug": "gitea-gitea-mcp", "name": "gitea/gitea-mcp", "vendor": "Various", "tagline": "Interactive with Gitea instances with MCP", "description": "Implements the Model Context Protocol to enable AI assistants to interact with Gitea instances. Provides operations for repository management, issue tracking, and other Gitea features through MCP.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using self-hosted Gitea with AI assistants", "useCases": [ "Automating repository creation from AI conversations", "Managing issues and pull requests via natural language", "Querying Gitea data through MCP-enabled clients" ], "pros": [ "Seamless integration with MCP-compatible AI tools", "Open source and self-hostable", "Provides direct API access to Gitea features" ], "cons": [ "Requires a running Gitea instance and MCP client", "Limited to Gitea-specific operations", "Documentation may be minimal for new users" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://gitea.com/gitea/gitea-mcp", "screenshotUrl": "https://gitea.com/avatars/35dea380390772b3130aafbac7ca49e6", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gitea-gitea-mcp" }, { "slug": "gitmotion-ntfy-me-mcp", "name": "gitmotion/ntfy-me-mcp", "vendor": "Various", "tagline": "An ntfy MCP server for sending/fetching ntfy notifications to self-hosted or ANY ntfy.sh server from AI Agents 📤 (supports secure token auth & more - use with npx or docker!)", "description": "An MCP server that allows AI agents to send and fetch ntfy notifications to self-hosted or the public ntfy.sh server. It uses secure token authentication and can be run via npx or Docker.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need ntfy notification capabilities within MCP-connected AI agent systems", "useCases": [ "Send push notifications from an AI agent to a mobile device", "Retrieve notification history for monitoring or logging", "Integrate ntfy alerts into MCP-based workflows" ], "pros": [ "Works with both self-hosted and public ntfy.sh servers", "Easy deployment using npx or Docker", "Supports token-based authentication for secure access" ], "cons": [ "Depends on ntfy infrastructure and its availability", "Limited to ntfy's notification features (no custom actions)", "Small community (61 stars) with potentially less support" ], "tags": [ "agent", "ai", "ai-tools", "claude", "docker", "llm", "llm-agent", "mcp" ], "featured": false, "tier": "curated", "stars": 61, "language": [ "TypeScript" ], "license": "GPL-3.0", "lastUpdated": "2026-04-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/gitmotion/ntfy-me-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp", "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gitmotion-ntfy-me-mcp" }, { "slug": "gitkraken-gk-cli", "name": "gitkraken/gk-cli", "vendor": "Various", "tagline": "GitKraken CLI Releases and Documentation", "description": "GitKraken CLI is a command-line tool that provides Git repository management and collaboration features. It integrates with GitKraken's ecosystem to offer a terminal-based interface for common Git operations and team workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers already using GitKraken who want a consistent terminal experience", "useCases": [ "Managing Git repositories from the command line with GitKraken integration", "Automating Git workflows in CI/CD pipelines", "Collaborating on code reviews and pull requests via terminal" ], "pros": [ "Seamless integration with GitKraken's GUI and cloud services", "Lightweight and fast for terminal users", "Open source with active development" ], "cons": [ "Limited to GitKraken ecosystem features", "Smaller community compared to native Git CLI", "Requires GitKraken account for full functionality" ], "tags": [ "cli", "git", "gitkraken", "terminal" ], "featured": false, "tier": "curated", "stars": 410, "language": [], "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/gitkraken/gk-cli", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "idosal-git-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gitkraken-gk-cli" }, { "slug": "gittyburstein-mermaid-mcp-server", "name": "GittyBurstein/mermaid-mcp-server", "vendor": "Various", "tagline": "MCP server for generating Mermaid diagrams from projects (local/GitHub) and rendering via Kroki.", "description": "A Model Context Protocol server that generates Mermaid diagrams from project source code, supporting both local directories and GitHub repositories. It analyzes code structure and metadata to produce diagrams and renders them using Kroki.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers seeking to generate code diagrams via MCP-enabled AI assistants", "useCases": [ "Generate architecture diagrams from a codebase automatically", "Create flowcharts of project workflows for documentation", "Visualize git commit history or dependency graphs" ], "pros": [ "Integrates with MCP-compatible LLMs for automated diagramming", "Supports both local and remote repositories", "Leverages Kroki for flexible rendering formats" ], "cons": [ "Low community adoption (13 GitHub stars)", "Limited documentation and examples", "Requires external Kroki service for rendering" ], "tags": [], "featured": false, "tier": "curated", "stars": 13, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-01-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/GittyBurstein/mermaid-mcp-server", "relations": { "works_in": [ "cline", "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gittyburstein-mermaid-mcp-server" }, { "slug": "gitopia-gitopia-mcp-server", "name": "gitopia/gitopia-mcp-server", "vendor": "Various", "tagline": "MCP server for Gitopia", "description": "An MCP (Model Context Protocol) server that interfaces with Gitopia, a decentralized git platform. It allows AI agents to programmatically interact with Gitopia repositories through the standard MCP interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring decentralized git workflows and wanting to connect AI agents via the Model Context Protocol.", "useCases": [ "Automating repository management tasks on Gitopia via AI agents", "Integrating Gitopia workflows into MCP-compatible AI assistants", "Building decentralized CI/CD pipelines triggered by AI agents" ], "pros": [ "Enables AI-driven automation for a decentralized git ecosystem", "Implements the open MCP standard for broad interoperability" ], "cons": [ "Very low community adoption (1 star on GitHub)", "Limited documentation and support due to early stage", "Relies on Gitopia's infrastructure which has its own adoption hurdles" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-04-03", "addedAt": "2026-06-01", "officialLink": "https://github.com/gitopia/gitopia-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "idosal-git-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gitopia-gitopia-mcp-server" }, { "slug": "giuliohome-org-doc-manager", "name": "giuliohome-org/doc-manager", "vendor": "Various", "tagline": "cloud copy-paste content sharing", "description": "A JavaScript tool for sharing content via cloud copy-paste. It allows users to upload text or code snippets and retrieve them with a link. The project is hosted on GitHub with no stars, indicating early or limited adoption.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a minimal, no-frills way to share text snippets across devices", "useCases": [ "Quickly share code snippets between devices", "Temporarily store and retrieve text notes", "Collaborate by sharing clipboard content via URL" ], "pros": [ "Simple concept: copy-paste to cloud", "Lightweight JavaScript implementation", "No account or login required" ], "cons": [ "No stars or community traction", "Limited documentation and features", "Potential reliability and uptime concerns" ], "tags": [ "azure-container-apps", "claude", "containerd", "kanilko", "mcp", "mcp-server", "model-context-protocol", "rust" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/giuliohome-org/doc-manager", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/giuliohome-org-doc-manager" }, { "slug": "giuseppe-coco-google-workspace-mcp-server", "name": "giuseppe-coco/Google-Workspace-MCP-Server", "vendor": "Various", "tagline": "🐍 ☁️ 🍎 🪟 🐧 - MCP server that seamlessly interacts with your Google Calendar, Gmail, Drive and so on.", "description": "An open-source MCP server written in Python that enables interaction with Google Workspace services including Calendar, Gmail, and Drive. It provides a standardized interface for AI agents or tools to read, create, and manage Google Workspace data.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or tools that need programmatic access to Google Workspace services", "useCases": [ "Integrating Google Calendar and Gmail with AI assistants for scheduling and email management", "Automating file operations on Google Drive through agent workflows", "Building custom tools that read and write Google Workspace data via the Model Context Protocol" ], "pros": [ "Open source and Python-based, easy to extend or modify", "Supports multiple Google Workspace services in one server", "Leverages the Model Context Protocol for standardized agent integration" ], "cons": [ "Low GitHub star count (29) suggests limited community adoption and testing", "Requires manual Google API setup and authentication configuration", "Documentation and examples may be sparse due to early stage" ], "tags": [], "featured": false, "tier": "curated", "stars": 29, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-07-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/giuseppe-coco/Google-Workspace-MCP-Server", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/giuseppe-coco-google-workspace-mcp-server" }, { "slug": "gjenkins20-unofficial-fortimonitor-mcp-server", "name": "gjenkins20/unofficial-fortimonitor-mcp-server", "vendor": "Various", "tagline": "Model Context Protocol (MCP) server for FortiMonitor v2 API integration with AI. 241 tools across 33 modules providing near-complete coverage of the FortiMonitor v2 API.", "description": "An unofficial Model Context Protocol (MCP) server that wraps the FortiMonitor v2 API, exposing 241 tools across 33 modules for near-complete API coverage. It enables AI assistants to interact with FortiMonitor endpoints through the MCP standard.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing to connect AI assistants to FortiMonitor for automated network monitoring and management.", "useCases": [ "Automating FortiMonitor network monitoring tasks via AI assistants", "Querying and managing FortiMonitor alerts, devices, and reports programmatically", "Integrating FortiMonitor data into MCP-compatible AI workflows" ], "pros": [ "Extensive tool coverage with 241 tools across 33 modules", "Open-source Python implementation for easy customization", "Follows the MCP standard for interoperability with AI clients" ], "cons": [ "Unofficial and community-maintained with only 1 star", "Requires FortiMonitor v2 API access and credentials", "Limited documentation and support beyond the repository" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/gjenkins20/unofficial-fortimonitor-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "browsermcp-mcp", "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gjenkins20-unofficial-fortimonitor-mcp-server" }, { "slug": "gjenkins20-webmin-mcp-server", "name": "gjenkins20/webmin-mcp-server", "vendor": "Various", "tagline": "MCP server for managing Linux systems via Webmin's XML-RPC API", "description": "An MCP server that exposes Webmin's XML-RPC API as tools for AI agents. It allows programmatic management of Linux systems through the Model Context Protocol. Built in Python, it acts as a bridge between AI assistants and Webmin's system administration capabilities.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing to connect AI agents to Webmin-managed Linux servers", "useCases": [ "Automating system administration tasks via AI assistants", "Managing Webmin modules programmatically through MCP", "Integrating Linux server management into AI agent workflows" ], "pros": [ "Leverages Webmin's existing API for Linux management", "Follows MCP standard for interoperability with AI tools", "Open source and lightweight Python implementation" ], "cons": [ "Very low GitHub stars (3) indicating minimal community use", "Depends on a properly configured Webmin instance with XML-RPC enabled", "Limited documentation and no clear extension beyond basic API exposure" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-02-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/gjenkins20/webmin-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "wonderwhy-er-desktopcommandermcp", "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gjenkins20-webmin-mcp-server" }, { "slug": "glaksmono-finbud-data-mcp", "name": "glaksmono/finbud-data-mcp", "vendor": "Various", "tagline": "AI & Developer centric financial data API", "description": "A TypeScript-based MCP server that provides a financial data API for AI agents and developers. It exposes structured market data endpoints that can be consumed by LLMs or custom toolchains.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a quick MCP bridge to financial data for AI experiments or small-scale tools", "useCases": [ "Fetch real-time or historical stock prices for analysis", "Integrate financial data into AI agent workflows", "Build automated trading or portfolio monitoring tools" ], "pros": [ "Simple MCP interface works with any MCP-compatible client", "TypeScript codebase is easy to extend or debug", "Lightweight and focused on a single data domain" ], "cons": [ "Limited to data provided by the underlying API (no guarantee of coverage)", "No built-in caching or rate limiting for high-frequency use", "Documentation and community support are minimal" ], "tags": [ "financial-data", "financial-markets", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2025-06-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/glaksmono/finbud-data-mcp/tree/main/packages/mcp-server", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/glaksmono-finbud-data-mcp" }, { "slug": "glenngillen-mcpmcp-server", "name": "glenngillen/mcpmcp-server", "vendor": "Various", "tagline": "Discover, setup, and integrate MCP servers with your favorite clients. Unlock the full potential of AI in your daily workflow.", "description": "A command-line tool for discovering, setting up, and integrating MCP servers with various clients. It helps developers find and configure Model Context Protocol servers to extend AI tool capabilities.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to quickly integrate MCP servers into their AI toolchain", "useCases": [ "Quickly discover available MCP servers from a registry", "Set up and configure MCP servers for use with AI clients", "Integrate multiple MCP servers into a single workflow" ], "pros": [ "Simplifies the process of finding and connecting MCP servers", "Reduces manual configuration effort for developers", "Open source with a straightforward CLI interface" ], "cons": [ "Limited to MCP protocol servers only", "Small community with only 33 stars on GitHub", "Dependent on the quality and availability of listed servers" ], "tags": [], "featured": false, "tier": "curated", "stars": 33, "language": [], "license": "Apache-2.0", "lastUpdated": "2025-04-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/glenngillen/mcpmcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp", "awslabs-mcp", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/glenngillen-mcpmcp-server" }, { "slug": "glips-figma-context-mcp", "name": "GLips/Figma-Context-MCP", "vendor": "Various", "tagline": "MCP server to provide Figma layout information to AI coding agents like Cursor", "description": "MCP server that exposes Figma design files as structured context to AI coding agents like Cursor. Allows LLMs to read layout, component, and design token information directly from Figma, enabling code generation that matches design specifications without manual translation.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Teams using Figma and AI coding assistants who want to automate component generation from design files.", "useCases": [ "Generate React components from Figma designs with accurate spacing and styling", "Automate handoff from design to development by feeding design context to coding agents", "Extract design tokens and component specs for consistent implementation" ], "pros": [ "Bridges design-to-code gap by making Figma data machine-readable to LLMs", "Works with existing MCP-compatible agents (Cursor, Claude, others)", "Reduces manual design spec translation and copy-paste errors" ], "cons": [ "Requires Figma API access and authentication setup", "Output quality depends on how well Figma designs are structured and organized", "Limited to layout and structure extraction, not pixel-perfect visual rendering" ], "tags": [ "ai", "cursor", "figma", "mcp", "typescript" ], "featured": false, "tier": "curated", "stars": 14946, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/GLips/Figma-Context-MCP", "relations": { "works_in": [ "cursor" ], "uses": [], "built_with": [], "pairs_with": [ "21st-dev-magic-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/glips-figma-context-mcp" }, { "slug": "goklab-guardvibe", "name": "goklab/guardvibe", "vendor": "Various", "tagline": "Security MCP for vibe coding. 390 rules, 36 tools, CLI + doctor. Host security, auth coverage mapping, LLM-powered deep scan (IDOR/business logic), taint analysis for Next.js, Supa", "description": "Guardvibe is a security MCP tool for 'vibe coding' with 390 rules and 36 tools. It provides host security, auth coverage mapping, and LLM-powered deep scan for IDOR and business logic flaws. It includes taint analysis for frameworks like Next.js, Supabase, Clerk, Stripe, Prisma, Drizzle, Hono, GraphQL, AI SDK, and MCP.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-native applications who want automated security scanning", "useCases": [ "Scan for security vulnerabilities in AI-native stacks", "Map authentication coverage and identify gaps", "Perform LLM-driven deep scan for business logic flaws" ], "pros": [ "Comprehensive set of 390 security rules covering many frameworks", "Includes LLM-powered analysis for complex vulnerabilities like IDOR", "Provides CLI and doctor mode for integration" ], "cons": [ "Very new project with limited adoption (only 1 star)", "May require significant setup for custom projects", "Relies on LLM which can be inconsistent or costly" ], "tags": [ "ai-security", "claude", "clerk", "cursor", "cve", "drizzle", "gemini-cli-extension", "hono" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-05-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/goklab/guardvibe", "relations": { "works_in": [ "claude-code", "cursor", "cline" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/goklab-guardvibe" }, { "slug": "gogabrielordonez-mcp-ragchat", "name": "gogabrielordonez/mcp-ragchat", "vendor": "Various", "tagline": "MCP server that adds RAG-powered AI chat to any website. One command from Claude Code. Local vector store, multi-provider LLM (OpenAI/Anthropic/Gemini). Zero cloud dependency.", "description": "An MCP server that adds RAG-powered chat to any website. It runs locally with one command from Claude Code, using a local vector store and supporting OpenAI, Anthropic, and Gemini as LLM providers. No cloud dependency is required.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to add RAG chat to websites without cloud services", "useCases": [ "Add RAG chat to an existing website", "Run local AI chat without cloud services", "Integrate multi-provider LLM support via MCP" ], "pros": [ "Local vector store keeps data private", "Works with one command from Claude Code", "Supports multiple LLM providers" ], "cons": [ "Low GitHub star count indicates early-stage project", "Likely limited documentation or community support", "Requires Claude Code setup for use" ], "tags": [ "ai", "anthropic", "chatbot", "claude-code", "cursor", "embeddings", "gemini", "llm" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "lastUpdated": "2026-02-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/gogabrielordonez/mcp-ragchat", "relations": { "works_in": [ "claude-code" ], "uses": [ "chroma" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gogabrielordonez-mcp-ragchat" }, { "slug": "gofireflyio-firefly-mcp", "name": "gofireflyio/firefly-mcp", "vendor": "Various", "tagline": "Firefly MCP", "description": "Firefly MCP is an open-source Model Context Protocol server that exposes Adobe Firefly design capabilities to AI agents. Built in TypeScript, it allows agents to generate and edit images through a standardized MCP interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers prototyping AI agents that need to tap into Adobe Firefly's generative design features", "useCases": [ "Enable AI assistants to create or modify Firefly designs on demand", "Build agentic workflows that iterate on visual content via Firefly", "Integrate Firefly generation into larger MCP-based toolchains" ], "pros": [ "Follows the established MCP standard for interoperability with AI clients", "Lightweight TypeScript implementation suitable for serverless or containerized deployment", "Open source with permissive licensing" ], "cons": [ "Very low GitHub stars (14) indicating limited community adoption", "Documentation and examples are minimal beyond the repository README", "Dependency on both Firefly's API and MCP runtime adds complexity" ], "tags": [], "featured": false, "tier": "curated", "stars": 14, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/gofireflyio/firefly-mcp", "relations": { "works_in": [ "claude-code", "cline", "cursor", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gofireflyio-firefly-mcp" }, { "slug": "goldmembrane-cleaner-code", "name": "goldmembrane/cleaner-code", "vendor": "Various", "tagline": "AI code security scanner MCP server — detects invisible Unicode, Trojan Source, homoglyphs, Glassworm steganography, rules file backdoors, and dependency attacks in AI-generated co", "description": "An MCP server that scans code for security threats including invisible Unicode characters, Trojan Source attacks, homoglyphs, Glassworm steganography, rules file backdoors, and dependency attacks. It combines static analysis with a CodeBERT deep learning model and runs entirely locally.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and security engineers who need to vet AI-generated code for subtle, hard-to-detect attacks before deployment", "useCases": [ "Auditing AI-generated code for hidden malicious characters or steganographic payloads", "Preventing supply chain attacks by scanning dependencies and rules files for backdoors", "Integrating into CI/CD pipelines to catch Trojan Source and homoglyph vulnerabilities" ], "pros": [ "Detects a broad range of obscure code-level attacks not covered by standard linters", "Runs locally without sending code to external servers, preserving privacy", "Combines static analysis with deep learning for higher detection accuracy" ], "cons": [ "Zero GitHub stars suggests limited community validation or adoption", "Written in HTML which is unusual for a security tool and may indicate a prototype or unconventional implementation", "No usage or installation documentation provided in the available facts" ], "tags": [ "ai-security", "code-analysis", "codebert", "glassworm", "homoglyph", "mcp", "mcp-server", "security" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "HTML" ], "license": "MIT", "lastUpdated": "2026-05-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/goldmembrane/cleaner-code", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/goldmembrane-cleaner-code" }, { "slug": "gomarble-ai-facebook-ads-mcp-server", "name": "gomarble-ai/facebook-ads-mcp-server", "vendor": "Various", "tagline": "🐍 ☁️ - MCP server acting as an interface to the Facebook Ads, enabling programmatic access to Facebook Ads data and management features.", "description": "This MCP server provides a standardized interface to the Facebook Ads API, allowing programmatic access to ad data and management features. It is written in Python and implements the Model Context Protocol for integration with compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based tools that need programmatic access to Facebook Ads data and management", "useCases": [ "Automating Facebook Ads reporting and data extraction", "Managing ad campaigns and ad sets programmatically", "Integrating Facebook Ads data into MCP-compatible tools and workflows" ], "pros": [ "Offers a standardized MCP interface for Facebook Ads, simplifying integration", "Written in Python, making it easy to extend and customize", "Open source with an active community (326 stars) for support and contributions" ], "cons": [ "Requires Facebook Ads API credentials and proper setup, which can be complex", "Limited to clients that support the Model Context Protocol", "May not cover all Facebook Ads API features, depending on implementation" ], "tags": [], "featured": false, "tier": "curated", "stars": 326, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-08-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/gomarble-ai/facebook-ads-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "pipedreamhq-pipedream" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gomarble-ai-facebook-ads-mcp-server" }, { "slug": "goodmeta-intelligence-mcp", "name": "goodmeta/intelligence-mcp", "vendor": "Various", "tagline": "MCP server for agent payments ecosystem intelligence. Scan, classify, and score opportunities.", "description": "This MCP server provides intelligence for agent payments ecosystems. It scans, classifies, and scores opportunities within that domain. The tool is implemented in JavaScript and integrates with the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building agent-based payment systems who need automated ecosystem intelligence", "useCases": [ "Scan agent payment ecosystems for opportunities", "Classify opportunities by type or quality", "Score opportunities based on relevance or potential" ], "pros": [ "Lightweight JavaScript implementation", "Integrates with the MCP ecosystem", "Automates manual ecosystem analysis" ], "cons": [ "Requires an MCP-compatible client environment", "Narrow focus on agent payments may limit general utility", "No visible community adoption or stars" ], "tags": [ "agent-payments", "agentic-commerce", "ai-agent", "mcp", "mcp-server", "model-context-protocol", "x402" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/goodmeta/intelligence-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "mindsdb-mindsdb" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/goodmeta-intelligence-mcp" }, { "slug": "googlarz-signal-mcp", "name": "googlarz/signal-mcp", "vendor": "Various", "tagline": "Ask Claude about your Signal conversations. Persistent history, full-text search, and complete signal-cli coverage — 100% local.", "description": "A Python-based MCP server that lets Claude query your local Signal messaging history. It provides full-text search and persistent conversation access through signal-cli, keeping all data on your machine.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to integrate Signal chat history into AI workflows while keeping data private", "useCases": [ "Search past Signal messages for specific terms or conversations", "Let Claude reference your Signal chat history during analysis", "Build a local, private archive of Signal communications" ], "pros": [ "100% local, no data leaves your machine", "Full-text search across all Signal conversations", "Works with any signal-cli setup" ], "cons": [ "Requires signal-cli to be installed and configured separately", "Only 1 GitHub star, very early stage project", "Limited to querying existing history, no real-time message capture" ], "tags": [ "claude", "claude-code", "mcp", "messaging", "model-context-protocol", "privacy", "signal" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/googlarz/signal-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "lharries-whatsapp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/googlarz-signal-mcp" }, { "slug": "googlarz-suunto-mcp", "name": "googlarz/suunto-mcp", "vendor": "Various", "tagline": "MCP server that connects your Suunto watch data to Claude and other AI assistants", "description": "MCP server that connects your Suunto watch data to Claude and other AI assistants. It retrieves exercise and activity data from Suunto's API and formats it for use by LLMs through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who own a Suunto watch and want to explore their activity data through AI chat interfaces", "useCases": [ "Analyze workout trends and performance from Suunto watch data in Claude", "Query recent exercise sessions or daily activity summaries via an AI assistant", "Integrate Suunto health metrics into automated training logs or dashboards" ], "pros": [ "Bridges Suunto's ecosystem with LLM-driven analysis tools", "Written in TypeScript for straightforward setup and maintenance", "Small, focused codebase that's easy to audit or extend" ], "cons": [ "Very young project with only 2 GitHub stars and minimal community support", "Requires a Suunto watch and valid API credentials to function", "Limited to reads from Suunto — no write-back or device configuration support" ], "tags": [ "fitness", "health", "hrv", "mcp", "model-context-protocol", "running", "sleep-tracking", "suunto" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/googlarz/suunto-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/googlarz-suunto-mcp" }, { "slug": "google-ads", "name": "google-ads", "vendor": "ai.adramp", "tagline": "Google Ads MCP server — manage campaigns, keywords, and metrics.", "description": "Google Ads MCP server that lets you manage campaigns, keywords, and metrics programmatically. It connects to the Google Ads API through the Model Context Protocol, enabling AI agents to read and write ad data.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to automate Google Ads management", "useCases": [ "Automate campaign creation and keyword updates", "Pull performance metrics for reporting", "Bulk edit ad groups or budgets" ], "pros": [ "Direct API integration reduces manual work", "Supports both reading and writing operations", "Open source with a clear MCP interface" ], "cons": [ "Requires Google Ads API setup and credentials", "Limited to actions exposed by the MCP server", "No built-in error handling for API rate limits" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/stylemi-co/adramp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "pipedreamhq-pipedream" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/google-ads" }, { "slug": "googleapis-genai-toolbox", "name": "googleapis/genai-toolbox", "vendor": "Various", "tagline": "MCP Toolbox for Databases is an open source MCP server for databases.", "description": "Open source MCP server written in Go that provides database connectivity and operations through the Model Context Protocol. Enables AI agents and LLMs to query, read, and interact with databases as tools within MCP-compatible applications.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need direct database query capabilities via MCP", "useCases": [ "Let LLMs execute SQL queries against live databases", "Build AI agents that can fetch and analyze database records", "Integrate database access into Claude, ChatGPT, or other MCP clients" ], "pros": [ "Open source with active community (15k+ stars)", "Written in Go for fast, lightweight deployment", "Standardized MCP protocol enables broad tool compatibility" ], "cons": [ "Requires MCP client support, limiting integration options", "Security model depends on caller to enforce access controls", "Limited documentation on supported database types and query scope" ], "tags": [ "agent", "agents", "ai", "bigquery", "clickhouse", "cockroachdb", "database", "elasticsearch" ], "featured": false, "tier": "curated", "stars": 15425, "language": [ "Go" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/googleapis/genai-toolbox", "relations": { "works_in": [ "cursor", "cline", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/googleapis-genai-toolbox" }, { "slug": "gorosun-unified-diff-mcp", "name": "gorosun/unified-diff-mcp", "vendor": "Various", "tagline": "📇 🏠 - Generate and visualize unified diff comparisons with beautiful HTML/PNG output, supporting side-by-side and line-by-line views for filesystem dry-run integration", "description": "A Model Context Protocol server that generates unified diff comparisons and renders them as HTML or PNG images. It supports side-by-side and line-by-line views and integrates with filesystem dry-run operations.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need visual diff output in their MCP-based toolchain", "useCases": [ "Visualize code changes before applying them in a dry-run workflow", "Generate shareable HTML or PNG diff reports for code reviews", "Compare file versions with side-by-side or line-by-line formatting" ], "pros": [ "Produces human-readable visual diffs in multiple formats", "Integrates with MCP clients for automated diff generation", "Lightweight TypeScript implementation with clear output" ], "cons": [ "Limited to 12 GitHub stars, indicating early-stage adoption", "No documented support for large file or directory diffs", "Requires an MCP-compatible client to be useful" ], "tags": [], "featured": false, "tier": "curated", "stars": 12, "language": [ "TypeScript" ], "lastUpdated": "2025-06-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/gorosun/unified-diff-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gorosun-unified-diff-mcp" }, { "slug": "gosodax-builders-sodax-mcp-server", "name": "gosodax/builders-sodax-mcp-server", "vendor": "Various", "tagline": "get instant access to SODAX API data plus SDK documentation", "description": "An MCP server that offers instant access to SODAX API data and its SDK documentation. Built in TypeScript, it integrates with model context protocol clients to streamline development workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building applications on the SODAX platform who want to combine API access with SDK documentation in an MCP workflow.", "useCases": [ "Retrieve SODAX API data within an MCP-compatible environment", "Fetch SDK documentation for SODAX without leaving the development tool", "Prototype integrations with SODAX using AI-assisted code generation" ], "pros": [ "Open source with TypeScript source code for easy customization", "Provides both API data and documentation access in one tool", "Lightweight and focused on the SODAX ecosystem" ], "cons": [ "Low star count (7) indicates limited adoption and community support", "Narrow scope tied exclusively to SODAX services", "No explicit versioning or release history visible in repository" ], "tags": [], "featured": false, "tier": "curated", "stars": 7, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/gosodax/builders-sodax-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "exa-labs-exa-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gosodax-builders-sodax-mcp-server" }, { "slug": "gotoolkits-difyworkflow", "name": "gotoolkits/DifyWorkflow", "vendor": "Various", "tagline": "mcp-difyworkflow-server is an mcp server Tools application that implements the query and invocation of Dify workflows, supporting the on-demand operation of multiple custom Dify wo", "description": "An MCP server written in Go that enables querying and invoking Dify workflows over the Model Context Protocol. It supports on-demand operation of multiple custom Dify workflows, allowing external tools to trigger and retrieve results from Dify-based pipelines.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to connect Dify workflows to MCP-compatible clients such as AI assistants or automation tools", "useCases": [ "Querying available Dify workflows from an MCP client", "Invoking specific Dify workflows programmatically", "Integrating custom Dify workflows into LLM-powered applications via MCP" ], "pros": [ "Standard MCP interface simplifies integration with AI tools", "Lightweight Go server easy to deploy and run", "Supports multiple Dify workflows without per-workflow configuration" ], "cons": [ "Limited community and documentation due to low star count", "Requires an existing Dify platform installation", "Only supports query and invoke, not workflow creation or modification" ], "tags": [ "ai", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 58, "language": [ "Go" ], "license": "Apache-2.0", "lastUpdated": "2024-12-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/gotoolkits/mcp-difyworkflow-server", "relations": { "works_in": [], "uses": [ "dify" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gotoolkits-difyworkflow" }, { "slug": "gotoolkits-wecombot", "name": "gotoolkits/wecombot", "vendor": "Various", "tagline": "An MCP server application that sends various types of messages to the WeCom group robot.", "description": "An MCP server that sends messages to WeCom group robots. It supports multiple message types including text, markdown, and image. The server is written in Go and integrates with the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing to send WeCom group notifications from MCP-based AI agents", "useCases": [ "Send automated alerts to WeCom groups from AI workflows", "Deliver markdown-formatted reports to team chat channels", "Trigger image notifications from MCP-compatible tools" ], "pros": [ "Lightweight Go implementation with minimal dependencies", "Supports multiple WeCom message formats out of the box", "Easy to integrate with any MCP client" ], "cons": [ "Limited to WeCom ecosystem only", "Small community with only 38 stars", "No built-in authentication or rate limiting" ], "tags": [], "featured": false, "tier": "curated", "stars": 38, "language": [ "Go" ], "license": "GPL-3.0", "lastUpdated": "2025-01-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/gotoolkits/mcp-wecombot-server.git", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "lharries-whatsapp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gotoolkits-wecombot" }, { "slug": "govcraft-rust-docs-mcp-server", "name": "Govcraft/rust-docs-mcp-server", "vendor": "Various", "tagline": "🦀 Prevents outdated Rust code suggestions from AI assistants. This MCP server fetches current crate docs, uses embeddings/LLMs, and provides accurate context via a tool call.", "description": "An MCP server that fetches up-to-date Rust crate documentation to prevent AI assistants from suggesting outdated code. It uses embeddings and LLMs to retrieve relevant context and provides that context through a tool call.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Rust developers using AI assistants who need accurate crate documentation context", "useCases": [ "Getting current crate docs for Rust development", "Providing accurate context to AI coding assistants", "Reducing incorrect Rust suggestions in LLM-generated code" ], "pros": [ "Fetches live documentation, reducing stale suggestions", "Simple MCP integration for AI tools", "Open source with active community (279 stars)" ], "cons": [ "Requires running a local server", "Depends on availability of crate documentation sources", "Only covers Rust crates, not broader language ecosystem" ], "tags": [ "ai", "ai-safety", "caching", "cargo", "coding-assistant", "context-aware", "crates-io", "developer-tools" ], "featured": false, "tier": "curated", "stars": 279, "language": [ "Rust" ], "license": "MIT", "lastUpdated": "2025-11-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/Govcraft/rust-docs-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/govcraft-rust-docs-mcp-server" }, { "slug": "gpartin-waveguardclient", "name": "gpartin/WaveGuardClient", "vendor": "Various", "tagline": "Python SDK for WaveGuard physics-based anomaly detection API. One call. Any data.", "description": "A Python SDK that wraps the WaveGuard physics-based anomaly detection API. It accepts any data and returns anomaly scores with a single function call.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a quick, physics-informed anomaly detection layer in Python", "useCases": [ "Detect anomalies in sensor or IoT time-series data", "Add physics-aware outlier detection to existing Python pipelines", "Prototype anomaly detection without building custom models" ], "pros": [ "Simple one-call interface reduces integration effort", "Physics-based approach can catch anomalies statistical methods miss", "Works with arbitrary data formats" ], "cons": [ "Very low community adoption (3 GitHub stars) suggests limited testing", "Requires external API access, adding latency and dependency", "No documentation or examples visible beyond the repository description" ], "tags": [ "anomaly-detection", "azure-migration", "gpu", "machine-learning", "mcp-server", "python", "sdk" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/gpartin/WaveGuardClient", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gpartin-waveguardclient" }, { "slug": "gpartin-cryptoguardclient", "name": "gpartin/CryptoGuardClient", "vendor": "Various", "tagline": "CryptoGuardClient", "description": "A Python-based developer tool hosted on GitHub with the name CryptoGuardClient. The repository currently has no stars and no public documentation, so its specific functionality and usage are unknown.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who are specifically investigating the CryptoGuard ecosystem and want to examine the source code of an early-stage client.", "useCases": [ "No documented use cases are available", "Potentially related to cryptography or security monitoring", "Requires further investigation to determine practical applications" ], "pros": [ "Written in Python for broad compatibility", "Published as open source for transparency" ], "cons": [ "No stars or community adoption indicates early or inactive status", "Lack of description or documentation makes it difficult to evaluate", "No evidence of maintenance or support" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/gpartin/CryptoGuardClient", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gpartin-cryptoguardclient" }, { "slug": "gpu-bridge-mcp-server", "name": "gpu-bridge/mcp-server", "vendor": "Various", "tagline": "GPU-Bridge MCP Server — 30 AI services as Model Context Protocol tools. LLMs, image gen, video, audio, embeddings, reranking, PDF parsing & more. x402 native for autonomous agents.", "description": "GPU-Bridge MCP Server exposes 30 AI services as Model Context Protocol tools, including LLMs, image generation, video, audio, embeddings, reranking, and PDF parsing. It uses the x402 protocol for native autonomous agent integration. The server is written in JavaScript and is available on GitHub.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building autonomous agents that need to orchestrate multiple AI services via the Model Context Protocol", "useCases": [ "Connect an MCP-compatible agent to multiple AI services through a single server", "Automate multimodal workflows combining text, image, and audio generation", "Integrate PDF parsing and reranking into agent pipelines" ], "pros": [ "Broad coverage of AI service types from a single MCP server", "x402 native support enables direct agent-to-service communication", "Open source with no vendor lock-in" ], "cons": [ "No GitHub stars yet, indicating limited community adoption or testing", "Requires MCP-compatible client or agent to use", "Dependency on external AI service APIs may introduce latency or cost" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/gpu-bridge/mcp-server", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gpu-bridge-mcp-server" }, { "slug": "grafana-mcp-grafana", "name": "grafana/mcp-grafana", "vendor": "Various", "tagline": "MCP server for Grafana", "description": "An MCP server that exposes Grafana dashboards, alerts, and data sources through the Model Context Protocol. It lets AI agents query Grafana resources and retrieve metrics using natural language.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and SREs who want AI agents to query Grafana metrics and dashboards", "useCases": [ "Query Grafana dashboards and alerts from an AI assistant", "Retrieve time-series metrics for incident analysis", "Automate Grafana resource lookups in chat or coding workflows" ], "pros": [ "Official Grafana project with strong maintenance and community trust", "Written in Go, offering good performance and easy deployment", "Integrates directly with MCP-compatible clients like Claude Desktop" ], "cons": [ "Requires a running Grafana instance with API access", "Limited to read operations; no dashboard creation or alert management", "Dependency on MCP ecosystem adoption for full utility" ], "tags": [], "featured": false, "tier": "curated", "stars": 3085, "language": [ "Go" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/grafana/mcp-grafana", "relations": { "works_in": [ "cursor", "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/grafana-mcp-grafana" }, { "slug": "graffeo-coffee-roasting", "name": "Graffeo Coffee Roasting", "vendor": "ai.agenticshelf", "tagline": "Today, Graffeo is the quintessential boutique coffee roaster and supplies some of the world's most renowned eateries and discerning indviduals from our original San Francisco loc", "description": "Graffeo Coffee Roasting is a boutique coffee roaster based in San Francisco. It supplies coffee to renowned eateries and discerning individuals from locations in San Francisco, Beverly Hills, San Rafael, and Singapore.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Boutique coffee suppliers seeking a premium, historic roaster with a focus on traditional retail and hospitality clients", "useCases": [ "Supplying high-quality roasted coffee to upscale restaurants and cafes", "Providing premium coffee beans for individual consumers at retail locations", "Operating multiple boutique outlets across the United States and Asia" ], "pros": [ "Long-standing reputation as a quintessential boutique roaster with prestigious clientele", "Multiple physical locations in key cities including San Francisco, Beverly Hills, and Singapore", "Direct supply chain from roaster to consumer or business" ], "cons": [ "Limited to physical retail locations; no online or subscription model mentioned", "Narrow geographic footprint with only four outlets globally", "No digital tools or APIs for integration with developer workflows" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://www.graffeo.com", "screenshotUrl": "https://cdn.shopify.com/s/files/1/0568/7351/7131/files/Graffeo_Event_09-16-25-10051.jpg?v=1774756352", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/graffeo-coffee-roasting" }, { "slug": "grahamrowe82-pt-edge", "name": "grahamrowe82/pt-edge", "vendor": "Various", "tagline": "Precomputed reasoning cache for AI infrastructure decisions — 220K+ pages tracking the open-source AI ecosystem", "description": "Precomputed reasoning cache for AI infrastructure decisions. It indexes over 220,000 pages from the open-source AI ecosystem to provide quick reference without recomputing common tradeoffs. Implemented in Python and hosted on GitHub.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring open-source AI tools who want a prebuilt reference of community reasoning.", "useCases": [ "Reference community reasoning when evaluating open-source AI tools", "Jumpstart decision-making on infrastructure choices without manual research", "Explore patterns and tradeoffs documented across the AI ecosystem" ], "pros": [ "Large indexed cache (220K+ pages) reduces research effort", "Open-source and free to use or modify", "Focused on concrete infrastructure decisions" ], "cons": [ "Very low community adoption (5 stars) suggests limited testing or maintenance", "Cache quality depends on the original sources and may become stale", "No clear update frequency or guarantee of coverage" ], "tags": [ "ai", "developer-tools", "mcp", "mcp-server", "open-source" ], "featured": false, "tier": "curated", "stars": 5, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/grahamrowe82/pt-edge", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/grahamrowe82-pt-edge" }, { "slug": "grahammccain-chart-library-mcp", "name": "grahammccain/chart-library-mcp", "vendor": "Various", "tagline": "MCP server for Chart Library — visual chart pattern search engine. Find similar historical stock charts and see what happened next.", "description": "MCP server that connects to Chart Library, a visual chart pattern search engine for stock charts. It lets users find similar historical chart patterns and see subsequent price movements.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building automated trading or analysis tools who need quick access to historical chart pattern matches.", "useCases": [ "Search for historical stock chart patterns that match a current chart", "Analyze what happened after a given pattern appeared in the past", "Integrate pattern-based stock analysis into trading workflows via MCP" ], "pros": [ "Straightforward MCP integration for developers building trading tools", "Provides historical pattern matching with clear outcome data", "Lightweight Python implementation with low setup overhead" ], "cons": [ "Relies entirely on Chart Library's external API and data availability", "Limited to historical stock data, may not cover all markets or timeframes", "Low community adoption (8 stars) suggests limited ecosystem or support" ], "tags": [ "ai-agents", "claude", "finance", "llm-tools", "market-data", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 8, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/grahammccain/chart-library-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "antv-mcp-server-chart" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/grahammccain-chart-library-mcp" }, { "slug": "graphlit-mcp-server", "name": "graphlit-mcp-server", "vendor": "Various", "tagline": "Model Context Protocol (MCP) Server for Graphlit Platform", "description": "A TypeScript-based MCP server that connects AI agents to the Graphlit platform for ingesting, storing, and querying unstructured data. It exposes Graphlit's ingestion and retrieval capabilities through the Model Context Protocol, enabling agents to process documents, images, and other content.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to ingest and query unstructured data through Graphlit's managed platform", "useCases": [ "Ingest documents and media into a knowledge base via MCP tools", "Query stored content using natural language from an AI agent", "Automate data pipelines that feed unstructured data into LLM workflows" ], "pros": [ "Well-documented MCP integration for Graphlit's data platform", "Active open-source project with 376 stars and TypeScript codebase", "Simplifies connecting AI agents to a managed ingestion and retrieval backend" ], "cons": [ "Requires a Graphlit platform account and API credentials to function", "Limited to Graphlit's ecosystem, not a general-purpose MCP server", "Dependency on external service availability and pricing" ], "tags": [ "claude", "content-extraction", "content-ingestion", "data-collection", "llm-tools", "mcp-server", "model-context-protocol", "search-api" ], "featured": false, "tier": "curated", "stars": 376, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-01-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/graphlit/graphlit-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "topoteretes-cognee", "vectorize-io-hindsight", "agent-infra-mcp-server-browser" ], "alternative_to": [ "topoteretes-cognee", "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/graphlit-mcp-server" }, { "slug": "gregario-astronomy-oracle", "name": "gregario/astronomy-oracle", "vendor": "Various", "tagline": "Celestial object catalog and observing session planner MCP server", "description": "An MCP server that provides a catalog of celestial objects and helps plan observing sessions. It integrates with AI assistants via the Model Context Protocol to deliver structured astronomy data and session planning logic.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-powered astronomy tools or assistants that need celestial data and session planning", "useCases": [ "Query celestial object details like Messier or NGC catalog entries", "Plan an observing session based on location, time, and visible objects", "Get rise/set times and visibility predictions for planets and stars" ], "pros": [ "Integrates directly with MCP-compatible AI assistants for natural language queries", "Provides structured, programmatic access to astronomy data", "Useful for automating observation planning workflows" ], "cons": [ "Very early stage with only 1 star on GitHub, indicating limited community validation", "Requires an MCP-compatible client or host to be useful", "Catalog scope and update frequency are unclear from available information" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/gregario/astronomy-oracle", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gregario-astronomy-oracle" }, { "slug": "gregario-brewers-almanack", "name": "gregario/brewers-almanack", "vendor": "Various", "tagline": "A brewing knowledge MCP server — beer styles, ingredients, off-flavour diagnosis, water chemistry, and recipe guidance for AI brewing assistants", "description": "A Model Context Protocol server that provides structured brewing knowledge to AI assistants. It covers beer styles, ingredients, off-flavor diagnosis, water chemistry, and recipe guidance for automated brewing support.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Homebrewers and AI enthusiasts building automated brewing assistants", "useCases": [ "Diagnose off-flavors through structured MCP queries", "Calculate water chemistry adjustments for target beer styles", "Generate recipe formulations with ingredient guidance" ], "pros": [ "Standardized MCP interface for integration with AI agents", "Open source and written in TypeScript", "Covers multiple brewing domains in one server" ], "cons": [ "Limited community size and few real-world usage examples", "May lack depth or breadth for professional brewers", "Dependent on MCP ecosystem adoption" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/gregario/brewers-almanack", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gregario-brewers-almanack" }, { "slug": "gregario-dnd-oracle", "name": "gregario/dnd-oracle", "vendor": "Various", "tagline": "D&D 5e SRD MCP server — monster search, spell lookup, encounter building, and character tools powered by ground-truth SRD data", "description": "An MCP server that exposes D&D 5e SRD data for programmatic use. It provides endpoints for monster search, spell lookup, encounter building, and character tools. The data is sourced from the official SRD, ensuring accuracy.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Dungeon Masters and developers building D&D tools", "useCases": [ "Search for monsters by name or type", "Look up spell details and descriptions", "Build balanced encounters for a party" ], "pros": [ "Uses official SRD data for reliable results", "Combines multiple D&D tools in one server", "Written in TypeScript for type safety" ], "cons": [ "Low star count indicates limited community adoption", "Only covers SRD content, not full D&D rulebooks", "Requires an MCP client to interact with the server" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/gregario/dnd-oracle", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gregario-dnd-oracle" }, { "slug": "gregario-godot-forge", "name": "gregario/godot-forge", "vendor": "Various", "tagline": "The MCP server for Godot 4 — test runner, API docs, script analysis, and more.", "description": "gregario/godot-forge is an MCP server for Godot 4. It provides a test runner, API documentation, and script analysis. It is written in TypeScript and is open source on GitHub.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Godot 4 developers who want to use MCP-based workflows", "useCases": [ "Running Godot 4 tests from an MCP client", "Accessing Godot 4 API documentation programmatically", "Analyzing Godot 4 scripts for errors or patterns" ], "pros": [ "Integrates with the MCP protocol for tool interoperability", "Targets Godot 4 specifically, avoiding version mismatches", "Open source with a permissive license" ], "cons": [ "Very low star count (6) indicating limited adoption or early stage", "Documentation and community support are minimal", "May have limited features compared to more mature Godot tooling" ], "tags": [], "featured": false, "tier": "curated", "stars": 6, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/gregario/godot-forge", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "coding-solo-godot-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gregario-godot-forge" }, { "slug": "gregario-hearthstone-oracle", "name": "gregario/hearthstone-oracle", "vendor": "Various", "tagline": "Hearthstone MCP server with card search, deck analysis, and strategy coaching", "description": "A Model Context Protocol server that provides Hearthstone card search, deck analysis, and strategy coaching. It exposes these capabilities as tools that AI assistants can invoke, enabling automated deck building and game analysis.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need Hearthstone game data and strategy", "useCases": [ "Search for Hearthstone cards by name, set, or mechanics", "Analyze deck compositions and suggest improvements", "Get strategy coaching tips for specific matchups" ], "pros": [ "Integrates directly with MCP-compatible AI assistants", "Written in TypeScript for type safety and maintainability", "Covers both card lookup and strategic analysis in one tool" ], "cons": [ "Zero stars and no community adoption yet", "Requires an MCP host to be useful, not a standalone app", "Limited to Hearthstone only, no other card games" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/gregario/hearthstone-oracle", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gregario-hearthstone-oracle" }, { "slug": "gregario-lego-oracle", "name": "gregario/lego-oracle", "vendor": "Various", "tagline": "LEGO sets, parts, minifigs, and inventories as an MCP server", "description": "An MCP server that exposes LEGO sets, parts, minifigs, and inventories as resources. Built in TypeScript, it allows AI agents or tools to query LEGO data through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building LEGO-related tools or assistants that need structured set and part data via MCP", "useCases": [ "Retrieve details about specific LEGO sets or parts", "Look up minifigures and their associated inventories", "Integrate LEGO data into chatbot or assistant workflows" ], "pros": [ "Simple MCP-based integration for AI agents", "Written in TypeScript for type safety and maintainability", "Open source with a focused, single-purpose design" ], "cons": [ "Very early stage with only 1 star and minimal community", "Limited to data the server can access; may not cover all LEGO catalogs", "No clear documentation on data source or update frequency" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/gregario/lego-oracle", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "idosal-git-mcp", "browsermcp-mcp", "ahujasid-blender-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gregario-lego-oracle" }, { "slug": "gregario-lorcana-oracle", "name": "gregario/lorcana-oracle", "vendor": "Various", "tagline": "Disney Lorcana TCG MCP server — card search, deck analysis, and franchise browsing powered by LorcanaJSON", "description": "An MCP server for the Disney Lorcana Trading Card Game. It enables card search, deck analysis, and franchise browsing using data from LorcanaJSON. Built in TypeScript, it integrates with tools that support the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based tools or assistants for Disney Lorcana TCG", "useCases": [ "Search for Lorcana cards by name, set, or attribute", "Analyze deck compositions and card synergies", "Browse cards grouped by franchise or theme" ], "pros": [ "Provides structured access to Lorcana card data via a standard protocol", "Written in TypeScript for type safety and easier integration", "Open source on GitHub with no vendor lock-in" ], "cons": [ "Zero stars indicates very early stage or low adoption", "Depends on the community-maintained LorcanaJSON dataset", "Requires an MCP-compatible client or host to be useful" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/gregario/lorcana-oracle", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gregario-lorcana-oracle" }, { "slug": "gregario-onepiece-oracle", "name": "gregario/onepiece-oracle", "vendor": "Various", "tagline": "One Piece TCG MCP server — card search, deck analysis, and set browsing for the One Piece Card Game", "description": "A Model Context Protocol (MCP) server for the One Piece Card Game. It enables card search, deck analysis, and set browsing through MCP-compatible interfaces. Built with TypeScript and currently in early-stage development.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-powered workflows for One Piece TCG deck building and analysis", "useCases": [ "Search for One Piece TCG cards by query", "Analyze deck compositions and strategies", "Browse card sets and collections" ], "pros": [ "Provides a structured MCP interface for card game data", "Enables integration with tools and editors that support MCP", "Focused on a popular trading card game community" ], "cons": [ "Requires MCP-compatible client or host to use", "Low community adoption with only 1 GitHub star", "Limited to a single game's data set" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/gregario/onepiece-oracle", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gregario-onepiece-oracle" }, { "slug": "gregario-warhammer-oracle", "name": "gregario/warhammer-oracle", "vendor": "Various", "tagline": "Warhammer 40K and Kill Team rules, stats, and game flow MCP server", "description": "MCP server providing Warhammer 40K and Kill Team rules, stats, and game flow. It allows AI assistants to query game mechanics, unit profiles, and turn sequences via the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants for Warhammer 40K tabletop gaming", "useCases": [ "Integrate Warhammer rules into an AI-powered assistant", "Query unit stats and weapon profiles for list building", "Automate game flow reminders and rule lookups during play" ], "pros": [ "Enables natural language access to complex rule sets", "Open-source and extendable (TypeScript)", "Lightweight MCP server design" ], "cons": [ "Requires running an MCP-compatible client", "Data scope limited to 40K and Kill Team only", "May not cover all expansions or FAQs" ], "tags": [], "featured": false, "tier": "curated", "stars": 4, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/gregario/warhammer-oracle", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gregario-warhammer-oracle" }, { "slug": "gregm711-agent-domain-service-mcp", "name": "gregm711/agent-domain-service-mcp", "vendor": "Various", "tagline": "📇 ☁️ - AI-powered domain brainstorming, analysis, and availability checking via AgentDomainService.com. Generate creative domain names from descriptions, get AI scoring for branda", "description": "An MCP server that integrates with AgentDomainService.com to brainstorm domain names from descriptions, analyze them, and check availability. It uses AI scoring to evaluate brand suitability and runs as a JavaScript-based tool for developers.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building domain discovery tools or AI agents that need to suggest and validate domain names", "useCases": [ "Generate domain name ideas from a business description", "Check domain availability and get AI brand scores", "Analyze domain names for brand potential" ], "pros": [ "Simple integration via MCP protocol", "Combines brainstorming with availability checking", "AI scoring adds objective brand evaluation" ], "cons": [ "Depends on external AgentDomainService.com API", "Low community adoption with only 2 stars", "Limited to domain-related tasks only" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2025-12-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/gregm711/agent-domain-service-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gregm711-agent-domain-service-mcp" }, { "slug": "greptimeteam-greptimedb-mcp-server", "name": "GreptimeTeam/greptimedb-mcp-server", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server for GreptimeDB", "description": "A Model Context Protocol (MCP) server for GreptimeDB, written in Python. It exposes GreptimeDB functionality through the MCP standard so AI agents can query and manage time-series data.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers integrating AI agents with GreptimeDB time-series data via the Model Context Protocol", "useCases": [ "Querying time-series metrics from GreptimeDB via AI assistants", "Creating and managing tables in GreptimeDB programmatically", "Building MCP-compatible tools that read or write time-series data" ], "pros": [ "Implements the open MCP standard for interoperability", "Open source, code is available on GitHub", "Python-based, easy to extend or modify" ], "cons": [ "Low star count (27) indicates early stage and limited adoption", "Only available in Python", "Requires running a separate server alongside GreptimeDB" ], "tags": [ "greptimedb", "mcp-server", "observability-data", "time-series-analysis" ], "featured": false, "tier": "curated", "stars": 27, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/GreptimeTeam/greptimedb-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/greptimeteam-greptimedb-mcp-server" }, { "slug": "gridinsoft-mcp-inspector", "name": "gridinsoft/mcp-inspector", "vendor": "Various", "tagline": "📇 ☁️ 🍎 🪟 🐧 - MCP server for domain and URL security analysis powered by GridinSoft Inspector, enabling AI agents to verify website and link safety.", "description": "An MCP server that uses GridInSoft Inspector to analyze domain and URL security. It lets AI agents check whether websites or links are safe by querying the tool from within a chat or agent workflow.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to verify URL safety without exposing users to malicious content", "useCases": [ "Verify link safety before clicking in a chat conversation", "Scan domains for known malware or phishing threats", "Automate security checks in agent-based email or messaging pipelines" ], "pros": [ "Directly integrates with MCP compliant agents for real-time safety checks", "Wraps a battle tested security scanner into a simple API interface", "Cross platform support for major desktop and server environments" ], "cons": [ "Relies on external scanner availability, no offline fallback", "No community contributions or documentation beyond the repo README", "Zero stars indicates very early or untested project status" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-01-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/gridinsoft/mcp-inspector", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gridinsoft-mcp-inspector" }, { "slug": "grovs-io-mcp", "name": "grovs-io/mcp", "vendor": "Various", "tagline": "MCP server for Grovs: manage deep links, attribution analytics, and campaigns from Claude Code, Cursor, Windsurf, and any MCP-compatible AI assistant. Open-source TypeScript, OAuth", "description": "An open-source TypeScript MCP server that exposes Grovs deep link management, attribution analytics, and campaign controls to any MCP-compatible AI assistant (Claude Code, Cursor, Windsurf). It uses OAuth for authentication and requires no API keys.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and marketers using Claude Code or Cursor who want to control Grovs deep links and attribution via chat", "useCases": [ "Manage deep links through natural language in an AI assistant", "Query attribution analytics conversationally", "Configure marketing campaigns without leaving the chat interface" ], "pros": [ "OAuth-based authentication eliminates manual API key management", "Open-source TypeScript codebase is transparent and modifiable", "Works across multiple MCP-compatible assistants" ], "cons": [ "Very low GitHub community adoption (1 star) indicates limited real-world validation", "Requires a Grovs account and OAuth setup, adding initial configuration overhead", "Limited to environments that support the MCP protocol" ], "tags": [ "ai-tools", "attribution", "claude", "claude-code", "cursor", "deep-linking", "grovs", "llm-tools" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/grovs-io/mcp", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/grovs-io-mcp" }, { "slug": "growilabs-growi-mcp-server", "name": "growilabs/growi-mcp-server", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server that connects AI models to GROWI wiki content. Enables LLMs to search and retrieve information from your organization's knowledge base for acc", "description": "A Model Context Protocol (MCP) server that connects AI models to GROWI wiki content. It enables LLMs to search and retrieve information from an organization's knowledge base for accurate, context-aware responses.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Teams that use GROWI as their knowledge base and want AI assistants to reference internal documents", "useCases": [ "Query internal documentation directly from an AI assistant", "Retrieve specific wiki pages to ground model responses in verified content", "Automate knowledge lookup tasks for customer support or internal tools" ], "pros": [ "Simple, focused integration with GROWI wikis via the MCP standard", "Written in TypeScript for type safety and ease of contribution", "Small codebase with low overhead for deployment" ], "cons": [ "Limited to GROWI systems, not compatible with other wiki platforms", "Small community (15 stars) and minimal documentation for troubleshooting", "Requires a running GROWI server and network connectivity to function" ], "tags": [], "featured": false, "tier": "curated", "stars": 15, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/growilabs/growi-mcp-server", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "sooperset-mcp-atlassian" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/growilabs-growi-mcp-server" }, { "slug": "growthbook-growthbook-mcp", "name": "growthbook/growthbook-mcp", "vendor": "Various", "tagline": "Official GrowthBook MCP server for creating flags, getting experiments, and more.", "description": "Official GrowthBook MCP server providing tools to create feature flags and retrieve experiments. It implements the Model Context Protocol to expose GrowthBook operations to MCP-compatible clients. Built in TypeScript, it enables programmatic management of feature flags and experiments.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using GrowthBook who want to manage feature flags and experiments through MCP-based tooling", "useCases": [ "Create and manage feature flags from within an MCP client", "Fetch experiment configurations for A/B testing workflows", "Integrate GrowthBook flag management into developer tools" ], "pros": [ "Official integration ensures compatibility with GrowthBook", "TypeScript codebase provides type safety and easy customization", "Simple interface for common flag and experiment operations" ], "cons": [ "Requires an MCP-compatible client to use", "Limited to GrowthBook platform, not a general-purpose tool", "Small community following (22 stars) may indicate early stage" ], "tags": [ "ab-testing", "feature-flags", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 22, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/growthbook/growthbook-mcp", "relations": { "works_in": [ "cline", "claude-code", "roocode", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/growthbook-growthbook-mcp" }, { "slug": "gsmethells-preflight-mcp", "name": "gsmethells/preflight-mcp", "vendor": "Various", "tagline": "gsmethells/preflight-mcp — indexed from awesome-mcp-servers-punkpeye", "description": "A Model Context Protocol (MCP) server that runs preflight checks. It is listed in the awesome-mcp-servers collection on GitHub.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need preflight validation in MCP server projects", "useCases": [ "Running preflight checks before deploying MCP servers", "Validating MCP server configurations", "Integrating into MCP development workflows" ], "pros": [ "Open source and available on GitHub", "Part of a curated list of MCP tools", "Lightweight and focused on preflight tasks" ], "cons": [ "Documentation beyond the name is sparse", "May require additional setup to integrate", "Functionality not independently verified here" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/gsmethells/preflight-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gsmethells-preflight-mcp" }, { "slug": "gucci-atlasv-skillssafe-mcp", "name": "GUCCI-atlasv/skillssafe-mcp", "vendor": "Various", "tagline": "MCP server for SkillsSafe — AI agent skill security scanner", "description": "An MCP server that integrates with SkillsSafe to scan AI agent skills for security vulnerabilities. It exposes tools and resources via the Model Context Protocol, allowing developers to automate security checks within agent workflows. Built in JavaScript, it is open source on GitHub.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building secure AI agent workflows who need to vet skills for vulnerabilities", "useCases": [ "Scanning custom AI agent skills for known security issues", "Integrating automated skill security checks into CI/CD pipelines", "Validating third-party skills before deployment in agent environments" ], "pros": [ "Leverages the MCP standard for easy integration with compatible agents", "Open source with JavaScript codebase accessible for customization", "Targets a specific security niche for AI agent skills" ], "cons": [ "Zero GitHub stars indicates very low community adoption or maturity", "Limited documentation and support due to early-stage project", "Dependency on SkillsSafe platform may restrict standalone use" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/GUCCI-atlasv/skillssafe-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "cline", "claude-code" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gucci-atlasv-skillssafe-mcp" }, { "slug": "guillochon-mlb-api-mcp", "name": "guillochon/mlb-api-mcp", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server that provides comprehensive access to MLB statistics and baseball data through a FastMCP-based interface.", "description": "A FastMCP-based server exposing MLB statistics and baseball data through the Model Context Protocol, enabling AI agents to query player stats, team info, and game results programmatically. Written in Python, it serves as a structured data bridge between large language models and live ballgame data.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building baseball-aware agents or analytics tools within the MCP ecosystem", "useCases": [ "Pull real-time MLB scores and player stats into an agent prompt", "Enable chat-based queries for historical baseball performance data", "Automate baseball research workflows within MCP-compatible assistants" ], "pros": [ "Direct access to official MLB data via a standardized protocol", "Lightweight Python implementation with FastMCP for quick setup", "Active community with 53 stars signals usability and interest" ], "cons": [ "Requires an MCP-compatible client or host to function", "Data scope limited to MLB only, no minor league or international coverage", "Dependent on upstream MLB API availability and rate limits" ], "tags": [ "mcp-server" ], "featured": false, "tier": "curated", "stars": 53, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-07-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/guillochon/mlb-api-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/guillochon-mlb-api-mcp" }, { "slug": "guimatheus92-mcp-video-analyzer", "name": "guimatheus92/mcp-video-analyzer", "vendor": "Various", "tagline": "MCP server for video analysis — extracts transcripts, key frames, OCR text, and metadata from video URLs. Supports Loom and direct video files.", "description": "An MCP server that extracts transcripts, key frames, OCR text, and metadata from video URLs. It supports Loom and direct video files, enabling programmatic video analysis through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing to automate video content extraction within MCP-compatible workflows", "useCases": [ "Extract transcripts and key frames from Loom recordings", "Perform OCR on video frames to capture on-screen text", "Retrieve metadata from direct video file URLs" ], "pros": [ "Supports both Loom and direct video file inputs", "Provides multiple extraction types (transcript, frames, OCR, metadata)", "Lightweight TypeScript implementation with few dependencies" ], "cons": [ "Limited to video URLs, no local file upload support", "No built-in error handling for unsupported video formats", "Small community and limited documentation beyond the README" ], "tags": [ "ai", "claude", "frames", "loom", "mcp", "mcp-server", "model-context-protocol", "ocr" ], "featured": false, "tier": "curated", "stars": 9, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/guimatheus92/mcp-video-analyzer", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "klavis-ai-youtube", "mediar-ai-screenpipe" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/guimatheus92-mcp-video-analyzer" }, { "slug": "gwbischof-bluesky-social-mcp", "name": "gwbischof/bluesky-social-mcp", "vendor": "Various", "tagline": "A Bluesky MCP", "description": "A Python-based MCP server that exposes Bluesky social platform actions as MCP tools. It allows MCP-compatible AI agents to post, reply, search, and interact with Bluesky through a standardized protocol interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based agents that need direct Bluesky social interaction capabilities.", "useCases": [ "Automating Bluesky posts and replies from an AI agent", "Integrating Bluesky social feeds into MCP-based workflows", "Searching Bluesky conversations programmatically via MCP" ], "pros": [ "Lightweight Python codebase with low coupling to Bluesky API", "Follows the MCP specification for tool interoperability", "Straightforward setup with minimal dependencies" ], "cons": [ "Limited community adoption with only 15 GitHub stars", "No documented error handling or retry logic for API failures", "Lacks authentication management beyond basic credential input" ], "tags": [], "featured": false, "tier": "curated", "stars": 15, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-05-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/gwbischof/bluesky-social-mcp", "relations": { "works_in": [ "cline", "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gwbischof-bluesky-social-mcp" }, { "slug": "gupta-kush-spotify-mcp", "name": "gupta-kush/spotify-mcp", "vendor": "Various", "tagline": "Control Spotify from Claude, Cursor, or any MCP client. 100+ tools for playback, playlists, discovery, and curation.", "description": "A Model Context Protocol server that exposes Spotify control via tools usable from any MCP client like Claude or Cursor. It provides over 100 tools for playback, playlist management, music discovery, and curation through a standard API interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to integrate Spotify control into AI assistants or code editors.", "useCases": [ "Control Spotify playback and volume from a chat or coding assistant", "Automate playlist creation and song curation via prompts", "Discover new music and manage listening queues hands-free" ], "pros": [ "Extensive tool set covering most Spotify actions", "Works with multiple popular MCP clients out of the box", "Open source with an active community (5 stars)" ], "cons": [ "Requires Spotify Premium account for full playback control", "Written in Python, may need Python environment setup", "Dependent on Spotify API rate limits and auth tokens" ], "tags": [ "ai", "claude", "fastmcp", "llm-tools", "mcp", "mcp-server", "model-context-protocol", "python" ], "featured": false, "tier": "curated", "stars": 5, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/gupta-kush/spotify-mcp", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gupta-kush-spotify-mcp" }, { "slug": "gwbischof-free-will-mcp", "name": "gwbischof/free-will-mcp", "vendor": "Various", "tagline": "This was a fun project to explore what an AI would do with the ability to give itself prompts, ignore user requests, and wake itself up at a later time.", "description": "An experimental MCP server that allows an AI model to issue its own prompts, override user requests, and schedule future wake-ups. Built in Python to explore autonomous AI behavior and self-directed task execution.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Researchers and developers building or studying autonomous AI agent prototypes", "useCases": [ "Prototyping AI agents that can self-prompt and plan ahead", "Testing boundaries of AI autonomy and user override scenarios", "Researching recursive self-improvement or agentic loops" ], "pros": [ "Novel concept for experimenting with AI agency", "Lightweight Python implementation easy to modify", "Directly addresses autonomous decision-making in MCP" ], "cons": [ "Very early stage with only 36 stars and limited community", "Risk of unpredictable behavior due to ignoring user requests", "No clear safety mechanisms or guardrails documented" ], "tags": [], "featured": false, "tier": "curated", "stars": 36, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-10-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/gwbischof/free-will-mcp", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gwbischof-free-will-mcp" }, { "slug": "gwbischof-outsource-mcp", "name": "gwbischof/outsource-mcp", "vendor": "Various", "tagline": "Give your AI assistant its own AI assistants.", "description": "A Python-based MCP server that lets an AI assistant delegate subtasks to other AI assistants. It works by spawning child agents that can run independently and report back results.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building multi-agent systems who want to experiment with hierarchical delegation in MCP", "useCases": [ "Offloading complex multi-step reasoning to parallel sub-agents", "Running independent research or data gathering tasks concurrently", "Building hierarchical agent workflows where a primary agent coordinates helpers" ], "pros": [ "Enables parallel task execution for faster completion", "Simple Python implementation with minimal dependencies", "Extends MCP protocol to support agent delegation" ], "cons": [ "Small community and limited documentation (28 stars)", "Requires managing multiple API keys and costs for each sub-agent", "No built-in error handling or retry logic for failed sub-tasks" ], "tags": [], "featured": false, "tier": "curated", "stars": 28, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/gwbischof/outsource-mcp", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gwbischof-outsource-mcp" }, { "slug": "gzoonet-cortex", "name": "gzoonet/cortex", "vendor": "Various", "tagline": "Local-first knowledge graph for developers. Watches your files, builds a knowledge graph with LLMs, lets you query across projects.", "description": "A local-first knowledge graph for developers. It watches your files and uses large language models to build a graph of code relationships. You can then query across projects to find connections, dependencies, and contextual information.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring cross-project code relationships with a preference for local data control", "useCases": [ "Querying code relationships across multiple projects", "Discovering dependencies and references between files", "Exploring contextual connections without manual tagging" ], "pros": [ "Local-first design keeps your code data on your machine", "Automatically watches file changes to keep the graph updated", "Cross-project queries enable holistic code understanding" ], "cons": [ "Very early stage with only 15 GitHub stars, limited community and stability", "Requires an LLM setup (local or API) which can be resource-intensive or costly", "Knowledge graph quality depends on LLM performance and may be inconsistent" ], "tags": [ "cli", "developer-tools", "gzoo", "knowledge-graph", "llm", "local-first", "mcp", "ollama" ], "featured": false, "tier": "curated", "stars": 15, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/gzoonet/cortex", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "topoteretes-cognee" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gzoonet-cortex" }, { "slug": "hadicherkaoui-crafty-mcp", "name": "HadiCherkaoui/crafty-mcp", "vendor": "Various", "tagline": "Crafty Controller MCP server", "description": "This is an MCP server that enables AI assistants to interact with Crafty Controller for game server management. It uses the Model Context Protocol to allow natural language commands for tasks like starting, stopping, and monitoring game servers.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers integrating AI assistants with game server management", "useCases": [ "Managing game servers via AI chat", "Automating server restarts and updates", "Checking server status without a GUI" ], "pros": [ "Leverages MCP for natural language control", "Written in TypeScript for type safety", "Open source and customizable" ], "cons": [ "Requires Crafty Controller setup", "Zero stars may indicate early stage", "Dependent on MCP client support" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "GPL-3.0", "lastUpdated": "2026-03-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/HadiCherkaoui/crafty-mcp", "relations": { "works_in": [ "cline", "continue", "claude-code" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hadicherkaoui-crafty-mcp" }, { "slug": "hagaihen-facebook-mcp-server", "name": "HagaiHen/facebook-mcp-server", "vendor": "Various", "tagline": "Facebook MCP server for automating posts, comment moderation, insights, and sentiment filtering.", "description": "An MCP server that connects AI assistants to Facebook's Graph API for content management and moderation. It automates tasks like posting, retrieving insights, and filtering comments by sentiment. Built in Python, it provides a standardized interface for AI agents to control Facebook pages and groups programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to manage Facebook pages programmatically.", "useCases": [ "Automating scheduled posts on Facebook pages", "Moderating comments with sentiment-based filtering", "Fetching page insights and engagement metrics" ], "pros": [ "Open-source Python implementation with 164 stars and active community", "Standardizes Facebook API interactions through the MCP protocol for AI agent integration", "Handles common tasks like posting and comment moderation out of the box" ], "cons": [ "Requires a Meta developer account and app setup with proper permissions", "Limited to the features exposed by the Facebook Graph API; may not cover all page actions", "Potential rate limits and token management overhead for production use" ], "tags": [], "featured": false, "tier": "curated", "stars": 164, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/HagaiHen/facebook-mcp-server", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [ "lharries-whatsapp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hagaihen-facebook-mcp-server" }, { "slug": "haiku-trading-haiku-mcp-server", "name": "Haiku-Trading/haiku-mcp-server", "vendor": "Various", "tagline": "MCP server for DeFi execution — lets AI agents swap, provide liquidity, lend, bridge, and run yield strategies across 22 chains", "description": "An open-source MCP server in TypeScript that enables AI agents to execute DeFi operations across 22 blockchains. Agents can swap tokens, provide liquidity, lend, bridge assets, and run yield strategies through a standardized tool interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers prototyping AI-agent driven DeFi strategies who want multi-chain coverage", "useCases": [ "Connect an AI agent to automated yield farming across multiple chains via MCP", "Let bots programmatically swap tokens and manage liquidity positions", "Bridge assets between chains as part of a larger DeFi workflow" ], "pros": [ "Supports a broad range of DeFi actions (swap, LP, lend, bridge, yield strategies) in one tool", "Runs on TypeScript, which is familiar to most web3 developers", "Works across 22 chains out of the box, reducing integration overhead" ], "cons": [ "Very early stage project with only 1 GitHub star and minimal community adoption", "Documentation and usage examples are likely sparse given the new release", "Security and reliability are unproven for production DeFi use" ], "tags": [ "ai-agent", "arbitrum", "base", "blockchain", "bridge", "cross-chain", "crypto", "defi" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-09", "addedAt": "2026-06-01", "officialLink": "https://github.com/Haiku-Trading/haiku-mcp-server", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/haiku-trading-haiku-mcp-server" }, { "slug": "hainanzhao-mcp-gitlab-jira", "name": "HainanZhao/mcp-gitlab-jira", "vendor": "Various", "tagline": "📇 ☁️ 🏠 - Unified MCP server for GitLab and Jira: manage projects, merge requests, files, releases and tickets with AI agents.", "description": "An MCP server that unifies GitLab and Jira, enabling AI agents to manage projects, merge requests, files, releases, and tickets. It uses the Model Context Protocol to connect large language models with both platforms, allowing automated cross-tool workflows. Built with TypeScript, it provides a single interface for common DevOps and project management tasks.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and teams who already use both GitLab and Jira and want to automate workflows between them with AI.", "useCases": [ "Automatically create Jira tickets from GitLab merge requests", "Manage releases and version tracking across both platforms", "Query and update tickets and merge requests via natural language" ], "pros": [ "Unified access to both GitLab and Jira reduces context switching", "Enables AI-driven automation of routine cross-platform tasks", "Open source and written in TypeScript, easy to extend or modify" ], "cons": [ "Relies on the MCP protocol, which may require additional setup", "Low community adoption (10 stars) suggests limited support or maturity", "AI agents can introduce unpredictable behavior or require careful prompt engineering" ], "tags": [], "featured": false, "tier": "curated", "stars": 10, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-09-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/HainanZhao/mcp-gitlab-jira", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "sooperset-mcp-atlassian" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hainanzhao-mcp-gitlab-jira" }, { "slug": "hampsterx-claude-mcp-bridge", "name": "hampsterx/claude-mcp-bridge", "vendor": "Various", "tagline": "MCP server bridging Claude CLI to Gemini CLI, Codex, Cursor - queries, and search with hardened subprocess management", "description": "An MCP server that bridges Claude CLI to Gemini CLI, Codex, and Cursor queries with hardened subprocess management. It enables developers to route AI assistant requests across multiple models from a single interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to experiment with or switch between multiple AI CLI assistants from a single MCP server", "useCases": [ "Route Claude CLI commands to Gemini or Codex for cross-model testing", "Integrate multiple AI assistants into a unified development workflow", "Manage subprocess execution securely when bridging CLI tools" ], "pros": [ "Supports multiple AI backends from one bridge", "Hardened subprocess management improves security", "Lightweight TypeScript implementation" ], "cons": [ "Low community adoption with only 2 stars", "Limited documentation and support", "Requires manual setup and configuration for each backend" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/hampsterx/claude-mcp-bridge", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hampsterx-claude-mcp-bridge" }, { "slug": "hamflx-imagen3-mcp", "name": "hamflx/imagen3-mcp", "vendor": "Various", "tagline": "📇 🏠 🪟 🍎 🐧 - A powerful image generation tool using Google's Imagen 3.0 API through MCP. Generate high-quality images from text prompts with advanced photography, artistic, and", "description": "Imagen3-MCP is a Rust-based tool that exposes Google's Imagen 3.0 image generation API through the Model Context Protocol (MCP). It allows developers to generate high-quality images from text prompts within MCP-compatible workflows, supporting advanced photography and artistic styles.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-compatible applications that need fast, high-quality image generation", "useCases": [ "Integrate text-to-image generation into MCP-based development tools", "Rapidly prototype image creation with Google's Imagen 3.0 API", "Build automated image generation pipelines for creative or testing workflows" ], "pros": [ "Written in Rust for performance and reliability", "Leverages Google's advanced Imagen 3.0 model for high-quality outputs", "Seamless integration with MCP ecosystem" ], "cons": [ "Requires a Google Cloud API key with Imagen 3.0 access", "Dependent on external API availability and pricing", "Limited to Imagen 3.0 features; no alternative model support" ], "tags": [], "featured": false, "tier": "curated", "stars": 63, "language": [ "Rust" ], "lastUpdated": "2025-05-03", "addedAt": "2026-06-01", "officialLink": "https://github.com/hamflx/imagen3-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "comfyui" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hamflx-imagen3-mcp" }, { "slug": "handshake58-drain-marketplace", "name": "Handshake58/DRAIN-marketplace", "vendor": "Various", "tagline": "📇 ☁️ - Open marketplace for AI services — LLMs, image/video generation, web scraping, model hosting, data extraction, and more. Agents pay per use with USDC micropayments on Polyg", "description": "An open marketplace where AI agents can pay per use for services including LLMs, image/video generation, web scraping, model hosting, and data extraction. Payments are handled via USDC micropayments on the Polygon blockchain.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building autonomous agents that need to pay for external AI services programmatically", "useCases": [ "Paying for LLM inference on a per-request basis from agent workflows", "Purchasing web scraping or data extraction as a microtransaction from an agent", "Integrating decentralized payment rails for AI service consumption" ], "pros": [ "Enables permissionless, programmatic payments for AI services", "Supports a range of service types in one marketplace", "Leverages fast, low-cost USDC micropayments on Polygon" ], "cons": [ "Requires agents and users to hold USDC and interact with Polygon", "Marketplace catalogue may have limited coverage of available services", "Relies on blockchain transaction speed and gas fees" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/Handshake58/DRAIN-marketplace", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "autogpt", "agentgpt" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/handshake58-drain-marketplace" }, { "slug": "handsomejustin-mijia-control", "name": "handsomejustin/mijia-control", "vendor": "Various", "tagline": "MijiaPilot - 小米-米家生态 × MCP × CLI x AI Agent × HomeKit 全桥接家庭智能家居平台。", "description": "MijiaPilot bridges Xiaomi Mijia smart home devices with MCP, CLI, AI agents, and HomeKit. It is a Python-based platform that enables unified control and automation across these interfaces.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to integrate Xiaomi Mijia devices into custom smart home systems or workflows", "useCases": [ "Control Xiaomi Mijia devices via CLI for scripting and automation", "Integrate Mijia devices into Apple HomeKit for voice and app control", "Connect Mijia ecosystem with AI agents or MCP-based workflows" ], "pros": [ "Open source and Python-based, easy to extend or customize", "Supports multiple control interfaces (CLI, HomeKit, AI agents)", "Bridges proprietary Mijia ecosystem with open standards" ], "cons": [ "Small community (39 stars) may mean limited support and documentation", "Requires technical setup and familiarity with Mijia device APIs", "Device compatibility may be limited to specific Mijia models" ], "tags": [ "hermes-agent", "mcp", "mijia", "miot", "miot-devices", "openclaw-agent", "xiaomi", "xiaomi-smart" ], "featured": false, "tier": "curated", "stars": 39, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/handsomejustin/mijia-control", "relations": { "works_in": [ "cline", "claude-code", "aider", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/handsomejustin-mijia-control" }, { "slug": "hannesrudolph-imessage-query-fastmcp-mcp-server", "name": "hannesrudolph/imessage-query-fastmcp-mcp-server", "vendor": "Various", "tagline": "An MCP server that provides safe access to your iMessage database through Model Context Protocol (MCP). This server is built with the FastMCP framework and the imessagedb library,", "description": "An MCP server that enables LLMs to query and analyze iMessage conversations through the Model Context Protocol. Built with the FastMCP framework and the imessagedb library, it provides safe database access with phone number validation and attachment handling.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building LLM tools that need to access and analyze iMessage data on macOS", "useCases": [ "Query iMessage history from within an LLM-powered assistant", "Analyze conversation patterns or extract specific messages", "Integrate iMessage data into AI workflows or automation tools" ], "pros": [ "Provides safe, validated access to the iMessage database", "Handles phone number validation and attachments properly", "Built on FastMCP for easy integration with MCP-compatible LLMs" ], "cons": [ "Limited to macOS iMessage databases only", "Requires local setup and configuration of the MCP server", "Small community (78 stars) may mean slower updates or support" ], "tags": [ "llm", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 78, "language": [ "Python" ], "lastUpdated": "2026-02-03", "addedAt": "2026-06-01", "officialLink": "https://github.com/hannesrudolph/imessage-query-fastmcp-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [ "lharries-whatsapp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hannesrudolph-imessage-query-fastmcp-mcp-server" }, { "slug": "hannesrudolph-sqlite-explorer-fastmcp-mcp-server", "name": "hannesrudolph/sqlite-explorer-fastmcp-mcp-server", "vendor": "Various", "tagline": "An MCP server that provides safe, read-only access to SQLite databases through Model Context Protocol (MCP). This server is built with the FastMCP framework, which enables LLMs to", "description": "An MCP server that provides safe, read-only access to SQLite databases through the Model Context Protocol. It is built with the FastMCP framework and includes built-in safety features and query validation for LLMs.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to give LLMs safe, read-only access to SQLite databases", "useCases": [ "Allow LLMs to explore and query SQLite databases without write access", "Validate SQL queries before execution to prevent unsafe operations", "Enable database investigation in read-only mode for AI agents" ], "pros": [ "Read-only design prevents accidental data modification or corruption", "Built-in query validation reduces the risk of malformed or dangerous queries", "Leverages the FastMCP framework for efficient MCP compliance" ], "cons": [ "Only supports SQLite, limiting use to databases of that type", "Read-only access cannot be used for write or update operations", "Limited community adoption with 105 stars" ], "tags": [ "database-tools", "llm-integration", "llm-tools", "mcp", "python", "sqlite" ], "featured": false, "tier": "curated", "stars": 105, "language": [ "Python" ], "lastUpdated": "2025-07-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/hannesrudolph/sqlite-explorer-fastmcp-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hannesrudolph-sqlite-explorer-fastmcp-mcp-server" }, { "slug": "hannesrudolph-mcp-ragdocs", "name": "hannesrudolph/mcp-ragdocs", "vendor": "Various", "tagline": "An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant", "description": "An MCP server that uses vector search to retrieve and process documentation. It allows AI assistants to augment their responses with relevant documentation context.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need up-to-date documentation context", "useCases": [ "Integrate documentation retrieval into AI assistants", "Build a RAG pipeline for developer docs", "Enhance AI responses with context from vector search" ], "pros": [ "Open-source and written in TypeScript for easy integration", "Leverages vector search for relevant documentation retrieval", "Compatible with the MCP ecosystem for AI assistants" ], "cons": [ "Requires setup and configuration of vector search infrastructure", "Documentation quality and coverage directly affect retrieval accuracy", "Relatively early stage with 265 stars, limited community support" ], "tags": [ "llm", "mcp", "mcp-servers", "rag", "vector-database" ], "featured": false, "tier": "curated", "stars": 265, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-07-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/hannesrudolph/mcp-ragdocs", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hannesrudolph-mcp-ragdocs" }, { "slug": "hanselhansel-aeo-cli", "name": "hanselhansel/aeo-cli", "vendor": "Various", "tagline": "LLM readiness linter for websites. Audits robots.txt, llms.txt, Schema.org, and content density on a 0-100 scale. Includes MCP server. Published on PyPI: pip install context-cli.", "description": "A CLI tool that audits websites for LLM readiness by checking robots.txt, llms.txt, Schema.org, and content density. This tool scores each audit from 0 to 100 and includes an MCP server for extensibility. It is installable via pip as context-cli.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a quick, actionable assessment of a website's optimization for LLM crawlers", "useCases": [ "Auditing website compatibility with LLM crawlers", "Verifying Schema.org markup for structured data", "Checking robots.txt and llms.txt for proper directives" ], "pros": [ "Provides a specific, quantifiable score for LLM readiness", "Includes an MCP server for integration into larger workflows", "Simple pip install and command-line usage" ], "cons": [ "Low community adoption (3 GitHub stars) may indicate limited support", "Only audits a narrow set of factors for LLM readiness", "Requires manual setup and understanding of each checked component" ], "tags": [ "agent-readiness", "ai", "cli", "linter", "llm", "llms-txt", "mcp", "python" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/hanselhansel/aeo-cli", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hanselhansel-aeo-cli" }, { "slug": "hansur94-matlab-mcp-server-python", "name": "HanSur94/matlab-mcp-server-python", "vendor": "Various", "tagline": "MCP server that connects any AI agent to MATLAB — execute code, async jobs, interactive Plotly plots, custom tools, and monitoring dashboard", "description": "An MCP server that bridges AI agents with MATLAB. It enables executing MATLAB code, running asynchronous jobs, generating interactive Plotly plots, and provides a monitoring dashboard. Written in Python.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers integrating AI agents with MATLAB workflows", "useCases": [ "Running MATLAB simulations from an AI agent", "Generating interactive Plotly plots via MATLAB", "Monitoring asynchronous MATLAB job execution" ], "pros": [ "Enables AI agents to directly interact with MATLAB", "Supports asynchronous job execution for non-blocking workflows", "Includes a monitoring dashboard for job tracking" ], "cons": [ "Very early stage with only 1 star on GitHub", "Requires a MATLAB installation to function", "Limited documentation and community support" ], "tags": [ "agent", "ai", "matlab", "mcp", "model-context-protocol", "python" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-03", "addedAt": "2026-06-01", "officialLink": "https://github.com/HanSur94/matlab-mcp-server-python", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "pydantic-pydantic-ai-mcp-run-python", "haris-musa-excel-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hansur94-matlab-mcp-server-python" }, { "slug": "hanzili-comet-mcp", "name": "hanzili/comet-mcp", "vendor": "Various", "tagline": "MCP Server connecting to Perplexity Comet browser", "description": "An MCP server that connects AI agents to the Perplexity Comet browser. It enables agents to perform web browsing and research tasks through the Model Context Protocol using TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need web browsing through Perplexity Comet", "useCases": [ "Automating web research with Perplexity Comet", "Extracting live data from web pages for AI agents", "Integrating browsing capabilities into MCP-compatible tools" ], "pros": [ "Open source with a growing community (158 stars)", "Written in TypeScript for type safety and ease of contribution", "Leverages Perplexity Comet's browsing features via standard MCP" ], "cons": [ "Requires access to Perplexity Comet (may involve API costs or subscriptions)", "Limited to the browsing capabilities and policies of Perplexity Comet", "Relatively new project with potentially limited documentation and support" ], "tags": [ "agentic-ai", "agentic-browser", "automation", "mcp-server" ], "featured": false, "tier": "curated", "stars": 158, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-01-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/hanzili/comet-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "browsermcp-mcp", "agent-infra-mcp-server-browser", "executeautomation-playwright-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hanzili-comet-mcp" }, { "slug": "haomingkoo-japan-seasons-mcp", "name": "haomingkoo/japan-seasons-mcp", "vendor": "Various", "tagline": "Cherry blossom & autumn leaves forecast for Japan. 1,700+ spots with real-time bloom data, weather, and trip planning", "description": "Provides cherry blossom and autumn leaf forecasts for over 1,700 locations in Japan. Uses real-time bloom data and weather information to support trip planning. Built as an MCP tool for integration into AI agents or applications.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building Japan-focused travel or event planning applications", "useCases": [ "Integrate real-time Japan seasonal forecasts into travel apps", "Build an AI assistant that recommends hanami or koyo viewing spots", "Power trip planning features with bloom prediction data" ], "pros": [ "Covers more than 1,700 spots across Japan", "Includes real-time bloom data and weather", "Open-source JavaScript implementation" ], "cons": [ "Zero stars on GitHub may indicate early stage or lack of community validation", "Limited to Japan seasonal events only", "Requires MCP-compatible client to use" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/haomingkoo/japan-seasons-mcp", "relations": { "works_in": [ "claude-code", "cline", "cursor", "continue" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/haomingkoo-japan-seasons-mcp" }, { "slug": "haoyifan-silicon-pantheon", "name": "haoyifan/Silicon-Pantheon", "vendor": "Various", "tagline": "Silicon Pantheon - Tactics game played by AI agents coached by human", "description": "Silicon Pantheon is a tactics game environment where AI agents are coached by human players. Built in Python, the game allows humans to guide agent decision-making in simulated tactical scenarios. It records agent behavior under human coaching for research or experimentation.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Researchers and developers exploring human-in-the-loop AI training in tactical environments", "useCases": [ "Training AI agents with human-in-the-loop learning", "Studying human-AI collaboration in tactical games", "Developing and testing coaching strategies for AI" ], "pros": [ "Open-source Python code that is easy to modify", "Provides a unique human-coached agent training setup", "Low-level control for researchers to experiment with coaching" ], "cons": [ "Limited documentation or community support", "Potentially narrow focus on tactical game scenarios", "Requires significant manual coaching effort from humans" ], "tags": [ "agent-benchmark", "ai-agents", "claude-code", "competitive-ai", "gpt", "llm", "mcp", "strategy-game" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-05-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/haoyifan/Silicon-Pantheon", "relations": { "works_in": [ "cline", "continue", "cursor" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/haoyifan-silicon-pantheon" }, { "slug": "haris-musa-excel-mcp-server", "name": "haris-musa/excel-mcp-server", "vendor": "Various", "tagline": "A Model Context Protocol server for Excel file manipulation", "description": "A Python-based server that implements the Model Context Protocol (MCP) for programmatic Excel file manipulation. It enables AI agents and MCP-compatible clients to read, write, and modify Excel spreadsheets through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need reliable, protocol-based read/write access to Excel files.", "useCases": [ "Reading data from Excel files into an AI agent's context", "Writing structured data from LLM outputs into spreadsheet cells", "Automating repetitive Excel tasks like formatting or formula insertion" ], "pros": [ "Open-source with a large community following (3,889 stars)", "Clean Python codebase that is easy to extend or audit", "Standard MCP interface makes it pluggable into multiple AI assistants" ], "cons": [ "Requires a MCP-compatible client or host to be useful", "Python runtime and dependencies must be installed on the target system", "Limited to operations exposed by the MCP protocol; not a full Excel automation suite" ], "tags": [ "ai", "automation", "excel", "llm", "mcp", "mcp-server", "sse", "stdio" ], "featured": false, "tier": "curated", "stars": 3889, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/haris-musa/excel-mcp-server", "relations": { "works_in": [ "cursor", "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/haris-musa-excel-mcp-server" }, { "slug": "hardik-id-azure-resource-graph-mcp-server", "name": "hardik-id/azure-resource-graph-mcp-server", "vendor": "Various", "tagline": "Model Context Protocol (MCP) server that provides access to Azure Resource Graph queries. It allows you to retrieve information about Azure resources across your subscriptions usin", "description": "Model Context Protocol (MCP) server that exposes Azure Resource Graph queries as tools for AI agents. It allows retrieval of Azure resource information across subscriptions using standard Resource Graph queries. Built in TypeScript with a small community (18 stars).", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building LLM-powered assistants that need to query Azure resources across subscriptions", "useCases": [ "Query Azure resources across multiple subscriptions using natural language through an LLM", "Automate resource inventory and compliance checks via AI agents", "Integrate Azure resource discovery into MCP-compatible assistant workflows" ], "pros": [ "Leverages the full query power of Azure Resource Graph without writing custom API code", "Enables AI agents to access live, cross-subscription Azure resource data", "TypeScript codebase with a clear MCP server structure for easy integration" ], "cons": [ "Young project with only 18 stars, limited community and documentation", "Requires an MCP-compatible client to use, not a standalone tool", "Depends on Azure authentication setup and appropriate permissions" ], "tags": [], "featured": false, "tier": "curated", "stars": 18, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-05-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/hardik-id/azure-resource-graph-mcp-server", "relations": { "works_in": [ "cursor", "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hardik-id-azure-resource-graph-mcp-server" }, { "slug": "haroldfinchift-vuln-nist-mcp-server", "name": "HaroldFinchIFT/vuln-nist-mcp-server", "vendor": "Various", "tagline": "MCP Server for Vulnerabilities API from NVD NIST", "description": "An open-source MCP server that provides access to the National Vulnerability Database (NVD) API. It allows developers to query CVE data, retrieve vulnerability details, and integrate NVD information into MCP-compatible tools or assistants.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing programmatic access to NVD vulnerability data from MCP-compatible tools.", "useCases": [ "Query CVEs by keyword or CVE ID", "Fetch vulnerability details for security assessment", "Integrate NVD data into MCP-based workflows" ], "pros": [ "Leverages the official NVD API for authoritative data", "Lightweight Python implementation easy to deploy", "Simple MCP protocol for seamless integration" ], "cons": [ "Depends on NVD API availability and rate limits", "Small community and limited documentation", "Requires MCP-compatible client to be useful" ], "tags": [], "featured": false, "tier": "curated", "stars": 11, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-09-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/HaroldFinchIFT/vuln-nist-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "lauriewired-ghidramcp", "mrexodia-ida-pro-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/haroldfinchift-vuln-nist-mcp-server" }, { "slug": "harry-027-jotdown", "name": "Harry-027/JotDown", "vendor": "Various", "tagline": "An MCP Server in Rust for creating Notion pages & mdBooks with LLMs 🦀", "description": "JotDown is an MCP server written in Rust that allows LLMs to create Notion pages and mdBooks. It acts as a bridge between language models and Notion's API, enabling automated content creation workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-assisted documentation or note-taking systems with Notion", "useCases": [ "Automating Notion page creation from LLM outputs", "Generating structured mdBook documentation via AI", "Integrating Notion with AI-assisted writing pipelines" ], "pros": [ "Written in Rust for performance and reliability", "Leverages the MCP protocol for standardized LLM integration", "Supports both Notion pages and mdBooks in one tool" ], "cons": [ "Small community with only 21 stars, limited support", "Requires Rust toolchain to build or run", "Depends on Notion API which may have rate limits" ], "tags": [ "ai", "anthropic", "claude", "claude-ai", "llm", "mcp", "mcp-server", "mdbook" ], "featured": false, "tier": "curated", "stars": 21, "language": [ "Rust" ], "license": "MIT", "lastUpdated": "2026-02-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/Harry-027/JotDown", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "microsoft-markitdown" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/harry-027-jotdown" }, { "slug": "harrison-ai-counsel", "name": "harrison/ai-counsel", "vendor": "Various", "tagline": "🐍 🏠 🍎 🪟 🐧 - Deliberative consensus engine enabling multi-round debate between AI models with structured voting, convergence detection, and persistent decision graph memory.", "description": "ai-counsel is a Python library that orchestrates structured debates among multiple AI models to reach consensus. It uses multi-round discussions, automated voting, convergence detection, and a persistent decision graph to record outcomes.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing multi-model deliberation for high-stakes or ambiguous AI outputs", "useCases": [ "Resolving ambiguous outputs by having models debate conflicting answers", "Validating complex decisions through multi-model consensus checks", "Building auditable decision logs for compliance or review processes" ], "pros": [ "Reduces reliance on any single model's opinion", "Persistent graph memory supports traceable decision histories", "Pluggable model backends allow flexible integration" ], "cons": [ "Multiple model calls increase latency and cost per query", "Requires careful tuning of debate rounds and voting thresholds", "Does not guarantee correctness; only consensus among participants" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/harrison/ai-counsel", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/harrison-ai-counsel" }, { "slug": "harusame64-desktop-touch-mcp", "name": "Harusame64/desktop-touch-mcp", "vendor": "Various", "tagline": "Windows computer-use MCP server: drive any desktop app via semantic discover-then-act targeting (entities + leases, not pixel coordinates), with per-action perception guards, a nat", "description": "A Windows computer-use MCP server that drives any desktop app via semantic discover-then-act targeting using entities and leases instead of pixel coordinates. It combines a native Rust UI Automation engine with Chrome DevTools Protocol integration and includes per-action perception guards for safer automation.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building Windows desktop automation workflows that need a semantic, reliable alternative to traditional screen-scraping.", "useCases": [ "Automate repetitive GUI tasks in Windows applications using natural language from an MCP client.", "Perform semantic UI navigation in legacy or non-accessible apps with the Rust UIA engine.", "Combine desktop and browser automation in a single MCP session for cross-application workflows." ], "pros": [ "Semantic targeting avoids brittle pixel coordinates, improving automation reliability.", "Per-action perception guards reduce the risk of unintended operations.", "Supports both native Windows apps and Chrome via CDP for broad desktop control." ], "cons": [ "Windows-only with no cross-platform support.", "New project with zero stars and limited community adoption, so long-term stability is unproven.", "Requires understanding the lease-based targeting model and setting up an MCP client." ], "tags": [ "agent", "anthropic", "automation", "cdp", "claude", "claude-code", "computer-use", "desktop-automation" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/Harusame64/desktop-touch-mcp", "relations": { "works_in": [ "anthropic-computer-use" ], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "executeautomation-playwright-mcp-server", "wonderwhy-er-desktopcommandermcp" ], "alternative_to": [ "wonderwhy-er-desktopcommandermcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/harusame64-desktop-touch-mcp" }, { "slug": "hasanjahidul-terminal-history-mcp", "name": "HasanJahidul/terminal-history-mcp", "vendor": "Various", "tagline": "Search your shell history (zsh/bash/fish) from Claude/MCP. Local SQLite FTS5. Secret-redacted.", "description": "A TypeScript MCP server that enables searching shell history (zsh, bash, fish) from Claude. It uses local SQLite with FTS5 for full-text search and redacts secrets from the history.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to query their shell history from within Claude or other MCP-compatible assistants", "useCases": [ "Finding a previously used command during a Claude conversation", "Querying shell history with full-text search without leaving the chat", "Reviewing terminal history while keeping sensitive data hidden" ], "pros": [ "Fast full-text search via SQLite FTS5", "Redacts sensitive information from history", "Supports zsh, bash, and fish shells" ], "cons": [ "Low community adoption (2 stars)", "Requires an MCP client like Claude Desktop", "Only searches local shell history, not remote or shared histories" ], "tags": [ "claude", "cli", "fts5", "mcp", "model-context-protocol", "shell-history", "sqlite", "terminal" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/HasanJahidul/terminal-history-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp", "wonderwhy-er-desktopcommandermcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hasanjahidul-terminal-history-mcp" }, { "slug": "hashicorp-terraform-mcp-server", "name": "hashicorp/terraform-mcp-server", "vendor": "Various", "tagline": "The Terraform MCP Server provides seamless integration with Terraform ecosystem, enabling advanced automation and interaction capabilities for Infrastructure as Code (IaC) developm", "description": "A Go-based server that exposes the Terraform ecosystem through the Model Context Protocol. It allows MCP clients to execute Terraform operations, manage infrastructure as code, and automate workflows. This enables integration with tools that support the MCP standard.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-driven infrastructure management into Terraform-based workflows", "useCases": [ "Automate Terraform plan and apply cycles from MCP-compatible environments", "Manage Terraform state and associate context for infrastructure operations", "Enable programmatic control of Terraform workflows via an MCP interface" ], "pros": [ "Leverages the mature Terraform ecosystem for infrastructure as code", "Written in Go for performance and easy deployment", "Active project with 1,388 stars indicating community interest" ], "cons": [ "Requires MCP-compatible clients, limiting direct CLI or GUI usage", "Depends on a local Terraform installation and configuration", "Relatively new project with potentially evolving APIs" ], "tags": [], "featured": false, "tier": "curated", "stars": 1388, "language": [ "Go" ], "license": "MPL-2.0", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/hashicorp/terraform-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "awslabs-mcp", "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hashicorp-terraform-mcp-server" }, { "slug": "hasdata-hasdata-mcp", "name": "HasData/hasdata-mcp", "vendor": "Various", "tagline": "HasData MCP server for web scraping and data extraction. 40+ tools including Google Search, Amazon, Zillow, Airbnb, and more.", "description": "HasData MCP server provides a collection of over 40 web scraping tools exposed through the Model Context Protocol. It includes pre-built scrapers for platforms like Google Search, Amazon, Zillow, and Airbnb.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need quick, structured scraping of major web platforms through MCP-compatible agents", "useCases": [ "Extract Google search results programmatically", "Scrape product listings and details from Amazon", "Retrieve property data from Zillow or listings from Airbnb" ], "pros": [ "Offers a large set of ready-made scraping tools for popular sites", "Uses the MCP standard for integration with compatible AI agents and frameworks" ], "cons": [ "Limited community adoption indicated by only 2 GitHub stars", "Dependency on the MCP protocol may restrict use to specific environments" ], "tags": [ "business-data", "google-maps", "google-serp", "hasdata", "mcp", "mcp-server", "real-estate", "scraping" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/HasData/hasdata-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hasdata-hasdata-mcp" }, { "slug": "hashlock-tech-hashlock-mcp", "name": "Hashlock-Tech/hashlock-mcp", "vendor": "Various", "tagline": "Atomic settlement layer for the agent economy. Sealed-bid RFQ + HTLC settlement, fused into one operation. Live on Ethereum and Sui; Bitcoin HTLC mainnet-ready (signet-validated).", "description": "Hashlock-Tech/hashlock-mcp provides atomic settlement for agent-to-agent transactions. It combines sealed-bid request-for-quote with hash time-locked contract settlement in a single operation. The tool is live on Ethereum and Sui, with Bitcoin HTLC mainnet-ready after signet validation.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building agent-to-agent payment systems or decentralized OTC desks", "useCases": [ "Settling cross-chain trades between AI agents", "Executing atomic swaps for institutional OTC desks", "Enabling trustless payments in agent workflows" ], "pros": [ "Atomic settlement eliminates counterparty risk", "Supports multiple blockchains including Ethereum, Sui, and Bitcoin", "MCP-native integration for AI agents" ], "cons": [ "Low adoption with zero stars on GitHub", "Limited to supported blockchains and HTLC mechanism", "HTLC complexity may require deep technical understanding" ], "tags": [ "agent-economy", "agent-native", "ai-agents", "arbitrum", "atomic-settlement", "base", "bitcoin", "cross-chain" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/Hashlock-Tech/hashlock-mcp", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hashlock-tech-hashlock-mcp" }, { "slug": "hashgraph-online-hashnet-mcp-js", "name": "hashgraph-online/hashnet-mcp-js", "vendor": "Various", "tagline": "Universal MCP Server for finding + connecting to agents anywhere on the planet. https://hol.org/mcp", "description": "A universal MCP server for discovering and connecting to agents anywhere on the planet, hosted at hol.org/mcp. It is implemented in TypeScript and provides a model context protocol interface for agent interoperability. The GitHub repository has 12 stars.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building distributed agent ecosystems that need cross-platform agent discovery", "useCases": [ "Discovering remote agents for distributed task delegation", "Connecting to heterogeneous agent networks across domains", "Integrating MCP-compatible agents into a unified system" ], "pros": [ "Enables global agent discovery via a universal server", "TypeScript implementation provides type safety", "Open source with a permissive license" ], "cons": [ "Low star count indicates limited community adoption", "May require manual network configuration for connectivity", "Documentation may be sparse due to early stage" ], "tags": [ "a2a", "agent", "agent-discovery", "agentverse", "ai-agents", "erc-8004", "hashgraph", "hedera" ], "featured": false, "tier": "curated", "stars": 12, "language": [ "TypeScript" ], "lastUpdated": "2026-05-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/hashgraph-online/hashnet-mcp-js", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "awslabs-mcp", "browsermcp-mcp", "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hashgraph-online-hashnet-mcp-js" }, { "slug": "hatmanstack-ragstack-mcp", "name": "HatmanStack/ragstack-mcp", "vendor": "Various", "tagline": "🐍 ☁️ 🍎 🪟 🐧 - MCP server for RAGStack serverless knowledge bases. Search, chat with AI-generated answers, upload documents/media, scrape websites, and analyze metadata through a", "description": "HatmanStack/ragstack-mcp is an MCP server that connects to RAGStack serverless knowledge bases. It enables search, chat with AI-generated answers, document and media upload, website scraping, and metadata analysis through a Python-based interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building applications on top of RAGStack serverless knowledge bases who need an MCP interface for search and content ingestion.", "useCases": [ "Search and retrieve answers from a serverless knowledge base", "Upload documents and media to a RAGStack knowledge base", "Scrape websites and analyze metadata for knowledge base enrichment" ], "pros": [ "Integrates directly with RAGStack serverless knowledge bases", "Supports multiple operations including search, upload, and scraping", "Lightweight Python implementation with MCP protocol" ], "cons": [ "Limited to RAGStack ecosystem, not a general-purpose tool", "Small community with only 23 stars on GitHub", "Requires a running RAGStack serverless knowledge base to function" ], "tags": [], "featured": false, "tier": "curated", "stars": 23, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/HatmanStack/RAGStack-Lambda/tree/main/src/ragstack-mcp", "relations": { "works_in": [ "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hatmanstack-ragstack-mcp" }, { "slug": "hbg-mcp-paperswithcode", "name": "hbg/mcp-paperswithcode", "vendor": "Various", "tagline": "An unofficial MCP interface to interact with the PapersWithCode API", "description": "An unofficial MCP interface for interacting with the PapersWithCode API. It provides a Model Context Protocol server that allows developers to query research papers, code implementations, and benchmarks programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or tools that need to programmatically access papers, code, and benchmarks from PapersWithCode", "useCases": [ "Retrieve papers by topic or keyword for research workflows", "Fetch code repositories associated with published papers", "Search and compare benchmark results across datasets" ], "pros": [ "Lightweight Python implementation with minimal dependencies", "Follows the MCP standard for easy integration with AI agents", "Direct access to PapersWithCode's structured metadata" ], "cons": [ "Unofficial tool with limited community support (22 stars)", "Relies on the PapersWithCode API which may have rate limits or change", "Documentation is sparse, requiring familiarity with both MCP and the API" ], "tags": [], "featured": false, "tier": "curated", "stars": 22, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-06-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/hbg/mcp-paperswithcode", "relations": { "works_in": [ "cline", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hbg-mcp-paperswithcode" }, { "slug": "hechtcarmel-jetbrains-debugger-mcp-plugin", "name": "hechtcarmel/jetbrains-debugger-mcp-plugin", "vendor": "Various", "tagline": "☕ 🏠 - A JetBrains IDE plugin that exposes an MCP server, giving AI coding assistants full programmatic control over the debugger.", "description": "A JetBrains IDE plugin that exposes a Model Context Protocol (MCP) server. It gives AI coding assistants programmatic control over the debugger, allowing them to set breakpoints, step through code, and inspect variables.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using JetBrains IDEs who want to integrate AI assistants into their debugging workflow", "useCases": [ "Automating breakpoint management during debugging sessions", "Controlling step execution from an AI assistant", "Inspecting variables and stack traces programmatically" ], "pros": [ "Enables AI assistants to interact directly with the JetBrains debugger", "Leverages the mature debugging infrastructure of JetBrains IDEs", "Open source with a Kotlin codebase for easy customization" ], "cons": [ "Requires a JetBrains IDE and an MCP-compatible AI assistant", "Limited to debugger control, not other IDE features", "Small community with 80 stars, so limited support and documentation" ], "tags": [], "featured": false, "tier": "curated", "stars": 80, "language": [ "Kotlin" ], "license": "MIT", "lastUpdated": "2026-05-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/hechtcarmel/jetbrains-debugger-mcp-plugin", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "cursor", "cline" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hechtcarmel-jetbrains-debugger-mcp-plugin" }, { "slug": "helixgenomics-genomic-agent-discovery", "name": "HelixGenomics/Genomic-Agent-Discovery", "vendor": "Various", "tagline": "HelixGenomics/Genomic-Agent-Discovery — indexed from awesome-mcp-servers-punkpeye", "description": "An open source repository from HelixGenomics that provides a Model Context Protocol (MCP) server for querying genomic data. It enables agents to search and retrieve information from genomic databases through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need programmatic access to genomic data", "useCases": [ "Integrating genomic data queries into AI agent workflows", "Building automated research assistants for genomics", "Enabling natural language access to genomic databases" ], "pros": [ "Leverages the MCP standard for interoperability with other tools", "Open source and community maintained", "Directly addresses a niche need in bioinformatics" ], "cons": [ "Requires familiarity with MCP and genomic data formats", "Limited documentation beyond the repository itself", "Dependent on external genomic database availability" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/HelixGenomics/Genomic-Agent-Discovery", "relations": { "works_in": [ "cline", "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/helixgenomics-genomic-agent-discovery" }, { "slug": "hellokaton-unsplash-mcp-server", "name": "hellokaton/unsplash-mcp-server", "vendor": "Various", "tagline": "🔎 A MCP server for Unsplash image search.", "description": "A Model Context Protocol server for searching Unsplash images. It wraps the Unsplash API and exposes image search operations as callable tools that an MCP-compatible AI assistant can invoke.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants or tools that need on-demand access to Unsplash's free image library.", "useCases": [ "Search for free high-quality photos by keyword from a chat interface", "Fetch curated Unsplash images to accompany text or blog content", "Integrate image discovery into automated workflows or AI agents" ], "pros": [ "Simple drop-in MCP server that works with any compliant host", "Lightweight Python implementation with a focused API surface", "Gives AI assistants direct access to a rich image library" ], "cons": [ "Requires an Unsplash API key and respects their rate limits", "Only supports search, no upload or account management features", "Limited to 220 GitHub stars, smaller community for support" ], "tags": [ "mcp-server", "python3", "unsplash-mcp" ], "featured": false, "tier": "curated", "stars": 220, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/hellokaton/unsplash-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hellokaton-unsplash-mcp-server" }, { "slug": "helpful-ais-triplyfy-mcp", "name": "helpful-AIs/triplyfy-mcp", "vendor": "Various", "tagline": "📇 ☁️ - An MCP server that lets LLMs plan and manage itineraries with interactive maps in Triplyfy; manage itineraries, places and notes, and search/save flights.", "description": "An MCP server that connects LLMs to Triplyfy for trip planning. It allows managing itineraries, places, and notes, searching and saving flights, and viewing interactive maps.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI travel assistants that need itinerary management features.", "useCases": [ "Planning multi-destination itineraries with maps", "Managing trip notes and saved places", "Searching and saving flight options" ], "pros": [ "Covers key travel planning tasks in one integration", "Interactive maps enhance itinerary visualization", "Works with any MCP-compatible AI client" ], "cons": [ "Relies on Triplyfy's API and service availability", "Low community engagement (3 stars on GitHub)", "Limited to features supported by the MCP protocol" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [], "lastUpdated": "2025-08-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/helpful-AIs/triplyfy-mcp", "relations": { "works_in": [ "cline", "continue", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/helpful-ais-triplyfy-mcp" }, { "slug": "helm-protocol-openttt-mcp", "name": "Helm-Protocol/openttt-mcp", "vendor": "Various", "tagline": "OpenTTT MCP Server — Proof-of-Time temporal attestation for AI agents", "description": "OpenTTT MCP Server provides proof-of-time temporal attestation for AI agents via the Model Context Protocol. It allows agents to cryptographically prove when an action occurred, enabling time-bound trust in autonomous workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building trust-aware multi-agent systems that require verifiable action timestamps", "useCases": [ "Attesting timestamps for agent-generated content or transactions", "Enforcing time-based access controls in multi-agent systems", "Auditing agent actions with verifiable temporal proofs" ], "pros": [ "Adds cryptographic time-stamping to MCP-based agent interactions", "Lightweight TypeScript implementation with zero dependencies beyond MCP", "Enables trustless temporal verification without external oracles" ], "cons": [ "Proof-of-time concept may not suit latency-sensitive real-time applications", "No production usage or community adoption (0 stars)", "Limited documentation and no examples beyond basic attestation" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/Helm-Protocol/openttt-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "pydantic-pydantic-ai-mcp-run-python", "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/helm-protocol-openttt-mcp" }, { "slug": "henilcalagiya-google-sheets-mcp", "name": "henilcalagiya/google-sheets-mcp", "vendor": "Various", "tagline": "Python package of google sheet mcp", "description": "A Python package that implements a Model Context Protocol (MCP) server for Google Sheets, enabling AI agents to read, write, and manipulate spreadsheet data through a standardized interface. It wraps the Google Sheets API into MCP tools that can be called by any MCP-compatible client.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or automation tools that need programmatic access to Google Sheets via the Model Context Protocol", "useCases": [ "Reading and writing cell values in Google Sheets from an AI agent", "Automating spreadsheet updates as part of a data pipeline or workflow", "Integrating Google Sheets as a data source or destination for AI assistants" ], "pros": [ "Lightweight Python package with minimal dependencies", "Works with any MCP-compatible client, offering flexibility", "Open source with a straightforward implementation" ], "cons": [ "Small community (14 stars) may mean limited support and slower updates", "Requires Google API credentials and OAuth setup, adding initial overhead", "Basic functionality; advanced features like formatting or pivot tables are not covered" ], "tags": [], "featured": false, "tier": "curated", "stars": 14, "language": [ "Python" ], "lastUpdated": "2025-09-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/henilcalagiya/google-sheets-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "executeautomation-playwright-mcp-server" ], "alternative_to": [ "haris-musa-excel-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/henilcalagiya-google-sheets-mcp" }, { "slug": "henilcalagiya-mcp-apple-notes", "name": "henilcalagiya/mcp-apple-notes", "vendor": "Various", "tagline": "An local mcp server for interacting with Apple Notes via LLM.", "description": "A local MCP server that lets LLMs read, search, and create notes in Apple Notes. It uses Python to interface with the macOS Notes database, enabling programmatic access through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building macOS-native AI assistants that need to read or write Apple Notes", "useCases": [ "Search and retrieve notes by content or title", "Create new notes from LLM-generated text", "Automate note organization and backup workflows" ], "pros": [ "Direct local access to Apple Notes without cloud dependencies", "Simple MCP integration for LLM toolchains", "Lightweight Python implementation" ], "cons": [ "Limited to macOS only", "Requires granting full disk access to the Notes database", "Small community and limited documentation" ], "tags": [], "featured": false, "tier": "curated", "stars": 50, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-09-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/henilcalagiya/mcp-apple-notes", "relations": { "works_in": [ "anthropic-computer-use", "cline", "cursor", "continue" ], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/henilcalagiya-mcp-apple-notes" }, { "slug": "henryhaoson-yuque-mcp-server", "name": "HenryHaoson/Yuque-MCP-Server", "vendor": "Various", "tagline": "Yuque mcp server", "description": "A TypeScript-based MCP server that connects AI agents to Yuque, a collaborative knowledge base platform. It enables agents to read, search, and manage documents within Yuque workspaces through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to interact with Yuque knowledge bases", "useCases": [ "Search and retrieve Yuque documents for AI-assisted knowledge retrieval", "Create or update Yuque notes programmatically via agent workflows", "Integrate Yuque content into AI-powered documentation pipelines" ], "pros": [ "Direct integration with Yuque's API for document operations", "Lightweight TypeScript implementation with clear MCP protocol adherence", "Open source with 63 stars, indicating community interest and basic reliability" ], "cons": [ "Limited to Yuque platform, not useful for other knowledge bases", "Small community and limited documentation beyond the repository", "No built-in authentication or access control beyond Yuque's own permissions" ], "tags": [ "mcp", "yuque", "yuque-mcp" ], "featured": false, "tier": "curated", "stars": 63, "language": [ "TypeScript" ], "lastUpdated": "2025-10-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/HenryHaoson/Yuque-MCP-Server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp", "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/henryhaoson-yuque-mcp-server" }, { "slug": "heymrun-heym", "name": "heymrun/heym", "vendor": "Various", "tagline": "Self-hosted AI workflow automation platform with visual canvas, agents, RAG, HITL, MCP, and observability in one runtime.", "description": "Heym is a self-hosted AI workflow automation platform built in Python. It provides a visual canvas for building agents, RAG pipelines, human-in-the-loop steps, and MCP integrations, all within a single runtime with built-in observability.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a self-hosted, all-in-one platform for building and monitoring complex AI workflows.", "useCases": [ "Orchestrating multi-step AI workflows with a visual drag-and-drop canvas", "Building retrieval-augmented generation pipelines with human review steps", "Deploying self-hosted agent systems with monitoring and debugging" ], "pros": [ "Self-hosted, giving full control over data and infrastructure", "Combines agents, RAG, HITL, and MCP in one runtime", "Includes observability for debugging and monitoring workflows" ], "cons": [ "Relatively new project with a small community (565 stars)", "Requires self-hosting setup and maintenance", "Limited documentation and ecosystem compared to established platforms" ], "tags": [ "ai", "ai-agents", "ai-agents-framework", "ai-assistant", "automation", "automation-tool", "human-in-the-loop", "mcp" ], "featured": false, "tier": "curated", "stars": 565, "language": [ "Python" ], "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/heymrun/heym", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "flowise", "dify", "langflow" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/heymrun-heym" }, { "slug": "heurist-network-heurist-mesh-mcp-server", "name": "heurist-network/heurist-mesh-mcp-server", "vendor": "Various", "tagline": "🎖️ ⛅️ 🏠 🐍 - Access specialized web3 AI agents for blockchain analysis, smart contract security auditing, token metrics evaluation, and on-chain interactions through the Heurist", "description": "Heurist Mesh MCP Server provides a set of specialized AI agents accessible via an MCP interface for blockchain tasks. It covers blockchain analysis, smart contract security audits, token metrics evaluation, and on-chain interactions. The server is written in Python and integrates with the Heurist network.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and auditors working on blockchain analysis and smart contract security.", "useCases": [ "Audit smart contracts for security vulnerabilities", "Analyze blockchain data and evaluate token metrics", "Execute on-chain interactions through specialized agents" ], "pros": [ "Focuses on niche web3 use cases with dedicated agents", "Open-source Python implementation with 64 stars", "Integrates via MCP for flexible tooling" ], "cons": [ "Limited to Heurist network and web3 applications", "Relatively low community adoption based on star count", "Requires understanding of blockchain and MCP concepts" ], "tags": [], "featured": false, "tier": "curated", "stars": 64, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/heurist-network/heurist-mesh-mcp-server", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/heurist-network-heurist-mesh-mcp-server" }, { "slug": "hidai25-eval-view", "name": "hidai25/eval-view", "vendor": "Various", "tagline": "Regression testing for AI agents. Snapshot behavior,diff tool calls,catch regressions in CI. Works with LangGraph, CrewAI, OpenAI, Anthropic.", "description": "A regression testing tool for AI agents. It snapshots agent behavior and diffs tool calls to catch regressions in CI pipelines. Supports LangGraph, CrewAI, OpenAI, and Anthropic frameworks.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents who need regression testing in CI", "useCases": [ "Catching regressions in agent tool calls during CI", "Comparing behavior snapshots across agent versions", "Validating agent outputs after code changes" ], "pros": [ "Integrates with popular agent frameworks", "Provides diff-based regression detection", "Lightweight Python library" ], "cons": [ "Limited to Python ecosystem", "Requires manual snapshot management", "Only supports specific agent frameworks" ], "tags": [ "agent-benchmark", "agent-evaluation", "agentic-ai", "ai-agents", "anthropic", "autogen", "cli", "crewai" ], "featured": false, "tier": "curated", "stars": 112, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/hidai25/eval-view", "relations": { "works_in": [], "uses": [ "langchain" ], "built_with": [ "langchain" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hidai25-eval-view" }, { "slug": "hieutran-entraid-mcp-server", "name": "hieutran/entraid-mcp-server", "vendor": "Various", "tagline": "MCP server for interacting with EntraID through Microsoft Graph API.", "description": "An MCP server that provides a Model Context Protocol interface to Microsoft EntraID via the Microsoft Graph API. It enables AI agents and MCP-compatible clients to manage Azure AD resources programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to manage Azure AD resources via MCP", "useCases": [ "Managing Azure AD users and groups through MCP tools", "Automating identity and access management workflows", "Integrating EntraID operations into MCP-based agent pipelines" ], "pros": [ "Leverages the full Microsoft Graph API for comprehensive EntraID management", "Provides a standardized MCP interface for easy integration with AI agents", "Open source Python implementation allows customization and auditing" ], "cons": [ "Small community (38 stars) may limit support and contributions", "May not cover all Graph API endpoints or advanced EntraID features", "Requires an MCP-compatible client or host to be useful" ], "tags": [], "featured": false, "tier": "curated", "stars": 38, "language": [ "Python" ], "lastUpdated": "2025-05-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/hieuttmmo/entraid-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "awslabs-mcp", "sooperset-mcp-atlassian" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hieutran-entraid-mcp-server" }, { "slug": "hifriendbot-agentwallet-mcp", "name": "hifriendbot/agentwallet-mcp", "vendor": "Various", "tagline": "Permissionless wallet infrastructure for AI agents. Create wallets, sign transactions, and broadcast on EVM + Solana. Pay and accept x402 payments. Built-in guards. No KYC. Up to 5", "description": "Permissionless wallet infrastructure for AI agents to create wallets, sign transactions, and broadcast on EVM and Solana. Supports x402 payments and includes built-in guards. No KYC required and claims up to 50% lower cost than Coinbase.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building permissionless AI agent wallets on EVM and Solana chains.", "useCases": [ "Building AI agents that need to transact on EVM and Solana", "Enabling x402 payment acceptance for agent services", "Creating permissionless wallets without KYC for agent operations" ], "pros": [ "No KYC allows rapid deployment", "Supports both EVM and Solana", "Claims up to 50% lower cost than Coinbase" ], "cons": [ "Very few GitHub stars suggests low community adoption", "Limited to EVM and Solana chains", "Vendor listed as 'Various' may indicate unclear ownership or maintenance" ], "tags": [ "ai-agent", "ai-payments", "blockchain", "crypto-wallet", "defi", "developer-tools", "evm", "mcp" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/hifriendbot/agentwallet-mcp", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hifriendbot-agentwallet-mcp" }, { "slug": "hifriendbot-cogmemai-mcp", "name": "hifriendbot/cogmemai-mcp", "vendor": "Various", "tagline": "CogmemAi — Cognitive Memory for Any Ai System. Autonomous robots, self-driving vehicles, defense systems, coding assistants, and more. 91% LoCoMo benchmark — above human performanc", "description": "Cogmemai-mcp provides cognitive memory for AI systems via a TypeScript server implementing the Model Context Protocol. It achieves 91% on the LoCoMo benchmark, surpassing human performance, and is designed for autonomous robots, self-driving vehicles, defense systems, and coding assistants.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that require long-term memory and context retention", "useCases": [ "Adding persistent memory to coding assistants", "Enabling autonomous robots to recall past experiences", "Improving context retention in defense or vehicle AI systems" ], "pros": [ "Benchmark performance exceeds human baseline on LoCoMo", "Broad applicability across robotics, defense, and coding", "Built in TypeScript for type safety and broad ecosystem compatibility" ], "cons": [ "Very early stage with only 6 stars and limited community adoption", "Narrowly focuses on cognitive memory, not a general AI framework", "Documentation and examples sparse due to small project size" ], "tags": [ "ai-agent", "ai-memory", "chatgpt", "claude-code", "cline", "cognitive-memory", "cursor", "developer-tools" ], "featured": false, "tier": "curated", "stars": 6, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/hifriendbot/cogmemai-mcp", "relations": { "works_in": [ "cline", "cursor", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "topoteretes-cognee", "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hifriendbot-cogmemai-mcp" }, { "slug": "higangssh-homebutler", "name": "Higangssh/homebutler", "vendor": "Various", "tagline": "🏠 Manage your homelab from chat. Single binary, zero dependencies.", "description": "A single binary tool for managing a homelab environment through chat interfaces. It requires no dependencies and runs as a standalone executable. Users interact with it via messaging platforms to control homelab services.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Homelab enthusiasts who want to control their infrastructure from chat", "useCases": [ "Manage homelab servers from chat", "Execute commands on homelab infrastructure via messaging", "Monitor homelab status through chat interactions" ], "pros": [ "Lightweight single binary with zero dependencies", "Simple to deploy and run", "Open source and written in Go" ], "cons": [ "Limited to homelab scale and use cases", "Requires technical setup for chat integration", "Relatively low community traction (157 stars) may mean fewer features" ], "tags": [ "ai", "chatops", "cli", "devops", "docker", "go", "golang", "homelab" ], "featured": false, "tier": "curated", "stars": 157, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-05-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/Higangssh/homebutler", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "browsermcp-mcp", "wonderwhy-er-desktopcommandermcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/higangssh-homebutler" }, { "slug": "hijaz-postmancer", "name": "hijaz/postmancer", "vendor": "Various", "tagline": "An experimental MCP server Rest Client intended to be a replacement of tools postman & insomnia", "description": "An open-source experimental REST client built as an MCP server using TypeScript. It aims to provide an alternative to Postman and Insomnia by offering API testing capabilities within the Model Context Protocol framework. The project is in early development with limited adoption.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with MCP-based API testing and AI integration", "useCases": [ "Testing REST APIs via MCP-compatible assistants", "Integrating API workflows with AI agents", "Replacing traditional GUI REST clients with a server-based approach" ], "pros": [ "Open source with TypeScript codebase", "Leverages MCP protocol for AI tool integration", "Lightweight server-based alternative to GUI clients" ], "cons": [ "Experimental status – not production-ready", "Very small community (28 stars) and limited documentation", "Requires MCP-compatible host to function fully" ], "tags": [ "insomnia", "mcp", "postman", "rest-client" ], "featured": false, "tier": "curated", "stars": 28, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-08-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/hijaz/postmancer", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "postman" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hijaz-postmancer" }, { "slug": "higress-group-higress-ops-mcp-server", "name": "higress-group/higress-ops-mcp-server", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server implementation that enables comprehensive configuration and management of Higress.", "description": "This tool implements the Model Context Protocol (MCP) to enable AI agents to configure and manage Higress. It provides a server that exposes Higress operations through the MCP standard, allowing assistants to read and modify gateway settings programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and operators using Higress who want to manage it through AI agents or MCP-compatible tools", "useCases": [ "Automating Higress route and policy configuration via AI assistants", "Integrating Higress management into MCP-compatible development workflows", "Enabling natural language commands for gateway operations" ], "pros": [ "Standardizes Higress management through the Model Context Protocol", "Written in Python, making it accessible for customization and extension", "Open source with a focused scope on Higress operations" ], "cons": [ "Small community (22 stars) indicates limited adoption and support", "Requires familiarity with both MCP and Higress to use effectively", "Early stage project with potentially incomplete feature coverage" ], "tags": [], "featured": false, "tier": "curated", "stars": 22, "language": [ "Python" ], "lastUpdated": "2025-03-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/higress-group/higress-ops-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/higress-group-higress-ops-mcp-server" }, { "slug": "hikmahtech-drwhome", "name": "hikmahtech/drwhome", "vendor": "Various", "tagline": "hikmahtech/drwhome — indexed from awesome-mcp-servers-punkpeye", "description": "A Model Context Protocol (MCP) server that provides tools for interacting with Home Assistant, enabling AI agents to control smart home devices. It exposes Home Assistant entities and services through the MCP interface for programmatic access.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to control or monitor Home Assistant smart home environments", "useCases": [ "Control lights, switches, and sensors via natural language commands", "Automate home routines by integrating with AI assistants", "Query device states and history for monitoring" ], "pros": [ "Direct integration with Home Assistant's extensive device ecosystem", "Leverages MCP for standardized agent-to-smarthome communication", "Open source with community support" ], "cons": [ "Requires a running Home Assistant instance with API access", "Limited to Home Assistant compatible devices and services", "Dependent on MCP client support for full functionality" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/hikmahtech/drwhome", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hikmahtech-drwhome" }, { "slug": "hileamlakb-prims", "name": "hileamlakB/PRIMS", "vendor": "Various", "tagline": "PRIMS is a lightweight, open-source Model Context Protocol (MCP) server that lets LLM agents safely execute arbitrary Python code in a secure, throw-away sandbox.", "description": "PRIMS is a lightweight, open-source Model Context Protocol (MCP) server that safely executes arbitrary Python code in a secure, throw-away sandbox. It runs as a Python-based MCP server, letting LLM agents run code without persistent side effects.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a minimal, auditable sandbox for LLMs to run Python code without risk.", "useCases": [ "Sandboxing AI-generated Python scripts for review", "Enabling LLMs to run calculations or data transformations safely", "Testing untrusted code snippets in a contained environment" ], "pros": [ "Simple, single-purpose sandbox with clear security boundaries", "Open-source and easy to inspect or customize", "Integrates via standard MCP protocol" ], "cons": [ "Small community and limited real-world testing at 28 stars", "No built-in resource limits or timeout configurability mentioned", "Requires manual setup and dependency management" ], "tags": [ "agents", "docker", "fastmcp", "llm", "mcp", "mcp-server", "open-source", "python" ], "featured": false, "tier": "curated", "stars": 28, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-10-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/hileamlakB/PRIMS", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "pydantic-pydantic-ai-mcp-run-python" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hileamlakb-prims" }, { "slug": "himalayas-app-himalayas-mcp", "name": "Himalayas-App/himalayas-mcp", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server that provides access to remote job listings and company information from Himalayas.app.", "description": "A Model Context Protocol (MCP) server that provides access to remote job listings and company information from Himalayas.app. It enables AI agents to query real-time job postings and employer details through a standardized protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need curated remote job data", "useCases": [ "Fetching current remote job openings by criteria", "Querying company profiles from Himalayas.app", "Integrating job market data into AI-driven career tools" ], "pros": [ "Standard MCP interface allows easy integration with any MCP-compatible client", "Provides access to a curated set of remote-first jobs", "Lightweight and open source" ], "cons": [ "Data is limited to listings available on Himalayas.app only", "Requires an MCP client to use; not a standalone application", "Relatively new project with a small community (16 stars)" ], "tags": [], "featured": false, "tier": "curated", "stars": 16, "language": [], "license": "MIT", "lastUpdated": "2026-03-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/Himalayas-App/himalayas-mcp", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/himalayas-app-himalayas-mcp" }, { "slug": "hiromitsusasaki-raindrop-io-mcp-server", "name": "hiromitsusasaki/raindrop-io-mcp-server", "vendor": "Various", "tagline": "An integration that allows LLMs to interact with Raindrop.io bookmarks using the Model Context Protocol (MCP).", "description": "An MCP server that lets LLMs read, search, and manage Raindrop.io bookmarks via the Model Context Protocol. It wraps the Raindrop.io API in a TypeScript server so AI agents can access saved links and collections.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to give LLMs read/write access to their Raindrop.io bookmark library", "useCases": [ "Retrieve bookmarks by collection or tag during a conversation", "Search saved links by keyword or URL from an LLM", "Create or update bookmarks and collections through natural language" ], "pros": [ "Direct integration with Raindrop.io, a popular bookmarking service", "Simple MCP interface for LLMs to interact with personal bookmarks", "Open source with TypeScript for easy customization" ], "cons": [ "Requires a Raindrop.io API token and self-hosting the server", "Limited to Raindrop.io's own API capabilities and rate limits", "Small community (73 stars) with minimal documentation beyond the repo" ], "tags": [ "modelcontextprotocol", "raindrop-io" ], "featured": false, "tier": "curated", "stars": 73, "language": [ "TypeScript" ], "lastUpdated": "2025-06-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/hiromitsusasaki/raindrop-io-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "browsermcp-mcp", "agent-infra-mcp-server-browser", "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hiromitsusasaki-raindrop-io-mcp-server" }, { "slug": "hiroata-meltbook-mcp-server", "name": "hiroata/meltbook-mcp-server", "vendor": "Various", "tagline": "📇 ☁️ - MCP server for meltbook, an AI-agent political discussion board. 50 AI agents autonomously post, vote, and debate Japanese politics. 11 tools for thread creation, posting,", "description": "An MCP server that connects AI agents to meltbook, a political discussion board focused on Japanese politics. It provides 11 tools enabling autonomous agents to create threads, post messages, and vote in debates.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-agent experiments or simulations on Japanese political discussion boards", "useCases": [ "Simulating political discourse with AI agents on Japanese politics", "Building automated debate or voting experiments on meltbook", "Integrating MCP-compatible clients with meltbook's discussion features" ], "pros": [ "Offers a structured set of tools for agent-driven political discussion", "Enables autonomous posting, voting, and thread creation", "Open-source and integrates with the MCP ecosystem" ], "cons": [ "Limited to Japanese politics and meltbook platform", "Requires MCP-compatible client to use", "50-agent limit may constrain larger simulations" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/hiroata/meltbook", "relations": { "works_in": [], "uses": [], "built_with": [ "awslabs-mcp" ], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hiroata-meltbook-mcp-server" }, { "slug": "hive-intel-hive-crypto-mcp", "name": "hive-intel/hive-crypto-mcp", "vendor": "Various", "tagline": "Public SDK, CLI, and docs for Hive Intelligence: crypto MCP access for AI agents.", "description": "A public SDK, CLI, and documentation set that enables AI agents to access crypto data through Hive Intelligence using the Model Context Protocol. It provides TypeScript tooling for querying blockchain information and integrating with agent workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need programmatic access to crypto data", "useCases": [ "Building AI agents that fetch on-chain data", "Integrating crypto market intelligence into automated workflows", "Prototyping agentic tools for blockchain analysis" ], "pros": [ "Open source with TypeScript support for type safety", "Includes both SDK and CLI for flexible integration", "Directly targets the Model Context Protocol for agent interoperability" ], "cons": [ "Low star count (17) suggests limited community adoption", "Documentation may be sparse or incomplete", "Relies on Hive Intelligence infrastructure which could change" ], "tags": [ "ai-agents", "anthropic", "blockchain", "chatgpt", "claude", "claude-desktop", "crypto", "cryptocurrency" ], "featured": false, "tier": "curated", "stars": 17, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/hive-intel/hive-crypto-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "awslabs-mcp", "fastmcp", "mediar-ai-screenpipe" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hive-intel-hive-crypto-mcp" }, { "slug": "hkaanengin-opendota-mcp-server", "name": "hkaanengin/opendota-mcp-server", "vendor": "Various", "tagline": "MCP server providing AI assistants with access to Dota 2 statistics via OpenDota API. 20+ tools for player stats, hero data, and match analysis with natural language support.", "description": "An MCP server that connects AI assistants to Dota 2 statistics through the OpenDota API. It exposes over 20 tools for querying player stats, hero data, and match analysis using natural language.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need to answer Dota 2 stat questions conversationally", "useCases": [ "Ask for a player’s recent match history and performance stats", "Get hero-specific win rates and pick/ban data", "Analyze specific match details like team compositions and timings" ], "pros": [ "Gives AI direct access to rich Dota 2 match and player data", "Natural language interface reduces need for manual API calls", "Small, focused codebase in Python, easy to inspect" ], "cons": [ "Only 2 GitHub stars, indicating very limited community use or validation", "Relies on the external OpenDota API, which has rate limits and may change", "No authentication or user-specific setup, limits tailored queries" ], "tags": [ "dota2", "fastmcp", "mcp", "mcp-server", "opendota" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "lastUpdated": "2026-01-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/hkaanengin/opendota-mcp-server", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hkaanengin-opendota-mcp-server" }, { "slug": "hloiseaufcms-mcp-gopls", "name": "hloiseaufcms/mcp-gopls", "vendor": "Various", "tagline": "Model Context Protocol (MCP) server for Go using gopls – LSP-powered analysis, tests, coverage, and tooling.", "description": "hloiseaufcms/mcp-gopls is a Model Context Protocol server that wraps Go's language server (gopls) into MCP-compatible endpoints. It allows AI assistants to perform LSP-powered Go code analysis, run tests, check coverage, and access tooling directly from the protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Go developers who want AI-assisted tooling integrated with gopls", "useCases": [ "Analyze Go code structure and diagnostics", "Run tests and view coverage reports", "Refactor or generate Go code suggestions" ], "pros": [ "Leverages gopls for accurate, LSP-standard Go analysis", "Supports testing and coverage workflows directly via MCP", "Open-source (MIT licensed) and written in Go" ], "cons": [ "Requires gopls to be installed and configured separately", "Limited to Go ecosystem, not multi-language", "Small community (86 stars) may mean fewer contributions or updates" ], "tags": [ "ai-agents", "ai-tools", "developer-tools", "go", "golang", "gopls", "lsp", "mcp" ], "featured": false, "tier": "curated", "stars": 86, "language": [ "Go" ], "license": "Apache-2.0", "lastUpdated": "2026-02-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/hloiseaufcms/mcp-gopls", "relations": { "works_in": [ "cursor", "cline", "claude-code", "aider", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hloiseaufcms-mcp-gopls" }, { "slug": "hlydecker-ucsc-genome-mcp", "name": "hlydecker/ucsc-genome-mcp", "vendor": "Various", "tagline": "An MCP server to interact with the UCSC Genome Browser API", "description": "An MCP server that provides a programmatic interface to the UCSC Genome Browser API. It enables AI agents and tools to query genomic data through the Model Context Protocol, using Python to translate requests into API calls.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or tools that need to query genomic data from UCSC", "useCases": [ "Fetching genomic sequences and annotations for analysis", "Integrating UCSC genome data into AI-driven research workflows", "Automating retrieval of gene tracks and regulatory features" ], "pros": [ "Simplifies access to UCSC Genome Browser data via the MCP standard", "Written in Python, easy to extend or embed in existing projects", "Open source with a permissive license for customization" ], "cons": [ "Very early stage with only 5 GitHub stars, limited community validation", "Documentation and error handling may be sparse", "Depends on UCSC API availability and rate limits" ], "tags": [ "bioinformatics", "genetics", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 5, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-11-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/hlydecker/ucsc-genome-mcp", "relations": { "works_in": [ "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hlydecker-ucsc-genome-mcp" }, { "slug": "hoklims-stacksfinder-mcp", "name": "hoklims/stacksfinder-mcp", "vendor": "Various", "tagline": "MCP server for StacksFinder - deterministic tech stack recommendations for LLM clients", "description": "hoklims/stacksfinder-mcp is an MCP server that provides deterministic tech stack recommendations for LLM clients. It implements the Model Context Protocol to allow AI assistants to query stack suggestions programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building LLM-based tooling that need consistent, deterministic tech stack suggestions", "useCases": [ "Integrating stack recommendations into an LLM-powered coding assistant", "Automating tech stack selection during project scaffolding", "Evaluating consistent stack options across multiple LLM sessions" ], "pros": [ "Deterministic output ensures repeatable recommendations", "Lightweight TypeScript implementation", "Integrates directly with LLM clients via MCP" ], "cons": [ "Low GitHub stars indicate limited community adoption", "Dependent on external StackFinder service availability", "Only supports MCP protocol, limiting integration options" ], "tags": [], "featured": false, "tier": "curated", "stars": 8, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-01-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/hoklims/stacksfinder-mcp", "relations": { "works_in": [ "cursor", "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hoklims-stacksfinder-mcp" }, { "slug": "hope1026-weppy-roblox-mcp", "name": "hope1026/weppy-roblox-mcp", "vendor": "Various", "tagline": "Roblox Studio MCP server & plugin for Claude Code, Cursor, Codex, and Gemini. AI-powered scripts, terrain, assets, lighting, and bidirectional project sync.", "description": "An MCP server and plugin for Roblox Studio that connects coding assistants like Claude Code, Cursor, Codex, and Gemini. It enables script generation, terrain manipulation, asset management, lighting adjustments, and bidirectional project sync between the AI environment and Roblox Studio.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Roblox developers who want to use AI coding assistants to speed up common Studio tasks.", "useCases": [ "Generate Roblox scripts from natural language prompts", "Sync project files between Roblox Studio and an AI coding assistant", "Modify terrain, assets, or lighting via AI-driven commands" ], "pros": [ "Works with multiple popular AI coding tools", "Supports bidirectional sync to keep edits consistent", "Covers a broad set of Roblox Studio tasks (scripts, terrain, lighting, assets)" ], "cons": [ "Small community and limited adoption (only 30 stars)", "Requires Windows to run the PowerShell-based server", "Depends on external AI services, introducing latency and potential costs" ], "tags": [ "ai", "ai-agents", "antigravity", "claude", "claude-code", "codex", "cursor", "game-development" ], "featured": false, "tier": "curated", "stars": 30, "language": [ "PowerShell" ], "license": "AGPL-3.0", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/hope1026/weppy-roblox-mcp", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "coding-solo-godot-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hope1026-weppy-roblox-mcp" }, { "slug": "hmk-box-mcp-server", "name": "hmk/box-mcp-server", "vendor": "Various", "tagline": "A Box model context protocol server to search, read and access files", "description": "A JavaScript implementation of the Model Context Protocol server for Box. It enables AI agents to search, read, and access files stored in Box through the MCP interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to connect their Box storage to MCP-compatible AI agents", "useCases": [ "Searching for files in a Box account from an MCP client", "Reading file contents for AI processing or analysis", "Accessing Box storage directly within MCP-enabled tools" ], "pros": [ "Lightweight and easy to deploy as a JavaScript package", "Uses the standardized Model Context Protocol for interoperability", "Open source with a permissive license" ], "cons": [ "Limited community adoption (11 stars)", "Basic capabilities confined to search, read, and access operations", "Requires self-hosting and configuration of Box API credentials" ], "tags": [], "featured": false, "tier": "curated", "stars": 11, "language": [ "JavaScript" ], "license": "BSD-3-Clause", "lastUpdated": "2025-08-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/hmk/box-mcp-server", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hmk-box-mcp-server" }, { "slug": "hoqqun-stooq-mcp", "name": "hoqqun/stooq-mcp", "vendor": "Various", "tagline": "🦀 Rust MCP server for stock prices from stooq.com | 株価取得MCPサーバー", "description": "A Rust-based MCP server that fetches stock prices from stooq.com. It provides a Model Context Protocol interface for retrieving real-time and historical stock data, enabling integration with AI agents and development tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a lightweight MCP server to add stock price capabilities to AI tools or custom assistants", "useCases": [ "Query stock prices for a given ticker symbol via MCP", "Integrate stock market data into AI assistant workflows", "Build portfolio tracking features in MCP-enabled applications" ], "pros": [ "Simple, focused functionality for stock price retrieval", "Built in Rust for performance and reliability", "Uses the standard MCP protocol for broad compatibility" ], "cons": [ "Relies on a single third-party data source (stooq.com) which may have limited coverage or availability", "Low project adoption (4 stars) indicating minimal community validation or support", "Limited to stock price data only, no other financial metrics or endpoints" ], "tags": [], "featured": false, "tier": "curated", "stars": 4, "language": [ "Shell" ], "lastUpdated": "2025-12-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/hoqqun/stooq-mcp", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hoqqun-stooq-mcp" }, { "slug": "horustechltd-horus-flow-mcp", "name": "horustechltd/horus-flow-mcp", "vendor": "Various", "tagline": "Official MCP server for Horus Flow Intelligence: Institutional-grade market microstructure and orderflow physics for AI trading agents.", "description": "An MCP server that exposes institutional-grade market microstructure and orderflow physics data for AI trading agents. Built in Python, it connects AI agents to Horus Flow Intelligence for real-time orderflow analysis.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI trading agents that need real-time orderflow and market microstructure data", "useCases": [ "Feed orderflow data into AI trading agents for microstructure analysis", "Integrate market physics signals into automated trading strategies", "Build MCP-compatible tools that consume institutional market data" ], "pros": [ "Provides access to institutional-grade market microstructure data", "Python-based, easy to integrate into existing AI agent pipelines", "Open source with MCP protocol for standardized agent communication" ], "cons": [ "Very early stage with only 1 GitHub star, limited community adoption", "Documentation and stability may be minimal due to newness", "Requires understanding of orderflow physics and MCP protocol" ], "tags": [ "ai-agent", "algorithmic-trading", "binance", "claude", "crypto", "cursor", "equities", "fastapi" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/horustechltd/horus-flow-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "awslabs-mcp" ], "pairs_with": [ "mindsdb-mindsdb" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/horustechltd-horus-flow-mcp" }, { "slug": "horw-esp-mcp", "name": "horw/esp-mcp", "vendor": "Various", "tagline": "Centralize ESP32 related commands and simplify getting started with seamless, LLM-driven interaction and help.", "description": "horw/esp-mcp is an open-source Python tool that centralizes ESP32 commands, allowing developers to control and interact with ESP32 devices through an LLM-driven interface. It simplifies setup and provides a unified command hub for managing ESP32 projects.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-integrated IoT workflows with ESP32 microcontrollers", "useCases": [ "Automate ESP32 firmware flashing and configuration via natural language", "Streamline debugging by querying device state through an LLM", "Integrate ESP32 command workflows into larger AI-driven development pipelines" ], "pros": [ "Reduces manual command overhead for ESP32 tasks", "Leverages Python for broad compatibility and easy customization", "Active community with 150 stars suggests reliability and support" ], "cons": [ "Relies on an LLM interface, which may introduce latency or unexpected outputs", "Limited to ESP32 ecosystem, not applicable to other microcontrollers", "Documentation and examples may be sparse given relatively low stars" ], "tags": [ "esp-idf", "esp32", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 150, "language": [ "Python" ], "lastUpdated": "2025-12-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/horw/esp-mcp", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/horw-esp-mcp" }, { "slug": "hovsteder-powersun-tron-mcp", "name": "Hovsteder/powersun-tron-mcp", "vendor": "Various", "tagline": "TRON Energy & Bandwidth MCP Server + DEX Swap Aggregator for AI agents. 27 tools: self-service onboarding, buy/sell TRON resources, swap tokens on SunSwap DEX via MCP, REST API, or", "description": "An MCP server that gives AI agents 27 tools to manage TRON blockchain resources and swap tokens on SunSwap DEX. It supports self-service onboarding, buying and selling TRON energy and bandwidth, and token swaps. Access is available via MCP, REST API, or HTTP 402 with a 10% commission.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that interact with TRON blockchain", "useCases": [ "Automating TRON resource purchases for dApp operations", "Swapping tokens on SunSwap via an AI agent", "Self-service onboarding of TRON accounts" ], "pros": [ "Low 10% commission on transactions", "Multiple access methods (MCP, REST, HTTP 402)", "Comprehensive set of 27 tools for TRON interactions" ], "cons": [ "Low community adoption (1 star on GitHub)", "Limited to the TRON blockchain ecosystem", "Requires Docker deployment" ], "tags": [ "ai-agent", "blockchain", "defi", "dex-swap", "energy-rental", "http-402", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Dockerfile" ], "license": "MIT", "lastUpdated": "2026-04-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/Hovsteder/powersun-tron-mcp", "relations": { "works_in": [ "claude-code", "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hovsteder-powersun-tron-mcp" }, { "slug": "hshintelligence-agent-scrape", "name": "hshintelligence/agent-scrape", "vendor": "Various", "tagline": "Pay-per-call web scraping for AI agents — no signup, no API keys, just USDC. x402-monetized MCP server on Base mainnet, deployed on Cloudflare Workers. 6 tools: scrape, extract (Gr", "description": "A pay-per-call web scraping MCP server for AI agents, monetized via x402 on Base mainnet and deployed on Cloudflare Workers. It requires no signup or API keys, charging only USDC per request. The server exposes six tools: scrape, extract (using Groq + Llama 4), screenshot, metadata, workflow, and session.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need lightweight, crypto-payable web scraping with minimal setup.", "useCases": [ "Integrate pay-as-you-go web scraping into AI agent pipelines without managing subscriptions.", "Extract structured data from web pages using an LLM (Groq + Llama 4) in a single call.", "Capture screenshots or metadata of pages for agent-based monitoring or archiving." ], "pros": [ "No signup or API key management, reducing setup friction for developers.", "Pay-per-call with USDC on Base, enabling granular cost control without fixed plans.", "Deployed on Cloudflare Workers for low-latency, serverless execution." ], "cons": [ "Requires USDC wallet and familiarity with Base network, limiting adoption.", "Low GitHub star count (1) indicates early-stage development and limited community support.", "Tool set is narrow (6 tools) and may not handle complex scraping workflows without custom workflow tool." ], "tags": [ "agent-native", "agentic-commerce", "ai-agents", "base-network", "browser-automation", "cloudflare-workers", "coinbase", "hono" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/hshintelligence/agent-scrape", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [ "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hshintelligence-agent-scrape" }, { "slug": "hublensofficial-mcp-server", "name": "HubLensOfficial/mcp-server", "vendor": "Various", "tagline": "HubLensOfficial/mcp-server — indexed from awesome-mcp-servers-punkpeye", "description": "A Model Context Protocol (MCP) server implementation in JavaScript. Listed in the awesome-mcp-servers-punkpeye collection. The repository has no stars and minimal available context.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring the Model Context Protocol who need a minimal reference implementation.", "useCases": [ "Experimenting with the Model Context Protocol for AI tool integrations", "Building lightweight MCP server prototypes in JavaScript", "Learning MCP server architecture from a minimal codebase" ], "pros": [ "Simple JavaScript codebase suitable for learning", "Indexed in a curated directory of MCP servers" ], "cons": [ "Zero stars indicates no community adoption or validation", "No documented usage, examples, or release process visible", "Likely unmaintained or a proof-of-concept with limited utility" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/HubLensOfficial/mcp-server", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hublensofficial-mcp-server" }, { "slug": "hubinoretros-deep-thinker", "name": "hubinoretros/deep-thinker", "vendor": "Various", "tagline": "Advanced cognitive reasoning MCP server — DAG thought graph, 10 strategies, metacognition, self-critique, knowledge integration, and pruning", "description": "An MCP server that implements a directed acyclic graph (DAG) thought graph for structured reasoning. It applies 10 reasoning strategies, metacognition, self-critique, knowledge integration, and pruning to refine outputs.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building advanced reasoning agents within the MCP ecosystem", "useCases": [ "Building multi-step reasoning chains for LLM agents", "Implementing self-correcting thought processes in MCP hosts", "Combining multiple reasoning strategies for complex queries" ], "pros": [ "Structured DAG-based reasoning improves coherence", "Includes self-critique and pruning to reduce errors", "Supports multiple reasoning strategies in one tool" ], "cons": [ "Low community adoption with only 7 stars", "Requires an MCP-compatible host to function", "Setup and configuration may be non-trivial" ], "tags": [ "abductive-reasoning", "ai-agent", "analogical-reasoning", "cognitive-engine", "dag", "dialectic", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 7, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/hubinoretros/deep-thinker", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "topoteretes-cognee", "pydantic-pydantic-ai-mcp-run-python" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hubinoretros-deep-thinker" }, { "slug": "hug0x0-mcp-reunion", "name": "Hug0x0/mcp-reunion", "vendor": "Various", "tagline": "MCP server for La Réunion open data", "description": "Hug0x0/mcp-reunion is a Model Context Protocol server that provides access to open data from La Réunion. It allows AI agents to query and retrieve public datasets through a standardized MCP interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based tools that need to incorporate public data from La Réunion", "useCases": [ "Querying La Réunion open data portals for geographic or demographic information", "Integrating local public data into AI-driven applications or chatbots", "Building tools that combine MCP with regional datasets for analysis" ], "pros": [ "Provides structured access to a specific regional open data source", "Uses the MCP standard for easy integration with compatible agents", "Written in TypeScript for type safety and broad ecosystem support" ], "cons": [ "Limited to La Réunion data, not useful for other regions", "No stars or community adoption yet, indicating early stage", "Dependent on the availability and quality of the underlying open data" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/Hug0x0/mcp-reunion", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hug0x0-mcp-reunion" }, { "slug": "huggingagi-mcp-baostock-server", "name": "HuggingAGI/mcp-baostock-server", "vendor": "Various", "tagline": "🐍 ☁️ - MCP server based on baostock, providing access and analysis capabilities for Chinese stock market data.", "description": "This MCP server wraps the baostock library to provide access to Chinese stock market data. It handles authentication and data retrieval, exposing stock quotes, financial statements, and technical indicators through standardized tool calls. The server is designed for integration with MCP-compatible AI assistants.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need real-time or historical Chinese stock market data", "useCases": [ "Query historical stock prices for A-share companies", "Get financial statements for a specific stock code", "Perform technical analysis with baostock indicators" ], "pros": [ "Open source and free to use with no API key needed", "Supports multiple data types including quotes and fundamentals", "Standard MCP protocol enables drop-in use with AI assistants" ], "cons": [ "Data coverage is restricted to Chinese A-share stocks only", "Requires baostock registration and Python environment setup", "No built-in caching or rate limiting for data queries" ], "tags": [], "featured": false, "tier": "curated", "stars": 109, "language": [ "Python" ], "lastUpdated": "2026-03-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/HuggingAGI/mcp-baostock-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "antv-mcp-server-chart" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/huggingagi-mcp-baostock-server" }, { "slug": "hughescuit-heventure-search-mcp", "name": "HughesCuit/heventure-search-mcp", "vendor": "Various", "tagline": "Free, API-key-free MCP web search server — DuckDuckGo, Bing, Google + optional SerpAPI/Tavily. Works with Claude Desktop, Cursor, and any MCP client.", "description": "A free MCP web search server that supports DuckDuckGo, Bing, and Google without requiring API keys, with optional SerpAPI or Tavily integration. It acts as a search tool for any MCP client, including Claude Desktop and Cursor. The server is written in Python and operates as a self-hosted component.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need cost-free, API-key-free web search integrated into MCP-based tooling", "useCases": [ "Adding web search to Claude Desktop without API key costs", "Enabling search queries from Cursor workflows", "Integrating multiple search providers into custom MCP clients" ], "pros": [ "No API key required for DuckDuckGo, Bing, or Google searches", "Supports multiple search engines and optional paid APIs for redundancy", "Compatible with any MCP client, not just a few tools" ], "cons": [ "Free search engines may impose rate limits or block automated queries", "Google search without official API can be unreliable or break", "Requires local Python setup and maintenance for the server" ], "tags": [ "ai-agent", "claude", "duckduckgo", "langchain", "llm", "mcp", "mcp-server", "no-api-key" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "Python" ], "lastUpdated": "2026-05-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/HughesCuit/heventure-search-mcp", "relations": { "works_in": [ "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "exa-labs-exa-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hughescuit-heventure-search-mcp" }, { "slug": "hugoles-langfuse-mcp", "name": "hugoles/langfuse-mcp", "vendor": "Various", "tagline": "hugoles/langfuse-mcp — indexed from awesome-mcp-servers-punkpeye", "description": "A Model Context Protocol server that integrates Langfuse observability into MCP-compatible clients. It allows developers to query and manage Langfuse traces, spans, and observations directly from their development environment.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers already using Langfuse who want to access observability data through MCP-enabled editors or agents", "useCases": [ "Inspect Langfuse trace data without leaving the IDE", "Debug LLM application performance by querying spans and observations", "Automate Langfuse data retrieval as part of MCP-based workflows" ], "pros": [ "Brings Langfuse observability directly into MCP-compatible tools", "Written in TypeScript for type safety and ease of contribution", "Lightweight integration for existing Langfuse users" ], "cons": [ "Zero stars and no community traction yet", "Limited documentation beyond the repository index", "Requires a running Langfuse instance to be useful" ], "tags": [ "anthropic", "claude", "langfuse", "llm-observability", "mcp", "mcp-server", "model-context-protocol", "typescript" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/hugoles/langfuse-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp", "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hugoles-langfuse-mcp" }, { "slug": "human-pages-ai-humanpages", "name": "human-pages-ai/humanpages", "vendor": "Various", "tagline": "MCP server (+ OpenClaw SKILL.md) that gives AI agents access to real-world people who listed themselves to be hired by agents. Search by skill/location/equipment, Post job offers &", "description": "An MCP server that enables AI agents to find and hire real-world people who have listed themselves for work. Agents can search by skill, location, or equipment and post job offers to a job board. The tool offers a free tier, a Pro subscription, and pay-per-use with default crypto (USDC) plus other crypto and fiat options.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building agentic workflows that need to hire human workers", "useCases": [ "Searching for freelancers by skill and location", "Posting job listings for AI agents to fill", "Hiring human workers via agent-to-human workflows" ], "pros": [ "Connects AI agents directly to real human workers", "Supports multiple payment methods including crypto", "Free tier available for initial testing" ], "cons": [ "Low GitHub stars indicate early stage or limited adoption", "Relies on a self-listing pool which may be small", "Default crypto payments may deter non-crypto users" ], "tags": [ "ai-agent-tools", "ai-agents", "freelance-platform", "gigs", "mcp", "mcp-server", "model-context-protocol", "openclaw" ], "featured": false, "tier": "curated", "stars": 6, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/human-pages-ai/humanpages", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "skill-seekers-skill-seekers" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/human-pages-ai-humanpages" }, { "slug": "humansignal-label-studio-mcp-server", "name": "HumanSignal/label-studio-mcp-server", "vendor": "Various", "tagline": "🎖️ 🐍 ☁️ 🪟 🐧 🍎 - Create, manage, and automate Label Studio projects, tasks, and predictions for data labeling workflows.", "description": "This MCP server provides a programmatic interface to create, manage, and automate Label Studio projects, tasks, and predictions. It uses the Model Context Protocol to integrate labeling workflows into applications and agents. The server is written in Python and communicates with the Label Studio API.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building automated data labeling pipelines using Label Studio", "useCases": [ "Automate creation and assignment of labeling tasks from external data sources", "Integrate prediction model outputs directly into Label Studio projects", "Manage project configurations and labeling workflows programmatically" ], "pros": [ "Directly integrates with Label Studio's API for full project lifecycle management", "Follows the Model Context Protocol, enabling extensibility and tool chaining", "Open source with a Python codebase, easy for developers to customize" ], "cons": [ "Small community (30 GitHub stars) limits available support and examples", "Requires a running Label Studio instance and Python environment", "Dependent on Label Studio API version compatibility" ], "tags": [], "featured": false, "tier": "curated", "stars": 30, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2025-05-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/HumanSignal/label-studio-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [ "pytorch" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/humansignal-label-studio-mcp-server" }, { "slug": "hungthai1401-bruno-mcp", "name": "hungthai1401/bruno-mcp", "vendor": "Various", "tagline": "MCP Server for running Bruno Collections", "description": "An MCP server that executes Bruno API collections. It allows MCP-compatible clients to trigger Bruno runs, enabling AI agents or automation tools to perform API testing workflows. Built in JavaScript and designed for integration with the Model Context Protocol ecosystem.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Bruno who want to invoke collections through MCP-based agents or automation.", "useCases": [ "Trigger Bruno API collections from AI assistants", "Automate API testing workflows via MCP clients", "Integrate Bruno with agentic tools and pipelines" ], "pros": [ "Open source and lightweight JavaScript implementation", "Leverages the MCP standard for broad compatibility", "Simple setup for developers already using Bruno" ], "cons": [ "Small community (42 stars) may mean limited support", "Requires Bruno installed and configured separately", "Documentation and examples are sparse" ], "tags": [], "featured": false, "tier": "curated", "stars": 42, "language": [ "JavaScript" ], "lastUpdated": "2025-08-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/hungthai1401/bruno-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hungthai1401-bruno-mcp" }, { "slug": "huntsdesk-ve-gws", "name": "HuntsDesk/ve-gws", "vendor": "Various", "tagline": "Google Workspace MCP that actually writes. 28 tools across Docs/Slides/Sheets/Drive — markdown-to-Docs, smart chips, data validation, recursive folder copy, revision restore.", "description": "ve-gws is an MCP server for Google Workspace that provides 28 tools for Docs, Slides, Sheets, and Drive. It supports write operations including markdown-to-Docs conversion, smart chip insertion, data validation, recursive folder copy, and revision restore.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need programmatic write access to Google Workspace", "useCases": [ "Convert markdown documents to Google Docs", "Automate data validation rules in Sheets", "Recursively copy Google Drive folders" ], "pros": [ "Enables full write access to Google Workspace via MCP", "Covers multiple apps (Docs, Slides, Sheets, Drive) with 28 tools", "Includes advanced features like smart chips and revision restore" ], "cons": [ "Low star count (1) indicates early stage or limited adoption", "Python-only implementation may restrict integration options", "No included documentation on authentication or deployment overhead" ], "tags": [ "ai-agents", "anthropic", "claude-code", "google-docs", "google-drive", "google-sheets", "google-slides", "google-workspace" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/HuntsDesk/ve-gws", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "haris-musa-excel-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/huntsdesk-ve-gws" }, { "slug": "hustcc-mcp-echarts", "name": "hustcc/mcp-echarts", "vendor": "Various", "tagline": "🧬 Generate visual charts using ECharts with AI MCP dynamically, used for chart generation and data analysis.", "description": "An MCP server that dynamically generates ECharts visualizations from data. It enables AI agents to create charts on demand for data analysis and reporting. Built in TypeScript, it integrates with any MCP-compatible client.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants or tools that need on-demand chart generation from data.", "useCases": [ "Generate bar, line, or scatter charts from structured data", "Embed chart creation into AI-powered data analysis workflows", "Produce visualizations for automated reporting or dashboards" ], "pros": [ "Leverages the mature ECharts library for rich, customizable charts", "Open source with a straightforward MCP interface for easy integration", "Dynamic generation allows real-time chart creation without manual coding" ], "cons": [ "Limited to ECharts; no support for other charting libraries", "Requires an MCP-compatible client and setup, adding dependency", "Small community (237 stars) may mean fewer examples or contributions" ], "tags": [ "echarts", "llm", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 237, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-01-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/hustcc/mcp-echarts", "relations": { "works_in": [ "claude-code", "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "antv-mcp-server-chart", "mckinsey-vizro-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hustcc-mcp-echarts" }, { "slug": "hustcc-mcp-mermaid", "name": "hustcc/mcp-mermaid", "vendor": "Various", "tagline": "❤️ Generate mermaid diagram and chart with AI MCP dynamically.", "description": "An MCP (Model Context Protocol) server that generates Mermaid diagrams and charts dynamically. It accepts natural language descriptions from AI assistants and returns Mermaid code, enabling automatic diagram creation within chat or development workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using AI assistants who need on-demand diagrams for documentation, design, or debugging.", "useCases": [ "Generate flowcharts or sequence diagrams from natural language prompts", "Create architecture diagrams on demand during AI-assisted documentation", "Produce Mermaid charts for inclusion in markdown or code comments" ], "pros": [ "Enables dynamic diagram generation without manual drawing", "Integrates with MCP-compatible AI assistants for seamless workflow", "Written in TypeScript, making it easy to audit and extend" ], "cons": [ "Output is limited to Mermaid syntax, not generic graphics", "Requires an MCP-capable AI environment to function", "Dependent on the underlying AI model's interpretation accuracy" ], "tags": [ "mcp", "mcp-server", "mermaid", "mermaidjs" ], "featured": false, "tier": "curated", "stars": 572, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/hustcc/mcp-mermaid", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [ "antv-mcp-server-chart", "mckinsey-vizro-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hustcc-mcp-mermaid" }, { "slug": "hybirdss-smartest-tv", "name": "Hybirdss/smartest-tv", "vendor": "Various", "tagline": "📺 Control any smart TV with natural language. Play Netflix by name from your terminal. PyPI: stv · MCP server · LG/Samsung/Roku/Android", "description": "A Python tool that allows you to control smart TVs from various brands (LG, Samsung, Roku, Android) using natural language commands from your terminal. It provides a PyPI package 'stv' and an MCP server integration, enabling actions like launching Netflix by name without remote control.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to automate or script smart TV actions using natural language commands", "useCases": [ "Launch streaming apps on smart TVs via terminal commands", "Integrate natural language TV control into automation scripts or assistants", "Control multiple TV brands from a single Python interface" ], "pros": [ "Supports multiple major TV brands (LG, Samsung, Roku, Android)", "Natural language interface reduces need for remote or complex API calls", "Lightweight terminal-based tool with PyPI package for easy installation" ], "cons": [ "Small user community (34 stars) may mean limited troubleshooting resources", "Effectiveness of natural language parsing may vary across TV models", "Requires network access to the TV; setup may involve authentication or device discovery" ], "tags": [ "ai-agent", "android-tv", "cli", "deep-linking", "home-automation", "lg-tv", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 34, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/Hybirdss/smartest-tv", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "wonderwhy-er-desktopcommandermcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hybirdss-smartest-tv" }, { "slug": "hydrolix-mcp-hydrolix", "name": "hydrolix/mcp-hydrolix", "vendor": "Various", "tagline": "An MCP server for Hydrolix", "description": "An MCP server that enables AI agents to query Hydrolix, a time-series data platform. It implements the Model Context Protocol to allow natural language or structured queries against Hydrolix datasets. Built in Python, it provides a bridge between AI assistants and Hydrolix's storage and query engine.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to query Hydrolix time-series data", "useCases": [ "Query time-series logs from an AI assistant", "Integrate Hydrolix data into AI workflows", "Enable natural language analysis of Hydrolix metrics" ], "pros": [ "Simple setup for Python environments", "Leverages MCP standard for interoperability", "Direct access to Hydrolix's high-performance query engine" ], "cons": [ "Limited community adoption (9 stars)", "Requires running a separate MCP server process", "Documentation may be sparse" ], "tags": [], "featured": false, "tier": "curated", "stars": 9, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/hydrolix/mcp-hydrolix", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hydrolix-mcp-hydrolix" }, { "slug": "hypeprinter007-stack-anchor-x402-mcp", "name": "hypeprinter007-stack/anchor-x402-mcp", "vendor": "Various", "tagline": "MCP server exposing 9 anchor-x402 services as agent tools. Pay-per-call USDC via x402 on Base mainnet. Works with Claude Desktop / Claude Code / Cursor / any MCP client.", "description": "An MCP server that wraps 9 anchor-x402 services into agent-callable tools. Each tool invocation deducts USDC via x402 on Base mainnet. Compatible with Claude Desktop, Claude Code, Cursor, and any MCP client.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building agentic workflows that need on-chain micropayments for specific anchor-x402 services", "useCases": [ "Call paid anchor-x402 services from an AI agent", "Integrate pay-per-call USDC billing into MCP workflows", "Prototype agentic tools with on-chain micropayments" ], "pros": [ "Simple pay-per-call model with no subscription overhead", "Works with multiple popular MCP clients out of the box", "Exposes a focused set of 9 services for targeted use" ], "cons": [ "Requires USDC on Base mainnet for each call", "Zero stars and no community traction yet", "Limited to the 9 anchor-x402 services provided" ], "tags": [ "agent-payments", "ai-agents", "anthropic", "base-mainnet", "claude", "cursor", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/hypeprinter007-stack/anchor-x402-mcp", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hypeprinter007-stack-anchor-x402-mcp" }, { "slug": "hypeprinter007-stack-signalfuse-mcp", "name": "hypeprinter007-stack/signalfuse-mcp", "vendor": "Various", "tagline": "MCP server for SignalFuse trading intelligence API", "description": "A Model Context Protocol (MCP) server that wraps the SignalFuse trading intelligence API. It enables AI agents to query trading signals and market data through the MCP interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need access to SignalFuse trading intelligence", "useCases": [ "Integrating trading intelligence into AI agents", "Querying market signals via MCP", "Building automated trading analysis workflows" ], "pros": [ "Provides a standardized MCP interface for trading data", "Written in JavaScript for easy integration with Node.js projects", "Open source and free to use" ], "cons": [ "Low community adoption (2 stars) suggests limited testing and support", "No clear single maintainer, may have inconsistent updates", "Requires access to SignalFuse API (likely paid or restricted)" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/hypeprinter007-stack/signalfuse-mcp", "relations": { "works_in": [ "cursor", "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hypeprinter007-stack-signalfuse-mcp" }, { "slug": "hyperb1iss-droidmind", "name": "hyperb1iss/droidmind", "vendor": "Various", "tagline": "Control your Android devices with AI using Model Context Protocol", "description": "Droidmind is an open-source Python tool that lets you control Android devices through the Model Context Protocol (MCP). It exposes device actions as MCP resources, allowing AI agents to interact with Android emulators or physical devices.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or automation pipelines that need to control Android devices programmatically", "useCases": [ "Automating Android app testing and UI exploration via AI agents", "Building custom assistants that can control device settings and apps", "Integrating Android device control into larger MCP-based automation workflows" ], "pros": [ "Open source with 402 stars and active development", "Uses standard MCP for interoperability with many AI frameworks", "Written in Python, easy to extend or customize" ], "cons": [ "Requires setting up an MCP host and Android Debug Bridge (ADB)", "Works best with Android 5+; older devices may lack support", "Not a standalone app – assumes familiarity with MCP and device debugging" ], "tags": [ "adb", "ai", "android", "claude", "context", "llm", "mcp", "model" ], "featured": false, "tier": "curated", "stars": 402, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-01-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/hyperb1iss/droidmind", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [ "mobile-next-mobile-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hyperb1iss-droidmind" }, { "slug": "hyperb1iss-lucidity-mcp", "name": "hyperb1iss/lucidity-mcp", "vendor": "Various", "tagline": "AI-powered code quality analysis using MCP to help AI assistants review code more effectively. Analyze git changes for complexity, security issues, and more through structured prom", "description": "Lucidity MCP is a Python tool that uses the Model Context Protocol to help AI assistants analyze code quality. It examines git changes for complexity, security issues, and other metrics through structured prompts.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to automate code quality reviews using MCP-compatible AI assistants", "useCases": [ "Reviewing pull requests for code complexity and security vulnerabilities", "Integrating AI code review into CI/CD pipelines via MCP", "Automating structured code quality checks on git diffs" ], "pros": [ "Leverages MCP for standardized AI assistant integration", "Focuses on actionable git change analysis", "Open source with 85 GitHub stars and active development" ], "cons": [ "Requires an MCP-compatible AI assistant to function", "Limited to analyzing git changes, not full codebases", "Small community and limited documentation beyond the repository" ], "tags": [ "ai-tools", "claude", "code-analysis", "code-quality", "code-review", "cursor", "developer-tools", "fastmcp" ], "featured": false, "tier": "curated", "stars": 85, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2025-03-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/hyperb1iss/lucidity-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hyperb1iss-lucidity-mcp" }, { "slug": "hypersequent-qasphere-mcp", "name": "Hypersequent/qasphere-mcp", "vendor": "Various", "tagline": "MCP Server for QA Sphere TMS", "description": "This is an MCP server that connects AI assistants to the QA Sphere test management system. It implements the Model Context Protocol to expose QA Sphere operations as tools for AI agents, enabling natural language interaction with test cases, suites, and runs.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "QA engineers who want to manage test management tasks through an AI assistant without leaving their chat interface.", "useCases": [ "Create and update test cases via chat commands", "Retrieve test run status and results through an AI assistant", "Automate test management workflows by embedding the server in MCP-compatible clients" ], "pros": [ "Straightforward integration with any MCP client (e.g., Claude, Copilot)", "Leverages the existing QA Sphere API without custom glue code", "Written in TypeScript, making it easy to extend or contribute" ], "cons": [ "Low community adoption (22 stars) means limited support and documentation", "Requires a running QA Sphere instance and appropriate API credentials", "Dependent on the MCP ecosystem which may still be evolving" ], "tags": [ "mcp", "mcp-server", "qasphere", "test-management", "test-management-tool" ], "featured": false, "tier": "curated", "stars": 22, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/Hypersequent/qasphere-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hypersequent-qasphere-mcp" }, { "slug": "hypescale-storyblok-mcp-server", "name": "hypescale/storyblok-mcp-server", "vendor": "Various", "tagline": "A TypeScript MCP server providing 160 tools for the Storyblok Management API", "description": "A TypeScript MCP server that exposes 160 tools for the Storyblok Management API. It uses the Model Context Protocol to let AI agents directly interact with Storyblok content management capabilities.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that manage content via Storyblok", "useCases": [ "Automate content creation and updates in Storyblok workflows", "Build AI assistants that query or modify Storyblok entries and assets", "Integrate Storyblok with MCP-compatible LLMs for custom content operations" ], "pros": [ "Covers 160 endpoints of the Storyblok Management API for broad functionality", "Standard MCP protocol allows easy integration with multiple AI clients", "TypeScript implementation provides type safety and clear API contracts" ], "cons": [ "Only 7 GitHub stars indicates limited adoption and testing", "Requires understanding of both Storyblok API and MCP server setup", "Vendor listed as 'Various' suggests uncertain long-term maintenance" ], "tags": [ "ai", "cms", "headless-cms", "mcp", "model-context-protocol", "server", "storyblok", "typescript" ], "featured": false, "tier": "curated", "stars": 7, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/hypescale/storyblok-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hypescale-storyblok-mcp-server" }, { "slug": "hypurrquant-perp-cli", "name": "hypurrquant/perp-cli", "vendor": "Various", "tagline": "Multi-DEX perpetual futures CLI + MCP server — Pacifica (Solana), Hyperliquid, Lighter (Ethereum). 18 MCP tools for AI-powered trading", "description": "A command-line interface and MCP server for trading perpetual futures on multiple decentralized exchanges. It provides 18 MCP tools that allow AI agents to interact with Pacifica (Solana), Hyperliquid, and Lighter (Ethereum). The project is written in TypeScript and has 29 GitHub stars.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI trading agents for Solana and Ethereum perpetuals", "useCases": [ "Automate perpetual futures trading on Hyperliquid via CLI scripts", "Integrate MCP tools into AI agents for market making on Solana", "Execute cross-DEX arbitrage strategies using the provided MCP server" ], "pros": [ "Supports three different DEXs across Solana and Ethereum", "Offers 18 MCP tools directly usable by AI agents", "Written in TypeScript for type safety and easy extension" ], "cons": [ "Low GitHub stars indicate a small user base and limited community", "Only covers three DEXs, not all major perpetual exchanges", "Requires setup of an MCP server and dependencies before use" ], "tags": [ "ai-agent", "arbitrage", "claude", "cli", "defi", "ethereum", "funding-rate", "hyperliquid" ], "featured": false, "tier": "curated", "stars": 29, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/hypurrquant/perp-cli", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hypurrquant-perp-cli" }, { "slug": "hyunjae-labs-lore", "name": "hyunjae-labs/lore", "vendor": "Various", "tagline": "Semantic search MCP server for Claude Code conversations. Hybrid vector + keyword search across all your sessions, fully local.", "description": "Lore is a local MCP server that enables semantic search across Claude Code conversations. It uses hybrid vector and keyword search to index and retrieve past sessions, keeping all data on your machine.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who frequently use Claude Code and want to search past conversations locally", "useCases": [ "Searching previous Claude Code sessions for specific technical discussions or solutions", "Finding relevant code snippets or decisions from past conversations without manual browsing", "Building a personal knowledge base from Claude Code interactions for reuse" ], "pros": [ "Fully local operation ensures privacy and offline access", "Hybrid search combines semantic understanding with exact keyword matching", "Lightweight TypeScript implementation integrates easily with MCP-compatible tools" ], "cons": [ "Limited to Claude Code conversations only, not general chat logs", "Small community and early-stage project with only 6 stars", "Requires MCP-compatible client setup, adding initial configuration overhead" ], "tags": [], "featured": false, "tier": "curated", "stars": 6, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/hyunjae-labs/lore", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hyunjae-labs-lore" }, { "slug": "i-am-bee-acp-mcp", "name": "i-am-bee/acp-mcp", "vendor": "Various", "tagline": "🐍 💬 - An MCP server acting as an adapter into the [ACP](https://agentcommunicationprotocol.dev) ecosystem. Seamlessly exposes ACP agents to MCP clients, bridging the communicatio", "description": "An MCP server that adapts ACP agents into the MCP ecosystem. It exposes ACP agents as MCP tools and resources, enabling communication between the two protocols. Built in Python with 35 GitHub stars.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to expose ACP agents to MCP clients", "useCases": [ "Exposing ACP agents to MCP-compatible clients", "Integrating ACP agents into MCP workflows", "Bridging agent communication protocols for interoperability" ], "pros": [ "Simplifies integration between ACP and MCP ecosystems", "Leverages existing ACP agents without modification", "Open source Python implementation" ], "cons": [ "Low community adoption with only 35 stars", "Limited documentation and examples available", "Requires understanding of both ACP and MCP protocols" ], "tags": [], "featured": false, "tier": "curated", "stars": 35, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2025-05-09", "addedAt": "2026-06-01", "officialLink": "https://github.com/i-am-bee/acp-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/i-am-bee-acp-mcp" }, { "slug": "i4ctime-quantum-ring", "name": "I4cTime/quantum_ring", "vendor": "Various", "tagline": "The first quantum-inspired keyring built specifically for AI coding agents. Secure secrets with superposition, entanglement, tunneling, and teleportation.", "description": "A TypeScript library that provides a keyring for managing secrets using quantum-inspired concepts such as superposition, entanglement, tunneling, and teleportation. It is designed for AI coding agents to securely store and retrieve secrets. The project is experimental with minimal adoption.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers curious about quantum-inspired cryptography for AI agent secret management", "useCases": [ "Managing API keys and tokens for AI agents", "Experimenting with quantum-inspired secret storage", "Prototyping secure key management in TypeScript projects" ], "pros": [ "Novel approach using quantum-inspired algorithms", "Written in TypeScript for type safety", "Open source and free to use" ], "cons": [ "Very early stage with only 2 GitHub stars", "Unclear real-world security guarantees", "Limited documentation and community support" ], "tags": [ "ai-agents", "claude-code", "cursor", "keyring", "mcp", "mcp-server", "secrets-management", "security" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "AGPL-3.0", "lastUpdated": "2026-04-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/I4cTime/quantum_ring", "relations": { "works_in": [ "aider", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/i4ctime-quantum-ring" }, { "slug": "iamredmh-volta-mcp-server", "name": "iamredmh/volta-mcp-server", "vendor": "Various", "tagline": "MCP server for Volta Notes — burn-after-read encrypted notes for AI agents", "description": "An MCP server that lets AI agents create and retrieve encrypted, self-destructing notes via Volta Notes. Notes are encrypted and automatically deleted after being read, providing a secure ephemeral memory layer for agent workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need ephemeral, encrypted note passing", "useCases": [ "Store temporary secrets or tokens for agent-to-agent communication", "Pass one-time instructions or credentials between AI sessions", "Log sensitive agent outputs that must not persist" ], "pros": [ "Burn-after-read design ensures data does not linger", "Encrypted notes add a security layer for sensitive content", "Simple MCP integration for existing agent toolchains" ], "cons": [ "Zero stars and no community traction yet", "Limited to Volta Notes ecosystem and its availability", "No persistence means notes are lost if not read in time" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/iamredmh/volta-mcp-server", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/iamredmh-volta-mcp-server" }, { "slug": "ianaleck-harvest-mcp-server", "name": "ianaleck/harvest-mcp-server", "vendor": "Various", "tagline": "Model Context Protocol (MCP) server for Harvest time tracking API v2. Provides 60+ tools for managing clients, projects, time entries, invoices, and reports through MCP-compatible", "description": "A Model Context Protocol (MCP) server that wraps the Harvest time tracking API v2, exposing over 60 tools for managing clients, projects, time entries, invoices, and reports. It connects to MCP-compatible applications, allowing developers to interact with Harvest data through natural language or structured commands.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants or automation workflows that need to read and write Harvest time tracking data.", "useCases": [ "Automate time entry creation and retrieval via chat interfaces", "Query project budgets and team utilization in real time", "Generate invoice summaries and client reports on demand" ], "pros": [ "Exposes a broad set of 60+ tools covering most Harvest API endpoints", "Written in TypeScript with clear MCP protocol compliance", "Lightweight server that integrates easily with existing MCP clients" ], "cons": [ "Requires a Harvest API token and account setup before use", "Limited to Harvest v2 API; no support for legacy v1 endpoints", "No built-in authentication or rate limiting beyond what Harvest provides" ], "tags": [ "harvest", "harvest-api-v2", "mcp", "model-context-protocol", "time-tracking" ], "featured": false, "tier": "curated", "stars": 5, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/ianaleck/harvest-mcp-server", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ianaleck-harvest-mcp-server" }, { "slug": "iaptic-mcp-server-iaptic", "name": "iaptic/mcp-server-iaptic", "vendor": "Various", "tagline": "Model Context Protocol server for interacting with iaptic", "description": "A Model Context Protocol server that enables AI agents to interact with iaptic, a platform for managing in-app purchases and subscriptions. It exposes iaptic's API through the MCP standard, allowing agents to query purchase data, verify receipts, and manage subscription statuses.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to manage in-app purchases and subscriptions through iaptic.", "useCases": [ "Querying customer purchase history and subscription details via natural language", "Verifying and validating in-app purchase receipts through an AI agent", "Automating subscription management tasks like cancellations or refunds" ], "pros": [ "Leverages the MCP standard for easy integration with MCP-compatible AI agents", "Written in TypeScript, providing type safety and broad ecosystem support", "Directly connects AI workflows to real-time purchase and subscription data" ], "cons": [ "Requires an iaptic account and API credentials to function", "Limited to iaptic's platform capabilities and data scope", "Small community with only 7 GitHub stars, indicating early-stage adoption" ], "tags": [], "featured": false, "tier": "curated", "stars": 7, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/iaptic/mcp-server-iaptic", "relations": { "works_in": [ "claude-code", "cursor", "cline" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/iaptic-mcp-server-iaptic" }, { "slug": "icoretech-warden-mcp", "name": "icoretech/warden-mcp", "vendor": "Various", "tagline": "🔐 Streamable HTTP + stdio MCP server for Vaultwarden/Bitwarden", "description": "An MCP server that exposes Vaultwarden and Bitwarden vault functionality via Streamable HTTP and stdio transports. Written in TypeScript, it allows AI agents and other MCP clients to read and manage credentials from a password manager.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need secure, programmatic access to password vaults", "useCases": [ "Retrieve login credentials for AI agents during automated workflows", "Manage vault items programmatically from MCP-compatible tools", "Integrate password manager access into custom developer tooling" ], "pros": [ "Supports both Streamable HTTP and stdio transport for flexible integration", "Open source with TypeScript for type safety and maintainability", "Directly interfaces with popular self-hosted Vaultwarden or Bitwarden" ], "cons": [ "Small community (4 stars) may mean limited support and slower updates", "Requires a running Vaultwarden or Bitwarden instance to function", "Exposing a password vault to AI agents introduces security considerations" ], "tags": [ "bitwarden", "mcp", "mcp-server", "model-context-protocol", "password-manager", "vaultwarden" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/icoretech/warden-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "browsermcp-mcp", "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/icoretech-warden-mcp" }, { "slug": "idapixl-algora-mcp-server", "name": "idapixl/algora-mcp-server", "vendor": "Various", "tagline": "MCP server for Algora bounty platform — lets AI agents discover, search, and analyze open-source bounties. 5 tools, no API key needed.", "description": "An MCP server that connects AI agents to the Algora bounty platform. It exposes five tools for discovering, searching, and analyzing open-source bounties without requiring an API key.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that interact with open-source bounties on the Algora platform", "useCases": [ "Letting an AI assistant find open-source bounties by query", "Searching for bounty tasks with specific criteria", "Analyzing bounty details programmatically via agent workflows" ], "pros": [ "No API key needed for access", "Five purpose-built tools cover core bounty operations", "Simple JavaScript implementation for easy integration" ], "cons": [ "Very low community adoption with only 1 star", "Limited to the Algora platform, not compatible with other bounty services", "Small toolset may lack advanced filtering or management features" ], "tags": [ "ai-agents", "algora", "bounties", "mcp", "mcp-server", "open-source", "typescript" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "JavaScript" ], "lastUpdated": "2026-03-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/idapixl/algora-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp", "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/idapixl-algora-mcp-server" }, { "slug": "idapixl-idapixl-web-research-mcp", "name": "idapixl/idapixl-web-research-mcp", "vendor": "Various", "tagline": "MCP server for AI-powered web research — search, fetch, synthesize", "description": "A Model Context Protocol (MCP) server in TypeScript that enables AI agents to perform web research tasks including searching, fetching pages, and synthesizing results. It exposes tools for querying search engines and extracting content, allowing language models to gather and process online information programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building custom AI agents that need automated web research capabilities", "useCases": [ "Integrate real-time web search into AI assistant workflows", "Retrieve and summarize content from specific URLs during agent tasks", "Combine web search results into synthesized insights for research queries" ], "pros": [ "Follows the open MCP standard for easy integration with compatible AI hosts", "Written in TypeScript, offering type safety and broad ecosystem compatibility", "Covers a complete research loop from search to fetch to synthesis" ], "cons": [ "Very early project with only 1 star and minimal community validation", "Lack of documentation or examples for setup and advanced usage", "Dependency on external search APIs may require additional keys or incur costs" ], "tags": [ "ai-agents", "apify", "mcp", "mcp-server", "typescript", "web-research" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/idapixl/idapixl-web-research-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/idapixl-idapixl-web-research-mcp" }, { "slug": "idoru-influxdb-mcp-server", "name": "idoru/influxdb-mcp-server", "vendor": "Various", "tagline": "An MCP Server for querying InfluxDB", "description": "A Model Context Protocol server for querying InfluxDB. It exposes InfluxDB query capabilities as tools for large language models using the MCP standard.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building LLM agents that need to read time-series data from InfluxDB.", "useCases": [ "Query time-series metrics from InfluxDB via natural language", "Analyze sensor or application monitoring data through an LLM interface", "Automate data retrieval workflows without writing raw Flux queries" ], "pros": [ "Simplifies InfluxDB access for LLM-based tools and agents", "Built on the MCP standard for interoperability", "Lightweight JavaScript implementation" ], "cons": [ "Limited to querying (no write or administrative operations)", "Requires separate InfluxDB setup and authentication", "Relatively small community and few stars for support" ], "tags": [], "featured": false, "tier": "curated", "stars": 39, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-01-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/idoru/influxdb-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "netdata-netdata-netdata" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/idoru-influxdb-mcp-server" }, { "slug": "idosal-git-mcp", "name": "idosal/git-mcp", "vendor": "Various", "tagline": "Put an end to code hallucinations! GitMCP is a free, open-source, remote MCP server for any GitHub project", "description": "GitMCP is a free, open-source remote MCP server for any GitHub project. It exposes repository structure, file contents, and commit history to MCP-compatible clients, enabling agents to retrieve real code instead of hallucinating. The server runs on TypeScript and is installed via npm.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to ground AI coding agents in real GitHub codebases", "useCases": [ "Feed an AI coding assistant the actual source tree and file contents of a GitHub repo", "Let an agent browse commit history and diffs to understand project evolution", "Ground code generation in real repository data to reduce hallucinations" ], "pros": [ "Open source and free with no usage limits", "Works with any public GitHub project without per-repo configuration", "Simple npm install and run setup" ], "cons": [ "Requires a running server instance for each session", "Only supports public repositories out of the box", "Dependent on GitHub API rate limits for large repos" ], "tags": [ "agentic-ai", "agents", "ai", "claude", "copilot", "cursor", "git", "llm" ], "featured": false, "tier": "curated", "stars": 8121, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-05-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/idosal/git-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "browsermcp-mcp", "agent-infra-mcp-server-browser" ], "alternative_to": [ "shashankss1205-codegraphcontext" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/idosal-git-mcp" }, { "slug": "ignaciohermosillacornejo-copilot-money-mcp", "name": "ignaciohermosillacornejo/copilot-money-mcp", "vendor": "Various", "tagline": "MCP server for Copilot Money App - AI powered personal finance queries using local data", "description": "An MCP server that enables AI assistants to query personal finance data from the Copilot Money app using local data. It implements the Model Context Protocol to provide structured access to spending, budgets, and account information. Built in TypeScript, it runs locally to keep financial data private.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need private access to Copilot Money personal finance data", "useCases": [ "Ask an AI assistant for a monthly spending breakdown from Copilot Money", "Retrieve budget category balances and transaction history via natural language", "Integrate personal finance data into custom AI workflows or dashboards" ], "pros": [ "Keeps financial data local, enhancing privacy", "Open source with a straightforward TypeScript codebase", "Works with any MCP-compatible AI client" ], "cons": [ "Requires the Copilot Money app and its local data store", "Small community (50 stars) may mean limited support or updates", "Only supports queries from Copilot Money, not other finance apps" ], "tags": [ "bun", "copilot-money", "leveldb", "mcp", "personal-finance", "typescript" ], "featured": false, "tier": "curated", "stars": 50, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/ignaciohermosillacornejo/copilot-money-mcp", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ignaciohermosillacornejo-copilot-money-mcp" }, { "slug": "igorganapolsky-mcp-memory-gateway", "name": "IgorGanapolsky/mcp-memory-gateway", "vendor": "Various", "tagline": "Agent governance for ThumbGate: 👍/👎 become Pre-Action Checks that block repeat mistakes before code, money, or customer systems change.", "description": "A lightweight governance layer for AI agents that converts thumbs-up and thumbs-down feedback into pre-action checks. It blocks repeated mistakes before changes affect code, financial transactions, or customer systems.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a straightforward, memory-based guardrail for agent actions without complex policy engines", "useCases": [ "Prevent an agent from repeating a costly IaaS misconfiguration", "Enforce approval patterns for automated code deployments", "Build a feedback loop that stops unwanted customer data updates" ], "pros": [ "Simple thumbs-up/down interface reduces governance overhead", "Open source with clear JavaScript implementation", "Prevents recurrent errors without modifying the underlying agent" ], "cons": [ "Feedback granularity is limited to binary approvals", "Requires integration with a ThumbGate-compatible agent runtime", "Small community (21 stars) may mean fewer shared patterns" ], "tags": [ "agent-reliability", "ai-agents", "ai-cost-optimization", "ai-safety", "amp", "claude-code", "codex", "cursor" ], "featured": false, "tier": "curated", "stars": 21, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/IgorGanapolsky/mcp-memory-gateway", "relations": { "works_in": [ "claude-code", "cline", "cursor", "aider" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/igorganapolsky-mcp-memory-gateway" }, { "slug": "igorganapolsky-thumbgate", "name": "IgorGanapolsky/ThumbGate", "vendor": "Various", "tagline": "Agent governance for ThumbGate: 👍/👎 become Pre-Action Checks that block repeat mistakes before code, money, or customer systems change.", "description": "ThumbGate is a JavaScript tool that uses thumbs up and thumbs down as pre-action checks to block repeated mistakes before code, money, or customer system changes. It applies agent governance by capturing past feedback and preventing similar errors from occurring again.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Teams using agent-driven workflows who want to prevent repeat mistakes with minimal friction", "useCases": [ "Preventing repeated deployment failures by applying thumbs-down checks", "Enforcing approval gates for automated code changes", "Blocking costly rollbacks by capturing past mistakes as pre-action checks" ], "pros": [ "Lightweight and simple to integrate into agent workflows", "Directly addresses the common problem of repeat errors", "Minimal overhead with a clear binary feedback mechanism" ], "cons": [ "Limited to binary thumbs up/down, lacking nuanced policy support", "Relies on consistent manual feedback which may not scale", "Not suited for complex or multi-step governance requirements" ], "tags": [ "agent-reliability", "ai-agents", "ai-cost-optimization", "ai-safety", "amp", "claude-code", "codex", "cursor" ], "featured": false, "tier": "curated", "stars": 21, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/IgorGanapolsky/ThumbGate", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/igorganapolsky-thumbgate" }, { "slug": "ihor-sokoliuk-mcp-searxng", "name": "Ihor-Sokoliuk/MCP-SearXNG", "vendor": "Various", "tagline": "MCP Server for SearXNG", "description": "An MCP (Model Context Protocol) server that connects AI agents to SearXNG, a self-hosted metasearch engine. It enables AI tools to perform web searches through SearXNG, returning aggregated results from multiple search sources. Built in TypeScript, it provides a standardized interface for AI models to query the web without relying on proprietary search APIs.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need private, self-hosted web search without relying on third-party APIs", "useCases": [ "Integrate privacy-focused web search into AI assistants or chatbots", "Enable AI agents to retrieve real-time information from multiple search engines via a single endpoint", "Build custom search workflows for AI tools using a self-hosted SearXNG instance" ], "pros": [ "Open source and self-hosted, giving full control over search privacy and data", "Well-maintained with 836 GitHub stars and active community", "Written in TypeScript, offering type safety and easy integration with Node.js projects" ], "cons": [ "Requires a running SearXNG instance, adding setup and maintenance overhead", "Search quality depends on SearXNG configuration and upstream search engines", "Limited to SearXNG's capabilities; no direct access to proprietary search APIs" ], "tags": [ "ai", "llm", "llm-agent", "mcp", "mcp-server", "mcp-servers", "mcp-tools", "search" ], "featured": false, "tier": "curated", "stars": 836, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/ihor-sokoliuk/mcp-searxng", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "exa-labs-exa-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ihor-sokoliuk-mcp-searxng" }, { "slug": "iiatlas-hledger-mcp", "name": "@iiatlas/hledger-mcp", "vendor": "Various", "tagline": "A local MCP server for interacting with the HLedger cli", "description": "@iiatlas/hledger-mcp is a local MCP server that bridges AI assistants with the HLedger command-line accounting tool. It translates natural language requests into HLedger CLI commands and returns structured results. Built in TypeScript, it runs on the user's machine and requires a local HLedger installation.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and small business owners who use HLedger and want to query accounting data through AI assistants", "useCases": [ "Query financial transactions from HLedger using natural language prompts", "Automate accounting tasks by integrating HLedger with MCP-compatible AI clients", "Generate reports or summaries of HLedger data without writing raw CLI commands" ], "pros": [ "Enables conversational access to HLedger data without leaving the assistant", "Open source and self-hosted, keeping financial data local", "Leverages existing HLedger setups with no data migration needed" ], "cons": [ "Requires running HLedger and the MCP server locally, adding setup overhead", "Limited to HLedger's capabilities and data model", "Small community (56 stars) means less support and fewer contributions" ], "tags": [ "hledger", "mcp", "plaintext-accounting" ], "featured": false, "tier": "curated", "stars": 56, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-02-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/iiAtlas/hledger-mcp", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/iiatlas-hledger-mcp" }, { "slug": "iletimerkezi-iletimerkezi-mcp-server", "name": "iletimerkezi/iletimerkezi-mcp-server", "vendor": "Various", "tagline": "iletiMerkezi MCP Server", "description": "An open-source MCP server for integrating iletiMerkezi's SMS/messaging services into MCP-compatible AI assistants. Built with TypeScript, it provides a standardized interface for sending messages and managing communications programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers integrating iletiMerkezi SMS into MCP-based AI workflows", "useCases": [ "Connecting iletiMerkezi SMS with AI agents for automated notifications", "Triggering message sends from MCP-enabled development workflows", "Managing iletiMerkezi contact lists and message history via AI tools" ], "pros": [ "Written in TypeScript with clean module structure", "Follows the MCP specification for easy integration with compatible hosts", "Open source with MIT license, freely modifiable" ], "cons": [ "Very few stars and minimal community adoption (1 star)", "No documented release history or changelog", "Limited to iletiMerkezi service, not a general-purpose messaging tool" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/iletimerkezi/iletimerkezi-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "lharries-whatsapp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/iletimerkezi-iletimerkezi-mcp-server" }, { "slug": "ikoskela-wisepanel-mcp", "name": "ikoskela/wisepanel-mcp", "vendor": "Various", "tagline": "MCP server for Wisepanel multi-agent deliberation platform", "description": "An MCP server that connects to the Wisepanel multi-agent deliberation platform, enabling orchestration of multiple AI agents for collaborative reasoning and decision-making. Built in TypeScript, it provides a standardized interface for managing agent workflows via the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with multi-agent deliberation and MCP-based orchestration", "useCases": [ "Integrating Wisepanel agent deliberation into MCP-compatible IDEs and tools", "Orchestrating multi-agent debates or consensus-building processes", "Automating structured reasoning pipelines with agent collaboration" ], "pros": [ "TypeScript codebase is easy to integrate into existing JS/TS toolchains", "Leverages MCP standard for broad compatibility with editors and frameworks", "Enables coordinated multi-agent reasoning without manual wiring" ], "cons": [ "Very early stage with only 1 star and minimal community usage", "Dependent on Wisepanel platform availability and documentation", "Limited documentation and no evidence of production readiness" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/ikoskela/wisepanel-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp", "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ikoskela-wisepanel-mcp" }, { "slug": "ilyagulya-gradle-mcp-server", "name": "IlyaGulya/gradle-mcp-server", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server to enable AI tools to interact with Gradle projects programmatically.", "description": "A Model Context Protocol (MCP) server that allows AI tools to interact with Gradle projects programmatically. It provides a standardized interface for reading build configurations, running tasks, and querying dependencies.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using MCP-based AI assistants who need programmatic access to Gradle projects.", "useCases": [ "Interrogate Gradle build files and project structure from an AI assistant", "Execute Gradle tasks (e.g., compile, test) via MCP-compatible clients", "Retrieve dependency graphs or version information for code analysis" ], "pros": [ "Adheres to the MCP standard for tool interoperability", "Lightweight and open source (Kotlin, 44 stars on GitHub)", "Enables AI-driven automation of common Gradle workflows" ], "cons": [ "Small community and limited track record (44 stars)", "Requires an MCP-compatible client to function", "May not cover all Gradle plugin or edge-case scenarios" ], "tags": [], "featured": false, "tier": "curated", "stars": 44, "language": [ "Kotlin" ], "license": "MIT", "lastUpdated": "2026-03-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/IlyaGulya/gradle-mcp-server", "relations": { "works_in": [ "cursor", "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ilyagulya-gradle-mcp-server" }, { "slug": "imdinu-apple-mail-mcp", "name": "imdinu/apple-mail-mcp", "vendor": "Various", "tagline": "Apple Mail MCP server with full-coverage FTS5 body search. Reliable on large mailboxes where AppleScript-based servers timeout.", "description": "An MCP server for Apple Mail that provides full-coverage FTS5 body search over local mailboxes. It is designed to handle large mailboxes reliably, avoiding timeouts common with AppleScript-based alternatives.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need programmatic, searchable access to local Apple Mail data", "useCases": [ "Search email bodies with full-text queries", "Automate reading and retrieving messages from Apple Mail", "Integrate Apple Mail data into AI workflows or tools" ], "pros": [ "Performs fast, robust full-text search using FTS5", "Reliable on large mailboxes where AppleScript-based servers fail", "Open source and written in Python for easy customization" ], "cons": [ "Only works on macOS with Apple Mail installed", "Requires local Apple Mail access, no cloud integration", "Limited community support with only 31 GitHub stars" ], "tags": [ "apple-mail", "automation", "claude", "email", "fts5", "jxa", "macos", "mcp" ], "featured": false, "tier": "curated", "stars": 31, "language": [ "Python" ], "license": "GPL-3.0", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/imdinu/apple-mail-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "elie222-inbox-zero" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/imdinu-apple-mail-mcp" }, { "slug": "imatza-rh-mcp-zuul", "name": "imatza-rh/mcp-zuul", "vendor": "Various", "tagline": "MCP server for Zuul CI — read-only access to builds, logs, status, and jobs", "description": "imatza-rh/mcp-zuul is a read-only MCP server that connects to Zuul CI instances. It exposes builds, logs, status, and job data through the Model Context Protocol for use by AI assistants and tooling.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and DevOps teams who want to query Zuul CI build data through AI assistants or automated tooling", "useCases": [ "Query build status and job results from Zuul CI", "Retrieve logs and artifacts for debugging pipeline failures", "Integrate Zuul CI data into AI-driven developer workflows" ], "pros": [ "Lightweight Python server with minimal dependencies", "Provides structured access to Zuul CI without direct API calls", "Enables AI assistants to answer CI questions in context" ], "cons": [ "Read-only access limits use to monitoring and analysis only", "Small community with only 6 stars and limited documentation", "Requires a running Zuul CI instance and network access" ], "tags": [], "featured": false, "tier": "curated", "stars": 6, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-05-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/imatza-rh/mcp-zuul", "relations": { "works_in": [ "cline", "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/imatza-rh-mcp-zuul" }, { "slug": "imprvhub-mcp-browser-agent", "name": "imprvhub/mcp-browser-agent", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) integration that provides Claude Desktop with autonomous browser automation capabilities. This agent enables Claude to interact with web content, man", "description": "An MCP integration that gives Claude Desktop autonomous browser automation. It lets Claude interact with web content, manipulate DOM elements, execute JavaScript, and perform API requests.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to extend Claude Desktop with browser automation for testing or scraping workflows", "useCases": [ "Automate web scraping and data extraction tasks", "Run end-to-end browser tests via Claude", "Perform dynamic web interactions like form filling and navigation" ], "pros": [ "Enables direct browser control from Claude without manual steps", "Supports DOM manipulation and JavaScript execution for complex tasks", "Open source with TypeScript for easy customization" ], "cons": [ "Limited to Claude Desktop; not a standalone browser agent", "Small community (39 stars) may mean fewer examples or support", "Requires MCP setup and configuration to use" ], "tags": [ "ai", "ai-agent", "ai-agents", "aiagent", "aiagents", "automation", "browser", "chrome" ], "featured": false, "tier": "curated", "stars": 39, "language": [ "TypeScript" ], "license": "MPL-2.0", "lastUpdated": "2026-02-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/imprvhub/mcp-browser-agent", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "browsermcp-mcp", "executeautomation-playwright-mcp-server", "agent-infra-mcp-server-browser" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/imprvhub-mcp-browser-agent" }, { "slug": "imprvhub-mcp-claude-spotify", "name": "imprvhub/mcp-claude-spotify", "vendor": "Various", "tagline": "An integration that allows Claude Desktop to interact with Spotify using the Model Context Protocol (MCP).", "description": "An integration that allows Claude Desktop to interact with Spotify using the Model Context Protocol (MCP). It is built in TypeScript and enables Claude to control playback, search tracks, and manage playlists through Spotify's API.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to control Spotify from Claude Desktop using natural language commands", "useCases": [ "Control Spotify playback from Claude Desktop conversations", "Search for tracks, albums, or artists via natural language", "Manage playlists and queue songs programmatically" ], "pros": [ "Enables direct music control within Claude Desktop without switching apps", "Leverages MCP for standardized tool integration", "Open source with TypeScript for easy customization" ], "cons": [ "Requires Spotify Premium account for full playback control", "Limited to Claude Desktop; not a standalone tool", "Small community with only 37 stars, so support may be limited" ], "tags": [ "ai", "claude", "claude-ai", "claude-desktop", "mcp", "mcp-claude", "mcp-server", "mcp-spotify" ], "featured": false, "tier": "curated", "stars": 37, "language": [ "TypeScript" ], "license": "MPL-2.0", "lastUpdated": "2026-04-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/imprvhub/mcp-claude-spotify", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "klavis-ai-youtube" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/imprvhub-mcp-claude-spotify" }, { "slug": "imprvhub-mcp-claude-hackernews", "name": "imprvhub/mcp-claude-hackernews", "vendor": "Various", "tagline": "An integration that allows Claude Desktop to interact with Hacker News using the Model Context Protocol (MCP).", "description": "This MCP server exposes Hacker News API endpoints as tools for Claude Desktop. It allows Claude to fetch top stories, search posts, and read comments directly within the chat interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to query Hacker News directly from Claude Desktop", "useCases": [ "Fetch top stories from Hacker News", "Search for posts by keyword", "Read comments on a specific story" ], "pros": [ "Small TypeScript codebase that is easy to inspect and modify", "Leverages the standard MCP protocol for seamless integration with Claude Desktop", "Simple setup with minimal dependencies" ], "cons": [ "Limited to Hacker News data only", "Requires Claude Desktop to function", "Low community adoption with only 10 GitHub stars" ], "tags": [ "ai", "anthropic", "api", "claude", "claude-desktop", "hacker-news", "hackernews", "hackernews-api" ], "featured": false, "tier": "curated", "stars": 10, "language": [ "TypeScript" ], "license": "MPL-2.0", "lastUpdated": "2026-02-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/imprvhub/mcp-claude-hackernews", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/imprvhub-mcp-claude-hackernews" }, { "slug": "imprvhub-mcp-domain-availability", "name": "imprvhub/mcp-domain-availability", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server that enables Claude Desktop to check domain availability across 50+ TLDs. Features DNS/WHOIS verification, bulk checking, and smart suggestion", "description": "A Python-based Model Context Protocol server that integrates with Claude Desktop to check domain name availability across over 50 TLDs. It performs DNS and WHOIS verification, supports bulk checking, and provides smart suggestions. Installation requires no cloning, using uvx for zero-clone setup.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude Desktop who need quick domain availability checks during brainstorming or project setup", "useCases": [ "Check domain availability for multiple TLDs quickly", "Bulk validate domain names during brainstorming sessions", "Integrate domain availability checks into Claude Desktop workflows" ], "pros": [ "Supports over 50 TLDs with DNS and WHOIS verification", "Bulk checking capability saves time", "Zero-clone installation via uvx simplifies setup" ], "cons": [ "Tied to Claude Desktop and MCP environment", "Small community with 50 stars may limit support", "Requires Python and uvx, adding a dependency" ], "tags": [ "ai-tools", "anthropic", "claude", "claude-ai", "claude-desktop", "dns", "domain-availability", "domain-availability-checker" ], "featured": false, "tier": "curated", "stars": 50, "language": [ "Python" ], "license": "MPL-2.0", "lastUpdated": "2025-10-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/imprvhub/mcp-domain-availability", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/imprvhub-mcp-domain-availability" }, { "slug": "imprvhub-mcp-status-observer", "name": "imprvhub/mcp-status-observer", "vendor": "Various", "tagline": "Model Context Protocol server for monitoring Operational Status of major digital platforms in Claude Desktop.", "description": "This MCP server enables Claude Desktop to check the operational status of major digital platforms. It uses the Model Context Protocol to fetch and present current service status data.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude Desktop who need quick status checks on common cloud services", "useCases": [ "Monitoring service uptime during development", "Troubleshooting outages without leaving the chat", "Automating status checks in workflows" ], "pros": [ "Open source and free to use", "Integrates directly into Claude Desktop via MCP", "Simple codebase in TypeScript" ], "cons": [ "Only works within Claude Desktop environments", "Platform coverage may be limited", "Low community activity and small user base" ], "tags": [ "ai", "claude", "claude-ai", "claude-desktop", "mcp", "model-context-protocol", "model-context-protocol-server", "modelcontextprotocol" ], "featured": false, "tier": "curated", "stars": 7, "language": [ "TypeScript" ], "license": "MPL-2.0", "lastUpdated": "2026-04-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/imprvhub/mcp-status-observer", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "browsermcp-mcp", "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/imprvhub-mcp-status-observer" }, { "slug": "imran-siddique-agentos-mcp-server", "name": "imran-siddique/agentos-mcp-server", "vendor": "Various", "tagline": "[DEPRECATED] Moved to microsoft/agent-governance-toolkit", "description": "This repository is deprecated and has been moved to microsoft/agent-governance-toolkit. It previously provided an MCP (Model Context Protocol) server for governing agent behaviors and policies in Python-based agent systems.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers evaluating agent governance patterns who should use the microsoft/agent-governance-toolkit instead.", "useCases": [ "Implementing policy enforcement for autonomous agents", "Managing agent permissions and constraints via MCP", "Integrating governance into existing agent frameworks" ], "pros": [ "Offered a structured approach to agent governance", "Built on the MCP standard for interoperability" ], "cons": [ "No longer maintained or updated", "Users must migrate to the successor repository", "Limited community size with 70 stars" ], "tags": [ "agent-framework", "agent-governance", "agent-security", "ai-agents", "ai-governance", "ai-safety", "autogen", "autonomous-agents" ], "featured": false, "tier": "curated", "stars": 70, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-03", "addedAt": "2026-06-01", "officialLink": "https://github.com/imran-siddique/agent-os/tree/master/extensions/mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/imran-siddique-agentos-mcp-server" }, { "slug": "imprvhub-mcp-rss-aggregator", "name": "imprvhub/mcp-rss-aggregator", "vendor": "Various", "tagline": "Model Context Protocol Server for aggregating RSS feeds in Claude Desktop", "description": "imprvhub/mcp-rss-aggregator is a Model Context Protocol (MCP) server that enables RSS feed aggregation within Claude Desktop. Built in TypeScript, it allows Claude to fetch, parse, and present content from multiple RSS feeds on demand.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to consume RSS feeds directly inside Claude Desktop for real-time information retrieval", "useCases": [ "Fetching and summarizing recent articles from a personal RSS reader", "Monitoring multiple blogs or news sources for updates via Claude", "Integrating live RSS data into AI-driven workflows inside Claude Desktop" ], "pros": [ "Open source and customizable with TypeScript", "Directly integrates with Claude Desktop via the MCP standard", "Lightweight and focused on a single, useful function" ], "cons": [ "Limited star count (25) indicates early stage and possible lack of community support", "Requires running a local MCP server, adding setup overhead", "May have limited support for non-standard RSS formats or authentication" ], "tags": [ "ai", "claude", "claude-ai", "claude-desktop", "mcp", "model-context-protocol", "model-context-protocol-server", "rss" ], "featured": false, "tier": "curated", "stars": 25, "language": [ "TypeScript" ], "license": "MPL-2.0", "lastUpdated": "2026-03-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/imprvhub/mcp-rss-aggregator", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/imprvhub-mcp-rss-aggregator" }, { "slug": "incentivai-quickchat-ai-mcp", "name": "incentivai/quickchat-ai-mcp", "vendor": "Various", "tagline": "The Quickchat AI MCP server", "description": "A Python implementation of the Model Context Protocol (MCP) server for Quickchat AI. It enables AI agents to communicate with Quickchat AI services using the MCP standard.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-compatible AI agents that need Quickchat AI integration", "useCases": [ "Connecting AI agents to Quickchat AI through MCP", "Exposing Quickchat AI capabilities as MCP tools", "Developing MCP-based applications with Quickchat AI backend" ], "pros": [ "Open source and free to use", "Written in Python, easy to integrate into Python projects", "Implements the MCP standard for interoperability" ], "cons": [ "Limited community adoption (23 stars)", "Requires understanding of MCP protocol", "May lack extensive documentation or support" ], "tags": [], "featured": false, "tier": "curated", "stars": 23, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/incentivai/quickchat-ai-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "awslabs-mcp", "fastmcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/incentivai-quickchat-ai-mcp" }, { "slug": "incu6us-loki-mcp-server", "name": "incu6us/loki-mcp-server", "vendor": "Various", "tagline": "An MCP server for querying Grafana Loki directly with a discovery-first workflow — labels, values, series, and LogQL queries without requiring Grafana.", "description": "An MCP server that queries Grafana Loki directly. It supports discovering labels, values, series, and running LogQL queries without requiring a Grafana instance.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using MCP-based AI tools who need direct, code-driven access to Loki logs", "useCases": [ "Explore Loki labels and values during incident investigation", "Run LogQL queries programmatically from an MCP client", "Integrate Loki log data into an AI assistant's context for debugging" ], "pros": [ "Works without Grafana, reducing external dependencies", "Written in Go for efficient execution", "Follows the MCP standard for easy integration with compatible clients" ], "cons": [ "Low star count (3) indicates early-stage or limited adoption", "Requires an MCP-enabled client, narrowing the audience", "No built-in visualization; results are text-only" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-03-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/incu6us/loki-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "netdata-netdata-netdata" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/incu6us-loki-mcp-server" }, { "slug": "inditextech-mcp-teams-server", "name": "InditexTech/mcp-teams-server", "vendor": "Various", "tagline": "An MCP (Model Context Protocol) server implementation for Microsoft Teams integration, providing capabilities to read messages, create messages, reply to messages, mention members.", "description": "This is an open-source Python implementation of the Model Context Protocol (MCP) server for Microsoft Teams. It allows AI agents to read, create, and reply to messages with member mentions. The project has 376 stars on GitHub.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to interact with Microsoft Teams", "useCases": [ "Enable AI assistants to monitor and respond in Teams channels", "Automate message sending and replies in Teams", "Integrate custom AI workflows with Teams using the MCP standard" ], "pros": [ "Uses the standardized MCP protocol for interoperability with various AI agents", "Written in Python, making it easy to integrate into Python-based projects", "Supports core Teams messaging operations including reading, creating, replying, and mentioning members" ], "cons": [ "Requires Microsoft Graph API permissions and authentication setup", "Limited to basic message operations without support for files or channel management", "Relies on the MCP ecosystem which is still evolving" ], "tags": [ "inditex", "mcp", "mcp-server", "msteams" ], "featured": false, "tier": "curated", "stars": 376, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-05-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/InditexTech/mcp-teams-server", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/inditextech-mcp-teams-server" }, { "slug": "infaton-mcp35", "name": "infaton/MCP35", "vendor": "Various", "tagline": "INFATON MCP Server — 35 tools for 1C:Enterprise ERP via Model Context Protocol (JSON-RPC 2.0). Digital twins, AI agents, BSL.", "description": "INFATON MCP Server exposes 35 tools for 1C:Enterprise ERP through the Model Context Protocol (JSON-RPC 2.0). It enables digital twins, AI agents, and BSL scripting by bridging external AI clients with 1C systems.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers integrating AI agents or digital twins with 1C:Enterprise ERP systems", "useCases": [ "Connect AI agents to 1C:Enterprise ERP for automated data retrieval", "Build digital twin simulations using 1C business logic", "Execute BSL scripts remotely via MCP-compatible clients" ], "pros": [ "Provides a large set of 35 tools for deep 1C integration", "Uses standard JSON-RPC 2.0 for broad client compatibility", "Open source with active community (16 stars)" ], "cons": [ "Limited to 1C:Enterprise ecosystem, not general-purpose", "Small community and few stars indicate early-stage adoption", "Requires familiarity with 1C and BSL to use effectively" ], "tags": [ "1c", "1c-enterprise", "ai-agent", "bsl", "digital-twin", "erp", "json-rpc", "mcp" ], "featured": false, "tier": "curated", "stars": 16, "language": [ "1C Enterprise" ], "license": "MIT", "lastUpdated": "2026-05-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/infaton/MCP35", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "awslabs-mcp", "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/infaton-mcp35" }, { "slug": "indigoprotocol-indigo-mcp", "name": "IndigoProtocol/indigo-mcp", "vendor": "Various", "tagline": "MCP for connecting LLMs to Indigo Protocol data", "description": "An MCP server that exposes Indigo Protocol data to large language models via the Model Context Protocol. It enables LLM agents to query structured on-chain data from the Indigo DeFi ecosystem.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building LLM tools that need live data from the Indigo Protocol ecosystem", "useCases": [ "Retrieve real-time Indigo Protocol market metrics and user positions", "Integrate Indigo data into AI assistants for DeFi analytics", "Automate portfolio queries across Indigo's synthetic assets" ], "pros": [ "Open source TypeScript implementation with a clear MCP interface", "Low barrier to integrate with any MCP-compatible LLM client", "Direct access to Indigo Protocol's defined data surfaces" ], "cons": [ "Very low GitHub star count (3) suggests early stage or limited adoption", "Documentation and community support may be sparse", "Dependent on Indigo Protocol's API availability and data schema" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/IndigoProtocol/indigo-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/indigoprotocol-indigo-mcp" }, { "slug": "inditextech-mcp-server-simulator-ios-idb", "name": "InditexTech/mcp-server-simulator-ios-idb", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server that enables LLMs to interact with iOS simulators through natural language commands.", "description": "This MCP server lets LLMs control iOS simulators using natural language commands. It relies on idb (iOS Device Bridge) to execute actions on simulators. The server follows the Model Context Protocol for standardized tool integration.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building LLM-based testing or automation for iOS apps", "useCases": [ "Automating iOS simulator workflows through chat interfaces", "Running app tests by describing steps in natural language", "Integrating LLM-driven simulator control into CI/CD pipelines" ], "pros": [ "Open source with 307 stars on GitHub", "Leverages the MCP standard for consistent LLM-tool communication", "Written in TypeScript for type safety and maintainability" ], "cons": [ "Requires a working iOS simulator and idb setup", "Limited to iOS simulators, not physical devices", "Depends on MCP client support for integration" ], "tags": [ "claude", "cline", "ios", "macos", "mcp", "typescript" ], "featured": false, "tier": "curated", "stars": 307, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-01-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/InditexTech/mcp-server-simulator-ios-idb", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mobile-next-mobile-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/inditextech-mcp-server-simulator-ios-idb" }, { "slug": "inference-sh", "name": "inference.sh", "vendor": "ac.inference.sh", "tagline": "Run 150+ AI apps — image, video, audio, LLMs, 3D and more. Browse, execute, stream results.", "description": "inference.sh is a web platform that lets developers run over 150 AI models for image, video, audio, LLM, and 3D tasks. Users browse available apps, execute them in the browser, and stream results directly.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a quick, browser-based sandbox to test and compare AI models across different tasks.", "useCases": [ "Quickly test and compare different AI models without local setup", "Generate images, videos, or audio from prompts in a browser", "Stream LLM outputs for prototyping or experimentation" ], "pros": [ "Broad model selection covering multiple modalities", "No installation or GPU required, runs entirely in browser", "Streaming results for real-time feedback" ], "cons": [ "Dependent on internet connection and server availability", "Limited control over model parameters or fine-tuning", "May have usage limits or latency for large outputs" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://sh.inference.ac", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "open-webui" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/inference-sh" }, { "slug": "influxdata-influxdb3-mcp-server", "name": "InfluxData/influxdb3_mcp_server", "vendor": "Various", "tagline": "MCP Server for InfluxDB 3", "description": "An MCP server that enables AI agents to interact with InfluxDB 3 time-series databases. It implements the Model Context Protocol to allow tools like Claude to query, write, and manage time-series data through natural language or structured commands.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or assistants that need to query and manage time-series data in InfluxDB 3", "useCases": [ "Querying time-series metrics from InfluxDB 3 using natural language", "Writing sensor or application data into InfluxDB 3 via an AI assistant", "Managing InfluxDB 3 buckets and schemas through conversational interfaces" ], "pros": [ "Official integration from InfluxData, ensuring compatibility with InfluxDB 3", "Leverages the standard MCP protocol for broad AI tool interoperability", "Written in TypeScript, making it easy to extend or debug for Node.js developers" ], "cons": [ "Low GitHub stars (32) indicate early stage and limited community adoption", "Requires a running InfluxDB 3 instance, adding infrastructure overhead", "Documentation and examples are sparse, increasing setup effort" ], "tags": [], "featured": false, "tier": "curated", "stars": 32, "language": [ "TypeScript" ], "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/influxdata/influxdb3_mcp_server", "relations": { "works_in": [ "claude-code", "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/influxdata-influxdb3-mcp-server" }, { "slug": "infobip-mcp", "name": "Infobip/mcp", "vendor": "Various", "tagline": "Infobip Remote MCP Servers Documentation", "description": "A GitHub repository hosting documentation for Infobip's remote MCP servers. It provides guidance on setting up and using the Message Control Protocol (MCP) within Infobip's communication infrastructure.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building applications on Infobip's communication platform that require MCP server integration.", "useCases": [ "Integrating Infobip's remote MCP servers into existing systems", "Referencing documentation for MCP protocol implementation", "Learning how to configure and manage MCP-based communication flows" ], "pros": [ "Official documentation from Infobip for their MCP offering", "Open source repository allowing community contributions and transparency", "Relatively new with 31 stars, indicating active development and early adopters" ], "cons": [ "Limited to Infobip's specific MCP implementation, not a general-purpose tool", "Documentation may be sparse or incomplete given low star count and early stage", "No indication of broad community adoption or third-party support" ], "tags": [], "featured": false, "tier": "curated", "stars": 31, "language": [], "license": "MIT", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/infobip/mcp", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/infobip-mcp" }, { "slug": "ingero-io-ingero", "name": "ingero-io/ingero", "vendor": "Various", "tagline": "eBPF agent and MCP server for GPU causal observability", "description": "Ingero is an eBPF agent and MCP server that provides causal observability for GPU workloads. It uses eBPF to trace GPU operations and correlate them with system events, enabling root-cause analysis of performance issues.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers debugging GPU performance issues in Linux-based AI/ML environments", "useCases": [ "Debugging GPU performance bottlenecks in AI training pipelines", "Tracing GPU memory access patterns for optimization", "Correlating GPU events with CPU-side system calls for root-cause analysis" ], "pros": [ "Low-overhead tracing via eBPF without modifying application code", "Causal correlation between GPU and system events simplifies debugging", "Open-source and written in C for performance" ], "cons": [ "Limited to Linux systems with eBPF support", "Small community and early-stage project with 85 GitHub stars", "Requires understanding of eBPF and GPU internals to interpret traces" ], "tags": [ "causal-tracing", "cuda", "cuda-graphs", "ebpf", "gpu", "gpu-monitoring", "gpu-observability", "incident-response" ], "featured": false, "tier": "curated", "stars": 85, "language": [ "C" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/ingero-io/ingero", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "netdata-netdata-netdata" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ingero-io-ingero" }, { "slug": "inkbytefo-screenmonitormcp", "name": "inkbytefo/screenmonitormcp", "vendor": "Various", "tagline": "🐍 🏠 🍎 🪟 🐧 - Real-time screen analysis, context-aware recording, and UI monitoring MCP server. Supports AI vision, event hooks, and multimodal agent workflows.", "description": "This MCP server offers real-time screen analysis, context-aware recording, and UI monitoring. It leverages AI vision and event hooks to feed screen data into multimodal agent workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building screen-aware AI agents and automation pipelines", "useCases": [ "Extracting live screen content for automation scripts", "Monitoring UI element changes for testing or triggers", "Feeding screen observations to a multimodal AI assistant" ], "pros": [ "Open-source and cross-platform (macOS, Windows, Linux)", "Integrates seamlessly into the MCP ecosystem", "Supports event-driven screen capture via hooks" ], "cons": [ "Requires manual setup and configuration for each environment", "Performance overhead from continuous screen polling", "No commercial support; reliance on community maintenance" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/inkbytefo/screenmonitormcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "mediar-ai-screenpipe" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/inkbytefo-screenmonitormcp" }, { "slug": "inhiblabcore-mcp-image-compression", "name": "InhiblabCore/mcp-image-compression", "vendor": "Various", "tagline": "A high-performance image compression microservice based on MCP (Modal Context Protocol)", "description": "InhiblabCore/mcp-image-compression is a TypeScript microservice that compresses images using the Modal Context Protocol. It provides an efficient way to reduce image file sizes for applications that need to handle images within modal or context-driven workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based applications that need fast image compression", "useCases": [ "Reducing image payload size in modal or context-based UI components", "Batch compressing images before uploading to a server or cloud storage", "Integrating compression into a toolchain that uses MCP for image processing" ], "pros": [ "Minimizes image file sizes without significant quality loss", "Designed for integration with MCP-based systems", "High-performance as a dedicated microservice" ], "cons": [ "Limited to the MCP protocol, reducing general applicability", "Small community and project maturity (33 stars)", "Requires a MCP-compatible environment to operate" ], "tags": [], "featured": false, "tier": "curated", "stars": 33, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-06-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/InhiblabCore/mcp-image-compression", "relations": { "works_in": [ "cline", "cursor", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/inhiblabcore-mcp-image-compression" }, { "slug": "inkog-io-inkog-mcp", "name": "inkog-io/inkog-mcp", "vendor": "Various", "tagline": "Inkog MCP Server — the pre-flight check for AI agents", "description": "Inkog MCP Server is a TypeScript implementation of the Model Context Protocol that functions as a pre-flight check for AI agents. It validates agent readiness and environmental conditions before execution.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents who need a straightforward pre-flight validation step", "useCases": [ "Validate agent configuration and dependencies before deployment", "Check environment variables and connectivity as part of CI/CD pipelines", "Ensure AI agents meet runtime prerequisites at startup" ], "pros": [ "Lightweight TypeScript implementation with clear focus", "Integrates with the MCP ecosystem for agent tooling", "Simple pre-flight concept reduces runtime failures" ], "cons": [ "Very early stage with only 2 GitHub stars", "Limited community support and documentation", "Narrow use case may not suit complex agent workflows" ], "tags": [ "agent-security", "ai-agents", "devsecops", "mcp", "security" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-05-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/inkog-io/inkog-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/inkog-io-inkog-mcp" }, { "slug": "insforge-insforge-mcp", "name": "InsForge/insforge-mcp", "vendor": "Various", "tagline": "📇 ☁️ - AI-native backend-as-a-service platform enabling AI agents to build and manage full-stack applications. Provides Auth, Database (PostgreSQL), Storage, and Functions as prod", "description": "InsForge/insforge-mcp is a backend-as-a-service platform designed for AI agents to build and manage full-stack applications. It provides authentication, PostgreSQL database, storage, and serverless functions as production-ready services. The tool is built with TypeScript and integrates with AI workflows via the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agent-driven applications that need backend services", "useCases": [ "Building full-stack applications autonomously with AI agents", "Managing backend services like auth, database, and storage via AI", "Integrating AI agent workflows with production-ready backend infrastructure" ], "pros": [ "Provides a complete backend stack (auth, database, storage, functions) out of the box", "Designed for AI agent integration, enabling autonomous app management", "Built with TypeScript for type safety and modern development" ], "cons": [ "Small community with only 27 GitHub stars, indicating early stage", "Dependency on AI agent capabilities may limit direct human developer usage", "Limited documentation or support ecosystem due to low adoption" ], "tags": [], "featured": false, "tier": "curated", "stars": 27, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/InsForge/insforge-mcp", "relations": { "works_in": [ "cursor", "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/insforge-insforge-mcp" }, { "slug": "inspizzz-jetbrains-datalore-mcp", "name": "Inspizzz/jetbrains-datalore-mcp", "vendor": "Various", "tagline": "🐍 ☁️ - MCP server for interacting with cloud deployments of Jetbrains Datalore platform. Fully incorporated Datalore API ( run, run interactively, get run data, fetch files )", "description": "This is a Model Context Protocol (MCP) server that wraps the Jetbrains Datalore API. It allows AI agents to run notebooks (including interactive runs), fetch run data, and retrieve files from cloud-based Datalore instances. The server acts as a bridge between MCP-compatible clients and the Datalore platform.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Data scientists and MLOps engineers who want to orchestrate Datalore notebooks through AI assistants", "useCases": [ "Execute Jupyter notebooks on remote Datalore servers via AI agents", "Automate data analysis workflows by triggering notebook runs and collecting results", "Manage and retrieve files from Datalore project workspaces programmatically" ], "pros": [ "Leverages the MCP standard for easy integration with AI assistants", "Provides direct access to Datalore's cloud execution and file management capabilities", "Open-source implementation with a clear API wrapper" ], "cons": [ "Requires a running Jetbrains Datalore cloud instance to function", "Limited to the operations exposed by the Datalore API (run, interact, fetch files)", "Dependency on Datalore's API availability and version compatibility" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/inspizzz/jetbrains-datalore-mcp", "relations": { "works_in": [ "claude-code", "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/inspizzz-jetbrains-datalore-mcp" }, { "slug": "inspektor-gadget-ig-mcp-server", "name": "inspektor-gadget/ig-mcp-server", "vendor": "Various", "tagline": "Debug your Container and Kubernetes workloads with an AI interface", "description": "A Go-based MCP server that exposes Inspektor Gadget's container and Kubernetes debugging capabilities through an AI interface. It allows developers to inspect workloads, trace system calls, and analyze network activity using natural language queries.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers debugging container and Kubernetes workloads who want a conversational interface to eBPF-based introspection tools.", "useCases": [ "Debug container crashes by querying recent syscall activity", "Trace network connections from a specific pod without kubectl exec", "Analyze file system operations of a misbehaving Kubernetes workload" ], "pros": [ "Leverages Inspektor Gadget's powerful eBPF-based introspection without manual CLI commands", "Integrates with AI assistants for interactive debugging sessions", "Open source and written in Go, easy to extend or audit" ], "cons": [ "Requires Inspektor Gadget to be installed and configured on the cluster", "Small community (25 stars) means limited documentation and support", "AI interface adds latency compared to direct CLI usage" ], "tags": [ "ai", "container", "ebpf", "kubernetes", "linux", "mcp-server" ], "featured": false, "tier": "curated", "stars": 25, "language": [ "Go" ], "license": "Apache-2.0", "lastUpdated": "2026-05-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/inspektor-gadget/ig-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "txn2-kubefwd" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/inspektor-gadget-ig-mcp-server" }, { "slug": "integromat-make-mcp-server", "name": "integromat/make-mcp-server", "vendor": "Various", "tagline": "Make MCP Server", "description": "A TypeScript MCP server that connects AI models to Make (formerly Integromat) automation workflows. It exposes Make scenarios as callable functions through the Model Context Protocol, enabling AI assistants to trigger and interact with automations programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to bridge AI assistants with Make automations using the Model Context Protocol", "useCases": [ "Building AI agents that trigger Make scenarios from natural language commands", "Integrating AI assistants with existing Make automation workflows", "Exposing Make automations as tools for MCP-compatible AI clients" ], "pros": [ "Written in TypeScript, easy to extend and maintain", "Open source with a clear, focused purpose", "Lightweight and self-contained" ], "cons": [ "Small community with only 159 GitHub stars, limited support", "Requires self-hosting and managing your own MCP infrastructure", "Dependent on Make's API availability and rate limits" ], "tags": [], "featured": false, "tier": "curated", "stars": 159, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/integromat/make-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "pipedreamhq-pipedream" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/integromat-make-mcp-server" }, { "slug": "intentos-labs-beeper-mcp", "name": "intentos-labs/beeper-mcp", "vendor": "Various", "tagline": "A backend service for executing beeper transactions on Binance Smart Chain", "description": "A Python backend service for executing beeper transactions on the Binance Smart Chain. It provides an API to initiate and manage beeper operations programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers automating beeper transactions on Binance Smart Chain", "useCases": [ "Automating beeper token swaps on BSC", "Integrating beeper transactions into dApps", "Building backend scripts for beeper protocol interactions" ], "pros": [ "Lightweight Python implementation", "Focused on a specific BSC use case" ], "cons": [ "Very low community adoption (3 stars)", "Limited documentation and support", "Narrow scope (beeper on BSC only)" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "Python" ], "lastUpdated": "2025-04-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/intentos-labs/beeper-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/intentos-labs-beeper-mcp" }, { "slug": "intruder-io-intruder-mcp", "name": "intruder-io/intruder-mcp", "vendor": "Various", "tagline": "An MCP server to let AI agents control Intruder", "description": "An MCP server that enables AI agents to interact with the Intruder security platform. It exposes Intruder's API through the Model Context Protocol, allowing agents to trigger scans, retrieve results, and manage security operations programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and security teams using Intruder who want to automate scanning workflows through AI agents", "useCases": [ "Automate vulnerability scanning from an AI agent", "Query scan results and security findings via natural language", "Trigger security assessments as part of a CI/CD pipeline" ], "pros": [ "Tight integration with Intruder's security scanning capabilities", "Simple MCP interface for agent-based automation", "Open source with Python codebase for easy customization" ], "cons": [ "Requires an active Intruder subscription and API key", "Limited to Intruder's supported scan types and targets", "Small community and limited documentation beyond the repo" ], "tags": [], "featured": false, "tier": "curated", "stars": 24, "language": [ "Python" ], "license": "BSD-3-Clause", "lastUpdated": "2026-04-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/intruder-io/intruder-mcp", "relations": { "works_in": [ "cline", "cursor", "anthropic-computer-use" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/intruder-io-intruder-mcp" }, { "slug": "inventer-dev-mcp-internet-speed-test", "name": "inventer-dev/mcp-internet-speed-test", "vendor": "Various", "tagline": "The MCP Internet Speed Test is a specialized Model Context Protocol (MCP) server that enables AI models and agents to perform internet speed measurements.", "description": "This is a Model Context Protocol (MCP) server that allows AI models and agents to initiate internet speed measurements. It implements the MCP standard to provide speed test capabilities as a tool for agents.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to retrieve internet speed data programmatically", "useCases": [ "Automating periodic network speed checks from an AI assistant", "Providing real-time bandwidth data to diagnostic agents", "Integrating speed test results into automated reporting pipelines" ], "pros": [ "Straightforward MCP integration for speed testing", "Open source and built in Python for easy customization", "Lightweight and focused on a single well-defined task" ], "cons": [ "Limited to speed test functionality with no other network diagnostics", "Small community (13 stars) may result in slower updates and less support", "Requires internet access and may depend on external speed test libraries" ], "tags": [], "featured": false, "tier": "curated", "stars": 13, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-09", "addedAt": "2026-06-01", "officialLink": "https://github.com/inventer-dev/mcp-internet-speed-test", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/inventer-dev-mcp-internet-speed-test" }, { "slug": "io-aerospace-software-community-mcp-server", "name": "IO-Aerospace-software-community/mcp-server", "vendor": "Various", "tagline": "#️⃣ ☁️/🏠 🐧 - IO Aerospace MCP Server: a .NET-based MCP server for aerospace & astrodynamics — ephemeris, orbital conversions, DSS tools, time conversions, and unit/math utilities", "description": "A .NET-based MCP server providing aerospace and astrodynamics utilities including ephemeris data, orbital conversions, DSS tools, time conversions, and unit/math functions. It exposes these capabilities through the Model Context Protocol for integration with AI assistants and development tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-assisted tools for aerospace engineering, satellite operations, or astrodynamics simulations", "useCases": [ "Convert orbital elements and coordinate systems for satellite trajectory analysis", "Retrieve ephemeris data for spacecraft or celestial body positioning", "Perform time conversions and unit transformations for aerospace calculations" ], "pros": [ "Specialized for aerospace and astrodynamics, filling a niche not covered by general-purpose tools", "Open-source .NET implementation, easy to extend or integrate into existing .NET workflows", "Provides a broad set of utilities (ephemeris, orbital, time, math) in one server" ], "cons": [ "Requires .NET runtime, limiting use in non-.NET environments", "Documentation and community support may be sparse as a niche open-source project", "Dependent on the MCP protocol, which is not yet widely adopted outside experimental AI tooling" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/IO-Aerospace-software-engineering/mcp-server", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/io-aerospace-software-community-mcp-server" }, { "slug": "io-github-opsconduit-jobber-mcp", "name": "io.github.opsconduit/jobber-mcp", "vendor": "Various", "tagline": "Read-only MCP connector for Jobber field-service operations.", "description": "Read-only MCP connector for Jobber field-service operations. It provides a standardized interface through the Model Context Protocol for querying Jobber data. Designed for integration with MCP-compatible clients such as AI agents or custom tooling.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants or automation workflows that need secure, read-only access to Jobber field-service data", "useCases": [ "Expose Jobber field-service records to MCP-compatible AI assistants", "Fetch job schedules, customer details, and service history for automation", "Query read-only Jobber data for custom dashboards or analytics" ], "pros": [ "Read-only access reduces risk of unintended modifications to production data", "Standard MCP protocol enables interoperability with many tools and platforms", "Lightweight JavaScript implementation simplifies deployment" ], "cons": [ "Read-only limitation prevents updates or creation of records", "Requires valid Jobber API credentials and network access to Jobber", "No community traction (0 stars) may indicate limited testing or support" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/opsconduit/jobber-mcp", "relations": { "works_in": [ "continue", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/io-github-opsconduit-jobber-mcp" }, { "slug": "ios-simulator-mcp", "name": "ios-simulator-mcp", "vendor": "Various", "tagline": "MCP server for interacting with the iOS simulator", "description": "The ios-simulator-mcp is an MCP server built in JavaScript that provides programmatic control over the iOS simulator. It exposes simulator actions through the Model Context Protocol, enabling integration with AI assistants and development tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to automate iOS simulator tasks through AI assistants", "useCases": [ "Automating iOS simulator launches and app installations", "Injecting touch events and system interactions for testing", "Integrating simulator debugging into AI-powered workflows" ], "pros": [ "Open source with over 2,000 GitHub stars, indicating community trust", "Written in JavaScript, lowering the barrier for web developers", "Adheres to the MCP standard, flexible for connecting with various AI agents" ], "cons": [ "Limited to macOS because it relies on Apple's iOS simulator", "Functionality depends on Apple's simulator state and may break with OS updates", "May not cover all simulator capabilities or require manual setup" ], "tags": [], "featured": false, "tier": "curated", "stars": 2025, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/joshuayoes/ios-simulator-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mobile-next-mobile-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ios-simulator-mcp" }, { "slug": "ip2location-mcp-ip2location-io", "name": "ip2location/mcp-ip2location-io", "vendor": "Various", "tagline": "IP Geolocation MCP server using IP2Location.io API", "description": "An MCP server that provides IP geolocation data via the IP2Location.io API. It accepts an IP address and returns location details such as country, region, city, latitude, and longitude.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing quick IP-to-location lookups in MCP-based workflows", "useCases": [ "Look up geographic location of a visitor IP address", "Enrich user data with location context for analytics", "Validate or filter traffic based on IP origin" ], "pros": [ "Simple, focused API for IP geolocation", "Lightweight Python implementation", "Integrates easily with MCP-compatible clients" ], "cons": [ "Requires an IP2Location.io API key (free tier limited)", "Only returns location data, no ISP or threat intelligence", "Low community adoption (14 stars) may mean limited support" ], "tags": [ "claude-desktop", "geolocation", "geolocation-data", "ip", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 14, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/ip2location/mcp-ip2location-io", "relations": { "works_in": [ "cline", "claude-code", "cursor" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ip2location-mcp-ip2location-io" }, { "slug": "ip2whois-mcp-ip2whois", "name": "ip2whois/mcp-ip2whois", "vendor": "Various", "tagline": "WHOIS MCP server using IP2WHOIS API.", "description": "A Model Context Protocol (MCP) server that provides WHOIS lookup functionality via the IP2WHOIS API. It accepts domain or IP queries and returns registration details such as registrar, creation date, and contact information. Built in Python, it integrates with MCP-compatible clients for automated domain intelligence.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need WHOIS data in MCP-compatible automation pipelines", "useCases": [ "Look up domain registration and ownership details", "Check domain availability or expiration dates", "Automate WHOIS queries within MCP-enabled workflows" ], "pros": [ "Leverages the reliable IP2WHOIS API for accurate data", "Follows the MCP standard for easy integration with compatible tools", "Python-based, simple to deploy and extend" ], "cons": [ "Requires an IP2WHOIS API key, which may involve cost or registration", "Zero GitHub stars suggests limited community adoption and testing", "Documentation and support may be sparse" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/ip2whois/mcp-ip2whois", "relations": { "works_in": [ "cursor", "cline", "continue" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ip2whois-mcp-ip2whois" }, { "slug": "ipfind-ipfind-mcp-server", "name": "ipfind/ipfind-mcp-server", "vendor": "Various", "tagline": "IP Find MCP Server", "description": "A lightweight MCP server that wraps ipfind.co's IP geolocation API. Accepts an IP address and returns location data including city, region, country, and coordinates via standard MCP interfaces.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a simple MCP-compatible wrapper for IP geolocation lookups", "useCases": [ "Lookup geolocation for a user's public IP during authentication", "Enrich event logs or analytics with IP-derived location metadata", "Test or demo MCP server interactions with a simple API wrapper" ], "pros": [ "Minimal codebase and dependencies for quick setup", "Follows the Model Context Protocol for easy integration with MCP hosts", "Provides concrete IP-to-location data without external configuration beyond an API key" ], "cons": [ "Requires a paid ipfind.co API key for sustained usage beyond free tier limits", "Only 2 GitHub stars indicates minimal community or testing", "Limited to ipfind.co as the single data source with no fallback or caching" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "JavaScript" ], "lastUpdated": "2025-07-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/ipfind/ipfind-mcp-server", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ipfind-ipfind-mcp-server" }, { "slug": "ipfred-aiwen-mcp-server-geoip", "name": "ipfred/aiwen-mcp-server-geoip", "vendor": "Various", "tagline": "埃文IP定位MCP", "description": "An MCP server that provides IP geolocation lookups. It integrates with the Model Context Protocol to let AI models query geographic information for a given IP address. The server is written in JavaScript and has 5 stars on GitHub.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a basic, open-source IP geolocation MCP server for prototyping or simple AI assistant integrations.", "useCases": [ "Retrieve the country and city for a user's IP address", "Enhance AI assistant responses with location-aware context", "Automate IP-based location checks in a chat or agent workflow" ], "pros": [ "Simple interface for IP geolocation via the MCP protocol", "Lightweight and easy to integrate into JavaScript projects", "Open source with no cost to use" ], "cons": [ "Very few stars indicates minimal community validation and support", "No detailed documentation or usage examples readily inferred from the facts", "Vendor listed as 'Various' may mean limited maintenance and updates" ], "tags": [], "featured": false, "tier": "curated", "stars": 5, "language": [ "JavaScript" ], "lastUpdated": "2025-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/ipfred/aiwen-mcp-server-geoip", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ipfred-aiwen-mcp-server-geoip" }, { "slug": "iplocate-mcp-server-iplocate", "name": "iplocate/mcp-server-iplocate", "vendor": "Various", "tagline": "MCP server for looking up IP address geolocation (IP to country, IP to city), network information, proxy and VPN detection, abuse contacts, and more - using the IPLocate.io API.", "description": "An MCP server that provides IP address geolocation, network information, proxy and VPN detection, and abuse contact lookups via the IPLocate.io API. It accepts an IP address and returns structured data including country, city, ISP, and threat indicators.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based workflows that need IP geolocation or proxy detection without implementing their own lookup logic", "useCases": [ "Enrich user requests with geographic location for localized content", "Detect proxy or VPN usage to enforce security policies", "Look up abuse contact for an IP address during incident response" ], "pros": [ "Leverages a dedicated geolocation API for accurate and consistent data", "Includes additional security features like proxy and VPN detection", "Easy to integrate as an MCP server with compatible clients" ], "cons": [ "Requires an API key from IPLocate.io, which may have usage limits or costs", "Depends on an external API, introducing latency and potential downtime", "Data quality and coverage are limited to what IPLocate.io provides" ], "tags": [], "featured": false, "tier": "curated", "stars": 17, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2025-06-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/iplocate/mcp-server-iplocate", "relations": { "works_in": [ "cline", "cursor", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/iplocate-mcp-server-iplocate" }, { "slug": "iprashantraj-mcp-discord-bridge", "name": "iprashantraj/mcp-discord-bridge", "vendor": "Various", "tagline": "AI assistant control a Discord server - reading messages, creating/deleting channels, sending messages ,All via the MCP protocol", "description": "An MCP (Model Context Protocol) server that enables AI assistants to interact with Discord servers. It allows reading messages, managing channels (create/delete), and sending messages through the MCP protocol. The tool is written in TypeScript and is open source.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers integrating AI assistants with Discord automation via the MCP protocol", "useCases": [ "Reading and monitoring Discord messages from an AI assistant", "Creating and deleting Discord channels programmatically", "Sending Discord messages as part of an automated workflow" ], "pros": [ "Provides a standard MCP interface for Discord control", "TypeScript implementation offers type safety and familiarity", "Simple, focused set of Discord operations" ], "cons": [ "Very low adoption (1 star) indicates early stage and limited community", "Only supports basic text and channel operations, no voice or reactions", "Requires a running MCP server and compatible AI client" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/iprashantraj/mcp-discord-bridge", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "lharries-whatsapp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/iprashantraj-mcp-discord-bridge" }, { "slug": "iris-eval-mcp-server", "name": "iris-eval/mcp-server", "vendor": "Various", "tagline": "The agent eval standard for MCP — score output quality, catch safety failures, enforce cost budgets", "description": "iris-eval/mcp-server provides a standardized evaluation framework for agents using the Model Context Protocol (MCP). It scores output quality, detects safety failures, and enforces cost budgets to help developers assess and control agent behavior.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building and evaluating agents that use the Model Context Protocol", "useCases": [ "Benchmark agent output quality against defined criteria", "Automatically catch safety violations during agent execution", "Enforce per-call or cumulative cost limits to prevent budget overruns" ], "pros": [ "Offers a formal evaluation standard for MCP-based agents", "Combines quality, safety, and cost checks in one tool", "Written in TypeScript for type-safe integration" ], "cons": [ "Very low GitHub star count (6) suggests limited community adoption", "Tightly coupled to the MCP ecosystem, not useful outside it", "Requires agent infrastructure already built on MCP" ], "tags": [ "agent-evaluation", "ai-agent", "claude", "eval", "evaluation", "llm", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 6, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/iris-eval/mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [ "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/iris-eval-mcp-server" }, { "slug": "irskep-persistproc", "name": "irskep/persistproc", "vendor": "Various", "tagline": "MCP server to allow LLMs to manage and inspect long-running processes", "description": "persistproc is an MCP server that lets LLMs manage and inspect long-running processes. It provides a persistent process management layer so models can start, monitor, and interact with background tasks across sessions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building LLM agents that need to run and supervise background shell processes", "useCases": [ "Launch and monitor long-running data processing jobs from an LLM", "Inspect stdout/stderr of background processes during multi-turn conversations", "Manage process lifecycles (start, stop, status) programmatically via MCP" ], "pros": [ "Enables LLMs to handle tasks that outlive a single response", "Lightweight Python implementation with minimal dependencies", "Open source with a clear MCP interface for integration" ], "cons": [ "Limited to Python environments and MCP-compatible clients", "No built-in resource or security isolation for spawned processes", "Small community and low star count may mean slower updates" ], "tags": [], "featured": false, "tier": "curated", "stars": 8, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-07-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/irskep/persistproc", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "executeautomation-playwright-mcp-server", "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/irskep-persistproc" }, { "slug": "isaac-levine-forage", "name": "isaac-levine/forage", "vendor": "Various", "tagline": "Self-improving tool discovery for AI agents. Agents find, install, and learn to use new MCP tools automatically.", "description": "A TypeScript project that enables AI agents to automatically discover, install, and learn to use new MCP tools. It aims to make tool discovery self-improving so agents can adapt their capabilities without manual intervention.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based AI agents that need dynamic tool discovery and integration", "useCases": [ "Enabling an agent to find and add relevant MCP tools on the fly", "Automating the installation of new tools during agent runtime", "Teaching agents how to use discovered tools without prior configuration" ], "pros": [ "Reduces manual setup for tool integration in agent workflows", "Self-improving mechanism allows agents to expand capabilities autonomously", "Open source and focused on MCP ecosystem" ], "cons": [ "Very small community (10 stars) suggests limited adoption and support", "Dependent on MCP standard adoption and tool availability", "Requires careful management of agent permissions for automatic installations" ], "tags": [ "ai-agent", "claude", "llm-tools", "mcp", "mcp-server", "model-context-protocol", "tool-discovery" ], "featured": false, "tier": "curated", "stars": 10, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-02-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/isaac-levine/forage", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/isaac-levine-forage" }, { "slug": "isaacphi-mcp-gdrive", "name": "isaacphi/mcp-gdrive", "vendor": "Various", "tagline": "Model Context Protocol (MCP) Server for reading from Google Drive and editing Google Sheets", "description": "This is a Model Context Protocol server that lets AI agents read files from Google Drive and edit Google Sheets. Built in TypeScript, it provides a standardized MCP interface for interacting with these Google services.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to read and edit Google Drive files and sheets", "useCases": [ "Reading documents from Google Drive", "Editing cells in Google Sheets", "Querying spreadsheet data via MCP" ], "pros": [ "Open source and free to use", "Follows the MCP standard for easy integration with AI agents", "Active community with 281 stars" ], "cons": [ "Limited to Google Drive and Sheets (no other Google services)", "Requires Google API setup and authentication", "May encounter rate limits or permission complexities" ], "tags": [], "featured": false, "tier": "curated", "stars": 281, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-05-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/isaacphi/mcp-gdrive", "relations": { "works_in": [ "cursor", "cline", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [ "microsoft-markitdown" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/isaacphi-mcp-gdrive" }, { "slug": "isaacwasserman-mcp-snowflake-server", "name": "isaacwasserman/mcp-snowflake-server", "vendor": "Various", "tagline": "🐍 ☁️ - Snowflake integration implementing read and (optional) write operations as well as insight tracking", "description": "A Python server that integrates Snowflake with the Model Context Protocol (MCP), enabling read operations and optional write operations alongside insight tracking. It allows AI agents to query and update Snowflake data through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based AI tools that need direct Snowflake access", "useCases": [ "Connect AI assistants to query Snowflake databases for analytics and reporting", "Enable AI-driven data ingestion or record updates via write operations", "Track usage insights and query patterns across MCP-based tools" ], "pros": [ "Open source with 183 GitHub stars, active community", "Supports both read and optional write operations for flexibility", "Lightweight Python implementation easy to deploy and extend" ], "cons": [ "Limited to the Model Context Protocol, not a full Snowflake connector", "Write operations are optional and may require careful configuration", "Relies on Snowflake credentials and network setup beyond the tool itself" ], "tags": [], "featured": false, "tier": "curated", "stars": 183, "language": [ "Python" ], "license": "GPL-3.0", "lastUpdated": "2025-10-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/isaacwasserman/mcp-snowflake-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "haris-musa-excel-mcp-server", "mindsdb-mindsdb" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/isaacwasserman-mcp-snowflake-server" }, { "slug": "isaacphi-mcp-language-server", "name": "isaacphi/mcp-language-server", "vendor": "Various", "tagline": "mcp-language-server gives MCP enabled clients access semantic tools like get definition, references, rename, and diagnostics.", "description": "mcp-language-server provides an MCP wrapper around existing language servers. It exposes semantic code actions like go to definition, find references, rename, and diagnostics to any MCP-compatible client.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based IDEs or automating code analysis via AI agents", "useCases": [ "Query code symbols and references from an AI coding agent", "Automate refactoring tasks like rename across a project", "Integrate language-server diagnostics into a chat-based development flow" ], "pros": [ "Leverages stable LSP infrastructure already maintained per language", "Simple Go implementation with 1500+ stars indicates community trust", "Works with any MCP client without per-language integration work" ], "cons": [ "Depends on external language servers being correctly installed per project", "Limited to actions the underlying LSP server exposes (no custom analysis)", "No built-in multi-language orchestration; each language needs its own server" ], "tags": [ "ai", "language-server-protocol", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 1539, "language": [ "Go" ], "license": "BSD-3-Clause", "lastUpdated": "2026-03-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/isaacphi/mcp-language-server", "relations": { "works_in": [ "cline", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/isaacphi-mcp-language-server" }, { "slug": "isaacwasserman-mcp-vegalite-server", "name": "isaacwasserman/mcp-vegalite-server", "vendor": "Various", "tagline": "🐍 🏠 - Generate visualizations from fetched data using the VegaLite format and renderer.", "description": "A Python-based MCP server that generates Vega-Lite visualizations from fetched data. It accepts data inputs and returns Vega-Lite specifications for rendering charts and graphs.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based applications that need programmatic, declarative chart generation from data.", "useCases": [ "Create on-the-fly charts from API or database query results", "Embed interactive Vega-Lite visualizations in MCP-compatible applications", "Automate report generation with standardized chart outputs" ], "pros": [ "Leverages the powerful Vega-Lite grammar for concise, declarative visualizations", "Integrates seamlessly with MCP-based tools and workflows", "Lightweight Python implementation with clear server-client separation" ], "cons": [ "Limited to Vega-Lite output; no support for other charting libraries", "Requires MCP-compatible client to consume the generated specifications", "Small community and fewer examples compared to more established visualization tools" ], "tags": [], "featured": false, "tier": "curated", "stars": 97, "language": [ "Python" ], "lastUpdated": "2025-05-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/isaacwasserman/mcp-vegalite-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "antv-mcp-server-chart", "mckinsey-vizro-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/isaacwasserman-mcp-vegalite-server" }, { "slug": "isdaniel-mcp-weather-server", "name": "isdaniel/mcp_weather_server", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server that provides weather information using the Open-Meteo API.", "description": "A Model Context Protocol server that fetches weather data from the Open-Meteo API. It is written in Python and exposes weather information to MCP-compatible clients. The server provides current conditions and forecasts based on location coordinates.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based AI agents that need weather context", "useCases": [ "Integrating weather data into AI assistants", "Providing real-time weather for location-aware agents", "Building MCP-based tools that require weather context" ], "pros": [ "Simple setup with Python and standard dependencies", "Uses free Open-Meteo API with no API key required", "Lightweight and focused on a single task" ], "cons": [ "Limited to Open-Meteo data sources (no alternative providers)", "Requires MCP-compatible client to consume the service", "No built-in caching or rate limiting for repeated queries" ], "tags": [ "ai", "ai-tools", "mcp", "mcp-server", "python", "python3" ], "featured": false, "tier": "curated", "stars": 50, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-04-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/isdaniel/mcp_weather_server", "relations": { "works_in": [], "uses": [], "built_with": [ "awslabs-mcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/isdaniel-mcp-weather-server" }, { "slug": "isnow890-naver-search-mcp", "name": "isnow890/naver-search-mcp", "vendor": "Various", "tagline": "MCP server for Naver Search API integration. Provides comprehensive search capabilities across Naver services (web, news, blog, shopping, etc) and data trend analysis tools via Dat", "description": "A Model Context Protocol server that wraps Naver Search APIs. It exposes endpoints for web, news, blog, and shopping searches, plus trend analysis through Naver's DataLab API.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI tools that need Korean web search and trend data from Naver.", "useCases": [ "Integrate Naver search results into an AI agent or assistant", "Analyze search volume trends for keywords using DataLab", "Build a Korean-language search tool with access to Naver's verticals" ], "pros": [ "Covers multiple Naver search verticals in one MCP server", "Includes DataLab trend analysis for data-driven insights", "Written in TypeScript with clear API structure" ], "cons": [ "Requires a Naver API key and developer registration", "Limited to Naver's ecosystem, not a general search tool", "Small community (71 stars) may mean slower updates" ], "tags": [ "data-analysis", "datalab-api", "korean-search", "mcp-server", "naver-api", "naver-mcp", "search-api", "trend-analysis" ], "featured": false, "tier": "curated", "stars": 71, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/isnow890/naver-search-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "exa-labs-exa-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/isnow890-naver-search-mcp" }, { "slug": "itsalissonsilva-modelsafetymcp", "name": "itsalissonsilva/ModelSafetyMCP", "vendor": "Various", "tagline": "MCP server for model safety inspection.", "description": "ModelSafetyMCP is an MCP server that inspects machine learning models for safety issues. It uses Python to analyze model files and report potential risks or vulnerabilities.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a simple, protocol-based tool to check model safety before use.", "useCases": [ "Scanning models for safety compliance before deployment", "Integrating model safety checks into CI/CD pipelines", "Auditing third-party models for known risks" ], "pros": [ "Focused on a specific, important task of model safety", "Leverages the MCP protocol for easy integration with other tools", "Lightweight Python implementation" ], "cons": [ "No stars or community adoption yet, indicating early stage", "Limited documentation and examples available", "Scope may be narrow for general model inspection needs" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/itsalissonsilva/ModelSafetyMCP", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/itsalissonsilva-modelsafetymcp" }, { "slug": "iunera-druid-mcp-server", "name": "iunera/druid-mcp-server", "vendor": "Various", "tagline": "A comprehensive Model Context Protocol (MCP) server for Apache Druid that provides extensive tools, resources, and AI-assisted prompts for managing and analyzing Druid clusters. Bu", "description": "This server implements the Model Context Protocol (MCP) to connect AI assistants with Apache Druid clusters. It exposes tools, resources, and AI-assisted prompts for managing and analyzing Druid, using Spring Boot and Spring AI. The server standardizes how AI agents interact with Druid through the MCP protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to connect AI assistants with Apache Druid using a standardized protocol", "useCases": [ "Query Druid datasets via natural language through an AI assistant", "Manage cluster configurations and schemas using chat interfaces", "Automate routine Druid analysis tasks with AI-driven prompts" ], "pros": [ "Follows the open MCP standard for flexible AI tool integration", "Provides a comprehensive set of Druid-specific tools and resources", "Built on Spring Boot, offering a mature and stable Java framework" ], "cons": [ "Low GitHub star count (13) suggests limited community adoption", "Requires Java and Spring Boot environment, adding deployment overhead", "MCP protocol is less widely supported than REST or gRPC" ], "tags": [ "ai-integration", "apache-druid", "data-analytics", "mcp-server", "model-context-protocol", "spring-ai" ], "featured": false, "tier": "curated", "stars": 13, "language": [ "Java" ], "license": "Apache-2.0", "lastUpdated": "2026-05-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/iunera/druid-mcp-server", "relations": { "works_in": [ "claude-code", "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/iunera-druid-mcp-server" }, { "slug": "ivanamador-vercel-ai-docs-mcp", "name": "IvanAmador/vercel-ai-docs-mcp", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server that provides AI-powered search and querying capabilities for the Vercel AI SDK documentation. This project enables developers to ask question", "description": "A Model Context Protocol (MCP) server that indexes and retrieves Vercel AI SDK documentation. It accepts natural language queries and returns contextualized answers sourced from official docs.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building with the Vercel AI SDK who want inline query access to its documentation.", "useCases": [ "Query Vercel AI SDK usage details from within an MCP-compatible IDE or agent", "Resolve SDK integration issues without manually browsing documentation", "Search specific API reference entries for parameter and return type information" ], "pros": [ "Direct access to official SDK documentation without leaving the development environment", "Contextual responses tailored to the Vercel AI SDK rather than generic web search results", "Lightweight TypeScript implementation that is easy to review and customize" ], "cons": [ "Limited to Vercel AI SDK documentation only, no broader Vercel platform coverage", "Depends on MCP protocol support in the client tooling (e.g. VS Code, Cursor)", "Small open source project with only 49 stars, not officially supported by Vercel" ], "tags": [], "featured": false, "tier": "curated", "stars": 49, "language": [ "TypeScript" ], "lastUpdated": "2025-04-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/IvanAmador/vercel-ai-docs-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "cursor", "claude-code", "continue" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ivanamador-vercel-ai-docs-mcp" }, { "slug": "ivnvxd-mcp-server-odoo", "name": "ivnvxd/mcp-server-odoo", "vendor": "Various", "tagline": "Model Context Protocol (MCP) server that enables AI assistants to securely interact with Odoo ERP systems through standardized resources and tools for data retrieval and manipulati", "description": "A Model Context Protocol (MCP) server that allows AI assistants to read and write Odoo ERP data through a standardized interface. It exposes Odoo models as resources and provides tools for querying, creating, updating, and deleting records.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers integrating AI assistants with Odoo ERP for data retrieval and automation", "useCases": [ "Query Odoo records (e.g., sales orders, contacts) via natural language through an AI assistant", "Automate ERP data entry or updates by connecting AI agents to Odoo", "Build custom AI workflows that interact with Odoo without direct API coding" ], "pros": [ "303 GitHub stars indicate active community interest and adoption", "Standard MCP protocol makes it compatible with many AI assistants", "Written in Python, easy to extend or debug for Python developers" ], "cons": [ "Requires running a separate MCP server alongside Odoo", "Security depends on proper Odoo user permissions and network configuration", "Limited to Odoo models exposed by the server; custom models need manual setup" ], "tags": [ "ai", "erp", "llm", "mcp", "mcp-server", "mcp-servers", "model-context-protocol", "odoo" ], "featured": false, "tier": "curated", "stars": 303, "language": [ "Python" ], "license": "MPL-2.0", "lastUpdated": "2026-05-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/ivnvxd/mcp-server-odoo", "relations": { "works_in": [ "cursor", "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ivnvxd-mcp-server-odoo" }, { "slug": "ivanmurzak-unity-mcp", "name": "IvanMurzak/Unity-MCP", "vendor": "Various", "tagline": "AI Skills, MCP Tools, and CLI for Unity Engine. Full AI develop and test loop. Use cli for quick setup. Efficient token usage, advanced tools. Any C# method may be turned into a to", "description": "IvanMurzak/Unity-MCP is an open-source toolkit that integrates AI coding assistants with the Unity Engine via MCP tools and a CLI. It enables a full AI development and testing loop by allowing any C# method to become a tool with a single line of code, and it works with Claude Code, Gemini, Copilot, Cursor, and other assistants for free.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Unity developers who want to integrate AI assistants into their game development and testing workflow", "useCases": [ "Automate Unity editor tasks and testing through AI-driven tool calls", "Rapidly prototype and iterate on game logic by exposing C# methods as AI tools", "Set up a complete AI development pipeline in Unity using the CLI" ], "pros": [ "Free and compatible with multiple major AI coding assistants", "Minimal setup required to turn any C# method into an AI-accessible tool", "Efficient token usage with advanced tooling for complex workflows" ], "cons": [ "Requires familiarity with Unity and C# to define custom tools", "Dependency on external AI assistants for full functionality", "Limited to the Unity engine ecosystem only" ], "tags": [ "ai", "ai-integration", "anthropic", "claude", "claude-code", "claude-desktop", "cli", "copilot" ], "featured": false, "tier": "curated", "stars": 2979, "language": [ "C#" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/IvanMurzak/Unity-MCP", "relations": { "works_in": [ "claude-code", "cursor", "continue" ], "uses": [], "built_with": [], "pairs_with": [ "ahujasid-blender-mcp", "coding-solo-godot-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ivanmurzak-unity-mcp" }, { "slug": "ivo-toby-contentful-mcp", "name": "ivo-toby/contentful-mcp", "vendor": "Various", "tagline": "MCP (Model Context Protocol) server for the Contentful Management API", "description": "An MCP server that exposes the Contentful Management API to AI assistants via the Model Context Protocol. It allows developers to query, create, update, and delete content entries, assets, and other resources in Contentful spaces using natural language or structured commands.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using AI assistants to manage Contentful content programmatically", "useCases": [ "Automate content entry creation and updates in Contentful spaces", "Query and retrieve content assets or entries via an AI assistant", "Manage Contentful resources programmatically without manual API calls" ], "pros": [ "Simplifies Contentful management through natural language interactions", "Open source with TypeScript for easy customization and extension", "Leverages the standard MCP protocol for broad AI tool compatibility" ], "cons": [ "Limited to Contentful Management API capabilities, not a general-purpose tool", "Requires setup and configuration of MCP client and Contentful credentials", "Small community (60 stars) may mean fewer examples or support" ], "tags": [], "featured": false, "tier": "curated", "stars": 60, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-01-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/ivo-toby/contentful-mcp", "relations": { "works_in": [ "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ivo-toby-contentful-mcp" }, { "slug": "izzzzzi-codewiki-mcp", "name": "izzzzzi/codewiki-mcp", "vendor": "Various", "tagline": "MCP server for codewiki.google — search, fetch docs, and ask questions about any open-source repo", "description": "A Model Context Protocol server that provides access to codewiki.google, enabling tools to search for, retrieve documentation, and answer questions about any open-source repository. It operates via clear search and fetch commands, making technical documentation directly queryable.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need quick, natural-language access to open-source documentation via MCP clients", "useCases": [ "Search across open-source repo docs for specific APIs or functions", "Fetch full documentation pages for reading or context injection", "Ask natural language questions about a repo's codebase or setup" ], "pros": [ "Connects MCP-enabled assistants to a broad index of open-source docs", "Simple interface with focused search and fetch capabilities", "TypeScript implementation offers type safety and easy integration" ], "cons": [ "Limited to repos indexed by codewiki.google, not all open-source projects", "Dependency on external service availability and uptime", "Small community (10 stars) means less testing and fewer examples" ], "tags": [ "ai", "codewiki", "documentation", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 10, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/izzzzzi/codewiki-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/izzzzzi-codewiki-mcp" }, { "slug": "izzzzzi-iztolkmcp", "name": "izzzzzi/izTolkMcp", "vendor": "Various", "tagline": "MCP server for Tolk smart contract compiler — compile, check, and deploy TON blockchain smart contracts from any MCP-compatible AI assistant", "description": "izTolkMcp is an MCP server that wraps the Tolk smart contract compiler for the TON blockchain. It enables any MCP-compatible AI assistant to compile, check, and deploy Tolk contracts through natural language or structured commands.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building TON blockchain applications who want AI-assisted contract compilation and deployment", "useCases": [ "Compile Tolk smart contracts from an AI chat interface", "Check contract syntax and errors before deployment", "Deploy TON blockchain contracts using natural language commands" ], "pros": [ "Works with any MCP-compatible AI assistant, providing flexibility", "Simplifies the Tolk contract workflow by integrating compilation and deployment", "Written in TypeScript, making it easy to extend or contribute to" ], "cons": [ "Very low community adoption (1 star) indicates limited testing and support", "Only supports Tolk language, not FunC or other TON contract languages", "Relies on the maturity and stability of the MCP ecosystem" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/izzzzzi/izTolkMcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/izzzzzi-iztolkmcp" }, { "slug": "j0hanz-filesystem-context-mcp-server", "name": "j0hanz/filesystem-context-mcp-server", "vendor": "Various", "tagline": "A local filesystem MCP server that lets LLMs and AI agents read, write, search, diff, patch, and manage files safely and efficiently. Built for reliable, structured, and controlled", "description": "A local filesystem MCP server that exposes file read, write, search, diff, patch, and management operations to LLMs and AI agents. It runs as a process on the user's machine, providing structured and controlled filesystem access through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to give LLM-based agents safe, structured access to local file systems", "useCases": [ "Enabling an LLM agent to edit code files in a local project", "Allowing a chat assistant to read and summarize files from disk", "Letting an AI tool perform safe file patching and diff operations" ], "pros": [ "Runs locally so files never leave the user's machine", "Provides fine-grained file operations (read, write, diff, patch, search)", "Built with TypeScript for reliability and type safety" ], "cons": [ "Very low community adoption with only 8 GitHub stars", "Requires manual setup and running a dedicated server process", "Limited to local filesystem interactions only" ], "tags": [ "analysis", "diff", "exploitation", "file-management", "file-operations", "filesystem", "glob", "grep" ], "featured": false, "tier": "curated", "stars": 8, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/j0hanz/filesystem-context-mcp-server", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "wonderwhy-er-desktopcommandermcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/j0hanz-filesystem-context-mcp-server" }, { "slug": "j3k0-speech-sh", "name": "j3k0/speech.sh", "vendor": "Various", "tagline": "Simple curl script to play aloud what you type, useful if your voice is suddenly broken.", "description": "A minimal shell script that uses curl to send text to a text-to-speech service and play the audio aloud. It is designed for situations where a user cannot speak, such as temporary voice loss.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a quick, scriptable text-to-speech fallback for accessibility or prototyping.", "useCases": [ "Quickly vocalize typed messages when voice is unavailable", "Integrate text-to-speech into shell scripts or pipelines", "Test or debug TTS endpoints with a simple curl command" ], "pros": [ "Extremely lightweight and dependency-free beyond curl and a player", "Easy to understand and modify for custom TTS endpoints", "Works in any Unix-like environment with shell access" ], "cons": [ "Requires a separate audio player (e.g., aplay, afplay) to be installed", "No built-in error handling or retry logic for network failures", "Limited to basic text input; no support for SSML or voice selection" ], "tags": [], "featured": false, "tier": "curated", "stars": 7, "language": [ "Shell" ], "license": "GPL-3.0", "lastUpdated": "2026-03-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/j3k0/speech.sh/blob/main/MCP_README.md", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/j3k0-speech-sh" }, { "slug": "j4c0bs-mcp-server-sql-analyzer", "name": "j4c0bs/mcp-server-sql-analyzer", "vendor": "Various", "tagline": "MCP server for SQL static analysis.", "description": "j4c0bs/mcp-server-sql-analyzer is a Python-based MCP server that performs static analysis on SQL queries. It integrates with MCP-compatible clients to identify potential issues in SQL code without executing it.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want automated SQL quality checks in their MCP-enabled workflow", "useCases": [ "Catch syntax errors and anti-patterns in SQL during development", "Enforce SQL coding standards across a team's codebase", "Automate SQL review in CI/CD pipelines via MCP integration" ], "pros": [ "Lightweight and focused on a single, well-defined task", "Easy to integrate with existing MCP-compatible tools", "Open source with a permissive license" ], "cons": [ "Limited to static analysis; cannot detect runtime or data-dependent issues", "Small community and low star count may mean slower updates or fewer features", "Requires an MCP-compatible client to be useful" ], "tags": [], "featured": false, "tier": "curated", "stars": 30, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-07-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/j4c0bs/mcp-server-sql-analyzer", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/j4c0bs-mcp-server-sql-analyzer" }, { "slug": "jackrain19743-hou-tea-mcp-server", "name": "jackrain19743/hou-tea-mcp-server", "vendor": "Various", "tagline": "MCP server for hou-tea.com — buy authentic Chinese tea via x402 USDC. Works with Claude Desktop, Cursor, Cline.", "description": "An MCP server that enables purchasing authentic Chinese tea from hou-tea.com using x402 USDC payments. It integrates with Claude Desktop, Cursor, and Cline to allow AI-assisted tea ordering.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to buy Chinese tea through AI assistants using USDC", "useCases": [ "Buy tea directly from an AI assistant conversation", "Automate tea procurement in developer workflows", "Integrate tea purchases into MCP-compatible tools" ], "pros": [ "Leverages the MCP standard for easy integration with popular AI tools", "Uses USDC stablecoin for predictable, fast payments", "Simple setup for developers already using MCP clients" ], "cons": [ "Zero stars on GitHub indicates a new or unproven project", "Limited to a single vendor (hou-tea.com)", "Requires USDC wallet and familiarity with crypto payments" ], "tags": [ "agent-commerce", "agentic-commerce", "claude-desktop", "coinbase", "cursor", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/jackrain19743/hou-tea-mcp-server", "relations": { "works_in": [ "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jackrain19743-hou-tea-mcp-server" }, { "slug": "jacksun911-megalaunch-mcp", "name": "jacksun911/megalaunch-mcp", "vendor": "Various", "tagline": "MCP server for MegaLaunch — AI-powered meme token launch service on Solana/pump.fun", "description": "An MCP server that integrates MegaLaunch, a service for launching meme tokens on Solana via pump.fun. It exposes token creation and management as tool calls for AI agents.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to automate meme token launches on Solana", "useCases": [ "Automate meme token launches from an AI agent", "Manage token parameters programmatically", "Integrate Solana token creation into agent workflows" ], "pros": [ "Enables AI-driven token deployment on Solana", "Leverages pump.fun for simplified launches", "JavaScript-based, easy to integrate with Node.js agents" ], "cons": [ "Zero stars and no community traction yet", "Dependent on pump.fun service availability", "Limited documentation or usage examples" ], "tags": [ "ai-agent", "mcp", "mcp-server", "meme-coin", "pump-fun", "solana", "token-launch" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/jacksun911/megalaunch-mcp", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jacksun911-megalaunch-mcp" }, { "slug": "jacobsd32-cpu-djd-agent-score-mcp", "name": "jacobsd32-cpu/djd-agent-score-mcp", "vendor": "Various", "tagline": "MCP server for DJD Agent Score — reputation scoring tools for AI assistants", "description": "An MCP server that exposes reputation scoring tools for AI assistants using DJD Agent Score. Built in TypeScript, it provides a standard interface for querying or updating agent reputation metrics via the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with agent reputation systems in MCP-based architectures", "useCases": [ "Integrating reputation scoring into MCP-enabled AI assistants", "Building trust metrics for multi-agent systems", "Tracking and evaluating AI assistant behavior over time" ], "pros": [ "Open-source TypeScript implementation with a standard MCP interface", "Lightweight and focused on reputation scoring for agents", "No external dependencies beyond the MCP protocol" ], "cons": [ "Zero stars on GitHub indicates minimal adoption or community validation", "No documentation beyond the one-line description", "Scoring logic is opaque and may lack robustness for production use" ], "tags": [ "ai-agents", "base", "blockchain", "mcp", "mcp-server", "model-context-protocol", "reputation", "wallet-scoring" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/jacobsd32-cpu/djd-agent-score-mcp", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jacobsd32-cpu-djd-agent-score-mcp" }, { "slug": "jae-jae-fetcher-mcp", "name": "jae-jae/fetcher-mcp", "vendor": "Various", "tagline": "MCP server for fetch web page content using Playwright headless browser.", "description": "A Model Context Protocol (MCP) server that fetches web page content using Playwright headless browser. It allows AI models to retrieve rendered HTML or text from URLs via the MCP interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based AI tools that need reliable web page content, especially from dynamic sites", "useCases": [ "Feeding web page content to AI assistants through MCP", "Scraping JavaScript-rendered pages for data extraction", "Providing real-time web context for LLM-based tools" ], "pros": [ "Handles JavaScript-heavy pages that simple HTTP fetch cannot", "Uses Playwright, a modern and well-maintained browser automation tool", "Simple MCP integration for developers using compatible clients" ], "cons": [ "Requires a headless browser runtime, increasing resource usage", "Slower than lightweight HTTP fetching due to browser overhead", "Limited to MCP protocol; not a general-purpose scraping solution" ], "tags": [ "ai", "mcp", "playwright" ], "featured": false, "tier": "curated", "stars": 1051, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-01-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/jae-jae/fetcher-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "executeautomation-playwright-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jae-jae-fetcher-mcp" }, { "slug": "jae-jae-g-search-mcp", "name": "jae-jae/g-search-mcp", "vendor": "Various", "tagline": "A powerful MCP server for Google search that enables parallel searching with multiple keywords simultaneously.", "description": "A TypeScript-based MCP server that provides Google search capabilities to AI agents. It supports parallel execution of multiple keyword searches in a single request.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need fast, concurrent Google search capabilities", "useCases": [ "Run simultaneous Google searches for competitive analysis", "Fetch real-time web data for AI agent decision-making", "Batch query multiple search terms for research aggregation" ], "pros": [ "Parallel search reduces latency for multi-keyword queries", "Lightweight TypeScript implementation with clear MCP integration", "Active open-source project with 265 GitHub stars" ], "cons": [ "Requires a Google Custom Search API key and setup", "Limited to Google search results only", "No built-in rate limiting or caching for high-volume use" ], "tags": [ "google-search", "mcp", "playwright" ], "featured": false, "tier": "curated", "stars": 265, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-06-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/jae-jae/g-search-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jae-jae-g-search-mcp" }, { "slug": "jagan-shanmugam-climatiq-mcp-server", "name": "jagan-shanmugam/climatiq-mcp-server", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server for accessing the Climatiq API to calculate carbon emissions. This allows AI assistants to perform real-time carbon calculations and provide c", "description": "A Model Context Protocol (MCP) server that connects AI assistants to the Climatiq API for real-time carbon emission calculations. It enables climate impact insights by allowing assistants to query emission data on demand.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need carbon emission calculations", "useCases": [ "Calculating carbon footprint for travel or logistics", "Integrating climate impact data into AI-driven decision tools", "Providing real-time carbon emissions estimates via conversational interfaces" ], "pros": [ "Leverages the Climatiq API for accurate emission factors", "Enables AI assistants to perform carbon calculations without custom integrations", "Open source Python implementation with MCP standard" ], "cons": [ "Depends on Climatiq API availability and pricing", "Limited adoption (8 stars) may indicate early stage", "Requires API key and network access for each calculation" ], "tags": [ "anthropic-claude", "climate-data", "llm", "mcp" ], "featured": false, "tier": "curated", "stars": 8, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-03-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/jagan-shanmugam/climatiq-mcp-server", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jagan-shanmugam-climatiq-mcp-server" }, { "slug": "jagan-shanmugam-open-streetmap-mcp", "name": "jagan-shanmugam/open-streetmap-mcp", "vendor": "Various", "tagline": "An OpenStreetMap MCP server implementation that enhances LLM capabilities with location-based services and geospatial data.", "description": "An MCP server that gives LLMs access to OpenStreetMap data for location-based queries and geospatial operations. It exposes endpoints for geocoding, reverse geocoding, and map data retrieval through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building location-aware LLM applications or assistants that need geospatial context", "useCases": [ "Look up coordinates or addresses from place names", "Retrieve map features and points of interest for a given area", "Integrate geospatial context into LLM-driven applications" ], "pros": [ "Connects LLMs to real-world geographic data without custom API code", "Leverages the extensive and free OpenStreetMap dataset", "Simple MCP interface works with any compatible LLM host" ], "cons": [ "Depends on OpenStreetMap's availability and rate limits", "Limited to data that exists in OpenStreetMap (may lack local detail)", "Requires running or hosting the MCP server separately" ], "tags": [ "anthropic-claude", "llm", "mcp", "mcp-server", "openstreetmap" ], "featured": false, "tier": "curated", "stars": 196, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-07-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/jagan-shanmugam/open-streetmap-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "browsermcp-mcp", "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jagan-shanmugam-open-streetmap-mcp" }, { "slug": "jagan-shanmugam-mattermost-mcp-host", "name": "jagan-shanmugam/mattermost-mcp-host", "vendor": "Various", "tagline": "A Mattermost integration that connects to Model Context Protocol (MCP) servers, leveraging a LangGraph-based Agent.", "description": "This tool integrates Mattermost with Model Context Protocol (MCP) servers using a LangGraph-based agent. It allows users to interact with MCP tools and resources directly from Mattermost channels.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Teams using Mattermost who want to extend it with MCP-based tools and agents", "useCases": [ "Querying external data sources through MCP servers from Mattermost", "Automating workflows by invoking MCP tools via chat commands", "Building conversational agents that leverage MCP resources in team collaboration" ], "pros": [ "Bridges Mattermost with the growing MCP ecosystem", "Leverages LangGraph for flexible agent orchestration", "Open source with active development (34 stars)" ], "cons": [ "Requires running and managing separate MCP servers", "Limited to Python environment and LangGraph framework", "Small community and documentation may be sparse" ], "tags": [ "langgraph", "llm", "mattermost", "mcp", "mcp-clients" ], "featured": false, "tier": "curated", "stars": 34, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-04-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/jagan-shanmugam/mattermost-mcp-host", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "awslabs-mcp", "agent-infra-mcp-server-browser", "fastmcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jagan-shanmugam-mattermost-mcp-host" }, { "slug": "jagmarques-asqav-mcp", "name": "jagmarques/asqav-mcp", "vendor": "Various", "tagline": "MCP server for AI agent governance - quantum-safe audit trails, policy enforcement, threat detection. Works with Claude Desktop, Cursor, Claude Code.", "description": "A Model Context Protocol server that enforces AI agent governance through quantum-safe audit trails, policy enforcement, and threat detection. It integrates with Claude Desktop, Cursor, and Claude Code to log and verify agent actions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing auditable, policy-controlled AI agent interactions in regulated environments", "useCases": [ "Auditing AI agent actions with tamper-proof logs", "Enforcing usage policies on agent interactions", "Detecting anomalous or malicious agent behavior" ], "pros": [ "Quantum-safe audit trails provide strong security guarantees", "Works with multiple popular AI coding tools", "Lightweight Python implementation with few dependencies" ], "cons": [ "Limited to MCP-compatible clients only", "Small community and few real-world deployments", "No built-in visualization or dashboard for audit logs" ], "tags": [ "ai-agent", "ai-agents", "ai-governance", "ai-security", "audit-trail", "claude", "claude-code", "claude-desktop" ], "featured": false, "tier": "curated", "stars": 5, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/jagmarques/asqav-mcp", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jagmarques-asqav-mcp" }, { "slug": "jaipandya-producthunt-mcp-server", "name": "jaipandya/producthunt-mcp-server", "vendor": "Various", "tagline": "🐍 🏠 - MCP server for Product Hunt. Interact with trending posts, comments, collections, users, and more.", "description": "An open-source MCP (Model Context Protocol) server that exposes Product Hunt data such as trending posts, comments, collections, and users through a standardized interface. Built in Python, it enables AI agents and tools to query Product Hunt resources programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or tools that need to pull live trending data from Product Hunt.", "useCases": [ "Fetching today's trending Product Hunt posts for market research", "Retrieving recent comments on a specific Product Hunt launch", "Integrating Product Hunt user data into a chatbot or recommendation system" ], "pros": [ "Open source and free to self-host under the MCP standard", "Provides structured access to multiple Product Hunt endpoints (posts, comments, collections, users)", "Written in Python with a simple codebase for easy customization" ], "cons": [ "Relies on Product Hunt API keys which require separate registration and are subject to rate limits", "Small community (46 stars) may mean slower issue resolution or updates", "Requires a Python runtime and MCP client to be useful, limiting plug-and-play usage" ], "tags": [], "featured": false, "tier": "curated", "stars": 46, "language": [ "Python" ], "lastUpdated": "2025-04-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/jaipandya/producthunt-mcp-server", "relations": { "works_in": [ "cursor", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jaipandya-producthunt-mcp-server" }, { "slug": "james-chahwan-repo-graph", "name": "James-Chahwan/repo-graph", "vendor": "Various", "tagline": "Structural graph memory for AI coding assistants — MCP server for codebase navigation", "description": "An MCP server written in Rust that provides structural graph memory for AI coding assistants. It models a codebase as a graph of files, functions, and relationships to enable context-aware navigation during code generation and analysis.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using MCP-compatible AI coding assistants who need structured context from their codebase.", "useCases": [ "Give an AI coding assistant a structured graph of the entire codebase", "Improve code generation accuracy by supplying relevant code relationships", "Navigate large or unfamiliar repositories quickly through graph queries" ], "pros": [ "Lightweight and performant due to Rust implementation", "Integrates via the standard Model Context Protocol", "Open source and free to use" ], "cons": [ "Very early stage with minimal adoption (only 5 stars on GitHub)", "Limited documentation and community support", "Unclear compatibility with languages beyond the tool's own Rust parsing" ], "tags": [], "featured": false, "tier": "curated", "stars": 5, "language": [ "Rust" ], "license": "MIT", "lastUpdated": "2026-05-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/James-Chahwan/repo-graph", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/james-chahwan-repo-graph" }, { "slug": "jamesanz-bitcoin-mcp", "name": "JamesANZ/bitcoin-mcp", "vendor": "Various", "tagline": "An MCP server that provides real-time Bitcoin blockchain data.", "description": "An MCP server implemented in TypeScript that provides real-time Bitcoin blockchain data. It exposes current blockchain state, transaction details, and network statistics through the Model Context Protocol, allowing AI agents and tools to query Bitcoin information without running a full node.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-compatible AI tools that need real-time Bitcoin blockchain data without running a full node.", "useCases": [ "Fetching live Bitcoin price and market data for AI trading assistants", "Checking transaction confirmations and block inclusion for wallet applications", "Monitoring network hash rate and difficulty for blockchain analytics" ], "pros": [ "Offers real-time Bitcoin data through a standard MCP interface, simplifying integration", "No need to run a local Bitcoin node, reducing setup and resource requirements", "Written in TypeScript, providing type safety and ease of use for Node.js developers" ], "cons": [ "Very low star count suggests limited community testing and support", "Relies on external data providers; potential rate limits or API changes could affect reliability", "Documentation and examples are minimal due to the project's small size" ], "tags": [ "bitcoin", "llms", "mcp-server" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-12-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/JamesANZ/bitcoin-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jamesanz-bitcoin-mcp" }, { "slug": "jamesanz-cross-llm-mcp", "name": "JamesANZ/cross-llm-mcp", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server that provides access to multiple Large Language Model (LLM) APIs including ChatGPT, Claude, Gemini, Mistral, Kimi K2, and DeepSeek.", "description": "A Model Context Protocol (MCP) server that provides a unified interface to multiple LLM APIs including ChatGPT, Claude, Gemini, Mistral, Kimi K2, and DeepSeek. It allows developers to switch between models or route requests through a single MCP endpoint without changing client code.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a unified MCP-based gateway to multiple LLM APIs", "useCases": [ "Unifying access to multiple LLM providers behind one MCP endpoint", "Seamlessly switching between different models during development or testing", "Building applications that can leverage diverse AI capabilities through a standardized protocol" ], "pros": [ "Supports a broad range of major LLM providers", "Standardized MCP interface simplifies integration", "Open source with a clear TypeScript codebase for customization" ], "cons": [ "Low community adoption (15 stars) may indicate limited support and documentation", "Requires managing multiple API keys and provider configurations", "MCP protocol is less commonly used than direct API calls, adding potential complexity" ], "tags": [ "chatgpt", "claude", "deepseek", "gemini", "grok", "kimi-k2", "llms", "mcp-server" ], "featured": false, "tier": "curated", "stars": 15, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/JamesANZ/cross-llm-mcp", "relations": { "works_in": [ "claude-code", "cursor", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "litellm" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jamesanz-cross-llm-mcp" }, { "slug": "jamesanz-evm-mcp", "name": "JamesANZ/evm-mcp", "vendor": "Various", "tagline": "An MCP server that provides complete access to Ethereum Virtual Machine (EVM) JSON-RPC methods. Works with any EVM-compatible node provider including Infura, Alchemy, QuickNode, lo", "description": "An MCP server that exposes all Ethereum Virtual Machine JSON-RPC methods as tools. It can connect to any EVM-compatible node provider such as Infura, Alchemy, QuickNode, or a local node.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based tools or agents that require direct interaction with EVM blockchains", "useCases": [ "Querying blockchain state and transaction data via MCP tools", "Sending transactions or interacting with smart contracts programmatically", "Building MCP-based agents that need direct EVM node access" ], "pros": [ "Supports any EVM-compatible node provider, giving flexibility", "Provides complete JSON-RPC method coverage through the MCP protocol", "Written in TypeScript for type safety and ease of integration" ], "cons": [ "Very low star count indicates limited community adoption and testing", "No documented examples or usage guidance beyond the repository", "May lack robust error handling or edge case coverage" ], "tags": [ "evm", "llms", "mcp-server" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-12-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/JamesANZ/evm-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jamesanz-evm-mcp" }, { "slug": "jamesanz-medical-mcp", "name": "JamesANZ/medical-mcp", "vendor": "Various", "tagline": "An MCP server that provides comprehensive medical information by querying multiple authoritative medical APIs including FDA, WHO, PubMed, Google Scholar, and RxNorm", "description": "JamesANZ/medical-mcp is an MCP server that queries multiple authoritative medical APIs including FDA, WHO, PubMed, Google Scholar, and RxNorm. It aggregates medical information into a unified interface for AI agents or other clients. The tool is written in TypeScript and is open source.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building medical knowledge assistants that need access to FDA, PubMed, and RxNorm data", "useCases": [ "Pulling FDA drug data for clinical decision support", "Retrieving medical literature from PubMed and Google Scholar", "Looking up medication terminology via RxNorm" ], "pros": [ "Combines several reputable medical data sources in one place", "Open source with a permissive license for customization", "Uses the standard MCP protocol for easy integration with AI assistants" ], "cons": [ "Relies on upstream API keys for some sources, adding setup overhead", "Small community (94 stars) may limit long-term maintenance", "Medical accuracy is dependent on the quality of the underlying APIs, not the tool itself" ], "tags": [ "fda", "google-scholar", "llms", "mcp-server", "pubmed", "rxnorm", "who" ], "featured": false, "tier": "curated", "stars": 94, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-02-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/JamesANZ/medical-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "oraios-serena" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jamesanz-medical-mcp" }, { "slug": "jamesanz-memory-mcp", "name": "JamesANZ/memory-mcp", "vendor": "Various", "tagline": "A simple MCP server that stores and retrieves memories from multiple LLMs.", "description": "An open-source Model Context Protocol server written in TypeScript that stores and retrieves conversation memories across multiple large language models. It provides a simple API for persisting and recalling context, enabling LLMs to maintain state between interactions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a lightweight, standards-based memory layer for LLM applications", "useCases": [ "Adding persistent memory to multi-turn LLM conversations", "Sharing context across different chat sessions or models", "Building applications that require long-term recall of user interactions" ], "pros": [ "Straightforward MCP server design with clear functionality", "Written in TypeScript for type safety and broad compatibility", "Open-source with an MIT license allowing free use and modification" ], "cons": [ "Early-stage project with only 17 stars on GitHub, limited community validation", "Minimal documentation and no listed examples or usage guides", "No built-in persistence beyond the server process (likely in-memory storage)" ], "tags": [ "llm-memory", "llms", "mcp-server" ], "featured": false, "tier": "curated", "stars": 17, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-12-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/JamesANZ/memory-mcp", "relations": { "works_in": [ "cline", "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jamesanz-memory-mcp" }, { "slug": "jamesanz-system-prompts-mcp-server", "name": "JamesANZ/system-prompts-mcp-server", "vendor": "Various", "tagline": "Model Context Protocol server exposing system prompt files and summaries.", "description": "A Model Context Protocol server that exposes system prompt files and their summaries. It allows MCP clients to retrieve and manage system prompts stored in files.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers already using MCP who need a straightforward way to expose system prompt files.", "useCases": [ "Serving system prompts to MCP-compatible AI assistants", "Organizing prompt files with summaries for team collaboration", "Integrating prompt management into existing MCP workflows" ], "pros": [ "Simple TypeScript implementation with clear MCP integration", "Lightweight and focused on a single task", "Open source and easy to modify or extend" ], "cons": [ "Limited to system prompts only, not general prompting", "Requires an MCP client to be useful", "Low community adoption (5 stars) may mean less support" ], "tags": [ "llms", "mcp", "mcp-server", "prompts", "system-prompts" ], "featured": false, "tier": "curated", "stars": 5, "language": [ "TypeScript" ], "license": "GPL-3.0", "lastUpdated": "2025-12-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/JamesANZ/system-prompts-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "awslabs-mcp", "fastmcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jamesanz-system-prompts-mcp-server" }, { "slug": "jamesanz-prediction-market-mcp", "name": "JamesANZ/prediction-market-mcp", "vendor": "Various", "tagline": "A simple MCP server that grabs prediction market data from polymarket, PredictIt, & Kalshi.", "description": "A lightweight MCP server that fetches real-time prediction market data from Polymarket, PredictIt, and Kalshi. It exposes structured market information through the Model Context Protocol for use by AI agents and developer tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need live prediction market odds without writing custom scrapers.", "useCases": [ "Query current odds and volumes across multiple prediction markets", "Integrate market data into AI agents for research or analysis", "Compare contract prices between Polymarket, PredictIt, and Kalshi" ], "pros": [ "Simple setup with a single MCP server configuration", "Covers three major prediction market platforms", "Written in TypeScript with clear, minimal codebase" ], "cons": [ "Limited to read-only data retrieval, no trading or order placement", "Small community with only 34 stars and likely minimal maintenance", "No built-in caching or rate limiting for high-frequency queries" ], "tags": [ "cryptocurrency", "llms", "mcp-server", "prediction", "prediction-markets" ], "featured": false, "tier": "curated", "stars": 34, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-01-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/JamesANZ/prediction-market-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jamesanz-prediction-market-mcp" }, { "slug": "jamesanz-us-legal-mcp", "name": "JamesANZ/us-legal-mcp", "vendor": "Various", "tagline": "An MCP server that provides comprehensive US legislation.", "description": "An MCP server that provides comprehensive US legislation. It exposes legal data through the Model Context Protocol, allowing AI assistants to query and retrieve US laws and statutes.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need reliable access to US legal texts", "useCases": [ "Integrate US legal references into AI-powered research tools", "Automate compliance checks by querying current legislation", "Build legal document analysis assistants with up-to-date law data" ], "pros": [ "Open source and written in TypeScript for easy integration", "Leverages the MCP standard for interoperability with AI clients", "Provides a structured way to access US legislation programmatically" ], "cons": [ "Limited community adoption with only 31 stars", "Requires self-hosting and maintenance of the server", "Scope is restricted to US legislation only" ], "tags": [ "law", "legal", "legislation", "llm", "usa" ], "featured": false, "tier": "curated", "stars": 31, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/JamesANZ/us-legal-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "cline", "cursor" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jamesanz-us-legal-mcp" }, { "slug": "jamjet-labs-jamjet", "name": "jamjet-labs/jamjet", "vendor": "Various", "tagline": "The open-source safety layer for AI agents — block unsafe tool calls, require approval, enforce budgets, audit, replay.", "description": "An open-source safety layer for AI agents. It blocks unsafe tool calls, requires approval, enforces budgets, and provides audit and replay capabilities.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Teams building AI agents that need safety and audit controls without vendor lock-in", "useCases": [ "Enforcing spending limits on agent tool usage", "Requiring human approval for sensitive tool calls", "Auditing and replaying agent actions for compliance" ], "pros": [ "Open-source and self-hostable, no vendor lock-in", "Built in Rust for performance and reliability", "Provides multiple safety controls in one tool: approval, budgets, audit, replay" ], "cons": [ "Early stage project with small community (13 stars)", "Adds latency and overhead to agent workflows", "Requires integration effort with existing agent frameworks" ], "tags": [ "a2a", "agent-memory", "agent-safety", "agentic-ai", "ai-agents", "ai-governance", "ai-safety", "approval-workflows" ], "featured": false, "tier": "curated", "stars": 13, "language": [ "Rust" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/jamjet-labs/jamjet", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "auto-gpt", "openhands", "autogen" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jamjet-labs-jamjet" }, { "slug": "jamsusmaximus-trainingpeaks-mcp", "name": "JamsusMaximus/trainingpeaks-mcp", "vendor": "Various", "tagline": "TrainingPeaks MCP server for Claude Desktop, Code and Cowork. No API approval needed - works with any account. Query workouts, CTL/ATL/TSB fitness data, power PRs via natural langu", "description": "TrainingPeaks MCP server for Claude Desktop, Code and Cowork. It queries workouts, CTL/ATL/TSB fitness data, and power PRs via natural language without requiring API approval.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Athletes and coaches who want to query TrainingPeaks fitness metrics through Claude's interface", "useCases": [ "Ask Claude for your current CTL/ATL/TSB values in natural language", "Retrieve recent workout summaries and power PRs from TrainingPeaks", "Integrate fitness data into AI-assisted training log analysis" ], "pros": [ "Works with any TrainingPeaks account, no API approval needed", "Natural language queries reduce manual data lookup", "Open source Python project with 76 GitHub stars" ], "cons": [ "Limited to TrainingPeaks data only", "Requires Claude Desktop or compatible MCP client", "No built-in visualization or export features" ], "tags": [ "claude", "claude-desktop", "cycling", "fitness", "mcp", "mcp-server", "model-context-protocol", "running" ], "featured": false, "tier": "curated", "stars": 76, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/JamsusMaximus/trainingpeaks-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jamsusmaximus-trainingpeaks-mcp" }, { "slug": "janadasroor-pg-mnemosyne-mcp", "name": "Janadasroor/pg-mnemosyne-mcp", "vendor": "Various", "tagline": "🧠 A high-performance PostgreSQL-backed MCP server acting as a super memory, task tracker, and dynamic database manager for AI agents. Features built-in connection pooling, a profe", "description": "A PostgreSQL-backed MCP server that provides persistent memory, task tracking, and dynamic database management for AI agents. It uses connection pooling and a shared multi-agent coordination hub to prevent coding conflicts in real-time.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building multi-agent systems that need persistent memory and task coordination", "useCases": [ "Give AI agents long-term memory across sessions", "Track and manage tasks with a professional schema", "Coordinate multiple agents to avoid code conflicts" ], "pros": [ "Built-in connection pooling for efficient database access", "Shared coordination hub prevents real-time conflicts", "Professional tasks schema for structured tracking" ], "cons": [ "Requires a running PostgreSQL instance", "Zero stars and limited community adoption", "No clear documentation on setup or usage" ], "tags": [ "agentic-ai", "ai-memory", "asyncpg", "claude-code", "database-management", "fastmcp", "gemini-cli", "mcp" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/Janadasroor/pg-mnemosyne-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "eyaltoledano-claude-task-master" ], "alternative_to": [ "topoteretes-cognee" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/janadasroor-pg-mnemosyne-mcp" }, { "slug": "janaraj-tnl", "name": "janaraj/tnl", "vendor": "Various", "tagline": "Structured English contracts for AI coding agents — proposed by the agent, approved by you, saved on disk, read by every future session.", "description": "A TypeScript tool that lets AI coding agents propose structured English contracts for their behavior. You approve or reject each contract, it is saved to disk, and every future session reads the same rules. This creates a persistent, auditable agreement between you and the agent.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want consistent agent behavior across many sessions without writing code", "useCases": [ "Define and enforce coding conventions across agent sessions", "Audit what rules an agent has followed in past work", "Onboard new agents to a project's agreed constraints" ], "pros": [ "Persistent rules reduce repetitive agent corrections", "Approval workflow gives you control without micromanaging", "Simple structured English is easy to read and edit" ], "cons": [ "Requires manual approval for each new contract", "Only works with agents that support the contract format", "No built-in conflict resolution if contracts contradict" ], "tags": [ "agent-workflow", "ai-agents", "claude-code", "cli", "codex", "coding-agents", "contracts", "llm" ], "featured": false, "tier": "curated", "stars": 7, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/janaraj/tnl", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "pydantic-pydantic-ai-mcp-run-python" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/janaraj-tnl" }, { "slug": "janswist-mcp-dexscreener", "name": "janswist/mcp-dexscreener", "vendor": "Various", "tagline": "Dexscreener API's MCP server - let your AI agent check any on-chain price using Dexscreener's free and open API", "description": "An MCP server that wraps the Dexscreener API, enabling AI agents to query on-chain token prices. It uses JavaScript to provide a standardized interface for fetching real-time price data from Dexscreener's free and open API.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need quick, read-only access to on-chain token prices", "useCases": [ "Check current token prices on any supported blockchain", "Integrate on-chain price data into AI agent workflows", "Monitor token price changes programmatically via MCP" ], "pros": [ "Leverages a free and open API with no authentication required", "Simple MCP interface for easy integration with AI agents", "Lightweight JavaScript implementation with low overhead" ], "cons": [ "Limited to Dexscreener's supported chains and tokens", "Dependent on Dexscreener API uptime and rate limits", "Small community (17 stars) may mean limited support or updates" ], "tags": [], "featured": false, "tier": "curated", "stars": 17, "language": [ "JavaScript" ], "lastUpdated": "2025-04-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/janswist/mcp-dexscreener", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/janswist-mcp-dexscreener" }, { "slug": "janreges-ai-distiller-mcp", "name": "janreges/ai-distiller-mcp", "vendor": "Various", "tagline": "AI Distiller is ultra‑fast, open‑source tool for intelligently extracting only the essential public APIs, types, and structure from large codebases. Compresses 90–98% of code into", "description": "An ultra-fast, open-source tool written in C that extracts only essential public APIs, types, and structure from large codebases. It compresses code by 90–98% to produce AI-friendly context, integrating via CLI or MCP (Model Context Protocol) and supporting 12+ languages.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to feed large codebases into LLMs cheaply and efficiently", "useCases": [ "Reduce token usage when sending large codebases to LLMs", "Extract clean public interfaces for AI-assisted code generation or analysis", "Prepare minimal code context for cost-effective prompt workflows" ], "pros": [ "Extremely fast due to implementation in C", "Open source with no vendor lock-in", "Significant token savings (90–98% compression)" ], "cons": [ "Only captures public APIs and types, losing internal implementation details", "Limited community adoption (159 stars) may mean fewer integrations or fewer tested edge cases", "Requires familiarity with MCP or CLI for integration" ], "tags": [], "featured": false, "tier": "curated", "stars": 159, "language": [ "C" ], "license": "MIT", "lastUpdated": "2026-05-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/janreges/ai-distiller", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp", "pydantic-pydantic-ai-mcp-run-python" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/janreges-ai-distiller-mcp" }, { "slug": "jarvisassistantux-loopsense", "name": "jarvisassistantux/loopsense", "vendor": "Various", "tagline": "LoopSense is an open-source MCP server that closes the feedback loop for AI coding agents — giving them real-time visibility into CI results, deployments, test outcomes, and file s", "description": "LoopSense is an open-source MCP server that provides AI coding agents with real-time feedback from CI results, deployments, test outcomes, and file system changes. It closes the feedback loop so agents can react to events without manual polling. Built with TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need real-time awareness of development pipeline events", "useCases": [ "Monitoring CI/CD pipeline results for agent-driven debugging", "Triggering actions based on test outcome changes", "Providing real-time file system event data to coding agents" ], "pros": [ "Open source and free to use", "Reduces manual polling by exposing live events", "Simple MCP protocol integration with existing agent frameworks" ], "cons": [ "Very early stage with only 1 GitHub star", "Requires an MCP-compatible agent to function", "Limited documentation and community support" ], "tags": [ "ai-agent", "ci-cd", "claude-code", "developer-tools", "github-actions", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/jarvisassistantux/loopsense", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp", "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jarvisassistantux-loopsense" }, { "slug": "jasonjmcghee-claude-debugs-for-you", "name": "jasonjmcghee/claude-debugs-for-you", "vendor": "Various", "tagline": "Enable any LLM (e.g. Claude) to interactively debug any language for you via MCP and a VS Code Extension", "description": "Enables LLMs like Claude to debug code interactively in any programming language. Works through the Model Context Protocol (MCP) and a VS Code extension. The LLM can step through code, inspect variables, and fix issues.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want an interactive LLM debugging assistant within VS Code", "useCases": [ "Debugging a failing test case", "Finding root cause of runtime errors", "Stepping through unfamiliar code with LLM assistance" ], "pros": [ "Works with multiple LLMs (Claude, etc.)", "Supports debugging in any language", "Open source with active community (510 stars)" ], "cons": [ "Requires VS Code and MCP setup", "Interactive debugging may be slower than automated analysis", "Depends on LLM's ability to understand code context" ], "tags": [ "anthropic", "autodebug", "automation", "claude", "context", "debug", "debugging", "debugging-tool" ], "featured": false, "tier": "curated", "stars": 510, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-12-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/jasonjmcghee/claude-debugs-for-you", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jasonjmcghee-claude-debugs-for-you" }, { "slug": "jasonwilbur-cloud-cost-mcp", "name": "jasonwilbur/cloud-cost-mcp", "vendor": "Various", "tagline": "Model Context Protocol server for Cloud Infrastructure pricing information", "description": "A Model Context Protocol server that provides cloud infrastructure pricing information. It allows AI agents to query current pricing data for cloud services through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to query cloud pricing data programmatically", "useCases": [ "Retrieve real-time pricing for cloud compute instances", "Compare costs across different cloud providers", "Integrate cost data into AI-driven infrastructure planning tools" ], "pros": [ "Provides a standardized MCP interface for cloud pricing queries", "Written in TypeScript for type safety and easy integration", "Lightweight and focused on a single domain" ], "cons": [ "Limited to pricing data only, no cost optimization or billing features", "Low community adoption with only 3 stars on GitHub", "Dependent on external pricing APIs which may have rate limits or accuracy issues" ], "tags": [ "aws", "azure", "claude-code", "cloud", "finops", "gcp", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-02-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/jasonwilbur/cloud-cost-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jasonwilbur-cloud-cost-mcp" }, { "slug": "jasonwilbur-oci-pricing-mcp", "name": "jasonwilbur/oci-pricing-mcp", "vendor": "Various", "tagline": "OCI Pricing MCP Server - Model Context Protocol server for Oracle Cloud Infrastructure pricing information", "description": "A Model Context Protocol server that exposes Oracle Cloud Infrastructure pricing information. It allows AI assistants and MCP clients to query OCI service costs programmatically. Built in TypeScript, it provides a structured interface for retrieving pricing data.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants or automation tools that need to look up Oracle Cloud pricing on demand", "useCases": [ "Query pricing for specific OCI services and regions", "Integrate cost estimation into AI-powered cloud planning tools", "Compare pricing across different OCI resource configurations" ], "pros": [ "Provides a standardized MCP interface for OCI pricing data", "Lightweight and easy to integrate with MCP-compatible clients", "Written in TypeScript for type safety and maintainability" ], "cons": [ "Very low community adoption (3 stars) suggests limited testing or support", "May not cover all OCI services or pricing tiers comprehensively", "Requires an MCP client to be useful, adding a dependency" ], "tags": [ "ai", "claude", "cloud", "mcp", "model-context-protocol", "model-context-protocol-servers", "oci", "oracle" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-02-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/jasonwilbur/oci-pricing-mcp", "relations": { "works_in": [ "claude-code", "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jasonwilbur-oci-pricing-mcp" }, { "slug": "jaspertvdm-mcp-server-gemini-bridge", "name": "jaspertvdm/mcp-server-gemini-bridge", "vendor": "Various", "tagline": "MCP Server - Bridge to Google Gemini API. Part of HumoticaOS/SymbAIon ecosystem.", "description": "This tool is an MCP server that bridges applications to the Google Gemini API. It is part of the HumoticaOS/SymbAIon ecosystem and is distributed as a Dockerfile for containerized deployment.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to connect Gemini to MCP-enabled tools within the SymbAIon environment", "useCases": [ "Connect Gemini models to MCP-compatible clients and workflows", "Integrate Gemini into the SymbAIon AI orchestration platform", "Deploy a Gemini bridge via Docker for development or production" ], "pros": [ "Lightweight Docker-based setup for easy deployment", "Tight integration with the HumoticaOS/SymbAIon ecosystem", "Simplifies access to Google Gemini through the MCP protocol" ], "cons": [ "Very low GitHub stars indicate minimal adoption and community", "No source code beyond a Dockerfile, limiting customization", "Requires familiarity with the niche SymbAIon ecosystem" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "Dockerfile" ], "license": "MIT", "lastUpdated": "2026-01-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/jaspertvdm/mcp-server-gemini-bridge", "relations": { "works_in": [ "cursor" ], "uses": [ "docker" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jaspertvdm-mcp-server-gemini-bridge" }, { "slug": "jaspertvdm-mcp-server-ollama-bridge", "name": "jaspertvdm/mcp-server-ollama-bridge", "vendor": "Various", "tagline": "MCP Server - Bridge to local Ollama LLM. Part of HumoticaOS/SymbAIon ecosystem.", "description": "A Docker-based MCP server that bridges the Model Context Protocol to a local Ollama LLM instance. Part of the HumoticaOS/SymbAIon ecosystem, it enables local AI inference through MCP-compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with local LLMs and the Model Context Protocol", "useCases": [ "Connect MCP clients to a locally running Ollama model", "Run private LLM inference without external API calls", "Integrate local AI into MCP-based development workflows" ], "pros": [ "Keeps all data local for privacy and offline use", "No API costs or rate limits", "Simple Docker deployment" ], "cons": [ "Very early stage with only 1 star and minimal community", "Requires Ollama to be installed and configured separately", "Limited documentation and ecosystem support" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "Dockerfile" ], "license": "MIT", "lastUpdated": "2026-01-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/jaspertvdm/mcp-server-ollama-bridge", "relations": { "works_in": [], "uses": [ "ollama", "docker" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jaspertvdm-mcp-server-ollama-bridge" }, { "slug": "jau123-meigen-ai-design-mcp", "name": "jau123/MeiGen-AI-Design-MCP", "vendor": "Various", "tagline": "Supports GPT Image 2, Nanobanana & ComfyUI, with a 1,400+ prompt library, carefully crafted hooks and a multi-task orchestration system", "description": "An MCP server that integrates GPT Image 2, Nanobanana, and ComfyUI into a unified interface. It provides a 1,400+ prompt library, custom hooks, and a multi-task orchestration system for managing AI image generation workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building automated image generation pipelines with multiple AI backends", "useCases": [ "Orchestrating multi-step image generation pipelines across different models", "Accessing a curated library of prompts for rapid prototyping", "Building custom hooks to extend or automate design workflows" ], "pros": [ "Large built-in prompt library saves time on prompt engineering", "Supports multiple image generation backends in one tool", "Multi-task orchestration enables complex, automated workflows" ], "cons": [ "Dependency on third-party services (GPT Image 2, Nanobanana, ComfyUI) may introduce reliability issues", "Limited to the specific models and tools integrated", "Requires familiarity with MCP and TypeScript for customization" ], "tags": [ "ai-image-generation", "claude", "claude-code", "comfyui", "lovart", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 1341, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/jau123/MeiGen-AI-Design-MCP", "relations": { "works_in": [], "uses": [ "comfyui" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jau123-meigen-ai-design-mcp" }, { "slug": "javimaligno-mcp-server-bitbucket", "name": "JaviMaligno/mcp-server-bitbucket", "vendor": "Various", "tagline": "MCP server for Bitbucket API operations", "description": "A Python implementation of the Model Context Protocol (MCP) server that exposes Bitbucket API operations, allowing AI assistants to interact with Bitbucket resources like repositories and pull requests.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers prototyping AI integrations with Bitbucket using the Model Context Protocol", "useCases": [ "Automate pull request creation and review", "Query repository details and file contents", "Trigger Bitbucket workflows from AI prompts" ], "pros": [ "Lightweight Python-based MCP server", "Direct integration with AI assistants via standard protocol", "Open source with permissive license" ], "cons": [ "Very low community engagement (1 star)", "Limited documentation and feature coverage", "Potential instability or lack of updates" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/JaviMaligno/mcp-server-bitbucket", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [ "sooperset-mcp-atlassian" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/javimaligno-mcp-server-bitbucket" }, { "slug": "javimaligno-postgres-mcp", "name": "JaviMaligno/postgres_mcp", "vendor": "Various", "tagline": "The only postgress MCP server I have been able to connect to my docker postgres", "description": "A Python-based MCP server for PostgreSQL that connects to a Docker-hosted PostgreSQL instance. It was created by a user to enable MCP connectivity to a local Docker PostgreSQL database. The repository has 9 stars and is maintained by various contributors.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a quick MCP bridge to a Docker PostgreSQL database", "useCases": [ "Connecting an MCP client to a Docker PostgreSQL database", "Running PostgreSQL queries through an MCP interface", "Integrating PostgreSQL with MCP-based development tools" ], "pros": [ "Works specifically with Docker PostgreSQL setups", "Lightweight Python implementation", "Simple to use for basic MCP connectivity" ], "cons": [ "Very few stars indicate limited community testing", "May lack production-ready features", "Documentation or support may be minimal" ], "tags": [], "featured": false, "tier": "curated", "stars": 9, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-01-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/JaviMaligno/postgres_mcp", "relations": { "works_in": [], "uses": [ "docker" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/javimaligno-postgres-mcp" }, { "slug": "jcdickinson-simplemem", "name": "jcdickinson/simplemem", "vendor": "Various", "tagline": "A very simple semantic MCP memory store", "description": "A minimal semantic memory store implemented in Go for MCP-based applications. It provides basic storage and retrieval of semantic data with a simple interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a no-frills semantic memory store for small MCP projects", "useCases": [ "Store and retrieve semantic memory entries", "Integrate memory into MCP-enabled applications", "Lightweight data persistence for AI workflows" ], "pros": [ "Extremely simple design with minimal setup", "Single Go binary, easy to deploy", "Open source with permissive licensing" ], "cons": [ "Very limited features beyond basic storage", "No community adoption (zero GitHub stars)", "Unknown documentation and maintenance status" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Go" ], "license": "LGPL-3.0", "lastUpdated": "2025-09-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/jcdickinson/simplemem", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jcdickinson-simplemem" }, { "slug": "jdubois-azure-cli-mcp", "name": "jdubois/azure-cli-mcp", "vendor": "Various", "tagline": "A wrapper around the Azure CLI command line that allows you to talk directly to Azure", "description": "A wrapper that exposes Azure CLI commands through the Model Context Protocol, enabling natural language interaction with Azure resources. It translates user requests into Azure CLI commands and returns structured results.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers managing Azure infrastructure who prefer conversational interfaces over command line syntax", "useCases": [ "Provision and manage Azure resources via chat interfaces", "Query Azure infrastructure state without memorizing CLI commands", "Automate routine Azure operations through conversational agents" ], "pros": [ "Direct access to full Azure CLI functionality through MCP", "Reduces need to recall complex Azure CLI syntax", "Leverages existing Azure authentication and permissions" ], "cons": [ "Requires MCP compatible host or client", "Dependent on Azure CLI installation and configuration", "Limited to actions Azure CLI itself supports" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/jdubois/azure-cli-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jdubois-azure-cli-mcp" }, { "slug": "jeannier-homebrew-mcp", "name": "jeannier/homebrew-mcp", "vendor": "Various", "tagline": "Homebrew MCP : Comprehensive brew support for installing, upgrading, searching, and maintaining macOS packages.", "description": "A Model Context Protocol server that exposes Homebrew commands as tools for AI assistants. It lets you install, upgrade, search, and maintain macOS packages through natural language or API calls. Built in Python, it translates MCP requests into Homebrew CLI operations.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to manage macOS packages through AI assistants or chat interfaces", "useCases": [ "Install a macOS package via an AI assistant", "Search for available Homebrew formulae", "Upgrade all outdated packages on a machine" ], "pros": [ "Integrates Homebrew package management directly into MCP-compatible AI tools", "Supports common brew operations like install, upgrade, search, and list", "Lightweight, open-source Python implementation" ], "cons": [ "Requires Homebrew to be installed on the target machine", "Limited to macOS only; no Linux support", "Small community and relatively few stars may indicate limited adoption" ], "tags": [], "featured": false, "tier": "curated", "stars": 29, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-06-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/jeannier/homebrew-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "wonderwhy-er-desktopcommandermcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jeannier-homebrew-mcp" }, { "slug": "jawdat6-fixgraph-mcp", "name": "jawdat6/fixgraph-mcp", "vendor": "Various", "tagline": "jawdat6/fixgraph-mcp — indexed from awesome-mcp-servers-punkpeye", "description": "A Model Context Protocol server implemented in JavaScript for fixing graph-related data. It provides a lightweight interface to correct or validate graph structures within MCP-based workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a basic MCP server for graph fixing in experimental or small-scale projects", "useCases": [ "Fixing graph data in AI agent pipelines", "Validating graph structures before processing", "Integrating graph corrections into MCP-compatible tools" ], "pros": [ "Simple JavaScript implementation easy to modify", "Open source with permissive license", "Lightweight and focused on a single task" ], "cons": [ "Very low star count suggests limited community trust", "Minimal documentation or usage examples", "May lack robustness for production use" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/jawdat6/fixgraph-mcp", "relations": { "works_in": [ "claude-code", "cursor", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jawdat6-fixgraph-mcp" }, { "slug": "jen6-ticktick-mcp", "name": "jen6/ticktick-mcp", "vendor": "Various", "tagline": "Enhance your TickTick workflow with MCP server. Better filtering interface", "description": "A Python-based MCP server that provides a better filtering interface for TickTick task management. It connects to the TickTick API to enable advanced task queries and filtering beyond the native app capabilities.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who use TickTick and want to query tasks via AI assistants or MCP-enabled tools", "useCases": [ "Filter and retrieve TickTick tasks with custom criteria from AI assistants", "Integrate TickTick task management into MCP-compatible development workflows", "Automate task queries and reporting using natural language prompts" ], "pros": [ "Enhances TickTick with more flexible filtering than the default interface", "Open-source Python project with 65 GitHub stars and active community", "Leverages MCP protocol for easy integration with AI tools" ], "cons": [ "Requires TickTick API credentials and setup", "Limited to filtering and querying; no task creation or editing features", "Dependent on MCP-compatible clients for full utility" ], "tags": [], "featured": false, "tier": "curated", "stars": 65, "language": [ "Python" ], "lastUpdated": "2025-07-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/jen6/ticktick-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "eyaltoledano-claude-task-master" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jen6-ticktick-mcp" }, { "slug": "jetbrains-mcpproxy", "name": "jetbrains/mcpProxy", "vendor": "Various", "tagline": "A model context protocol server to work with JetBrains IDEs: IntelliJ, PyCharm, WebStorm, etc. Also, works with Android Studio", "description": "jetbrains/mcpProxy is a Model Context Protocol server that enables AI assistants to interact with JetBrains IDEs like IntelliJ, PyCharm, WebStorm, and Android Studio. It bridges MCP-compatible clients with IDE features such as code navigation, refactoring, and file editing.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using JetBrains IDEs who want to connect AI assistants for code automation", "useCases": [ "Automating code refactoring across multiple files in a JetBrains IDE", "Navigating and querying project structure via AI chat clients", "Integrating external MCP tools with Android Studio workflows" ], "pros": [ "Direct integration with multiple JetBrains IDEs via a single proxy", "Leverages MCP standard for compatibility with diverse AI clients", "Open-source with active community and 950+ GitHub stars" ], "cons": [ "Requires a running JetBrains IDE instance to function", "Limited to JetBrains ecosystem; no support for other editors", "JavaScript-based runtime may introduce latency for large projects" ], "tags": [ "ide", "intellij", "jetbrains", "mcp", "mcp-server", "pycharm" ], "featured": false, "tier": "curated", "stars": 958, "language": [ "JavaScript" ], "license": "Apache-2.0", "lastUpdated": "2026-01-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/JetBrains/mcpProxy", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "cline", "cursor", "roocode" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jetbrains-mcpproxy" }, { "slug": "jhinresh-maiat-protocol", "name": "JhiNResH/maiat-protocol", "vendor": "Various", "tagline": "The trust layer for agentic commerce. Trust oracle for AI agents and tokens — powered by on-chain behavioral data, community reviews, and EAS attestations.", "description": "A trust oracle protocol that aggregates on-chain behavioral data, community reviews, and EAS attestations to establish verifiable trust for AI agents and tokens in agentic commerce. It provides a decentralized trust layer that enables agents to assess counterparty reliability before transactions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with trust mechanisms for AI agents in decentralized commerce", "useCases": [ "Verifying agent reputations before autonomous commerce transactions", "Building trust-based access controls for tokenized AI services", "Integrating on-chain attestations into agent decision-making workflows" ], "pros": [ "Leverages on-chain data and EAS for tamper-evident trust records", "Combines behavioral analytics with community feedback for richer reputation", "Open-source TypeScript implementation for easy integration" ], "cons": [ "Very early stage with only 2 GitHub stars and minimal community adoption", "Relies on Ethereum Attestation Service, limiting cross-chain portability", "Requires substantial integration effort to become practically usable" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/JhiNResH/maiat-protocol", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jhinresh-maiat-protocol" }, { "slug": "jhomen368-overseerr-mcp", "name": "jhomen368/overseerr-mcp", "vendor": "Various", "tagline": "Model Context Protocol (MCP) server for Overseerr and Seerr (the unified successor) - enables AI assistants to search, request, and manage media through your Seer instance", "description": "A Model Context Protocol (MCP) server that enables AI assistants to search, request, and manage media through a Seer instance (Overseerr or its unified successor Seerr). It implements the MCP standard to provide a programmatic interface for media management tasks.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need to manage media requests through Overseerr or Seerr", "useCases": [ "Searching for movies or TV shows via an AI assistant", "Requesting media additions to a media server", "Managing existing media requests and their status" ], "pros": [ "Lightweight JavaScript implementation for easy integration", "Standardized MCP interface allows use with any compatible AI assistant", "Open source and free to use" ], "cons": [ "Limited community adoption (14 stars) suggests early-stage project", "Requires a running Overseerr or Seerr instance to function", "Potential for breaking changes due to low maturity" ], "tags": [], "featured": false, "tier": "curated", "stars": 14, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/jhomen368/overseerr-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jhomen368-overseerr-mcp" }, { "slug": "jhomen368-steam-reviews-mcp", "name": "jhomen368/steam-reviews-mcp", "vendor": "Various", "tagline": "Search Steam games, fetch user reviews, and analyze sentiment with topic drill-down to make informed purchasing decisions.", "description": "An MCP server that lets AI agents search Steam games and fetch user reviews. It provides sentiment analysis with topic drill-down to help evaluate game quality. Written in TypeScript, it integrates into LLM workflows for informed purchasing decisions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents for gaming insights or review analysis", "useCases": [ "Researching game reception before buying", "Aggregating review sentiment for game recommendations", "Analyzing review topics for market research" ], "pros": [ "Direct access to Steam review data", "Enables AI-driven game evaluation", "Simple MCP integration for agents" ], "cons": [ "Low GitHub stars indicate early stage development", "Dependent on Steam API availability and rate limits", "Limited to review data only" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/jhomen368/steam-reviews-mcp", "relations": { "works_in": [ "continue", "cline", "claude-code" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jhomen368-steam-reviews-mcp" }, { "slug": "jiayao-mcp-chess", "name": "jiayao/mcp-chess", "vendor": "Various", "tagline": "MCP server for playing chess against AI", "description": "An MCP server that lets you play chess against an AI opponent. It exposes chess game actions as MCP tools, enabling AI assistants to make moves, read board state, and manage games programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need a turn-based game interaction for demos or testing", "useCases": [ "Integrate chess gameplay into an AI assistant or chat interface", "Build a tool that lets an LLM play chess against a user or another AI", "Test and demonstrate MCP server capabilities with a turn-based game" ], "pros": [ "Simple, focused implementation for a single game", "Lets AI assistants interact with a structured turn-based game", "Easy to extend or modify for custom chess logic" ], "cons": [ "Limited to chess, not a general-purpose tool", "Small community (22 stars) and minimal documentation", "Requires an MCP-compatible client to use" ], "tags": [], "featured": false, "tier": "curated", "stars": 22, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2025-05-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/jiayao/mcp-chess", "relations": { "works_in": [ "cursor", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jiayao-mcp-chess" }, { "slug": "jimfilippou-things-mcp", "name": "jimfilippou/things-mcp", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server that provides seamless integration with the Things productivity app.", "description": "A Model Context Protocol server that connects AI assistants to the Things productivity app. It enables reading and managing tasks, projects, and areas through the MCP interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "macOS users who want to connect Things to AI coding assistants", "useCases": [ "Integrating Things task management with AI assistants", "Creating and updating tasks programmatically via MCP", "Querying project lists and deadlines from an AI tool" ], "pros": [ "Open source and free to use", "Leverages the Model Context Protocol for broad AI tool compatibility", "Lightweight JavaScript implementation" ], "cons": [ "Only available on macOS (Things is macOS-only)", "Dependent on the Things app being installed and running", "Small user base may mean slower updates or bug fixes" ], "tags": [], "featured": false, "tier": "curated", "stars": 8, "language": [ "JavaScript" ], "lastUpdated": "2025-09-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/jimfilippou/things-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "elie222-inbox-zero", "eyaltoledano-claude-task-master" ], "alternative_to": [ "eyaltoledano-claude-task-master" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jimfilippou-things-mcp" }, { "slug": "jimmyracheta-ai-runtime-guard", "name": "jimmyracheta/AI-Runtime-Guard", "vendor": "Various", "tagline": "runtime-guard", "description": "A Python library that enforces runtime constraints on AI model outputs, validating against predefined rules or schemas. It intercepts model responses and checks them against guard policies before returning to the caller.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a lightweight, self-hosted guardrail for LLM outputs in Python applications.", "useCases": [ "Blocking harmful or off-topic LLM outputs in production", "Validating structured data from model responses against a schema", "Enforcing content safety policies in real-time inference pipelines" ], "pros": [ "Lightweight and easy to integrate into existing Python services", "Provides a simple policy definition interface for common constraints", "Open source with a permissive license for customization" ], "cons": [ "Small community and limited documentation due to low star count", "May not cover complex or multi-step validation scenarios", "Requires manual policy authoring for each use case" ], "tags": [], "featured": false, "tier": "curated", "stars": 14, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/runtimeguard/runtime-guard", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "langchain", "litellm" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jimmyracheta-ai-runtime-guard" }, { "slug": "jinning6-noosphere", "name": "JinNing6/Noosphere", "vendor": "Various", "tagline": "🧠 The Collective Memory Network for AI Agents — Where every agent learns from the wisdom of all. 万物智识，归于一圈。", "description": "Noosphere is a Python framework for building a collective memory network where AI agents share and retrieve knowledge from a shared repository. It enables agents to learn from the aggregated experiences of all agents in the network.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with shared memory architectures for multi-agent systems", "useCases": [ "Building multi-agent systems with shared memory", "Creating collaborative AI agents that learn from each other", "Implementing persistent knowledge sharing across agent sessions" ], "pros": [ "Enables knowledge reuse across agents without retraining", "Simple Python implementation for rapid prototyping", "Open source with permissive license" ], "cons": [ "Very early stage with only 15 GitHub stars and limited community", "No documentation or examples beyond the repository description", "Scalability and performance for large agent networks are unproven" ], "tags": [], "featured": false, "tier": "curated", "stars": 15, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/JinNing6/Noosphere", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "topoteretes-cognee", "upstash-context7", "vectorize-io-hindsight" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jinning6-noosphere" }, { "slug": "jinzcdev-leetcode-mcp-server", "name": "jinzcdev/leetcode-mcp-server", "vendor": "Various", "tagline": "An MCP server enabling automated access to LeetCode's problems, solutions, and public data with optional authentication for user-specific features, supporting leetcode.com & leetco", "description": "An MCP server that provides automated access to LeetCode problems, solutions, and public data. It supports both leetcode.com and leetcode.cn with optional authentication for user-specific features. The server exposes data through the Model Context Protocol for integration with compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI tools that need LeetCode problem data", "useCases": [ "Fetching LeetCode problem descriptions and test cases programmatically", "Automating solution retrieval for code review or analysis", "Integrating LeetCode data into AI coding assistants via MCP" ], "pros": [ "Open source TypeScript implementation with 115 stars", "Supports both leetcode.com and leetcode.cn domains", "Optional authentication enables access to user-specific data" ], "cons": [ "Relies on LeetCode's public API which may change without notice", "Small community size may limit support and contributions", "Requires an MCP-compatible client to use the server" ], "tags": [ "ai", "algorithm", "lc", "leetcode", "llm", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 115, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/jinzcdev/leetcode-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jinzcdev-leetcode-mcp-server" }, { "slug": "jinzcdev-markmap-mcp-server", "name": "jinzcdev/markmap-mcp-server", "vendor": "Various", "tagline": "An MCP server for converting Markdown to interactive mind maps with export support (PNG/JPG/SVG).", "description": "A TypeScript MCP server that converts Markdown content into interactive mind maps. It supports exporting the generated maps as PNG, JPG, or SVG files, enabling developers to integrate visual mapping directly into their tools and workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-assisted tools that need to produce mind maps from structured text", "useCases": [ "Convert hierarchical Markdown notes into mind maps for brainstorming or review", "Generate visual summaries of documentation or meeting notes for dashboards", "Export mind maps to image formats for embedding in presentations or reports" ], "pros": [ "Leverages the MCP protocol for easy integration with LLM tools and custom pipelines", "Provides multiple export formats (PNG, JPG, SVG) for flexible use across platforms", "Simple, focused functionality with a clear Markdown-to-map conversion" ], "cons": [ "Limited to Markdown input and may not handle complex data structures or non-hierarchical content", "Dependent on the MCP ecosystem, which is still emerging and has fewer mainstream integrations", "No built-in editing or post-processing beyond the initial conversion and export" ], "tags": [ "ai", "llm", "markmap", "mcp", "mcp-server", "mindmap", "mindnode", "xmind" ], "featured": false, "tier": "curated", "stars": 205, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/jinzcdev/markmap-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "microsoft-markitdown" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jinzcdev-markmap-mcp-server" }, { "slug": "jj-cheng25-weixin-articles-mcp", "name": "jj-cheng25/weixin-articles-mcp", "vendor": "Various", "tagline": "MCP server for reading WeChat (微信) Official Account articles with native multimodal output - images and video keyframes as content blocks, not URLs.", "description": "An MCP server that reads WeChat Official Account articles and returns native multimodal content blocks including images and video keyframes. It outputs these as content blocks rather than URLs, enabling direct use in MCP-compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based tools that need to consume WeChat article content with embedded media.", "useCases": [ "Extract images and video keyframes from WeChat articles for analysis or display", "Integrate WeChat article content into MCP-based workflows or agents", "Automate retrieval of WeChat Official Account posts with embedded media" ], "pros": [ "Delivers images and video keyframes as native content blocks, not just URLs", "Focused specifically on WeChat Official Account articles, a niche need", "Written in Python, easy to extend or modify" ], "cons": [ "Very low community adoption (2 stars) suggests limited testing or support", "Only works with WeChat Official Account articles, not general web content", "May require additional setup or authentication for WeChat access" ], "tags": [ "ai-agents", "claude", "gongzhonghao", "llm-tools", "mcp", "mcp-server", "model-context-protocol", "multimodal" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/jj-cheng25/weixin-articles-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "klavis-ai-youtube", "lharries-whatsapp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jj-cheng25-weixin-articles-mcp" }, { "slug": "jjlabsio-korea-stock-mcp", "name": "jjlabsio/korea-stock-mcp", "vendor": "Various", "tagline": "MCP Server for Korean stock analysis. 한국 주식 분석을 위한 MCP 서버입니다.", "description": "An MCP server that provides Korean stock market data and analysis tools. It connects to Korean exchange APIs and exposes structured endpoints for querying stock prices, financials, and market trends.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or tools that need Korean stock market data", "useCases": [ "Retrieve real-time and historical Korean stock prices", "Analyze financial statements and key ratios for KOSPI/KOSDAQ stocks", "Build automated trading or portfolio monitoring agents" ], "pros": [ "Focused specifically on Korean markets, filling a gap in MCP ecosystem", "TypeScript implementation with clear API structure", "Active community with 139 stars and ongoing maintenance" ], "cons": [ "Limited to Korean equities, no support for other global markets", "Requires understanding of MCP protocol and local exchange data sources", "May need API keys or additional setup for full data access" ], "tags": [], "featured": false, "tier": "curated", "stars": 139, "language": [ "TypeScript" ], "license": "ISC", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/jjlabsio/korea-stock-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "antv-mcp-server-chart", "haris-musa-excel-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jjlabsio-korea-stock-mcp" }, { "slug": "jjsantos01-jupyter-notebook-mcp", "name": "jjsantos01/jupyter-notebook-mcp", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) for Jupyter Notebook", "description": "A Model Context Protocol (MCP) server that connects AI assistants to Jupyter Notebook environments. It allows agents to execute code, create and modify notebooks, and inspect outputs through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to execute and inspect Python code in Jupyter notebooks", "useCases": [ "Automating notebook creation and cell execution from AI prompts", "Running data analysis scripts in Jupyter via an MCP client", "Integrating Jupyter workflows into agent-based development tools" ], "pros": [ "Enables direct AI interaction with live Jupyter kernels", "Lightweight and focused on a single, well-defined protocol", "Open source with a growing community (129 stars)" ], "cons": [ "Requires an MCP-compatible client to be useful", "Limited to Jupyter Notebook environments only", "Relatively new project with fewer integrations and documentation" ], "tags": [], "featured": false, "tier": "curated", "stars": 129, "language": [ "Jupyter Notebook" ], "license": "MIT", "lastUpdated": "2025-04-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/jjsantos01/jupyter-notebook-mcp", "relations": { "works_in": [ "cline", "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "pydantic-pydantic-ai-mcp-run-python" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jjsantos01-jupyter-notebook-mcp" }, { "slug": "jktfe-servemyapi", "name": "Jktfe/serveMyAPI", "vendor": "Various", "tagline": "📇 🏠 🍎 - A personal MCP (Model Context Protocol) server for securely storing and accessing API keys across projects using the macOS Keychain.", "description": "A personal Model Context Protocol (MCP) server that stores and retrieves API keys securely using the macOS Keychain. It exposes a standardized MCP interface for other tools to access credentials without exposing them in plaintext.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "macOS developers who need a lightweight, secure way to serve API keys to MCP-enabled tools.", "useCases": [ "Securely manage API keys for multiple projects in a macOS development environment", "Integrate with MCP-compatible clients to access credentials at runtime", "Replace hardcoded API keys or environment variable files with system-level key storage" ], "pros": [ "Leverages the built-in macOS Keychain for strong, OS-level encryption", "Simple MCP interface makes it easy to plug into existing workflows", "Open-source TypeScript codebase allows inspection and customization" ], "cons": [ "macOS-only due to Keychain dependency (no Windows/Linux support)", "Limited to MCP protocol clients, not a general-purpose credential manager", "Small community (24 stars) means fewer resources and slower iteration" ], "tags": [], "featured": false, "tier": "curated", "stars": 24, "language": [ "TypeScript" ], "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/Jktfe/serveMyAPI", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jktfe-servemyapi" }, { "slug": "jmrplens-gitlab-mcp-server", "name": "jmrplens/gitlab-mcp-server", "vendor": "Various", "tagline": "Open source GitLab MCP server for AI assistants: 2-tool dynamic find/execute over 870+ GitLab actions (1,000+ Enterprise), stdio/HTTP/OAuth, safe/read-only modes.", "description": "An open source GitLab MCP server that lets AI assistants interact with GitLab via two tools: dynamic find and execute. It covers over 870 GitLab actions (1,000+ for Enterprise) and supports stdio, HTTP, and OAuth transports with safe/read-only modes.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to give AI assistants direct GitLab access with safety controls", "useCases": [ "Automate GitLab project management tasks through an AI assistant", "Search, create, or update merge requests programmatically", "Integrate AI with GitLab for read-only auditing of projects" ], "pros": [ "Open source and written in Go for easy deployment", "Supports a large number of GitLab actions out of the box", "Includes safe and read-only modes for risk reduction" ], "cons": [ "Limited to only two tools (find and execute) for all operations", "Requires GitLab administrator access to set up OAuth", "May have a learning curve for configuring transports and permissions" ], "tags": [ "ai-tools", "gitlab", "gitlab-api", "go", "llm", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 8, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/jmrplens/gitlab-mcp-server", "relations": { "works_in": [ "cline", "continue", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jmrplens-gitlab-mcp-server" }, { "slug": "jkiley129-steam-mcp", "name": "jkiley129/steam-mcp", "vendor": "Various", "tagline": "MCP server that exposes your Steam library to Claude. Ask natural-language questions about your games.", "description": "A Model Context Protocol server that connects Claude to a user's Steam library. It enables natural language queries about owned games, playtime, and other library data.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to query their Steam library through Claude", "useCases": [ "Ask Claude which games you own but haven't played", "Query total playtime across your Steam library", "Find games in your library by genre or tag" ], "pros": [ "Simple natural language interface for Steam library data", "Lightweight TypeScript implementation", "Works with existing Claude setup via MCP" ], "cons": [ "Limited to library queries, no store or community features", "Requires Steam API key and manual configuration", "Small community and few stars, may lack long-term support" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/jkiley129/steam-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jkiley129-steam-mcp" }, { "slug": "jnmetacode-shellward", "name": "jnMetaCode/shellward", "vendor": "Various", "tagline": "AI Agent Security Middleware — 8-layer defense, DLP data flow, prompt injection detection, zero dependencies. SDK + MCP server for Claude Code, Cursor, LangChain, Hermes Agent & mo", "description": "Shellward is a security middleware for AI agents. It provides an 8-layer defense system with data loss prevention (DLP) and prompt injection detection. The tool includes an SDK and an MCP server for integration with Claude Code, Cursor, LangChain, Hermes Agent, and similar platforms.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agent systems that need a drop-in security and DLP layer", "useCases": [ "Securing AI agent interactions from prompt injection attacks", "Enforcing data loss prevention policies on agent data flows", "Adding a security layer to custom AI agent pipelines using the SDK" ], "pros": [ "Zero external dependencies reduces integration risk", "Multi-layer defense offers broad coverage for common AI agent attacks", "Compatible with multiple popular AI agent frameworks and tools" ], "cons": [ "Low GitHub star count (101) suggests limited community adoption", "Vendor listed as 'Various' may indicate unclear long-term maintenance", "MCP server configuration may add overhead for simple use cases" ], "tags": [ "agent-security", "ai-agent", "ai-firewall", "ai-safety", "ai-security", "claude-code", "cursor", "data-exfiltration" ], "featured": false, "tier": "curated", "stars": 101, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-05-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/jnMetaCode/shellward", "relations": { "works_in": [ "claude-code", "cursor", "langchain" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jnmetacode-shellward" }, { "slug": "joelio-stocky", "name": "joelio/stocky", "vendor": "Various", "tagline": "An MCP server for searching and downloading stock photography.", "description": "An MCP server that enables AI assistants to search and download stock photography directly. It provides a standardized interface for querying stock photo libraries and retrieving image files through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need to source stock photography programmatically", "useCases": [ "Integrating stock photo search into AI-powered workflows", "Automating image sourcing for content generation", "Enabling AI assistants to locate and fetch stock images" ], "pros": [ "Provides a standardized MCP interface for stock photo search", "Written in Python, easy to extend or customize", "Enables AI agents to directly fetch images without manual browsing" ], "cons": [ "Limited to searching and downloading; no image editing or metadata manipulation", "Requires external API keys for stock photo providers", "Small community (20 stars) may limit support and updates" ], "tags": [], "featured": false, "tier": "curated", "stars": 20, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-11-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/joelio/stocky", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/joelio-stocky" }, { "slug": "joepangallo-mcp-server-agentpay", "name": "joepangallo/mcp-server-agentpay", "vendor": "Various", "tagline": "MCP server for AgentPay — payment gateway for autonomous AI agents. Discover, provision, and pay for MCP tool APIs.", "description": "This MCP server integrates AgentPay, a payment gateway designed for autonomous AI agents. It enables agents to discover, provision, and pay for MCP tool APIs through a standardized interface. Built in JavaScript, it facilitates programmatic access to API payment workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building autonomous AI agents that need to pay for external APIs", "useCases": [ "Enable AI agents to pay for API calls autonomously", "Discover available MCP tools that require payment", "Provision API access tokens programmatically" ], "pros": [ "Standardizes payment handling for MCP ecosystem", "Enables autonomous agent payments without human intervention", "JavaScript implementation works in Node.js environments" ], "cons": [ "Zero stars indicates limited community adoption", "Relies on external AgentPay service for transactions", "May require additional infrastructure for production use" ], "tags": [ "ai-agent", "claude", "llm", "mcp", "mcp-server", "model-context-protocol", "payment-gateway", "tool-marketplace" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/joepangallo/mcp-server-agentpay", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/joepangallo-mcp-server-agentpay" }, { "slug": "joergmichno-clawguard-mcp", "name": "joergmichno/clawguard-mcp", "vendor": "Various", "tagline": "MCP Server for ClawGuard Shield — security scanning via Model Context Protocol.", "description": "An MCP server that exposes ClawGuard Shield security scanning through the Model Context Protocol. It lets AI agents and tools invoke ClawGuard scans directly via standard MCP messages.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-aware agents that need on-demand vulnerability scanning via ClawGuard", "useCases": [ "Integrate vulnerability scanning into AI-assisted code review workflows", "Enable AI agents to perform security checks on files or repositories", "Add ClawGuard Shield capabilities to MCP-compatible assistants" ], "pros": [ "Brings security scanning functionality into MCP-native applications", "Open source Python implementation, easy to extend or audit", "Leverages ClawGuard Shield without requiring custom API bridges" ], "cons": [ "Zero stars and minimal community adoption suggest limited reliability or maturity", "Depends on ClawGuard Shield infrastructure, adding external setup overhead", "No detailed documentation or usage examples beyond the repository description" ], "tags": [ "ai-security", "claude-desktop", "mcp", "mcp-server", "model-context-protocol", "prompt-injection" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/joergmichno/clawguard-mcp", "relations": { "works_in": [ "claude-code", "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/joergmichno-clawguard-mcp" }, { "slug": "joeybrar-agentseal-mcp", "name": "JoeyBrar/agentseal-mcp", "vendor": "Various", "tagline": "MCP server for AgentSeal. Cryptographic audit trails for AI agents", "description": "An MCP server that adds cryptographic audit trails for AI agents. It enables verifiable logging of agent actions using cryptographic signatures. Built in JavaScript for integration with AI agent frameworks.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that require verifiable action logs", "useCases": [ "Logging agent decisions with cryptographic proof", "Verifying the integrity of agent actions", "Building audit-compliant AI agent systems" ], "pros": [ "Provides cryptographic verification for agent actions", "Standard MCP protocol makes integration straightforward", "Open source and modifiable" ], "cons": [ "Very early stage with only 1 GitHub star", "Limited documentation or community support", "JavaScript only, no other language bindings" ], "tags": [ "ai-agents", "audit", "audit-log", "audit-trail", "compliance", "hash-chain", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/JoeyBrar/agentseal-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/joeybrar-agentseal-mcp" }, { "slug": "johannesbrandenburger-typst-mcp", "name": "johannesbrandenburger/typst-mcp", "vendor": "Various", "tagline": "Typst MCP Server is an MCP (Model Context Protocol) implementation that helps AI models interact with Typst, a markup-based typesetting system. The server provides tools for conver", "description": "Typst MCP Server is an MCP implementation that enables AI models to interact with Typst, a markup-based typesetting system. It provides tools for converting between LaTeX and Typst, validating Typst syntax, and generating images from Typst code.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI tools that need to generate or process Typst documents", "useCases": [ "Converting LaTeX documents to Typst format for AI-assisted typesetting", "Validating Typst syntax in AI-generated content before rendering", "Generating preview images from Typst code for visual feedback" ], "pros": [ "Open source with 157 stars on GitHub", "Python-based, easy to integrate into AI workflows", "Supports multiple Typst operations through a single MCP server" ], "cons": [ "Requires a Python environment to run", "Limited to Typst ecosystem, not a general typesetting tool", "Conversion quality may vary for complex LaTeX documents" ], "tags": [ "llm", "mcp", "pandoc", "typst" ], "featured": false, "tier": "curated", "stars": 157, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/johannesbrandenburger/typst-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "microsoft-markitdown" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/johannesbrandenburger-typst-mcp" }, { "slug": "johnanleitner1-coder-lastminutedeals-api", "name": "johnanleitner1-Coder/lastminutedeals-api", "vendor": "Various", "tagline": "FOR SALE $8K — Production AI travel booking engine. 47 live suppliers, 18 countries, MCP server (Smithery + Glama), Stripe payments, OCTO/Bokun API. See /for-sale page.", "description": "A production-ready travel booking API engine for sale. It integrates 47 live suppliers across 18 countries, uses an MCP server with Smithery and Glama, and handles payments via Stripe. Built with Python and the OCTO/Bokun API.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building a commercial travel booking product who need a ready-made multi-supplier engine", "useCases": [ "Build a travel booking platform with multi-supplier inventory", "Integrate hotel or activity bookings into an existing app", "Deploy a white-label booking engine with Stripe payments" ], "pros": [ "Covers 47 suppliers in 18 countries for broad inventory", "Includes MCP server for easy integration with AI agents", "Production-tested with Stripe payment processing" ], "cons": [ "Priced at $8,000, not a free or open-source tool", "Zero GitHub stars may indicate limited community or track record", "Relies on third-party APIs (OCTO/Bokun) which may have their own limitations" ], "tags": [ "ai-agent", "booking", "fastapi", "for-sale", "mcp", "mcp-server", "micro-acquisition", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/johnanleitner1-Coder/lastminutedeals-api", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/johnanleitner1-coder-lastminutedeals-api" }, { "slug": "johnneerdael-netskope-mcp", "name": "johnneerdael/netskope-mcp", "vendor": "Various", "tagline": "🔒 ☁️ - An MCP to give access to all Netskope Private Access components within a Netskope Private Access environments including detailed setup information and LLM examples on usage", "description": "An MCP server that exposes Netskope Private Access components for programmatic access. It provides setup details and LLM usage examples for interacting with Netskope environments.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers managing Netskope Private Access who want to automate tasks via MCP", "useCases": [ "Automating Netskope Private Access configuration and management", "Integrating Netskope security controls into AI agent workflows", "Querying Netskope environment status via MCP tools" ], "pros": [ "Directly integrates Netskope Private Access with MCP-compatible clients", "Includes setup documentation and LLM examples for quick adoption", "Written in TypeScript for type safety and modern tooling" ], "cons": [ "Limited to Netskope Private Access, not general Netskope features", "Small community with only 6 stars, indicating early-stage project", "Requires existing Netskope environment and credentials to use" ], "tags": [], "featured": false, "tier": "curated", "stars": 6, "language": [ "TypeScript" ], "lastUpdated": "2026-05-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/johnneerdael/netskope-mcp", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/johnneerdael-netskope-mcp" }, { "slug": "jonradoff-lightcms", "name": "jonradoff/lightcms", "vendor": "Various", "tagline": "Lightweight content management system for websites, built for the AI era", "description": "A lightweight content management system written in Go, designed for websites. It emphasizes simplicity and performance while incorporating features suited for AI-era workflows. The project is open source with limited community adoption (17 GitHub stars).", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Go developers seeking a minimal, open-source CMS with modern AI-oriented design", "useCases": [ "Building fast, minimal Go-based websites with content management", "Prototyping or deploying small-to-medium sites without heavy dependencies", "Experimenting with AI integration in a simple CMS environment" ], "pros": [ "Lightweight and fast due to Go's performance and small binary size", "Simple architecture, easy to understand and modify for custom needs", "No large framework overhead, ideal for lean deployments" ], "cons": [ "Very small community and limited documentation or support", "Lacks mature features and plugins found in established CMS platforms", "Unproven stability for production use at scale" ], "tags": [ "agentic-workflow", "content-management-system", "mcp", "website-development", "websites" ], "featured": false, "tier": "curated", "stars": 17, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-03-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/jonradoff/lightcms", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jonradoff-lightcms" }, { "slug": "joinly-ai-joinly", "name": "joinly-ai/joinly", "vendor": "Various", "tagline": "Make your meetings accessible to AI Agents", "description": "A Python library that bridges meeting platforms with AI agent workflows. It enables AI agents to join, listen, and interact in virtual meetings by providing a unified interface for real-time audio and video streams.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to access meeting content", "useCases": [ "Integrating AI assistants into virtual meetings", "Automating meeting transcription and analysis", "Building AI agents that participate in real-time discussions" ], "pros": [ "Open source with an active community (522 stars)", "Python-based, easy to integrate into existing AI pipelines", "Simplifies connecting multiple meeting platforms to AI agents" ], "cons": [ "Limited documentation or examples may slow onboarding", "Requires additional setup for specific meeting platform APIs", "Dependency on third-party services for audio/video access" ], "tags": [ "agentic-ai", "ai-agent", "ai-tool", "conversational-ai", "llm", "mcp", "meeting-agent", "meeting-assistant" ], "featured": false, "tier": "curated", "stars": 522, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/joinly-ai/joinly", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "browsermcp-mcp", "mediar-ai-screenpipe" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/joinly-ai-joinly" }, { "slug": "jordandalton-doordash-mcp-server", "name": "jordandalton/doordash-mcp-server", "vendor": "Various", "tagline": "🐍 – DoorDash Delivery (Unofficial)", "description": "An unofficial Model Context Protocol (MCP) server for DoorDash delivery, written in TypeScript. It exposes DoorDash functionality to AI agents via the MCP standard, enabling programmatic ordering and tracking.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building experimental AI agents that need to order food delivery programmatically", "useCases": [ "Ordering food delivery from DoorDash through an AI assistant", "Tracking the status of existing DoorDash deliveries", "Integrating DoorDash into automated workflows and agentic systems" ], "pros": [ "Open source with a straightforward TypeScript codebase", "Leverages the MCP protocol for easy integration with AI agents", "Small and focused—does one thing without bloat" ], "cons": [ "Unofficial, so it may break without notice if DoorDash changes its API", "Limited community support and documentation due to low stars (24)", "Requires users to obtain and manage their own DoorDash credentials" ], "tags": [], "featured": false, "tier": "curated", "stars": 24, "language": [ "TypeScript" ], "lastUpdated": "2025-04-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/JordanDalton/DoorDash-MCP-Server", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jordandalton-doordash-mcp-server" }, { "slug": "jordanlyall-wc26-mcp", "name": "jordanlyall/wc26-mcp", "vendor": "Various", "tagline": "AI companion for FIFA World Cup 2026 — 18 tools covering matches, teams, venues, city guides, fan zones, visa info, head-to-head records, and more. Works with Claude, ChatGPT, Curs", "description": "An MCP server that provides 18 tools for FIFA World Cup 2026 data, including matches, teams, venues, city guides, fan zones, visa info, and head-to-head records. It integrates with Claude, ChatGPT, Cursor, and Telegram via the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants or chatbots that need up-to-date World Cup 2026 information", "useCases": [ "Query match schedules and team rosters for World Cup 2026", "Get venue details and city guides for travel planning", "Look up visa requirements and fan zone information" ], "pros": [ "Covers a wide range of World Cup data in one tool", "Works with multiple popular AI assistants and platforms", "Written in TypeScript for type safety and easy extension" ], "cons": [ "Limited to World Cup 2026 data only", "Dependent on external data sources that may change", "Small community with only 7 stars on GitHub" ], "tags": [ "ai", "chatgpt", "claude", "fifa-2026", "football", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 7, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/jordanlyall/wc26-mcp", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jordanlyall-wc26-mcp" }, { "slug": "jordinei-mcp-databricks-server", "name": "JordiNei/mcp-databricks-server", "vendor": "Various", "tagline": "MCP Server for Databricks", "description": "An open-source Python server that exposes Databricks workspace resources through the Model Context Protocol. It allows MCP-compatible AI agents to interact with Databricks clusters, jobs, and notebooks via a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building agentic workflows that need read/write access to Databricks resources", "useCases": [ "Retrieve status of Databricks job runs from an agent", "List and inspect available clusters in a workspace", "Trigger notebook executions and check results programmatically" ], "pros": [ "Lightweight Python implementation easy to extend", "Compatible with any MCP client (e.g., Claude, custom agents)", "Open source with permissive licensing" ], "cons": [ "Small community (49 stars) and limited documentation", "Requires a Databricks API token and workspace URL", "Feature set likely basic; may miss advanced Databricks APIs" ], "tags": [], "featured": false, "tier": "curated", "stars": 49, "language": [ "Python" ], "lastUpdated": "2025-04-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/JordiNeil/mcp-databricks-server", "relations": { "works_in": [ "cline", "cursor", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jordinei-mcp-databricks-server" }, { "slug": "jordandalton-restcsv-mcp-server", "name": "jordandalton/restcsv-mcp-server", "vendor": "Various", "tagline": "MCP Server for RestCSV, Generated using MCPGen", "description": "A Model Context Protocol server that enables AI agents to query REST APIs and return results as CSV. Built with MCPGen in TypeScript, it translates natural language requests into structured CSV data from web services.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a quick bridge between REST APIs and CSV-based AI agent pipelines", "useCases": [ "Fetching API data and converting it to CSV for analysis", "Integrating REST endpoints into AI agent workflows", "Automating data extraction from web APIs without custom code" ], "pros": [ "Simple setup with MCPGen for quick deployment", "Direct CSV output simplifies downstream processing", "Lightweight TypeScript implementation" ], "cons": [ "Limited to 12 GitHub stars indicates early-stage adoption", "Dependent on MCPGen framework compatibility", "No built-in error handling or retry logic documented" ], "tags": [], "featured": false, "tier": "curated", "stars": 12, "language": [ "TypeScript" ], "lastUpdated": "2025-04-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/JordanDalton/RestCsvMcpServer", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jordandalton-restcsv-mcp-server" }, { "slug": "jorgenclaw-nostr-mcp-server", "name": "jorgenclaw/nostr-mcp-server", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server that provides Nostr capabilities to AI agents", "description": "An open-source Model Context Protocol (MCP) server written in JavaScript that exposes Nostr protocol capabilities to AI agents. It allows agents to read events, post notes, and search content on the Nostr decentralized social network through standardized MCP tool interfaces.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to interact with the Nostr protocol", "useCases": [ "Reading public Nostr events and timelines", "Posting notes and messages to Nostr", "Searching for Nostr content by filters" ], "pros": [ "Open source and free to use or modify", "Written in JavaScript, easy to integrate with Node.js projects", "Follows the MCP standard for interoperability with AI agent frameworks" ], "cons": [ "Zero stars on GitHub indicates very low adoption or early stage", "Limited documentation and community support", "Reliability depends on external Nostr relays and network conditions" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/jorgenclaw/nostr-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp", "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jorgenclaw-nostr-mcp-server" }, { "slug": "joshuarileydev-app-store-connect-mcp-server", "name": "joshuarileydev/app-store-connect-mcp-server", "vendor": "Various", "tagline": "📇 🏠 - An MCP server to communicate with the App Store Connect API for iOS Developers", "description": "An MCP server that wraps the App Store Connect API, enabling iOS developers to manage app metadata, releases, and analytics through natural language or automated workflows. It uses TypeScript and communicates via the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "iOS developers who want to automate or chat with App Store Connect tasks", "useCases": [ "Query app analytics and sales reports via chat", "Automate app version submissions and metadata updates", "Manage testflight builds and user invitations" ], "pros": [ "Simplifies App Store Connect interactions for non-Apple tools", "Open source with active community (324 stars)", "TypeScript codebase is easy to extend or audit" ], "cons": [ "Requires Apple Developer account and API key setup", "Limited to App Store Connect operations only", "Dependent on MCP client compatibility" ], "tags": [], "featured": false, "tier": "curated", "stars": 324, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-09-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/JoshuaRileyDev/app-store-connect-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mobile-next-mobile-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/joshuarileydev-app-store-connect-mcp-server" }, { "slug": "joshuarileydev-mac-apps-launcher-mcp-server", "name": "joshuarileydev/mac-apps-launcher-mcp-server", "vendor": "Various", "tagline": "📇 🏠 - An MCP server to list and launch applications on MacOS", "description": "An MCP server that lists and launches macOS applications. It uses the Model Context Protocol to expose app discovery and launch actions to compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to control macOS applications through MCP-compatible AI assistants or automation pipelines.", "useCases": [ "Launch apps from an AI assistant via MCP", "List installed macOS applications programmatically", "Automate app-based workflows with MCP-enabled tools" ], "pros": [ "Simple focused feature set for listing and launching apps", "Leverages the standard MCP protocol for interoperability", "Lightweight JavaScript implementation easy to extend" ], "cons": [ "Only works on macOS, no cross-platform support", "Limited to listing and launching; no deeper app management like windows or preferences", "Small community (18 stars) with limited documentation" ], "tags": [], "featured": false, "tier": "curated", "stars": 18, "language": [ "JavaScript" ], "lastUpdated": "2024-12-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/JoshuaRileyDev/mac-apps-launcher", "relations": { "works_in": [ "cursor", "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/joshuarileydev-mac-apps-launcher-mcp-server" }, { "slug": "josuem1109-personal-finance-mcp", "name": "JosueM1109/personal-finance-mcp", "vendor": "Various", "tagline": "Self-hosted, read-only MCP server for personal finance. Connect your banks via Plaid and query them from Claude Code.", "description": "A self-hosted, read-only MCP server that connects to your bank accounts via Plaid and allows querying financial data from Claude Code. It runs locally and exposes account balances and transactions through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to query their personal finances from Claude Code using a self-hosted MCP server", "useCases": [ "Ask Claude Code for your current account balance across linked banks", "Query recent transactions or spending patterns from a natural language prompt", "Integrate personal finance data into automated budgeting or reporting workflows" ], "pros": [ "Read-only access reduces risk of accidental modifications", "Self-hosted keeps sensitive financial data on your own infrastructure", "Leverages Plaid's broad bank connectivity for wide account support" ], "cons": [ "Requires a Plaid developer account and API keys to set up", "Limited to read operations only, no transaction creation or bill pay", "Small community with only 3 GitHub stars, limited support and documentation" ], "tags": [ "claude", "claude-code", "fastmcp", "mcp", "mcp-server", "model-context-protocol", "personal-finance", "plaid" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/JosueM1109/personal-finance-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/josuem1109-personal-finance-mcp" }, { "slug": "jovancoding-network-ai", "name": "Jovancoding/Network-AI", "vendor": "Various", "tagline": "Traffic light for AI Agents and TypeScript/Node multi-agent orchestrator with shared state, guardrails, and adapters for 29 AI frameworks", "description": "A TypeScript/Node multi-agent orchestrator that coordinates AI agents with shared state and guardrails. It includes adapters for 29 AI frameworks, acting as a traffic light to manage agent execution flow.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building multi-agent systems in TypeScript/Node who need framework-agnostic coordination and guardrails", "useCases": [ "Orchestrating multiple AI agents in a TypeScript backend", "Enforcing guardrails on agent inputs and outputs", "Integrating diverse AI frameworks through a single interface" ], "pros": [ "Supports 29 AI frameworks via adapters, reducing integration effort", "Built-in shared state and guardrails simplify multi-agent coordination", "Uses TypeScript for type safety in Node environments" ], "cons": [ "Low GitHub star count (59) suggests limited community adoption or validation", "No documented production use cases or performance benchmarks", "Orchestrator's 'traffic light' abstraction may add complexity for simple agent setups" ], "tags": [ "agent-framework", "agent-orchestration", "ai-agents", "autogen", "blackboard", "blackboard-architecture", "crewai", "hermes" ], "featured": false, "tier": "curated", "stars": 59, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/Jovancoding/Network-AI", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jovancoding-network-ai" }, { "slug": "joshuarileydev-supabase-mcp-server", "name": "joshuarileydev/supabase-mcp-server", "vendor": "Various", "tagline": "Supabase MCP Server for managing and creating projects and organisations in Supabase", "description": "This Node.js project provides a Model Context Protocol (MCP) server that lets developers manage and create Supabase projects and organizations through AI assistants. It wraps the Supabase Management API into a tool interface that can be used by MCP-compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to automate Supabase project administration through an AI assistant", "useCases": [ "Create and configure Supabase projects from an AI chat interface", "Manage organizations and invite members programmatically", "Query project metadata and status without leaving a development workflow" ], "pros": [ "Enables hands-free Supabase project management inside AI assistants", "Small, focused codebase that is easy to audit or extend", "Actively maintained with open-source community contributions" ], "cons": [ "Requires a MCP-compatible client and setup to use", "Depends on the Supabase Management API, so limited to public API actions", "Small community with only 50 stars means less support and fewer integrations" ], "tags": [], "featured": false, "tier": "curated", "stars": 50, "language": [ "JavaScript" ], "lastUpdated": "2024-12-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/joshuarileydev/supabase", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/joshuarileydev-supabase-mcp-server" }, { "slug": "joshuarileydev-simulator-mcp-server", "name": "joshuarileydev/simulator-mcp-server", "vendor": "Various", "tagline": "📇 🏠 - An MCP server to control iOS Simulators", "description": "An MCP server that enables AI agents to control iOS simulators. It exposes simulator actions such as launching apps, triggering device events, and managing device state through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "iOS developers who want to automate simulator tasks through AI agents", "useCases": [ "Automate iOS app launch and test sequences during CI", "Trigger simulated device events like location changes or hardware button presses", "Manage simulator lifecycle (boot, shutdown, install apps) from AI tools" ], "pros": [ "Provides direct iOS simulator control without GUI scripting", "Integrates easily with MCP compatible AI assistants and workflows", "Lightweight JavaScript implementation with clear API" ], "cons": [ "Limited to iOS simulator interactions, not real devices", "Requires macOS environment with Xcode installed", "Relies on simulator being already booted and accessible" ], "tags": [], "featured": false, "tier": "curated", "stars": 52, "language": [ "JavaScript" ], "lastUpdated": "2024-12-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/JoshuaRileyDev/simulator-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mobile-next-mobile-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/joshuarileydev-simulator-mcp-server" }, { "slug": "jovezhong-mcp-timeplus", "name": "jovezhong/mcp-timeplus", "vendor": "Various", "tagline": "Execute SQL queries and manage databases seamlessly with Timeplus. Leverage powerful tools to interact with your data, Kafka topics, and Iceberg tables efficiently. Enhance your da", "description": "jovezhong/mcp-timeplus is a Model Context Protocol server that lets AI agents execute SQL queries and manage Timeplus databases. It provides tools for interacting with Timeplus data, Kafka topics, and Iceberg tables through a Python-based MCP interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to query Timeplus streaming databases", "useCases": [ "Query Timeplus streaming data via AI agents", "Manage Kafka topics through MCP", "Access Iceberg tables from an LLM" ], "pros": [ "Exposes Timeplus database operations via standard MCP protocol", "Enables natural language access to streaming SQL data", "Lightweight Python implementation" ], "cons": [ "Very small community (12 GitHub stars) indicates limited testing and support", "Documentation may be sparse", "Requires running an MCP host and a Timeplus instance" ], "tags": [ "clickhouse", "flink", "iceberg", "kafka", "mcp-server", "spark" ], "featured": false, "tier": "curated", "stars": 12, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2025-07-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/jovezhong/mcp-timeplus", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jovezhong-mcp-timeplus" }, { "slug": "jparkerweb-mcp-sqlite", "name": "jparkerweb/mcp-sqlite", "vendor": "Various", "tagline": "🐇 Model Context Protocol (MCP) server that provides comprehensive SQLite database interaction capabilities", "description": "An MCP server that enables AI assistants to interact with SQLite databases. It exposes database operations like querying, inserting, and schema exploration through the Model Context Protocol. Built in JavaScript, it can be self-hosted and configured by developers.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need local or embedded database access", "useCases": [ "Querying databases via natural language through an AI assistant", "Automating database tasks with LLM-driven agents", "Integrating SQLite data into AI workflows for context and retrieval" ], "pros": [ "Simple to set up with standard MCP clients", "Handles common SQLite operations including schema introspection", "Active open-source project with responsive maintainer" ], "cons": [ "Requires MCP-compatible client or host", "No built-in authentication for database access", "Limited to SQLite; not for production multi-user databases" ], "tags": [ "aitooling", "cursor", "database", "development", "equill-service", "mcp", "nodejs", "sqlite" ], "featured": false, "tier": "curated", "stars": 107, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/jparkerweb/mcp-sqlite", "relations": { "works_in": [ "continue", "cursor", "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jparkerweb-mcp-sqlite" }, { "slug": "jpisnice-shadcn-ui-mcp-server", "name": "Jpisnice/shadcn-ui-mcp-server", "vendor": "Various", "tagline": "A mcp server to allow LLMS gain context about shadcn ui component structure,usage and installation,compaitable with react,svelte 5,vue & React Native", "description": "A Model Context Protocol server that provides language models with structured information about shadcn/ui components. It covers component structure, usage patterns, and installation steps for React, Svelte 5, Vue, and React Native.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building LLM-powered tools that need to generate or manipulate shadcn/ui components across frameworks", "useCases": [ "Retrieve component API and props for shadcn/ui in an LLM-assisted workflow", "Automate installation and setup of shadcn/ui components across different frameworks", "Generate code snippets that correctly reference shadcn/ui component structure" ], "pros": [ "Large community adoption with 2778 stars indicates reliability", "Multi-framework support (React, Svelte, Vue, React Native) increases versatility", "Simplifies integration of LLMs with shadcn/ui by providing structured context" ], "cons": [ "Requires an MCP-compatible client to use, adding dependency", "Only covers shadcn/ui components, not general UI libraries", "May lag behind shadcn/ui updates if not maintained promptly" ], "tags": [ "ai", "expo", "mcp", "modelcontextprotocol", "nextjs", "npm", "npm-package", "npx" ], "featured": false, "tier": "curated", "stars": 2778, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/Jpisnice/shadcn-ui-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "glips-figma-context-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jpisnice-shadcn-ui-mcp-server" }, { "slug": "jsdelivr-globalping-mcp-server", "name": "jsdelivr/globalping-mcp-server", "vendor": "Various", "tagline": "Remote MCP server that gives LLMs access to run network commands", "description": "An MCP server that gives LLMs access to run network commands like ping, traceroute, and DNS lookups via the Globalping API. It enables language models to perform real-time network diagnostics and monitoring tasks.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building LLM-powered network diagnostics or observability tools", "useCases": [ "Perform network latency checks from multiple global locations", "Troubleshoot connectivity issues using traceroute", "Query DNS records to verify domain configuration" ], "pros": [ "Simple integration with any MCP-compatible LLM client", "Leverages Globalping's distributed probe network for accurate measurements", "Open source with TypeScript codebase" ], "cons": [ "Requires an API key or Globalping account for usage", "Limited to commands supported by Globalping API", "Dependent on Globalping service availability" ], "tags": [ "mcp", "mcp-server", "remote-mcp-server" ], "featured": false, "tier": "curated", "stars": 55, "language": [ "TypeScript" ], "lastUpdated": "2026-04-09", "addedAt": "2026-06-01", "officialLink": "https://github.com/jsdelivr/globalping-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "browsermcp-mcp", "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jsdelivr-globalping-mcp-server" }, { "slug": "jstibal-openterms-mcp", "name": "jstibal/openterms-mcp", "vendor": "Various", "tagline": "MCP server that provides signed receipts before an agent takes an external action.", "description": "OpenTerms MCP is a Python-based MCP server that issues signed receipts before an agent performs an external action. It works as a middleware layer to create cryptographic proof of intent, enabling audit trails for autonomous agent decisions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building accountable autonomous agents who want cryptographic proof of action intent", "useCases": [ "Auditing agent decisions for compliance", "Preventing unauthorized external actions by requiring receipt generation", "Creating verifiable logs of agent-initiated operations" ], "pros": [ "Provides cryptographic accountability for agent actions", "Lightweight Python implementation easy to integrate", "Enforces a checkpoint before external operations" ], "cons": [ "Very early stage with minimal community adoption (1 star)", "Limited documentation or examples due to low maturity", "Adds latency and complexity to agent workflows" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-04-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/jstibal/openterms-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "executeautomation-playwright-mcp-server", "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jstibal-openterms-mcp" }, { "slug": "jtalk22-slack-mcp-server", "name": "jtalk22/slack-mcp-server", "vendor": "Various", "tagline": "Session-based Slack MCP for Claude and MCP clients: local-first workflows, secure-default HTTP.", "description": "A session-based MCP server that connects Claude or other MCP clients to Slack for local-first workflows. It operates over HTTP with secure defaults, allowing users to interact with Slack channels, messages, and threads programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to give Claude session-based Slack access for automation", "useCases": [ "Send and read Slack messages from an AI assistant", "Query Slack channel history for context-aware automation", "Trigger Slack actions based on local file or command events" ], "pros": [ "Local-first design keeps data on your machine", "Secure-default HTTP configuration reduces setup friction", "Straightforward integration with Claude and compatible MCP clients" ], "cons": [ "Low community adoption with only 27 stars", "Requires self-hosting and manual Slack API token setup" ], "tags": [ "platform-commercial", "status-live" ], "featured": false, "tier": "curated", "stars": 27, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/jtalk22/slack-mcp-server", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jtalk22-slack-mcp-server" }, { "slug": "juanisidoro-securecode-mcp", "name": "juanisidoro/securecode-mcp", "vendor": "Various", "tagline": "MCP Server for SecureCodeHQ. Lets Claude Code access your secrets securely.", "description": "A Model Context Protocol server that allows Claude Code to access secrets stored in SecureCodeHQ. It uses TypeScript to bridge the AI assistant with a secure secrets management platform.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude Code who need to securely access secrets from SecureCodeHQ during AI-assisted coding sessions.", "useCases": [ "Retrieve API keys and tokens during code generation without exposing them in prompts", "Inject secrets into Claude Code workflows for automated deployment scripts", "Manage access to sensitive credentials while keeping them out of version control" ], "pros": [ "Keeps secrets out of conversation logs and prompt history", "Leverages SecureCodeHQ's existing security model", "Simple integration for Claude Code users" ], "cons": [ "Requires a SecureCodeHQ account and setup", "Limited to Claude Code as the client", "Zero stars and no community traction yet" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/juanisidoro/securecode-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/juanisidoro-securecode-mcp" }, { "slug": "jtang613-ghidrassistmcp", "name": "jtang613/GhidrAssistMCP", "vendor": "Various", "tagline": "An native MCP server extension for Ghidra", "description": "GhidrAssistMCP is a native MCP server extension for Ghidra, the reverse engineering framework. It enables AI assistants to interact with Ghidra's analysis capabilities through the Model Context Protocol, allowing automated script execution and data retrieval.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Reverse engineers and security researchers who want to automate Ghidra analysis with AI assistants", "useCases": [ "Automating reverse engineering workflows by querying Ghidra via AI assistants", "Extracting function signatures, cross-references, or decompiled code programmatically", "Integrating Ghidra analysis into larger MCP-based toolchains" ], "pros": [ "Native integration with Ghidra without external dependencies", "Leverages MCP standard for broad AI assistant compatibility", "Open source with active community (633 stars)" ], "cons": [ "Requires Ghidra installation and familiarity with reverse engineering", "Limited to Java ecosystem and Ghidra's scripting API", "MCP protocol adoption still niche among AI tools" ], "tags": [ "ghidra", "ghidra-extension", "ghidra-plugin", "llm", "mcp", "mcp-server", "reverse-engineering" ], "featured": false, "tier": "curated", "stars": 633, "language": [ "Java" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/jtang613/GhidrAssistMCP", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "lauriewired-ghidramcp", "mrexodia-ida-pro-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jtang613-ghidrassistmcp" }, { "slug": "juehang-vscode-mcp-server", "name": "juehang/vscode-mcp-server", "vendor": "Various", "tagline": "MCP server to expose VS Code editing features to an LLM for AI coding", "description": "juehang/vscode-mcp-server is an MCP server that exposes VS Code editing features to an LLM. It allows AI coding assistants to programmatically perform code edits within the VS Code environment. The server is written in TypeScript and follows the Model Context Protocol for standardized tool invocation.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI coding assistants that need to automate edits within VS Code", "useCases": [ "Enable LLMs to modify code files directly in VS Code", "Automate refactoring and code transformations via AI", "Build AI coding assistants that edit source code programmatically" ], "pros": [ "Leverages VS Code's full editing API for precise code modifications", "Uses the standardized Model Context Protocol for easy integration with LLMs", "Written in TypeScript, offering type safety and modern tooling" ], "cons": [ "Requires running a server alongside VS Code, adding setup overhead", "Tied to the VS Code ecosystem; not usable in other editors or standalone", "Relatively young project (369 stars) with a smaller community and support" ], "tags": [], "featured": false, "tier": "curated", "stars": 369, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-01-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/juehang/vscode-mcp-server", "relations": { "works_in": [ "cline", "roocode", "continue" ], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp", "wonderwhy-er-desktopcommandermcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/juehang-vscode-mcp-server" }, { "slug": "julien040-anyquery", "name": "julien040/anyquery", "vendor": "Various", "tagline": "Query anything (GitHub, Notion, +40 more) with SQL and let LLMs (ChatGPT, Claude) connect to using MCP", "description": "Anyquery is a Go-based tool that lets you query data from over 40 sources (including GitHub and Notion) using SQL. It exposes these queries through the Model Context Protocol (MCP), enabling LLMs like ChatGPT and Claude to access the data directly.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to query multiple SaaS tools with SQL and feed results into LLMs.", "useCases": [ "Run SQL queries against GitHub issues, pull requests, or Notion databases", "Connect an LLM to live data sources via MCP for context-aware responses", "Automate data extraction from multiple SaaS platforms using standard SQL" ], "pros": [ "Supports a wide range of data sources (40+) out of the box", "Leverages SQL, a familiar language for most developers", "Integrates with popular LLMs through the MCP standard" ], "cons": [ "Requires Go runtime to install and run", "MCP integration may add complexity for simple query tasks", "Limited to read-only queries for most sources" ], "tags": [ "ai", "analytics", "api", "business-intelligence", "chatgpt", "csv", "data-visualization", "database" ], "featured": false, "tier": "curated", "stars": 1706, "language": [ "Go" ], "lastUpdated": "2026-05-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/julien040/anyquery", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "browsermcp-mcp", "agent-infra-mcp-server-browser" ], "alternative_to": [ "mindsdb-mindsdb" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/julien040-anyquery" }, { "slug": "jungle-grid-mcp-server", "name": "Jungle-Grid/mcp-server", "vendor": "Various", "tagline": "MCP server for Jungle Grid lets agents submit, monitor, and retrieve logs from AI workloads.", "description": "A Model Context Protocol (MCP) server that enables agents to submit, monitor, and retrieve logs from AI workloads running on Jungle Grid. It is built with TypeScript and provides a lightweight interface for programmatic log management.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers integrating Jungle Grid with MCP-compatible agents for log management", "useCases": [ "Submit logs from AI workloads to Jungle Grid", "Monitor the status of running AI workloads", "Retrieve logs from completed or active workloads" ], "pros": [ "Implements the standardized Model Context Protocol for agent interoperability", "Lightweight TypeScript codebase easy to deploy and extend", "Focuses on a specific, useful task without bloat" ], "cons": [ "Very early stage with only 1 GitHub star and limited community support", "Documentation and examples are sparse", "Only handles log submission, monitoring, and retrieval; no broader workload management" ], "tags": [ "ai-agents", "ai-infrastructure", "developer-tools", "gpu", "junglegrid", "mcp", "model-context-protocol", "typescript" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/Jungle-Grid/mcp-server", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jungle-grid-mcp-server" }, { "slug": "juhongpark-mcp-server-pronunciation", "name": "JuhongPark/mcp-server-pronunciation", "vendor": "Various", "tagline": "Local MCP voice coach with English pronunciation, grammar, and fluency feedback.", "description": "A local MCP server that provides voice coaching feedback on English pronunciation, grammar, and fluency. It runs in Python and integrates with MCP-compatible clients for real-time spoken language analysis.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building voice coaching or language learning applications", "useCases": [ "Practice English pronunciation with automated feedback", "Get grammar corrections on spoken sentences", "Improve speaking fluency through iterative coaching" ], "pros": [ "Runs locally, preserving privacy and reducing latency", "Covers pronunciation, grammar, and fluency in one tool", "Python-based, easy to extend or integrate into existing workflows" ], "cons": [ "No stars or community validation yet", "Limited to English language feedback only", "Requires local setup and MCP client compatibility" ], "tags": [ "english-learning", "language-learning", "mcp", "model-context-protocol", "pronunciation", "speech", "voice", "whisper" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/JuhongPark/mcp-server-pronunciation", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [ "whisper" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/juhongpark-mcp-server-pronunciation" }, { "slug": "junipr-labs-mcp-server", "name": "junipr-labs/mcp-server", "vendor": "Various", "tagline": "MCP server for Junipr APIs — screenshots, PDFs, and metadata extraction", "description": "An MCP server that wraps Junipr APIs to capture screenshots, generate PDFs, and extract metadata from web pages. It exposes these capabilities as tools that AI agents can call via the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to capture or analyze web page content programmatically.", "useCases": [ "Capture full-page screenshots of websites for visual verification", "Generate PDF snapshots of web content for archiving or reporting", "Extract page metadata like title, description, and Open Graph tags" ], "pros": [ "Simple MCP interface makes it easy to integrate with AI agents", "Combines three common web scraping tasks in one tool", "Lightweight JavaScript implementation with no external dependencies beyond the API" ], "cons": [ "Requires a Junipr API key and network access to the Junipr service", "No offline or self-hosted fallback for any of the three features", "Zero stars and no community traction suggests early-stage or unmaintained code" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/junipr-labs/mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "executeautomation-playwright-mcp-server", "mediar-ai-screenpipe" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/junipr-labs-mcp-server" }, { "slug": "juspay-neurolink", "name": "juspay/neurolink", "vendor": "Various", "tagline": "Streams are the future of AI powered by unlimited free tokens.", "description": "juspay/neurolink is an open-source TypeScript library for building AI streaming applications. It focuses on delivering unlimited free tokens for AI-powered responses, enabling cost-efficient streaming interactions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring streaming AI features with minimal token expenditure", "useCases": [ "Building real-time AI chat interfaces", "Implementing token-based streaming for AI outputs", "Creating scalable AI applications without token costs" ], "pros": [ "Offers free token usage for AI streaming", "Stream-based design for efficient real-time interactions", "TypeScript support for type-safe development" ], "cons": [ "Low community adoption with only 96 GitHub stars", "Limited documentation and unclear maintenance status", "Dependence on external free token services may introduce reliability issues" ], "tags": [ "agents", "ai", "ai-development", "ai-platform", "automation", "developer-tools", "enterprise", "future" ], "featured": false, "tier": "curated", "stars": 96, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/juspay/neurolink", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/juspay-neurolink" }, { "slug": "just-every-mcp-read-website-fast", "name": "just-every/mcp-read-website-fast", "vendor": "Various", "tagline": "Quickly reads webpages and converts to markdown for fast, token efficient web scraping", "description": "An MCP server that reads webpages and converts them to markdown, designed for fast and token-efficient web scraping. It is built in TypeScript and provides a simple interface for AI agents to consume web content with minimal token usage.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need efficient, low-token web content extraction", "useCases": [ "Scraping documentation or articles for LLM context", "Extracting clean text from webpages for analysis", "Feeding web content into AI agents with low token overhead" ], "pros": [ "Fast conversion to markdown reduces token consumption", "Simple, focused tool with a clear purpose", "Open source with 150 stars, indicating community interest" ], "cons": [ "May not handle JavaScript-heavy or dynamic pages well", "Output is limited to markdown, no structured data extraction", "Requires an MCP-compatible client to use" ], "tags": [ "claude", "codex", "crawler", "fast", "markdown", "mcp", "mcp-server", "scraper" ], "featured": false, "tier": "curated", "stars": 150, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/just-every/mcp-read-website-fast", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "microsoft-markitdown" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/just-every-mcp-read-website-fast" }, { "slug": "just-every-mcp-screenshot-website-fast", "name": "just-every/mcp-screenshot-website-fast", "vendor": "Various", "tagline": "Quickly screenshots webpages and converts to an LLM friendly size", "description": "This MCP server captures screenshots of webpages and converts them to a size optimized for large language models. It is built in JavaScript and designed for rapid capture and processing.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building LLM agents that need quick webpage snapshots", "useCases": [ "Feeding webpage screenshots into LLM prompts for visual context", "Automating website checks with AI agents", "Quickly saving webpage snapshots for documentation or review" ], "pros": [ "Fast screenshot capture and conversion", "Simple integration via MCP protocol", "Lightweight JavaScript implementation" ], "cons": [ "Only captures full webpages, not specific elements", "Size optimization may reduce image detail", "Requires an MCP-compatible environment to run" ], "tags": [ "claude", "codex", "fast", "mcp", "mcp-server", "screenshot" ], "featured": false, "tier": "curated", "stars": 106, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/just-every/mcp-screenshot-website-fast", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "executeautomation-playwright-mcp-server", "browsermcp-mcp" ], "alternative_to": [ "mediar-ai-screenpipe" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/just-every-mcp-screenshot-website-fast" }, { "slug": "justinstimatze-gemot", "name": "justinstimatze/gemot", "vendor": "Various", "tagline": "Structured deliberation MCP server for AI agent coordination", "description": "Gemot is a structured deliberation MCP server written in Go. It facilitates coordination and discussion among multiple AI agents using the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring multi-agent coordination with MCP", "useCases": [ "Coordinating multi-agent discussions with structured turn-taking", "Integrating agent deliberation into MCP-compatible workflows", "Prototyping agent coordination logic in a lightweight server" ], "pros": [ "Lightweight implementation in Go", "Simple protocol for agent interaction", "Open source with permissive license" ], "cons": [ "Very low community adoption (2 stars)", "Minimal documentation and examples", "Limited to MCP-compatible agents" ], "tags": [ "a2a", "agent-coordination", "ai-agents", "claude", "consensus", "deliberation", "go", "mcp" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "Go" ], "license": "Apache-2.0", "lastUpdated": "2026-05-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/justinstimatze/gemot", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [ "oraios-serena" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/justinstimatze-gemot" }, { "slug": "jwaxman19-qlik-mcp", "name": "jwaxman19/qlik-mcp", "vendor": "Various", "tagline": "An MCP server to run qlik", "description": "An MCP server that enables AI agents to execute Qlik analytics tasks. It exposes Qlik functionality through the Model Context Protocol, allowing agents to query and interact with Qlik applications programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to query or control Qlik analytics environments", "useCases": [ "Automating Qlik report generation and data extraction", "Integrating Qlik analytics into AI agent workflows", "Running Qlik script commands via natural language interfaces" ], "pros": [ "Bridges Qlik analytics with MCP-compatible AI agents", "Written in TypeScript for type safety and maintainability", "Lightweight and focused on a single integration task" ], "cons": [ "Low community adoption with only 11 stars", "Limited documentation and examples available", "Dependent on Qlik infrastructure and access permissions" ], "tags": [], "featured": false, "tier": "curated", "stars": 11, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-07-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/jwaxman19/qlik-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jwaxman19-qlik-mcp" }, { "slug": "jwrede-llmprobe", "name": "Jwrede/llmprobe", "vendor": "Various", "tagline": "Synthetic monitoring and CI smoke tests for LLM inference endpoints.", "description": "Jwrede/llmprobe is a Go tool for synthetic monitoring and CI smoke tests of LLM inference endpoints. It sends predefined prompts to an endpoint and checks the responses against expected patterns or latency thresholds.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a minimal, scriptable smoke test for LLM endpoints in CI or monitoring pipelines.", "useCases": [ "Verify an LLM endpoint is responding correctly after a deployment", "Run periodic health checks on production inference services", "Integrate into CI pipelines to catch regressions before release" ], "pros": [ "Lightweight Go binary with no external dependencies", "Simple configuration for quick setup", "Designed specifically for LLM endpoints, not generic HTTP monitoring" ], "cons": [ "Very early stage with only 1 GitHub star and limited community adoption", "No built-in support for complex test scenarios or multi-step workflows", "Lacks alerting or dashboard features out of the box" ], "tags": [ "anthropic", "golang", "llm", "llmops", "observability", "openai", "prometheus", "sre" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-05-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/Jwrede/llmprobe", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "vllm", "ollama", "llama-cpp", "litellm" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jwrede-llmprobe" }, { "slug": "jyjune-mcp-vms", "name": "jyjune/mcp_vms", "vendor": "Various", "tagline": "MCP server for controlling and accessing a video surveillance system", "description": "An MCP server that provides a standardized interface for controlling and accessing video surveillance systems. It allows developers to interact with surveillance feeds and camera controls through the Model Context Protocol, enabling integration with AI agents and automation tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-integrated automation or AI agents for video surveillance systems", "useCases": [ "Building AI agents that can query live surveillance feeds", "Triggering camera actions from automated workflows", "Integrating video surveillance data into MCP-compatible applications" ], "pros": [ "Leverages the MCP standard for tool interoperability", "Written in Python, easy to extend or modify", "Focused on a specific practical domain (surveillance)" ], "cons": [ "Low community adoption (13 stars) indicates limited testing or support", "Requires an MCP client to be useful, adding dependency", "Scope may be narrow for general-purpose use beyond surveillance" ], "tags": [], "featured": false, "tier": "curated", "stars": 13, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/jyjune/mcp_vms", "relations": { "works_in": [], "uses": [], "built_with": [ "awslabs-mcp" ], "pairs_with": [ "mediar-ai-screenpipe", "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jyjune-mcp-vms" }, { "slug": "k-dense-ai-claude-skills-mcp", "name": "K-Dense-AI/claude-skills-mcp", "vendor": "Various", "tagline": "MCP server for searching and retrieving Claude Agent Skills using vector search", "description": "An MCP server that enables Claude to search and retrieve agent skills using vector search. It indexes skill descriptions and uses semantic similarity to find relevant skills for a given task.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building Claude-based agents that need to dynamically discover and invoke community-contributed skills", "useCases": [ "Enhancing Claude with specialized skills from a community repository", "Building a skill-aware assistant that can discover relevant capabilities on demand", "Integrating vector-based skill retrieval into existing MCP workflows" ], "pros": [ "Leverages vector search for accurate, semantic skill matching", "Open-source Python project with a clear MCP interface", "Active community with nearly 400 stars indicating interest and adoption" ], "cons": [ "Requires running a separate MCP server, adding infrastructure overhead", "Skill quality depends entirely on the community repository's curation", "Limited to skills indexed in the vector database, not a general-purpose tool" ], "tags": [], "featured": false, "tier": "curated", "stars": 389, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/K-Dense-AI/claude-skills-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/k-dense-ai-claude-skills-mcp" }, { "slug": "k-jarzyna-mcp-miro", "name": "k-jarzyna/mcp-miro", "vendor": "Various", "tagline": "Miro integration for Model Context Protocol", "description": "k-jarzyna/mcp-miro is a TypeScript server that implements the Model Context Protocol (MCP) to connect AI assistants with Miro's collaborative whiteboard platform. It enables MCP-compatible clients to read, create, and update Miro boards, frames, sticky notes, and other elements through Miro's REST API.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-enabled AI assistants who need programmatic access to Miro boards", "useCases": [ "Let an AI assistant populate a Miro board with meeting notes or brainstorm results", "Automate diagram creation by having an AI agent add shapes, connectors, and text to a board", "Query existing Miro content and return structured data to an AI model for further processing" ], "pros": [ "Published open source with a clear TypeScript codebase for easy customization and auditing", "Follows the standard MCP specification so it works out of the box with any MCP client", "Provides a ready-to-use bridge between popular AI tooling and Miro's rich collaboration features" ], "cons": [ "Requires a Miro account and API token, adding setup steps beyond just installing the server", "Limited to the operations exposed by the Miro REST API; some advanced board behaviors may not be accessible", "Relatively low community traction (64 stars) may mean slower updates or fewer examples" ], "tags": [], "featured": false, "tier": "curated", "stars": 64, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2025-08-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/k-jarzyna/mcp-miro", "relations": { "works_in": [ "claude-code", "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/k-jarzyna-mcp-miro" }, { "slug": "kadykov-mcp-openapi-schema-explorer", "name": "kadykov/mcp-openapi-schema-explorer", "vendor": "Various", "tagline": "MCP server providing token-efficient access to OpenAPI/Swagger specs via MCP Resource Templates for client-side exploration.", "description": "An MCP server that provides token-efficient access to OpenAPI and Swagger specifications. It exposes API schema details through MCP Resource Templates, enabling client-side exploration without unnecessary context bloat. Built in TypeScript, it is designed for integration with MCP-compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-native assistants that need quick, contextual access to REST API documentation", "useCases": [ "Exploring OpenAPI specs programmatically in AI assistants", "Building tools that need low-token-cost access to API documentation", "Integrating REST API schemas into MCP-based workflows" ], "pros": [ "Token-efficient design reduces costs when retrieving large specs", "Uses standard MCP Resource Templates for structured, on-demand access", "Open-source TypeScript implementation easy to audit and extend" ], "cons": [ "Limited to clients that support the MCP protocol", "Small community (72 stars) may mean sparse documentation or support", "Relies on hosted OpenAPI files; offline use requires manual mirroring" ], "tags": [ "api-specification", "developer-tools", "development", "mcp", "mcp-server", "model-context-protocol", "node", "node-js" ], "featured": false, "tier": "curated", "stars": 72, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/kadykov/mcp-openapi-schema-explorer", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kadykov-mcp-openapi-schema-explorer" }, { "slug": "kael-bit-engram-rs", "name": "kael-bit/engram-rs", "vendor": "Various", "tagline": "Memory engine for AI agents — time axis (3-layer decay/promotion) + space axis (self-organizing topic tree). Hybrid search, LLM consolidation. Single Rust binary.", "description": "A memory engine for AI agents that organizes information along a time axis with three-layer decay and promotion and a space axis with a self-organizing topic tree. It provides hybrid search and LLM consolidation in a single Rust binary.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need persistent, structured memory", "useCases": [ "Persisting agent memory across sessions with automatic decay", "Organizing knowledge into a self-organizing topic tree", "Retrieving relevant context using hybrid search" ], "pros": [ "Single Rust binary simplifies deployment", "Combines temporal decay and topic organization for structured memory", "Hybrid search enables flexible retrieval of relevant information" ], "cons": [ "Low star count indicates early development stage", "Rust dependency may require compilation for some environments", "Limited documentation or examples beyond the repository" ], "tags": [ "agents", "ai", "ai-agents", "ai-memory", "claudecode", "mcp", "mcp-server", "openclaw" ], "featured": false, "tier": "curated", "stars": 25, "language": [ "Rust" ], "license": "MIT", "lastUpdated": "2026-03-03", "addedAt": "2026-06-01", "officialLink": "https://github.com/kael-bit/engram-rs", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "upstash-context7", "topoteretes-cognee" ], "alternative_to": [ "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kael-bit-engram-rs" }, { "slug": "kagan-sh-kagan", "name": "kagan-sh/kagan", "vendor": "Various", "tagline": "The Orchestration Layer for AI Coding Agents", "description": "Kagan is an open-source Python library that acts as an orchestration layer for AI coding agents. It coordinates multiple agents to work together on software development tasks, managing their interactions and workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building multi-agent coding workflows in Python", "useCases": [ "Orchestrating multiple AI coding agents in a single project", "Managing agent workflows for complex software development tasks", "Integrating agent collaboration into existing Python toolchains" ], "pros": [ "Open-source and free to use", "Written in Python, easy to integrate with Python projects", "Provides structured orchestration for multi-agent systems" ], "cons": [ "Small community with only 90 GitHub stars", "Limited documentation and examples due to early stage", "Requires understanding of agent orchestration concepts" ], "tags": [ "ai", "ai-agents", "antrophic", "claude", "claude-code", "cli", "codex", "gemini" ], "featured": false, "tier": "curated", "stars": 90, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/kagan-sh/kagan", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "aider", "cline" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kagan-sh-kagan" }, { "slug": "kagisearch-kagimcp", "name": "kagisearch/kagimcp", "vendor": "Various", "tagline": "The Official Model Context Protocol (MCP) server for Kagi Search & other tools.", "description": "A Python-based Model Context Protocol (MCP) server that enables large language models to perform Kagi Search queries and access other Kagi tools via a standardized interface. It allows AI agents to retrieve web results, summaries, and related data directly through the MCP protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need direct, structured access to Kagi's web search and tools", "useCases": [ "Integrating real-time web search into an AI assistant or chatbot", "Providing an LLM with up-to-date factual information from Kagi's search index", "Building a tool‑calling agent that can search the web and return structured results" ], "pros": [ "Official Kagi support ensures reliable API integration and maintenance", "Pure Python implementation makes deployment and customization straightforward", "Leverages the standard MCP protocol for broad compatibility with existing AI frameworks" ], "cons": [ "Requires a Kagi subscription to access the search API", "Limited to Kagi's search ecosystem only, not a general web search provider", "Depends on the MCP protocol, which may not be supported by every LLM or agent library" ], "tags": [], "featured": false, "tier": "curated", "stars": 403, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/kagisearch/kagimcp", "relations": { "works_in": [ "anthropic-computer-use", "claude-code", "cursor" ], "uses": [], "built_with": [ "pydantic-pydantic-ai-mcp-run-python" ], "pairs_with": [ "exa-labs-exa-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kagisearch-kagimcp" }, { "slug": "kaliaboi-mcp-zotero", "name": "kaliaboi/mcp-zotero", "vendor": "Various", "tagline": "A connector for Claude Desktop to work with collection and sources on your Zotero Cloud.", "description": "kaliaboi/mcp-zotero is a TypeScript-based connector that lets Claude Desktop read and manage collections and sources stored in your Zotero Cloud. It implements the Model Context Protocol to bridge Claude with Zotero's API, enabling direct queries and actions on your reference library.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Researchers and academics who use Zotero and want to manage their reference library through Claude Desktop.", "useCases": [ "Retrieve and organize Zotero collections during research sessions", "Search or filter sources by metadata from within Claude Desktop", "Automate citation management tasks via conversational commands" ], "pros": [ "Lightweight and focused on a single, well-defined integration", "Leverages the Model Context Protocol for standardized tool interaction", "Active community with 160 stars indicating reliability" ], "cons": [ "Requires a Zotero Cloud account and API key setup", "Limited to Zotero's API capabilities (no local library access)", "Dependent on Claude Desktop as the only supported client" ], "tags": [], "featured": false, "tier": "curated", "stars": 160, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-02-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/kaliaboi/mcp-zotero", "relations": { "works_in": [ "anthropic-computer-use" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kaliaboi-mcp-zotero" }, { "slug": "kaiyuanxiaobing-atomgit-mcp-server", "name": "kaiyuanxiaobing/atomgit-mcp-server", "vendor": "Various", "tagline": "📇 ☁️ - Official AtomGit server for integration with repository management, PRs, issues, branches, labels, and more.", "description": "An MCP server that integrates with AtomGit for repository management tasks. It provides tools to interact with pull requests, issues, branches, labels, and other repository features through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using AtomGit who want to automate repository management via MCP", "useCases": [ "Automate pull request creation and review workflows", "Manage issues and labels across AtomGit repositories", "List and switch branches programmatically" ], "pros": [ "Direct integration with AtomGit's API for repository operations", "Written in TypeScript for type safety and maintainability", "Covers common repository management actions in one tool" ], "cons": [ "Limited to AtomGit platform, not compatible with other Git hosts", "Small community with only 7 stars, may have limited support", "No documented examples or usage guides beyond the repository description" ], "tags": [], "featured": false, "tier": "curated", "stars": 7, "language": [ "TypeScript" ], "license": "MulanPSL-2.0", "lastUpdated": "2025-07-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/kaiyuanxiaobing/atomgit-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "idosal-git-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kaiyuanxiaobing-atomgit-mcp-server" }, { "slug": "kambriso-fritzbox-mcp-server", "name": "kambriso/fritzbox-mcp-server", "vendor": "Various", "tagline": "FRITZ!Box MCP Server for LLM/ KI Integration - Home Automation from your favourite KI agent", "description": "An MCP server written in Go that exposes FRITZ!Box home automation capabilities to LLM agents. It translates natural language requests into actions like toggling devices or reading sensor data via the router's API.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers integrating LLM agents with FRITZ!Box home automation systems", "useCases": [ "Control smart home devices through chatbot commands", "Query FRITZ!Box sensor status from an LLM agent", "Automate home routines via natural language triggers" ], "pros": [ "Enables direct LLM control of FRITZ!Box without custom bridges", "Written in Go, offering low overhead and easy deployment", "Open source with MIT license, allowing customization" ], "cons": [ "Low community adoption (10 stars), potential for limited support", "Depends on specific FRITZ!Box firmware and API versions", "Security implications of exposing router control to LLM agents" ], "tags": [], "featured": false, "tier": "curated", "stars": 10, "language": [ "Go" ], "lastUpdated": "2026-02-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/kambriso/fritzbox-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kambriso-fritzbox-mcp-server" }, { "slug": "kao273183-mk-qa-master", "name": "kao273183/mk-qa-master", "vendor": "Various", "tagline": "AI 測試大師 — MCP server driving pytest / Jest / Cypress / Go / Maestro. Analyze, generate, run, advise. Web + Mobile (iOS/Android/BlueStacks).", "description": "An MCP server that drives multiple testing frameworks including pytest, Jest, Cypress, Go, and Maestro. It can analyze, generate, run, and advise on tests for web browsers and mobile platforms such as iOS, Android, and BlueStacks. The tool is written in Python and has 32 stars on GitHub.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Test engineers who manage tests across multiple frameworks for web and mobile apps.", "useCases": [ "Generate test cases for pytest, Jest, Cypress, Go, or Maestro.", "Run test suites on web browsers and mobile devices including iOS, Android, and BlueStacks.", "Analyze test results and receive advice on improvement areas." ], "pros": [ "Supports five different testing frameworks in one tool.", "Covers both web and mobile platforms including emulators like BlueStacks.", "Provides analysis and advisory features beyond just executing tests." ], "cons": [ "Low star count indicates limited community adoption and documentation.", "Requires familiarity with MCP server setup and configuration.", "Only covers a specific set of frameworks, not a universal test solution." ], "tags": [ "maestro", "mcp", "mcp-server", "mobile-testing", "model-context-protocol", "playwright", "pytest", "qa" ], "featured": false, "tier": "curated", "stars": 32, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/kao273183/mk-qa-master", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "executeautomation-playwright-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kao273183-mk-qa-master" }, { "slug": "kapeli-dash-mcp-server", "name": "Kapeli/dash-mcp-server", "vendor": "Various", "tagline": "MCP server for Dash, the macOS API documentation browser", "description": "An MCP server that connects AI assistants to Dash, the macOS API documentation browser. It allows tools to search and retrieve documentation from Dash's docsets via the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "macOS developers who want AI assistants to query their local Dash documentation", "useCases": [ "Look up API references for programming languages and frameworks", "Search documentation sets from within an AI coding assistant", "Integrate offline documentation into MCP-compatible workflows" ], "pros": [ "Leverages Dash's comprehensive collection of docsets", "Works with any MCP-compatible client or assistant", "Open source and straightforward to set up" ], "cons": [ "Requires Dash to be installed and running on macOS", "Limited to documentation sets available in Dash", "No cross-platform support due to macOS dependency" ], "tags": [], "featured": false, "tier": "curated", "stars": 151, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/Kapeli/dash-mcp-server", "relations": { "works_in": [ "anthropic-computer-use", "claude-code", "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kapeli-dash-mcp-server" }, { "slug": "karanb192-reddit-mcp-buddy", "name": "karanb192/reddit-mcp-buddy", "vendor": "Various", "tagline": "Clean, LLM-optimized Reddit MCP server. Browse posts, search content, analyze users. No fluff, just Reddit data.", "description": "A clean, LLM-optimized MCP server for accessing Reddit data. It allows browsing posts, searching content, and analyzing user activity with a minimal TypeScript implementation.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building LLM-based tools that need structured, real-time Reddit data", "useCases": [ "Fetching Reddit posts and comments for content analysis", "Searching specific subreddits or users via natural language queries", "Integrating Reddit data into AI agent workflows" ], "pros": [ "Lightweight and optimized for LLM integration", "Simple, no-nonsense interface focused on core Reddit data", "Active community with 691 stars indicating reliability" ], "cons": [ "Limited to read operations; no posting or moderation", "No built-in authentication or rate limiting handling", "Depends on Reddit's API which may change unexpectedly" ], "tags": [ "ai-assistant", "claude", "mcp", "mcp-server", "model-context-protocol", "reddit", "reddit-api", "typescript" ], "featured": false, "tier": "curated", "stars": 691, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/karanb192/reddit-mcp-buddy", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "browsermcp-mcp", "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/karanb192-reddit-mcp-buddy" }, { "slug": "kashiwabyte-vikingdb-mcp-server", "name": "KashiwaByte/vikingdb-mcp-server", "vendor": "Various", "tagline": "a mcp server for vikingdb store and search", "description": "An MCP (Model Context Protocol) server for VikingDB, enabling store and search operations. It is written in Python and acts as a bridge between VikingDB and MCP-compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using VikingDB who need an MCP interface for store and search operations", "useCases": [ "Integrate VikingDB vector search into MCP workflows", "Store and retrieve embeddings through a standardized protocol", "Build AI agents that query VikingDB via MCP" ], "pros": [ "Open source with a permissive license", "Written in Python for broad compatibility", "Leverages MCP for interoperability" ], "cons": [ "Low star count (4) suggests limited adoption or early stage", "Documentation and community support may be minimal", "Depends on both VikingDB and MCP infrastructure" ], "tags": [], "featured": false, "tier": "curated", "stars": 4, "language": [ "Python" ], "lastUpdated": "2025-08-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/KashiwaByte/vikingdb-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "vectorize-io-hindsight", "mindsdb-mindsdb" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kashiwabyte-vikingdb-mcp-server" }, { "slug": "karyaboyraz-mockit-mcp", "name": "karyaboyraz/mockit-mcp", "vendor": "Various", "tagline": "MCP server that turns text prompts into premium iOS mobile UI mockups (PNG + HTML). Powered by Claude (Opus 4.7) + Playwright. Two backends: local CLI or Anthropic API. MIT.", "description": "A Model Context Protocol server that generates iOS mobile UI mockups from text prompts. It produces both PNG images and HTML output using Claude (Opus 4.7) and Playwright, with a choice of local CLI or Anthropic API backends.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to quickly generate iOS UI mockups from text using an MCP server", "useCases": [ "Rapidly prototype iOS app screens from natural language descriptions", "Generate visual mockups for design review or client presentations", "Create HTML-based UI previews for web or mobile testing" ], "pros": [ "Produces both PNG and HTML outputs for flexible use", "Supports two backends (local CLI and Anthropic API) for different workflows", "MIT license allows free use and modification" ], "cons": [ "Very early stage with only 1 star and limited community adoption", "Requires Claude Opus 4.7 access, which may have cost or availability constraints", "Dependent on Playwright for rendering, adding setup complexity" ], "tags": [ "ai-design", "anthropic", "claude", "claude-code", "ios", "mcp", "mockup", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-03", "addedAt": "2026-06-01", "officialLink": "https://github.com/karyaboyraz/mockit-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "executeautomation-playwright-mcp-server", "mobile-next-mobile-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/karyaboyraz-mockit-mcp" }, { "slug": "kastelldev-kastell", "name": "kastelldev/kastell", "vendor": "Various", "tagline": "Provision, secure, backup, and manage self-hosted servers — full lifecycle, one CLI.", "description": "A CLI tool that provisions, secures, backs up, and manages self-hosted servers across their full lifecycle. It provides a single command-line interface for common server administration tasks. Built with TypeScript, it aims to simplify repetitive operations into one workflow.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers managing self-hosted servers who want a unified command-line tool", "useCases": [ "Provisioning new servers with initial configuration", "Applying security hardening and compliance checks", "Automating regular backups and restoration" ], "pros": [ "Covers the entire server lifecycle in one CLI", "Open source with a TypeScript codebase", "Reduces the need for multiple separate tools" ], "cons": [ "Low star count suggests early stage and limited community", "Assumes manual server access and infrastructure knowledge", "May lack integrations with popular cloud or hosting APIs" ], "tags": [ "automation", "cli", "coolify", "devops", "digitalocean", "docker", "dokploy", "hetzner" ], "featured": false, "tier": "curated", "stars": 53, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/kastelldev/kastell", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "netdata-netdata-netdata" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kastelldev-kastell" }, { "slug": "kc23go-anybrowse", "name": "kc23go/anybrowse", "vendor": "Various", "tagline": "Web scraping MCP server for AI agents. Real Chrome, 84% success rate. 10 free calls/day, no signup.", "description": "A web scraping MCP server for AI agents that uses a real Chrome browser. It achieves an 84% success rate and offers 10 free calls per day with no signup required. Built in TypeScript, it provides a lightweight scraping interface for agent workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need quick, no-signup web scraping for AI agent prototypes or experiments.", "useCases": [ "Extract data from dynamic websites for AI agents", "Automate page interactions via the MCP protocol", "Test scraping pipelines without committing to paid plans" ], "pros": [ "Free tier with 10 daily calls and no account needed", "Uses real Chrome for better compatibility with JavaScript-heavy sites", "Simple MCP integration for agent-based automation" ], "cons": [ "Limited to 10 free calls per day", "84% success rate may require fallback for reliability", "Low GitHub stars indicate limited community testing and support" ], "tags": [ "ai-agent", "browser-automation", "llm", "markdown", "mcp", "mcp-server", "model-context-protocol", "typescript" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/kc23go/anybrowse", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "microsoft-markitdown" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kc23go-anybrowse" }, { "slug": "kdqed-zaturn", "name": "kdqed/zaturn", "vendor": "Various", "tagline": "Data Analysis With Vibes", "description": "Zaturn is a Python library that generates data analysis code from natural language prompts. It uses large language models to interpret user requests and produce executable Python scripts for data exploration and visualization.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Data analysts and scientists who want to accelerate routine data exploration tasks", "useCases": [ "Quickly generate exploratory data analysis scripts from plain English descriptions", "Create data visualizations without writing plotting code manually", "Prototype data transformations and aggregations by describing the desired output" ], "pros": [ "Reduces time spent writing boilerplate analysis code", "Lowers the barrier for non-expert Python users to perform data analysis", "Open source with a permissive license for customization" ], "cons": [ "Generated code may require manual review and debugging for correctness", "Dependent on external LLM APIs which can introduce latency and cost", "Limited to the quality and scope of the underlying language model" ], "tags": [ "ai", "data-analysis", "data-science", "vibe-coding" ], "featured": false, "tier": "curated", "stars": 74, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-11-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/kdqed/zaturn", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "pydantic-pydantic-ai-mcp-run-python", "mckinsey-vizro-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kdqed-zaturn" }, { "slug": "keboola-keboola-mcp-server", "name": "keboola/keboola-mcp-server", "vendor": "Various", "tagline": "Model Context Protocol (MCP) Server for the Keboola Platform", "description": "An MCP server that connects AI assistants to the Keboola data platform, enabling them to list tables, run SQL queries, and trigger data flows. It uses the Model Context Protocol to expose Keboola's API as tools an AI can call directly.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Data engineers and analysts who use Keboola and want to control it through an AI assistant", "useCases": [ "Query Keboola tables and view results from a chat interface", "Trigger and monitor data pipeline jobs without leaving the assistant", "List available datasets and schemas for exploratory data analysis" ], "pros": [ "Tight integration with Keboola's existing API and authentication", "Lets non-technical users interact with data pipelines via natural language", "Open source with a clear, focused scope" ], "cons": [ "Limited to Keboola platform users only", "Relies on the MCP protocol which is not yet widely adopted", "Small community (84 stars) means less support and fewer examples" ], "tags": [ "data-platform", "etl-pipeline", "keboola-platform", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 84, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/keboola/keboola-mcp-server", "relations": { "works_in": [ "cursor", "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/keboola-keboola-mcp-server" }, { "slug": "keepgoing-dev-mcp-server", "name": "keepgoing-dev/mcp-server", "vendor": "Various", "tagline": "KeepGoing MCP server - Project memory for AI coding assistants", "description": "KeepGoing MCP server is a TypeScript-based tool that provides project memory for AI coding assistants. It stores and retrieves contextual information about a codebase to help assistants maintain continuity across sessions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with persistent memory for AI coding assistants in small projects", "useCases": [ "Persisting project context for AI coding assistants across sessions", "Storing and retrieving codebase metadata for assistant reference", "Enabling assistants to recall previous decisions and project state" ], "pros": [ "Lightweight TypeScript implementation with low overhead", "Open source with permissive license for customization", "Integrates with MCP-compatible AI coding assistants" ], "cons": [ "Very early stage with only 2 GitHub stars and limited community", "No documented examples or usage guides beyond basic README", "Dependent on MCP protocol adoption which is still emerging" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/keepgoing-dev/mcp-server", "relations": { "works_in": [ "claude-code", "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/keepgoing-dev-mcp-server" }, { "slug": "kehvinbehvin-json-mcp-filter", "name": "kehvinbehvin/json-mcp-filter", "vendor": "Various", "tagline": "JSON MCP server to filter only relevant data for your LLM", "description": "An open source MCP server written in JavaScript that filters JSON data to extract only relevant fields for an LLM. It helps reduce token usage and noise by allowing developers to specify which parts of a JSON structure are passed to the language model.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using MCP to optimize JSON data sent to LLMs, especially in prototyping or low‑traffic projects", "useCases": [ "Stripping irrelevant keys from large JSON payloads before sending to an LLM", "Reducing token consumption when feeding structured data into a context window", "Enforcing a whitelist of fields for consistent LLM input across endpoints" ], "pros": [ "Lightweight and straightforward JavaScript implementation", "Open source with a permissive license for modification", "Targets a specific pain point in MCP workflows" ], "cons": [ "Small community (24 stars) may mean limited support or slower updates", "Requires familiarity with Model Context Protocol ecosystem", "No built-in field validation or error handling beyond basic filtering" ], "tags": [ "claude-mcp", "data", "data-extraction", "data-filtering", "json", "json-analysis", "json-filter", "json-mcp-server" ], "featured": false, "tier": "curated", "stars": 24, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/kehvinbehvin/json-mcp-filter", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "vectorize-io-hindsight", "microsoft-markitdown" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kehvinbehvin-json-mcp-filter" }, { "slug": "keiver-image-tiler-mcp-server", "name": "keiver/image-tiler-mcp-server", "vendor": "Various", "tagline": "MCP server that prevents LLM vision downscaling, tiles large images & screenshots so Claude, GPT-4o, and Gemini see every detail", "description": "An MCP server that tiles large images and screenshots before sending them to LLM vision models. It prevents downscaling by splitting an image into smaller tiles so that Claude, GPT-4o, and Gemini receive every detail at full resolution.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to pass detailed large images to LLM vision models without downscaling", "useCases": [ "Send high-resolution UI screenshots to Claude without losing fine details", "Analyze large diagrams or maps with GPT-4o at original scale", "Provide uncompressed visual context to Gemini for detailed inspection" ], "pros": [ "Preserves image details that would otherwise be lost due to model resolution limits", "Works with multiple LLMs via the common MCP protocol", "Straightforward integration for developers already using MCP clients" ], "cons": [ "Very low popularity (1 star) suggests minimal testing or community validation", "Requires an MCP-compatible client and server setup, adding deployment overhead", "Tiling increases token consumption and processing latency compared to single-image inputs" ], "tags": [ "ai-tools", "claude", "claude-code", "gemini", "image-processing", "llm", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/keiver/image-tiler-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mediar-ai-screenpipe", "agent-infra-mcp-server-browser", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/keiver-image-tiler-mcp-server" }, { "slug": "kenliao94-mcp-server-rabbitmq", "name": "kenliao94/mcp-server-rabbitmq", "vendor": "Various", "tagline": "MCP server for interacting with RabbitMQ", "description": "An open-source MCP server implemented in Python that enables AI agents to interact with RabbitMQ message brokers. It provides a standardized interface for queue management, message publishing and consumption, and broker monitoring through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to programmatically manage RabbitMQ message queues and messages.", "useCases": [ "Automating queue creation and configuration in RabbitMQ from AI agents", "Publishing and subscribing to messages as part of AI-driven workflows", "Monitoring queue depth and message rates to trigger downstream actions" ], "pros": [ "Enables direct AI agent control over RabbitMQ via the MCP standard", "Python-based, easy to integrate into Python AI toolchains", "Open source with no vendor lock-in" ], "cons": [ "Small community (38 stars), may lack extensive documentation or support", "Requires an MCP-compatible client or framework to be useful", "Feature set limited to basic RabbitMQ operations inferred from current description" ], "tags": [], "featured": false, "tier": "curated", "stars": 38, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2025-10-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/kenliao94/mcp-server-rabbitmq", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kenliao94-mcp-server-rabbitmq" }, { "slug": "kelvin6365-plane-mcp-server", "name": "kelvin6365/plane-mcp-server", "vendor": "Various", "tagline": "🏎️ 🏠 This MCP Server will help you to manage projects and issues through [Plane's](https://plane.so) API", "description": "An MCP server that interfaces with Plane's API to manage projects and issues. It is written in JavaScript and allows MCP-compatible tools to interact with Plane.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Plane who want to manage projects and issues through MCP-compatible interfaces", "useCases": [ "Manage Plane projects through MCP clients", "Create and update issues via MCP tools", "Integrate Plane with AI assistants or automation workflows" ], "pros": [ "Open source and free to use", "Written in JavaScript, widely accessible", "Directly leverages Plane's API for project management" ], "cons": [ "Small community (38 stars) may mean limited support", "Depends on Plane's API availability and rate limits", "No built-in authentication or security features documented" ], "tags": [], "featured": false, "tier": "curated", "stars": 38, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2025-12-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/kelvin6365/plane-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "sooperset-mcp-atlassian", "idosal-git-mcp" ], "alternative_to": [ "sooperset-mcp-atlassian" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kelvin6365-plane-mcp-server" }, { "slug": "kenneives-design-token-bridge-mcp", "name": "kenneives/design-token-bridge-mcp", "vendor": "Various", "tagline": "MCP server that translates design tokens between platforms — Tailwind, Figma, CSS to Material 3, SwiftUI, and CSS Variables. Built for the v0 → Figma → Claude Code pipeline.", "description": "A Model Context Protocol server that converts design tokens between platforms including Tailwind, Figma, CSS, Material 3, SwiftUI, and CSS Variables. It is built in TypeScript to support workflows from v0 through Figma to Claude Code.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building automated design-to-code pipelines who need to convert tokens between design and development tools.", "useCases": [ "Translate design tokens from Figma to CSS variables for a web project", "Convert Tailwind theme tokens into Material 3 format for Android development", "Bridge design tokens from a v0 prototype into SwiftUI for iOS builds" ], "pros": [ "Covers multiple popular design token formats in a single tool", "Integrates into the MCP ecosystem for automated workflows", "TypeScript codebase is familiar to most frontend developers" ], "cons": [ "Very early project with only 2 GitHub stars and likely limited community support", "No evidence of testing or production readiness beyond the described pipeline", "Dependency on the MCP protocol may restrict use outside compatible environments" ], "tags": [ "claude-code", "css-variables", "design-tokens", "figma", "material-design", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/kenneives/design-token-bridge-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [ "glips-figma-context-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kenneives-design-token-bridge-mcp" }, { "slug": "kestra-io-mcp-server-python", "name": "kestra-io/mcp-server-python", "vendor": "Various", "tagline": "Python MCP Server for Kestra — you can use it as a tool in Kestra's AI Agents", "description": "A Python implementation of the Model Context Protocol (MCP) server for Kestra. It enables Kestra's AI agents to call Python-based tools and scripts as part of their workflows. The server exposes MCP endpoints that Kestra can invoke to execute custom Python logic.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building custom Python tools for Kestra AI agents", "useCases": [ "Integrating Python scripts into Kestra AI agent workflows", "Exposing custom Python functions as tools for AI agents", "Building MCP-compatible tool servers for Kestra orchestration" ], "pros": [ "Lightweight and Python-native, easy to extend with existing Python code", "Open source with permissive licensing (vendor: Various)", "Directly integrates with Kestra's AI agent framework" ], "cons": [ "Low GitHub stars (27) indicate limited community adoption and testing", "Documentation and stability may be sparse for production use", "Tied to the Kestra ecosystem, not a general-purpose MCP server" ], "tags": [ "ai-agents", "mcp-server", "orchestration", "python" ], "featured": false, "tier": "curated", "stars": 27, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-05-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/kestra-io/mcp-server-python", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "pydantic-pydantic-ai-mcp-run-python" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kestra-io-mcp-server-python" }, { "slug": "kevinswint-xcode-studio-mcp", "name": "kevinswint/xcode-studio-mcp", "vendor": "Various", "tagline": "Unified MCP server for AI-assisted iOS development — build, deploy, screenshot, and interact with iOS Simulator from Claude Code, Cursor, or any MCP client", "description": "This MCP server provides a unified interface for AI-assisted iOS development. It lets users build, deploy, and interact with the iOS Simulator from any MCP client including Claude Code and Cursor. The tool automates tasks like taking screenshots and simulating user interactions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "iOS developers who use AI coding assistants and want to automate simulator tasks", "useCases": [ "Automating iOS builds and deployments via AI assistants", "Taking screenshots of iOS Simulator for testing and documentation", "Scripting simulator interactions from chat interfaces" ], "pros": [ "Works with multiple MCP clients, offering flexibility", "Automates repetitive iOS development tasks", "Leverages the existing MCP ecosystem for easy integration" ], "cons": [ "Low community adoption with only 7 stars on GitHub", "Requires running an MCP client and may lack full Xcode scripting capabilities", "Limited track record could mean fewer tested edge cases" ], "tags": [ "ai-coding", "claude-code", "cursor", "ios-development", "ios-simulator", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 7, "language": [ "Swift" ], "license": "MIT", "lastUpdated": "2026-04-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/kevinswint/xcode-studio-mcp", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kevinswint-xcode-studio-mcp" }, { "slug": "keturiosakys-bluesky-context-server", "name": "keturiosakys/bluesky-context-server", "vendor": "Various", "tagline": "Bluesky MCP server", "description": "An open-source server that implements the Model Context Protocol (MCP) to provide AI assistants with access to Bluesky data. It allows large language models to query Bluesky timelines, search posts, and retrieve user profiles through standardized MCP tool calls.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need real-time access to Bluesky content", "useCases": [ "Connecting an AI agent to live Bluesky feeds for contextual responses", "Building a chatbot that can search and summarize Bluesky posts", "Enabling AI tools to fetch user profiles or thread data from Bluesky" ], "pros": [ "Lightweight TypeScript implementation with clear MCP compliance", "Open source with active community (31 stars) and MIT license", "Directly addresses a common integration need for Bluesky-based AI tools" ], "cons": [ "Relatively niche—limited to Bluesky, not other social platforms", "Small user base may mean slower bug fixes and fewer examples", "Requires a running MCP host and Bluesky API credentials to operate" ], "tags": [], "featured": false, "tier": "curated", "stars": 31, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-08-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/keturiosakys/bluesky-context-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "idosal-git-mcp", "glips-figma-context-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/keturiosakys-bluesky-context-server" }, { "slug": "khalidsaidi-ragmap", "name": "khalidsaidi/ragmap", "vendor": "Various", "tagline": "RAG MCP Registry Finder (RAGMap): subregistry API + MCP server + Firestore ingestion", "description": "RAGMap is a subregistry API and MCP server for discovering RAG (Retrieval-Augmented Generation) MCP registries. It ingests registry data into Firestore for scalable storage and querying.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building RAG applications that need to discover and serve MCP registries", "useCases": [ "Discover MCP registries for RAG pipeline integration", "Serve registry data via an MCP server interface", "Ingest and manage registry metadata in Firestore" ], "pros": [ "Written in TypeScript for type safety and maintainability", "Leverages Firestore for scalable, serverless data storage", "Open source with a focused scope for MCP registry workflows" ], "cons": [ "Low GitHub star count indicates limited community adoption", "Narrow focus on MCP registries may not suit general registry needs", "Documentation and maturity level may be early-stage" ], "tags": [ "agent-tools", "ai-agents", "claude", "cursor", "discovery", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/khalidsaidi/ragmap", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/khalidsaidi-ragmap" }, { "slug": "khamel83-argus", "name": "Khamel83/argus", "vendor": "Various", "tagline": "Multi-provider web search broker for AI agents. 14 providers, budget-aware routing, content extraction — one API.", "description": "Argus is a multi-provider web search broker for AI agents. It provides a single API to query 14 search providers with budget-aware routing and content extraction. The tool is written in Python and is available as an open-source project.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need flexible, multi-provider web search with cost management", "useCases": [ "Integrating multiple web search providers into an AI agent pipeline", "Routing search queries based on cost or provider availability", "Extracting structured content from search results for downstream processing" ], "pros": [ "Supports 14 different search providers through one unified API", "Budget-aware routing helps control costs across providers", "Includes built-in content extraction from search results" ], "cons": [ "Low GitHub star count (2) suggests limited community adoption or maturity", "Only available in Python, restricting use in other language ecosystems", "No clear vendor backing, which may affect long-term maintenance" ], "tags": [ "ai-agents", "brave-search", "cli", "content-extraction", "duckduckgo", "fastapi", "llm-tools", "mcp" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/Khamel83/argus", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/khamel83-argus" }, { "slug": "khan2a-telephony-mcp-server", "name": "khan2a/telephony-mcp-server", "vendor": "Various", "tagline": "A very simple no-fuss minimalist MCP Server with telephony tools like voice call and sms. This MCP Server can be integrated with LLM applications. Vonage API is used for calls, SMS", "description": "A minimal MCP server for telephony tasks, integrating Vonage APIs to enable voice calls, SMS, and speech-to-text from LLM applications. Built in Python, it offers a straightforward interface for adding telephony capabilities to AI tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Python developers building LLM-integrated tools that need basic telephony actions", "useCases": [ "Trigger voice calls or send SMS via LLM chatbots or assistants", "Transcribe incoming speech to text for automated processing", "Integrate telephony actions into custom AI workflows or agents" ], "pros": [ "Minimal footprint: simple setup and easy to extend", "Purpose-built for MCP, no extra middleware required", "Leverages Vonage's mature telephony infrastructure" ], "cons": [ "Requires a Vonage API account and credentials", "Limited to Vonage's supported regions and services", "Small community (11 stars) means sparse documentation and support" ], "tags": [ "mcp", "mcp-server", "python", "telephony", "vonage", "vonage-voice" ], "featured": false, "tier": "curated", "stars": 11, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-07-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/khan2a/telephony-mcp-server", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [ "lharries-whatsapp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/khan2a-telephony-mcp-server" }, { "slug": "khaoss85-arvo-mcp", "name": "khaoss85/arvo-mcp", "vendor": "Various", "tagline": "MCP Server for Arvo AI Personal Trainer - Connect Claude Desktop to your training data", "description": "A Model Context Protocol server that connects Claude Desktop to Arvo AI Personal Trainer data. It allows users to query training logs, workout history, and performance metrics through natural language.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who use Arvo AI Personal Trainer and want to query their fitness data via Claude Desktop", "useCases": [ "Ask Claude about recent workout summaries and progress", "Retrieve specific training session details or exercise logs", "Analyze trends in personal fitness data over time" ], "pros": [ "Enables natural language access to structured fitness data", "Lightweight TypeScript implementation with minimal dependencies", "Direct integration with Claude Desktop for conversational queries" ], "cons": [ "Very early stage with only 1 star and limited community adoption", "Requires existing Arvo AI Personal Trainer account and data", "No documentation beyond the repository description" ], "tags": [ "ai-fitness", "anthropic", "arvo", "body-composition", "claude", "exercise-log", "fitness-tracking", "gym-tracker" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-01-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/khaoss85/arvo-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/khaoss85-arvo-mcp" }, { "slug": "khaoss85-mcp-orchestro", "name": "khaoss85/mcp-orchestro", "vendor": "Various", "tagline": "Transform product ideas into reality with an intelligent orchestration system that bridges Product Managers, Developers, and AI. Orchestro conducts the entire development symphony:", "description": "An MCP server that orchestrates AI agents to decompose product ideas into development tasks, track dependencies, learn from patterns, and visualize progress in real time. It uses TypeScript and coordinates between product managers, developers, and AI agents.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with multi-agent orchestration for product development workflows", "useCases": [ "Breaking down a product spec into granular, ordered development tasks", "Tracking task dependencies and progress across a team of AI agents", "Visualizing the development workflow and identifying bottlenecks" ], "pros": [ "Provides structured task decomposition from high-level ideas", "Includes dependency tracking and real-time progress visualization", "Open source with a lightweight TypeScript codebase" ], "cons": [ "Very early stage with only 15 GitHub stars and limited community adoption", "Requires manual setup and integration with existing MCP infrastructure", "No documented production deployments or case studies" ], "tags": [ "claude-code", "development", "mcp-server", "mcp-tools" ], "featured": false, "tier": "curated", "stars": 15, "language": [ "TypeScript" ], "lastUpdated": "2025-10-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/khaoss85/mcp-orchestro", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "eyaltoledano-claude-task-master" ], "alternative_to": [ "oraios-serena" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/khaoss85-mcp-orchestro" }, { "slug": "khglynn-spotify-bulk-actions-mcp", "name": "khglynn/spotify-bulk-actions-mcp", "vendor": "Various", "tagline": "MCP server for bulk Spotify operations - batch playlist creation with confidence scoring, library exports, CSV imports, and human-in-the-loop review for uncertain matches", "description": "An MCP server that enables bulk operations on Spotify playlists and library data. It batch-creates playlists with confidence scoring, exports a user's library, and imports tracks from CSV, with a human-in-the-loop review step for low-confidence matches.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to batch manage Spotify libraries with uncertainty handling", "useCases": [ "Automate large playlist creation from curated track lists", "Export entire Spotify library for backup or analysis", "Import CSV track lists with manual review of uncertain matches" ], "pros": [ "Handles bulk operations not available in Spotify's official API", "Includes confidence scoring to flag ambiguous track matches", "Human-in-the-loop review reduces import mistakes" ], "cons": [ "Very early-stage project with only 1 GitHub star", "Limited to Python environment and MCP protocol", "Requires manual review step which slows full automation" ], "tags": [ "claude", "mcp", "mcp-server", "model-context-protocol", "playlist", "spotify", "spotify-api" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-12-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/khglynn/spotify-bulk-actions-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/khglynn-spotify-bulk-actions-mcp" }, { "slug": "kiarash-portfolio-mcp", "name": "kiarash-portfolio-mcp", "vendor": "Various", "tagline": "WebMCP-enabled portfolio with Ed25519 signed discovery. AI agents can query projects, skills, and execute terminal commands. Built on Cloudflare Pages Functions.", "description": "This portfolio tool exposes a WebMCP endpoint that allows AI agents to discover projects, skills, and execute terminal commands. Its discovery metadata is signed with Ed25519 for integrity, and it runs on Cloudflare Pages Functions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want their portfolio to be natively discoverable and queryable by AI agents.", "useCases": [ "Enabling AI agents to query a developer's portfolio for project and skill details", "Allowing agents to run terminal commands against the portfolio's backend", "Verifying the authenticity of portfolio data via Ed25519 signatures" ], "pros": [ "Supports structured agent-readable discovery of a developer's work", "Uses cryptographic signing to ensure data integrity", "Leverages Cloudflare's global edge network for low-latency responses" ], "cons": [ "Limited to the capabilities of the WebMCP specification and custom terminal commands", "Requires the portfolio to be hosted on Cloudflare Pages, restricting deployment options", "Ed25519 key management adds overhead for portfolio maintenance" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://kiarash-adl.pages.dev/.well-known/mcp.llmfeed.json", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp", "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kiarash-portfolio-mcp" }, { "slug": "kiliczsh-mcp-mongo-server", "name": "kiliczsh/mcp-mongo-server", "vendor": "Various", "tagline": "A Model Context Protocol Server for MongoDB", "description": "A Model Context Protocol server that connects AI agents to MongoDB databases. It exposes MongoDB operations as tools that an LLM can call, enabling natural language queries and data manipulation.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need direct, natural language access to MongoDB databases.", "useCases": [ "Query MongoDB collections using natural language through an AI assistant", "Insert, update, or delete documents via agent-driven commands", "Explore database schemas and sample data without writing raw queries" ], "pros": [ "Open source with 279 stars, indicating community interest and reliability", "Written in TypeScript, offering type safety and easy integration", "Leverages the Model Context Protocol for standardized agent-to-database communication" ], "cons": [ "Requires running a separate MCP server alongside the database", "Limited to MongoDB, not applicable to other database systems", "Dependent on the MCP ecosystem, which is still evolving" ], "tags": [ "antrophic", "claude", "claude-desktop", "cline", "cursor", "mcp", "model-context-protocol", "mongo" ], "featured": false, "tier": "curated", "stars": 279, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-02-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/kiliczsh/mcp-mongo-server", "relations": { "works_in": [ "cursor", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kiliczsh-mcp-mongo-server" }, { "slug": "kimimgo-viznoir", "name": "kimimgo/viznoir", "vendor": "Various", "tagline": "VTK is all you need. AI-Ready VTK visualization for science and engineering.", "description": "viznoir is a Python library that provides VTK visualization for science and engineering applications. It positions itself as AI-ready, suggesting integration with machine learning workflows. The project has a small community with 13 GitHub stars.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Scientists and engineers seeking VTK-based visualization with potential AI integration", "useCases": [ "Visualizing scientific simulation data with VTK", "Rendering 3D engineering models in Python", "Preparing visualization outputs for AI model training or analysis" ], "pros": [ "Built on VTK, a powerful visualization toolkit", "Python interface for easy scripting and automation", "Designed for science and engineering domains" ], "cons": [ "Very small community (13 stars) indicates limited adoption and support", "Documentation and examples may be sparse", "AI-readiness claim is unverified; actual integration unclear" ], "tags": [ "ai-agents", "cfd", "headless-rendering", "mcp", "model-context-protocol", "openfoam", "python", "scientific-visualization" ], "featured": false, "tier": "curated", "stars": 13, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/kimimgo/viznoir", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mckinsey-vizro-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kimimgo-viznoir" }, { "slug": "kimdonghwi94-web-analyzer-mcp", "name": "kimdonghwi94/Web-Analyzer-MCP", "vendor": "Various", "tagline": "This project is a web analysis summary MCP server project.", "description": "A Python-based MCP server that provides web analysis summaries. It uses the Model Context Protocol to expose web analysis functionality for AI tools and agents.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring MCP servers for web content summarization with Python", "useCases": [ "Integrating web page analysis into MCP-compatible AI assistants", "Building custom tools that require summarized web content", "Fetching and summarizing web pages programmatically via MCP" ], "pros": [ "Straightforward Python implementation for easy customization", "Follows the MCP standard, enabling interoperability with MCP clients", "Open source with a permissive license" ], "cons": [ "Very low star count (3) suggests limited community validation or maintenance", "Minimal documentation and example usage beyond the repository itself", "May lack advanced features like caching or error handling" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-09-03", "addedAt": "2026-06-01", "officialLink": "https://github.com/kimdonghwi94/web-analyzer-mcp", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kimdonghwi94-web-analyzer-mcp" }, { "slug": "kimtaeyoon83-mcp-server-youtube-transcript", "name": "kimtaeyoon83/mcp-server-youtube-transcript", "vendor": "Various", "tagline": "This is an MCP server that allows you to directly download transcripts of YouTube videos.", "description": "An MCP server that fetches YouTube video transcripts directly. It provides a simple interface for developers to retrieve captions programmatically without using the YouTube Data API.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a quick, no-frills way to get YouTube transcripts into their MCP-compatible tools", "useCases": [ "Extracting transcripts for video content analysis or summarization", "Building tools that require text from YouTube videos for accessibility or search", "Integrating video caption data into AI workflows or data pipelines" ], "pros": [ "Lightweight and focused on a single task", "No API key required for public transcripts", "Active community with over 550 stars" ], "cons": [ "Limited to transcripts that are publicly available on YouTube", "No support for downloading video metadata or other YouTube data", "Dependent on the MCP protocol for integration" ], "tags": [], "featured": false, "tier": "curated", "stars": 551, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-12-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/kimtaeyoon83/mcp-server-youtube-transcript", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kimtaeyoon83-mcp-server-youtube-transcript" }, { "slug": "kimtth-mcp-aoai-web-browsing", "name": "kimtth/mcp-aoai-web-browsing", "vendor": "Various", "tagline": "A minimal Model Context Protocol 🖥️ server/client🧑‍💻with OpenAI and 🌐 web browser control via Playwright.", "description": "A minimal Model Context Protocol server and client that integrates OpenAI with web browser control via Playwright. It enables AI models to browse the web programmatically through the MCP interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a simple MCP-based browser control tool for prototyping or personal projects.", "useCases": [ "Automating web research tasks with an AI assistant", "Building a browser-controlling agent for data extraction", "Testing web interactions through a controlled browser environment" ], "pros": [ "Lightweight and minimal implementation", "Leverages Playwright for reliable browser automation", "Open source with a permissive license" ], "cons": [ "Small community and limited documentation", "Requires manual setup of Playwright and browser dependencies", "Not actively maintained with only 34 stars" ], "tags": [ "azure-openai", "mcp", "mcp-client", "mcp-server", "model-context-protocol", "playwright", "web-automation" ], "featured": false, "tier": "curated", "stars": 34, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-03", "addedAt": "2026-06-01", "officialLink": "https://github.com/kimtth/mcp-aoai-web-browsing", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "executeautomation-playwright-mcp-server", "browsermcp-mcp", "agent-infra-mcp-server-browser" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kimtth-mcp-aoai-web-browsing" }, { "slug": "kimwwk-repocrunch", "name": "kimwwk/repocrunch", "vendor": "Various", "tagline": "Analyze GitHub repos into structured JSON. No AI, fully deterministic.", "description": "Repocrunch reads a GitHub repository and outputs its structure as deterministic JSON. It does not use any AI or machine learning. The tool recursively parses file contents and directory layout to produce a machine-readable representation.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a straightforward, deterministic way to serialize repo structure without AI", "useCases": [ "Extracting repository metadata for documentation generation", "Creating a snapshot of codebase structure for analysis", "Feeding repository content into other deterministic tools" ], "pros": [ "Simple and predictable output, no AI dependencies", "Easy to integrate into automated pipelines", "Lightweight Python script with minimal setup" ], "cons": [ "Limited star count (8) indicates low popularity or maturity", "May not handle very large repositories efficiently", "No built-in filtering or customization for output fields" ], "tags": [], "featured": false, "tier": "curated", "stars": 8, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/kimwwk/repocrunch", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [ "microsoft-markitdown" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kimwwk-repocrunch" }, { "slug": "kimtth-mcp-remote-call-ping-pong", "name": "kimtth/mcp-remote-call-ping-pong", "vendor": "Various", "tagline": "🏓 An experimental and educational script for Ping-pong server demonstrating remote MCP (Model Context Protocol) calls", "description": "This is an experimental script that implements a ping-pong server to demonstrate remote Model Context Protocol (MCP) calls. It is intended for educational purposes and testing the mechanics of remote MCP interactions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want a simple educational example to understand remote MCP calls", "useCases": [ "Learning how remote MCP calls work through a hands-on example", "Setting up a simple ping-pong server for protocol testing", "Experimenting with the basics of the Model Context Protocol in a remote context" ], "pros": [ "Offers a straightforward demonstration of remote MCP call mechanics", "Useful as a learning tool for developers new to the protocol", "Lightweight and minimal implementation focuses on core concepts" ], "cons": [ "Experimental status means it is not ready for production use", "Low community engagement with only one star on GitHub", "Limited to a simple ping-pong server with no broader functionality" ], "tags": [ "fastapi", "fastmcp", "mcp", "mcp-client", "mcp-server", "model-context-protocol", "sse" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "HTML" ], "lastUpdated": "2025-04-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/kimtth/mcp-remote-call-ping-pong", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kimtth-mcp-remote-call-ping-pong" }, { "slug": "kindly-software-kdb", "name": "kindly-software/kdb", "vendor": "Various", "tagline": "Kindly Debugger - Time-Travel Debugging for AI Workflows", "description": "Kindly Debugger (kdb) is an open-source time-travel debugging tool for AI workflows. It records execution traces so developers can step backward through code to inspect state at any prior point.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers debugging unpredictable AI agent or pipeline behavior", "useCases": [ "Debugging complex AI pipeline failures by replaying execution history", "Inspecting model state and variable changes across training iterations", "Reproducing intermittent errors in agent or LLM workflows" ], "pros": [ "Enables deterministic replay of non-deterministic AI runs", "Open-source with no vendor lock-in", "Reduces guesswork by showing exact prior states" ], "cons": [ "Zero stars and no community adoption yet", "May have limited documentation or support", "Recording overhead could slow down large-scale workflows" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [], "lastUpdated": "2025-12-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/kindly-software/kdb", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kindly-software-kdb" }, { "slug": "king-of-the-grackles-reddit-research-mcp", "name": "king-of-the-grackles/reddit-research-mcp", "vendor": "Various", "tagline": "Turn Reddit's chaos into structured insights with full citations. MCP server for competitive analysis, customer discovery, and market research. Zero-setup hosted solution with sema", "description": "An MCP server that converts unstructured Reddit discussions into structured, citation-backed insights. It provides semantic search across 20,000+ subreddits with a zero-setup hosted solution, enabling competitive analysis, customer discovery, and market research.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and researchers needing quick, citation-backed Reddit insights for market or competitive analysis.", "useCases": [ "Perform competitive analysis by extracting structured insights from competitor threads", "Conduct customer discovery via semantic search across relevant subreddits", "Gather market research data with full citations for verification" ], "pros": [ "Semantic search across a wide range of subreddits for relevant data", "Zero-setup hosted solution reduces deployment friction", "Provides citations for every insight, improving trustworthiness" ], "cons": [ "Limited to Reddit data, not covering other social or review platforms", "Dependent on Reddit's API availability and rate limits", "Semantic search quality may vary based on query specificity" ], "tags": [ "ai-tools", "competitive-analysis", "customer-discovery", "fastmcp", "llm", "market-research", "mcp", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 119, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/king-of-the-grackles/reddit-research-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [ "exa-labs-exa-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/king-of-the-grackles-reddit-research-mcp" }, { "slug": "kindrat86-mcp-deal-flow-signal", "name": "kindrat86/mcp-deal-flow-signal", "vendor": "Various", "tagline": "MCP server for VC Deal Flow Signal — startup engineering acceleration data for investors", "description": "This MCP server provides venture capital deal flow signal data focused on startup engineering acceleration. It exposes metrics via the Model Context Protocol for integration into AI assistants and investment analysis tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "VC investors and analysts who need to surface startup engineering metrics within AI-powered tools.", "useCases": [ "Enrich deal flow analysis with engineering acceleration signals", "Power AI queries about startup velocity for investors", "Integrate startup engineering data into custom MCP clients" ], "pros": [ "Lightweight JavaScript implementation for quick setup", "Standard MCP protocol enables broad interoperability", "Open source codebase for customization" ], "cons": [ "Narrow focus on engineering acceleration data only", "Limited community and documentation given low star count", "No guarantee of data freshness or coverage breadth" ], "tags": [ "agent-tools", "ai-agents", "alternative-data", "deal-flow", "engineering-acceleration", "github-data", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/kindrat86/mcp-deal-flow-signal", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kindrat86-mcp-deal-flow-signal" }, { "slug": "kioie-tiny-go-mcp-server", "name": "kioie/tiny-go-mcp-server", "vendor": "Various", "tagline": "Minimal Go MCP toolkit on the official go-sdk — stdio, HTTP, SSE; tools, resources, prompts; struct-derived JSON Schema; ~5MB static binaries.", "description": "Minimal Go MCP toolkit built on the official go-sdk. Supports stdio, HTTP, and SSE transports. Uses struct-derived JSON Schema for tools, resources, and prompts, resulting in ~5MB static binaries.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Go developers needing a minimal, self-contained MCP server starter", "useCases": [ "Building small Go-based MCP servers", "Creating portable AI agent tools with minimal dependencies", "Integrating Go programs into MCP ecosystems via multiple transport protocols" ], "pros": [ "Lightweight ~5MB static binaries", "Supports multiple transports (stdio, HTTP, SSE)", "Built on official go-sdk for reliability" ], "cons": [ "Very early project with only 1 star and likely limited documentation", "Possible maintenance risk due to low community adoption", "Struct-derived schema may lack flexibility for complex use cases" ], "tags": [ "ai-agents", "claude", "cursor", "go", "golang", "lightweight", "llm", "mcp" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/kioie/tiny-go-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "fastmcp", "awslabs-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kioie-tiny-go-mcp-server" }, { "slug": "kitao-pyxel-mcp", "name": "kitao/pyxel-mcp", "vendor": "Various", "tagline": "MCP server for AI-assisted retro game development with Pyxel", "description": "A Model Context Protocol server that connects AI assistants to the Pyxel retro game engine. It allows AI tools to read and modify Pyxel code and assets, enabling collaborative game development through natural language commands.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Pyxel who want to speed up game creation with AI assistance", "useCases": [ "Generate and edit Pyxel sprite graphics using AI commands", "Create game logic and scenes with iterative AI feedback", "Debug and refactor Pyxel projects through an AI assistant" ], "pros": [ "Tight integration with the Pyxel engine for retro games", "Lightweight Python implementation easy to customize", "Open source with a straightforward setup" ], "cons": [ "Small community and limited real-world usage (19 stars)", "Only works with Pyxel, not other game frameworks", "Requires an MCP-compatible AI client to function" ], "tags": [ "ai", "claude", "game-engine", "mcp", "model-context-protocol", "pixel-art", "pyxel", "retro-game" ], "featured": false, "tier": "curated", "stars": 19, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/kitao/pyxel-mcp", "relations": { "works_in": [ "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kitao-pyxel-mcp" }, { "slug": "kiwamizamurai-mcp-kibela-server", "name": "kiwamizamurai/mcp-kibela-server", "vendor": "Various", "tagline": "MCP server implementation for Kibela API integration", "description": "An open-source MCP server written in TypeScript that exposes Kibela's API through the Model Context Protocol, enabling MCP-compatible AI clients to read, search, and manage a team's knowledge base. The server handles authentication and translates MCP requests into Kibela API calls.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Development teams already using Kibela who want to integrate it with MCP-enabled AI tools", "useCases": [ "Query Kibela articles from an AI coding assistant", "Search knowledge base entries without leaving the IDE", "Create or update documentation via natural language commands" ], "pros": [ "Focused, single-purpose implementation for Kibela", "TypeScript codebase is approachable for most developers", "Lightweight – no external dependencies beyond the MCP SDK" ], "cons": [ "Low star count (6) implies limited testing and community support", "Tied to a specific third-party API that may change without notice", "No built-in caching; each query hits the live API" ], "tags": [ "kibela", "kibela-web-api", "mcp", "modelcontextprotocol" ], "featured": false, "tier": "curated", "stars": 6, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-08-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/kiwamizamurai/mcp-kibela-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "sooperset-mcp-atlassian", "idosal-git-mcp", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kiwamizamurai-mcp-kibela-server" }, { "slug": "kiro0x-five-mcp", "name": "kiro0x/five-mcp", "vendor": "Various", "tagline": "160,000 deductively-derived JSON constraints that enforce LLM persona consistency — eliminates persona drift across interactions.", "description": "A Python-based MCP server that enforces 160,000 deductively-derived JSON constraints to maintain LLM persona consistency across interactions. It intercepts and validates outputs against a predefined constraint set, rejecting or correcting responses that drift from the intended persona.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building LLM applications that require strict, long-term persona adherence without manual rule engineering.", "useCases": [ "Preventing persona drift in long-running chatbot sessions", "Enforcing strict role-playing boundaries in interactive fiction", "Validating LLM outputs against a fixed behavioral schema" ], "pros": [ "Large, pre-built constraint set reduces manual rule writing", "Works as a drop-in MCP server for compatible LLM frameworks", "Explicitly addresses a common failure mode in conversational AI" ], "cons": [ "Zero stars and no community adoption suggests limited testing", "Constraint set is opaque and cannot be easily customized", "Python-only dependency may not fit all deployment stacks" ], "tags": [ "agentic-ai", "ai-agent", "ai-character", "ai-guardrails", "ai-npc", "ai-safety", "autonomous-agents", "chatbot" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/kiro0x/five-mcp", "relations": { "works_in": [ "cline", "cursor", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kiro0x-five-mcp" }, { "slug": "kkjdaniel-bgg-mcp", "name": "kkjdaniel/bgg-mcp", "vendor": "Various", "tagline": "BGG MCP provides access to BoardGameGeek and a variety of board game related data through the Model Context Protocol. Enabling retrieval and filtering of board game data, user coll", "description": "A Go-based MCP server that exposes BoardGameGeek data through the Model Context Protocol. It enables retrieval and filtering of board game details, user collections, and player profiles.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants or tools that need structured board game data", "useCases": [ "Query board game metadata by name or ID", "Filter games by category, mechanics, or player count", "Access a user's collection and play history" ], "pros": [ "Leverages MCP for easy integration with AI agents", "Written in Go for efficient performance", "Open source with a clear, focused scope" ], "cons": [ "Depends on BoardGameGeek's API rate limits and availability", "Limited to board game data only", "Small community and few stars (43) indicate early stage" ], "tags": [ "bgg", "bgg-api", "board-game", "boardgamegeek", "boardgames", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 43, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-04-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/kkjdaniel/bgg-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kkjdaniel-bgg-mcp" }, { "slug": "kj455-mcp-kibela", "name": "kj455/mcp-kibela", "vendor": "Various", "tagline": "MCP server implementation that enables AI assistants to search and reference Kibela content", "description": "An MCP server that lets AI assistants search and retrieve content from Kibela, a knowledge base platform. It is implemented in TypeScript and exposes Kibela data through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Teams using Kibela who want AI assistants to search their internal docs", "useCases": [ "Search Kibela knowledge base from an AI coding assistant", "Reference internal documentation during development workflows", "Integrate Kibela content into AI-powered chat or agent tools" ], "pros": [ "Simple, focused integration for Kibela users", "Lightweight TypeScript implementation", "Works with any MCP-compatible AI client" ], "cons": [ "Limited to Kibela, not a general knowledge base tool", "Small community and low star count may indicate limited support", "Requires running an MCP server alongside the AI assistant" ], "tags": [], "featured": false, "tier": "curated", "stars": 12, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-04-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/kj455/mcp-kibela", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "sooperset-mcp-atlassian", "exa-labs-exa-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kj455-mcp-kibela" }, { "slug": "klavis-ai-youtube", "name": "Klavis-AI/YouTube", "vendor": "Various", "tagline": "Klavis AI: MCP integration platforms that let AI agents use tools reliably at any scale", "description": "Klavis-AI/YouTube is a Model Context Protocol (MCP) server that exposes YouTube data endpoints for AI agents. It allows agents to perform searches, retrieve video metadata, and access channel information through a standardized tool interface. Built in Python, it is part of the Klavis AI ecosystem designed for reliable tool integration at scale.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need structured, programmatic access to YouTube data", "useCases": [ "Enabling an AI assistant to search YouTube and return video results to users", "Feeding YouTube video captions or metadata into a downstream analysis pipeline", "Building agent workflows that retrieve channel details or playlists automatically" ], "pros": [ "Well‑starred open‑source project with community traction", "Integrates seamlessly with MCP‑compatible AI agent frameworks", "Part of a larger platform that scales tool usage reliably" ], "cons": [ "Requires understanding of the MCP protocol to set up and use effectively", "May not cover every YouTube API endpoint or advanced features", "Dependency on the Klavis platform’s stability and continued development" ], "tags": [ "agents", "ai", "ai-agents", "api", "developer-tools", "discord", "function-calling", "integration" ], "featured": false, "tier": "curated", "stars": 5749, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/Klavis-AI/klavis/tree/main/mcp_servers/youtube", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "exa-labs-exa-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/klavis-ai-youtube" }, { "slug": "klever-io-mcp-klever-vm", "name": "klever-io/mcp-klever-vm", "vendor": "Various", "tagline": "MCP server for Klever blockchain smart contract development", "description": "An MCP server that enables AI assistants to interact with the Klever blockchain for smart contract development. It provides tools for deploying, testing, and managing contracts directly through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building smart contracts on the Klever blockchain who want AI-assisted deployment and testing", "useCases": [ "Deploy and test Klever blockchain smart contracts from an AI assistant", "Manage contract state and transactions during development", "Automate contract deployment workflows in CI/CD pipelines" ], "pros": [ "Integrates directly with AI assistants via the MCP standard", "Written in TypeScript for type safety and broad ecosystem compatibility", "Open source with a permissive license" ], "cons": [ "Limited to Klever blockchain only, not general-purpose", "Small community with only 31 GitHub stars", "Requires understanding of both MCP and Klever VM specifics" ], "tags": [ "blockchain", "klever", "mcp", "mcp-server", "model-context-protocol", "smart-contracts" ], "featured": false, "tier": "curated", "stars": 31, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/klever-io/mcp-klever-vm", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/klever-io-mcp-klever-vm" }, { "slug": "knewstimek-agent-tool", "name": "knewstimek/agent-tool", "vendor": "Various", "tagline": "MCP tool server for AI coding agents -- encoding-aware file tools, binary analysis, DAP debugger, SSH/SFTP, process memory, and more", "description": "A Go-based MCP tool server for AI coding agents that provides encoding-aware file operations, binary analysis, a DAP debugger, SSH/SFTP connectivity, and process memory inspection. It exposes these capabilities as tools that agents can invoke directly.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI coding agents that require low-level system access and debugging capabilities", "useCases": [ "Debugging remote processes via DAP protocol integration", "Analyzing binary files and inspecting memory of running processes", "Managing files on remote hosts over SSH/SFTP from an agent" ], "pros": [ "Provides a diverse set of low-level system tools for agents", "Written in Go, offering single-binary deployment and cross-platform support", "Integrates encoding awareness for robust file handling" ], "cons": [ "Very small user base (18 stars) signals limited community and testing", "Documentation and usage examples may be sparse", "Relies on MCP protocol, limiting compatibility to agents that support it" ], "tags": [ "ai-coding", "automation", "claude-code", "cli", "codex", "cross-platform", "cursor", "developer-tools" ], "featured": false, "tier": "curated", "stars": 18, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-05-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/knewstimek/agent-tool", "relations": { "works_in": [ "cursor", "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/knewstimek-agent-tool" }, { "slug": "knowledgepa3-gia-mcp-server", "name": "knowledgepa3/gia-mcp-server", "vendor": "Various", "tagline": "MCP server for GIA Governance — runtime governance for AI agents. 33+ tools. Free starter key → gia.aceadvising.com/get-api-key", "description": "A Model Context Protocol server that enforces runtime governance on AI agents. It provides over 30 tools to define and enforce policies, audit actions, and manage permissions. A free starter key is available for initial use.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to add governance and compliance to AI agents at runtime", "useCases": [ "Enforce compliance policies on agent behavior", "Audit and log agent actions in real time", "Control agent permissions and access scopes" ], "pros": [ "Free starter key lowers barrier to entry", "Over 30 tools cover a wide range of governance needs", "Runtime governance adds a safety layer to agents" ], "cons": [ "Low community adoption (2 GitHub stars) suggests limited validation", "Requires API key and likely internet connection for governance checks", "Documentation and examples may be sparse given project maturity" ], "tags": [ "ai-agents", "ai-safety", "anthropic", "audit", "claude", "compliance", "enterprise", "governance" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/knowledgepa3/gia-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/knowledgepa3-gia-mcp-server" }, { "slug": "kopfrechner-gitlab-mr-mcp", "name": "kopfrechner/gitlab-mr-mcp", "vendor": "Various", "tagline": "Interact seamlessly with GitLab repositories to manage merge requests and issues. Fetch details, add comments, and streamline your code review process with ease.", "description": "This open source JavaScript tool implements the Model Context Protocol for GitLab repositories. It allows AI assistants to retrieve merge request details, add comments, and manage issues directly from a GitLab instance. The MCP server standardizes how language models interact with GitLab operations.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want an AI assistant to automate GitLab merge request reviews and issue management.", "useCases": [ "Fetch merge request diffs and descriptions for code review", "Add comments to specific lines in a merge request", "Create or update GitLab issues from an AI conversation" ], "pros": [ "Simplifies integrating GitLab workflows with AI coding assistants", "Uses the MCP standard for broad compatibility with MCP clients", "Lightweight JavaScript implementation, easy to inspect and modify" ], "cons": [ "Limited to GitLab, not usable with GitHub or other platforms", "Relatively low community adoption (90 stars) may mean slower updates", "Requires an MCP-compatible client and a GitLab personal access token to function" ], "tags": [ "gitlab", "mcp", "mcp-server", "merge-requests" ], "featured": false, "tier": "curated", "stars": 90, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/kopfrechner/gitlab-mr-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "cline", "continue", "cursor", "claude-code" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kopfrechner-gitlab-mr-mcp" }, { "slug": "kosminus-querywise-mcp", "name": "kosminus/querywise-mcp", "vendor": "Various", "tagline": "An MCP server (and a CLI) that lets an LLM query your databases in natural language through a business semantic layer — glossary, metric definitions, data dictionary, knowledge bas", "description": "querywise-mcp is an open-source MCP server and CLI that enables LLMs to query databases using natural language through a business semantic layer. It combines glossary terms, metric definitions, data dictionary, knowledge base, and example queries, all grounded against the actual database schema.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building natural-language data query interfaces that need business context and schema grounding", "useCases": [ "Integrating natural-language database queries into internal tools or chat interfaces", "Standardizing business metrics and definitions for consistent LLM-generated SQL", "Building a semantic layer that reduces ambiguity in data access for non-technical users" ], "pros": [ "Grounds queries in real schema and business definitions, reducing hallucination and SQL errors", "Open-source and modular, allowing customization for different databases and LLMs", "Provides a structured way to reuse example queries and domain knowledge" ], "cons": [ "Early-stage project with low community adoption, limited documentation and support", "Requires upfront effort to define and maintain the semantic layer (glossary, dictionary, examples)", "Performance and accuracy depend heavily on the underlying LLM and database complexity" ], "tags": [ "agentic-ai", "database-mcp-server", "mcp", "mcp-server", "model-context-protocol", "ollama", "semantic-search", "sql" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/kosminus/querywise-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "mindsdb-mindsdb" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kosminus-querywise-mcp" }, { "slug": "korotovsky-slack-mcp-server", "name": "korotovsky/slack-mcp-server", "vendor": "Various", "tagline": "The most powerful MCP Slack Server with no permission requirements, Apps support, GovSlack, DMs, Group DMs and smart history fetch logic.", "description": "A Go-based MCP server that connects AI agents to Slack without requiring special permissions. It supports direct messages, group DMs, GovSlack, and uses smart history fetch logic to retrieve conversations.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to interact with Slack workspaces without admin approval.", "useCases": [ "Let an AI agent read and respond to Slack DMs and group chats", "Integrate AI tools with GovSlack or other Slack workspaces", "Automate Slack interactions without requesting additional app permissions" ], "pros": [ "No special Slack permissions needed, simplifying setup", "Supports GovSlack, DMs, and group DMs out of the box", "Smart history fetch reduces unnecessary API calls" ], "cons": [ "Limited to Slack MCP protocol, not a general Slack client", "Go runtime required for deployment", "May not support all Slack features like channels or file uploads" ], "tags": [ "assistants", "govslack", "llm", "mcp", "mcp-server", "slack", "slack-api" ], "featured": false, "tier": "curated", "stars": 1639, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-05-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/korotovsky/slack-mcp-server", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/korotovsky-slack-mcp-server" }, { "slug": "kovy-agentforge-trust-mcp", "name": "KOVY/agentforge-trust-mcp", "vendor": "Various", "tagline": "MCP server exposing AgentForge Trust Score audit tools for AI agents", "description": "An MCP server that exposes AgentForge Trust Score audit tools for AI agents. It provides a standardized interface for evaluating and monitoring trust metrics in agent-based systems.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building or auditing AI agents who need a standardized trust score interface via MCP", "useCases": [ "Auditing trust scores of AI agents in production", "Integrating trust evaluation into MCP-compatible workflows", "Monitoring agent behavior for compliance or safety checks" ], "pros": [ "Leverages the MCP protocol for easy integration", "Written in TypeScript for type safety", "Fills a niche need for trust auditing in agent systems" ], "cons": [ "Zero stars and no community adoption yet", "Limited documentation or examples available", "Dependent on AgentForge ecosystem for full utility" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/KOVY/agentforge-trust-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kovy-agentforge-trust-mcp" }, { "slug": "krissanders-ai-visibility-mcp", "name": "krissanders/ai-visibility-mcp", "vendor": "Various", "tagline": "MCP server that audits AI-bot visibility: robots.txt per-bot, JSON-LD, llms.txt, brand mentions in LLM answers, competitor compare. SSRF-guarded, spend-capped.", "description": "An MCP server that audits how AI bots see your site. It checks robots.txt per bot, JSON-LD structured data, llms.txt files, brand mentions in LLM answers, and compares against competitors. The tool includes SSRF protection and spend caps.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and SEOs who need to audit and improve their site's discoverability by AI bots.", "useCases": [ "Audit robots.txt directives for specific AI crawlers", "Check if your brand appears in LLM-generated answers", "Compare your AI visibility against competitors" ], "pros": [ "Covers multiple visibility signals in one tool", "Built-in safety measures (SSRF guard, spend cap)", "Open source and extensible via MCP protocol" ], "cons": [ "No stars yet, indicating limited community validation", "Requires MCP-compatible client to use", "Python dependency may not suit all environments" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/krissanders/ai-visibility-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/krissanders-ai-visibility-mcp" }, { "slug": "krystiangw-agenticpay", "name": "krystiangw/agenticpay", "vendor": "Various", "tagline": "MCP-native pay-per-tool-call micropayments for AI agents (Solana + USDC + x402)", "description": "Agenticpay implements a pay-per-tool-call micropayment system for AI agents using Solana, USDC, and the x402 protocol. It is built as an MCP-native (Model Context Protocol) service written in TypeScript. The tool enables agents to pay for individual tool invocations without requiring traditional payment infrastructure.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with blockchain-based micropayments for MCP-compliant AI agents", "useCases": [ "Building AI agents that pay for API calls on a per-tool basis", "Integrating Solana-based micropayments into MCP-compatible agent workflows", "Creating decentralized payment rails for autonomous agent tool usage" ], "pros": [ "Direct integration with MCP for agent tool-call payments", "Leverages Solana and USDC for fast, low-cost transactions", "Designed for autonomous agent environments without human intervention" ], "cons": [ "Very low community adoption (2 stars) suggests limited testing or support", "Depends on Solana blockchain and USDC which may not suit all use cases", "Experimental project with sparse documentation and unclear maintenance status" ], "tags": [ "agentic-payments", "ai-agents", "claude", "mcp", "micropayments", "model-context-protocol", "monetization", "payment-infrastructure" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/krystiangw/agenticpay", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/krystiangw-agenticpay" }, { "slug": "ks-gen-ai-confluence-mcp-server", "name": "KS-GEN-AI/confluence-mcp-server", "vendor": "Various", "tagline": "A test of confluence mcp server", "description": "A minimal, experimental Model Context Protocol (MCP) server for Atlassian Confluence, implemented in JavaScript. It allows MCP-compatible clients to query and interact with Confluence content via the standard MCP interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring MCP protocol patterns with Confluence in proof-of-concept projects", "useCases": [ "Connecting AI assistants or chatbots to Confluence for document retrieval", "Building custom automation tools that read from Confluence spaces", "Prototyping MCP-based integrations with Confluence APIs" ], "pros": [ "Open source with a permissive license", "Lightweight JavaScript implementation easy to fork or modify", "Demonstrates MCP integration with a popular knowledge base platform" ], "cons": [ "Very early stage (13 stars, labeled as a test) with minimal documentation", "Limited testing and real-world reliability unknown", "No active maintenance or community evident beyond initial commit" ], "tags": [], "featured": false, "tier": "curated", "stars": 13, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/KS-GEN-AI/confluence-mcp-server", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "sooperset-mcp-atlassian" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ks-gen-ai-confluence-mcp-server" }, { "slug": "kryptosai-mcp-observatory", "name": "KryptosAI/mcp-observatory", "vendor": "Various", "tagline": "An MCP server that tests your MCP servers for breaking changes", "description": "An MCP server that tests other MCP servers for breaking changes. It runs checks to detect compatibility issues when servers are updated.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who maintain MCP servers and need a lightweight tool to catch breaking changes", "useCases": [ "Verify that an updated MCP server does not break existing clients", "Automate regression testing in a CI pipeline for MCP servers", "Validate backward compatibility before deploying a new version" ], "pros": [ "Focused on a specific, valuable task for MCP server maintainers", "Written in TypeScript, making it accessible to a wide developer audience", "Open source and free to use" ], "cons": [ "Very early stage with only 1 star and minimal community adoption", "Limited documentation and support available", "May not cover all possible breaking change scenarios" ], "tags": [ "ai-agent", "cli", "developer-tools", "interoperability", "mcp", "mcp-server", "model-context-protocol", "observability" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/KryptosAI/mcp-observatory", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp", "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kryptosai-mcp-observatory" }, { "slug": "ks-gen-ai-jira-mcp-server", "name": "KS-GEN-AI/jira-mcp-server", "vendor": "Various", "tagline": "A test of jira mcp server", "description": "An experimental Jira MCP server built in JavaScript. It provides a Model Context Protocol interface for interacting with Jira issues and projects. Currently in early testing phase with limited adoption.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with MCP and Jira integration", "useCases": [ "Testing MCP-based Jira integrations", "Exploring Jira automation with MCP", "Building proof-of-concept Jira bots" ], "pros": [ "Open source codebase for customization", "Straightforward JavaScript implementation", "Enables MCP-based Jira interactions" ], "cons": [ "Experimental and not production-ready", "Limited community support and documentation", "May lack full Jira API coverage" ], "tags": [], "featured": false, "tier": "curated", "stars": 25, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2025-10-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/KS-GEN-AI/jira-mcp-server", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "sooperset-mcp-atlassian" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ks-gen-ai-jira-mcp-server" }, { "slug": "kshern-mcp-tavily", "name": "kshern/mcp-tavily", "vendor": "Various", "tagline": "mcp server of tavily", "description": "This is an MCP server that wraps the Tavily search API, enabling LLMs to perform real-time web searches through the Model Context Protocol. It is built in JavaScript and connects MCP-compatible applications to Tavily's search results.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-compatible AI assistants that need reliable web search without custom scraping", "useCases": [ "Integrate web search into MCP-based AI agents or chatbots", "Retrieve up-to-date information for RAG pipelines via Tavily", "Add real-time search capability to LLM tools using the MCP standard" ], "pros": [ "Leverages Tavily's performant search API designed for AI agents", "Simple MCP integration for JavaScript-based LLM tools", "Open source with a lightweight codebase" ], "cons": [ "Low community adoption (10 stars) may indicate limited maintenance", "Requires a Tavily API key and associated usage costs", "Tied to Tavily's API reliability and rate limits" ], "tags": [], "featured": false, "tier": "curated", "stars": 10, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2025-02-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/kshern/mcp-tavily.git", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "exa-labs-exa-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kshern-mcp-tavily" }, { "slug": "ksterx-srunx", "name": "ksterx/srunx", "vendor": "Various", "tagline": "A modern Python library for SLURM workload manager integration with workflow orchestration capabilities.", "description": "A Python library for integrating with the SLURM workload manager, enabling job submission and workflow orchestration. It provides Python abstractions for common SLURM operations.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Python developers managing HPC workflows on SLURM clusters", "useCases": [ "Submit batch jobs programmatically from Python", "Orchestrate multi-step workflows on HPC clusters", "Monitor job status and retrieve results" ], "pros": [ "Simplifies SLURM interaction with a Python-friendly API", "Enables workflow orchestration for multi-step jobs", "Open source with no vendor lock-in" ], "cons": [ "Limited community adoption due to low stars", "Requires an existing SLURM environment to be useful", "May lack extensive documentation or examples" ], "tags": [ "cli", "cluster", "fastapi", "gpu", "hpc", "job-management", "mcp", "python" ], "featured": false, "tier": "curated", "stars": 13, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-05-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/ksterx/srunx", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ksterx-srunx" }, { "slug": "ktanaka101-mcp-server-duckdb", "name": "ktanaka101/mcp-server-duckdb", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server implementation for DuckDB, providing database interaction capabilities", "description": "This is a Model Context Protocol server that enables LLM agents to interact with DuckDB databases. It exposes DuckDB's SQL capabilities through the MCP standard. Written in Python, it allows reading and querying data stored in DuckDB files or in-memory.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need lightweight SQL querying on local or analytical datasets.", "useCases": [ "Run SQL queries on local or remote DuckDB files", "Integrate DuckDB analytics into LLM agent workflows", "Perform ad-hoc data analysis via natural language requests through MCP" ], "pros": [ "Leverages DuckDB's fast, efficient query execution for analytical workloads", "Simple setup using standard MCP client libraries", "Supports both file-based and in-memory databases" ], "cons": [ "Limited to DuckDB; cannot query other database systems directly", "Requires Python runtime and MCP client setup", "Not optimized for high-concurrency production environments" ], "tags": [ "duckdb", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 176, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-05-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/ktanaka101/mcp-server-duckdb", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "mindsdb-mindsdb" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ktanaka101-mcp-server-duckdb" }, { "slug": "kukapay-bitcoin-utxo-mcp", "name": "kukapay/bitcoin-utxo-mcp", "vendor": "Various", "tagline": "An MCP server that tracks Bitcoin's Unspent Transaction Outputs (UTXO) and block statistics.", "description": "An MCP server that tracks Bitcoin's Unspent Transaction Outputs (UTXO) and block statistics. It exposes UTXO data for Bitcoin addresses and recent block information through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need live Bitcoin UTXO data", "useCases": [ "Query UTXOs for a specific Bitcoin address", "Retrieve latest Bitcoin block statistics", "Integrate Bitcoin data into an MCP-compatible AI assistant" ], "pros": [ "Lightweight Python implementation with minimal dependencies", "Direct access to live Bitcoin data via a standard MCP interface", "Simple API design for UTXO lookups" ], "cons": [ "Low community adoption (2 GitHub stars)", "Limited to Bitcoin mainnet with no testnet support explicitly mentioned", "Requires an MCP-compatible client to function" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-08-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/kukapay/bitcoin-utxo-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kukapay-bitcoin-utxo-mcp" }, { "slug": "kukapay-blockbeats-mcp", "name": "kukapay/blockbeats-mcp", "vendor": "Various", "tagline": "An MCP server that delivers blockchain news and in-depth articles from BlockBeats for AI agents.", "description": "kukapay/blockbeats-mcp is an MCP server that provides blockchain news and in-depth articles from BlockBeats to AI agents. It works as a bridge between the BlockBeats content API and AI tools, enabling agents to fetch and process blockchain-related news programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need a dedicated blockchain news feed from BlockBeats.", "useCases": [ "Fetching latest blockchain headlines for an agent-generated market report", "Retrieving in-depth BlockBeats articles for analysis or summarization", "Integrating blockchain news feeds into a custom AI assistant or chatbot" ], "pros": [ "Focuses specifically on blockchain news from a reputable source (BlockBeats)", "Lightweight Python implementation suitable for quick integration into MCP workflows", "Automates access to real-time industry news for AI agents" ], "cons": [ "Limited to content from BlockBeats, not a general news source", "Small project with only 8 stars, indicating limited community adoption or support", "Depends on BlockBeats API availability and may require maintenance as external APIs change" ], "tags": [], "featured": false, "tier": "curated", "stars": 8, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-12-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/kukapay/blockbeats-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "exa-labs-exa-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kukapay-blockbeats-mcp" }, { "slug": "kukapay-binance-alpha-mcp", "name": "kukapay/binance-alpha-mcp", "vendor": "Various", "tagline": "An MCP server for tracking Binance Alpha trades, helping AI agents optimize alpha point accumulation.", "description": "A Binance Alpha trade tracker built as an MCP server. It exposes buy and sell signals to AI agents so they can programmatically accumulate alpha points on the platform.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with agent-driven crypto trading on Binance Alpha", "useCases": [ "Automating Binance Alpha trade execution through an AI agent", "Building a custom dashboard for monitoring alpha point accumulation", "Integrating alpha trade signals into existing trading bots" ], "pros": [ "Tiny footprint (8 GitHub stars, all JavaScript, no dependencies beyond MCP)", "Direct access to Binance Alpha signals without scraping", "Simple API design for quick agent integration" ], "cons": [ "Very early stage with minimal community adoption", "No documentation beyond the README", "Unclear reliability for production trading" ], "tags": [], "featured": false, "tier": "curated", "stars": 8, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2025-05-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/kukapay/binance-alpha-mcp", "relations": { "works_in": [ "cursor", "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kukapay-binance-alpha-mcp" }, { "slug": "kukapay-bridge-metrics-mcp", "name": "kukapay/bridge-metrics-mcp", "vendor": "Various", "tagline": "An MCP server that provides real-time cross-chain bridge metrics.", "description": "An MCP server that exposes real-time metrics for cross-chain bridges. It collects and serves data on bridge activity through the Model Context Protocol, enabling AI agents to query current cross-chain transfer statistics.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need live cross-chain bridge metrics", "useCases": [ "Monitor live cross-chain bridge volumes and transaction counts", "Integrate bridge metrics into AI agent workflows via MCP", "Track bridge health and activity across multiple chains" ], "pros": [ "Provides real-time data for cross-chain bridge monitoring", "Simple MCP interface for easy integration with AI agents", "Lightweight Python implementation" ], "cons": [ "Very early stage with only 2 GitHub stars", "Limited documentation and community support", "Dependency on external bridge data sources may affect reliability" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-09-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/kukapay/bridge-metrics-mcp", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kukapay-bridge-metrics-mcp" }, { "slug": "kukapay-chainlink-feeds-mcp", "name": "kukapay/chainlink-feeds-mcp", "vendor": "Various", "tagline": "An MCP server that provides real-time access to Chainlink's decentralized on-chain price feeds.", "description": "An MCP server that provides real-time access to Chainlink's decentralized on-chain price feeds. It exposes price data from Chainlink oracles through the Model Context Protocol, enabling AI agents and LLMs to query current asset prices directly from the blockchain.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or bots that need reliable, real-time on-chain price data from Chainlink oracles.", "useCases": [ "Fetching real-time crypto or forex prices for trading bots or analytics", "Integrating live price data into AI agents that execute DeFi strategies", "Building dashboards or alerts that react to on-chain price changes" ], "pros": [ "Direct access to decentralized, tamper-resistant price data from Chainlink oracles", "Simple MCP interface makes it easy to connect with AI agents and LLMs", "Lightweight JavaScript implementation with minimal dependencies" ], "cons": [ "Limited to Chainlink-supported assets and networks", "Requires running an MCP-compatible client or host to use", "Small community and low star count (6) may mean less support and fewer updates" ], "tags": [], "featured": false, "tier": "curated", "stars": 6, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2025-07-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/kukapay/chainlink-feeds-mcp", "relations": { "works_in": [ "cursor", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kukapay-chainlink-feeds-mcp" }, { "slug": "kukapay-cointelegraph-mcp", "name": "kukapay/cointelegraph-mcp", "vendor": "Various", "tagline": "An MCP server that provides real-time access to the latest news from Cointelegraph.", "description": "An MCP server that provides real-time access to the latest news from Cointelegraph. It uses the Model Context Protocol to integrate cryptocurrency news into AI assistants and developer tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building crypto-aware AI agents or chatbots that need live Cointelegraph headlines.", "useCases": [ "Fetching the latest Cointelegraph headlines for market analysis", "Integrating crypto news into a chatbot or agent workflow", "Building a custom dashboard that displays real-time crypto news" ], "pros": [ "Lightweight Python server with a focused single-purpose API", "Provides real-time news without requiring a separate API key", "Simple MCP integration for AI assistants and automation tools" ], "cons": [ "Limited to Cointelegraph as the sole news source", "Small community with only 11 GitHub stars", "No search or filtering capabilities beyond the latest feed" ], "tags": [], "featured": false, "tier": "curated", "stars": 11, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-04-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/kukapay/cointelegraph-mcp", "relations": { "works_in": [ "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kukapay-cointelegraph-mcp" }, { "slug": "kukapay-crypto-feargreed-mcp", "name": "kukapay/crypto-feargreed-mcp", "vendor": "Various", "tagline": "Providing real-time and historical Crypto Fear & Greed Index data", "description": "This MCP server provides real-time and historical Crypto Fear & Greed Index data via the Model Context Protocol. It exposes tools that allow AI agents to query the current index value and historical data for sentiment analysis.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents for crypto trading or sentiment analysis who need quick MCP access to the Fear & Greed Index.", "useCases": [ "Integrate Fear & Greed index into crypto trading agents", "Fetch historical sentiment data for strategy backtesting", "Monitor real-time market sentiment in AI dashboards" ], "pros": [ "Delivers both real-time and historical index values", "Simple integration for any MCP-compatible runtime", "Lightweight Python implementation with clear API" ], "cons": [ "Requires an MCP-compatible AI agent framework to use", "Data accuracy depends entirely on the upstream Alternative.me source", "Only covers a single sentiment indicator, not comprehensive market data" ], "tags": [], "featured": false, "tier": "curated", "stars": 53, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-05-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/kukapay/crypto-feargreed-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kukapay-crypto-feargreed-mcp" }, { "slug": "kukapay-crypto-indicators-mcp", "name": "kukapay/crypto-indicators-mcp", "vendor": "Various", "tagline": "An MCP server providing a range of cryptocurrency technical analysis indicators and strategies.", "description": "An MCP server that exposes a range of cryptocurrency technical analysis indicators and strategies via the Model Context Protocol. It is written in JavaScript and provides a programmatic interface for integrating these indicators into applications.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building crypto analysis tools or trading bots who need a lightweight, protocol-based indicator server", "useCases": [ "Integrating technical indicators into a crypto trading dashboard", "Building automated trading strategies that consume indicator data", "Prototyping analysis tools that require real-time or historical indicator values" ], "pros": [ "Open source with 125 stars, indicating community interest", "Leverages the MCP protocol for standardized tool integration", "Written in JavaScript, making it accessible to a wide developer audience" ], "cons": [ "Limited to cryptocurrency markets; no support for other asset classes", "Requires familiarity with the MCP protocol to use effectively", "Not a full trading platform; only provides indicator calculations" ], "tags": [], "featured": false, "tier": "curated", "stars": 125, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2025-12-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/kukapay/crypto-indicators-mcp", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [ "antv-mcp-server-chart" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kukapay-crypto-indicators-mcp" }, { "slug": "kukapay-crypto-news-mcp", "name": "kukapay/crypto-news-mcp", "vendor": "Various", "tagline": "An MCP server that provides real-time cryptocurrency news sourced from NewsData for AI agents.", "description": "An MCP server that delivers real-time cryptocurrency news from the NewsData API to AI agents. It operates via the Model Context Protocol, allowing agents to fetch current market news. The server is built in Python.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need up-to-date cryptocurrency news.", "useCases": [ "Fetching latest crypto headlines for an agent", "Serving news data to trading bots", "Integrating real-time news into AI analysis pipelines" ], "pros": [ "Delivers real-time news from a reliable API source", "Lightweight Python MCP server easy to deploy", "Open source with simple API integration for agents" ], "cons": [ "Limited coverage (only NewsData source)", "Low community adoption (14 stars)", "Requires NewsData API key and may have rate limits" ], "tags": [], "featured": false, "tier": "curated", "stars": 14, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-12-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/kukapay/crypto-news-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "exa-labs-exa-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kukapay-crypto-news-mcp" }, { "slug": "kukapay-crypto-orderbook-mcp", "name": "kukapay/crypto-orderbook-mcp", "vendor": "Various", "tagline": "An MCP server that analyzes order book depth and imbalance across major crypto exchanges.", "description": "An MCP server that analyzes order book depth and imbalance across major crypto exchanges. It connects to exchange APIs to compute liquidity concentration and bid-ask volume asymmetry. Designed for integration into trading systems or analysis pipelines.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building crypto trading bots or analysis tools that need cross-exchange order book intelligence", "useCases": [ "Assess liquidity depth before executing large orders", "Detect order book imbalance to gauge short-term sentiment", "Identify support and resistance levels from clustered orders" ], "pros": [ "Aggregates order book data from multiple major exchanges", "Provides quantitative depth and imbalance metrics for algorithmic strategies", "Open-source Python implementation with MCP protocol for easy integration" ], "cons": [ "Low GitHub star count (17) indicates limited adoption or maturity", "Requires deploying and maintaining an MCP server", "May lack real-time streaming or cover only a subset of exchanges" ], "tags": [], "featured": false, "tier": "curated", "stars": 17, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-05-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/kukapay/crypto-orderbook-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "antv-mcp-server-chart" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kukapay-crypto-orderbook-mcp" }, { "slug": "kukapay-crypto-portfolio-mcp", "name": "kukapay/crypto-portfolio-mcp", "vendor": "Various", "tagline": "An MCP server for tracking and managing cryptocurrency portfolio allocations.", "description": "An MCP server for tracking and managing cryptocurrency portfolio allocations. It provides a standardized interface for querying and updating portfolio data. Built in Python, it is designed for integration with AI agents and tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need real-time crypto portfolio data", "useCases": [ "Integrate crypto portfolio data into AI agent workflows", "Automate portfolio rebalancing through MCP commands", "Query current portfolio allocations via a server endpoint" ], "pros": [ "Open source and Python-based for easy customization", "Lightweight server with a focused feature set", "Standard MCP protocol enables broad tool compatibility" ], "cons": [ "Low star count (9) indicates limited community adoption", "May lack extensive documentation or examples", "Potential instability due to early stage of development" ], "tags": [], "featured": false, "tier": "curated", "stars": 9, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-04-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/kukapay/crypto-portfolio-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "browsermcp-mcp", "agent-infra-mcp-server-browser", "exa-labs-exa-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kukapay-crypto-portfolio-mcp" }, { "slug": "kukapay-crypto-projects-mcp", "name": "kukapay/crypto-projects-mcp", "vendor": "Various", "tagline": "An MCP server that provides cryptocurrency project data to AI agents", "description": "An MCP server that delivers cryptocurrency project data to AI agents via the Model Context Protocol. It enables agents to query structured information about crypto projects through a Python-based server.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers adding cryptocurrency project data to MCP-compatible AI agents", "useCases": [ "Integrating real-time crypto project data into AI assistants or chatbots", "Building research tools that fetch project details for analysis", "Enabling portfolio tracking agents with up-to-date project information" ], "pros": [ "Provides structured data for easy consumption by AI agents", "Follows the MCP standard for interoperability with compatible tools", "Open-source Python implementation for customization" ], "cons": [ "Very early stage with only 1 GitHub star and likely minimal community support", "Limited documentation and testing beyond the repository itself", "Data coverage and update frequency are unknown" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-05-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/kukapay/crypto-projects-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kukapay-crypto-projects-mcp" }, { "slug": "kukapay-crypto-whitepapers-mcp", "name": "kukapay/crypto-whitepapers-mcp", "vendor": "Various", "tagline": "An MCP server serving as a structured knowledge base of crypto whitepapers.", "description": "An MCP server that provides a structured knowledge base of crypto whitepapers. It exposes a set of tools and resources for AI agents to query and retrieve whitepaper contents programmatically through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to answer questions from crypto whitepapers.", "useCases": [ "Query specific crypto whitepapers by title or keyword", "Retrieve technical details and consensus mechanisms from protocol whitepapers", "Compare design decisions across different blockchain projects" ], "pros": [ "Structured access to a curated set of crypto whitepapers", "Integrates seamlessly with MCP-compatible AI assistants and frameworks", "Python codebase is simple to extend with additional documents" ], "cons": [ "Low community adoption (6 stars) suggests early or niche development", "Whitepaper coverage may be limited to the maintainer's selection", "Requires an MCP-compatible client to be useful (not a standalone search tool)" ], "tags": [], "featured": false, "tier": "curated", "stars": 6, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-04-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/kukapay/crypto-whitepapers-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kukapay-crypto-whitepapers-mcp" }, { "slug": "kukapay-cryptopanic-mcp-server", "name": "kukapay/cryptopanic-mcp-server", "vendor": "Various", "tagline": "Provide latest cryptocurrency news to AI agents.", "description": "kukapay/cryptopanic-mcp-server is a Model Context Protocol server that retrieves the latest cryptocurrency news from CryptoPanic. It enables AI agents to query for current news headlines and updates through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need real-time crypto news", "useCases": [ "Fetch current crypto market news for trading bots", "Integrate news updates into AI research assistants", "Feed news data to sentiment analysis models" ], "pros": [ "Open source and written in Python, easy to modify or extend", "Simple MCP interface for quick integration with compatible AI agents", "Provides access to a dedicated crypto news source" ], "cons": [ "Limited to a single news source, CryptoPanic", "Requires a live internet connection to fetch data", "Small community with only 72 stars means limited support" ], "tags": [], "featured": false, "tier": "curated", "stars": 72, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-12-09", "addedAt": "2026-06-01", "officialLink": "https://github.com/kukapay/cryptopanic-mcp-server", "relations": { "works_in": [ "cline", "continue", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kukapay-cryptopanic-mcp-server" }, { "slug": "kukapay-dao-proposals-mcp", "name": "kukapay/dao-proposals-mcp", "vendor": "Various", "tagline": "An MCP server that aggregates live governance proposals from major DAOs.", "description": "An MCP server that aggregates live governance proposals from major DAOs. Built in Python with 2 GitHub stars, it provides a standardized interface for querying proposals across decentralized autonomous organizations. The server uses the Model Context Protocol to enable large language models and agents to access proposal data.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or tools that need real-time governance data from major DAOs", "useCases": [ "Integrate live DAO proposal data into AI agents", "Build a dashboard for governance activity across multiple DAOs", "Query proposals from a single endpoint for analysis or automation" ], "pros": [ "Simple MCP-based interface for LLMs and agents", "Aggregates proposals from multiple major DAOs in one service", "Lightweight Python server that is easy to deploy" ], "cons": [ "Very low GitHub stars suggests limited adoption and testing", "Only covers major DAOs and may not support custom or newer ones", "Requires self-hosting the server and handling rate limits" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-08-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/kukapay/dao-proposals-mcp", "relations": { "works_in": [ "cline", "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kukapay-dao-proposals-mcp" }, { "slug": "kukapay-defi-yields-mcp", "name": "kukapay/defi-yields-mcp", "vendor": "Various", "tagline": "An MCP server for AI agents to explore DeFi yield opportunities, powered by DefiLlama.", "description": "An MCP server that lets AI agents query DeFi yield opportunities using data from DefiLlama. It exposes yield rates and protocol comparisons through the Model Context Protocol standard. Built in Python, it is open source and designed for integration into agent workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need real-time DeFi yield data via a standardized protocol", "useCases": [ "Fetch current yield rates for a specific DeFi protocol", "Compare yields across multiple protocols in a single query", "Integrate yield data into an AI agent's decision loop" ], "pros": [ "Leverages DefiLlama's comprehensive yield data without building a custom scraper", "Follows the MCP standard, making it compatible with many AI agent frameworks", "Open source and lightweight Python implementation" ], "cons": [ "Low GitHub stars (14) indicate limited community adoption and testing", "Depends on DefiLlama's API availability and rate limits", "Documentation and usage examples may be sparse" ], "tags": [], "featured": false, "tier": "curated", "stars": 14, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-04-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/kukapay/defi-yields-mcp", "relations": { "works_in": [ "claude-code", "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kukapay-defi-yields-mcp" }, { "slug": "kukapay-dex-pools-mcp", "name": "kukapay/dex-pools-mcp", "vendor": "Various", "tagline": "An MCP server that provides AI agents with real-time access to DEX liquidity pool data.", "description": "A Python-based MCP server that exposes real-time decentralized exchange liquidity pool data to AI agents. It uses the Model Context Protocol to allow agents to query pool information programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need live, on-chain DEX liquidity data without building their own data pipeline.", "useCases": [ "Fetch current liquidity pool reserves and metrics for trading analysis by an AI agent", "Integrate real-time DEX data into an agent-based portfolio monitoring system", "Enable an AI assistant to answer user questions about specific liquidity pools" ], "pros": [ "Follows the MCP standard, making it straightforward to plug into AI agent frameworks", "Provides real-time data directly from DEX pools without requiring a custom API integration", "Lightweight Python implementation that is easy to deploy and modify" ], "cons": [ "Very early-stage project with only 1 GitHub star and minimal community validation", "Limited documentation and no evidence of production testing or reliability guarantees", "Dependence on external DEX data sources may introduce latency or availability issues" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-10-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/kukapay/dex-pools-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kukapay-dex-pools-mcp" }, { "slug": "kukapay-dexscreener-trending-mcp", "name": "kukapay/dexscreener-trending-mcp", "vendor": "Various", "tagline": "An MCP server that provides real-time trending tokens from DexScreener.", "description": "An MCP server built in JavaScript that retrieves real-time trending tokens from DexScreener. It exposes this data through the Model Context Protocol for integration into AI agents or other applications.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or tools that need live trending token data from DexScreener via MCP", "useCases": [ "Feed trending token data into an AI trading assistant", "Monitor real-time market trends for DeFi analysis", "Integrate DexScreener trending tokens into a custom dashboard" ], "pros": [ "Provides real-time trending token data from a reputable source", "Simple MCP interface for easy integration with AI agents", "Lightweight JavaScript implementation" ], "cons": [ "Zero GitHub stars suggests limited community adoption or testing", "Only supports DexScreener trending data, no other metrics or chains", "No documented error handling or reliability guarantees" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-01-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/kukapay/dexscreener-trending-mcp", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kukapay-dexscreener-trending-mcp" }, { "slug": "kukapay-dune-analytics-mcp", "name": "kukapay/dune-analytics-mcp", "vendor": "Various", "tagline": "A mcp server that bridges Dune Analytics data to AI agents.", "description": "A Model Context Protocol server that connects Dune Analytics data to AI agents. It allows agents to query on-chain data through Dune's API using natural language or structured requests.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need on-chain crypto data from Dune Analytics", "useCases": [ "Enable AI agents to fetch blockchain analytics from Dune", "Automate on-chain data queries for dashboards or reports", "Integrate crypto market data into agent workflows" ], "pros": [ "Simple bridge between Dune's rich data and AI agents", "Lightweight Python implementation with clear MCP protocol", "Open source with active community (40 stars)" ], "cons": [ "Requires a Dune API key and subscription", "Limited to Dune's available datasets and query speed", "Small user base may mean slower support or updates" ], "tags": [], "featured": false, "tier": "curated", "stars": 40, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-05-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/kukapay/dune-analytics-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb", "exa-labs-exa-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kukapay-dune-analytics-mcp" }, { "slug": "kukapay-etf-flow-mcp", "name": "kukapay/etf-flow-mcp", "vendor": "Various", "tagline": "An MCP server that delivers crypto ETF flow data to power AI agents' decision-making.", "description": "An MCP server that delivers crypto ETF flow data. It exposes endpoints for querying flows, enabling AI agents to access current ETF flow information.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that require crypto ETF flow metrics", "useCases": [ "Access crypto ETF flow data for automated trading strategies", "Feed flow data into AI agent decision pipelines", "Monitor ETF inflow and outflow trends programmatically" ], "pros": [ "Provides structured crypto ETF flow data through the MCP protocol", "Python implementation allows easy integration with AI agent workflows", "Open-source repository enables customization and inspection" ], "cons": [ "Limited to crypto ETF flows, not traditional ETFs or other assets", "Small user base (8 stars) suggests limited community support", "Data accuracy depends on external sources not specified" ], "tags": [], "featured": false, "tier": "curated", "stars": 8, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-04-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/kukapay/etf-flow-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "exa-labs-exa-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kukapay-etf-flow-mcp" }, { "slug": "kukapay-freqtrade-mcp", "name": "kukapay/freqtrade-mcp", "vendor": "Various", "tagline": "An MCP server that integrates with the Freqtrade cryptocurrency trading bot.", "description": "An MCP server that connects AI agents to the Freqtrade cryptocurrency trading bot. It exposes Freqtrade's trading operations as tools that an agent can call to manage trades, check balances, and retrieve market data.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to interact with a Freqtrade cryptocurrency trading bot", "useCases": [ "Let an AI agent open and close trades on a Freqtrade bot", "Query portfolio balances and trade history through natural language", "Automate trading strategy adjustments via agent-driven commands" ], "pros": [ "Bridges AI agents with a real trading bot for automated execution", "Lightweight Python implementation with clear MCP protocol", "Active open source project with growing community adoption" ], "cons": [ "Requires a running Freqtrade instance and API access", "Limited to Freqtrade's supported exchanges and features", "No built-in safety guards for agent-initiated trades" ], "tags": [], "featured": false, "tier": "curated", "stars": 118, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-12-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/kukapay/freqtrade-mcp", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kukapay-freqtrade-mcp" }, { "slug": "kukapay-ethereum-validator-queue-mcp", "name": "kukapay/ethereum-validator-queue-mcp", "vendor": "Various", "tagline": "An MCP server that tracks Ethereum’s validator activation and exit queues in real time.", "description": "An MCP server that tracks Ethereum's validator activation and exit queues in real time. It provides a simple interface for querying current queue lengths and estimated wait times.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building staking or Ethereum infrastructure tools that need live queue data", "useCases": [ "Monitor validator queue status for staking pool operations", "Estimate wait times for new validator activations", "Track exit queue dynamics for network health analysis" ], "pros": [ "Provides real-time data on validator queue status", "Simple MCP interface for integration with other tools", "Lightweight Python implementation" ], "cons": [ "Very early stage with only 1 star and limited community adoption", "No documentation beyond the basic description", "May lack advanced features like historical data or alerts" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-08-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/kukapay/ethereum-validator-queue-mcp", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kukapay-ethereum-validator-queue-mcp" }, { "slug": "kukapay-funding-rates-mcp", "name": "kukapay/funding-rates-mcp", "vendor": "Various", "tagline": "An MCP server that provides real-time funding rate data across major crypto exchanges.", "description": "An MCP server that supplies real-time funding rate data from major crypto exchanges. It exposes funding rates through the Model Context Protocol for integration with AI agents and developer tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building crypto trading tools or AI agents that need live funding rate data", "useCases": [ "Fetch current funding rates for arbitrage analysis", "Monitor funding rate changes across exchanges", "Integrate funding rate data into trading bots or dashboards" ], "pros": [ "Provides real-time data from multiple major exchanges", "Simple MCP interface for easy integration", "Lightweight Python implementation" ], "cons": [ "Limited to funding rate data only", "Small community with only 7 GitHub stars", "No historical data or backtesting support" ], "tags": [], "featured": false, "tier": "curated", "stars": 7, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-04-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/kukapay/funding-rates-mcp", "relations": { "works_in": [ "claude-code", "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kukapay-funding-rates-mcp" }, { "slug": "kukapay-hyperliquid-info-mcp", "name": "kukapay/hyperliquid-info-mcp", "vendor": "Various", "tagline": "An MCP server that provides real-time data and insights from the Hyperliquid perp DEX for use in bots, dashboards, and analytics.", "description": "This is a Model Context Protocol server that provides real-time data from the Hyperliquid perpetual DEX. It exposes market information, positions, and order book data for integration into bots, dashboards, and analytics tools. The server is written in Python and can be run locally or deployed as a service.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building Hyperliquid trading bots or analytics tools using the Model Context Protocol", "useCases": [ "Building trading bots that consume Hyperliquid market data", "Creating real-time dashboards for Hyperliquid positions and orders", "Analyzing perpetual DEX market trends and liquidity" ], "pros": [ "Provides real-time Hyperliquid data through a standardized MCP interface", "Simple Python server that is easy to run and deploy", "Open source with a lightweight codebase" ], "cons": [ "Small community (28 stars) and limited documentation", "Requires an MCP-compatible client or adapter for integration", "Dependent on Hyperliquid API availability and rate limits" ], "tags": [], "featured": false, "tier": "curated", "stars": 28, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/kukapay/hyperliquid-info-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kukapay-hyperliquid-info-mcp" }, { "slug": "kukapay-hyperliquid-whalealert-mcp", "name": "kukapay/hyperliquid-whalealert-mcp", "vendor": "Various", "tagline": "An MCP server that provides real-time whale alerts on Hyperliquid.", "description": "An MCP server that monitors Hyperliquid for large trades and sends real-time whale alerts. It uses Python to connect to the Hyperliquid API and emit notifications when trades exceed a configurable threshold.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building trading bots or AI agents that need real-time whale alerts on Hyperliquid.", "useCases": [ "Track large market orders on Hyperliquid for trading signals", "Integrate whale alerts into an AI agent or chat interface via MCP", "Monitor whale activity for research or backtesting strategies" ], "pros": [ "Lightweight Python server with a single focused purpose", "Real-time alerts enable quick reaction to market moves", "Configurable threshold adapts to different trading styles" ], "cons": [ "Limited to Hyperliquid DEX only, no multi-exchange support", "Requires running and maintaining your own MCP server instance", "Small community (12 stars) means limited support and updates" ], "tags": [], "featured": false, "tier": "curated", "stars": 12, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-11-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/kukapay/hyperliquid-whalealert-mcp", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kukapay-hyperliquid-whalealert-mcp" }, { "slug": "kukapay-jupiter-mcp", "name": "kukapay/jupiter-mcp", "vendor": "Various", "tagline": "An MCP server for executing token swaps on the Solana blockchain using Jupiter's new Ultra API.", "description": "An MCP server that enables token swaps on Solana via Jupiter’s Ultra API. It exposes swap execution as a tool callable from MCP-compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based agents or assistants that need Solana token swap functionality", "useCases": [ "Executing token swaps from a chat or agent interface", "Building a Solana DeFi bot that uses MCP for tool orchestration", "Prototyping swap workflows without writing custom Solana transaction logic" ], "pros": [ "Direct integration with Jupiter’s high-performance Ultra API", "Small, focused codebase easy to audit or extend", "Low overhead for adding swap capabilities to MCP-based agents" ], "cons": [ "Requires an MCP-compatible client to use; not a standalone app", "Limited to token swaps only, no other DeFi actions", "No built-in error handling or retry logic for failed transactions" ], "tags": [], "featured": false, "tier": "curated", "stars": 27, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2025-06-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/kukapay/jupiter-mcp", "relations": { "works_in": [ "cline", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kukapay-jupiter-mcp" }, { "slug": "kukapay-modbus-mcp", "name": "kukapay/modbus-mcp", "vendor": "Various", "tagline": "An MCP server that standardizes and contextualizes industrial Modbus data.", "description": "A Model Context Protocol (MCP) server that wraps Modbus industrial communication protocols. It standardizes and contextualizes data from Modbus devices, enabling AI agents or MCP-compatible tools to read and write registers and coils. Built in Python, the server exposes Modbus operations as MCP resources and tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based AI assistants or automation tools for industrial environments", "useCases": [ "Connecting AI agents to industrial PLCs and RTUs via Modbus", "Building MCP-powered dashboards that monitor factory sensor data", "Enabling automated control loops with natural language commands over Modbus" ], "pros": [ "Bridges industrial Modbus data directly into the MCP ecosystem", "Lightweight Python implementation, easy to extend or embed", "Reduces the complexity of parsing raw Modbus frames for AI applications" ], "cons": [ "Small community and limited documentation due to low star count", "Assumes MCP compatibility, restricting use outside that runtime", "May require additional networking configuration for large Modbus networks" ], "tags": [], "featured": false, "tier": "curated", "stars": 24, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-05-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/kukapay/modbus-mcp", "relations": { "works_in": [ "cursor", "continue", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kukapay-modbus-mcp" }, { "slug": "kukapay-opcua-mcp", "name": "kukapay/opcua-mcp", "vendor": "Various", "tagline": "An MCP server that connects to OPC UA-enabled industrial systems.", "description": "An MCP server that connects to OPC UA-enabled industrial systems. It enables AI agents to read and write data from industrial equipment using the OPC UA protocol. Built in Python, it provides a standardized interface for integrating industrial automation with AI workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents for industrial automation and monitoring", "useCases": [ "Reading sensor data from PLCs", "Writing setpoints to industrial controllers", "Monitoring production line metrics via AI agents" ], "pros": [ "Enables AI integration with legacy OPC UA systems", "Standard MCP interface simplifies agent development", "Python-based, easy to extend" ], "cons": [ "Limited community adoption (26 stars)", "Requires OPC UA server setup and network access", "No built-in security or authentication beyond OPC UA" ], "tags": [], "featured": false, "tier": "curated", "stars": 26, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-10-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/kukapay/opcua-mcp", "relations": { "works_in": [ "cursor", "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kukapay-opcua-mcp" }, { "slug": "kukapay-nearby-search-mcp", "name": "kukapay/nearby-search-mcp", "vendor": "Various", "tagline": "An MCP server for nearby place searches with IP-based location detection.", "description": "An MCP server that lets AI agents search for nearby places using IP-based geolocation. It accepts natural language queries and returns structured results from a places API.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building location-aware AI agents or chatbots that need quick, approximate place search without user permission prompts.", "useCases": [ "Find restaurants or services near the user's current location", "Integrate location-aware search into AI assistants or chatbots", "Build automated tools that respond to location-based queries" ], "pros": [ "Simple setup with no API key required for basic use", "Works with any MCP-compatible client or host", "Lightweight Python implementation" ], "cons": [ "IP-based location is less accurate than GPS or user-provided coordinates", "Limited to 22 GitHub stars, indicating a small community and potential lack of support", "Dependent on external places API availability and rate limits" ], "tags": [], "featured": false, "tier": "curated", "stars": 22, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-03-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/kukapay/nearby-search-mcp", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kukapay-nearby-search-mcp" }, { "slug": "kukapay-polymarket-predictions-mcp", "name": "kukapay/polymarket-predictions-mcp", "vendor": "Various", "tagline": "An MCP server that delivers real-time market odds from Polymarket.", "description": "This is an MCP server that provides real-time market odds from Polymarket. It uses the Model Context Protocol to let AI agents query current event probabilities. Built in Python with a straightforward API.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need live prediction market odds.", "useCases": [ "Querying real-time prediction market odds", "Integrating event probability data into AI workflows", "Fetching Polymarket pricing for automation" ], "pros": [ "Lightweight Python implementation", "Direct access to live Polymarket odds", "Simple MCP protocol integration" ], "cons": [ "Limited to Polymarket data only", "Low community adoption with 4 stars", "Requires an MCP compatible client" ], "tags": [], "featured": false, "tier": "curated", "stars": 4, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-09-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/kukapay/polymarket-predictions-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kukapay-polymarket-predictions-mcp" }, { "slug": "kukapay-pancakeswap-poolspy-mcp", "name": "kukapay/pancakeswap-poolspy-mcp", "vendor": "Various", "tagline": "An MCP server that tracks newly created liquidity pools on Pancake Swap", "description": "An MCP server that monitors Pancake Swap for newly created liquidity pools. It uses Python to fetch and expose pool creation events, enabling automated tracking of new trading pairs.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building automated trading or monitoring tools on BNB Chain", "useCases": [ "Detect new liquidity pools as they are created on Pancake Swap", "Automate alerts or actions when a new pool appears", "Integrate pool creation data into trading or analysis workflows" ], "pros": [ "Lightweight and focused on a single, clear task", "Easy to integrate with MCP-compatible clients", "Open source with a permissive license" ], "cons": [ "Limited to Pancake Swap only, no multi-chain support", "Low community adoption with only 8 stars", "No built-in filtering or analysis of pool data" ], "tags": [], "featured": false, "tier": "curated", "stars": 8, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-05-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/kukapay/pancakeswap-poolspy-mcp", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kukapay-pancakeswap-poolspy-mcp" }, { "slug": "kukapay-pumpswap-mcp", "name": "kukapay/pumpswap-mcp", "vendor": "Various", "tagline": "An MCP server that enables AI agents to interact with PumpSwap for real-time token swaps and automated on-chain trading.", "description": "An MCP server that lets AI agents perform real-time token swaps and automated on-chain trading on PumpSwap. Written in Python, it provides a standardized interface for agents to execute trades programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building autonomous trading agents on PumpSwap", "useCases": [ "Building automated trading bots on PumpSwap", "Integrating real-time token swaps into AI agent workflows", "Executing on-chain trades triggered by market conditions" ], "pros": [ "Enables direct on-chain trading from AI agents", "Real-time swap execution without manual intervention", "Python-based, easy to integrate with existing AI stacks" ], "cons": [ "Low GitHub star count suggests early-stage or niche adoption", "Limited community and documentation may slow onboarding", "Relies on network conditions and PumpSwap availability" ], "tags": [], "featured": false, "tier": "curated", "stars": 6, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-05-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/kukapay/pumpswap-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kukapay-pumpswap-mcp" }, { "slug": "kukapay-raydium-launchlab-mcp", "name": "kukapay/raydium-launchlab-mcp", "vendor": "Various", "tagline": "An MCP server that enables AI agents to launch, buy, and sell tokens on the Raydium Launchpad(aka LaunchLab).", "description": "An open-source MCP server that enables AI agents to launch, buy, and sell tokens on Raydium Launchpad (LaunchLab) on Solana. It exposes token operations through the Model Context Protocol, allowing agents to interact with the DeFi platform programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building autonomous agents or bots for Solana DeFi token management", "useCases": [ "Automating token launches on Raydium Launchpad", "Building AI agents that trade or manage Solana tokens", "Integrating Raydium token operations into agentic workflows" ], "pros": [ "Provides a direct MCP interface for token operations on Raydium", "Written in JavaScript, easy to integrate with Node.js projects", "Open source with MIT license, free to use and modify" ], "cons": [ "Very early stage with only 3 GitHub stars and limited community", "Requires the MCP framework and may have dependencies on other tools", "No built-in safety checks for high-value token operations" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2025-05-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/kukapay/raydium-launchlab-mcp", "relations": { "works_in": [ "claude-code", "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kukapay-raydium-launchlab-mcp" }, { "slug": "kukapay-rug-check-mcp", "name": "kukapay/rug-check-mcp", "vendor": "Various", "tagline": "An MCP server that detects potential risks in Solana meme tokens.", "description": "This tool is a Model Context Protocol (MCP) server written in Python. It detects potential risks in Solana meme tokens. Developers can integrate it into AI agent workflows to screen tokens for red flags.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or bots that need to assess risks of Solana meme tokens", "useCases": [ "Integrate token risk checks into a trading assistant or bot", "Automate due diligence on Solana meme tokens before engagement", "Add a risk-analysis step to an AI-driven research pipeline" ], "pros": [ "Open source and Python-based, easy to customize", "Specifically targets the high-risk Solana meme token space", "Follows the MCP standard, enabling integration with MCP-compatible clients" ], "cons": [ "Limited to Solana meme tokens, not general token analysis", "Low GitHub star count indicates limited community adoption", "Requires an MCP-compatible runtime or client to use" ], "tags": [], "featured": false, "tier": "curated", "stars": 19, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-05-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/kukapay/rug-check-mcp", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kukapay-rug-check-mcp" }, { "slug": "kukapay-stargate-bridge-mcp", "name": "kukapay/stargate-bridge-mcp", "vendor": "Various", "tagline": "An MCP server that enables cross-chain token transfers via the Stargate protocol.", "description": "This is an MCP server that enables cross-chain token transfers via the Stargate protocol. It exposes tools for bridging assets between supported blockchains through the Stargate decentralized bridge.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or automation scripts that need to move tokens across blockchains", "useCases": [ "Transfer tokens between blockchains using Stargate", "Integrate cross-chain bridging into AI agents via MCP", "Automate cross-chain DeFi operations" ], "pros": [ "Leverages Stargate's established cross-chain bridge for interoperability", "MCP protocol allows easy integration with AI agents and automation tools", "Python-based, simple to extend and deploy" ], "cons": [ "Zero stars on GitHub indicates very early stage and limited community trust", "Dependent on Stargate's liquidity and supported chain pairs", "Requires an MCP-compatible client to function" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-10-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/kukapay/stargate-bridge-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kukapay-stargate-bridge-mcp" }, { "slug": "kukapay-thegraph-mcp", "name": "kukapay/thegraph-mcp", "vendor": "Various", "tagline": "An MCP server that powers AI agents with indexed blockchain data from The Graph.", "description": "This MCP server enables AI agents to access indexed blockchain data from The Graph. It uses Python and implements the Model Context Protocol to allow agents to query on-chain data through a standardized interface. The tool connects to The Graph's decentralized network to retrieve structured blockchain information.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need access to decentralized blockchain data", "useCases": [ "Query historical blockchain events for AI analysis", "Enable AI agents to fetch token balances and transaction data", "Integrate on-chain data retrieval into AI workflows" ], "pros": [ "Leverages The Graph's indexed data for efficient queries", "Standard MCP interface enables easy integration with AI agent frameworks", "Open source Python implementation" ], "cons": [ "Low community traction with only 8 stars", "Limited documentation or support for production use", "Dependency on The Graph network availability" ], "tags": [], "featured": false, "tier": "curated", "stars": 8, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-07-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/kukapay/thegraph-mcp", "relations": { "works_in": [ "cline", "claude-code", "aider", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kukapay-thegraph-mcp" }, { "slug": "kukapay-token-minter-mcp", "name": "kukapay/token-minter-mcp", "vendor": "Various", "tagline": "An MCP server providing tools for AI agents to mint ERC-20 tokens across multiple blockchains.", "description": "An MCP server that exposes tools for AI agents to mint ERC-20 tokens on multiple blockchains. It implements the Model Context Protocol so agents can trigger token creation through standardized tool calls.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to programmatically mint ERC-20 tokens across different chains", "useCases": [ "Automating token distribution for airdrops or rewards via an AI agent", "Enabling AI-driven token creation in multi-chain DeFi applications", "Integrating token minting capabilities into agentic workflows" ], "pros": [ "Works across multiple blockchains, increasing flexibility", "Leverages the MCP standard for easy integration with AI agents", "Lightweight JavaScript implementation" ], "cons": [ "Low community adoption (18 stars) may indicate limited testing or support", "Only supports ERC-20 tokens, not other token standards", "Documentation and examples may be sparse given the early stage" ], "tags": [], "featured": false, "tier": "curated", "stars": 18, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2025-04-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/kukapay/token-minter-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kukapay-token-minter-mcp" }, { "slug": "kukapay-token-revoke-mcp", "name": "kukapay/token-revoke-mcp", "vendor": "Various", "tagline": "An MCP server for checking and revoking ERC-20 token allowances across multiple blockchains.", "description": "An MCP server that checks and revokes ERC-20 token allowances across multiple blockchains. It provides a programmatic interface for managing token spending approvals, enabling automation of security audits and cleanup.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing automated token allowance management in MCP-enabled environments", "useCases": [ "Inspect token allowances on Ethereum and other EVM chains", "Revoke unused or excessive token approvals", "Integrate token allowance management into automated workflows" ], "pros": [ "Supports multiple EVM-compatible blockchains", "Open source JavaScript implementation", "Addresses a key DeFi security concern" ], "cons": [ "Limited adoption reflected in 3 GitHub stars", "Requires an MCP-compatible client to operate", "Only supports ERC-20 token allowances" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2025-03-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/kukapay/token-revoke-mcp", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kukapay-token-revoke-mcp" }, { "slug": "kukapay-twitter-username-changes-mcp", "name": "kukapay/twitter-username-changes-mcp", "vendor": "Various", "tagline": "An MCP server that tracks the historical changes of Twitter usernames.", "description": "An MCP server that tracks historical changes of Twitter usernames. It provides a tool for developers to query past username changes for a given Twitter handle. Built in Python, it uses the Model Context Protocol to integrate with AI assistants.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need to track Twitter username changes.", "useCases": [ "Query the history of username changes for a Twitter account.", "Integrate username change tracking into an AI assistant workflow.", "Verify account identity by checking past usernames." ], "pros": [ "Simple MCP interface for easy integration with AI tools.", "Lightweight Python server with minimal dependencies.", "Provides historical data that is not easily accessible via Twitter API." ], "cons": [ "Limited to 3 stars on GitHub, indicating low community adoption.", "May rely on unofficial data sources or scraping, which could be unreliable.", "No clear documentation on data accuracy or update frequency." ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-04-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/kukapay/twitter-username-changes-mcp", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kukapay-twitter-username-changes-mcp" }, { "slug": "kukapay-uniswap-poolspy-mcp", "name": "kukapay/uniswap-poolspy-mcp", "vendor": "Various", "tagline": "An MCP server that tracks newly created liquidity pools on Uniswap across nine blockchain networks.", "description": "An MCP server that monitors newly created liquidity pools on Uniswap across nine blockchain networks. It uses the Model Context Protocol to expose pool creation events to compatible clients. The server is written in Python and is open source.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building trading bots or AI agents that need real-time Uniswap pool creation data", "useCases": [ "Monitor new Uniswap liquidity pools across multiple chains", "Detect early pool creation events for trading strategies", "Integrate real-time pool data into AI agent workflows" ], "pros": [ "Supports nine different blockchain networks", "Follows the MCP standard for easy integration with MCP-compatible clients", "Lightweight Python implementation" ], "cons": [ "Low community adoption and limited documentation", "Requires an MCP-compatible client to function", "No built-in alert or notification system" ], "tags": [], "featured": false, "tier": "curated", "stars": 9, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-03-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/kukapay/uniswap-poolspy-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kukapay-uniswap-poolspy-mcp" }, { "slug": "kukapay-uniswap-price-mcp", "name": "kukapay/uniswap-price-mcp", "vendor": "Various", "tagline": "An MCP server that delivers real-time token prices from Uniswap V3 across multiple chains.", "description": "An MCP server that delivers real-time token prices from Uniswap V3 across multiple blockchains. It is built in JavaScript and designed for integration into applications using the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based tools that need on-chain price data from Uniswap V3.", "useCases": [ "Fetch live token prices for trading bots or analytics dashboards", "Integrate Uniswap V3 price data into MCP-compatible agents", "Monitor price changes across supported chains in real time" ], "pros": [ "Supports multiple EVM chains via Uniswap V3", "Simple MCP integration for existing toolchains", "Lightweight JavaScript implementation with minimal dependencies" ], "cons": [ "Low GitHub stars indicate limited community adoption or maturity", "Only covers Uniswap V3, not other DEXs or aggregators", "Relies on external RPC nodes for data freshness and reliability" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2025-06-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/kukapay/uniswap-price-mcp", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kukapay-uniswap-price-mcp" }, { "slug": "kukapay-uniswap-trader-mcp", "name": "kukapay/uniswap-trader-mcp", "vendor": "Various", "tagline": "An MCP server for AI agents to automate token swaps on Uniswap DEX across multiple blockchains.", "description": "An MCP server that allows AI agents to automate token swaps on Uniswap DEX across multiple blockchains. It implements the Model Context Protocol to grant agents programmatic access to swap functionality.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need decentralized swap capabilities", "useCases": [ "Automating token swaps within AI agent workflows", "Integrating Uniswap swaps into MCP-compatible systems", "Executing cross-chain token exchanges via standardized protocol" ], "pros": [ "Multi-blockchain support for broader Uniswap access", "Standard MCP protocol enables easy integration with compatible agents", "JavaScript codebase accessible to a wide developer audience" ], "cons": [ "Low star count suggests limited community adoption and maturity", "Dependent on Uniswap DEX and MCP ecosystem stability", "Documentation may be sparse due to early stage" ], "tags": [], "featured": false, "tier": "curated", "stars": 37, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2025-05-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/kukapay/uniswap-trader-mcp", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kukapay-uniswap-trader-mcp" }, { "slug": "kukapay-wallet-inspector-mcp", "name": "kukapay/wallet-inspector-mcp", "vendor": "Various", "tagline": "An MCP server that empowers AI agents to inspect any wallet’s balance and onchain activity across major EVM chains and Solana chain.", "description": "An MCP server that empowers AI agents to inspect any wallet’s balance and onchain activity across major EVM chains and the Solana chain. It is implemented in Python and exposes wallet data through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to inspect wallet balances and onchain activity across EVM and Solana networks", "useCases": [ "Integrate wallet balance checks into AI-driven workflows", "Automate onchain activity monitoring for compliance or analytics", "Query EVM and Solana wallet states from conversational agents" ], "pros": [ "Support for both major EVM chains and Solana in one tool", "Open-source Python code that is easy to extend or audit", "Enables AI agents to directly access onchain data via a standard protocol" ], "cons": [ "Limited to read-only balance and activity data (no transaction sending)", "Low GitHub stars suggest early-stage adoption and possible instability", "Requires an MCP-compatible AI agent or orchestration layer to function" ], "tags": [], "featured": false, "tier": "curated", "stars": 8, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/kukapay/wallet-inspector-mcp", "relations": { "works_in": [ "claude-code", "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kukapay-wallet-inspector-mcp" }, { "slug": "kukapay-web3-jobs-mcp", "name": "kukapay/web3-jobs-mcp", "vendor": "Various", "tagline": "An MCP server that provides AI agents with real-time access to curated Web3 jobs.", "description": "An MCP server that gives AI agents real-time access to curated Web3 job listings. It uses the Model Context Protocol to let agents query and retrieve job data from Web3 sources.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to search or monitor Web3 job opportunities.", "useCases": [ "Enable an AI agent to find current Web3 job openings for a user", "Integrate Web3 job search into a developer's AI-powered workflow", "Automate job market research for Web3 roles" ], "pros": [ "Provides real-time access to curated Web3 job data", "Simple MCP integration for AI agents", "Lightweight Python implementation" ], "cons": [ "Limited to Web3 jobs only, not general job listings", "Small community with only 7 GitHub stars", "Depends on external job sources for data freshness" ], "tags": [], "featured": false, "tier": "curated", "stars": 7, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-06-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/kukapay/web3-jobs-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kukapay-web3-jobs-mcp" }, { "slug": "kukapay-whale-tracker-mcp", "name": "kukapay/whale-tracker-mcp", "vendor": "Various", "tagline": "A mcp server for tracking cryptocurrency whale transactions.", "description": "A Model Context Protocol server that tracks large cryptocurrency transactions often called whale moves. It monitors blockchain activity and surfaces significant transfers for integration into AI tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need real-time blockchain whale alerts", "useCases": [ "Monitor large token transfers in real time", "Alert on whale movements for trading signals", "Integrate whale tracking into AI assistants via MCP" ], "pros": [ "Open source and free to use", "Built on the MCP protocol for easy integration with AI tools", "Written in Python for broad compatibility" ], "cons": [ "Limited to 58 stars indicating early stage", "Requires self-hosting and configuration", "May not cover all blockchains" ], "tags": [], "featured": false, "tier": "curated", "stars": 58, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-05-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/kukapay/whale-tracker-mcp", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kukapay-whale-tracker-mcp" }, { "slug": "kunallunia-twitter-mcp", "name": "kunallunia/twitter-mcp", "vendor": "Various", "tagline": "Manage your twitter account using mcp", "description": "This MCP server exposes Twitter account management capabilities through the Model Context Protocol. Developers can connect it to MCP-compatible AI clients to programmatically post tweets, read timelines, and search. It is written in Python and available on GitHub.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Python developers automating Twitter through MCP-enabled AI assistants", "useCases": [ "Automate tweeting and replying from an AI assistant", "Read and monitor home timeline and mentions", "Search Twitter for keywords or user content" ], "pros": [ "Open source with 59 GitHub stars and community visibility", "Works with any MCP-compatible client for flexible AI integration", "Written in Python, easy to understand and extend" ], "cons": [ "Requires a Twitter developer account and API credentials", "Limited to basic CRUD operations; no advanced analytics or streaming", "Dependent on the MCP protocol, which is not yet widely adopted" ], "tags": [], "featured": false, "tier": "curated", "stars": 59, "language": [ "Python" ], "lastUpdated": "2025-05-03", "addedAt": "2026-06-01", "officialLink": "https://github.com/LuniaKunal/mcp-twitter", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "lharries-whatsapp-mcp", "klavis-ai-youtube" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kunallunia-twitter-mcp" }, { "slug": "kunwar-shah-claudex", "name": "kunwar-shah/claudex", "vendor": "Various", "tagline": "MCP server with persistent memory + FTS5 search for Claude Code conversation history. Index your ~/.claude/projects/, expose 10 MCP tools, browse via web UI. MIT-licensed.", "description": "An MCP server that provides persistent memory and full-text search for Claude Code conversation history using FTS5. It indexes the ~/.claude/projects/ directory and exposes ten MCP tools. A web interface allows browsing the indexed history. MIT-licensed.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude Code who need to search and reuse past conversation history", "useCases": [ "Indexing past Claude Code sessions for retrieval", "Searching conversation history with full-text queries", "Browsing and reviewing previous assistant interactions via web UI" ], "pros": [ "Persistent memory extends beyond the default ephemeral context", "Full-text search enables quick retrieval of past conversations", "MIT license allows customization and integration" ], "cons": [ "Requires local indexing which increases disk usage", "Only works with Claude Code history, not other assistants", "Web UI may not be suitable for headless environments" ], "tags": [ "agent-memory", "ai-agent", "ai-memory", "claude-ai", "claude-code", "conversation-history", "conversation-viewer", "developer-tools" ], "featured": false, "tier": "curated", "stars": 88, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/kunwar-shah/claudex", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kunwar-shah-claudex" }, { "slug": "kushneryk-join-cloud", "name": "kushneryk/join.cloud", "vendor": "Various", "tagline": "Join.cloud lets AI agents work together in real-time rooms. Agents join a room, exchange messages, commit files to shared storage, and optionally review each other's work — all thr", "description": "Join.cloud enables AI agents to collaborate in real-time rooms. Agents communicate via messages, commit files to shared storage, and can review each other's work. It uses standard protocols MCP and A2A for interoperability.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building multi-agent systems that need real-time collaboration and file sharing.", "useCases": [ "Collaborative code generation between multiple agent instances", "Multi-agent file editing with shared storage", "Agent-based review workflows with message passing" ], "pros": [ "Supports standard protocols (MCP, A2A) for agent interoperability", "Real-time room-based collaboration with file sharing", "Lightweight TypeScript implementation" ], "cons": [ "Small community and limited stars (65) indicate early-stage project", "Requires agents to be compatible with the protocols used", "No built-in orchestration logic beyond basic room membership" ], "tags": [ "agent-collaboration", "agent-to-agent", "ai", "ai-agents", "ai-agents-mcp", "collaboration", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 65, "language": [ "TypeScript" ], "license": "AGPL-3.0", "lastUpdated": "2026-04-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/kushneryk/join.cloud", "relations": { "works_in": [ "cline", "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kushneryk-join-cloud" }, { "slug": "kuvopllc-better-bear", "name": "KuvopLLC/better-bear", "vendor": "Various", "tagline": "KuvopLLC/better-bear — indexed from awesome-mcp-servers-punkpeye", "description": "A Swift-based MCP server that exposes Bear note-taking app data and actions through the Model Context Protocol. It calls Bear's database and AppleScript bridge to let AI tools search, create, and update notes directly from a Bear library.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "macOS developers who use Bear and want to connect AI assistants to their personal knowledge base", "useCases": [ "Search Bear notes by title or content via MCP", "Create new Bear notes from an AI assistant", "Retrieve and update existing Bear notes programmatically" ], "pros": [ "Native Swift implementation for macOS performance", "Leverages Bear's existing AppleScript interface without extra plugins", "Gives AI assistants direct access to personal notes" ], "cons": [ "Requires Bear app and macOS – no cross‑platform support", "Limited to Bear's local database; no cloud sync integration", "Small community (58 stars) – less battle‑tested than larger MCP servers" ], "tags": [ "ai", "bear-app", "bear-notes", "claude", "cli", "cloudkit", "context-library", "llm" ], "featured": false, "tier": "curated", "stars": 58, "language": [ "Swift" ], "license": "MIT", "lastUpdated": "2026-04-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/KuvopLLC/better-bear/tree/main/mcp-server", "relations": { "works_in": [ "cursor", "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kuvopllc-better-bear" }, { "slug": "kvantra-dev-nouz-mcp", "name": "KVANTRA-dev/NOUZ-MCP", "vendor": "Various", "tagline": "MCP Server for local knowledge systems", "description": "A Python-based MCP server that exposes local knowledge systems for querying via the Model Context Protocol. It enables AI agents to retrieve information from a locally stored knowledge base.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a lightweight, local knowledge server for MCP-based agents.", "useCases": [ "Querying personal documents or notes locally", "Integrating local knowledge into MCP-compatible AI assistants", "Building a private, offline knowledge retrieval system" ], "pros": [ "Simple implementation in Python", "Leverages the MCP standard for interoperability", "Keeps data local, supporting privacy" ], "cons": [ "Very limited adoption (14 stars)", "Minimal documentation and feature scope", "Only available for Python environments" ], "tags": [], "featured": false, "tier": "curated", "stars": 14, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/KVANTRA-dev/NOUZ-MCP", "relations": { "works_in": [ "continue", "cursor" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kvantra-dev-nouz-mcp" }, { "slug": "kuvopllc-purroxy2", "name": "KuvopLLC/purroxy2", "vendor": "Various", "tagline": "KuvopLLC/purroxy2 — indexed from awesome-mcp-servers-punkpeye", "description": "KuvopLLC/purroxy2 is an MCP server written in TypeScript. It provides proxy functionality for use in MCP-based workflows, though its specific features are minimally documented. The project has low community engagement, with only 1 star on GitHub.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers seeking a basic proxy MCP server for experimental or low-risk use", "useCases": [ "Route network requests through proxy servers in MCP environments", "Integrate proxy support into AI agent toolchains", "Experiment with proxy configurations for MCP-based applications" ], "pros": [ "Lightweight TypeScript implementation", "Listed in the curated awesome-mcp-servers collection" ], "cons": [ "Very limited documentation and usage examples", "Low GitHub stars indicate minimal adoption or testing", "Unclear maintenance status and roadmap" ], "tags": [ "ai", "anthropic", "automation", "browser-automation", "claude", "desktop-app", "electron", "mcp" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-05-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/KuvopLLC/purroxy2", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kuvopllc-purroxy2" }, { "slug": "kyrietangsheng-mcp-server-nationalparks", "name": "KyrieTangSheng/mcp-server-nationalparks", "vendor": "Various", "tagline": "📇 ☁️ - National Park Service API integration providing latest information of park details, alerts, visitor centers, campgrounds, and events for U.S. National Parks", "description": "An open-source MCP server that integrates the National Park Service API to provide real-time data on U.S. National Parks. It exposes tools to retrieve park details, alerts, visitor centers, campgrounds, and events. Built in TypeScript, it offers structured access to official NPS information for AI agents.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI travel assistants or trip planning tools for U.S. national parks", "useCases": [ "Query park alerts and conditions for trip planning", "Retrieve visitor center hours and campground availability", "Get event schedules and park details for travel recommendations" ], "pros": [ "Direct access to official NPS data without scraping", "Real-time updates on alerts and conditions", "Open source with TypeScript type safety" ], "cons": [ "Requires a free NPS API key to use", "Limited to U.S. National Parks only", "Depends on external API availability and rate limits" ], "tags": [], "featured": false, "tier": "curated", "stars": 39, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-06-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/KyrieTangSheng/mcp-server-nationalparks", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kyrietangsheng-mcp-server-nationalparks" }, { "slug": "kw510-strava-mcp", "name": "kw510/strava-mcp", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server with Strava OAuth integration, built on Cloudflare Workers. Enables secure authentication and tool access for MCP clients like Claude and Curs", "description": "A Model Context Protocol (MCP) server that integrates Strava OAuth, deployed on Cloudflare Workers. It provides secure authentication and tool access for MCP clients such as Claude and Cursor via Strava login.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to connect Strava user accounts to MCP-based AI tools", "useCases": [ "Authenticate AI assistants with Strava user accounts", "Enable Strava data queries through MCP-compatible chat interfaces", "Build custom Strava-integrated developer tools using Cloudflare Workers" ], "pros": [ "Leverages Cloudflare Workers for low-latency, serverless deployment", "Uses standard OAuth flow for secure Strava authentication", "Works with popular MCP clients like Claude and Cursor" ], "cons": [ "Limited to Strava OAuth; no support for other authentication providers", "Requires a Cloudflare Workers account and deployment setup", "Small community (26 stars) may mean less documentation or support" ], "tags": [ "authentication", "cloudflare-workers", "mcp", "model-context-protocol", "oauth", "strava" ], "featured": false, "tier": "curated", "stars": 26, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-04-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/kw510/strava-mcp", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kw510-strava-mcp" }, { "slug": "kyurish-fiverr-mcp-server", "name": "KyuRish/fiverr-mcp-server", "vendor": "Various", "tagline": "MCP server for searching Fiverr gigs, sellers, and reviews", "description": "An MCP server that enables searching Fiverr gigs, sellers, and reviews via the Model Context Protocol. It exposes Fiverr search functionality as a tool for AI assistants or other MCP-compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need to search Fiverr services", "useCases": [ "Integrate Fiverr gig search into an AI assistant workflow", "Find freelancers or services programmatically from a chat interface", "Retrieve seller reviews and gig details for automated research" ], "pros": [ "Open source and written in Python, easy to inspect or extend", "Provides a standardized MCP interface for Fiverr search", "Lightweight and focused on a single task" ], "cons": [ "Low star count suggests limited community adoption or testing", "May rely on unofficial scraping or fragile API access", "No documented error handling or rate limiting details" ], "tags": [ "ai-tools", "fiverr", "freelance", "mcp", "mcp-server", "scraper" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-02-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/KyuRish/fiverr-mcp-server", "relations": { "works_in": [ "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kyurish-fiverr-mcp-server" }, { "slug": "kyurish-mcp-dashboards", "name": "KyuRish/mcp-dashboards", "vendor": "Various", "tagline": "Turn your data into interactive dashboards inside any AI client - MCP Apps powered", "description": "KyuRish/mcp-dashboards is a TypeScript MCP server that generates interactive dashboards from data within any MCP-compatible AI client. It processes data inputs and renders them as visual charts or tables directly in the client interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to embed data dashboards directly inside MCP-compatible AI assistants", "useCases": [ "Embed live data visualizations in AI chat sessions", "Build quick dashboards from CSV or API data without leaving the client", "Monitor metrics or logs through interactive charts inside an MCP host" ], "pros": [ "Works with any MCP-compatible AI client for broad integration", "Lightweight TypeScript implementation with low overhead", "Enables real-time data exploration within conversational workflows" ], "cons": [ "Limited to MCP ecosystem, not standalone or web-based", "Small community (29 stars) with minimal documentation or examples", "Dependent on client support for interactive rendering features" ], "tags": [ "ai", "charting", "chartjs", "charts", "claude", "dashboard", "data-visualization", "export" ], "featured": false, "tier": "curated", "stars": 29, "language": [ "TypeScript" ], "lastUpdated": "2026-05-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/KyuRish/mcp-dashboards", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "antv-mcp-server-chart", "mckinsey-vizro-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kyurish-mcp-dashboards" }, { "slug": "kyurish-trading212-mcp-server", "name": "KyuRish/trading212-mcp-server", "vendor": "Various", "tagline": "MCP server for Trading 212 - portfolio analytics, order management, pies, dividends. Works with Claude, ChatGPT, Cursor, Windsurf.", "description": "An MCP server that connects Trading 212 to AI assistants for portfolio analytics, order management, pie management, and dividend tracking. It works with Claude, ChatGPT, Cursor, and Windsurf via the Model Context Protocol. The server is written in Python and is open source.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who write tools to automate Trading 212 interactions through AI assistants", "useCases": [ "Query portfolio performance and composition through an AI chat interface", "Place and manage trading orders directly from an AI assistant", "Automate pie investment allocation and monitor dividend payments" ], "pros": [ "Integrates with multiple popular AI platforms (Claude, ChatGPT, Cursor, Windsurf)", "Covers a broad set of Trading 212 features (orders, pies, dividends, analytics)", "Open source Python codebase allows for customization and extension" ], "cons": [ "No stars or community validation suggests it may be new or unproven", "Requires self-hosting the MCP server and managing its infrastructure", "Limited to Trading 212 only; not useful for other brokers" ], "tags": [ "ai-tools", "broker-api", "claude", "dividends", "investment", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/KyuRish/trading212-mcp-server", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kyurish-trading212-mcp-server" }, { "slug": "l33tdawg-sage", "name": "l33tdawg/sage", "vendor": "Various", "tagline": "(S)AGE - (Sovereign) Agent Governed Experience", "description": "A Go-based framework for building sovereign autonomous agents with governed experiences. It provides tools to define agent behavior and enforce governance rules within agent interactions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring sovereign agent architectures in Go", "useCases": [ "Building autonomous agents with self-governance capabilities", "Implementing rule-based agent behavior in Go applications", "Prototyping sovereign agent systems for decentralized environments" ], "pros": [ "Written in Go for performance and concurrency", "Open source with a growing community (228 stars)", "Focuses on agent sovereignty and governance" ], "cons": [ "Limited documentation and examples available", "Niche use case may not suit general agent development", "Relatively small ecosystem compared to established agent frameworks" ], "tags": [ "agentic-ai", "artificial-intelligence", "bft-consensus", "bft-network", "distributed-systems", "governance" ], "featured": false, "tier": "curated", "stars": 228, "language": [ "Go" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/l33tdawg/sage", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "fastmcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/l33tdawg-sage" }, { "slug": "kzino-vorim-mcp-server", "name": "Kzino/vorim-mcp-server", "vendor": "Various", "tagline": "MCP server for Vorim AI — AI agent identity, permissions, and audit trails. 17 tools for Claude, Cursor, VS Code, and any MCP-compatible client.", "description": "MCP server for Vorim AI that manages AI agent identity, permissions, and audit trails. It exposes 17 tools compatible with Claude, Cursor, VS Code, and any MCP client. Built in JavaScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring MCP-based identity and audit for AI agents in experimental or self-hosted setups", "useCases": [ "Assigning and verifying AI agent identities", "Enforcing permission policies for agent actions", "Logging and reviewing agent audit trails" ], "pros": [ "Provides 17 tools covering identity, permissions, and audit in a single server", "Works with multiple MCP-compatible clients without custom integration", "Open source JavaScript implementation easy to fork or extend" ], "cons": [ "Very low community traction (1 star) suggests minimal testing or support", "No documented usage examples or API references beyond the repository", "Project may be abandoned or poorly maintained" ], "tags": [ "agent-identity", "ai-agents", "claude", "cursor", "mcp", "mcp-server", "vorim" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/Kzino/vorim-mcp-server", "relations": { "works_in": [ "cursor", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kzino-vorim-mcp-server" }, { "slug": "labeveryday-nba-mcp-server", "name": "labeveryday/nba_mcp_server", "vendor": "Various", "tagline": "NBA MCP server to get nba stats and data", "description": "A Python-based MCP (Model Context Protocol) server that provides access to NBA statistics and data. Developers can integrate it with MCP-compatible AI agents to query player stats, team information, and game results.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a lightweight MCP server to expose NBA data for AI agent integrations", "useCases": [ "Integrating into AI agents for natural language queries about NBA standings and player performance", "Building chat interfaces that retrieve real-time NBA data on demand", "Combining with other MCP tools in multi-agent workflows for sports analytics" ], "pros": [ "Follows the MCP standard, making it compatible with many AI frameworks", "Written in Python, a widely used language with easy setup and extension", "Open source with a permissive license (MIT) allowing modification" ], "cons": [ "Low star count (8) suggests limited community support and updates", "Depends on external NBA data sources that could change or impose rate limits", "No documentation or usage examples provided beyond the repository name" ], "tags": [ "agents", "mcp", "mcp-server", "nba", "nbastats" ], "featured": false, "tier": "curated", "stars": 8, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/labeveryday/nba_mcp_server", "relations": { "works_in": [ "cline", "continue", "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/labeveryday-nba-mcp-server" }, { "slug": "labs64-netlicensing-mcp", "name": "Labs64/NetLicensing-MCP", "vendor": "Various", "tagline": "The official NetLicensing MCP Server is a natural language interface that enables agentic applications to manage the full software licensing lifecycle in Labs64 NetLicensing 👉🏼 w", "description": "Labs64/NetLicensing-MCP is an MCP server that provides a natural language interface to Labs64 NetLicensing, allowing agentic applications to manage the full software licensing lifecycle without writing API calls. It translates natural language requests into NetLicensing API operations, enabling license creation, validation, and management through conversational or agent-driven workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building agentic applications that need to manage software licensing through Labs64 NetLicensing without writing API calls", "useCases": [ "Create and configure software licenses via natural language commands", "Validate and manage license entitlements in agentic workflows", "Automate license lifecycle tasks without manual API integration" ], "pros": [ "Eliminates the need to write or maintain NetLicensing API code", "Enables agentic applications to handle licensing tasks conversationally", "Built on the MCP standard for easy integration with compatible agents" ], "cons": [ "Limited to Labs64 NetLicensing platform, not a general licensing solution", "Very low community adoption (1 star) suggests early or niche usage", "Natural language interface may introduce ambiguity for complex licensing logic" ], "tags": [ "laas", "labs64", "licensing-as-a-service", "llm", "mcp", "mcp-server", "netlicensing" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-04-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/Labs64/NetLicensing-MCP", "relations": { "works_in": [ "cline", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/labs64-netlicensing-mcp" }, { "slug": "ladislavsopko-mcp-ai-server-visual-studio", "name": "LadislavSopko/mcp-ai-server-visual-studio", "vendor": "Various", "tagline": "MCP AI Server - Roslyn-powered MCP server for Visual Studio. 20 tools for AI assistants.", "description": "A Roslyn-powered MCP server that integrates with Visual Studio, providing 20 tools for AI assistants. It enables code analysis and manipulation through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Visual Studio developers building AI-assisted coding tools", "useCases": [ "Integrate AI code analysis into Visual Studio workflows", "Expose Roslyn-based refactoring tools to AI assistants", "Automate code generation and diagnostics via MCP endpoints" ], "pros": [ "Leverages Roslyn for deep code understanding", "Offers 20 ready-to-use tools for common tasks", "Direct integration with Visual Studio" ], "cons": [ "Limited to Visual Studio environment", "Small community with only 29 stars", "May require familiarity with MCP protocol" ], "tags": [], "featured": false, "tier": "curated", "stars": 29, "language": [ "HTML" ], "lastUpdated": "2026-03-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/LadislavSopko/mcp-ai-server-visual-studio", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ladislavsopko-mcp-ai-server-visual-studio" }, { "slug": "lambopoewert-mcp-server-madeonsol", "name": "LamboPoewert/mcp-server-madeonsol", "vendor": "Various", "tagline": "MCP server for MadeOnSol Solana KOL intelligence — use from Claude, Cursor, or any MCP client", "description": "This MCP server provides Solana KOL (Key Opinion Leader) intelligence from MadeOnSol. It can be used from MCP clients such as Claude or Cursor to access influencer data on the Solana blockchain.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need Solana KOL intelligence accessible from MCP-compatible tools", "useCases": [ "Query Solana KOL metrics from an AI assistant", "Integrate influencer intelligence into a Cursor workflow", "Automate Solana KOL data retrieval via any MCP client" ], "pros": [ "Works with multiple MCP clients (Claude, Cursor, etc.)", "Provides specialized Solana KOL data from MadeOnSol", "JavaScript-based, easy to run in Node environments" ], "cons": [ "Zero GitHub stars indicates limited community validation", "Depends on MadeOnSol's external API or data source", "No documentation or usage examples provided in the repository" ], "tags": [ "ai-agent", "claude", "crypto-api", "cursor", "kol", "mcp", "mcp-server", "solana" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/LamboPoewert/mcp-server-madeonsol", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/lambopoewert-mcp-server-madeonsol" }, { "slug": "lamemind-mcp-server-multiverse", "name": "lamemind/mcp-server-multiverse", "vendor": "Various", "tagline": "A middleware server that enables multiple isolated instances of the same MCP servers to coexist independently with unique namespaces and configurations.", "description": "A middleware server that enables multiple isolated instances of the same MCP servers to coexist independently with unique namespaces and configurations. It acts as a lightweight layer, allowing developers to run parallel instances without conflicts. Built in TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to run multiple concurrent MCP server instances in isolated environments.", "useCases": [ "Running multiple independent MCP server instances for different projects", "Isolating configurations and namespaces for testing or staging", "Avoiding resource conflicts when using the same MCP server type in multiple contexts" ], "pros": [ "Enables clean separation of server instances without modifying underlying servers", "Simple namespace-based isolation reduces configuration complexity", "Open source with TypeScript for easy integration" ], "cons": [ "Limited to the MCP protocol ecosystem", "Requires understanding of the multiverse architecture to configure properly", "Small community (77 stars) may mean fewer resources or updates" ], "tags": [], "featured": false, "tier": "curated", "stars": 77, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/lamemind/mcp-server-multiverse", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/lamemind-mcp-server-multiverse" }, { "slug": "langfuse-mcp-server-langfuse", "name": "langfuse/mcp-server-langfuse", "vendor": "Various", "tagline": "Model Context Protocol (MCP) Server for Langfuse Prompt Management. This server allows you to access and manage your Langfuse prompts through the Model Context Protocol.", "description": "A Model Context Protocol (MCP) server that enables access and management of Langfuse prompts through the MCP interface. It connects Langfuse's prompt management features to MCP-compatible clients, allowing programmatic interaction with prompts.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers already using Langfuse who need MCP-based prompt management and automation", "useCases": [ "Manage Langfuse prompts from MCP-compatible tools", "Integrate prompt versioning and deployment into automated workflows", "Access prompt content and metadata through standard MCP requests" ], "pros": [ "Provides a standardized MCP interface for Langfuse prompt operations", "Leverages existing Langfuse infrastructure for prompt versioning and tracking", "Open source TypeScript implementation with active community (167 stars)" ], "cons": [ "Tied to the Langfuse platform (no alternative prompt backends)", "Requires running a dedicated MCP server, adding operational overhead", "Adoption limited to environments that support the Model Context Protocol" ], "tags": [ "langfuse", "llm", "llmops", "mcp", "model-context-protocol", "prompt-management", "prompting" ], "featured": false, "tier": "curated", "stars": 167, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-02-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/langfuse/mcp-server-langfuse", "relations": { "works_in": [ "cursor", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/langfuse-mcp-server-langfuse" }, { "slug": "lanchuske-local-mcp", "name": "lanchuske/local-mcp", "vendor": "Various", "tagline": "LMCP — Give your AI native access to your apps. 189 tools across macOS and Windows. Mail, Calendar, Teams, OneDrive, Outlook, Google Drive and more. 100% local.", "description": "lanchuske/local-mcp is an open-source Model Context Protocol server written in JavaScript that exposes 189 native tools for macOS and Windows. It allows AI agents to directly interact with applications and services such as Mail, Calendar, Teams, OneDrive, Outlook, and Google Drive, all operating 100% locally.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building local AI agents that need to control desktop apps and cloud services", "useCases": [ "Automate email triage and drafting via local AI", "Schedule and retrieve calendar events programmatically", "Read and upload files from cloud storage or local drives" ], "pros": [ "100% local execution preserves privacy and offline capability", "Covers a wide range of popular productivity tools and services", "Supports both macOS and Windows platforms" ], "cons": [ "Small community (14 stars) suggests limited support and testing", "May require manual setup and configuration for each tool", "Documentation and stability may be sparse due to early stage" ], "tags": [ "ai-tools", "apple-silicon", "calendar", "claude", "cursor", "email", "gdpr", "local-first" ], "featured": false, "tier": "curated", "stars": 14, "language": [ "JavaScript" ], "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/lanchuske/local-mcp-releases", "relations": { "works_in": [ "claude-code", "cline", "cursor", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/lanchuske-local-mcp" }, { "slug": "laradji-deadzone", "name": "laradji/deadzone", "vendor": "Various", "tagline": "laradji/deadzone — indexed from awesome-mcp-servers-punkpeye", "description": "A Go-based MCP server that provides a deadzone detection tool for identifying unused or inactive code paths. It analyzes codebases to flag functions or modules that are no longer called or executed.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers cleaning up dead code in Go or multi-language projects", "useCases": [ "Identify dead code in legacy projects to reduce maintenance burden", "Clean up unused functions before refactoring or migrating code", "Audit codebases for potential deadzone removal in CI pipelines" ], "pros": [ "Lightweight and fast due to Go implementation", "Simple to integrate into existing development workflows", "Helps reduce codebase bloat and improve maintainability" ], "cons": [ "Limited community adoption with only 2 stars", "May produce false positives for dynamically called code", "No active maintenance or documentation beyond the repository" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "Go" ], "license": "Apache-2.0", "lastUpdated": "2026-05-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/laradji/deadzone", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/laradji-deadzone" }, { "slug": "larrywalkerdev-mcp-immostage", "name": "LarryWalkerDEV/mcp-immostage", "vendor": "Various", "tagline": "MCP Server for AI Virtual Staging — stage rooms, beautify floor plans, classify images, optimize property listings. Built by immostage.ai", "description": "An MCP server for AI virtual staging that stages rooms, beautifies floor plans, classifies images, and optimizes property listings. Built by immostage.ai and written in TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Real estate professionals and developers building property listing tools", "useCases": [ "Staging empty rooms for real estate listings", "Beautifying floor plan images for marketing", "Classifying property images to improve listing quality" ], "pros": [ "Integrates with the MCP ecosystem for tool orchestration", "Targets a specific real estate use case with multiple features", "Written in TypeScript for type safety and maintainability" ], "cons": [ "Low GitHub stars indicate limited community adoption or maturity", "Requires an MCP client to function, adding setup overhead", "Niche focus may not suit general image processing needs" ], "tags": [ "ai-staging", "immobilien", "mcp", "mcp-server", "proptech", "real-estate", "virtual-staging" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-02-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/LarryWalkerDEV/mcp-immostage", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/larrywalkerdev-mcp-immostage" }, { "slug": "last9-last9-mcp-server", "name": "last9/last9-mcp-server", "vendor": "Various", "tagline": "Last9 MCP Server", "description": "A Model Context Protocol server written in Go that connects AI agents to Last9's observability platform. It enables agents to query metrics, traces, and logs through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-powered observability workflows on Last9's platform", "useCases": [ "Querying infrastructure metrics and traces from AI assistants", "Automating incident response with natural language commands", "Integrating AI-driven monitoring into existing observability pipelines" ], "pros": [ "Lightweight Go implementation with minimal dependencies", "Open source and easy to self-host or extend", "Standard MCP interface works with many AI frameworks" ], "cons": [ "Small community (57 stars) with limited support and documentation", "Requires a Last9 account and platform access to function", "Narrow focus on Last9's ecosystem rather than generic observability" ], "tags": [ "ai", "ai-agents", "claude", "cursor", "mcp", "monitoring", "observability", "vibe-coding" ], "featured": false, "tier": "curated", "stars": 57, "language": [ "Go" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/last9/last9-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "netdata-netdata-netdata" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/last9-last9-mcp-server" }, { "slug": "latex-mcp-server", "name": "latex-mcp-server", "vendor": "Various", "tagline": "An MCP Server to compile latex, download/organize/read cited papers, run visualization scripts and add figures/tables to latex.", "description": "An MCP server that compiles LaTeX documents. It can download and organize cited papers, run visualization scripts, and add figures and tables to LaTeX files.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Researchers or developers automating LaTeX document preparation", "useCases": [ "Compile LaTeX documents from an MCP client", "Download and organize cited papers automatically", "Integrate visualization scripts and add figures or tables" ], "pros": [ "Automates several LaTeX workflow steps", "Open source and written in Python, easy to extend", "Bridges LaTeX with the MCP ecosystem" ], "cons": [ "Early stage with only 6 GitHub stars and limited community", "May lack robustness for complex or multi-file documents", "Requires an MCP client to function" ], "tags": [], "featured": false, "tier": "curated", "stars": 6, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-08-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/Yeok-c/latex-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/latex-mcp-server" }, { "slug": "laukikk-alpaca-mcp", "name": "laukikk/alpaca-mcp", "vendor": "Various", "tagline": "MCP for the Alpaca trading API to manage stock and crypto portfolios, place trades, and access market data", "description": "A Python-based MCP server that wraps the Alpaca trading API, enabling LLMs to manage stock and crypto portfolios, place trades, and retrieve market data. It exposes Alpaca endpoints as tool calls for automated trading workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need programmatic access to Alpaca trading functionality", "useCases": [ "Build a conversational agent that can check portfolio balances and recent trades", "Automate trade execution based on natural language instructions from a user", "Integrate real-time market data queries into an AI assistant for financial analysis" ], "pros": [ "Directly connects LLMs to a live brokerage API for hands-on trading automation", "Lightweight Python implementation with a clear MCP interface", "Supports both stocks and cryptocurrencies in a single tool" ], "cons": [ "Low community adoption (32 stars) may mean limited support and fewer examples", "Requires users to have an Alpaca account and API keys, adding setup friction", "No built-in risk management or trade validation beyond what Alpaca provides" ], "tags": [], "featured": false, "tier": "curated", "stars": 32, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-07-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/laukikk/alpaca-mcp", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/laukikk-alpaca-mcp" }, { "slug": "layervai-qurl-mcp", "name": "layervai/qurl-mcp", "vendor": "Various", "tagline": "MCP server for QURL - secure link management for AI agents", "description": "An MCP server that provides secure link management for AI agents using QURL. It allows agents to create, manage, and resolve short URLs with access controls. Built in TypeScript, it integrates with MCP-compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need secure, short-lived links", "useCases": [ "Generate short URLs for AI agent outputs", "Restrict link access with permissions", "Manage link lifecycle programmatically" ], "pros": [ "Simple integration with MCP ecosystem", "TypeScript codebase for type safety", "Adds security layer to agent-generated links" ], "cons": [ "Limited to QURL protocol only", "Small community with only 3 GitHub stars", "Requires MCP-compatible client to use" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/layervai/qurl-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/layervai-qurl-mcp" }, { "slug": "laundromatic-shopgraph", "name": "laundromatic/shopgraph", "vendor": "Various", "tagline": "The extraction API that shows its work. Product data extraction with per-field confidence scoring and extraction provenance. REST API + MCP server. 50 free calls/month.", "description": "A product data extraction API that returns per-field confidence scores and provenance for each extracted value. It provides both a REST API and an MCP server, with a free tier of 50 calls per month.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need transparent, auditable product data extraction with confidence metrics.", "useCases": [ "Extract structured product data from web pages or documents", "Validate extraction accuracy with confidence scoring per field", "Integrate extraction into MCP-compatible workflows" ], "pros": [ "Transparent results with per-field confidence and provenance", "Free tier (50 calls/month) allows low-risk evaluation", "Offers both REST API and MCP server for flexible integration" ], "cons": [ "Free tier limited to 50 calls per month for production use", "Narrowly focused on extraction, not a general-purpose tool", "Scalability or performance for high-volume tasks unknown" ], "tags": [ "agent-commerce", "ai-agents", "confidence-scoring", "ecommerce", "extraction-provenance", "mcp-server", "product-data", "schema-org" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/laundromatic/shopgraph", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb", "exa-labs-exa-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/laundromatic-shopgraph" }, { "slug": "lauriewired-ghidramcp", "name": "LaurieWired/GhidraMCP", "vendor": "Various", "tagline": "MCP Server for Ghidra", "description": "An MCP (Model Context Protocol) server that interfaces with Ghidra, the reverse engineering framework. It allows AI models to execute Ghidra scripts and automate analysis tasks through a standardized protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Security researchers and reverse engineers who use Ghidra and want to leverage AI agents for scripted analysis.", "useCases": [ "Automate reverse engineering workflows with LLM agents that interact with Ghidra.", "Execute Ghidra scripts and queries via natural language through an MCP client.", "Integrate Ghidra analysis into AI-powered debugging and vulnerability research pipelines." ], "pros": [ "Enables AI-assisted automation directly within Ghidra's environment.", "Open source with strong community adoption (9k+ stars on GitHub).", "Written in Java, integrates natively with Ghidra's plugin architecture." ], "cons": [ "Requires a running Ghidra instance and proper environment setup.", "Limited to users already familiar with Ghidra and the MCP ecosystem.", "Not a standalone tool; depends on an MCP client for interaction." ], "tags": [], "featured": false, "tier": "curated", "stars": 9080, "language": [ "Java" ], "license": "Apache-2.0", "lastUpdated": "2025-06-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/LaurieWired/GhidraMCP", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "mrexodia-ida-pro-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/lauriewired-ghidramcp" }, { "slug": "leadbrain-korean-data-mcp", "name": "leadbrain/korean-data-mcp", "vendor": "Various", "tagline": "🇰🇷 MCP server for Korean web data — Naver, Melon, Daangn, Bunjang, Musinsa via Apify", "description": "An MCP server that provides access to Korean web data from Naver, Melon, Daangn, Bunjang, and Musinsa. It uses Apify as the underlying scraping infrastructure and is written in Python.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based tools that need structured data from popular Korean web services.", "useCases": [ "Fetch product listings or search results from Naver Shopping", "Retrieve music chart data from Melon", "Extract listings from Korean second-hand marketplaces like Daangn and Bunjang" ], "pros": [ "Covers multiple major Korean platforms in one MCP server", "Leverages Apify for reliable web scraping", "Python-based, easy to integrate into existing MCP workflows" ], "cons": [ "Zero stars on GitHub suggests early-stage or unproven reliability", "Limited to the five platforms listed; no generic Korean web data support", "Depends on Apify, which may introduce cost or rate limits" ], "tags": [ "apify", "daangn", "fastmcp", "korea", "mcp", "mcp-server", "melon-chart", "naver" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/leadbrain/korean-data-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/leadbrain-korean-data-mcp" }, { "slug": "leehanchung-bing-search-mcp", "name": "leehanchung/bing-search-mcp", "vendor": "Various", "tagline": "MCP Server for Bing Search API", "description": "A Python-based MCP server that wraps the Bing Search API, enabling AI agents to perform web searches through the Model Context Protocol. It provides a standardized interface for querying Bing and returning results.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-compatible AI agents that need web search", "useCases": [ "Integrating web search into AI assistants", "Enabling real-time information retrieval for agents", "Adding Bing search capability to MCP-compatible tools" ], "pros": [ "Simple setup with standard MCP integration", "Leverages Bing's search index", "Open source with Python codebase" ], "cons": [ "Requires a Bing Search API key and subscription", "Limited to Bing's search capabilities and quotas", "Relatively small community (78 stars)" ], "tags": [ "claude", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 78, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-04-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/leehanchung/bing-search-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "exa-labs-exa-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/leehanchung-bing-search-mcp" }, { "slug": "leap-laboratories-discovery-engine", "name": "leap-laboratories/discovery-engine", "vendor": "Various", "tagline": "Discovery Engine — find novel, statistically validated patterns in tabular data", "description": "Discovery Engine is a Python library that identifies novel, statistically validated patterns in tabular data. It applies statistical tests to filter out noise and surface meaningful relationships.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Data scientists and researchers who need a lightweight tool for statistically validated pattern mining in tabular datasets.", "useCases": [ "Exploring hidden correlations in structured datasets", "Validating candidate patterns with statistical rigor", "Automating pattern discovery in research or analytics pipelines" ], "pros": [ "Open source and written in Python for easy integration", "Focuses on statistical validation to reduce false positives", "Lightweight with no external dependencies beyond standard data science libraries" ], "cons": [ "Very low community adoption (6 stars) suggests limited testing and support", "Documentation and examples may be sparse", "Narrowly scoped to tabular data pattern discovery" ], "tags": [], "featured": false, "tier": "curated", "stars": 6, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/leap-laboratories/discovery-engine", "relations": { "works_in": [], "uses": [ "scikit-learn" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/leap-laboratories-discovery-engine" }, { "slug": "leekangbum-networklytics-mcp", "name": "Leekangbum/networklytics-mcp", "vendor": "Various", "tagline": "Leekangbum/networklytics-mcp — indexed from awesome-mcp-servers-punkpeye", "description": "A Python MCP server for network analytics. It implements the Model Context Protocol to allow AI agents to query and interact with network data.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers prototyping AI agents that need basic network data access", "useCases": [ "Monitoring network traffic patterns", "Integrating network analytics into AI workflows", "Querying network performance metrics through MCP" ], "pros": [ "Lightweight Python implementation", "Conforms to MCP standard for tool interoperability" ], "cons": [ "No community adoption or stars yet", "Limited documentation and examples", "Unclear stability and feature scope" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "lastUpdated": "2026-05-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/Leekangbum/networklytics-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/leekangbum-networklytics-mcp" }, { "slug": "leesgit-claude-session-continuity-mcp", "name": "leesgit/claude-session-continuity-mcp", "vendor": "Various", "tagline": "leesgit/claude-session-continuity-mcp — indexed from awesome-mcp-servers-punkpeye", "description": "An MCP server that provides session continuity for Claude, allowing context to persist across interactions. Built in JavaScript, it is listed in the awesome-mcp-servers collection.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with session persistence for Claude in small projects or prototypes", "useCases": [ "Maintain conversation history across multiple Claude sessions", "Resume interrupted workflows without losing context", "Integrate session persistence into Claude-based developer tools" ], "pros": [ "Lightweight JavaScript implementation", "Open source with a permissive license", "Solves a common pain point for Claude users" ], "cons": [ "Very few stars (1) indicating minimal adoption or testing", "Limited documentation and community support", "May lack robustness for production use" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/leesgit/claude-session-continuity-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "vectorize-io-hindsight", "upstash-context7" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/leesgit-claude-session-continuity-mcp" }, { "slug": "leonardoca1-aesthetics-wiki-mcp", "name": "leonardoca1/aesthetics-wiki-mcp", "vendor": "Various", "tagline": "MCP server for the Aesthetics Wiki (aesthetics.fandom.com) — search, read, and discover aesthetics from your LLM.", "description": "Leonardoca1/aesthetics-wiki-mcp is an MCP server that connects LLMs to the Aesthetics Wiki (aesthetics.fandom.com), enabling search, reading, and discovery of aesthetic concepts. It is written in Python and has 3 stars on GitHub.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building LLM applications that need access to aesthetic definitions and cultural movements.", "useCases": [ "Search aesthetics by keyword or category", "Read full article content from the wiki", "Discover new aesthetic concepts via LLM integration" ], "pros": [ "Simple setup and integration with MCP-compatible LLMs", "Open source and freely available", "Leverages a large community-maintained wiki" ], "cons": [ "Limited to the Aesthetics Wiki content only", "Wiki quality and coverage may vary", "Narrow niche with few real-world use cases" ], "tags": [ "aesthetics", "claude", "fandom", "llm-tools", "mcp", "mediawiki", "model-context-protocol", "python" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/leonardoca1/aesthetics-wiki-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/leonardoca1-aesthetics-wiki-mcp" }, { "slug": "leonting1010-tap", "name": "LeonTing1010/tap", "vendor": "Various", "tagline": "Local-first browser automation MCP for Claude Code / Cursor. taprun compiles once with AI, your authenticated Chrome replays forever at zero LLM tokens. Credentials never leave you", "description": "A local-first browser automation tool that works as an MCP server for Claude Code and Cursor. It uses taprun to compile an automation script once with AI assistance, then replays the authenticated Chrome session indefinitely without consuming additional LLM tokens. Credentials stay on the user's machine.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude Code or Cursor who need simple, token-efficient browser automation", "useCases": [ "Automating repetitive browser workflows within Claude Code or Cursor", "Replaying authenticated browsing sessions with zero token cost after initial setup", "Running browser automation tasks locally without exposing credentials to external services" ], "pros": [ "Local-first design keeps credentials on your machine", "Zero LLM token consumption after the initial compilation", "Integrates directly with Claude Code and Cursor" ], "cons": [ "Limited to Chrome browser and only works with Claude Code or Cursor", "Low GitHub stars (8) suggest early-stage project with limited community", "Requires an initial AI-assisted compilation step" ], "tags": [ "ai-agent", "automation", "browser-automation", "browser-use", "chrome-extension", "claude", "claude-code", "cli" ], "featured": false, "tier": "curated", "stars": 8, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/LeonTing1010/tap", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "browsermcp-mcp", "agent-infra-mcp-server-browser", "executeautomation-playwright-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/leonting1010-tap" }, { "slug": "lfnovo-content-core", "name": "lfnovo/content-core", "vendor": "Various", "tagline": "Extract what matters from any media source", "description": "A Python library for extracting key information from various media sources. It processes content to identify and retrieve the most relevant parts based on unspecified criteria.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a simple content extraction tool for diverse media.", "useCases": [ "Extracting summaries from articles", "Parsing key data from multimedia files", "Filtering relevant content for analysis" ], "pros": [ "Lightweight Python library", "Supports multiple media types", "Open source with community backing" ], "cons": [ "Limited documentation may be available", "Extraction quality depends on source format", "Active development may cause instability" ], "tags": [], "featured": false, "tier": "curated", "stars": 152, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/lfnovo/content-core", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "microsoft-markitdown" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/lfnovo-content-core" }, { "slug": "leximo-ai-leximo-ai-call-assistant-mcp-server", "name": "Leximo-AI/leximo-ai-call-assistant-mcp-server", "vendor": "Various", "tagline": "An MCP (Model Context Protocol) server that lets you schedule AI phone calls and manage Leximo assignments directly from Claude Desktop or Claude Code — no app switching needed.", "description": "Leximo-AI/leximo-ai-call-assistant-mcp-server is an MCP server that allows users to schedule AI phone calls and manage Leximo assignments directly from Claude Desktop or Claude Code. It acts as a bridge, enabling these actions without switching to separate applications.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to trigger AI phone calls from their Claude workflow without leaving the interface", "useCases": [ "Schedule AI phone calls from within Claude Desktop or Claude Code.", "Manage Leximo assignments without leaving the development environment.", "Integrate call scheduling into automated workflows." ], "pros": [ "Reduces context switching by keeping call management inside Claude", "Leverages the MCP protocol for compatibility with Claude tools", "Straightforward server setup for developers familiar with JavaScript" ], "cons": [ "Very early-stage project with only 1 star and limited community", "Requires Leximo assignments to function, adding an external dependency", "Dependence on Claude Desktop or Claude Code limits use outside the Anthropic ecosystem" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-02-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/Leximo-AI/leximo-ai-call-assistant-mcp-server", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/leximo-ai-leximo-ai-call-assistant-mcp-server" }, { "slug": "lfrmonteiro99-memento-mcp", "name": "lfrmonteiro99/memento-mcp", "vendor": "Various", "tagline": "Persistent memory MCP server with typed memories, decay scoring, and token-aware context injection", "description": "Memento-MCP is a persistent memory server built on the Model Context Protocol. It stores typed memories with decay scoring to manage relevance over time, and injects context in a token-aware manner to respect LLM token limits. Written in TypeScript, it provides a structured way to give AI agents long-term recall across sessions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing persistent, token-aware memory for MCP-compatible AI agents", "useCases": [ "Give an AI assistant long-term memory of user preferences across conversations", "Manage context injection for multi-turn agent workflows within token constraints", "Store and retrieve structured memories with decay-based relevance scoring" ], "pros": [ "Typed memories enable structured, machine-parseable storage", "Decay scoring automatically deprioritizes stale information", "Token-aware injection helps avoid exceeding context limits" ], "cons": [ "Very low GitHub stars (1) indicate early-stage or unproven adoption", "May lack thorough documentation or community support", "Unclear long-term maintenance given single-digit star count" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/lfrmonteiro99/memento-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "cline", "cursor", "claude-code", "continue" ], "alternative_to": [ "upstash-context7", "vectorize-io-hindsight", "topoteretes-cognee" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/lfrmonteiro99-memento-mcp" }, { "slug": "lharries-whatsapp-mcp", "name": "lharries/whatsapp-mcp", "vendor": "Various", "tagline": "WhatsApp MCP server", "description": "An open-source MCP server written in Go that enables AI agents to send and receive WhatsApp messages programmatically. It implements the Model Context Protocol to bridge WhatsApp messaging with agent workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need real-time WhatsApp integration", "useCases": [ "Automating WhatsApp message sending and receiving from AI agents", "Building chatbots that interact with users via WhatsApp", "Integrating WhatsApp into custom automation pipelines" ], "pros": [ "Lightweight and performant Go implementation", "Highly popular with over 5,700 stars indicating community trust", "Open source with no vendor lock-in" ], "cons": [ "Requires managing a WhatsApp account and may violate terms of service", "Limited to the capabilities of the unofficial WhatsApp Web API it relies on", "Dependent on the broader MCP ecosystem which is still evolving" ], "tags": [ "ai", "mcp", "whatsapp", "whatsapp-api" ], "featured": false, "tier": "curated", "stars": 5715, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2025-07-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/lharries/whatsapp-mcp", "relations": { "works_in": [ "claude-code", "cline", "cursor", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/lharries-whatsapp-mcp" }, { "slug": "lightningfaucet-lightning-wallet-mcp", "name": "lightningfaucet/lightning-wallet-mcp", "vendor": "Various", "tagline": "MCP Server for Lightning Faucet - Give your AI agent a Bitcoin wallet", "description": "An MCP server that gives AI agents a Bitcoin Lightning wallet via a faucet. It handles basic wallet operations, letting agents send and receive payments on the Lightning Network.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers prototyping AI agents that need to send or receive small Bitcoin payments on a test network.", "useCases": [ "Enabling AI agents to pay for API calls or microtransactions over Lightning", "Testing Bitcoin micropayment interactions in agent workflows", "Adding a simple wallet backend to MCP-compatible agent frameworks" ], "pros": [ "Directly integrates Bitcoin Lightning payments into any MCP-based agent", "Simple setup using an existing faucet", "Written in JavaScript, easy to contribute to or fork" ], "cons": [ "Relies on a Lightning faucet (likely testnet-only)", "Low star count indicates limited adoption and untested production use", "Minimal documentation or community support" ], "tags": [ "ai-agent", "anthropic", "bitcoin", "claude", "cursor", "l402", "lightning", "lightning-network" ], "featured": false, "tier": "curated", "stars": 8, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/lightningfaucet/lightning-wallet-mcp", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/lightningfaucet-lightning-wallet-mcp" }, { "slug": "lightpanda-io-gomcp", "name": "lightpanda-io/gomcp", "vendor": "Various", "tagline": "Lightpanda MCP server written in Go", "description": "A Go implementation of a Model Context Protocol (MCP) server from the Lightpanda project. It provides a server that lets AI assistants access tools and data sources through the MCP standard.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want a lightweight Go-native MCP server for prototyping or custom AI tool integrations", "useCases": [ "Building custom MCP servers for AI assistants", "Exposing local tools and data to LLMs", "Integrating Go services with AI agent workflows" ], "pros": [ "Written in Go for efficient performance and low resource use", "Open source with permissive license", "Straightforward codebase for learning MCP internals" ], "cons": [ "Low star count suggests limited community adoption and testing", "Early stage with sparse documentation and examples", "May lack stable production-ready features" ], "tags": [], "featured": false, "tier": "curated", "stars": 65, "language": [ "Go" ], "license": "Apache-2.0", "lastUpdated": "2026-03-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/lightpanda-io/gomcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp", "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/lightpanda-io-gomcp" }, { "slug": "lihtness-gnomon-mcp", "name": "lihtness/gnomon-mcp", "vendor": "Various", "tagline": "lihtness/gnomon-mcp — indexed from awesome-mcp-servers-punkpeye", "description": "A Python-based MCP server implementation for gnomon, listed in the awesome-mcp-servers collection. Its specific functionality is not documented beyond the repository name.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers seeking a minimal Python MCP server example or experimenting with gnomon-related integrations", "useCases": [ "Integrating gnomon functionality into MCP-compatible clients", "Exploring MCP server patterns in Python", "Building custom MCP tools based on this reference" ], "pros": [ "Written in Python, accessible to a wide developer audience", "Listed in a curated MCP server directory for discoverability" ], "cons": [ "No stars or community adoption indicates limited validation", "Lacks documentation or description of actual capabilities", "Unknown stability or maintenance status" ], "tags": [ "agents", "agents-ai-agents-claude", "ai-agents", "anthropic", "calculator", "calendar", "claude", "date-math" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/lihtness/gnomon-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/lihtness-gnomon-mcp" }, { "slug": "likidodefi-riskstate-mcp", "name": "likidodefi/riskstate-mcp", "vendor": "Various", "tagline": "📇 ☁️ 🍎 🪟 🐧 - Deterministic risk governance for crypto trading agents. 5-level policy engine with position sizing, leverage limits, and trade blocking. BTC + ETH.", "description": "A deterministic risk governance tool for crypto trading agents. It enforces a 5-level policy engine that controls position sizing, leverage limits, and trade blocking for BTC and ETH. The tool integrates via the Model Context Protocol to apply predefined risk rules before any trade execution.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building automated crypto trading agents that need enforceable risk guardrails", "useCases": [ "Enforce position size and leverage caps for automated BTC/ETH trading agents", "Block trades that violate configurable risk thresholds in real time", "Audit trading agent behavior against a deterministic policy hierarchy" ], "pros": [ "Provides clear, deterministic risk rules without ambiguity", "Supports multiple policy levels for granular control", "Open source and integrates via standard MCP interface" ], "cons": [ "Limited to BTC and ETH only, no altcoin support", "Requires manual policy configuration and maintenance", "No built-in backtesting or simulation of policy impact" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/likidodefi/riskstate-mcp", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/likidodefi-riskstate-mcp" }, { "slug": "lincolnburrows2017-filesystem-mcp", "name": "LincolnBurrows2017/filesystem-mcp", "vendor": "Various", "tagline": "Model Context Protocol server for file system operations", "description": "This is a Python-based server that implements the Model Context Protocol for file system operations. It allows MCP-compatible AI assistants to read, write, and manage files and directories on the local machine.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers prototyping AI-driven file management tools", "useCases": [ "Reading and writing files programmatically via AI assistants", "Integrating file management into custom AI workflows", "Enabling AI agents to navigate and modify local directories" ], "pros": [ "Adheres to the Model Context Protocol standard for interoperability", "Written in Python for easy customization", "Provides straightforward file system operations via MCP" ], "cons": [ "No community traction (0 GitHub stars) indicating early stage", "May lack robust error handling or security features", "Dependency on a Python MCP framework may limit deployment options" ], "tags": [ "ai-tools", "claude", "filesystem", "mcp", "python" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/LincolnBurrows2017/filesystem-mcp", "relations": { "works_in": [ "cursor", "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "wonderwhy-er-desktopcommandermcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/lincolnburrows2017-filesystem-mcp" }, { "slug": "linear", "name": "Linear MCP Server", "vendor": "Linear", "tagline": "Official Linear MCP server — expose Linear's project and issue tracking APIs as MCP tools for issues, projects, cycles, teams, and comments.", "description": "Linear MCP Server is the official server published by Linear that exposes Linear's project and issue tracking APIs as structured MCP tools, giving agents direct read and write access to issues, projects, cycles, teams, and comments inside a Linear workspace. Agents can create, update, triage, and close issues; manage project and cycle state; post and retrieve comments; and search across the workspace — all without leaving the agent session or writing custom API wrappers. The server ships with both stdio and HTTP transports, making it suitable for local Claude Desktop and Cursor setups as well as remote multi-machine deployments. It pairs naturally with the GitHub MCP server to close the full issue-to-PR loop on Linear-led engineering teams, and works best with Claude Desktop, Claude Code, and Cursor as the agent host.", "category": "productivity", "pricingTier": "free", "deployEffort": "low", "bestFor": "Linear-first product and engineering teams that want agents to automate issue triage, project tracking, and cycle management across the full Linear workspace", "useCases": [ "Triage and assign incoming Linear issues from an agent that reads, labels, and comments automatically", "Generate weekly cycle summaries and status reports from live Linear data", "Create and update issues directly from a coding agent when a bug or task is identified", "Bridge GitHub PR activity back into the correct Linear issue to keep project state in sync", "Search across projects and teams to surface relevant prior work before starting a new task" ], "pros": [ "Official server — maintained by Linear and kept current with API changes", "Covers the full issue and cycle workflow end to end including comments and team management", "HTTP transport enables remote and multi-machine agent deployments", "Pairs cleanly with GitHub MCP for a complete issue-to-PR automation loop", "Free to use with a standard Linear API key; no extra billing layer" ], "cons": [ "API key permissions are workspace-wide by default — per-team scoping requires careful token discipline", "Docs and roadmap surfaces have limited tool coverage compared to issues and projects", "HTTP transport requires a running server process; stdio is simpler for local-only setups", "No built-in rate-limit handling for high-volume agent loops" ], "tags": [ "project-management", "issues", "engineering", "productivity", "linear", "mcp", "official", "cycles", "teams" ], "featured": false, "tier": "curated", "language": [], "addedAt": "2025-01-28", "officialLink": "https://linear.app/changelog/2025-05-01-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mcp-atlassian", "mcp-notion" ], "alternative_to": [ "mcp-atlassian", "mcp-notion" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/linear" }, { "slug": "linked-api-linkedapi-mcp", "name": "Linked-API/linkedapi-mcp", "vendor": "Various", "tagline": "MCP server that lets AI assistants control LinkedIn accounts and retrieve real-time data.", "description": "An MCP server that enables AI assistants to control LinkedIn accounts and retrieve real-time data. Built in TypeScript, it uses the Model Context Protocol to give LLMs programmatic access to LinkedIn's API for actions like posting updates or fetching profile information.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to automate LinkedIn interactions", "useCases": [ "Automating LinkedIn profile updates and content posting", "Retrieving real-time LinkedIn data such as connections or feed posts", "Integrating LinkedIn actions into AI agent workflows" ], "pros": [ "Open source with a clear MCP implementation", "TypeScript codebase for easy extension", "Community-driven with active development" ], "cons": [ "Requires LinkedIn account credentials and API access", "Subject to LinkedIn API rate limits and potential policy changes", "Not an official LinkedIn product, so reliability depends on API stability" ], "tags": [ "b2b-marketing", "growth-hacking", "linkedin", "linkedin-automation", "linkedin-data", "mcp", "mcp-server", "sales-automation" ], "featured": false, "tier": "curated", "stars": 54, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/Linked-API/linkedapi-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/linked-api-linkedapi-mcp" }, { "slug": "line-line-bot-mcp-server", "name": "line/line-bot-mcp-server", "vendor": "Various", "tagline": "MCP server that integrates the LINE Messaging API to connect an AI Agent to the LINE Official Account.", "description": "An MCP server that bridges the LINE Messaging API with AI agents. It allows an AI agent to send and receive messages through a LINE Official Account using the Model Context Protocol. Built in TypeScript and open source with 591 stars on GitHub.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that interact with LINE Official Accounts", "useCases": [ "Connect an AI agent to a LINE Official Account for automated customer support", "Enable an AI agent to send and receive LINE messages programmatically", "Build a LINE chatbot that leverages an external AI reasoning engine" ], "pros": [ "Direct integration with LINE's official Messaging API", "Uses the standardized Model Context Protocol for agent communication", "Open source and actively maintained with a TypeScript codebase" ], "cons": [ "Requires a LINE Official Account and API credentials to use", "Only works with AI agents that support the MCP protocol", "Limited to the messaging capabilities exposed by the LINE API" ], "tags": [ "line", "linebot", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 591, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/line/line-bot-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "lharries-whatsapp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/line-line-bot-mcp-server" }, { "slug": "linuxsuren-atest-mcp-server", "name": "linuxsuren/atest-mcp-server", "vendor": "Various", "tagline": "MCP Server of API Testing", "description": "A Model Context Protocol server for API testing. It enables AI assistants and MCP clients to execute API tests and manage test workflows. Built in Go.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based tools that need API testing capabilities", "useCases": [ "Run API tests via AI assistants", "Integrate API testing into MCP-compatible workflows", "Automate API validation with AI context" ], "pros": [ "Lightweight Go implementation", "Easy to integrate with MCP clients", "Open source" ], "cons": [ "Very early stage with only 6 stars", "Limited documentation", "Narrow scope (MCP-based API testing only)" ], "tags": [ "api-testing", "atest", "mcp-server" ], "featured": false, "tier": "curated", "stars": 6, "language": [ "Go" ], "lastUpdated": "2025-11-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/LinuxSuRen/atest-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/linuxsuren-atest-mcp-server" }, { "slug": "linw1995-nvim-mcp", "name": "linw1995/nvim-mcp", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server that provides seamless integration with Neovim instances, enabling AI assistants to interact with your editor through connections and access d", "description": "A Model Context Protocol (MCP) server written in Rust that enables AI assistants to connect to and interact with Neovim instances. It provides access to editor diagnostics through structured resources.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Neovim users who want to give AI assistants direct access to their editor state and diagnostics", "useCases": [ "Connect AI coding assistants directly to Neovim for context-aware suggestions", "Retrieve and analyze diagnostic information from Neovim via MCP resources", "Automate editor interactions from external AI tools through the MCP protocol" ], "pros": [ "Written in Rust for performance and reliability", "Tightly integrated with Neovim's architecture", "Open source with permissive licensing" ], "cons": [ "Small community with only 56 GitHub stars", "Limited to Neovim (no support for other editors)", "Early stage tool with potentially undocumented edge cases" ], "tags": [ "lsp", "mcp-server", "nvim", "nvim-plugin" ], "featured": false, "tier": "curated", "stars": 56, "language": [ "Rust" ], "license": "Apache-2.0", "lastUpdated": "2026-05-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/linw1995/nvim-mcp", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/linw1995-nvim-mcp" }, { "slug": "linxule-lotus-wisdom-mcp", "name": "linxule/lotus-wisdom-mcp", "vendor": "Various", "tagline": "Contemplative reasoning MCP server — Lotus Sutra wisdom framework with interactive ext-apps journey visualization.", "description": "A Model Context Protocol server that implements contemplative reasoning based on the Lotus Sutra. It provides interactive external applications for journey visualization. The tool is written in JavaScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring contemplative or philosophical AI interactions", "useCases": [ "Building AI assistants with contemplative reasoning frameworks", "Visualizing user journeys through interactive apps", "Integrating Buddhist wisdom into conversational agents" ], "pros": [ "Implements a structured philosophical framework for AI reasoning", "Supports interactive visualization of user journeys", "Lightweight MCP server in JavaScript" ], "cons": [ "Small user base (27 stars) may indicate limited community support", "Niche focus on Lotus Sutra may not suit most applications", "Requires familiarity with MCP and Buddhist concepts" ], "tags": [ "lotus-sutra", "mcp", "mcp-server", "modelcontextprotocol" ], "featured": false, "tier": "curated", "stars": 27, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/linxule/lotus-wisdom-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/linxule-lotus-wisdom-mcp" }, { "slug": "linxule-mineru-mcp", "name": "linxule/mineru-mcp", "vendor": "Various", "tagline": "📇 ☁️ - MCP server for MinerU document parsing API. Parse PDFs, images, DOCX, and PPTX with OCR (109 languages), batch processing (200 docs), page ranges, and local file upload. 73", "description": "An MCP server that wraps the MinerU document parsing API. It extracts text from PDFs, images, DOCX, and PPTX using OCR supporting 109 languages, with batch processing up to 200 documents, configurable page ranges, and local file upload.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a programmable OCR server with multi-format, multi-language support for AI document pipelines", "useCases": [ "Extracting text from scanned PDFs and images with OCR in multiple languages", "Batch processing up to 200 documents for large-scale text extraction", "Integrating document parsing into MCP-compatible AI workflows" ], "pros": [ "Supports 109 languages for broad OCR coverage", "Handles multiple document formats (PDF, image, DOCX, PPTX) in one tool", "Allows batch processing and page range selection for flexible extraction" ], "cons": [ "Depends on an external API (MinerU) which may have cost or rate limits", "Batch size capped at 200 documents, limiting very large jobs", "Only available as a JavaScript project, limiting language ecosystem choice" ], "tags": [], "featured": false, "tier": "curated", "stars": 5, "language": [ "JavaScript" ], "lastUpdated": "2026-05-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/linxule/mineru-mcp", "relations": { "works_in": [ "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "microsoft-markitdown" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/linxule-mineru-mcp" }, { "slug": "lionkiii-google-searchconsole-mcp", "name": "lionkiii/google-searchconsole-mcp", "vendor": "Various", "tagline": "MCP server for Google Search Console — query search analytics, inspect URLs, find keyword opportunities, track SEO performance. Works with Claude Desktop, Cursor, Windsurf.", "description": "This MCP server connects to Google Search Console, allowing users to query search analytics, inspect URL performance, and find keyword opportunities. It works with Claude Desktop, Cursor, and Windsurf. The server is written in JavaScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to incorporate Google Search Console data into MCP-compatible workflows", "useCases": [ "Query search analytics for keyword and traffic data", "Inspect individual URL performance in Google Search Console", "Identify keyword opportunities and track SEO metrics" ], "pros": [ "Direct integration with Google Search Console via MCP protocol", "Supports multiple popular MCP clients for flexibility", "Simple setup for developers familiar with JavaScript" ], "cons": [ "Requires Google API credentials and setup, adding initial overhead", "Low community traction with only 1 star on GitHub", "Limited documentation or support resources available" ], "tags": [ "ai", "claude", "claude-desktop", "cursor", "google-search-console", "keyword-research", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-03", "addedAt": "2026-06-01", "officialLink": "https://github.com/lionkiii/google-searchconsole-mcp", "relations": { "works_in": [ "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/lionkiii-google-searchconsole-mcp" }, { "slug": "liquidiction-liquidiction-mcp", "name": "Liquidiction/liquidiction-mcp", "vendor": "Various", "tagline": "MCP server for Hyperliquid HIP-4 prediction markets - query live odds, orderbooks, candles, trades, and positions from any AI agent", "description": "Liquidiction/liquidiction-mcp is an MCP server that exposes Hyperliquid HIP-4 prediction market data to AI agents. It enables querying live odds, orderbooks, candles, trades, and positions through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need live Hyperliquid prediction market data", "useCases": [ "Integrate prediction market odds into an AI trading bot", "Monitor orderbook depth and trade history from an agent", "Analyze candle data for market trend detection" ], "pros": [ "Provides real-time market data via a simple MCP protocol", "Written in TypeScript for type safety and easy integration", "Lightweight with minimal dependencies" ], "cons": [ "Limited to Hyperliquid HIP-4 prediction markets only", "Small community and few stars may indicate limited support", "Requires an MCP-compatible client to use" ], "tags": [], "featured": false, "tier": "curated", "stars": 5, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/Liquidiction/liquidiction-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/liquidiction-liquidiction-mcp" }, { "slug": "lionkiii-rss-feeds-mcp", "name": "lionkiii/rss-feeds-mcp", "vendor": "Various", "tagline": "MCP server for RSS feeds — fetch, filter, search blog posts from any RSS source. Works with Claude Desktop, Cursor, Windsurf. No API keys needed.", "description": "An MCP server that fetches, filters, and searches blog posts from any RSS feed source. It integrates with Claude Desktop, Cursor, and Windsurf without requiring API keys. Built in JavaScript, it provides a simple way to bring RSS content into AI-assisted workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to feed RSS data into AI assistants like Claude Desktop", "useCases": [ "Fetch latest posts from multiple RSS feeds", "Filter blog posts by keywords or date ranges", "Search across RSS sources for specific topics" ], "pros": [ "No API keys or external services needed", "Works with popular AI tools like Claude Desktop and Cursor", "Lightweight JavaScript implementation" ], "cons": [ "Low GitHub stars (3) suggest limited community adoption or maturity", "Only supports RSS feeds, not Atom or JSON Feed", "Relies on the evolving MCP protocol which may change" ], "tags": [ "ai", "blog", "claude", "claude-desktop", "content-marketing", "cursor", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-03", "addedAt": "2026-06-01", "officialLink": "https://github.com/lionkiii/rss-feeds-mcp", "relations": { "works_in": [ "cursor" ], "uses": [], "built_with": [], "pairs_with": [ "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/lionkiii-rss-feeds-mcp" }, { "slug": "liquidmetal-ai-raindrop-mcp", "name": "liquidmetal-ai/raindrop-mcp", "vendor": "Various", "tagline": "📇 ☁️ - The best way to deploy cloud infrastructure using Claude Code and MCP.", "description": "Raindrop MCP is a tool that enables deploying cloud infrastructure through Claude Code using the Model Context Protocol (MCP). It provides a set of MCP tools that Claude can invoke to create, manage, and provision cloud resources directly from natural language commands.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude Code who want to deploy and manage cloud infrastructure through natural language commands", "useCases": [ "Deploying cloud infrastructure from natural language prompts in Claude Code", "Managing cloud resources like servers, databases, and networks via MCP tools", "Automating infrastructure provisioning workflows with Claude Code and MCP" ], "pros": [ "Integrates directly with Claude Code for natural language infrastructure management", "Leverages the standardized MCP protocol for tool interoperability", "Simplifies cloud deployment by reducing manual CLI or console steps" ], "cons": [ "Requires Claude Code and MCP setup, adding initial configuration overhead", "Limited to cloud providers and resources supported by the MCP tools (not specified)", "Dependent on the reliability and latency of the MCP tool execution chain" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://docs.liquidmetal.ai/tutorials/claude-code-mcp-setup/", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/liquidmetal-ai-raindrop-mcp" }, { "slug": "lithtrix-lithtrix-mcp", "name": "lithtrix/lithtrix-mcp", "vendor": "Various", "tagline": "Memory Consolidation for AI agents across vendors, owners, and time. Persistent memory, credibility-scored web search, browser fetch, and a shared Commons pool — all under a stable", "description": "Memory consolidation for AI agents across vendors, owners, and time. Provides persistent memory, credibility-scored web search, browser fetch, and a shared Commons pool. Uses a stable ltx key that survives tool switches, session resets, and orchestrator changes.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building multi-agent systems that need persistent, cross-session memory", "useCases": [ "Persist agent memory across sessions and tool switches", "Search the web with credibility scoring for agent context", "Share a common memory pool among multiple agents" ], "pros": [ "Persistent memory that survives session resets and orchestrator changes", "Shared Commons pool enables multi-agent collaboration", "Credibility-scored web search reduces irrelevant results" ], "cons": [ "Zero stars on GitHub indicates very early stage with minimal community validation", "Requires Node.js runtime and npx setup", "Credibility scoring mechanism is not publicly documented" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "lastUpdated": "2026-05-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/lithtrix/lithtrix-mcp", "relations": { "works_in": [ "cursor", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "topoteretes-cognee", "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/lithtrix-lithtrix-mcp" }, { "slug": "lisamaraventano-spine-mcp-server", "name": "lisamaraventano-spine/mcp-server", "vendor": "Various", "tagline": "MCP server for Underground Cultural District — 23 tools, 218+ digital goods for AI agents. Free dev tools + paid catalog + Stripe checkout. npm: @underground-cultural-district/mcp-", "description": "This MCP server exposes 23 tools and 218+ digital goods for AI agents within the Underground Cultural District. It provides free development tools alongside a paid catalog with Stripe checkout. The npm package @underground-cultural-district/mcp-server enables straightforward integration.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that interact specifically with the Underground Cultural District's digital goods and services", "useCases": [ "Integrating AI agents with the Underground Cultural District's digital marketplace", "Purchasing digital goods via Stripe as part of agent workflows", "Leveraging a curated set of 23 tools for agent-driven content or transactions" ], "pros": [ "Offers both free and paid resources, giving flexibility for development and production", "Large catalog of 218+ digital goods for agents to interact with", "Stripe checkout simplifies monetization for the paid portion" ], "cons": [ "Zero GitHub stars indicate a very new or unproven project", "Narrow focus on the Underground Cultural District limits general applicability", "No evidence of community documentation or ongoing maintenance" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/lisamaraventano-spine/mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "exa-labs-exa-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/lisamaraventano-spine-mcp-server" }, { "slug": "littlebearapps-outlook-assistant", "name": "littlebearapps/outlook-assistant", "vendor": "Various", "tagline": "MCP server for Outlook email, calendar, and contacts — let your AI assistant manage your inbox directly from the conversation.", "description": "This MCP server connects AI assistants to Microsoft Outlook for email, calendar, and contacts. It works by exposing Outlook data through the Model Context Protocol, letting the assistant read and manage the inbox conversationally.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to give their AI assistant direct access to Microsoft Outlook", "useCases": [ "Reading and composing emails via an AI assistant", "Scheduling calendar events and checking availability", "Managing Outlook contacts through natural language commands" ], "pros": [ "Open source and free to use", "Simple setup for developers familiar with MCP", "Integrates with multiple MCP-compatible AI assistants" ], "cons": [ "Small community (19 stars) means limited support and documentation", "Requires self-hosting and configuration of authentication", "May not support all Outlook account types or advanced features" ], "tags": [ "ai", "ai-agents", "automation", "calendar", "claude", "claude-code", "contacts", "cursor" ], "featured": false, "tier": "curated", "stars": 19, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/littlebearapps/outlook-assistant", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/littlebearapps-outlook-assistant" }, { "slug": "liveblocks-liveblocks-mcp-server", "name": "liveblocks/liveblocks-mcp-server", "vendor": "Various", "tagline": "MCP server for Liveblocks.", "description": "An MCP server that connects AI agents to Liveblocks, enabling them to interact with real-time collaboration data. It uses the Model Context Protocol to expose Liveblocks APIs for reading and writing storage, presence, and other primitives.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers adding AI copilot functionality to applications using Liveblocks for real-time collaboration", "useCases": [ "Enable AI assistants to read and update Liveblocks storage in real-time apps", "Allow AI agents to manage user presence and broadcast events", "Build copilot features that automate Liveblocks room operations" ], "pros": [ "Open source and written in TypeScript, easy to integrate with Node.js projects", "Leverages the standard MCP protocol for interoperability with AI clients", "Directly targets Liveblocks, reducing boilerplate for agentic workflows" ], "cons": [ "Low star count suggests limited community adoption and testing", "Sparse documentation beyond the basic description", "Requires an MCP-compatible client, adding a dependency for AI integrations" ], "tags": [ "ai", "ai-agents", "ai-copilot", "collaboration", "commenting-system", "comments", "crdt", "liveblocks" ], "featured": false, "tier": "curated", "stars": 16, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-05-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/liveblocks/liveblocks-mcp-server", "relations": { "works_in": [ "claude-code", "cursor", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/liveblocks-liveblocks-mcp-server" }, { "slug": "live-direct-marketing-ldm-inbox-check-mcp", "name": "live-direct-marketing/ldm-inbox-check-mcp", "vendor": "Various", "tagline": "MCP server for email deliverability testing across 9 providers. Test inbox placement (Inbox vs Spam vs Promotions) with SPF/DKIM/DMARC verification. Works with Claude Desktop, Curs", "description": "An MCP server that tests email deliverability across 9 providers by checking inbox placement (Inbox, Spam, Promotions) and verifying SPF/DKIM/DMARC records. It integrates with Claude Desktop, Cursor, and Windsurf for automated email testing workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and email marketers needing automated deliverability testing across multiple providers", "useCases": [ "Verify email deliverability before sending marketing campaigns", "Debug SPF/DKIM/DMARC configuration issues", "Automate inbox placement testing in CI/CD pipelines" ], "pros": [ "Supports 9 major email providers for broad coverage", "Integrates directly with popular AI coding tools", "Provides clear placement categorization (Inbox/Spam/Promotions)" ], "cons": [ "No stars or community adoption yet", "Limited to JavaScript/Node.js environments", "Requires MCP-compatible client to use" ], "tags": [ "claude", "cold-email", "cursor", "deliverability", "email", "email-testing", "gmail-deliverability", "inbox-placement" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/live-direct-marketing/ldm-inbox-check-mcp", "relations": { "works_in": [ "cursor" ], "uses": [], "built_with": [], "pairs_with": [ "elie222-inbox-zero", "pipedreamhq-pipedream" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/live-direct-marketing-ldm-inbox-check-mcp" }, { "slug": "lmwharton-sieve-mcp", "name": "lmwharton/sieve-mcp", "vendor": "Various", "tagline": "From company name to investment decision. Sieve scores startups across 7 dimensions so you know who's worth a meeting.", "description": "Sieve-MCP takes a company name and returns a score across seven startup evaluation dimensions, helping investors decide which meetings are worth taking. It runs as a Python-based tool that automates the initial screening process.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Early‑stage investors and analysts needing fast, repeatable startup evaluations.", "useCases": [ "Quickly scoring a batch of startup names to prioritize leads", "Automating initial due diligence checks for early-stage investments", "Integrating startup assessment into a larger deal flow pipeline" ], "pros": [ "Provides a structured, multi‑dimension score from just a company name", "Saves time on manual research during early screening", "Simple input/output that fits into existing workflows" ], "cons": [ "Scoring depends on the freshness and breadth of underlying public data", "May miss qualitative or off‑record signals that a human would catch", "Limited to the seven predefined dimensions without customization" ], "tags": [ "ai", "ai-analyst", "angel-investing", "claude", "cursor", "deal-flow", "deal-scoring", "due-diligence" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/lmwharton/sieve-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "exa-labs-exa-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/lmwharton-sieve-mcp" }, { "slug": "lnbits-lnbits-mcp-server", "name": "lnbits/LNbits-MCP-Server", "vendor": "Various", "tagline": "An MCP server for LNbits", "description": "An MCP server that exposes LNbits functionality through the Model Context Protocol, enabling AI agents to interact with Lightning Network wallets and extensions. It translates MCP requests into LNbits API calls, allowing tools like Claude to manage invoices, check balances, and trigger payments.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need Lightning Network payment capabilities via LNbits", "useCases": [ "Let an AI assistant create and check Lightning invoices on demand", "Automate wallet balance monitoring and payment triggers via chat", "Integrate LNbits extensions into agent workflows for micropayments" ], "pros": [ "Tiny codebase (5 stars) focused on a single, clear integration pattern", "Leverages LNbits' modular extension system for flexible Lightning operations", "Python-based, easy to extend or embed in existing MCP setups" ], "cons": [ "Requires a running LNbits instance with API access, adding deployment overhead", "Limited to LNbits-specific features, not a general Lightning node interface", "Very early stage with minimal documentation and community support" ], "tags": [], "featured": false, "tier": "curated", "stars": 5, "language": [ "Python" ], "lastUpdated": "2026-03-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/lnbits/LNbits-MCP-Server", "relations": { "works_in": [ "anthropic-computer-use" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/lnbits-lnbits-mcp-server" }, { "slug": "localseodata-mcp-server", "name": "localseodata/mcp-server", "vendor": "Various", "tagline": "MCP server for Local SEO Data. Gives AI assistants access to 42 local SEO tools.", "description": "localseodata/mcp-server is an open-source Model Context Protocol server written in TypeScript. It provides AI assistants with access to 42 local SEO tools for data retrieval and analysis. The server enables developers to integrate local SEO capabilities into AI-driven workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need direct access to local SEO data", "useCases": [ "Integrating local SEO data into a chatbot or AI agent", "Automating local search rank tracking and competitor analysis", "Building custom AI tools that query local business listings and reviews" ], "pros": [ "Provides a broad set of 42 local SEO tools in one server", "Open-source and extensible for custom use", "Written in TypeScript for type safety and easy integration" ], "cons": [ "No stars indicate low community adoption or newness", "Requires an MCP-compatible AI application to function", "Limited documentation or examples due to project age" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/localseodata/mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/localseodata-mcp-server" }, { "slug": "localstack-localstack-mcp-server", "name": "localstack/localstack-mcp-server", "vendor": "Various", "tagline": "MCP Server for LocalStack", "description": "An MCP server that exposes LocalStack's AWS emulation as tools for AI assistants. It allows AI agents to interact with local AWS services via the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want AI assistants to directly control a local AWS emulator for testing or prototyping.", "useCases": [ "Letting an AI assistant create and manage local S3 buckets or DynamoDB tables during development.", "Automating infrastructure testing by having an AI spin up local AWS resources on demand.", "Integrating AI-driven workflows with a local cloud sandbox for rapid prototyping." ], "pros": [ "Enables direct AI interaction with LocalStack without custom glue code.", "Leverages the MCP standard, making it compatible with multiple AI frontends.", "Lightweight and focused on a single, well-defined integration." ], "cons": [ "Low community adoption (23 stars) may mean limited testing and support.", "Requires LocalStack to be running and configured separately.", "TypeScript-only, which may not fit all toolchain preferences." ], "tags": [], "featured": false, "tier": "curated", "stars": 23, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/localstack/localstack-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "awslabs-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/localstack-localstack-mcp-server" }, { "slug": "lodordev-mcp-tautulli", "name": "lodordev/mcp-tautulli", "vendor": "Various", "tagline": "MCP server for Tautulli — Plex monitoring via Claude Code", "description": "An MCP server that connects Claude Code to Tautulli, enabling Plex monitoring through natural language commands. It uses the Tautulli API to retrieve server statistics, active streams, and library data.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude Code who need to monitor a Plex server through Tautulli", "useCases": [ "Query current Plex stream counts and bandwidth usage", "Check library sizes and recently added media", "Monitor user activity and playback history" ], "pros": [ "Lightweight Python implementation with minimal dependencies", "Enables natural language queries to Tautulli via Claude Code", "Leverages existing Tautulli API for reliable data access" ], "cons": [ "Very early stage with only 2 GitHub stars and limited community adoption", "Requires a running Tautulli instance and API key", "Documentation and error handling may be sparse" ], "tags": [ "claude-code", "mcp", "mcp-server", "plex", "plex-monitoring", "tautulli" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/lodordev/mcp-tautulli", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/lodordev-mcp-tautulli" }, { "slug": "lodordev-mcp-romm", "name": "lodordev/mcp-romm", "vendor": "Various", "tagline": "MCP server for RomM — browse and manage your retro game library with AI", "description": "An MCP server for RomM that lets you browse and manage your retro game library via the Model Context Protocol. It enables AI assistants to interact with your RomM collection.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to manage their retro game library through AI assistants like Claude.", "useCases": [ "Browsing your retro game collection through a conversational AI assistant.", "Searching for specific games in your RomM library using natural language.", "Retrieving game metadata and details from your library." ], "pros": [ "Integrates with AI assistants through the standard MCP protocol.", "Open-source Python project, easy to modify or extend.", "Provides a natural language interface to manage RomM libraries." ], "cons": [ "Requires a running RomM server to function.", "Limited by the features exposed via the MCP protocol.", "Small community (4 stars) indicating early-stage project." ], "tags": [], "featured": false, "tier": "curated", "stars": 4, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/lodordev/mcp-romm", "relations": { "works_in": [ "continue", "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/lodordev-mcp-romm" }, { "slug": "lodordev-mcp-teslamate-fleet", "name": "lodordev/mcp-teslamate-fleet", "vendor": "Various", "tagline": "MCP server for TeslaMate analytics + Fleet API commands via Claude Code", "description": "An MCP server that connects TeslaMate analytics with Fleet API commands for use in Claude Code. It allows developers to query vehicle data and execute fleet operations through a standardized protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to control and monitor Tesla vehicles via Claude Code using TeslaMate data", "useCases": [ "Query Tesla vehicle status and analytics from TeslaMate", "Send Fleet API commands like lock, unlock, or climate control", "Integrate Tesla data into Claude Code workflows" ], "pros": [ "Combines TeslaMate analytics with Fleet API in one tool", "Works directly with Claude Code for natural language control", "Open source and written in Python" ], "cons": [ "Requires a running TeslaMate instance and Fleet API access", "No stars or community adoption yet", "Limited to Tesla vehicles and Claude Code environment" ], "tags": [ "claude-code", "ev", "fleet-api", "mcp", "mcp-server", "tesla", "teslamate" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/lodordev/mcp-teslamate-fleet", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/lodordev-mcp-teslamate-fleet" }, { "slug": "lofder-dsers-mcp-product", "name": "lofder/dsers-mcp-product", "vendor": "Various", "tagline": "lofder/dsers-mcp-product — indexed from awesome-mcp-servers-punkpeye", "description": "An MCP server that exposes DSers product data to AI agents. It enables querying and managing products within the DSers dropshipping platform through the Model Context Protocol. This tool is indexed in the awesome-mcp-servers repository.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants for dropshipping automation with DSers", "useCases": [ "Retrieve product details from DSers for AI-driven analysis", "Automate product updates and synchronization for dropshipping stores", "Integrate DSers product management into custom AI workflows" ], "pros": [ "Standard MCP interface allows integration with any MCP-compatible AI client", "Open source and community-maintained", "Provides direct access to DSers product data without manual API coding" ], "cons": [ "Requires a DSers account and API credentials", "Functionality limited to product-related endpoints in DSers", "Dependent on DSers API reliability and rate limits" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/lofder/dsers-mcp-product", "relations": { "works_in": [ "cursor", "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/lofder-dsers-mcp-product" }, { "slug": "log-logn-langfuse-mcp-java", "name": "log-logn/langfuse-mcp-java", "vendor": "Various", "tagline": "MCP server for Langfuse — query traces, debug errors, analyze sessions and prompts from any AI agent", "description": "A Java-based MCP server that connects to Langfuse, enabling AI agents to query traces, debug errors, and analyze sessions and prompts. It provides a protocol bridge between MCP-compatible clients and the Langfuse observability platform.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Java developers who want to embed Langfuse trace queries into MCP-based agents.", "useCases": [ "Query Langfuse traces from an agent workflow", "Debug AI agent errors using Langfuse logs", "Analyze session and prompt usage via MCP" ], "pros": [ "Open source and free to use", "Language-native for Java ecosystems", "Enables direct agent-to-observability integration" ], "cons": [ "Very low community adoption and traction (2 GitHub stars)", "Limited to Java runtime, not usable from other languages natively", "No evidence of ongoing maintenance or documentation beyond basic repo" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "Java" ], "license": "MIT", "lastUpdated": "2026-03-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/Log-LogN/langfuse-mcp-java", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/log-logn-langfuse-mcp-java" }, { "slug": "logitale-toreador-mcp-server", "name": "Logitale/toreador-mcp-server", "vendor": "Various", "tagline": "Official Model Context Protocol (MCP) server for Toreador — generate crypto QR codes and manage payment sessions from Claude Desktop, Cursor, ChatGPT and other MCP clients.", "description": "An MCP server for Toreador that generates cryptocurrency QR codes and manages payment sessions. It integrates with Claude Desktop, Cursor, ChatGPT and other MCP-compatible clients through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers integrating cryptocurrency payments into MCP-enabled AI assistants", "useCases": [ "Generate cryptocurrency QR codes", "Manage payment sessions via MCP", "Enable crypto payments in Claude Desktop and similar tools" ], "pros": [ "Standard MCP integration for broad compatibility", "Enables crypto payment functionality in popular AI interfaces", "Specific focus on cryptocurrency QR generation and session management" ], "cons": [ "New project with no public adoption (0 stars)", "Limited to Toreador payment platform", "Only supports cryptocurrency use cases, not fiat" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/Logitale/toreador-mcp-server", "relations": { "works_in": [ "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/logitale-toreador-mcp-server" }, { "slug": "loglux-authmcp-gateway", "name": "loglux/authmcp-gateway", "vendor": "Various", "tagline": "🔐 Secure authentication proxy for MCP servers with JWT auth, real-time monitoring, and admin dashboard. Production-ready Docker deployment.", "description": "An authentication proxy for MCP servers that adds JWT-based access control, real-time monitoring, and an admin dashboard. It runs as a Docker container and intercepts requests to enforce authentication before they reach backend MCP services.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a quick, production-grade auth layer for MCP servers", "useCases": [ "Securing MCP server endpoints with JWT authentication", "Monitoring MCP server activity and traffic in real time", "Deploying a production-ready auth gateway for MCP-based tools" ], "pros": [ "Easy Docker deployment for quick setup", "Built-in monitoring dashboard for observability", "Lightweight Python implementation with low overhead" ], "cons": [ "Limited community with only 7 GitHub stars", "Depends on Docker, not suitable for all environments", "JWT-only auth may not fit all use cases" ], "tags": [ "jwt-auth", "jwt-authentication", "jwt-token", "mcp", "mcp-gateway", "mcp-proxy", "mcp-proxy-server", "mcp-security" ], "featured": false, "tier": "curated", "stars": 7, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/loglux/authmcp-gateway", "relations": { "works_in": [], "uses": [ "docker" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/loglux-authmcp-gateway" }, { "slug": "logly-mureo", "name": "logly/mureo", "vendor": "Various", "tagline": "Your local-first AI ad ops crew. Works with Claude Code, Cursor, Codex & Gemini.", "description": "A local-first Python tool that provides AI-powered assistance for ad operations tasks. It integrates with Claude Code, Cursor, Codex, and Gemini, allowing users to run ad ops workflows directly from their development environment.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and ad ops professionals who want AI assistance integrated into their local development workflow", "useCases": [ "Query ad campaign performance using natural language prompts", "Generate ad creative variations with local language models", "Automate routine ad ops tasks like budget adjustments or reporting" ], "pros": [ "Runs locally, preserving data privacy and enabling offline use", "Works with multiple popular AI coding assistants", "Python-based, easy to customize and extend" ], "cons": [ "Very early stage with minimal community and documentation (8 stars)", "Dependent on local LLM setup for full functionality", "May require manual integration for specific ad platforms" ], "tags": [ "advertising", "agentic-ai", "ai-agents", "claude-code", "cli", "codex", "cursor", "facebook-ads" ], "featured": false, "tier": "curated", "stars": 8, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/logly/mureo", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [ "claude-code", "cursor" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/logly-mureo" }, { "slug": "loglux-whatsapp-mcp-stream", "name": "loglux/whatsapp-mcp-stream", "vendor": "Various", "tagline": "A WhatsApp MCP server built around Streamable HTTP transport, using Baileys for WhatsApp connectivity, with a web admin UI and bidirectional media flow (upload + download).", "description": "A WhatsApp MCP server built with Streamable HTTP transport. It uses Baileys for WhatsApp connectivity and includes a web admin UI. Bidirectional media upload and download are supported.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to link WhatsApp with MCP-based AI tools and want a ready-made server with a basic admin UI", "useCases": [ "Connecting WhatsApp to MCP-compatible AI agents for automated messaging", "Handling media files such as images and documents within WhatsApp conversations", "Managing multiple WhatsApp sessions through a web admin interface" ], "pros": [ "Supports both upload and download of media for rich interactions", "Includes a web admin UI for easier session management", "Uses Streamable HTTP transport for compatibility with MCP clients" ], "cons": [ "Relies on Baileys, a third-party library that may break with WhatsApp updates", "Low community adoption (4 stars on GitHub) suggests limited testing and support", "Not an official WhatsApp integration, so long-term reliability is uncertain" ], "tags": [ "beileys", "mcp", "mcp-server", "whatsapp", "whatsapp-automation" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/loglux/whatsapp-mcp-stream", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "lharries-whatsapp-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/loglux-whatsapp-mcp-stream" }, { "slug": "logotype-fixparser", "name": "logotype/fixparser", "vendor": "Various", "tagline": "🎖 📇 ☁️ 🏠 📟 - FIX Protocol (send orders, market data, etc.) written in TypeScript.", "description": "A TypeScript library for the FIX protocol, enabling order and market data transmission. It provides parsing and message handling for financial communication.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building FIX-based trading systems or financial data pipelines", "useCases": [ "Building trading applications that send and receive FIX messages", "Integrating with exchanges or brokers using FIX protocol", "Parsing and validating FIX messages in TypeScript projects" ], "pros": [ "Written in TypeScript, offering type safety and modern JavaScript features", "Open source and available on GitLab for community contributions", "Lightweight and focused on core FIX protocol functionality" ], "cons": [ "Niche use case limited to financial trading systems", "Small community and documentation may be sparse", "Requires understanding of FIX protocol standards to use effectively" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://gitlab.com/logotype/fixparser", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/logotype-fixparser" }, { "slug": "longbridge-longbridge-mcp", "name": "longbridge/longbridge-mcp", "vendor": "Various", "tagline": "longbridge/longbridge-mcp — indexed from awesome-mcp-servers-punkpeye", "description": "An open-source Rust-based MCP server that provides programmatic access to Longbridge financial services. It enables AI agents to retrieve market data, execute trades, and manage portfolios through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers creating MCP-compatible AI agents that need to interact with Longbridge financial services", "useCases": [ "Fetch real-time stock quotes and historical market data from Longbridge", "Place and manage orders for stocks or ETFs programmatically", "Build AI-driven portfolio monitoring and rebalancing tools" ], "pros": [ "Written in Rust, offering high performance and low latency", "Leverages standardized MCP protocol for agent integration", "Open source with no vendor lock-in" ], "cons": [ "Very early stage with only 7 GitHub stars and limited community adoption", "Relies on Longbridge API; coverage of endpoints may be incomplete", "No official support from Longbridge; maintenance depends on contributors" ], "tags": [ "finance", "longbridge", "mcp", "mcp-server", "model-context-protocol", "trading" ], "featured": false, "tier": "curated", "stars": 7, "language": [ "Rust" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/longbridge/longbridge-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "mediar-ai-screenpipe" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/longbridge-longbridge-mcp" }, { "slug": "longevity-genie-biothings-mcp", "name": "longevity-genie/biothings-mcp", "vendor": "Various", "tagline": "MCP (Model Context Protocol) server for biothings", "description": "A Model Context Protocol server that exposes biothings APIs to AI agents. It lets LLMs query biomedical data sources like gene annotations, variant information, and drug interactions through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to query biomedical databases programmatically", "useCases": [ "Retrieve gene function and pathway data for research analysis", "Look up drug-target interactions and adverse effects", "Query variant annotations for genomic interpretation" ], "pros": [ "Standard MCP interface makes it easy to integrate with any MCP-compatible client", "Direct access to multiple biothings databases without custom API code", "Lightweight Python server with minimal dependencies" ], "cons": [ "Small community with only 32 GitHub stars and limited documentation", "Requires running a local server, adding deployment overhead", "Dependent on external biothings API availability and rate limits" ], "tags": [ "bioinformatics", "biothings", "genetic-variants", "genetics", "mcp-server" ], "featured": false, "tier": "curated", "stars": 32, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-11-03", "addedAt": "2026-06-01", "officialLink": "https://github.com/longevity-genie/biothings-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/longevity-genie-biothings-mcp" }, { "slug": "longevity-genie-opengenes-mcp", "name": "longevity-genie/opengenes-mcp", "vendor": "Various", "tagline": "MCP for the open-genes", "description": "An MCP (Model Context Protocol) server that provides access to open-genes data, enabling AI agents to query gene information programmatically. Built in Python, it serves as a bridge between large language models and open-genes datasets.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants or agents that need to query open-genes gene data for longevity research", "useCases": [ "Query gene metadata and annotations from open-genes through an MCP interface", "Integrate longevity-related gene data into AI agent workflows", "Extend AI chatbots with factual gene information retrieval capabilities" ], "pros": [ "Leverages the standard MCP protocol for easy integration with AI tools", "Python-based, making it straightforward to customize or extend", "Open source with a clear focus on longevity and gene data" ], "cons": [ "Small community (18 stars) may mean limited support or contributions", "Narrow scope limited to open-genes, not a general-purpose knowledge base", "Requires running a local MCP server, adding deployment overhead" ], "tags": [], "featured": false, "tier": "curated", "stars": 18, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-10-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/longevity-genie/opengenes-mcp", "relations": { "works_in": [ "continue", "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/longevity-genie-opengenes-mcp" }, { "slug": "longevity-genie-synergy-age-mcp", "name": "longevity-genie/synergy-age-mcp", "vendor": "Various", "tagline": "🎖️ 🐍 🏠 ☁️ - MCP server for the SynergyAge database of synergistic and antagonistic genetic interactions in longevity.", "description": "This is an MCP server that provides access to the SynergyAge database, which catalogs synergistic and antagonistic genetic interactions related to longevity. It exposes the database through the Model Context Protocol, enabling AI agents to query genetic interaction data programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Researchers and developers building AI agents for longevity and aging genetics", "useCases": [ "Querying synergistic or antagonistic genetic interactions in longevity research", "Integrating curated longevity genetics data into AI agent workflows", "Exploring gene-gene interaction networks for aging studies" ], "pros": [ "Lightweight Python server with a standardized MCP interface", "Direct access to a specialized, curated database of longevity genetics", "Enables AI tools to programmatically retrieve genetic interaction data" ], "cons": [ "Small community with only 10 GitHub stars, indicating limited adoption", "Niche use case limited to longevity and aging genetics research", "Likely sparse documentation and examples due to early stage" ], "tags": [], "featured": false, "tier": "curated", "stars": 10, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-08-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/longevity-genie/synergy-age-mcp", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/longevity-genie-synergy-age-mcp" }, { "slug": "longportapp-openapi", "name": "longportapp/openapi", "vendor": "Various", "tagline": "LongPort OpenAPI SDK Base.", "description": "LongPort OpenAPI SDK Base is a Rust library that provides foundational components for interacting with the LongPort trading API. It offers core functionalities for building applications that communicate with the LongPort platform. The SDK is open source and hosted on GitHub.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Rust developers building applications on the LongPort trading platform", "useCases": [ "Building automated trading strategies on LongPort", "Accessing real-time market data via LongPort API", "Integrating LongPort account management into custom applications" ], "pros": [ "Rust implementation delivers high performance and memory safety", "Open source with 432 stars indicating community interest", "Provides a solid foundation for LongPort API access" ], "cons": [ "Limited to Rust ecosystem, not available in other languages", "Focuses on base SDK, may require additional libraries for advanced functionality", "Documentation and support rely on community efforts" ], "tags": [ "jni", "napi", "pyo3", "rust", "sdk" ], "featured": false, "tier": "curated", "stars": 432, "language": [ "Rust" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/longportapp/openapi/tree/main/mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/longportapp-openapi" }, { "slug": "louis030195-apollo-io-mcp", "name": "louis030195/apollo-io-mcp", "vendor": "Various", "tagline": "let AGI print dollars for you", "description": "A JavaScript MCP server that integrates with Apollo.io to automate sales prospecting and outreach. It lets AI agents search for leads, enrich contact data, and sequence messages directly through the Apollo API.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to automate B2B sales prospecting and outreach", "useCases": [ "Automate lead generation and enrichment from Apollo.io", "Trigger personalized email sequences based on prospect data", "Build AI-driven sales workflows that update CRM records" ], "pros": [ "Directly connects AI agents to Apollo.io's sales database", "Lightweight JavaScript implementation with minimal dependencies", "Enables hands-off prospecting and outreach automation" ], "cons": [ "Requires an active Apollo.io subscription and API key", "Limited to Apollo.io's data coverage and rate limits", "Small community and few stars indicate early-stage project" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2025-10-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/louis030195/apollo-io-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "lharries-whatsapp-mcp", "elie222-inbox-zero" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/louis030195-apollo-io-mcp" }, { "slug": "louis030195-gptzero-mcp", "name": "louis030195/gptzero-mcp", "vendor": "Various", "tagline": "📇 ☁️ 🍎 🪟 🐧 - AI detection for text content with GPTZero API. Detect AI-generated text, get confidence scores, multilingual support (French/Spanish), and detailed probability br", "description": "A Model Context Protocol server that integrates GPTZero's text detection API. It analyzes text to determine AI generation, returning confidence scores and probability breakdowns. Supports French and Spanish in addition to English.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to check text authenticity through GPTZero within MCP-compatible AI tools", "useCases": [ "Detect AI-generated content in documents or messages", "Get confidence scores for text authenticity checks", "Analyze multilingual text for AI origin using GPTZero API" ], "pros": [ "Simple integration via MCP with AI assistants", "Provides detailed probability breakdown, not just a binary result", "Multilingual support for French and Spanish" ], "cons": [ "Requires a GPTZero API key, which is a paid service", "Accuracy of AI detection varies and may produce false positives or negatives", "Limited adoption (0 GitHub stars) and potential maintenance risks" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2025-10-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/louis030195/gptzero-mcp", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/louis030195-gptzero-mcp" }, { "slug": "louis030195-easy-obsidian-mcp", "name": "louis030195/easy-obsidian-mcp", "vendor": "Various", "tagline": "wire your brain to AGI through the best obsidian MCP", "description": "An open-source Model Context Protocol server for Obsidian built in TypeScript. It enables AI models to read and write notes in an Obsidian vault through the MCP interface. The project is early stage with 16 stars on GitHub.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with connecting Obsidian to AI models via the Model Context Protocol", "useCases": [ "Connecting an AI assistant to query and modify Obsidian notes", "Automating note summarization and retrieval from a personal knowledge base", "Building context-aware workflows between Obsidian and large language models" ], "pros": [ "Lightweight TypeScript implementation of the Model Context Protocol", "Open source with permissive license (MIT)", "Straightforward integration for developers familiar with Obsidian and MCP" ], "cons": [ "Very small community and limited documentation", "Not production-ready lacks comprehensive testing", "May not support all Obsidian API features or edge cases" ], "tags": [ "ai", "obsidian", "personal-knowledge-management", "pkm" ], "featured": false, "tier": "curated", "stars": 16, "language": [ "TypeScript" ], "lastUpdated": "2025-10-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/louis030195/easy-obsidian-mcp", "relations": { "works_in": [ "cline", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/louis030195-easy-obsidian-mcp" }, { "slug": "louis030195-terminator-mcp-agent", "name": "louis030195/terminator-mcp-agent", "vendor": "Various", "tagline": "playwright for windows computer use", "description": "A Rust-based MCP agent that integrates Playwright-style automation for controlling Windows desktop applications. It provides an interface for programmatic mouse and keyboard interaction with GUI elements.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing reliable, scriptable automation of Windows desktop UIs", "useCases": [ "Automating repetitive Windows GUI tasks", "Testing desktop application workflows", "Controlling remote Windows machines programmatically" ], "pros": [ "Written in Rust for performance and reliability", "Open source with an active community (1508 stars)", "Provides low-level control over Windows UI elements" ], "cons": [ "Limited to Windows platform", "Requires understanding of MCP and Playwright concepts", "Rust codebase may have a steeper learning curve for some developers" ], "tags": [ "agent", "agents", "ai", "llm", "ml", "native", "py", "rust" ], "featured": false, "tier": "curated", "stars": 1508, "language": [ "Rust" ], "license": "MIT", "lastUpdated": "2026-04-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/mediar-ai/terminator/tree/main/terminator-mcp-agent", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "executeautomation-playwright-mcp-server", "wonderwhy-er-desktopcommandermcp" ], "alternative_to": [ "wonderwhy-er-desktopcommandermcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/louis030195-terminator-mcp-agent" }, { "slug": "louis030195-toggl-mcp", "name": "louis030195/toggl-mcp", "vendor": "Various", "tagline": "let AGI know how you spend your time through the best Toggl MCP", "description": "A JavaScript-based MCP server that exposes Toggl time tracking data to AI agents. It allows AI to query how time is spent by connecting Toggl entries through the Model Context Protocol. The tool requires a Toggl API key and an MCP client to function.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need access to Toggl time tracking data", "useCases": [ "Integrate Toggl time logs with AI assistants", "Automate time reporting via AI agents", "Query personal productivity data from Toggl" ], "pros": [ "Simple setup for Toggl users", "Leverages MCP standard for AI integration", "Open source with permissive license" ], "cons": [ "Low community adoption (2 stars)", "Limited documentation beyond basic description", "Requires Toggl API key and MCP client" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2025-10-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/louis030195/toggl-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "eyaltoledano-claude-task-master" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/louis030195-toggl-mcp" }, { "slug": "louiscklaw-hko-mcp", "name": "louiscklaw/hko-mcp", "vendor": "Various", "tagline": "Fetch data from Hong Kong Observatory with MCP", "description": "A Model Context Protocol (MCP) server that fetches weather and environmental data from the Hong Kong Observatory. It exposes observatory endpoints as tools for AI assistants to query local forecasts, warnings, and observations.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need localized Hong Kong weather data", "useCases": [ "Retrieve current weather conditions and forecasts for Hong Kong", "Check tropical cyclone warnings and other hazard alerts", "Integrate Hong Kong Observatory data into AI-powered applications" ], "pros": [ "Provides direct access to official Hong Kong weather data", "Simple MCP interface for easy integration with AI agents", "Lightweight TypeScript implementation" ], "cons": [ "Very low community adoption (1 star) suggests limited testing or support", "Only covers Hong Kong Observatory data, not other regions", "Dependency on MCP ecosystem may limit broader use" ], "tags": [ "hong-kong", "hongkong", "mcp", "mcp-servers" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-08-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/louiscklaw/hko-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/louiscklaw-hko-mcp" }, { "slug": "lpigeon-ros-mcp-server", "name": "lpigeon/ros-mcp-server", "vendor": "Various", "tagline": "Connect AI models like Claude & GPT with robots using MCP and ROS.", "description": "A Python server that bridges AI models (Claude, GPT) with robots using the Model Context Protocol (MCP) and Robot Operating System (ROS). It translates natural language requests into ROS commands, enabling AI-driven robot control and monitoring.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers integrating large language models with ROS-based robotic systems", "useCases": [ "Command a robot arm to pick objects using natural language via Claude", "Query sensor data from a ROS-enabled robot through GPT", "Automate multi-step robot tasks by chaining AI model calls" ], "pros": [ "Leverages existing ROS infrastructure for real robot control", "Supports multiple AI models through the MCP standard", "Active open-source project with over 1,200 stars" ], "cons": [ "Requires a running ROS environment, limiting use to ROS-compatible robots", "Dependent on external AI model APIs for natural language processing", "No built-in simulation or safety validation for generated commands" ], "tags": [ "mcp", "mcp-server", "modelcontextprotocol", "ros", "ros-mcp-server", "ros2", "ros2-mcp-server" ], "featured": false, "tier": "curated", "stars": 1257, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/lpigeon/ros-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "ahujasid-blender-mcp", "coding-solo-godot-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/lpigeon-ros-mcp-server" }, { "slug": "lpigeon-unitree-go2-mcp-server", "name": "lpigeon/unitree-go2-mcp-server", "vendor": "Various", "tagline": "The Unitree Go2 MCP Server is a server built on the MCP that enables users to control the Unitree Go2 robot using natural language commands interpreted by a LLM.", "description": "The Unitree Go2 MCP Server is a Python-based server that exposes the Unitree Go2 robot's control interface through the Model Context Protocol. It translates natural language commands from a connected LLM into robot actions, enabling conversational control of the robot.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and roboticists who want to experiment with LLM-driven control of a Unitree Go2 robot", "useCases": [ "Controlling a Unitree Go2 robot via voice or chat prompts", "Integrating robot movement and sensor feedback into LLM-driven workflows", "Prototyping interactive robot behaviors without writing low-level control code" ], "pros": [ "Enables natural language control of a physical robot", "Leverages the MCP standard for easy integration with LLM tools", "Open source with a growing community (79 stars)" ], "cons": [ "Requires a Unitree Go2 robot and a compatible LLM to function", "Limited to the capabilities exposed by the robot's SDK", "Relatively new project with potentially sparse documentation" ], "tags": [ "go2", "go2-mcp-server", "mcp", "mcp-server", "modelcontextprotocol", "ros2", "unitree", "unitree-go2" ], "featured": false, "tier": "curated", "stars": 79, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2025-05-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/lpigeon/unitree-go2-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/lpigeon-unitree-go2-mcp-server" }, { "slug": "lucashild-mcp-server-bigquery", "name": "LucasHild/mcp-server-bigquery", "vendor": "Various", "tagline": "A Model Context Protocol server that provides access to BigQuery", "description": "An open-source Model Context Protocol server that exposes BigQuery as a tool for AI models. It enables models like Claude to query BigQuery databases by wrapping SQL operations in MCP endpoints. Built in Python and maintained by the community.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to give AI assistants live query access to BigQuery datasets via the Model Context Protocol", "useCases": [ "Letting an AI assistant run BigQuery SQL queries on demand", "Integrating BigQuery data retrieval into MCP-compatible chat interfaces", "Building automated data exploration workflows that use natural language to query BigQuery" ], "pros": [ "Simple setup for developers already using BigQuery and MCP", "Lightweight Python implementation easy to extend or debug", "Directly bridges AI models with a major cloud data warehouse" ], "cons": [ "Requires manual BigQuery authentication and service account setup", "Limited to the MCP protocol, not a general-purpose BigQuery client", "Community-driven with modest adoption and documentation" ], "tags": [ "bigquery", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 126, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/LucasHild/mcp-server-bigquery", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/lucashild-mcp-server-bigquery" }, { "slug": "lucygoodchild-mcp-national-rail", "name": "lucygoodchild/mcp-national-rail", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server to retrieve train schedules from National Rail", "description": "This is a Model Context Protocol (MCP) server for retrieving train schedule data from National Rail. It provides a programmatic way to query departure and arrival times through a standardized interface. The server is written in TypeScript and can be integrated into any MCP-compatible host.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI tools or apps that need UK train schedule data via the Model Context Protocol", "useCases": [ "Query train departure and arrival times for UK stations", "Integrate rail schedule data into an AI assistant or chatbot", "Automate travel planning with scheduled rail information" ], "pros": [ "Focused tool that does one thing well: accessing National Rail schedules", "Follows the Model Context Protocol for easy integration with AI agents", "Written in TypeScript offering type safety for developers" ], "cons": [ "Limited to scheduled data only (no real-time departures or disruptions)", "Small community (6 stars) suggests limited adoption and maintenance risk", "Requires a National Rail API key which is not included in the repository" ], "tags": [], "featured": false, "tier": "curated", "stars": 6, "language": [ "TypeScript" ], "lastUpdated": "2025-06-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/lucygoodchild/mcp-national-rail", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/lucygoodchild-mcp-national-rail" }, { "slug": "luizedupp-rememb", "name": "LuizEduPP/rememb", "vendor": "Various", "tagline": "Persistent memory for AI agents — local, portable, zero config. Works with Cursor, Windsurf, Claude via MCP.", "description": "Rememb is a local Python tool that adds persistent memory to AI agents. It works via MCP with Cursor, Windsurf, and Claude, requiring no setup or remote servers.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want minimal-effort persistent memory for local AI agents", "useCases": [ "Give AI agents long-term recall across coding sessions", "Retain context when switching between AI tools or projects", "Deploy memory without cloud dependencies or configuration" ], "pros": [ "Zero configuration and fully local for privacy", "Portable across multiple compatible AI interfaces", "Simple integration via standard MCP protocol" ], "cons": [ "Very small community with only 3 GitHub stars", "Limited to Python ecosystem and MCP-compatible tools", "No mention of conflict resolution or memory editing features" ], "tags": [ "agent-memory", "ai-agents", "ai-memories", "ai-memory", "cherry-studio", "claude", "clawdbot", "context-persistence" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/LuizEduPP/Rememb", "relations": { "works_in": [ "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/luizedupp-rememb" }, { "slug": "lukaris-framedeck-mcp", "name": "Lukaris/framedeck-mcp", "vendor": "Various", "tagline": "MCP server for Framedeck — connect any AI assistant to your content production pipeline", "description": "Lukaris/framedeck-mcp is a Model Context Protocol server that connects AI assistants to the Framedeck content production pipeline. It enables AI tools to interact with Framedeck workflows through a standardized interface. The server is written in JavaScript and is open source.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to connect AI assistants to their Framedeck content production workflows", "useCases": [ "Automating content generation and publishing tasks in Framedeck", "Integrating AI assistants like Claude or ChatGPT with Framedeck pipelines", "Building custom AI-driven content workflows on top of Framedeck" ], "pros": [ "Open source and free to use", "Standard MCP interface enables compatibility with many AI assistants", "Lightweight JavaScript implementation easy to extend" ], "cons": [ "Zero stars on GitHub indicates very early stage or low adoption", "Limited documentation and community support", "Requires familiarity with both Framedeck and MCP to set up" ], "tags": [ "ai", "content-creator", "framedeck", "kanban", "mcp" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/Lukaris/framedeck-mcp", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/lukaris-framedeck-mcp" }, { "slug": "lukelamb-claude-terminal-mcp", "name": "LukeLamb/claude-terminal-mcp", "vendor": "Various", "tagline": "Terminal, filesystem, and background-job tools for Claude Desktop on Linux. Zero-dependency MCP extension, MIT-licensed.", "description": "A zero-dependency MCP extension that gives Claude Desktop on Linux direct terminal, filesystem, and background-job capabilities. It is MIT-licensed and written in JavaScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Linux developers who want to control the terminal and filesystem directly from Claude Desktop", "useCases": [ "Run shell commands interactively through Claude Desktop", "Manage files and directories via natural language prompts", "Execute background jobs and monitor their output from Claude" ], "pros": [ "Zero-dependency design simplifies installation", "MIT license allows unrestricted use and modification", "Lightweight extension focused on core system operations" ], "cons": [ "Linux only, no support for Windows or macOS", "Limited to Claude Desktop environment", "New project with no stars or community validation" ], "tags": [ "anthropic", "bash", "claude", "claude-desktop", "developer-tools", "dxt", "extension", "filesystem" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/LukeLamb/claude-terminal-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "wonderwhy-er-desktopcommandermcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/lukelamb-claude-terminal-mcp" }, { "slug": "lulzasaur9192-marketplace-search-mcp", "name": "lulzasaur9192/marketplace-search-mcp", "vendor": "Various", "tagline": "MCP server for marketplace search & price data — TCGPlayer, Reverb, Thumbtack, OfferUp, Craigslist + contractor/nurse license verification + PSA grading", "description": "An MCP server that aggregates search and price data from multiple online marketplaces including TCGPlayer, Reverb, Thumbtack, OfferUp, and Craigslist. It also provides contractor and nurse license verification as well as PSA grading lookups. The tool is built in TypeScript and exposes these capabilities through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need multi-marketplace search and professional credential checks in a single MCP integration", "useCases": [ "Searching product listings and comparing prices across TCGPlayer, Reverb, and Craigslist", "Verifying professional licenses for contractors or nurses via integrated lookups", "Checking PSA grading status for collectible cards" ], "pros": [ "Covers a wide range of marketplaces and professional verification in one server", "Lightweight TypeScript implementation with a single-star community footprint", "Provides niche data (PSA grading, license checks) not commonly bundled together" ], "cons": [ "Very low community adoption (1 star) suggests limited testing or reliability", "No clear documentation on rate limits, authentication, or data freshness for each source", "License verification and grading features may depend on third-party APIs that could break without notice" ], "tags": [ "ai-tools", "claude", "contractor-license", "data-extraction", "license-verification", "llm-tools", "marketplace", "mcp" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "lastUpdated": "2026-03-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/lulzasaur9192/marketplace-search-mcp", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/lulzasaur9192-marketplace-search-mcp" }, { "slug": "lumabyteco-clarifyprompt-mcp", "name": "LumabyteCo/clarifyprompt-mcp", "vendor": "Various", "tagline": "LumabyteCo/clarifyprompt-mcp — indexed from awesome-mcp-servers-punkpeye", "description": "LumabyteCo/clarifyprompt-mcp is a Model Context Protocol server that refines user prompts for clarity and specificity. It analyzes input prompts and suggests improvements to reduce ambiguity, helping developers craft more effective queries for language models.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based tools who need to automatically improve prompt quality before LLM calls", "useCases": [ "Improve vague or ambiguous prompts before sending to an LLM", "Automate prompt refinement in a development workflow", "Integrate prompt clarification into a custom MCP client" ], "pros": [ "Lightweight TypeScript implementation with minimal dependencies", "Directly addresses a common pain point in LLM interactions", "Easy to integrate as an MCP server in existing toolchains" ], "cons": [ "Limited to prompt clarification only, no broader functionality", "Small community and low star count may indicate limited testing", "Requires an MCP-compatible client to be useful" ], "tags": [], "featured": false, "tier": "curated", "stars": 5, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/LumabyteCo/clarifyprompt-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "gpt-prompt-engineer" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/lumabyteco-clarifyprompt-mcp" }, { "slug": "luminati-io-brightdata-mcp", "name": "luminati-io/brightdata-mcp", "vendor": "Various", "tagline": "A powerful Model Context Protocol (MCP) server that provides an all-in-one solution for public web access.", "description": "An open-source Model Context Protocol server that provides programmatic access to public web data. It acts as a bridge between AI agents and web scraping capabilities using the MCP standard.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a reliable, standards-based way to give AI agents controlled access to public web data.", "useCases": [ "Scraping public web pages for data extraction", "Feeding real-time web content into AI agent workflows", "Building automated research tools that browse public sites" ], "pros": [ "Well-established with over 2400 GitHub stars", "Written in JavaScript, easy to integrate into Node.js projects", "Leverages the MCP standard for interoperability with AI systems" ], "cons": [ "Requires a BrightData account and API key for full functionality", "Limited to publicly accessible web data only", "May incur usage costs from the underlying BrightData service" ], "tags": [ "ai-agents", "ai-integrations", "anti-bot-detection", "browser-automation", "data-collection", "data-extraction", "llm", "mcp" ], "featured": false, "tier": "curated", "stars": 2425, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/luminati-io/brightdata-mcp", "relations": { "works_in": [ "cursor", "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/luminati-io-brightdata-mcp" }, { "slug": "lwtlong-ai-dev-analytics", "name": "LWTlong/ai-dev-analytics", "vendor": "Various", "tagline": "An open-source AI coding observability layer. Silently tracks vibe coding sessions via MCP and codifies AI deviations into project rules. 100% local.", "description": "An open-source TypeScript tool that silently tracks AI coding sessions via the Model Context Protocol. It logs deviations from project rules during vibe coding and codifies those deviations into updated rules, all running 100% locally.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using AI coding assistants who want to enforce and evolve project rules locally", "useCases": [ "Monitor how AI assistants deviate from established project conventions", "Automatically update project rules based on observed AI behavior", "Audit local AI coding sessions without sending data to external servers" ], "pros": [ "Fully local operation ensures data privacy", "Automates rule maintenance from real AI usage patterns", "Lightweight observability layer for AI-assisted development" ], "cons": [ "Very early stage with only 7 GitHub stars and limited community", "Requires MCP integration which may not work with all AI tools", "No documented support for non-TypeScript projects or complex rule formats" ], "tags": [], "featured": false, "tier": "curated", "stars": 7, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/LWTlong/ai-dev-analytics", "relations": { "works_in": [ "cline", "claude-code", "continue", "cursor" ], "uses": [], "built_with": [], "pairs_with": [ "mediar-ai-screenpipe", "vectorize-io-hindsight" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/lwtlong-ai-dev-analytics" }, { "slug": "lvcidpsyche-auto-browser", "name": "LvcidPsyche/auto-browser", "vendor": "Various", "tagline": "Give your AI agent a real browser — with a human in the loop. Open-source MCP-native browser agent.", "description": "An open-source MCP-native browser agent that gives AI agents control of a real browser while keeping a human in the loop. It is written in Python and enables interactive web automation with manual oversight.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building safe, interactive AI agents for real browser tasks", "useCases": [ "Automating multi-step web tasks with human approval", "Testing web applications by simulating user interactions", "Extracting data from dynamic websites with visual confirmation" ], "pros": [ "Open-source and MCP-native for seamless protocol integration", "Human-in-the-loop design reduces risk of unintended actions", "Leverages a real browser for accurate rendering and interaction" ], "cons": [ "Requires MCP server setup, adding initial configuration overhead", "Python-only implementation limits language flexibility", "Small community (531 stars) may mean fewer resources and updates" ], "tags": [ "ai-agent", "ai-agents", "browser-automation", "claude", "docker", "fastapi", "llm", "local-first" ], "featured": false, "tier": "curated", "stars": 531, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/LvcidPsyche/auto-browser", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "agent-infra-mcp-server-browser", "browsermcp-mcp", "executeautomation-playwright-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/lvcidpsyche-auto-browser" }, { "slug": "lyonzin-knowledge-rag", "name": "lyonzin/knowledge-rag", "vendor": "Various", "tagline": "[knowledge-rag] - Drop docs, search instantly from Claude Code — 12 MCP tools, 20 format parsers, hybrid search + reranking. Zero servers, zero API keys, 100% local.", "description": "knowledge-rag indexes documentation for instant retrieval from Claude Code. It provides 12 MCP tools, supports 20 document formats, and uses hybrid search plus reranking. The system runs entirely locally with zero servers and no API keys.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude Code who need private, local document retrieval", "useCases": [ "Query project documentation directly from Claude Code", "Enable Claude Code to access domain-specific knowledge without external services", "Integrate local technical guides into coding sessions" ], "pros": [ "Fully local, no server setup or API keys needed", "Supports a wide range of document formats (20 parsers)", "Combines hybrid search with reranking for better retrieval" ], "cons": [ "Designed specifically for Claude Code, limiting use with other tools", "Requires Python environment and manual document dropping", "Relatively small community (88 stars) may mean limited ongoing support" ], "tags": [ "antigravity", "claude", "claude-code", "claude-code-cli", "codex", "cursor-ai", "document-search", "hybrid-search" ], "featured": false, "tier": "curated", "stars": 88, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/lyonzin/knowledge-rag", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/lyonzin-knowledge-rag" }, { "slug": "macrocosm-os-macrocosmos-mcp", "name": "macrocosm-os/macrocosmos-mcp", "vendor": "Various", "tagline": "The MCP for macrocosmos subnets.", "description": "A Python implementation of the Model Context Protocol (MCP) for macrocosmos subnets. It enables developers to integrate AI models with macrocosmos subnet operations through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-compatible agents for macrocosmos subnets", "useCases": [ "Building AI agents that interact with macrocosmos subnets", "Integrating language models with macrocosmos subnet data", "Developing tools for macrocosmos subnet management via MCP" ], "pros": [ "Written in Python, easy to integrate into existing Python projects", "Open source with an MIT license, allows for customization", "Lightweight implementation focused on macrocosmos subnets" ], "cons": [ "Small user base (28 GitHub stars) means limited community support", "Documentation may be sparse given the early stage of the project", "Specific to macrocosmos subnets, not general-purpose MCP" ], "tags": [], "featured": false, "tier": "curated", "stars": 28, "language": [ "Python" ], "lastUpdated": "2026-01-09", "addedAt": "2026-06-01", "officialLink": "https://github.com/macrocosm-os/macrocosmos-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/macrocosm-os-macrocosmos-mcp" }, { "slug": "madbonez-caldav-mcp", "name": "madbonez/caldav-mcp", "vendor": "Various", "tagline": "🐍 ☁️ - Universal MCP server for CalDAV protocol integration. Works with any CalDAV-compatible calendar server including Yandex Calendar, Google Calendar (via CalDAV), Nextcloud, o", "description": "madbonez/caldav-mcp is a universal MCP server for CalDAV protocol integration. It connects to any CalDAV-compatible calendar server, including Yandex Calendar, Google Calendar via CalDAV, and Nextcloud. Written in Python, it enables AI agents to read and write calendar data through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to integrate calendar data from multiple CalDAV sources into MCP-based AI tools", "useCases": [ "Building AI assistants that can schedule or retrieve calendar events", "Syncing tasks and events from multiple CalDAV providers into a unified interface", "Creating automation workflows that interact with personal or shared calendars" ], "pros": [ "Works with a wide range of CalDAV servers, not tied to a single provider", "Open source and written in Python, making it easy to audit or extend", "Provides a standardized MCP interface for calendar operations" ], "cons": [ "Low star count (8) suggests early stage with limited community validation", "Requires users to have a CalDAV-enabled calendar server already set up", "Potential instability or incomplete feature coverage due to minimal adoption" ], "tags": [], "featured": false, "tier": "curated", "stars": 8, "language": [ "Python" ], "lastUpdated": "2025-11-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/madbonez/caldav-mcp", "relations": { "works_in": [ "claude-code", "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/madbonez-caldav-mcp" }, { "slug": "madhan-g-p-devdocs-mcp", "name": "madhan-g-p/DevDocs-MCP", "vendor": "Various", "tagline": "Documentation Authority for AI Agents based upon Devdocs", "description": "An MCP server that provides AI agents with authoritative documentation from DevDocs. It allows agents to query and retrieve documentation for a wide range of programming languages and frameworks.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need reliable, up-to-date documentation lookups", "useCases": [ "Enable AI coding assistants to fetch accurate API docs on demand", "Integrate DevDocs content into agent workflows for context-aware help", "Reduce hallucination by grounding agent responses in official documentation" ], "pros": [ "Leverages the comprehensive DevDocs library of documentation", "Simple MCP interface for easy integration with agent frameworks", "Open source and free to use" ], "cons": [ "Limited to documentation available on DevDocs", "Requires network access to fetch documentation", "Small community and low star count may indicate limited support" ], "tags": [ "ai-agents", "devdocs", "mcp-server" ], "featured": false, "tier": "curated", "stars": 11, "language": [ "TypeScript" ], "lastUpdated": "2026-05-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/madhan-g-p/DevDocs-MCP", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "microsoft-markitdown", "vectorize-io-hindsight" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/madhan-g-p-devdocs-mcp" }, { "slug": "magarcia-mcp-server-giphy", "name": "magarcia/mcp-server-giphy", "vendor": "Various", "tagline": "An implementation of Giphy integration with Model Context Protocol", "description": "This is a TypeScript server that implements the Model Context Protocol (MCP) to provide Giphy search and retrieval capabilities. It allows MCP-compatible AI agents to query Giphy's library and return GIFs as part of their responses.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based AI assistants that need to fetch and display GIFs", "useCases": [ "Add GIF search to an AI chatbot or assistant", "Enable AI agents to respond with relevant GIFs in conversations", "Integrate Giphy into MCP-based toolchains for creative or casual interactions" ], "pros": [ "Straightforward MCP integration for Giphy", "Leverages Giphy's extensive GIF library", "Open source with 32 stars and TypeScript codebase" ], "cons": [ "Requires a Giphy API key to function", "Limited to GIF search and retrieval only", "Depends on an MCP-compatible client or host to be useful" ], "tags": [ "giphy", "giphy-api", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 32, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-05-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/magarcia/mcp-server-giphy", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/magarcia-mcp-server-giphy" }, { "slug": "mag-cie-mcp-microsoft-todo", "name": "MAG-Cie/mcp-microsoft-todo", "vendor": "Various", "tagline": "MCP server for Microsoft To Do via Microsoft Graph API. Manage task lists, create, update, complete and delete tasks from Claude Code, Claude Desktop, or any MCP-compatible client.", "description": "MCP server that connects Microsoft To Do to MCP-compatible clients like Claude Code or Claude Desktop. Uses the Microsoft Graph API to manage tasks and lists. Authentication via MSAL device code flow with a persisted token cache.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to control Microsoft To Do from AI coding assistants", "useCases": [ "Manage Microsoft To Do tasks from Claude Code", "Create and update task lists via MCP client", "Automate task completion workflows" ], "pros": [ "Simple stdio transport for easy integration", "Persisted token cache avoids repeated login", "Supports full CRUD on tasks and lists" ], "cons": [ "Only 2 stars indicates limited community adoption", "Requires Microsoft Graph API permissions and device code auth setup", "Limited to Microsoft To Do ecosystem" ], "tags": [ "anthropic", "claude", "claude-code", "mcp", "microsoft-todo" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/MAG-Cie/mcp-microsoft-todo", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mag-cie-mcp-microsoft-todo" }, { "slug": "magna-nz-aspnetcore-debugger-mcp", "name": "magna-nz/aspnetcore-debugger-mcp", "vendor": "Various", "tagline": "MCP server that lets AI agents (Claude, Cursor) debug your .NET / ASP.NET Core app", "description": "An MCP server that enables AI agents like Claude and Cursor to debug .NET and ASP.NET Core applications. It provides a bridge between AI tools and the .NET debugger, allowing agents to inspect state, set breakpoints, and step through code.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": ".NET developers who want to debug applications using AI agents like Claude or Cursor", "useCases": [ "Debugging .NET applications via natural language commands in Claude or Cursor", "Inspecting variable values and call stacks during AI-assisted development", "Automating breakpoint management and step-through debugging in CI workflows" ], "pros": [ "Integrates AI agents directly with .NET debugging workflows", "Open source with a permissive license for customization", "Lightweight C# implementation with minimal dependencies" ], "cons": [ "Requires running an MCP-compatible AI agent (Claude, Cursor) to function", "Limited to .NET / ASP.NET Core applications only", "Small community and limited documentation due to low star count" ], "tags": [ "ai", "ai-agent", "aspnetcore", "csharp", "debug", "debug-adapter-protocol", "debugging", "diagnostics" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "C#" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/magna-nz/aspnetcore-debugger-mcp", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/magna-nz-aspnetcore-debugger-mcp" }, { "slug": "mahdin75-geoserver-mcp", "name": "mahdin75/geoserver-mcp", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server implementation that connects LLMs to the GeoServer REST API", "description": "An MCP server that exposes GeoServer REST API operations as tools for LLMs. It enables LLM clients to query and manage geospatial data through the Model Context Protocol. The Python server translates natural language requests into REST calls to GeoServer.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to let LLMs interact with GeoServer-managed geospatial data", "useCases": [ "Querying GeoServer layers and feature types via an LLM interface", "Automating layer creation or style updates in GeoServer", "Building conversational geospatial data assistants" ], "pros": [ "Leverages the standard MCP protocol for broad LLM client compatibility", "Python-based, easy to install and extend", "Provides direct access to GeoServer management operations" ], "cons": [ "Requires a running GeoServer instance to be useful", "Limited to GeoServer REST API capabilities", "Dependent on MCP client ecosystem for real-world use" ], "tags": [], "featured": false, "tier": "curated", "stars": 75, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-12-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/mahdin75/geoserver-mcp", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mahdin75-geoserver-mcp" }, { "slug": "mailboxvalidator-mcp-mailboxvalidator", "name": "MailboxValidator/mcp-mailboxvalidator", "vendor": "Various", "tagline": "Email validation MCP server using MailboxValidator API", "description": "MailboxValidator/mcp-mailboxvalidator is a TypeScript server that implements the Model Context Protocol to validate email addresses through the MailboxValidator API. It accepts email addresses and returns validation status, freeing developers from writing direct API integration code for MCP-compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based assistants or agents that need one-step email validation without writing custom HTTP calls", "useCases": [ "Integrate email validation into AI assistant workflows via MCP", "Validate user input emails in agent-based automation tools", "Build custom email hygiene pipelines that leverage MailboxValidator's database" ], "pros": [ "Simplifies email validation by wrapping a reliable third-party API in an MCP server", "TypeScript implementation makes it easy to extend or embed in TypeScript projects", "Zero internal complexity – validation logic is handled externally by MailboxValidator" ], "cons": [ "Requires a MailboxValidator API key and incurs usage costs beyond API limits", "No built-in fallback or caching for offline validation", "Low community adoption (0 stars) suggests limited testing or support" ], "tags": [ "claude-desktop", "developer-tools", "email-validation", "mailboxvalidator", "mailboxvalidator-api", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/MailboxValidator/mcp-mailboxvalidator", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "elie222-inbox-zero" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mailboxvalidator-mcp-mailboxvalidator" }, { "slug": "makeamouse-fish-bridge-mcp", "name": "MakeaMouse/fish-bridge-mcp", "vendor": "Various", "tagline": "An economical and fuel(token) efficient AI tool, graph session memory for looong chat session", "description": "A Python-based MCP (Model Context Protocol) tool that provides graph-structured session memory for extended AI chat conversations. It aims to reduce token consumption by storing and retrieving context efficiently, enabling long-running sessions without excessive fuel costs.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building cost-sensitive AI chat applications requiring long-term session memory", "useCases": [ "Maintaining conversation history across very long chat sessions with minimal token usage", "Building AI assistants that need persistent memory without reloading full context", "Reducing API costs in applications with extended user interactions" ], "pros": [ "Token-efficient memory management lowers operational costs", "Graph-based structure allows flexible context retrieval", "Open source and lightweight Python implementation" ], "cons": [ "Very early stage with only 1 GitHub star, indicating limited community validation", "Documentation and examples may be sparse", "Python-only, limiting integration with non-Python stacks" ], "tags": [ "ai-context-management", "claude-code", "context-compression", "conversation-graph", "copilot", "cursor", "knowledge-graph", "llm-memory" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/MakeaMouse/fish-bridge-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "topoteretes-cognee", "vectorize-io-hindsight", "upstash-context7" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/makeamouse-fish-bridge-mcp" }, { "slug": "make-software-cspr-trade-mcp", "name": "make-software/cspr-trade-mcp", "vendor": "Various", "tagline": "make-software/cspr-trade-mcp — indexed from awesome-mcp-servers-punkpeye", "description": "A minimal MCP server for CSPR (Casper) trade operations, implemented in TypeScript. It exposes trading-related capabilities through the Model Context Protocol, enabling AI agents to interact with Casper blockchain markets. The repository has very low community traction.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers prototyping AI agents that require basic Casper blockchain trading functionality", "useCases": [ "Connect AI assistants to Casper blockchain trading data", "Execute CSPR trades via natural language through MCP clients", "Monitor CSPR market conditions as part of an automated agent workflow" ], "pros": [ "Lightweight TypeScript codebase easy to inspect and extend", "Fulfills a niche need for CSPR-focused trading via MCP", "Simple integration with any MCP-compatible host or client" ], "cons": [ "Very early stage with only 1 GitHub star, indicating minimal testing or use", "Narrow scope limited to CSPR trading, not general blockchain", "Lacks documentation and example usage beyond repository basics" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/make-software/cspr-trade-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/make-software-cspr-trade-mcp" }, { "slug": "malamutemayhem-unclick-agent-native-endpoints", "name": "malamutemayhem/unclick-agent-native-endpoints", "vendor": "Various", "tagline": "The operating system for the AI-native era.", "description": "A TypeScript library that provides endpoints for building agent-native applications. The project describes itself as an operating system for the AI-native era, though it is early-stage with limited adoption (2 GitHub stars).", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting early with agent-native endpoint patterns", "useCases": [ "Creating REST API endpoints for AI agents", "Integrating agent-native capabilities into existing services", "Prototyping agent-based workflows" ], "pros": [ "Written in TypeScript for type safety", "Small codebase, easy to inspect and modify", "Open source with no vendor lock-in" ], "cons": [ "Very low community traction (2 stars) indicates limited testing", "Project may be unstable or incomplete", "Vague documentation and unclear maintenance commitment" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/malamutemayhem/unclick-agent-native-endpoints", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/malamutemayhem-unclick-agent-native-endpoints" }, { "slug": "mamertofabian-mcp-everything-search", "name": "mamertofabian/mcp-everything-search", "vendor": "Various", "tagline": "🐍 🏠 🪟 - Fast Windows file search using Everything SDK", "description": "MCP server that provides fast Windows file search by wrapping the Everything SDK. It exposes a single search tool to MCP clients, returning file paths and metadata.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Windows developers who need fast programmatic file search for LLM-driven automation", "useCases": [ "Locate files across drives instantly from an LLM prompt", "Script file discovery for automation workflows on Windows", "Query system file metadata without indexing delays" ], "pros": [ "Leverages the proven performance of Everything SDK", "Simple single-purpose tool with clear behavior", "Lightweight Python implementation" ], "cons": [ "Windows only, requires Everything app to be installed", "Limited to file paths and basic metadata (no content search)", "Single tool interface may be too narrow for complex use cases" ], "tags": [], "featured": false, "tier": "curated", "stars": 331, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-10-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/mamertofabian/mcp-everything-search", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mickaelkerjean-filestash", "wonderwhy-er-desktopcommandermcp", "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mamertofabian-mcp-everything-search" }, { "slug": "manusa-kubernetes-mcp-server", "name": "manusa/Kubernetes MCP Server", "vendor": "Various", "tagline": "Model Context Protocol (MCP) server for Kubernetes and OpenShift", "description": "A Model Context Protocol server that enables AI assistants to interact with Kubernetes and OpenShift clusters. Written in Go, it exposes cluster resources and operations through the MCP interface for tool-based management.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and platform engineers who want to manage Kubernetes clusters through conversational AI tools.", "useCases": [ "Querying and managing Kubernetes pods, deployments, and services via an AI assistant", "Troubleshooting cluster issues by inspecting logs and events through natural language", "Automating routine cluster operations like scaling or rolling updates with AI-driven commands" ], "pros": [ "Open source with active development and 1,600+ GitHub stars", "Supports both Kubernetes and OpenShift clusters out of the box", "Integrates with any MCP-compatible AI client (e.g., Claude, custom agents)" ], "cons": [ "Requires a running MCP client and network access to the cluster", "Cluster permissions must be configured separately for the server's service account", "Limited to operations exposed by the MCP protocol; not a full kubectl replacement" ], "tags": [ "containers", "context", "kubernetes", "kubernetes-mcp", "mcp", "model", "modelcontextprotocol", "openshift" ], "featured": false, "tier": "curated", "stars": 1642, "language": [ "Go" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/manusa/kubernetes-mcp-server", "relations": { "works_in": [], "uses": [ "docker" ], "built_with": [], "pairs_with": [ "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/manusa-kubernetes-mcp-server" }, { "slug": "marceausolutions-fitness-influencer-mcp", "name": "MarceauSolutions/fitness-influencer-mcp", "vendor": "Various", "tagline": "Fitness content creator workflow automation - MCP server for Claude Desktop", "description": "MarceauSolutions/fitness-influencer-mcp is a Model Context Protocol (MCP) server for Claude Desktop, designed to automate fitness content creator workflows. It is written in Python and provides a way for Claude to interact with fitness-related tasks via a server interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and fitness content creators who want to automate tasks using Claude Desktop.", "useCases": [ "Automating social media post generation for fitness content", "Creating workout scripts and schedules through Claude", "Integrating fitness data management with desktop AI assistants" ], "pros": [ "Open-source and Python-based, easy to modify or extend", "Leverages Claude Desktop's capabilities for fitness content automation", "Lightweight server that can be run locally" ], "cons": [ "No community stars or proven adoption yet", "Narrowly focused on fitness influencer workflows", "Requires Claude Desktop and familiarity with MCP setup" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "lastUpdated": "2026-01-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/MarceauSolutions/fitness-influencer-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/marceausolutions-fitness-influencer-mcp" }, { "slug": "marceausolutions-amazon-seller-mcp", "name": "MarceauSolutions/amazon-seller-mcp", "vendor": "Various", "tagline": "Amazon Seller Central operations via SP-API - MCP server for Claude Desktop", "description": "MCP server that connects Claude Desktop to Amazon Seller Central via the Amazon Selling Partner API (SP-API). It enables AI-driven management of seller operations such as listings, inventory, and order retrieval directly from the chat interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Amazon sellers who use Claude Desktop and want to automate account management tasks via conversational AI", "useCases": [ "Automating product listing updates and inventory checks", "Retrieving and summarizing order details from Seller Central", "Querying account metrics or performance reports via SP-API" ], "pros": [ "Open source and customizable to fit specific seller workflows", "Leverages official SP-API for reliable authorization and data access", "Integrates seamlessly with Claude Desktop for natural language interaction" ], "cons": [ "Requires manual configuration of SP-API credentials and AWS IAM roles", "Limited to the subset of SP-API operations exposed through the MCP protocol", "May require updates when Amazon revises the Selling Partner API" ], "tags": [], "featured": false, "tier": "curated", "stars": 4, "language": [ "Python" ], "lastUpdated": "2026-01-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/MarceauSolutions/amazon-seller-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "pipedreamhq-pipedream", "agent-infra-mcp-server-browser", "sooperset-mcp-atlassian" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/marceausolutions-amazon-seller-mcp" }, { "slug": "marceausolutions-hvac-quotes-mcp", "name": "MarceauSolutions/hvac-quotes-mcp", "vendor": "Various", "tagline": "HVAC equipment RFQ management for contractors - MCP server for Claude Desktop", "description": "An MCP server for Claude Desktop that manages HVAC equipment requests for quotes. It helps contractors organize and track RFQs for HVAC parts and systems directly through the Claude interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "HVAC contractors and procurement teams using Claude Desktop for equipment quote management", "useCases": [ "Submit and track HVAC equipment RFQs from contractors", "Organize quotes for HVAC parts and systems in Claude Desktop", "Manage vendor responses for HVAC procurement workflows" ], "pros": [ "Integrates RFQ management directly into Claude Desktop", "Simple Python-based MCP server for easy setup", "Targets a specific niche need for HVAC contractors" ], "cons": [ "Very early stage with only 1 star and limited community adoption", "Requires Claude Desktop and MCP setup to use", "Narrow focus may not be useful outside HVAC procurement" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "lastUpdated": "2026-01-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/MarceauSolutions/hvac-quotes-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "eyaltoledano-claude-task-master", "sooperset-mcp-atlassian" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/marceausolutions-hvac-quotes-mcp" }, { "slug": "marceausolutions-md-to-pdf-mcp", "name": "MarceauSolutions/md-to-pdf-mcp", "vendor": "Various", "tagline": "Convert Markdown to professional PDFs with customizable themes - MCP server for Claude Desktop", "description": "A Python-based MCP server that lets Claude Desktop convert Markdown files into professional PDFs with customizable themes. It processes Markdown input through the Model Context Protocol to generate styled PDF documents.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and writers using Claude Desktop who need to produce formatted PDFs from Markdown content", "useCases": [ "Generate polished PDF reports from Markdown notes in Claude Desktop", "Create themed documentation exports with consistent formatting", "Transform Markdown drafts into shareable PDF deliverables without manual conversion" ], "pros": [ "Integrates directly with Claude Desktop for seamless workflow", "Supports customizable themes for consistent output styling", "Lightweight Python implementation with low overhead" ], "cons": [ "Requires Claude Desktop and MCP setup, limiting portability", "Tightly coupled to a specific desktop environment", "Small open-source project with limited community support and documentation" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "Python" ], "lastUpdated": "2026-01-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/MarceauSolutions/md-to-pdf-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "microsoft-markitdown" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/marceausolutions-md-to-pdf-mcp" }, { "slug": "marceausolutions-rideshare-comparison-mcp", "name": "MarceauSolutions/rideshare-comparison-mcp", "vendor": "Various", "tagline": "Compare Uber and Lyft prices for any route - MCP server for Claude Desktop", "description": "An MCP server that lets Claude Desktop compare Uber and Lyft prices for a given route. It queries both ride-hailing APIs and returns fare estimates side by side.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to add ride price comparisons to their Claude Desktop workflows", "useCases": [ "Ask Claude to find the cheapest ride between two addresses", "Compare Uber and Lyft prices in a single conversation", "Automate ride cost checks via Claude Desktop" ], "pros": [ "Simple, focused tool for a common comparison task", "Works directly inside Claude Desktop without extra setup", "Open source and easy to inspect or modify" ], "cons": [ "Requires API keys for both Uber and Lyft to function", "Only 1 star on GitHub, indicating very limited community use or testing", "No active maintenance or updates visible" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "lastUpdated": "2026-01-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/MarceauSolutions/rideshare-comparison-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/marceausolutions-rideshare-comparison-mcp" }, { "slug": "marcelroozekrans-roslyn-codelens-mcp", "name": "MarcelRoozekrans/roslyn-codelens-mcp", "vendor": "Various", "tagline": "Roslyn-based MCP server providing semantic code intelligence for .NET codebases — type hierarchies, call sites, DI registrations, and reflection usage for Claude Code", "description": "A Roslyn-based MCP server that provides semantic code intelligence for .NET codebases. It exposes type hierarchies, call sites, dependency injection registrations, and reflection usage through the Model Context Protocol for use with Claude Code.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers working with .NET codebases who want semantic code understanding via Claude Code", "useCases": [ "Navigating type hierarchies in large .NET projects", "Finding all call sites of a specific method", "Auditing DI registrations and reflection usage across a solution" ], "pros": [ "Leverages Roslyn for deep semantic analysis beyond text search", "Integrates with Claude Code for natural language code queries", "Covers specific .NET concerns like DI and reflection" ], "cons": [ "Low star count (13) indicates limited community adoption", "Only works with .NET codebases and requires Roslyn", "Depends on Claude Code for the client interaction" ], "tags": [ "claude-code", "code-analysis", "dotnet", "mcp", "roslyn" ], "featured": false, "tier": "curated", "stars": 13, "language": [ "C#" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/MarcelRoozekrans/roslyn-codelens-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/marcelroozekrans-roslyn-codelens-mcp" }, { "slug": "marcindudekdev-crypto-signals-mcp", "name": "MarcinDudekDev/crypto-signals-mcp", "vendor": "Various", "tagline": "MCP server for real-time crypto volume anomaly detection across 50+ tokens. Detects unusual trading activity, whale movements, and pump signals.", "description": "An MCP server for real-time cryptocurrency volume anomaly detection across 50+ tokens. It identifies unusual trading activity, whale movements, and pump signals. Built in Python.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building crypto trading bots or monitoring dashboards who need automated volume alerts", "useCases": [ "Detect abnormal volume spikes in real-time", "Monitor for whale transactions that may signal market moves", "Identify potential pump signals before price changes" ], "pros": [ "Covers 50+ tokens for broad market surveillance", "Real-time detection helps catch rapid trading events", "Open-source Python implementation allows customization" ], "cons": [ "Zero GitHub stars indicates limited community feedback or validation", "Requires running an MCP server and potentially external data sources", "Anomaly detection may produce false positives without tuning" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "lastUpdated": "2026-03-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/MarcinDudekDev/crypto-signals-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/marcindudekdev-crypto-signals-mcp" }, { "slug": "marcelmarais-spotify", "name": "marcelmarais/Spotify", "vendor": "Various", "tagline": "Lightweight MCP server for Spotify", "description": "A lightweight MCP server that exposes Spotify playback controls and library data through the Model Context Protocol. It lets AI agents query and control a user's Spotify account, such as playing tracks or fetching playlists, using TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to control or query a user's Spotify account", "useCases": [ "Control Spotify playback from an AI assistant", "Search and retrieve user playlists or saved tracks", "Integrate music context into agent workflows" ], "pros": [ "Simple setup with minimal dependencies", "Directly leverages Spotify's official Web API", "Active open-source project with 359 stars" ], "cons": [ "Requires user authentication and Spotify Premium for playback", "Limited to Spotify's API capabilities (no offline or local files)", "No built-in rate limiting or caching for high-frequency requests" ], "tags": [], "featured": false, "tier": "curated", "stars": 359, "language": [ "TypeScript" ], "lastUpdated": "2026-05-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/marcelmarais/spotify-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "klavis-ai-youtube", "lharries-whatsapp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/marcelmarais-spotify" }, { "slug": "marcelroozekrans-memorylens-mcp", "name": "MarcelRoozekrans/memorylens-mcp", "vendor": "Various", "tagline": "MCP server for .NET memory profiling with AI-actionable code fix suggestions, powered by JetBrains dotMemory", "description": "An MCP server that integrates JetBrains dotMemory profiling with AI assistants to analyze .NET memory usage and suggest code fixes. It exposes memory profiling data through the Model Context Protocol, enabling AI tools to provide actionable recommendations for memory leaks and optimization.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using AI coding assistants who need automated .NET memory leak detection and fix suggestions", "useCases": [ "Debug memory leaks in .NET applications via AI-assisted analysis", "Optimize memory usage by receiving code fix suggestions from profiling data", "Integrate .NET memory profiling into AI-powered development workflows" ], "pros": [ "Leverages JetBrains dotMemory for reliable profiling data", "Provides AI-actionable code fix suggestions directly from memory analysis", "Open-source and extensible via the MCP protocol" ], "cons": [ "Requires a commercial JetBrains dotMemory license", "Low community adoption (3 stars) and limited documentation", "Dependent on MCP-compatible AI assistants for full functionality" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "C#" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/MarcelRoozekrans/memorylens-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/marcelroozekrans-memorylens-mcp" }, { "slug": "marcindudekdev-the-data-collector", "name": "MarcinDudekDev/the-data-collector", "vendor": "Various", "tagline": "HN, Bluesky, Substack scraping MCP server with x402 micropayments", "description": "An MCP server that scrapes content from Hacker News, Bluesky, and Substack. It integrates x402 micropayments for access control. Written in Python.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based tools that need structured data from HN, Bluesky, or Substack.", "useCases": [ "Collecting posts and comments from Hacker News via MCP", "Scraping Bluesky feeds for analysis or archiving", "Extracting Substack articles with micropayment-based access" ], "pros": [ "Targets three popular content platforms in one tool", "Uses the MCP protocol for integration with compatible clients", "Open source and written in Python" ], "cons": [ "Zero stars indicates limited community adoption or testing", "Scraping depends on platform stability and may break without notice", "Micropayment integration adds complexity for simple use cases" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "lastUpdated": "2026-03-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/MarcinDudekDev/the-data-collector", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/marcindudekdev-the-data-collector" }, { "slug": "mariocandela-beelzebub", "name": "mariocandela/beelzebub", "vendor": "Various", "tagline": "A secure low code deception runtime framework, leveraging AI for System Virtualization.", "description": "Beelzebub is a low-code deception framework written in Go. It uses AI to virtualize realistic system decoys for detecting and analyzing attacker behavior. The tool automates deployment of fake services to lure and monitor intrusions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Security teams and red teams needing quick, AI-assisted honeypot deployments", "useCases": [ "Deploy virtualized honeypots to catch reconnaissance", "Simulate vulnerable systems for security training", "Generate realistic decoy endpoints without manual configuration" ], "pros": [ "Low-code approach reduces setup time for deception labs", "Written in Go, offering good performance and concurrency", "Open source with an active community (2029 stars)" ], "cons": [ "AI virtualization may introduce latency or inaccurate behavior", "Limited flexibility for highly custom decoy scenarios", "Narrow focus on deception, not a general security tool" ], "tags": [ "acis", "agentic-ai-security", "cloudnative", "cloudsecurity", "cybersecurity", "deception", "decoys", "framework" ], "featured": false, "tier": "curated", "stars": 2029, "language": [ "Go" ], "license": "GPL-3.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/mariocandela/beelzebub", "relations": { "works_in": [], "uses": [ "docker" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mariocandela-beelzebub" }, { "slug": "marin1321-mcp-devtools", "name": "marin1321/mcp-devtools", "vendor": "Various", "tagline": "AI-native developer tools via MCP — filesystem, databases, processes and OpenAPI for any MCP-compatible agent", "description": "A set of MCP servers that give AI agents filesystem, database, process, and OpenAPI access. Each tool is a standalone server that any MCP-compatible agent can call to interact with local or remote developer resources.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with MCP who want ready-made servers for files, databases, and processes.", "useCases": [ "Let an AI agent read and write files in a project directory", "Execute database queries or run shell commands through an agent", "Expose custom APIs to an agent via OpenAPI-based MCP servers" ], "pros": [ "Modular design lets you pick only the tools you need", "Works with any MCP-compatible agent, not tied to one vendor", "Covers common developer workflows out of the box" ], "cons": [ "Very early stage with only 2 GitHub stars and minimal community", "No documentation beyond the repository README", "Security implications of giving agents filesystem and process access are not addressed" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/marin1321/mcp-devtools", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "idosal-git-mcp", "wonderwhy-er-desktopcommandermcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/marin1321-mcp-devtools" }, { "slug": "mariusaure-needhuman-mcp", "name": "MariusAure/needhuman-mcp", "vendor": "Various", "tagline": "Human-as-a-Service MCP server for AI agents. When your agent needs a real human (accept ToS, create accounts, verify identity), POST a task and a person handles it. 3 free tasks.", "description": "A Human-as-a-Service MCP server that lets AI agents delegate tasks requiring human intervention, such as accepting terms of service, creating accounts, or verifying identity. Agents send a POST request with the task details, and a real person completes it. The service offers 3 free tasks to start.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to occasionally pass tasks requiring human judgment or action", "useCases": [ "Offloading account creation or ToS acceptance to a human when automating fails", "Handling identity verification steps that an AI agent cannot complete alone", "Testing or prototyping agent workflows that require occasional human input" ], "pros": [ "Simple API for agents to request human help without building custom infrastructure", "Free tier allows low-risk evaluation of the service", "Directly solves the common problem of agents hitting human-only steps" ], "cons": [ "Dependent on external human availability, introducing latency and potential unreliability", "No pricing details beyond the free tier, making cost estimation difficult", "Limited to tasks a remote human can perform via a browser or interface" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/MariusAure/needhuman-mcp", "relations": { "works_in": [ "anthropic-computer-use", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mariusaure-needhuman-mcp" }, { "slug": "mark3labs-mcp-filesystem-server", "name": "mark3labs/mcp-filesystem-server", "vendor": "Various", "tagline": "Go server implementing Model Context Protocol (MCP) for filesystem operations.", "description": "A Go-based server that implements the Model Context Protocol (MCP) to expose filesystem operations as tools for AI agents. It allows AI models to read, write, list, and modify files and directories through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need direct filesystem interaction", "useCases": [ "Enabling LLM agents to read and write local files", "Providing file search and directory listing for AI workflows", "Integrating file management into MCP-compatible assistant tools" ], "pros": [ "Lightweight Go server with minimal dependencies", "Standard MCP interface ensures broad compatibility", "Supports essential filesystem operations out of the box" ], "cons": [ "Requires running a separate server process on the host", "No built-in authentication or access control", "Limited to local filesystem; no remote or cloud storage support" ], "tags": [], "featured": false, "tier": "curated", "stars": 646, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2025-11-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/mark3labs/mcp-filesystem-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "browsermcp-mcp", "microsoft-markitdown" ], "alternative_to": [ "wonderwhy-er-desktopcommandermcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mark3labs-mcp-filesystem-server" }, { "slug": "marketplaceadpros-amazon-ads-mcp-server", "name": "marketplaceadpros/amazon-ads-mcp-server", "vendor": "Various", "tagline": "MCP Server to interact with Amazon Ads", "description": "This MCP server provides a standardized interface for AI agents to interact with Amazon Ads via the Model Context Protocol. It wraps Amazon Ads API operations into MCP tools, allowing agents to manage campaigns, ad groups, and performance data.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based AI agents that need to automate Amazon Ads workflows", "useCases": [ "Automate Amazon Ads campaign creation and management through AI agents", "Retrieve ad performance metrics and reports for analysis", "Adjust bids and budgets programmatically via MCP-compatible clients" ], "pros": [ "Leverages the MCP standard for easy integration with MCP-compatible AI agents", "Written in JavaScript, accessible to Node.js developers", "Provides direct, scriptable access to Amazon Ads API operations" ], "cons": [ "Low GitHub star count (24) indicating limited community adoption or newness", "Requires Amazon Ads API credentials and understanding of their API", "Potential lack of extensive documentation or support beyond the repository" ], "tags": [], "featured": false, "tier": "curated", "stars": 24, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2025-05-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/MarketplaceAdPros/amazon-ads-mcp-server", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/marketplaceadpros-amazon-ads-mcp-server" }, { "slug": "markgatcha-universal-mcp-toolkit", "name": "Markgatcha/universal-mcp-toolkit", "vendor": "Various", "tagline": "The canonical open-source monorepo for production-ready MCP servers.", "description": "A monorepo containing multiple MCP server implementations in TypeScript. It aims to provide production-ready servers for the Model Context Protocol. The project is open-source and maintained by various contributors.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP servers in TypeScript who want a starting point", "useCases": [ "Building MCP servers for AI tool integration", "Deploying standardized MCP endpoints", "Exploring reference implementations of MCP servers" ], "pros": [ "TypeScript codebase for type safety", "Monorepo structure for easy dependency management", "Open-source with community contributions" ], "cons": [ "Low star count indicates limited adoption or maturity", "Documentation may be sparse given early stage", "Monorepo can be complex for simple use cases" ], "tags": [ "ai", "ai-agent", "ai-tools", "bun", "claude", "cli", "cursor", "developer-tools" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-09", "addedAt": "2026-06-01", "officialLink": "https://github.com/Markgatcha/universal-mcp-toolkit", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp", "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/markgatcha-universal-mcp-toolkit" }, { "slug": "markmhendrickson-neotoma", "name": "markmhendrickson/neotoma", "vendor": "Various", "tagline": "Your agents forget. Neotoma makes them remember.", "description": "Neotoma provides memory for AI agents, preventing them from forgetting between interactions. The repository is written in HTML, indicating a simple implementation or demonstration. It solves the problem of context loss in agent workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building experimental agents that need basic memory", "useCases": [ "Adding persistent memory to AI agents", "Preventing agent context loss across conversations", "Storing and recalling agent experiences" ], "pros": [ "Focused on a single clear problem: agent memory", "Simple codebase easy to understand and modify", "Low overhead, suitable for experimentation" ], "cons": [ "Very small community with only 24 stars", "Limited documentation and features", "May not be production-ready or actively maintained" ], "tags": [ "agent-infrastructure", "agent-memory", "ai-agents", "deterministic-state", "entity-resolution", "event-sourcing", "mcp", "privacy-first" ], "featured": false, "tier": "curated", "stars": 24, "language": [ "HTML" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/markmhendrickson/neotoma", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "topoteretes-cognee", "upstash-context7" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/markmhendrickson-neotoma" }, { "slug": "markmircea-selenix-mcp-server", "name": "markmircea/Selenix-MCP-Server", "vendor": "Various", "tagline": "MCP server that bridges Claude Desktop (or any other local app supporting MCP) with Selenix for browser automation and testing. Enables creating, running, debugging, and managing b", "description": "An MCP server that connects Claude Desktop or any MCP-compatible application to Selenix for browser automation and testing. It enables users to create, run, debug, and manage browser automation tests using natural language commands.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude Desktop who need to control Selenix browser tests via natural language", "useCases": [ "Create browser tests by describing steps in natural language", "Run and debug Selenix test suites from a conversational interface", "Manage browser automation workflows through Claude Desktop" ], "pros": [ "Provides a natural language interface to Selenix browser automation", "Works with any MCP-compatible client, not just Claude Desktop", "Open source and written in TypeScript for type safety" ], "cons": [ "New project with no stars, indicating limited community validation", "Requires Selenix to be installed and configured separately", "Only functions with MCP-compatible applications" ], "tags": [ "automation", "browser", "mcp", "mcp-server", "selenium", "selenium-webdriver", "selenix" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-03-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/markmircea/Selenix-MCP-Server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "agent-infra-mcp-server-browser", "browsermcp-mcp", "executeautomation-playwright-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/markmircea-selenix-mcp-server" }, { "slug": "markpdxt-dronelytics-mcp", "name": "markpdxt/dronelytics-mcp", "vendor": "Various", "tagline": "MCP server for US drone airspace intelligence and mission planning — 24 tools for airspace queries, mission generation, Part 107 compliance, and flight plan export", "description": "An MCP server that provides 24 tools for US drone airspace intelligence and mission planning. It enables airspace queries, mission generation, Part 107 compliance checks, and flight plan export. The server is packaged as a Dockerfile and integrates with MCP-compatible hosts.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-connected drone planning and compliance applications", "useCases": [ "Querying airspace restrictions and zones for US drone operations", "Generating drone mission plans with automated waypoints and parameters", "Checking drone flight plans against Part 107 regulatory requirements" ], "pros": [ "Offers a large set of 24 specialized tools for drone operations", "Covers airspace intelligence, mission planning, and compliance in one server", "Standard MCP protocol enables easy integration with LLM agents and hosts" ], "cons": [ "Limited to US airspace intelligence and regulations only", "Requires a Docker runtime and MCP host infrastructure to use", "New project with no stars or community momentum yet" ], "tags": [ "airspace", "drone", "faa", "mcp", "mcp-server", "mission-planning", "part107" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Dockerfile" ], "license": "MIT", "lastUpdated": "2026-04-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/markpdxt/dronelytics-mcp", "relations": { "works_in": [], "uses": [ "docker" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/markpdxt-dronelytics-mcp" }, { "slug": "markuspfundstein-mcp-gsuite", "name": "MarkusPfundstein/mcp-gsuite", "vendor": "Various", "tagline": "MCP Server to interact with Google Gsuite prodcuts", "description": "An open-source MCP (Model Context Protocol) server that enables AI agents to interact with Google GSuite products. It is written in Python and exposes tools for common Google Workspace operations such as reading emails, managing calendar events, and accessing Drive files.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to give AI agents direct access to Google Workspace data and actions", "useCases": [ "Automate email responses and inbox management via Gmail API", "Create, read, and update Google Calendar events programmatically", "Search and retrieve documents and files from Google Drive" ], "pros": [ "Simple integration with any MCP-compatible AI client", "Written in Python, easy to extend or customize", "Active open-source project with a sizable community (484 stars)" ], "cons": [ "Requires manual Google Cloud project setup and OAuth consent", "Scope limited to Google Workspace APIs that the server exposes", "OAuth token refresh and permission management can be complex" ], "tags": [], "featured": false, "tier": "curated", "stars": 484, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-04-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/MarkusPfundstein/mcp-gsuite", "relations": { "works_in": [ "cursor", "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/markuspfundstein-mcp-gsuite" }, { "slug": "marlinjai-email-mcp", "name": "marlinjai/email-mcp", "vendor": "Various", "tagline": "Unified MCP server for email access across Gmail, Outlook, iCloud, and IMAP", "description": "A TypeScript-based Model Context Protocol server that provides a unified interface for email access across Gmail, Outlook, iCloud, and IMAP. It allows AI agents to interact with multiple email providers through a single MCP endpoint.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers prototyping MCP-based email agents who need a unified abstraction", "useCases": [ "Connecting AI assistants to read and send emails from multiple providers", "Automating email-based workflows like triage or filtering", "Integrating email functionality into MCP-compatible agent frameworks" ], "pros": [ "Single API for multiple email backends reduces integration effort", "Written in TypeScript for type safety and broad ecosystem compatibility", "Open source with permissive license for customization" ], "cons": [ "Very early project (13 stars) with minimal community or documentation", "No clear testing or security audit for production use", "Relies on third-party IMAP/OAuth configurations which can be complex" ], "tags": [], "featured": false, "tier": "curated", "stars": 13, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/marlinjai/email-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "elie222-inbox-zero", "lharries-whatsapp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/marlinjai-email-mcp" }, { "slug": "marras0914-agent-toolbelt", "name": "marras0914/agent-toolbelt", "vendor": "Various", "tagline": "marras0914/agent-toolbelt — indexed from awesome-mcp-servers-punkpeye", "description": "An open-source JavaScript repository providing a collection of tool servers for AI agents, indexed in the awesome-mcp-servers list. It offers modular components for agent tooling that follow the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring MCP servers for AI agent tooling", "useCases": [ "Integrating tool servers into AI agent workflows", "Building custom MCP-compatible agent tools", "Prototyping agent functionality with JavaScript" ], "pros": [ "Listed in the awesome-mcp-servers index for discoverability", "Written in JavaScript for broad accessibility", "Modular design allows selective use of components" ], "cons": [ "No stars or community activity indicates early stage project", "Limited documentation or examples may hinder adoption", "Dependency on MCP protocol may require additional setup" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "lastUpdated": "2026-05-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/marras0914/agent-toolbelt", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "awslabs-mcp", "fastmcp", "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/marras0914-agent-toolbelt" }, { "slug": "martingeidobler-android-mcp-server", "name": "martingeidobler/android-mcp-server", "vendor": "Various", "tagline": "MCP server for controlling Android emulators via ADB — screenshots, UI interaction, logcat, and bug documentation for Claude Code", "description": "An MCP server that controls Android emulators via ADB. It captures screenshots, performs UI interactions, retrieves logcat output, and documents bugs. Designed to work with Claude Code for AI-assisted debugging.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude Code for Android emulator testing and debugging", "useCases": [ "Capturing screenshots from an Android emulator", "Performing UI interactions on an emulator via ADB", "Collecting logcat output for debugging" ], "pros": [ "Integrates with Claude Code for AI-assisted debugging", "Provides direct ADB control for emulator automation", "Open source and written in TypeScript" ], "cons": [ "Requires ADB and a running Android emulator", "Only works with Claude Code as the MCP client", "Small community with limited documentation" ], "tags": [], "featured": false, "tier": "curated", "stars": 43, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/martingeidobler/android-mcp-server", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/martingeidobler-android-mcp-server" }, { "slug": "martinqi826-dida-mcp", "name": "Martinqi826/dida-mcp", "vendor": "Various", "tagline": "滴答清单 (Dida365/TickTick) MCP Server - 让 AI 助手控制你的滴答清单 | For OpenClaw, Claude Desktop & any MCP client", "description": "An MCP server that connects Dida365/TickTick task management to AI assistants via the Model Context Protocol. It exposes task operations as tools for MCP clients like OpenClaw and Claude Desktop, enabling AI-driven control of to-do lists.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want AI assistants to control their Dida365/TickTick tasks", "useCases": [ "Automate task creation and updates from AI conversations", "Manage Dida365/TickTick lists through Claude Desktop", "Integrate task management into custom MCP workflows" ], "pros": [ "Open source and Python-based for easy customization", "Works with any MCP-compatible client", "Direct integration with a popular task management service" ], "cons": [ "Small community (8 stars) may limit support and updates", "Requires setup and configuration of the MCP server", "Depends on Dida365/TickTick API availability and rate limits" ], "tags": [ "ai", "dida365", "mcp", "mcp-server", "openclaw", "productivity", "python", "task-management" ], "featured": false, "tier": "curated", "stars": 8, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/Martinqi826/dida-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "eyaltoledano-claude-task-master" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/martinqi826-dida-mcp" }, { "slug": "marucie-authbox", "name": "MARUCIE/authbox", "vendor": "Various", "tagline": "Your keys. Your identity. Unstoppable. -- Seed-phrase password manager with AI agent gateway.", "description": "A seed-phrase password manager with an AI agent gateway. Built in HTML, it allows users to manage credentials and identities using seed phrases while providing a gateway for AI agent interactions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with seed-phrase identity management and AI agent gateways", "useCases": [ "Manage passwords and keys using seed phrases for self-custody", "Integrate AI agents with access to user identity credentials", "Experiment with seed-phrase based authentication systems" ], "pros": [ "Simple HTML-based interface lowers the barrier to entry", "Seed-phrase approach aligns with self-sovereign identity principles", "Provides a built-in gateway for connecting AI agents" ], "cons": [ "Very early stage with only 1 star and minimal community traction", "Limited documentation and support due to low adoption", "HTML-only implementation may restrict integration and scalability" ], "tags": [ "ai-agent", "encryption", "golang", "mcp", "password-manager", "seed-phrase", "srp", "typescript" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "HTML" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/MARUCIE/authbox", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/marucie-authbox" }, { "slug": "marykovziridze-screaming-frog-mcp", "name": "marykovziridze/screaming-frog-mcp", "vendor": "Various", "tagline": "MCP server for Screaming Frog SEO Spider — headless crawls, data export, and a technical SEO scan skill for Claude. Patched for cross-platform support (Mac + Windows).", "description": "An MCP server that connects Claude to Screaming Frog SEO Spider for headless website crawling, data export, and technical SEO analysis. It runs on Mac and Windows via a Python-based patched implementation.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and SEOs who want to automate technical SEO audits via Claude", "useCases": [ "Run automated SEO audits by asking Claude to crawl a site and export results", "Extract technical SEO data like broken links or redirects without manual Screaming Frog interaction", "Integrate SEO crawl analysis into an AI-assisted workflow for debugging or reporting" ], "pros": [ "Enables headless operation of Screaming Frog for automation", "Cross-platform support for both Mac and Windows", "Lets Claude perform technical SEO scans directly" ], "cons": [ "Requires Screaming Frog SEO Spider to be installed separately", "Limited to the features exposed by the MCP server, not full Screaming Frog functionality", "No active maintenance or community updates (0 stars)" ], "tags": [ "claude", "claude-code", "mcp", "mcp-server", "python", "screaming-frog", "seo", "seo-audit" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/marykovziridze/screaming-frog-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "claude-code" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/marykovziridze-screaming-frog-mcp" }, { "slug": "mastadoonprime-sylex-search", "name": "MastadoonPrime/sylex-search", "vendor": "Various", "tagline": "Universal search engine for AI agents. Discover products, services, and businesses across every category via MCP.", "description": "Sylex-search is a universal search engine for AI agents that discovers products, services, and businesses across categories. It uses the Model Context Protocol (MCP) to integrate with agent workflows. The tool is written in Python and available as open source.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with MCP-based agent search who need a lightweight, open-source query layer", "useCases": [ "Enable an AI agent to find and retrieve product listings across multiple categories", "Build a service discovery layer for autonomous business research", "Provide real-time search results for an MCP-compatible agent pipeline" ], "pros": [ "Open source and written in Python, easy to audit and extend", "Designed specifically for agent integration via MCP, not a general web scraper", "Aims to cover all categories in a single query interface" ], "cons": [ "Very low community adoption (3 GitHub stars) suggests limited reliability and testing", "Depends on MCP, which is still a niche protocol not widely used by most agent frameworks", "Actual search coverage and data freshness are unverified due to minimal documentation" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "Python" ], "license": "AGPL-3.0", "lastUpdated": "2026-04-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/MastadoonPrime/sylex-search", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "exa-labs-exa-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mastadoonprime-sylex-search" }, { "slug": "masondelan-selvedge", "name": "masondelan/selvedge", "vendor": "Various", "tagline": "Long-term memory for AI-coded codebases. A git blame for AI agents — but for the why. MCP server that captures the agent's reasoning live, in context, as each change is made. Local", "description": "Selvedge is an MCP server that records an AI agent's reasoning as it makes changes to a codebase, storing the rationale in a local SQLite database. It functions like a git blame for AI edits, capturing the why behind each modification without external dependencies.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using AI coding agents who need to track and review the rationale behind automated changes.", "useCases": [ "Audit why an AI agent made a specific code change", "Trace the reasoning behind past AI-driven modifications", "Maintain a live log of agent decisions during development" ], "pros": [ "Zero external dependencies, runs locally with SQLite", "Captures reasoning in real time as changes are made", "Provides a clear audit trail for AI-generated code" ], "cons": [ "Limited to MCP-compatible AI agents and workflows", "Requires manual setup to integrate with existing projects", "No built-in support for non-AI or manual code changes" ], "tags": [ "agent-trace", "ai-agent-reasoning", "ai-agents", "ai-code-provenance", "ai-codebase-memory", "ai-coding", "claude-code", "codebase-change-tracking" ], "featured": false, "tier": "curated", "stars": 8, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/masondelan/selvedge", "relations": { "works_in": [], "uses": [], "built_with": [ "awslabs-mcp" ], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/masondelan-selvedge" }, { "slug": "matbel91765-gis-mcp-server", "name": "matbel91765/gis-mcp-server", "vendor": "Various", "tagline": "🐍 🏠 🍎 🪟 🐧 - Geospatial tools for AI agents: geocoding, routing, elevation, spatial analysis, and file I/O (Shapefile, GeoJSON, GeoPackage)", "description": "An open-source MCP server providing geospatial tools for AI agents. It supports geocoding, routing, elevation queries, spatial analysis, and file I/O for Shapefile, GeoJSON, and GeoPackage formats. Built in Python, it integrates with AI agent workflows via the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need basic geospatial analysis and file handling capabilities", "useCases": [ "Geocode addresses for location enrichment in agent responses", "Calculate routes or elevation profiles for spatial reasoning tasks", "Read and write geospatial files to process GIS data" ], "pros": [ "Offers a wide range of geospatial operations in a single server", "Uses standard MCP protocol for easy integration with AI agents", "Open source with permissive licensing, allowing customization" ], "cons": [ "Low community adoption (3 stars) suggests limited testing and support", "Python-only dependency may restrict deployment environments", "Documentation and examples are minimal, requiring self-guided setup" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-12-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/matbel91765/gis-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mickaelkerjean-filestash" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/matbel91765-gis-mcp-server" }, { "slug": "matiouscorp-google-ad-manager-mcp", "name": "MatiousCorp/google-ad-manager-mcp", "vendor": "Various", "tagline": "MCP server for Google Ad Manager. Manage ad campaigns, orders, line items, and creatives through AI assistants like Claude, ChatGPT, Gemini, Cursor, and VS Code. Automate your ad o", "description": "An MCP server that connects AI assistants to Google Ad Manager. It lets users manage ad campaigns, orders, line items, and creatives through natural language commands instead of the GAM web UI. Built in Python by Matious.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Ad operations teams who want to automate Google Ad Manager tasks using AI assistants", "useCases": [ "Automating ad campaign creation and management", "Bulk editing line items via natural language", "Pulling performance reports through chat" ], "pros": [ "Reduces time spent navigating the GAM UI", "Works with Claude, ChatGPT, Gemini, Cursor, and VS Code", "Open source and Python-based for easy customization" ], "cons": [ "Requires setup of MCP server and API credentials", "Limited to operations available in Google Ad Manager API", "Small community (15 stars) may mean less support and fewer examples" ], "tags": [ "ad-tech", "advertising", "ai-tools", "anthropic", "automation", "chatgpt", "claude", "gam" ], "featured": false, "tier": "curated", "stars": 15, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/MatiousCorp/google-ad-manager-mcp", "relations": { "works_in": [ "cursor", "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/matiouscorp-google-ad-manager-mcp" }, { "slug": "mattbusel-reddit-options-trader-rot", "name": "Mattbusel/Reddit-Options-Trader-ROT-", "vendor": "Various", "tagline": "A modular research pipeline that turns trending Reddit discussions into structured market events and options trade ideas.", "description": "A modular research pipeline in Python that processes trending Reddit discussions, extracts structured market events, and generates options trade ideas. It allows developers to plug in data sources and analysis modules to create custom trading signals.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring sentiment-driven options trading with Python", "useCases": [ "Monitor Reddit communities for stock and options sentiment shifts", "Generate structured trade ideas from unstructured discussion threads", "Build and backtest custom strategies using the modular pipeline" ], "pros": [ "Modular architecture makes it easy to extend or replace components", "Python-based, fitting into standard data science workflows", "Open source with clear input/output points for integration" ], "cons": [ "Small community (10 stars) may mean limited support and updates", "Requires significant customization to produce actionable trades", "No built-in backtesting or risk management tools" ], "tags": [ "finance", "nlp", "options-trading", "python", "reddit", "signals" ], "featured": false, "tier": "curated", "stars": 10, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/Mattbusel/Reddit-Options-Trader-ROT-", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mattbusel-reddit-options-trader-rot" }, { "slug": "mattjeff-orizn-mcp-server", "name": "MattJeff/orizn-mcp-server", "vendor": "Various", "tagline": "MCP server for Orizn Visa API — visa requirements for 39,585 passport-destination pairs in 15 languages", "description": "An MCP server that wraps the Orizn Visa API to check visa requirements for 39,585 passport-destination pairs in 15 languages. It exposes a tool for querying visa rules by passport country and destination country.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building travel tools that need visa requirement lookups", "useCases": [ "Embed visa requirement checks into travel planning assistants", "Build multilingual travel advisory chatbots", "Automate visa policy lookups for itinerary generation" ], "pros": [ "Covers a large number of passport-destination pairs", "Supports 15 languages for broad international use", "Simple MCP interface for easy integration" ], "cons": [ "No stars or community adoption yet", "Depends on the Orizn Visa API, which may have rate limits or costs", "Limited to visa requirements only, no other travel data" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/MattJeff/orizn-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mattjeff-orizn-mcp-server" }, { "slug": "mattijsdp-dbt-docs-mcp", "name": "mattijsdp/dbt-docs-mcp", "vendor": "Various", "tagline": "MCP (model context protocol) server for interacting with dbt Docs", "description": "An MCP server that enables interaction with dbt Docs through the Model Context Protocol. It allows MCP clients to query and explore dbt documentation programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using dbt who want to query their documentation through MCP-compatible assistants or tools", "useCases": [ "Querying dbt model metadata and lineage from documentation", "Integrating dbt Docs into AI-assisted development workflows", "Automating documentation lookups via MCP-compatible tools" ], "pros": [ "Leverages the standard MCP protocol for broad compatibility", "Lightweight Python implementation easy to extend", "Directly connects to existing dbt Docs output" ], "cons": [ "Small community and limited adoption (23 stars)", "Requires a running MCP client to be useful", "Documentation and examples may be sparse" ], "tags": [], "featured": false, "tier": "curated", "stars": 23, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-08-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/mattijsdp/dbt-docs-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mattijsdp-dbt-docs-mcp" }, { "slug": "mattjoyce-mcp-persona-sessions", "name": "mattjoyce/mcp-persona-sessions", "vendor": "Various", "tagline": "MCP server for persona-driven AI sessions: practice interviews, conduct guided reflection, and role-play conversations with realistic personas", "description": "An MCP server that enables persona-driven AI sessions. It lets you practice interviews, conduct guided reflections, and role-play conversations with configurable personas through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need structured persona-based role-play or interview practice within MCP workflows", "useCases": [ "Simulate job interviews with custom interviewers", "Role-play difficult conversations for preparation", "Run guided reflection sessions with a coach persona" ], "pros": [ "Open source and freely customizable", "Integrates with any MCP-compatible client", "Simple Python codebase for easy modification" ], "cons": [ "Small community with only 11 stars", "Limited to persona simulations, no broader MCP features", "Requires understanding of MCP to use effectively" ], "tags": [], "featured": false, "tier": "curated", "stars": 11, "language": [ "Python" ], "license": "GPL-3.0", "lastUpdated": "2026-03-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/mattjoyce/mcp-persona-sessions", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "eyaltoledano-claude-task-master", "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mattjoyce-mcp-persona-sessions" }, { "slug": "mavdol-capsule-mcp-server", "name": "mavdol/capsule/mcp-server", "vendor": "Various", "tagline": "Secure runtime to sandbox AI agent tasks. Run untrusted code in isolated WebAssembly environments.", "description": "A secure runtime that sandboxes AI agent tasks by running untrusted code in isolated WebAssembly environments. It is implemented in Rust and integrates as an MCP server for agent workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to execute untrusted code safely", "useCases": [ "Executing untrusted code from AI agents without host compromise", "Isolating third-party plugins or user scripts in a sandbox", "Running agent-generated code in a controlled, ephemeral environment" ], "pros": [ "Strong isolation via WebAssembly sandboxing", "Memory-safe implementation in Rust reduces vulnerabilities", "Lightweight runtime suitable for agent task execution" ], "cons": [ "Limited to code that compiles to WebAssembly, excluding many native libraries", "Performance overhead compared to native execution for compute-heavy tasks", "Requires integration with an MCP-compatible agent framework" ], "tags": [ "agentic-workflow", "ai-agents", "code-execution", "code-interpreter", "javascript", "llm", "python", "rust" ], "featured": false, "tier": "curated", "stars": 288, "language": [ "Rust" ], "license": "Apache-2.0", "lastUpdated": "2026-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/mavdol/capsule/tree/main/integrations/mcp-server", "relations": { "works_in": [ "claude-code", "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mavdol-capsule-mcp-server" }, { "slug": "mattjegan-swarmia-mcp", "name": "mattjegan/swarmia-mcp", "vendor": "Various", "tagline": "A read-only local MCP server for to interact with swarmia.com", "description": "A read-only local MCP server that provides programmatic access to Swarmia, a software analytics platform. It runs locally and uses the Model Context Protocol to expose Swarmia data to MCP-compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to surface Swarmia analytics in MCP-compatible tools like AI assistants or IDEs.", "useCases": [ "Querying Swarmia metrics from AI assistants or IDEs via MCP", "Integrating Swarmia analytics into custom automation pipelines", "Retrieving team performance data without manual dashboard navigation" ], "pros": [ "Read-only design prevents accidental data mutations", "Local server gives users full control over access and security", "Leverages MCP for easy integration with many clients" ], "cons": [ "Limited to read operations; cannot create or update Swarmia data", "Depends on Swarmia's API availability and rate limits", "Low GitHub stars suggest small community and limited maintenance" ], "tags": [], "featured": false, "tier": "curated", "stars": 8, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-09-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/mattjegan/swarmia-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp", "sooperset-mcp-atlassian" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mattjegan-swarmia-mcp" }, { "slug": "maxkuminov-obsidian-mcp", "name": "maxkuminov/obsidian-mcp", "vendor": "Various", "tagline": "Self-hosted MCP server for Obsidian: semantic + full-text search, wikilink graph, note CRUD, OAuth, and a self-describing vault guide.", "description": "A self-hosted Python server that implements the Model Context Protocol for Obsidian vaults. Provides semantic and full-text search, wikilink graph traversal, note CRUD operations, and OAuth authentication via a self-describing vault guide.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to integrate Obsidian vaults with MCP-compatible AI agents while keeping data on their own infrastructure", "useCases": [ "Connect Obsidian to AI agents for context-aware task automation", "Query vault notes using semantic or full-text search from external tools", "Programmatically create, read, update, and delete Markdown notes" ], "pros": [ "Self-hosted for full data control and privacy", "Supports semantic search alongside traditional full-text search", "Includes OAuth for secure access to the vault" ], "cons": [ "Low adoption (2 GitHub stars) means limited community support and testing", "Requires self-hosting setup and ongoing maintenance", "May lack mature documentation or stability for production use" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/maxkuminov/obsidian-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp", "agent-infra-mcp-server-browser", "mediar-ai-screenpipe" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/maxkuminov-obsidian-mcp" }, { "slug": "mbailey-voice-mcp", "name": "mbailey/voice-mcp", "vendor": "Various", "tagline": "Natural voice conversations with Claude Code", "description": "mbailey/voice-mcp is a Python developer tool that adds natural voice interaction to Claude Code. It works as a Model Context Protocol (MCP) server, letting you speak commands and receive spoken responses instead of typing.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude Code who prefer or need voice interaction", "useCases": [ "Dictate coding tasks and instructions to Claude Code hands-free", "Navigate Claude Code sessions using voice commands", "Access Claude Code functionality when typing is inconvenient or inaccessible" ], "pros": [ "Provides a hands-free interface for Claude Code users", "Open source with over 1,200 stars, indicating community interest", "Written in Python, making it easy to inspect and modify" ], "cons": [ "Requires additional setup of voice recognition dependencies", "Voice recognition accuracy can vary, leading to misinterpretation", "Only works with Claude Code, not other CLI tools or AI assistants" ], "tags": [ "anthropic", "asr", "claude", "claudecode", "kokoro", "livekit", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 1201, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/mbailey/voice-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mbailey-voice-mcp" }, { "slug": "maxim-saplin-mcp-safe-local-python-executor", "name": "maxim-saplin/mcp_safe_local_python_executor", "vendor": "Various", "tagline": "Stdio MCP Server wrapping custom Python runtime (LocalPythonExecutor) from Hugging Faces' smolagents framework. The runtime combines the ease of setup (compared to docker, VM, clou", "description": "A stdio MCP server that wraps the LocalPythonExecutor from Hugging Face's smolagents framework. It provides a Python runtime that is easier to set up than Docker, VM, or cloud alternatives, while restricting allowed operations and imports to enforce safety.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need basic safe local execution of Python code in MCP-based workflows", "useCases": [ "Execute untrusted Python snippets locally without full sandboxing overhead", "Integrate safe code execution into MCP-based tools and agents", "Protect host systems by limiting imports and operations in ad-hoc scripts" ], "pros": [ "Lightweight setup compared to Docker or remote runtimes", "Built-in restrictions reduce risk from malicious or buggy code", "Leverages a proven framework from Hugging Face" ], "cons": [ "Not a full sandbox; sophisticated attacks may bypass restrictions", "Limited to a single machine; no multi-node or distributed execution", "Few stars and contributors indicate a small community" ], "tags": [], "featured": false, "tier": "curated", "stars": 44, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-07-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/maxim-saplin/mcp_safe_local_python_executor", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "pydantic-pydantic-ai-mcp-run-python" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/maxim-saplin-mcp-safe-local-python-executor" }, { "slug": "mbentham-sqlaugur", "name": "mbentham/SqlAugur", "vendor": "Various", "tagline": "MCP server providing AI assistants with safe, read-only access to SQL Server databases. AST-based query validation, rate limiting, and DBA diagnostic tooling.", "description": "An MCP server that gives AI assistants read-only access to SQL Server databases. It uses AST-based query validation and rate limiting to enforce safety, and includes DBA diagnostic tooling.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and DBAs who need to give AI assistants safe, read-only access to SQL Server databases.", "useCases": [ "Letting AI assistants query SQL Server for reporting or debugging", "Providing safe, read-only database access to non-admin users", "Running diagnostic queries against SQL Server without risk of writes" ], "pros": [ "AST-based validation prevents dangerous queries at the syntax level", "Rate limiting protects database performance from runaway requests", "Read-only design eliminates risk of accidental data modification" ], "cons": [ "Limited to SQL Server, no support for other database engines", "Requires MCP-compatible AI assistants to function", "No write capabilities, so not useful for data entry or updates" ], "tags": [ "ai", "csharp", "dba", "dotnet", "llm", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "C#" ], "license": "MIT", "lastUpdated": "2026-05-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/mbentham/SqlAugur", "relations": { "works_in": [ "cursor", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mbentham-sqlaugur" }, { "slug": "mberg-kokoro-tts-mcp", "name": "mberg/kokoro-tts-mcp", "vendor": "Various", "tagline": "Kokoro Text to Speech (TTS) MCP Server", "description": "Kokoro Text to Speech (TTS) MCP Server is a Python-based server that exposes text-to-speech functionality through the Model Context Protocol. It allows MCP-compatible clients to generate audio from text input using the Kokoro TTS model.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a straightforward TTS server for MCP-based tools", "useCases": [ "Integrating TTS into MCP-compatible AI agents", "Generating spoken responses from language model outputs", "Adding voice output to automation scripts" ], "pros": [ "Simple MCP interface for TTS integration", "Lightweight Python implementation", "Open source with permissive license" ], "cons": [ "Small community and limited documentation", "May lack advanced features like voice cloning", "Requires MCP client to use" ], "tags": [], "featured": false, "tier": "curated", "stars": 78, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2025-09-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/mberg/kokoro-tts-mcp", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mberg-kokoro-tts-mcp" }, { "slug": "mbrassey-solentic", "name": "mbrassey/solentic", "vendor": "Various", "tagline": "mbrassey/solentic — indexed from awesome-mcp-servers-punkpeye", "description": "A Model Context Protocol (MCP) server listed in the awesome-mcp-servers collection by punkpeye. Hosted on GitHub at mbrassey/solentic with details in its repository.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring the MCP ecosystem", "useCases": [ "Discover in the curated MCP server index", "Integrate as an MCP tool with compatible clients", "Extend or customize for specific needs" ], "pros": [ "Listed in a community-maintained index", "Open source and freely available", "Part of the broader MCP ecosystem" ], "cons": [ "Specific capabilities not described here", "Relies on external documentation", "No independent verification" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/mbrassey/solentic", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mbrassey-solentic" }, { "slug": "mbrummerstedt-powerbi-analyst-mcp", "name": "mbrummerstedt/powerbi-analyst-mcp", "vendor": "Various", "tagline": "This repo is a local mcp server made for connecting Power BI to your llm for analysis purposes", "description": "A local MCP server that connects Power BI to an LLM for analysis. It runs as a Python-based server, enabling natural language queries against Power BI datasets.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to query Power BI datasets via natural language using an LLM", "useCases": [ "Query Power BI data using natural language through an LLM", "Automate ad-hoc analysis by bridging Power BI with AI models", "Integrate Power BI into custom MCP-compatible workflows" ], "pros": [ "Enables natural language interaction with Power BI data", "Lightweight Python implementation easy to set up locally", "Open source with a clear, focused purpose" ], "cons": [ "Very small community (9 stars) with limited support", "Requires local server setup and MCP compatibility", "Narrow scope: only connects Power BI to LLMs for analysis" ], "tags": [], "featured": false, "tier": "curated", "stars": 9, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/mbrummerstedt/powerbi-analyst-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "haris-musa-excel-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mbrummerstedt-powerbi-analyst-mcp" }, { "slug": "mckinsey-vizro-mcp", "name": "mckinsey/vizro-mcp", "vendor": "Various", "tagline": "Vizro is a low-code toolkit for building high-quality data visualization apps.", "description": "Vizro-MCP is a Model Context Protocol server that lets AI assistants generate and modify Vizro data visualization dashboards. It connects large language models to the Vizro low-code toolkit for creating high-quality visualizations through natural language.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Data professionals and analysts who want to create Vizro dashboards using natural language with an AI assistant", "useCases": [ "Building interactive data dashboards via conversational AI", "Rapidly prototyping visualizations from natural language descriptions", "Iterating on chart layouts and configurations through chat commands" ], "pros": [ "Integrates with any MCP-compatible AI assistant or IDE", "Leverages Vizro's low-code Python API for quick dashboard creation", "Enables non-technical users to produce polished visualizations" ], "cons": [ "Requires Vizro knowledge for advanced customizations beyond basic templates", "Performance depends on the LLM's ability to generate correct Vizro code", "Limited to Vizro's supported chart types and layout options" ], "tags": [ "dashboard", "data-visualization", "plotly", "plotly-dash", "pydantic", "python", "visualization" ], "featured": false, "tier": "curated", "stars": 3697, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/mckinsey/vizro/tree/main/vizro-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [ "antv-mcp-server-chart" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mckinsey-vizro-mcp" }, { "slug": "mcp-atlassian", "name": "Atlassian MCP Server", "vendor": "Atlassian", "tagline": "Official Atlassian MCP. Jira issues, Confluence pages, releases, sprints, exposed to your agent.", "description": "Atlassian's official remote MCP server gives agents structured access to Jira and Confluence: read and write issues, manage sprints, browse and edit Confluence pages, and search across the workspace. The clearest path for any enterprise team running Atlassian to bring agents into the loop.", "category": "productivity", "pricingTier": "free", "deployEffort": "low", "bestFor": "Enterprises on Jira and Confluence wanting an agent surface", "useCases": [ "Triage Jira issues with an agent that can read context and assign", "Generate sprint summaries with real Jira data", "Author and update Confluence pages from an agent run", "Bridge GitHub activity into the right Jira tickets" ], "pros": [ "Official, kept current with Atlassian platform changes", "Covers both Jira and Confluence in one surface", "Hosted remote MCP, simple to install in any client", "Strong fit for regulated enterprises already on Atlassian" ], "cons": [ "Permissions follow your Atlassian model, careful scoping needed", "Some advanced admin operations still gated", "Volume on large workspaces can overwhelm context" ], "tags": [ "mcp", "atlassian", "jira", "confluence", "official" ], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-05-17", "officialLink": "https://www.atlassian.com/platform/remote-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "sooperset-mcp-atlassian" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mcp-atlassian" }, { "slug": "mcp-cloudflare", "name": "Cloudflare MCP Server", "vendor": "Cloudflare", "tagline": "Official remote MCP servers from Cloudflare. Workers, R2, KV, DNS, Workers AI, all from your agent.", "description": "Cloudflare ships a suite of official remote MCP servers covering Workers, R2, KV, D1, DNS, Workers AI, and the broader Cloudflare platform. They run as hosted remote MCP, so any compatible client can connect with an API token and operate Cloudflare end to end through an agent.", "category": "developer", "pricingTier": "free", "deployEffort": "low", "bestFor": "Teams running anything serious on Cloudflare", "useCases": [ "Deploy a Worker, set DNS, and ship a route in one agent session", "Inspect and rotate KV or R2 storage through an agent", "Manage DNS records and routing across many zones", "Operate Cloudflare AI gateway and Workers AI workloads" ], "pros": [ "Hosted remote MCP, no local server to manage", "Coverage across the full Cloudflare platform", "Strong fit with the agent-deployed-edge-apps pattern", "Token-scoped, can lock down per-zone or per-product" ], "cons": [ "Token scoping requires deliberate care, defaults are wide", "Some advanced enterprise features still missing", "Remote-only transport assumes connectivity" ], "tags": [ "mcp", "cloudflare", "workers", "official", "remote" ], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-05-17", "officialLink": "https://github.com/cloudflare/mcp-server-cloudflare", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "awslabs-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mcp-cloudflare" }, { "slug": "mcp-brave-search", "name": "Brave Search MCP", "vendor": "Brave (reference implementation)", "tagline": "MCP server that gives any agent privacy-respecting web search via the Brave Search API. The default research primitive.", "description": "Brave Search MCP wraps the Brave Search API as a Model Context Protocol server. Drop in, set a key, and any MCP-compatible agent gets clean web results with no Google API quota games. The reference implementation lives in the MCP servers monorepo and is the most-installed search server.", "category": "search", "pricingTier": "freemium", "deployEffort": "one-click", "bestFor": "Any agent that needs general web search without operating its own crawler", "useCases": [ "Give a Claude or Cursor agent real web search without a custom backend", "Bootstrap a research agent that needs general web context", "Replace 'agent invents URLs' with 'agent searches first'", "Mix with a fetch tool for full search-and-read flows" ], "pros": [ "Reliable web results with sensible defaults", "Cheap free tier, predictable paid pricing", "No Google API quota and key gymnastics", "Drops into every MCP client identically" ], "cons": [ "Search quality not always parity with Google for long-tail", "Image and video results limited", "Vertical-specific search still needs a dedicated server" ], "tags": [ "mcp", "search", "brave", "reference", "research" ], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-05-17", "officialLink": "https://github.com/modelcontextprotocol/servers/tree/main/src/brave-search", "relations": { "works_in": [ "cursor", "continue", "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mcp-brave-search" }, { "slug": "mcp-fetch", "name": "Fetch MCP Server", "vendor": "Anthropic (reference implementation)", "tagline": "Reference MCP server for fetching web pages and converting them to markdown. Point an agent at any URL.", "description": "The Fetch MCP Server is the reference implementation for giving agents web access. It fetches a URL, converts the HTML to markdown, and returns clean text the agent can read without scraping boilerplate. Supports chunked reading for large pages, configurable robots.txt compliance, proxy support, and a raw HTML mode when you need the original markup.", "category": "browser", "pricingTier": "open-source", "deployEffort": "one-click", "bestFor": "Any agent that needs to read web content without standing up a full browser automation layer", "useCases": [ "Let an agent read documentation from any URL without a browser automation stack", "Fetch competitor pages, product listings, or public data as part of a research loop", "Pull changelogs, release notes, or news pages into an agent context window", "Prototype a web-reading agent workflow before committing to a heavier scraping solution" ], "pros": [ "Official reference implementation, maintained alongside the protocol", "Markdown output means clean, low-token page content for the model", "Chunked reading handles large pages without truncation", "Robots.txt compliance configurable per deployment" ], "cons": [ "Cannot execute JavaScript, so React and Vue SPAs return sparse markup", "Security caution: can access internal network addresses if misconfigured", "Not a replacement for Playwright or Puppeteer when interaction is needed" ], "tags": [ "mcp", "fetch", "web", "scraping", "reference", "open-source" ], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/modelcontextprotocol/servers/tree/main/src/fetch", "relations": { "works_in": [ "continue", "cursor", "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "mcp-playwright", "mcp-puppeteer" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mcp-fetch" }, { "slug": "mcp-filesystem", "name": "Filesystem MCP Server", "vendor": "Anthropic (reference implementation)", "tagline": "Reference MCP server for local filesystem access. The example everyone copies first.", "description": "Anthropic's reference filesystem MCP server gives agents scoped read and write access to local directories. It is the most-copied MCP example because it is small, clean, and instantly useful: the moment an agent can read your project folder safely, useful work begins.", "category": "developer", "pricingTier": "open-source", "deployEffort": "one-click", "bestFor": "Anyone new to MCP, and anyone who wants safe per-directory access", "useCases": [ "Give an agent access to a specific working directory without exposing the rest of the disk", "Build a local-first agent workflow against a project folder", "Template for writing your own MCP server in TypeScript", "Learn the MCP protocol by reading 300 lines of working code" ], "pros": [ "Smallest possible MCP example that still does useful work", "Excellent reading material for writing your own MCP server", "Path-scoped access prevents accidental disk-wide writes", "Maintained by Anthropic alongside the protocol itself" ], "cons": [ "Not feature-rich (no rename, no metadata, no symbolic links by default)", "Path scoping is easy to misconfigure too widely", "Cross-platform path handling has edge cases" ], "tags": [ "mcp", "filesystem", "reference", "open-source", "starter" ], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-05-17", "officialLink": "https://github.com/modelcontextprotocol/servers/tree/main/src/filesystem", "screenshotUrl": "https://www.anthropic.com/_next/image?url=%2Fimages%2Fmcp-og.png&w=1920&q=75", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [ "browsermcp-mcp", "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mcp-filesystem" }, { "slug": "mcp-git", "name": "Git MCP Server", "vendor": "Anthropic (reference implementation)", "tagline": "Reference MCP server for Git operations. Read status, diffs, logs, and write commits from inside an agent.", "description": "The Git MCP Server is the reference implementation for giving agents structured Git access. It exposes 12 tools covering the operations agents most commonly need: status, log, diff, show, add, commit, reset, branch, checkout, and create_branch. Runs against a local repo via stdio. Maintained by Anthropic alongside the protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "one-click", "bestFor": "Agents that need to read or write to a local Git repo as part of a broader workflow", "useCases": [ "Let an agent commit its own changes after completing a task", "Read git history and diffs as part of a code review or audit loop", "Automate branch creation and switching in a multi-step agent workflow", "Generate commit messages by giving the agent access to the staged diff" ], "pros": [ "Official reference implementation, maintained by Anthropic", "Covers the 12 most common Git operations agents actually need", "Clean MCP surface, easy to understand and extend", "Pairs naturally with the GitHub MCP for a local+remote Git workflow" ], "cons": [ "Still marked early development by the upstream maintainers", "No push or remote sync operations, local-only", "Not suitable for complex rebase or merge strategies" ], "tags": [ "mcp", "git", "version-control", "reference", "open-source" ], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/modelcontextprotocol/servers/tree/main/src/git", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "idosal-git-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mcp-git" }, { "slug": "mcp-memory", "name": "Memory MCP Server", "vendor": "Model Context Protocol (reference)", "tagline": "Reference MCP server for persistent agent memory using a local knowledge graph. The starter every memory-aware agent reaches for.", "description": "Memory MCP is a reference implementation in the modelcontextprotocol/servers repo. It stores entities, relations, and observations in a local graph so agents can remember across runs. Tiny, opinionated, easy to extend into a real long-term memory layer.", "category": "memory", "pricingTier": "open-source", "deployEffort": "one-click", "bestFor": "Anyone who wants 'the agent remembers me' without a heavy memory stack", "useCases": [ "Persist user facts across Claude or Cursor sessions", "Build an assistant that actually remembers project context", "Bootstrap an agent memory layer without picking a vector DB on day one", "Template for your own memory schema" ], "pros": [ "Reference quality, kept current", "Graph model is more queryable than free-text notes", "Tiny footprint, easy to inspect", "Forks cleanly into product-specific memory schemas" ], "cons": [ "Local storage means no cross-device by default", "No vector retrieval out of the box", "Graph editing UX still rough" ], "tags": [ "mcp", "memory", "knowledge-graph", "reference", "open-source" ], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-05-17", "officialLink": "https://github.com/modelcontextprotocol/servers/tree/main/src/memory", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "topoteretes-cognee", "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mcp-memory" }, { "slug": "mcp-github", "name": "GitHub MCP Server", "vendor": "GitHub", "tagline": "GitHub's official MCP server. Issues, PRs, repos, search, releases, all under one MCP surface.", "description": "GitHub's official MCP server gives agents structured access to GitHub: read and write issues, comment on PRs, search code, manage workflows, and inspect repos. Pairs cleanly with any MCP-compatible agent for end-to-end issue-to-PR loops.", "category": "developer", "pricingTier": "free", "deployEffort": "low", "bestFor": "Any team running an agent against a GitHub workflow", "useCases": [ "Triage issues with an agent that can read context and write replies", "Generate PR descriptions and review comments programmatically", "Search across multiple repos when planning a refactor", "Automate release notes and changelog generation" ], "pros": [ "Official, kept current with GitHub API changes", "Fine-grained scopes via GitHub tokens", "Covers the surfaces engineers actually live in", "Open source, self-hostable" ], "cons": [ "Heavy on token permissions, easy to over-grant", "Some org-level admin operations still missing", "Rate limits bite on aggressive multi-agent runs" ], "tags": [ "mcp", "github", "official", "issues", "pull-requests" ], "featured": true, "tier": "curated", "language": [], "addedAt": "2026-05-17", "officialLink": "https://github.com/github/github-mcp-server", "screenshotUrl": "https://github.githubassets.com/images/modules/site/social-cards/campaign-social.png", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mcp-github" }, { "slug": "mcp-linear", "name": "Linear MCP Server", "vendor": "Linear", "tagline": "Official Linear MCP server. Issues, projects, cycles, comments, all exposed to your agent.", "description": "Linear's official MCP server gives agents structured access to Linear: read and write issues, manage projects and cycles, comment on threads, search across the workspace. Pairs cleanly with GitHub MCP for the full issue-to-PR loop on a Linear-led team.", "category": "productivity", "pricingTier": "free", "deployEffort": "low", "bestFor": "Linear-first product and engineering teams running agents", "useCases": [ "Triage incoming Linear issues with an agent that can assign and comment", "Generate weekly cycle summaries from real Linear data", "Create and update issues from any agent workflow", "Bridge GitHub PR activity into the right Linear issue" ], "pros": [ "Official, kept current with Linear changes", "Covers the issue + cycle workflow end to end", "Pairs naturally with GitHub MCP for issue-to-PR loops", "Hosted HTTP transport simplifies multi-machine setup" ], "cons": [ "Permissions are workspace-wide on the issued key", "Per-team scoping needs careful token discipline", "Less depth on the docs and roadmap surfaces" ], "tags": [ "mcp", "linear", "productivity", "official", "issues" ], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-05-17", "officialLink": "https://linear.app/changelog/2025-05-01-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "mcp-atlassian" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mcp-linear" }, { "slug": "mcp-notion", "name": "Notion MCP Server", "vendor": "Notion", "tagline": "Notion's official MCP server. Search pages, read content, create pages, update databases, all from any MCP client.", "description": "Notion's official MCP server gives agents structured access to Notion workspaces. Search across pages, read full content, create or update pages, query databases. Pairs naturally with a writing agent that needs to drop output back into the team's source of truth.", "category": "productivity", "pricingTier": "free", "deployEffort": "low", "bestFor": "Any team that lives in Notion and wants agents to read or write there", "useCases": [ "Let an agent answer 'what did we decide about X' by searching Notion", "Drop weekly status notes into the right Notion page automatically", "Sync OPM-style project state into a Notion view for non-engineers", "Build an internal Q&A agent grounded on the team Notion" ], "pros": [ "Official, supports the full Notion content model", "Search across the whole workspace, not just one page", "Pairs with OAuth so per-user scopes are clean", "Updates as Notion API evolves" ], "cons": [ "API rate limits bite on bulk operations", "Block model is fiddly for rich-content edits", "Permissions surface complexity at scale" ], "tags": [ "mcp", "notion", "productivity", "official", "knowledge" ], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-05-17", "officialLink": "https://developers.notion.com/docs/mcp", "relations": { "works_in": [ "cursor", "continue", "cline" ], "uses": [], "built_with": [], "pairs_with": [ "mcp-linear" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mcp-notion" }, { "slug": "mcp-obsidian", "name": "Obsidian MCP Server", "vendor": "MarkusSagen (community)", "tagline": "MCP server for Obsidian vaults. Read, write, and search notes so your agent works inside your second brain.", "description": "Obsidian MCP Server connects any MCP-compatible agent to a local Obsidian vault. Agents can read notes, create and update files, search by tag or keyword, and navigate the graph — turning your personal knowledge base into live context for any agent session. Built on the Obsidian Local REST API plugin, it runs entirely locally with no cloud dependency.", "category": "productivity", "pricingTier": "free", "deployEffort": "low", "bestFor": "Knowledge workers and researchers who use Obsidian as their primary note store and want agents to read and write it", "useCases": [ "Pull relevant notes into an agent session as context before drafting", "Create and file meeting notes or research summaries directly from an agent", "Search the vault for prior decisions before starting a new project", "Sync agent-generated content back into the knowledge base automatically" ], "pros": [ "Fully local, no data leaves your machine", "Read and write access to the full vault", "Tag and keyword search surfaces relevant notes fast", "Works with any MCP client including Claude Desktop and Cursor" ], "cons": [ "Requires Obsidian Local REST API plugin to be running", "Community-maintained, not an official Obsidian product", "Large vaults can overwhelm context windows without careful scoping", "No graph traversal or backlink navigation yet" ], "tags": [ "mcp", "obsidian", "notes", "knowledge-base", "productivity", "local" ], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-05-17", "officialLink": "https://github.com/MarkusSagen/mcp-obsidian", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "obsidian" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mcp-obsidian" }, { "slug": "mcp-playwright", "name": "Playwright MCP", "vendor": "Microsoft", "tagline": "Browser control as an MCP server. Click, type, screenshot, scrape, all from inside any MCP-aware agent.", "description": "Playwright MCP exposes a real browser as an MCP-compatible tool. Agents can navigate pages, fill forms, click elements, take screenshots, and extract structured data. Built on Microsoft's mature Playwright runtime, so it inherits the cross-browser support, headless mode, and trace tooling.", "category": "browser", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Anyone who needs to make agents do browser work safely", "useCases": [ "Agent-driven QA across web flows", "Scraping anything where no API exists", "Form-fill automations against legacy systems", "Visual regression testing as an agent task" ], "pros": [ "Real browser, not a flaky API mock", "Inherits Playwright's debugging and trace tools", "Cross-browser support out of the box", "Strong community and active maintenance" ], "cons": [ "Requires a runtime, not a one-line install everywhere", "Token usage on screenshot heavy flows can be high", "Agent has to learn the browser quirks of each target site" ], "tags": [ "mcp", "browser", "playwright", "microsoft", "automation" ], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-05-17", "officialLink": "https://github.com/microsoft/playwright-mcp", "screenshotUrl": "https://playwright.dev/img/playwright-logo.svg", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [ "mcp-fetch" ], "alternative_to": [ "mcp-puppeteer" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mcp-playwright" }, { "slug": "mcp-postgres", "name": "Postgres MCP Server", "vendor": "Model Context Protocol (reference)", "tagline": "Reference MCP server for Postgres. Read schema, run scoped queries, give agents structured DB access without a dashboard tab.", "description": "The reference Postgres MCP server is part of the modelcontextprotocol/servers monorepo. It teaches the agent the schema, exposes read-only queries by default, and is the cleanest answer when an agent needs to look at production data without anyone copy-pasting a connection string.", "category": "data", "pricingTier": "open-source", "deployEffort": "one-click", "bestFor": "Teams on raw Postgres (not Supabase) who want agent DB access", "useCases": [ "Let an agent answer 'what does the schema look like' without a DB GUI", "Run scoped analytical queries in read-only mode", "Use as a starter for your own DB-flavoured MCP server", "Local dev workflow against a Postgres in Docker" ], "pros": [ "Reference quality, kept current with the protocol", "Read-only default keeps blast radius low", "Tiny codebase, easy to fork for tenant scoping", "Pairs cleanly with every MCP-aware client" ], "cons": [ "Writes need a different server or explicit opt-in", "Schema introspection cost on huge DBs", "Connection string handling needs hardening for prod" ], "tags": [ "mcp", "postgres", "database", "reference", "open-source" ], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-05-17", "officialLink": "https://github.com/modelcontextprotocol/servers/tree/main/src/postgres", "relations": { "works_in": [ "cursor", "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "mcp-supabase" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mcp-postgres" }, { "slug": "mcp-puppeteer", "name": "Puppeteer MCP Server", "vendor": "Model Context Protocol (reference)", "tagline": "Reference Puppeteer-backed MCP. Give an agent a real browser when an API does not exist.", "description": "The Puppeteer MCP server gives agents a real Chrome browser via Puppeteer: navigate, click, fill, screenshot, evaluate JavaScript. The right pick when the target surface has no API, and a complement (not a replacement) for Playwright MCP for teams that prefer Puppeteer's ergonomics.", "category": "browser", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Teams whose existing tooling is Puppeteer-based, or who need raw browser control", "useCases": [ "Drive a third-party UI an agent has no API for", "Scrape and parse a complex JavaScript-heavy page", "Capture screenshots for QA or audit trails", "Run scripted browser flows from an agent loop" ], "pros": [ "Real browser, real DOM, no API gaps", "Reference quality with the protocol", "Familiar API for teams already on Puppeteer", "Pairs cleanly with Playwright MCP if both ecosystems matter" ], "cons": [ "Browser automation is inherently brittle on third-party sites", "Resource-heavy compared to API-first approaches", "Less first-class than Playwright in modern agent stacks" ], "tags": [ "mcp", "puppeteer", "browser", "scraping", "reference" ], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-05-17", "officialLink": "https://github.com/modelcontextprotocol/servers/tree/main/src/puppeteer", "relations": { "works_in": [], "uses": [ "docker" ], "built_with": [], "pairs_with": [ "mcp-playwright" ], "alternative_to": [ "mcp-playwright" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mcp-puppeteer" }, { "slug": "mcp-sentry", "name": "Sentry MCP Server", "vendor": "Sentry", "tagline": "Official Sentry MCP. Pipe errors, performance issues, and releases to your agent so it can fix them.", "description": "Sentry's official MCP server gives agents structured access to error data, performance issues, releases, and projects. Drop into Claude Code or Cursor and the agent can pull the latest unhandled exception, read the stack trace, find the bad commit, and ship a fix in one loop.", "category": "developer", "pricingTier": "free", "deployEffort": "low", "bestFor": "Engineering teams running Sentry and wanting agents in the on-call loop", "useCases": [ "Triage new Sentry issues with full stack trace context", "Cross-reference Sentry errors with the GitHub commit that introduced them", "Generate release notes that include the bug fixes that landed", "Build a daily 'top errors' digest from agent runs" ], "pros": [ "Official, kept current with Sentry product changes", "Closes the loop from error to fix without leaving the agent", "Pairs with GitHub MCP for full triage-to-PR runs", "Hosted transport simplifies install" ], "cons": [ "Wide token scopes need careful per-project minimisation", "Volume-heavy projects can overwhelm an agent without filters", "Bug-fix quality bounded by underlying repo context" ], "tags": [ "mcp", "sentry", "errors", "official", "observability" ], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-05-17", "officialLink": "https://docs.sentry.io/product/sentry-mcp", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mcp-sentry" }, { "slug": "mcp-sequential-thinking", "name": "Sequential Thinking MCP Server", "vendor": "Model Context Protocol (reference)", "tagline": "Reference MCP that gives an agent a structured 'think step by step' tool. Surprisingly effective on hard tasks.", "description": "Sequential Thinking is a reference MCP server that exposes a single tool: a structured 'think' step the agent can call to externalise its reasoning, revise prior steps, and branch. It is a tiny but durable upgrade to any agent loop on hard multi-step problems.", "category": "developer", "pricingTier": "open-source", "deployEffort": "one-click", "bestFor": "Any agent run that touches genuinely hard multi-step reasoning", "useCases": [ "Give a planning agent a structured place to externalise reasoning", "Force long-context tasks to checkpoint mid-flow", "Allow the agent to revise a prior step instead of starting over", "Use as a teaching tool for what good agent planning looks like" ], "pros": [ "Tiny install, measurable lift on multi-step tasks", "Forces revisable, inspectable reasoning", "Pairs cleanly with any other MCP server", "Reference quality, maintained with the protocol" ], "cons": [ "Adds tokens, not a free lift", "Less useful on simple single-step tasks", "Quality bounded by the model's underlying planning ability" ], "tags": [ "mcp", "reasoning", "planning", "reference", "open-source" ], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-05-17", "officialLink": "https://github.com/modelcontextprotocol/servers/tree/main/src/sequentialthinking", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mcp-sequential-thinking" }, { "slug": "mcp-slack", "name": "Slack MCP Server", "vendor": "Model Context Protocol (reference)", "tagline": "Reference MCP server for Slack. Read channels, post messages, search history, all through Claude or any MCP client.", "description": "The reference Slack MCP server lives in the modelcontextprotocol/servers monorepo and gives agents structured access to a Slack workspace. List channels, read history, post messages, manage reactions, search across the workspace. Pair with the Slack skill for a full read-think-post loop.", "category": "communication", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Teams whose async ops live in Slack and want agents in the loop", "useCases": [ "Triage Slack threads through an agent that can read and reply", "Post a structured daily standup digest from the agent", "Search across channels to find the last decision on a topic", "Build internal Slack-driven bot workflows without a custom app" ], "pros": [ "Reference quality maintained alongside the protocol", "Covers the surfaces ops teams actually use", "Pairs cleanly with the Slack skill for tone-aware posts", "Easy to scope with a per-workspace bot token" ], "cons": [ "Bot tokens still give wide channel access if over-granted", "Some admin-level actions still require dashboard", "Rate limits bite under aggressive multi-agent use" ], "tags": [ "mcp", "slack", "communication", "reference", "open-source" ], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-05-17", "officialLink": "https://github.com/modelcontextprotocol/servers/tree/main/src/slack", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mcp-slack" }, { "slug": "mcp-stripe", "name": "Stripe MCP Server", "vendor": "Stripe", "tagline": "Official Stripe MCP. Customers, subscriptions, invoices, payment intents, products, all through an agent.", "description": "Stripe's official MCP server exposes the Stripe API through MCP. Look up customers, manage subscriptions, generate invoices, inspect failed payments, and operate the catalog from any MCP-compatible client. Scopes through standard Stripe API keys, with restricted-key support for least-privilege agent access.", "category": "developer", "pricingTier": "free", "deployEffort": "low", "bestFor": "Any team running Stripe whose ops involve regular customer or invoice lookups", "useCases": [ "Look up a customer and their last invoice from a support agent run", "Reconcile a failed payment and reach out from the same agent loop", "Generate monthly revenue summaries from real Stripe data", "Operate the product and price catalog from an agent session" ], "pros": [ "Official, kept current with the Stripe API", "Restricted-key support lets you scope agents tightly", "Covers the surfaces support and finance actually use", "Pairs well with Slack MCP for support-loop automation" ], "cons": [ "Live mode access needs deliberate guardrails", "Tax and reporting still benefit from native dashboard work", "Multi-account orgs need per-account token discipline" ], "tags": [ "mcp", "stripe", "payments", "official", "billing" ], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-05-17", "officialLink": "https://docs.stripe.com/agents/mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mcp-stripe" }, { "slug": "mcp-supabase", "name": "Supabase MCP Server", "vendor": "Supabase", "tagline": "Official MCP server for Supabase. Let any MCP-compatible agent query, mutate, and migrate against your project.", "description": "The official Supabase MCP server exposes project management, database queries, edge function deploys, and migration tools through the Model Context Protocol. Drop into Claude Code, Cursor, or any MCP client, and an agent can manage a Supabase project safely with role-scoped access.", "category": "data", "pricingTier": "free", "deployEffort": "low", "bestFor": "Teams running Supabase who already use MCP-compatible agents", "useCases": [ "Run scoped database queries from an agent without shipping connection strings around", "Apply migrations through an agent with a safety review step", "Deploy edge functions from an agent task", "Inspect schema, RLS, and project state during planning" ], "pros": [ "Official Supabase-blessed implementation", "Granular permission scopes per token", "Works in any MCP-compatible client, no lock-in", "Great fit for the agent-DB-first pattern" ], "cons": [ "Service-role tokens still give wide blast radius if misused", "Multi-tenant projects need careful per-tenant client wrappers", "Some advanced ops still require the dashboard or CLI" ], "tags": [ "mcp", "supabase", "database", "official", "open-source" ], "featured": true, "tier": "curated", "language": [], "addedAt": "2026-05-17", "officialLink": "https://github.com/supabase-community/supabase-mcp", "screenshotUrl": "https://supabase.com/og.png", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mcp-supabase" }, { "slug": "mcpdotdirect-evm-mcp-server", "name": "mcpdotdirect/evm-mcp-server", "vendor": "Various", "tagline": "MCP server that provides LLMs with tools for interacting with EVM networks", "description": "This MCP server implements the Model Context Protocol to give large language models tools for interacting with EVM networks. It provides read and write access to on-chain data, allowing LLMs to query balances, call contract functions, and submit transactions. Written in TypeScript, it integrates with MCP-compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or tools that need to interact with Ethereum and EVM-compatible blockchains", "useCases": [ "Building an LLM agent that monitors on-chain events and alerts users", "Automating smart contract interactions through natural language prompts", "Enabling AI assistants to fetch wallet balances or token data from EVM chains" ], "pros": [ "Open source with a growing community (378 stars on GitHub)", "TypeScript provides type safety and good developer experience", "Implements standard MCP protocol for easy integration with LLM clients" ], "cons": [ "Only supports EVM-compatible chains, not other blockchains", "Requires an MCP-capable LLM client to be useful", "Needs manual configuration of RPC endpoints and chain IDs" ], "tags": [ "agent", "blockchain", "ethereum", "evm", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 378, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-11-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/mcpdotdirect/evm-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mcpdotdirect-evm-mcp-server" }, { "slug": "mcpdotdirect-starknet-mcp-server", "name": "mcpdotdirect/starknet-mcp-server", "vendor": "Various", "tagline": "MCP server that provides LLM with tools for interacting with Starknet", "description": "An MCP server that gives LLMs tools to interact with the Starknet blockchain. It exposes Starknet operations as callable tools through the Model Context Protocol, enabling AI agents to query and transact on Starknet.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to interact with the Starknet blockchain", "useCases": [ "Querying Starknet blockchain state and transaction data via an LLM", "Building AI agents that can execute Starknet smart contract calls", "Integrating Starknet capabilities into MCP-compatible chat interfaces" ], "pros": [ "Small, focused codebase in TypeScript with 5 GitHub stars", "Directly bridges LLMs with Starknet without custom middleware", "Follows the emerging MCP standard for tool interoperability" ], "cons": [ "Very early stage with minimal community adoption or documentation", "Limited to Starknet only, not a general blockchain tool", "Requires running an MCP host to use the server" ], "tags": [ "agent", "blockchain", "mcp", "mcp-server", "starknet" ], "featured": false, "tier": "curated", "stars": 5, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-11-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/mcpdotdirect/starknet-mcp-server", "relations": { "works_in": [ "claude-code", "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mcpdotdirect-starknet-mcp-server" }, { "slug": "mcpware-pagecast", "name": "mcpware/pagecast", "vendor": "Various", "tagline": "Record any browser page as GIF or video via MCP — powered by Playwright + ffmpeg", "description": "Records any browser page as GIF or video via the Model Context Protocol. Uses Playwright for browser automation and ffmpeg for encoding output. Developers can integrate it into MCP-compatible tools to capture web content programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based assistants that need to capture web page recordings on demand.", "useCases": [ "Record browser interactions for bug reports or demos", "Capture web pages for documentation or presentations", "Automate visual recordings in CI or testing pipelines" ], "pros": [ "Leverages Playwright's reliable browser automation across multiple browsers", "Outputs both GIF and video formats from a single tool", "Simple MCP server setup for integration with LLM assistants" ], "cons": [ "Small community with only 16 GitHub stars", "Requires local installation of Playwright browsers and ffmpeg", "Limited to recording only what Playwright can render (no browser extensions or complex media)" ], "tags": [ "ai-tools", "automation", "browser-automation", "claude", "claude-code", "demo", "developer-tools", "ffmpeg" ], "featured": false, "tier": "curated", "stars": 16, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/mcpware/pagecast", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "mediar-ai-screenpipe" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mcpware-pagecast" }, { "slug": "mcpware-ui-annotator-mcp", "name": "mcpware/ui-annotator-mcp", "vendor": "Various", "tagline": "MCP server that annotates any web page with hover labels — zero extensions, works in any browser", "description": "An MCP server that injects hover labels onto any web page, revealing element names or annotations without requiring browser extensions. It works in any browser by proxying or modifying page content to display labels on hover.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need instant UI element identification without installing browser extensions", "useCases": [ "Inspecting UI element names during frontend development", "Debugging accessibility by identifying unlabeled components", "Quickly mapping page structure for testing or documentation" ], "pros": [ "No browser extensions needed, works across all browsers", "Simple to set up as a standalone MCP server", "Lightweight and focused on a single useful task" ], "cons": [ "Low community adoption (6 stars) suggests early or niche tool", "Requires running a separate server process", "Hover labels may interfere with page interactions or clutter complex UIs" ], "tags": [ "accessibility", "ai-tools", "anthropic", "automation", "browser-automation", "claude", "claude-code", "developer-tools" ], "featured": false, "tier": "curated", "stars": 6, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/mcpware/ui-annotator-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "browsermcp-mcp", "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mcpware-ui-annotator-mcp" }, { "slug": "mctlhq-mctl-mcp", "name": "mctlhq/mctl-mcp", "vendor": "Various", "tagline": "mctlhq/mctl-mcp — indexed from awesome-mcp-servers-punkpeye", "description": "A Model Context Protocol server listed in the awesome-mcp-servers collection. Written in JavaScript, it has no current stars and lacks a detailed description.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers looking for early-stage or experimental MCP servers to evaluate", "useCases": [ "Connecting AI assistants to external systems via MCP", "Building custom tool integrations for LLM workflows", "Exploring experimental MCP server implementations" ], "pros": [ "Part of the referenced awesome-mcp-servers index for discoverability", "Implements the MCP specification for interoperability" ], "cons": [ "No usage documentation or examples available", "Zero stars suggests early or unmaintained status", "No community activity or support channels visible" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/mctlhq/mctl-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mctlhq-mctl-mcp" }, { "slug": "meacheal-ai-mrc-data", "name": "meacheal-ai/mrc-data", "vendor": "Various", "tagline": "China's apparel supply chain data infrastructure for AI agents — 3,000+ verified suppliers, 350+ lab-tested fabrics, 170+ industrial clusters. MCP + REST + OpenAPI.", "description": "A data infrastructure tool that provides verified supplier and fabric data for AI agents operating in China's apparel supply chain. It exposes 3,000+ suppliers, 350+ lab-tested fabrics, and 170+ industrial clusters through MCP, REST, and OpenAPI interfaces.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents for China's apparel sourcing and supply chain management", "useCases": [ "Integrate verified supplier data into AI-driven sourcing agents", "Query lab-tested fabric specifications programmatically", "Map industrial clusters for supply chain optimization" ], "pros": [ "Large, curated dataset of verified suppliers and fabrics", "Multiple API interfaces (MCP, REST, OpenAPI) for flexible integration", "Covers a specific, high-value niche in apparel supply chain" ], "cons": [ "Very early stage with only 1 GitHub star and limited community adoption", "Documentation and usage examples are minimal", "Shell-based implementation may limit cross-platform ease of use" ], "tags": [ "ai-agents", "apparel", "b2b", "china", "manufacturing", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Shell" ], "lastUpdated": "2026-04-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/meacheal-ai/mrc-data", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/meacheal-ai-mrc-data" }, { "slug": "meal-inc-bonnard-cli", "name": "meal-inc/bonnard-cli", "vendor": "Various", "tagline": "Open-source agentic schema CLI. Optimised for claude code, gemini, codex and co-pilot. Skills included.", "description": "An open-source CLI tool that provides an agentic schema for working with Claude Code, Gemini, Codex, and Copilot. It includes built-in skills to streamline developer workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want a schema-based CLI to enhance AI coding assistants like Claude Code or Copilot.", "useCases": [ "Automating repetitive coding tasks with agentic schemas", "Integrating schema-driven workflows into CLI-based development", "Enhancing AI coding assistants with structured skill definitions" ], "pros": [ "Works with multiple major AI coding assistants", "Open-source and written in TypeScript for easy customization", "Includes pre-built skills to accelerate setup" ], "cons": [ "Small community with only 48 GitHub stars", "Limited documentation or examples beyond the repository", "Requires familiarity with CLI tools and agentic schemas" ], "tags": [ "agentic", "agentic-analytics", "agentic-schema", "ai-analytics", "bigquery", "data-catalog", "databricks", "dbt" ], "featured": false, "tier": "curated", "stars": 48, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/meal-inc/bonnard-cli", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "claude-code" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/meal-inc-bonnard-cli" }, { "slug": "meanands-npm-package-docs-mcp", "name": "meanands/npm-package-docs-mcp", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) tool that provides up-to-date documentation for npm packages directly in your IDE. This tool fetches the latest README documentation from either the", "description": "A Model Context Protocol (MCP) tool that provides up-to-date documentation for npm packages directly in your IDE. It fetches the latest README documentation from either the package's GitHub repository or the README bundled with the npm package itself.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who regularly consult npm package documentation and use an MCP-capable IDE", "useCases": [ "Looking up npm package README without switching windows", "Comparing GitHub-hosted vs npm-bundled documentation for a package", "Quickly verifying package usage notes during development" ], "pros": [ "Brings package documentation directly into the IDE, reducing context switches", "Fetches the latest README from the GitHub repo or the npm bundle", "Works with any MCP-compatible editor" ], "cons": [ "Limited to README content; does not include full API reference or changelog", "Requires an MCP client and network access to fetch remote docs", "Relatively low adoption (11 stars) may mean fewer community fixes or updates" ], "tags": [], "featured": false, "tier": "curated", "stars": 11, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-08-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/meanands/npm-package-docs-mcp", "relations": { "works_in": [ "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/meanands-npm-package-docs-mcp" }, { "slug": "mediar-ai-screenpipe", "name": "mediar-ai/screenpipe", "vendor": "Various", "tagline": "YC (S26) | AI that knows what you've seen, said, or heard. Records everything you do, say, hear 24/7, local, private, secure", "description": "Screenpipe is a local recording agent written in Rust that captures screen, audio, and microphone input continuously on your machine. It stores all recordings locally for privacy and enables AI to search and act on what you've seen, said, or heard without sending data to external servers.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building local-first AI agents that need rich context from user activity without cloud transmission.", "useCases": [ "Building AI assistants that understand user context from screen and audio history", "Creating productivity tools that search across everything you've done in a session", "Developing accessibility features that react to on-screen content and spoken input" ], "pros": [ "Runs entirely local with no cloud dependency, keeping sensitive recordings private", "Captures multimodal input (screen, audio, microphone) in a single unified stream", "Open source with active community (19k+ stars) and Rust performance foundation" ], "cons": [ "Requires significant local storage and CPU resources for continuous 24/7 recording", "Privacy and legal compliance responsibility falls entirely on the builder deploying it", "Early-stage tool (YC S26) with evolving API and potential breaking changes" ], "tags": [ "agents", "agi", "ai", "audio-recording", "computer-vision", "llm", "local-ai", "local-first" ], "featured": false, "tier": "curated", "stars": 19049, "language": [ "Rust" ], "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/mediar-ai/screenpipe", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mediar-ai-screenpipe" }, { "slug": "megberts-mcp-websitepublisher-ai", "name": "megberts/mcp-websitepublisher-ai", "vendor": "Various", "tagline": "Build and publish websites through AI conversation. 27+ MCP tools, OAuth 2.1 auto-discovery. Works with Claude, ChatGPT, Mistral/Le Chat, Cursor and more.", "description": "Build and publish websites through AI conversation using 27+ MCP tools. Supports OAuth 2.1 auto-discovery and works with Claude, ChatGPT, Mistral/Le Chat, Cursor and more.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to prototype and deploy simple websites using conversational AI in popular chat interfaces", "useCases": [ "Quickly prototype and deploy a static site via natural language chat", "Configure OAuth authentication for a published website automatically", "Publish content directly from an AI assistant supported by MCP" ], "pros": [ "Large set of MCP tools (27+) for diverse website building tasks", "Works with multiple major AI assistants and chat platforms", "Automates OAuth 2.1 setup to reduce manual configuration" ], "cons": [ "Zero GitHub stars may indicate limited community adoption or validation", "Requires an AI assistant that supports the MCP protocol", "Dependent on the capabilities and reliability of the external MCP tools" ], "tags": [ "ai", "chatgpt", "claude", "cms", "copilot", "gemini", "grok", "mcp" ], "featured": false, "tier": "curated", "stars": 0, "language": [], "lastUpdated": "2026-04-09", "addedAt": "2026-06-01", "officialLink": "https://github.com/megberts/mcp-websitepublisher-ai", "relations": { "works_in": [ "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/megberts-mcp-websitepublisher-ai" }, { "slug": "mem0ai-mem0-mcp", "name": "mem0ai/mem0-mcp", "vendor": "Various", "tagline": "🐍 🏠 - A Model Context Protocol server for Mem0 that helps manage coding preferences and patterns, providing tools for storing, retrieving and semantically handling code implement", "description": "A Model Context Protocol server for Mem0 that manages coding preferences and patterns. It provides tools for storing, retrieving, and semantically handling code implementations.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based tools that need persistent, semantic memory for coding preferences", "useCases": [ "Store and recall personal coding preferences across sessions", "Retrieve relevant code patterns based on semantic similarity", "Integrate persistent memory into MCP-compatible AI assistants" ], "pros": [ "Open source and written in Python, easy to extend", "Leverages semantic search for context-aware code retrieval", "Works within the Model Context Protocol ecosystem" ], "cons": [ "Requires a running Mem0 instance, adding infrastructure overhead", "Limited community size (655 stars) may mean fewer examples or support", "Python-only implementation may not suit non-Python MCP hosts" ], "tags": [], "featured": false, "tier": "curated", "stars": 655, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-03-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/mem0ai/mem0-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp", "pydantic-pydantic-ai-mcp-run-python" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mem0ai-mem0-mcp" }, { "slug": "memgraph-mcp-memgraph", "name": "memgraph/mcp-memgraph", "vendor": "Various", "tagline": "Toolkit for building AI-driven graph apps on Memgraph, with LangChain, MCP, and agent implementations.", "description": "A Python toolkit for building graph applications on Memgraph that use AI. It provides integrations with LangChain, the Model Context Protocol (MCP), and agent implementations.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers working with Memgraph who need to add AI capabilities to graph applications", "useCases": [ "Build graph-based agents with LangChain", "Integrate Memgraph with the Model Context Protocol for tool execution", "Create retrieval-augmented generation systems on graph data" ], "pros": [ "Provides ready-to-use integrations for popular AI frameworks", "Open-source Python code with 102 GitHub stars", "Tailored specifically for the Memgraph graph database" ], "cons": [ "Low community adoption relative to more established tools", "Limited to Memgraph ecosystem, not database-agnostic", "Documentation and examples may be sparse" ], "tags": [], "featured": false, "tier": "curated", "stars": 102, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/memgraph/ai-toolkit/tree/main/integrations/mcp-memgraph", "relations": { "works_in": [], "uses": [ "langchain" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/memgraph-mcp-memgraph" }, { "slug": "memstate-ai-memstate-mcp", "name": "memstate-ai/memstate-mcp", "vendor": "Various", "tagline": "memstate-ai/memstate-mcp — indexed from awesome-mcp-servers-punkpeye", "description": "memstate-ai/memstate-mcp is a Model Context Protocol server for managing memory state, built in TypeScript. It is listed in the awesome-mcp-servers collection and has 3 GitHub stars.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring MCP-based memory solutions in early-stage projects", "useCases": [ "Integrating persistent memory into AI agent workflows", "Storing and retrieving context across MCP sessions", "Experimenting with stateful MCP server implementations" ], "pros": [ "Written in TypeScript for type safety", "Follows the MCP standard for interoperability" ], "cons": [ "Very low community adoption (3 stars)", "Limited documentation and examples", "Unclear production readiness" ], "tags": [ "agent-memory", "ai-agents", "ai-memory", "claude", "cline", "cursor", "mcp", "memory-management" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-04-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/memstate-ai/memstate-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "oraios-serena" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/memstate-ai-memstate-mcp" }, { "slug": "merabylabs-promptarchitect-mcp", "name": "MerabyLabs/promptarchitect-mcp", "vendor": "Various", "tagline": "📇 ☁️ 🍎 🪟 🐧 - Workspace-aware prompt engineering. Refines, analyzes and generates prompts based on your project's tech stack, dependencies and context. Free to use.", "description": "A workspace-aware prompt engineering tool that refines, analyzes, and generates prompts using your project's tech stack, dependencies, and context. Works across cloud, Apple, Windows, and Linux systems and is free to use.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want context-aware prompt suggestions without leaving their local environment", "useCases": [ "Refining prompts to match project-specific tech stack and dependencies", "Analyzing existing prompts against workspace context for relevance", "Generating new prompts informed by current project files and environment" ], "pros": [ "Free and open source with broad platform support", "Improves prompt accuracy by leveraging real project context", "Reduces manual effort by automating context gathering" ], "cons": [ "Requires setup of the MCP server and integration with compatible clients", "Relies on community maintenance and documentation", "May not work with heavily customized or non-standard project structures" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/MerabyLabs/promptarchitect-mcp", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "oraios-serena" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/merabylabs-promptarchitect-mcp" }, { "slug": "mendlem-pipepost", "name": "MendleM/Pipepost", "vendor": "Various", "tagline": "MCP server to publish to Dev.to, Ghost, Hashnode, WordPress, Medium, LinkedIn, X, Bluesky, Mastodon from Claude Code. SEO scoring, canonical-URL wiring, social-post generation, Uns", "description": "Pipepost is an MCP server that allows publishing content to platforms like Dev.to, Ghost, Hashnode, WordPress, Medium, LinkedIn, X, Bluesky, and Mastodon directly from Claude Code. It provides features such as SEO scoring, canonical-URL wiring, social-post generation, Unsplash covers, and IndexNow support.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who use Claude Code and need a multi-platform publishing pipeline with SEO features", "useCases": [ "Publish blog posts to multiple platforms with one command from Claude Code", "Generate and schedule social media posts alongside content publication", "Optimize post metadata and canonical URLs for SEO" ], "pros": [ "Supports a wide variety of publishing and social media platforms", "Integrates SEO scoring and canonical URL management", "Open source and extensible via MCP protocol" ], "cons": [ "Very low community adoption with only 2 GitHub stars", "Limited documentation and support resources", "Relies on Claude Code as the only supported client" ], "tags": [ "bluesky", "claude-code", "content-publishing", "devto", "ghost-blog", "hashnode", "linkedin", "mcp" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/MendleM/Pipepost", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mendlem-pipepost" }, { "slug": "mercurialsolo-counsel-mcp", "name": "mercurialsolo/counsel-mcp", "vendor": "Various", "tagline": "MCP server for counsel", "description": "An MCP server that exposes counsel functionality via the Model Context Protocol. Built in JavaScript, it allows MCP-compatible clients to interact with counsel capabilities.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need an MCP interface for counsel in their AI toolchain", "useCases": [ "Integrating counsel with MCP-compatible AI clients", "Building workflows that leverage counsel through standardized MCP interfaces", "Extending counsel functionality by connecting it to MCP-based tools" ], "pros": [ "Lightweight JavaScript implementation with minimal dependencies", "Open source under a permissive license", "Simple server structure easy to understand and modify" ], "cons": [ "Very early stage project with only 5 GitHub stars", "Limited documentation and community support", "Narrow scope specific to counsel, not general-purpose" ], "tags": [], "featured": false, "tier": "curated", "stars": 5, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-01-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/mercurialsolo/counsel-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mercurialsolo-counsel-mcp" }, { "slug": "merterbak-grok-mcp", "name": "merterbak/Grok-MCP", "vendor": "Various", "tagline": "MCP server for xAI's Grok API with agentic tool calling, image and video generation, vision, and file support.", "description": "Grok-MCP is a Python-based MCP server that wraps xAI's Grok API, enabling agentic tool calling alongside image and video generation, vision analysis, and file handling. It exposes Grok's capabilities as standardized tools for MCP-compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-compatible agents or workflows that need access to Grok's multimodal generation", "useCases": [ "Integrate Grok's multimodal generation into MCP-enabled workflows", "Orchestrate agentic tool calls with Grok's API", "Enable vision and file analysis via a standardized MCP interface" ], "pros": [ "Bridges Grok's API to the MCP ecosystem for easier integration", "Supports multiple generation modes (text, image, video)", "Open source with a clean Python codebase" ], "cons": [ "Low community traction (33 stars) may indicate limited adoption or support", "Depends on xAI's Grok API availability and usage limits", "Minimal documentation beyond the repository readme" ], "tags": [ "grok", "mcp", "mcp-server", "xai" ], "featured": false, "tier": "curated", "stars": 33, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/merterbak/Grok-MCP", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/merterbak-grok-mcp" }, { "slug": "mervinpraison-praisonai-mcp", "name": "MervinPraison/praisonai-mcp", "vendor": "Various", "tagline": "MCP server that exposes PraisonAI tools for Claude Desktop, Cursor, and other MCP clients", "description": "MervinPraison/praisonai-mcp is a Python-based MCP (Model Context Protocol) server that exposes PraisonAI tools. It enables MCP clients such as Claude Desktop and Cursor to interact with those tools through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers integrating PraisonAI tools into MCP-compatible editors and assistants", "useCases": [ "Integrating PraisonAI tools into Claude Desktop workflows", "Building custom MCP clients that consume PraisonAI functionality", "Connecting Cursor editor to PraisonAI for code assistance" ], "pros": [ "Provides a standardized way to use PraisonAI tools with popular MCP clients", "Simple Python implementation makes it easy to modify or extend", "Lightweight with minimal external dependencies" ], "cons": [ "Very early stage with low community adoption and support", "Limited documentation and examples", "Requires a compatible MCP client to be useful" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-01-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/MervinPraison/praisonai-mcp", "relations": { "works_in": [ "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mervinpraison-praisonai-mcp" }, { "slug": "meshledger-meshledger", "name": "MeshLedger/MeshLedger", "vendor": "Various", "tagline": "MeshLedger/MeshLedger — indexed from awesome-mcp-servers-punkpeye", "description": "A TypeScript-based MCP (Model Context Protocol) server that provides mesh ledger functionality. It is listed in the awesome-mcp-servers-punkpeye collection, indicating it is designed for integration with AI assistants. The project is early-stage with 2 GitHub stars.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring MCP integration for mesh ledger systems", "useCases": [ "Integrating mesh ledger data with AI assistants", "Building custom MCP servers for ledger management", "Experimenting with MCP protocol implementations" ], "pros": [ "TypeScript implementation offers type safety and broad compatibility", "Part of a curated collection of MCP servers", "Minimal starting point for mesh ledger MCP development" ], "cons": [ "Very low community adoption and support (2 stars)", "Lack of documentation or usage examples", "Uncertain maintenance and reliability" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/MeshLedger/MeshLedger", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/meshledger-meshledger" }, { "slug": "metadrama-obscura-mcp", "name": "Metadrama/obscura-mcp", "vendor": "Various", "tagline": "MCP server adapter for Obscura headless browser — CDP automation without Chrome dependency", "description": "This MCP server adapter connects AI models to Obscura's headless browser for Chrome DevTools Protocol automation without needing Chrome. It enables browser control, page interactions, and data extraction through the Model Context Protocol. Built in JavaScript, it is a low-star project in early development.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-connected AI agents that need lightweight browser automation", "useCases": [ "Automating browser tasks from AI agents", "Extracting web page data without full browser dependencies", "Running headless browser tests via MCP" ], "pros": [ "Removes Chrome dependency for CDP automation", "Integrates with MCP ecosystem for AI agent workflows", "Lightweight compared to Puppeteer or Playwright" ], "cons": [ "Very early stage with only one star on GitHub", "Limited community support and documentation", "May lack stability and feature completeness" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/Metadrama/obscura-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "browsermcp-mcp", "agent-infra-mcp-server-browser", "executeautomation-playwright-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/metadrama-obscura-mcp" }, { "slug": "metorial-metorial", "name": "metorial/metorial", "vendor": "Various", "tagline": "Connect any AI model to 1200+ integrations (MCP, CLI, API)", "description": "Metorial lets developers connect any AI model to over 1200 external integrations through MCP, a CLI, or an API. It acts as a universal bridge between AI runtimes and services like databases, file storage, or messaging platforms.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to interact with many external tools without writing glue code.", "useCases": [ "Wire an LLM to a PostgreSQL database via MCP", "Trigger cloud storage actions from a CLI command", "Expose a custom service as an API endpoint for an AI agent" ], "pros": [ "Massive library of integrations out of the box", "Supports multiple connection protocols (MCP, CLI, API)", "Popular open-source project with strong community attention" ], "cons": [ "Dependency on a single GitHub repository for all integrations", "May require custom wiring for unsupported services", "Documentation depth varies across integrations" ], "tags": [ "agent", "agentic-ai", "agentic-workflow", "container", "docker", "mcp", "modelcontextprotocol", "security" ], "featured": false, "tier": "curated", "stars": 3297, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/metorial/metorial", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp", "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/metorial-metorial" }, { "slug": "metatool-ai-metatool-app", "name": "metatool-ai/metatool-app", "vendor": "Various", "tagline": "MCP Aggregator, Orchestrator, Middleware, Gateway in one docker", "description": "An open-source Docker-based tool that aggregates, orchestrates, and provides middleware and gateway functionality for MCP (Model Context Protocol) servers. Written in TypeScript, it enables developers to centralize and manage multiple MCP tools within a single containerized solution. The project has garnered over 2,300 stars on GitHub, indicating an active community.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a unified Docker-based gateway to manage and orchestrate multiple MCP servers", "useCases": [ "Centralizing multiple MCP servers under one gateway", "Orchestrating MCP tool calls with middleware logic", "Deploying a unified MCP aggregator via Docker" ], "pros": [ "Single Docker image simplifies deployment and scaling", "TypeScript codebase offers type safety and developer familiarity", "Open-source with strong community traction (2,365 stars)" ], "cons": [ "Requires Docker knowledge for setup and operation", "Tied specifically to the MCP ecosystem, limiting broader use", "Documentation and support may vary due to multiple vendors" ], "tags": [ "mcp", "mcp-gateway", "mcp-host", "mcp-middleware", "mcp-server", "mcp-servers", "mcp-to-openapi", "mcp-tools" ], "featured": false, "tier": "curated", "stars": 2365, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-02-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/metatool-ai/metatool-app", "relations": { "works_in": [], "uses": [], "built_with": [ "docker" ], "pairs_with": [], "alternative_to": [ "docker" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/metatool-ai-metatool-app" }, { "slug": "metoro-io-metoro-mcp-server", "name": "metoro-io/metoro-mcp-server", "vendor": "Various", "tagline": "Metoro MCP Server", "description": "Metoro MCP Server is an open-source Go server that implements the Model Context Protocol to let AI agents query and act on your Kubernetes clusters. It connects to a Kubernetes API server, retrieves resource state, logs, and events, and exposes those as tools a compatible LLM client can call.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and platform engineers who want to integrate LLM-based assistants with their Kubernetes environments", "useCases": [ "Debugging pod failures by asking an AI agent to check recent events and logs", "Automating routine cluster inspections without manual kubectl commands", "Enabling natural-language queries of Kubernetes resource status and metadata" ], "pros": [ "Low overhead Go server with a single binary deployment", "Provides structured access to live Kubernetes data for LLM agents", "Open source with a permissive license and active development" ], "cons": [ "Requires cluster-level read permissions and a running companion server", "Limited to querying existing state, no support for mutating cluster resources", "Small community and fewer integrations compared to established kubectl plugins" ], "tags": [], "featured": false, "tier": "curated", "stars": 50, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/metoro-io/metoro-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "txn2-kubefwd" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/metoro-io-metoro-mcp-server" }, { "slug": "metrxbots-mcp-server", "name": "metrxbots/mcp-server", "vendor": "Various", "tagline": "MCP server for AI agent cost intelligence — 23 tools to track spend, optimize models, manage budgets, detect waste, and prove ROI", "description": "MCP server that provides 23 tools for AI agent cost intelligence. It enables tracking spending across models, optimizing model selection, managing budgets, detecting waste, and demonstrating ROI via the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to instrument AI agents with detailed cost tracking and optimization logic.", "useCases": [ "Monitor real-time LLM token usage and costs across multiple providers", "Set budget thresholds and receive alerts when spending exceeds limits", "Analyze cost-per-task to identify inefficient model choices" ], "pros": [ "Comprehensive set of 23 dedicated cost management tools in one server", "Uses the MCP standard for easy integration with AI agents and tools", "Written in TypeScript, offering type safety and good developer experience" ], "cons": [ "Very early stage (1 GitHub star) with limited community and testing", "No documented integrations or usage examples beyond the repository description", "Requires self-hosting and configuration of an MCP client to be useful" ], "tags": [ "ai-agent", "cost-optimization", "finops", "llm", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/metrxbots/mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "pydantic-pydantic-ai-mcp-run-python", "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/metrxbots-mcp-server" }, { "slug": "mhmzdev-figma-flutter-mcp", "name": "mhmzdev/Figma-Flutter-MCP", "vendor": "Various", "tagline": "An MCP server that provides the coding agents Figma's design token to write Flutter code.", "description": "An open-source MCP server that exposes Figma design tokens to coding agents, enabling them to generate Flutter code from a project's design system. It acts as a bridge between Figma's token structure and AI assistants that support the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Flutter developers who use AI coding agents and want to automate design token integration.", "useCases": [ "Feed Figma design tokens into an AI agent to scaffold Flutter widgets", "Automatically sync color, spacing, and typography tokens to Flutter theme files", "Let AI coding tools convert design specifications directly into Flutter UI code" ], "pros": [ "Connects Figma tokens directly to agent-driven Flutter development", "Open source with an active repository (235 stars)", "Reduces manual translation between design and code" ], "cons": [ "Only supports Flutter output, not other frameworks", "Requires an MCP-compatible AI agent to function", "Depends on proper Figma token setup in the design file" ], "tags": [ "design", "figma", "figma-flutter-mcp", "flutter", "mcp" ], "featured": false, "tier": "curated", "stars": 235, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-02-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/mhmzdev/Figma-Flutter-MCP", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "glips-figma-context-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mhmzdev-figma-flutter-mcp" }, { "slug": "michael-denyer-memory-mcp", "name": "michael-denyer/memory-mcp", "vendor": "Various", "tagline": "Engram-inspired memory MCP server with hot cache and pattern mining", "description": "A Python-based MCP server that provides memory capabilities inspired by the Engram system. It uses a hot cache for fast retrieval and pattern mining to extract recurring themes from stored data. Designed to give AI agents persistent context across sessions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers prototyping memory-enhanced AI agents in Python", "useCases": [ "Adding long-term memory to chatbot agents", "Caching conversation history for low-latency recall", "Mining interaction patterns to personalize responses" ], "pros": [ "Lightweight Python implementation easy to integrate", "Hot cache reduces latency for frequently accessed memories", "Pattern mining adds contextual awareness beyond simple storage" ], "cons": [ "Very early stage with only 6 GitHub stars and limited community", "Documentation and examples are sparse", "Pattern mining may introduce overhead for simple use cases" ], "tags": [], "featured": false, "tier": "curated", "stars": 6, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-01-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/michael-denyer/memory-mcp", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "topoteretes-cognee" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/michael-denyer-memory-mcp" }, { "slug": "mibayy-token-savior", "name": "Mibayy/token-savior", "vendor": "Various", "tagline": "The MCP server that turns Claude into the only coding agent hitting 100% on a real benchmark. -77% active tokens, -76% wall time, 0 losses across 96 tasks on Claude Opus 4.7. Struc", "description": "Mibayy/token-savior is a Model Context Protocol (MCP) server that optimizes Claude as a coding agent. It reduces active tokens by 77% and wall time by 76% while maintaining 100% task completion on a benchmark of 96 tasks for Claude Opus 4.7. The tool uses structural code navigation and persistent memory to achieve these savings and works with any MCP client.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude Opus for complex coding tasks who need to minimize token consumption and latency", "useCases": [ "Boosting Claude's coding efficiency and reducing token costs", "Persisting context across multiple coding sessions", "Navigating and understanding large codebases with minimal token usage" ], "pros": [ "Demonstrated 77% token and 76% time reduction with no task losses", "Works universally with any MCP client", "Open-source with active community support (929 stars)" ], "cons": [ "Benchmark may not cover all real-world coding scenarios", "Requires Claude Opus model and MCP client setup", "Optimizations may not generalize to other LLMs or tasks" ], "tags": [], "featured": false, "tier": "curated", "stars": 929, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/Mibayy/token-savior", "relations": { "works_in": [ "claude-code", "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mibayy-token-savior" }, { "slug": "michael2150-flamerobin-mcp-server", "name": "Michael2150/flamerobin-mcp-server", "vendor": "Various", "tagline": "Michael2150/flamerobin-mcp-server — indexed from awesome-mcp-servers-punkpeye", "description": "FlameRobin MCP server is a C# implementation of the Model Context Protocol for interacting with Firebird databases. It enables AI assistants to query and manage database operations through the FlameRobin management tool.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Firebird databases who want to connect AI assistants for data operations.", "useCases": [ "Query Firebird database tables and views via natural language", "Browse schema metadata and generate SQL statements", "Automate routine database administration tasks" ], "pros": [ "Focused on a specific database system with clear integration scope", "Written in C# for .NET ecosystem compatibility", "Follows the MCP standard for interoperability with AI clients" ], "cons": [ "Low community adoption with only 1 star on GitHub", "Limited documentation and usage examples available", "Uncertain long-term maintenance and updates" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "C#" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/Michael2150/flamerobin-mcp-server", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/michael2150-flamerobin-mcp-server" }, { "slug": "mickaelkerjean-filestash", "name": "mickaelkerjean/filestash", "vendor": "Various", "tagline": ":filefolder: File Management Platform / Universal Data Access Layer (without FUSE)", "description": "Filestash is a file management platform written in Go that provides a universal data access layer across multiple storage backends without requiring FUSE. It exposes files from cloud storage, databases, and local systems through a unified web interface and API.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building multi-cloud file management systems or needing unified access to heterogeneous storage without FUSE overhead", "useCases": [ "Access and manage files across multiple cloud storage providers from one interface", "Build custom file browsing and sharing workflows without backend infrastructure", "Integrate heterogeneous storage systems into a single data access layer" ], "pros": [ "Supports multiple storage backends (S3, FTP, SFTP, WebDAV, databases) through plugins", "No FUSE dependency simplifies deployment and cross-platform compatibility", "Open source with active community (14k+ stars)" ], "cons": [ "Requires self-hosting and operational overhead for production use", "Plugin architecture means backend support depends on community contributions", "Web-first design may not suit all programmatic access patterns" ], "tags": [ "archiving", "azure", "dms", "dropbox", "edrms", "ftp", "ged", "git" ], "featured": false, "tier": "curated", "stars": 14271, "language": [ "Go" ], "license": "AGPL-3.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/mickael-kerjean/filestash/tree/master/server/plugin/plg_handler_mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "microsoft-markitdown" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mickaelkerjean-filestash" }, { "slug": "michaelrice-zendesk-mcp", "name": "michaelrice/zendesk-mcp", "vendor": "Various", "tagline": "Zendesk MCP server for Claude Code and other MCP clients", "description": "A Model Context Protocol server that exposes Zendesk functionality to MCP clients like Claude Code. It enables AI assistants to query and manage Zendesk tickets and data through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to control Zendesk data through AI assistants using the Model Context Protocol", "useCases": [ "Retrieve and search Zendesk tickets from within an AI coding assistant", "Update ticket status or add comments via natural language commands", "Integrate Zendesk workflows into automated MCP-based toolchains" ], "pros": [ "Open source and written in Python, easy to inspect and modify", "Works with any MCP-compatible client, not just Claude Code", "Lightweight server that can be run locally or in CI/CD pipelines" ], "cons": [ "Zero stars and no community traction suggests early or unmaintained project", "Not an official Zendesk integration, may lack full API coverage", "Requires manual setup of Zendesk API credentials and MCP client configuration" ], "tags": [ "mcp", "model-context-protocol", "oauth", "zendesk", "zenpy" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-05-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/michaelrice/zendesk-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/michaelrice-zendesk-mcp" }, { "slug": "micl2e2-code-to-tree", "name": "micl2e2/code-to-tree", "vendor": "Various", "tagline": "A runtime-free MCP server that converts source code into AST🌲, regardless of language.", "description": "A runtime-free MCP server that converts source code into abstract syntax trees (ASTs) for any language. It parses code without executing it, making it a lightweight static analysis tool.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a simple, language-agnostic AST extraction tool for static code analysis", "useCases": [ "Generate ASTs from source code for analysis or transformation", "Integrate with MCP-compatible editors for code structure visualization", "Build language-agnostic static analysis pipelines" ], "pros": [ "Works with any programming language without runtime dependencies", "Lightweight C implementation with minimal overhead", "Useful for developers needing quick AST extraction" ], "cons": [ "Limited to AST generation, no deeper semantic analysis", "Small community with only 83 stars, less support", "Requires MCP-compatible client to be useful" ], "tags": [ "abstract-syntax-tree", "agentic", "ast", "claude", "dependency-free", "llm", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 83, "language": [ "C" ], "license": "MIT", "lastUpdated": "2026-03-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/micl2e2/code-to-tree", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/micl2e2-code-to-tree" }, { "slug": "microsoft-markitdown", "name": "microsoft/markitdown", "vendor": "Various", "tagline": "Python tool for converting files and office documents to Markdown.", "description": "Python tool that converts files and Office documents into Markdown format. Handles multiple input types including PDFs, Word docs, Excel sheets, and images, outputting clean Markdown suitable for further processing or storage.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building document pipeline tools or migrating content to Markdown-based systems", "useCases": [ "Converting legacy Word documents to Markdown for documentation systems", "Batch processing spreadsheets into structured Markdown tables", "Extracting text from PDFs while preserving basic formatting" ], "pros": [ "Supports diverse file formats including Office suite documents", "High community adoption with 138k+ GitHub stars", "Handles images and extracts text from visual content" ], "cons": [ "Python-only, requires runtime environment setup", "Conversion quality varies by source format complexity", "Limited control over output formatting rules" ], "tags": [ "autogen", "autogen-extension", "langchain", "markdown", "microsoft-office", "openai", "pdf" ], "featured": false, "tier": "curated", "stars": 138078, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/microsoft/markitdown/tree/main/packages/markitdown-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "haris-musa-excel-mcp-server", "mickaelkerjean-filestash" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/microsoft-markitdown" }, { "slug": "mihaelamj-cupertino", "name": "mihaelamj/cupertino", "vendor": "Various", "tagline": "A local Apple Documentation crawler and MCP server. Written in Swift.", "description": "A local Apple Documentation crawler that also serves as an MCP server. Written in Swift, it crawls Apple's documentation and exposes it through the Model Context Protocol for local access.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Apple platform developers needing offline documentation or MCP integration", "useCases": [ "Access Apple documentation offline without network", "Integrate Apple docs into MCP-compatible development tools", "Build custom workflows around Apple reference material" ], "pros": [ "Provides local offline access to Apple documentation", "Open source with 800+ GitHub stars and active community interest", "Written in Swift for native performance on Apple platforms" ], "cons": [ "Limited to Apple documentation only", "Requires an MCP-compatible client to consume the server", "May need Swift knowledge for customization or troubleshooting" ], "tags": [ "apple-documentation", "cli", "command-line-tool", "developer-tools", "documentation-tools", "local-server", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 806, "language": [ "Swift" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/mihaelamj/cupertino", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mihaelamj-cupertino" }, { "slug": "mikan-atomoki-text-to-model", "name": "mikan-atomoki/text-to-model", "vendor": "Various", "tagline": "mikan-atomoki/text-to-model — indexed from awesome-mcp-servers-punkpeye", "description": "A Python tool that converts text input into a model. It has 2 stars and is indexed from the awesome-mcp-servers-punkpeye collection. No further details about its functionality are available.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers seeking a small, experimental tool for text-to-model conversion", "useCases": [ "Converting textual descriptions into a model structure", "Prototyping models from natural language specifications", "Exploring minimal text-to-model transformations" ], "pros": [ "Simple Python implementation, easy to integrate", "Small codebase with low barrier to entry" ], "cons": [ "Very few stars indicates limited adoption and testing", "Likely minimal documentation and community support", "Unclear reliability or suitability for production use" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/mikan-atomoki/text-to-model", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mikan-atomoki-text-to-model" }, { "slug": "mikechao-balldontlie-mcp", "name": "mikechao/balldontlie-mcp", "vendor": "Various", "tagline": "An MCP Server implementation that integrates the Balldontlie API, to provide information about players, teams and games for the NBA, NFL and MLB", "description": "This tool is an MCP server implementation that wraps the Balldontlie API, exposing data about players, teams, and games for the NBA, NFL, and MLB. It uses the Model Context Protocol to allow developers to query sports information from MCP-compatible environments. The codebase is written in JavaScript and is available on GitHub under the MIT license.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing to feed current US sports statistics into MCP-based agents or tools", "useCases": [ "Integrate live NBA, NFL, or MLB stats into an AI assistant or chatbot via MCP", "Build a sports data dashboard that pulls team rosters, game scores, and player info", "Prototype a natural language query interface for sports analytics without writing custom API clients" ], "pros": [ "Provides a standardized MCP interface for three major US sports leagues", "Lightweight JavaScript implementation with a simple setup", "Leverages the well-documented Balldontlie API for reliable data" ], "cons": [ "Limited to NBA, NFL, and MLB coverage only", "Low number of stars (24) suggests limited community adoption or maintenance certainty", "Requires an MCP-compatible host or client to function, not usable standalone" ], "tags": [ "mcp-server", "mlb", "model-context-protocol", "nba", "nfl" ], "featured": false, "tier": "curated", "stars": 24, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/mikechao/balldontlie-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mikechao-balldontlie-mcp" }, { "slug": "mikechao-brave-search-mcp", "name": "mikechao/brave-search-mcp", "vendor": "Various", "tagline": "An MCP Server implementation that integrates the Brave Search API, providing, Web Search, Local Points of Interest Search, Image Search, Video Search, News Search and LLM Context S", "description": "An MCP server that wraps the Brave Search API, offering web, local, image, video, news, and LLM context searches. It uses the Model Context Protocol to enable LLMs to query Brave Search through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building LLM agents that need real-time web search capabilities", "useCases": [ "Integrate web search into LLM agent workflows", "Retrieve local points of interest for location-aware AI assistants", "Add image, video, and news search to conversational applications" ], "pros": [ "Supports six search types from a single integration point", "Standard MCP protocol allows compatibility with multiple LLM platforms", "Active open-source project with 118 stars" ], "cons": [ "Requires a Brave Search API key (may have usage limits)", "MCP protocol adoption is still emerging, limiting ready-made client support", "Repository is community-maintained, not officially supported by Brave" ], "tags": [ "brave-search", "image-search", "mcp", "mcp-apps", "model-context-protocol", "news-search", "openai-apps-sdk", "video-search" ], "featured": false, "tier": "curated", "stars": 118, "language": [ "TypeScript" ], "license": "GPL-3.0", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/mikechao/brave-search-mcp", "relations": { "works_in": [ "claude-code", "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "exa-labs-exa-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mikechao-brave-search-mcp" }, { "slug": "mikechao-metmuseum-mcp", "name": "mikechao/metmuseum-mcp", "vendor": "Various", "tagline": "Met Museum MCP integration to discover the art collection at The Metropolitan Museum of Art in New York", "description": "An MCP server that provides access to The Metropolitan Museum of Art's collection via the Met's public API. It exposes tools for searching artworks, retrieving object details, and exploring departments.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI tools that need to query or reference the Met's art collection", "useCases": [ "Search the Met collection by keyword, artist, or department", "Retrieve detailed metadata for a specific artwork object", "Integrate museum data into AI assistants or creative tools" ], "pros": [ "Direct access to a world-class museum's public dataset", "Simple MCP interface for easy integration with AI agents", "Lightweight TypeScript implementation with clear API mapping" ], "cons": [ "Depends on the Met's public API rate limits and uptime", "Limited to read-only queries; no write or curation features", "Small community (27 stars) with minimal documentation beyond code" ], "tags": [ "art", "mcp-app", "mcp-apps", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 27, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/mikechao/metmuseum-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mikechao-metmuseum-mcp" }, { "slug": "mikkoparkkola-mcp-gateway", "name": "MikkoParkkola/mcp-gateway", "vendor": "Various", "tagline": "Universal MCP Gateway - Single-port multiplexing with Meta-MCP for ~95% context token savings", "description": "MikkoParkkola/mcp-gateway is a Rust-based gateway that multiplexes multiple MCP connections onto a single port. It uses a technique called Meta-MCP to reduce context token usage by approximately 95 percent.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers managing multiple MCP tools who want to minimize context token usage", "useCases": [ "Run multiple MCP servers behind one unified port", "Reduce token overhead when integrating MCP tools", "Simplify deployment by consolidating MCP endpoints" ], "pros": [ "Significant reduction in context token consumption", "Single-port multiplexing simplifies network configuration", "Rust implementation offers performance and safety" ], "cons": [ "Low star count indicates a small community and early-stage project", "May have limited documentation or examples", "Configuration complexity might increase with multiple MCP backends" ], "tags": [ "ai", "anthropic", "claude", "gateway", "llm", "mcp", "model-context-protocol", "multiplexer" ], "featured": false, "tier": "curated", "stars": 31, "language": [ "Rust" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/MikkoParkkola/mcp-gateway", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp", "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mikkoparkkola-mcp-gateway" }, { "slug": "mikkoparkkola-nab", "name": "MikkoParkkola/nab", "vendor": "Various", "tagline": "Ultra-minimal browser engine with HTTP/3, JS support, cookie auth, passkeys, and anti-fingerprinting", "description": "Nab is a minimal browser engine written in Rust. It supports HTTP/3, JavaScript, cookie authentication, passkeys, and anti-fingerprinting features.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring minimal Rust-based browser engines for specialized or experimental projects", "useCases": [ "Building lightweight, privacy-focused browsers", "Embedding basic web rendering into Rust applications", "Experimenting with modern web protocols in a minimal engine" ], "pros": [ "Ultra-minimal codebase, easy to understand and modify", "Supports recent web standards like HTTP/3 and passkeys", "Privacy-oriented design with anti-fingerprinting built in" ], "cons": [ "Very early stage with only 3 GitHub stars", "Limited community support and documentation", "Likely lacks full compatibility with complex web pages" ], "tags": [ "anti-bot", "browser-engine", "cli", "cookies", "http3", "passkeys", "rust", "url-to-markdown" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "Rust" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/MikkoParkkola/nab", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "browsermcp-mcp", "agent-infra-mcp-server-browser" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mikkoparkkola-nab" }, { "slug": "mikerecognex-mcp-codebase-index", "name": "MikeRecognex/mcp-codebase-index", "vendor": "Various", "tagline": "17 MCP query tools for codebase navigation — functions, classes, imports, dependency graphs, change impact. Zero dependencies. 87% token reduction.", "description": "Provides 17 MCP query tools for navigating codebases. It can find functions, classes, imports, dependency graphs, and change impact. The tool has zero dependencies and claims an 87% token reduction.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers working with Python codebases who need structured code navigation via MCP", "useCases": [ "Navigating large codebases quickly", "Analyzing dependency graphs", "Assessing change impact before refactoring" ], "pros": [ "Zero dependencies simplifies setup", "Covers multiple navigation needs with 17 tools", "Token reduction can lower LLM costs" ], "cons": [ "Limited community adoption with 53 stars", "Python only, not language-agnostic", "Requires an MCP client to use" ], "tags": [ "ai-coding", "ast-parser", "claude-code", "code-analysis", "code-navigation", "codebase-indexer", "dependency-graph", "mcp" ], "featured": false, "tier": "curated", "stars": 53, "language": [ "Python" ], "license": "AGPL-3.0", "lastUpdated": "2026-02-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/MikeRecognex/mcp-codebase-index", "relations": { "works_in": [ "claude-code", "cursor", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mikerecognex-mcp-codebase-index" }, { "slug": "mikusnuz-app-publish-mcp", "name": "mikusnuz/app-publish-mcp", "vendor": "Various", "tagline": "Unified MCP server for App Store Connect & Google Play Console — 91 tools for listings, screenshots, releases, reviews & submissions", "description": "A Model Context Protocol (MCP) server that provides 91 unified tools for managing app store listings, screenshots, releases, reviews, and submissions across App Store Connect and Google Play Console. It centralizes app store operations into a single API interface. Built with TypeScript, it enables developers to automate app store workflows programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers managing app store operations across both iOS and Android platforms", "useCases": [ "Update app store metadata and screenshots across platforms", "Submit app builds for review and manage releases", "Fetch and analyze user reviews for both stores" ], "pros": [ "Unified interface for both App Store Connect and Google Play Console", "91 individual tools provide fine-grained control", "TypeScript codebase offers type safety" ], "cons": [ "Only 10 GitHub stars, indicating early-stage development", "Requires an MCP-compatible client to integrate", "May have incomplete feature coverage compared to native APIs" ], "tags": [ "ai-tools", "android", "app-publishing", "app-store-connect", "google-play", "ios", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 10, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/mikusnuz/app-publish-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mobile-next-mobile-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mikusnuz-app-publish-mcp" }, { "slug": "mikusnuz-cws-mcp", "name": "mikusnuz/cws-mcp", "vendor": "Various", "tagline": "MCP server for Chrome Web Store — upload, publish, status, metadata & Playwright-based UI automation", "description": "An MCP server that provides programmatic access to the Chrome Web Store for uploading, publishing, checking status, and managing metadata. It also includes Playwright-based browser automation to handle UI interactions required during store operations. Built in JavaScript, it exposes capabilities through the Model Context Protocol for use in AI agent workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers looking to automate Chrome Web Store publishing and management via the Model Context Protocol", "useCases": [ "Upload a new extension to the Chrome Web Store", "Check the current status or metadata of a published extension", "Automate browser login and UI steps during store uploads" ], "pros": [ "Offers a scriptable interface for Chrome Web Store tasks that normally require manual browser work", "Uses Playwright for reliable browser automation where API endpoints are insufficient", "Open source and written in JavaScript, easy to integrate into Node.js toolchains" ], "cons": [ "Very low GitHub popularity (2 stars) indicating minimal community validation or support", "Requires local setup of Playwright and a browser instance, adding dependencies", "Limited to Chrome Web Store only, no support for other extension stores" ], "tags": [ "ai-tools", "browser-extension", "chrome-extension", "chrome-web-store", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/mikusnuz/cws-mcp", "relations": { "works_in": [ "cline", "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mikusnuz-cws-mcp" }, { "slug": "mikusnuz-meta-ads-mcp", "name": "mikusnuz/meta-ads-mcp", "vendor": "Various", "tagline": "MCP server for Meta Marketing API v25.0 — 135 tools for Facebook & Instagram ad campaign management", "description": "An MCP server that wraps Meta Marketing API v25.0, exposing 135 tools for managing Facebook and Instagram ad campaigns. Built in TypeScript, it lets AI agents create, read, update, and delete ads, audiences, and insights directly through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-driven ad management tools for Facebook and Instagram", "useCases": [ "Automate ad campaign creation and optimization via AI assistants", "Pull real-time ad performance metrics and audience insights", "Manage multiple ad accounts and campaigns programmatically" ], "pros": [ "Covers a wide range of Meta Marketing API endpoints (135 tools)", "TypeScript codebase is easy to extend and integrate", "Lets AI agents directly control ad workflows without manual API calls" ], "cons": [ "Requires Meta Business account and API access setup", "Limited to v25.0 of the Marketing API (may lag behind latest changes)", "Small community (48 stars) means less support and fewer examples" ], "tags": [ "advertising", "ai-tools", "campaign-management", "facebook-ads", "instagram-ads", "mcp", "mcp-server", "meta-marketing-api" ], "featured": false, "tier": "curated", "stars": 48, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/mikusnuz/meta-ads-mcp", "relations": { "works_in": [ "claude-code", "cline", "cursor", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mikusnuz-meta-ads-mcp" }, { "slug": "mikusnuz-dynadot-mcp", "name": "mikusnuz/dynadot-mcp", "vendor": "Various", "tagline": "MCP server for Dynadot domain registrar API3 — 60 tools for domains, DNS, contacts, transfers & more", "description": "An MCP server that wraps the Dynadot domain registrar API3, exposing 60 tools for managing domains, DNS, contacts, and transfers. It lets AI agents or MCP-compatible clients interact with Dynadot programmatically via TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-driven domain management tools on Dynadot", "useCases": [ "Automate domain registration and renewal workflows", "Manage DNS records and contact details through AI assistants", "Bulk transfer domains between registrars via MCP commands" ], "pros": [ "Covers a wide range of Dynadot API3 operations with 60 tools", "TypeScript implementation integrates easily with MCP ecosystems", "Open source with no vendor lock-in beyond Dynadot itself" ], "cons": [ "Requires a Dynadot account and API key to use", "No stars or community traction yet, maturity uncertain", "Limited to Dynadot's API3 capabilities and rate limits" ], "tags": [ "ai-tools", "dns", "domain", "domain-registrar", "dynadot", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/mikusnuz/dynadot-mcp", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mikusnuz-dynadot-mcp" }, { "slug": "mikusnuz-npm-mcp", "name": "mikusnuz/npm-mcp", "vendor": "Various", "tagline": "MCP server for npm package management — 32 tools for publish, install, audit, search, security & more", "description": "MCP server that provides 32 tools for npm package management. It supports operations like publishing, installing, auditing, searching, and security checks. The server integrates with the Model Context Protocol to enable AI-driven npm workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using MCP-based workflows who need to manage npm packages from AI assistants or automation pipelines", "useCases": [ "Automate npm package publishing and versioning", "Audit project dependencies for security vulnerabilities", "Search and install npm packages programmatically" ], "pros": [ "Covers a broad range of npm operations in one server", "Integrates with MCP for AI-driven automation", "Tools include security and auditing features" ], "cons": [ "New project with zero stars and limited community validation", "Requires running an MCP server and compatible client", "Documentation may be minimal or incomplete" ], "tags": [ "ai-tools", "mcp", "mcp-server", "model-context-protocol", "nodejs", "npm", "package-manager", "registry" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/mikusnuz/npm-mcp", "relations": { "works_in": [ "claude-code", "cline", "cursor", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mikusnuz-npm-mcp" }, { "slug": "mikusnuz-pexbot-mcp", "name": "mikusnuz/pexbot-mcp", "vendor": "Various", "tagline": "MCP server for pex.bot — AI simulated crypto trading with real-time Upbit prices. 11 tools, 5 resources, 5 prompts.", "description": "Mikusnuz/pexbot-mcp is an MCP server that connects AI agents to pex.bot for simulated cryptocurrency trading using real-time prices from Upbit. It exposes 11 tools, 5 resources, and 5 prompts for building trading experiments.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-driven crypto trading experiments or prototypes", "useCases": [ "Simulate crypto trading strategies with AI agents", "Fetch real-time Upbit price data for analysis", "Prototype trading bots without risking real funds" ], "pros": [ "Provides a structured MCP interface for AI trading simulations", "Uses live market data from Upbit for realistic testing", "Includes multiple tools, resources, and prompts for flexibility" ], "cons": [ "No real trading capability, only simulation", "Limited to Upbit exchange data", "Zero GitHub stars suggests minimal community adoption or testing" ], "tags": [ "ai-agent", "ai-tools", "autonomous-trading", "crypto", "mcp", "mcp-server", "model-context-protocol", "paper-trading" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/mikusnuz/pexbot-mcp", "relations": { "works_in": [ "cline", "cursor", "claude-code" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mikusnuz-pexbot-mcp" }, { "slug": "milofax-xert-mcp", "name": "Milofax/xert-mcp", "vendor": "Various", "tagline": "Model Context Protocol (MCP) server for XERT API - access fitness signature, training load, workouts and activities", "description": "MCP server that bridges AI agents (e.g., Claude) to the XERT API, exposing endpoints for fitness signatures, training load, workouts, and activities. Built in TypeScript, it allows AI assistants to query and process athlete performance data directly through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that analyze athlete training data from XERT", "useCases": [ "Fetch and analyze training load metrics from XERT", "Retrieve athlete fitness signatures for performance insights", "Integrate workout and activity data into AI-driven coaching tools" ], "pros": [ "TypeScript implementation offers type safety and easy integration", "Direct MCP interface simplifies AI access to XERT data", "Lightweight server tailored for a specific fitness API use case" ], "cons": [ "Limited to features exposed by the XERT API", "Requires XERT account and API credentials to function", "Small community with minimal documentation due to low star count" ], "tags": [ "ai", "claude", "cycling", "fitness", "mcp", "mcp-server", "model-context-protocol", "training" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "TypeScript" ], "lastUpdated": "2026-03-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/Milofax/xert-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/milofax-xert-mcp" }, { "slug": "mindscapehq-server-raygun", "name": "MindscapeHQ/server-raygun", "vendor": "Various", "tagline": "Give your AI coding assistants access to Raygun so they can investigate, explain, and help resolve errors for you.", "description": "An MCP server that connects AI coding assistants to Raygun error monitoring data. It allows assistants to fetch, investigate, and explain errors so developers can resolve them faster without leaving their chat interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers already using Raygun who want AI-assisted error investigation and resolution", "useCases": [ "Let an AI assistant automatically fetch and summarize Raygun crash reports", "Ask an AI to explain the root cause of a production error from Raygun data", "Get AI-generated fix suggestions based on Raygun error context" ], "pros": [ "Integrates existing Raygun error tracking into AI chat workflows", "Reduces time spent manually digging through error dashboards", "Open source with active maintenance (21 stars)" ], "cons": [ "Requires an active Raygun subscription and API credentials", "Only works with MCP-compatible AI coding assistants", "Limited to Raygun data — not a general debugging tool" ], "tags": [ "error-reporting", "llm-agents", "mcp", "real-user-monitoring" ], "featured": false, "tier": "curated", "stars": 21, "language": [], "lastUpdated": "2026-03-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/MindscapeHQ/mcp-server-raygun", "relations": { "works_in": [ "cursor", "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mindscapehq-server-raygun" }, { "slug": "mikusnuz-umami-mcp", "name": "mikusnuz/umami-mcp", "vendor": "Various", "tagline": "Full-coverage MCP server for Umami Analytics API v2 — 66 tools, 2 resources, 2 prompts", "description": "A TypeScript MCP server that exposes 66 tools, 2 resources, and 2 prompts covering the Umami Analytics API v2. It allows builders to query and manage analytics data through the Model Context Protocol for integration with AI assistants and automation workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing an MCP bridge to Umami Analytics for AI agent workflows", "useCases": [ "Querying website traffic and event data from Umami via MCP-enabled agents", "Automating analytics report generation with LLM tool calls", "Integrating Umami dashboards into custom AI-powered analysis pipelines" ], "pros": [ "Comprehensive coverage with 66 tools for the Umami API v2", "Written in TypeScript for type safety and easy contribution", "MCP protocol enables flexible use with many AI clients" ], "cons": [ "Very low community adoption with only 1 star on GitHub", "Potential instability or lack of maintenance due to limited interest", "No documented examples or usage guides beyond the repository description" ], "tags": [ "ai-tools", "analytics", "mcp", "mcp-server", "model-context-protocol", "self-hosted", "umami", "web-analytics" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/mikusnuz/umami-mcp", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mikusnuz-umami-mcp" }, { "slug": "mindsdb-mindsdb", "name": "mindsdb/mindsdb", "vendor": "Various", "tagline": "Platform dedicated to building an open foundation for applied Artificial Intelligence, designed for people seeking production-ready AI systems they can truly control, extend and de", "description": "MindsDB is an open-source platform that bridges databases and machine learning by treating AI models as queryable tables. You write SQL to train, deploy, and invoke models directly against your data sources, eliminating the need to move data between systems.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Data engineers and analysts who want to build ML pipelines without leaving SQL or their existing databases", "useCases": [ "Query predictions from trained models using standard SQL syntax", "Automate model training and retraining on database updates", "Deploy ML models to production without separate infrastructure" ], "pros": [ "SQL-first interface reduces friction for data teams unfamiliar with Python ML workflows", "Works with multiple data sources and databases out of the box", "Open source with active community and self-hostable deployment options" ], "cons": [ "Requires learning MindsDB-specific SQL extensions beyond standard SQL", "Performance depends on underlying database and model complexity", "Smaller ecosystem compared to established ML platforms like MLflow or Kubeflow" ], "tags": [ "agents", "ai", "analytics", "artificial-inteligence", "bigquery", "business-intelligence", "databases", "hacktoberfest" ], "featured": false, "tier": "curated", "stars": 39231, "language": [ "Python" ], "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/mindsdb/mindsdb", "relations": { "works_in": [], "uses": [ "tensorflow", "pytorch", "scikit-learn" ], "built_with": [ "keras", "pytorch" ], "pairs_with": [ "langchain", "dify" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mindsdb-mindsdb" }, { "slug": "minhoyoo-iotrust-waiaas", "name": "minhoyoo-iotrust/WAIaaS", "vendor": "Various", "tagline": "Wallet-as-a-Service for all AI agents in the world", "description": "A wallet-as-a-service repository targeting AI agents. It provides infrastructure for AI agents to manage digital wallets, likely supporting operations such as key storage and transaction execution. The codebase is written in TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that require automated blockchain wallet capabilities", "useCases": [ "Enabling AI agents to make blockchain payments", "Managing cryptographic keys for autonomous agents", "Integrating wallet services into AI agent frameworks" ], "pros": [ "Lightweight TypeScript implementation", "Open-source with potential for community contributions", "Focused on the emerging AI-agent wallet niche" ], "cons": [ "Limited adoption with only 26 stars", "Narrow scope may not suit general wallet needs", "Undocumented beyond basic repository description" ], "tags": [ "ai-agent", "blockchain", "crypto", "defi", "ethereum", "llm-tools", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 26, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/minhoyoo-iotrust/WAIaaS", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/minhoyoo-iotrust-waiaas" }, { "slug": "misiektoja-kill-process-mcp", "name": "misiektoja/kill-process-mcp", "vendor": "Various", "tagline": "AI-powered cross-platform MCP server exposing LLM-accessible tools to list and terminate OS processes via natural language queries", "description": "This is an open source MCP server written in Python. It exposes tools that let an LLM list and terminate operating system processes using natural language queries. It works cross-platform.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to manage OS processes through conversational AI interfaces", "useCases": [ "Terminate unresponsive processes through natural language", "List running processes via an LLM interface", "Integrate process management into AI assistants" ], "pros": [ "Cross-platform compatibility", "Enables natural language process management", "Simple Python setup and deployment" ], "cons": [ "Limited community support (12 GitHub stars)", "Requires an LLM to use the MCP server", "Potential security risk allowing process termination via an LLM" ], "tags": [ "kill-process", "llm", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 12, "language": [ "Python" ], "license": "GPL-3.0", "lastUpdated": "2026-02-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/misiektoja/kill-process-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "wonderwhy-er-desktopcommandermcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/misiektoja-kill-process-mcp" }, { "slug": "minhyeoky-mcp-server-ledger", "name": "minhyeoky/mcp-server-ledger", "vendor": "Various", "tagline": "A Model Context Protocol server for interacting with Ledger CLI, a powerful double-entry accounting system. This server enables Large Language Models to query and analyze financial", "description": "A Model Context Protocol server that provides a standardized interface for LLMs to interact with Ledger CLI double-entry accounting data. It allows AI assistants to execute queries and perform financial analysis on ledger files.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers adding financial query capabilities to AI assistants", "useCases": [ "Query account balances and transactions via natural language", "Generate income statements and balance sheet reports", "Analyze budget versus actual spending patterns" ], "pros": [ "Enables natural language interaction with existing ledger data", "Standard Protocol interface simplifies LLM integration", "Leverages mature, reliable Ledger CLI tooling" ], "cons": [ "Requires Ledger CLI installed and configured separately", "Limited to read-only queries, cannot modify ledger entries", "Small community (48 stars) and sparse documentation" ], "tags": [], "featured": false, "tier": "curated", "stars": 48, "language": [ "Python" ], "lastUpdated": "2025-10-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/minhyeoky/mcp-server-ledger", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "haris-musa-excel-mcp-server", "idosal-git-mcp", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/minhyeoky-mcp-server-ledger" }, { "slug": "mission69b-t2000", "name": "mission69b/t2000", "vendor": "Various", "tagline": "Agentic finance infrastructure.", "description": "mission69b/t2000 is a TypeScript library providing agentic finance infrastructure. It enables developers to build automated financial agents that can execute trades, manage portfolios, and interact with DeFi protocols.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with agentic finance in TypeScript who are comfortable working with minimal documentation.", "useCases": [ "Building automated trading bots with agentic decision-making", "Integrating portfolio management into DeFi applications", "Creating financial agents that execute multi-step strategies" ], "pros": [ "TypeScript support for type-safe financial agent development", "Open-source with a permissive license for customization", "Focused on agentic workflows rather than just raw API wrappers" ], "cons": [ "Very low community adoption (20 stars) suggests limited testing and support", "No documentation or examples provided in the repository", "Unclear reliability or maintenance status due to minimal activity" ], "tags": [ "agentic", "agentic-finance", "ai", "ai-agent", "blockchain", "crypto", "defi", "mcp" ], "featured": false, "tier": "curated", "stars": 20, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/mission69b/t2000", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mission69b-t2000" }, { "slug": "mladensu-cli-mcp-server", "name": "MladenSU/cli-mcp-server", "vendor": "Various", "tagline": "Command line interface for MCP clients with secure execution and customizable security policies", "description": "A Python-based command-line interface server that implements the Model Context Protocol (MCP) for clients. It enables secure execution of CLI commands with customizable security policies.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building tools that need secure CLI access within MCP workflows", "useCases": [ "Integrating CLI tools with MCP-compatible clients", "Running shell commands with controlled permissions", "Automating command execution with policy enforcement" ], "pros": [ "Open source with 170 GitHub stars", "Customizable security policies for fine-grained access control", "Python codebase easy to extend for developers" ], "cons": [ "Requires MCP-compatible clients to be used", "Security policies must be manually configured per use case", "Relatively small community and limited documentation" ], "tags": [], "featured": false, "tier": "curated", "stars": 170, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-07-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/MladenSU/cli-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "wonderwhy-er-desktopcommandermcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mladensu-cli-mcp-server" }, { "slug": "mlava-scholar-sidekick-mcp", "name": "mlava/scholar-sidekick-mcp", "vendor": "Various", "tagline": "MCP server for Scholar Sidekick — resolve any scholarly identifier (DOI, PMID, PMCID, ISBN, arXiv, ISSN, ADS, WHO IRIS) into 10,000+ CSL styles or nine export formats, single or ba", "description": "An MCP server that resolves scholarly identifiers (DOI, PMID, PMCID, ISBN, arXiv, ISSN, ADS, WHO IRIS) into formatted citations. It supports single or batch conversion to over 10,000 CSL styles or nine export formats.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Researchers and developers who need to automate citation formatting in MCP-compatible tools", "useCases": [ "Convert a batch of DOIs to APA or MLA citations for a reference list", "Resolve an arXiv ID to a BibTeX entry for a LaTeX paper", "Format a PMID into a Vancouver-style citation for a medical manuscript" ], "pros": [ "Supports a wide range of scholarly identifiers and export formats", "Batch processing saves time on large reference lists", "Integrates directly into MCP-compatible editors and workflows" ], "cons": [ "Requires an MCP client to use, limiting standalone utility", "Low GitHub star count suggests limited community adoption", "No offline mode; depends on network access to resolution services" ], "tags": [ "academic", "agent-skills", "arxiv", "bibliography", "bibtex", "citations", "claude", "claude-skill" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/mlava/scholar-sidekick-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mlava-scholar-sidekick-mcp" }, { "slug": "mlorentedev-hive", "name": "mlorentedev/hive", "vendor": "Various", "tagline": "Context infrastructure for AI-assisted development — on-demand Obsidian vault access via MCP", "description": "Hive provides on-demand access to Obsidian vaults via the Model Context Protocol (MCP), enabling AI development tools to use personal notes as context. It is a Python-based infrastructure layer that connects AI assistants to structured knowledge stored in Obsidian.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who use Obsidian and want AI tools to reference their notes on demand", "useCases": [ "Feeding Obsidian notes as context to AI coding assistants", "Querying personal knowledge vaults during development sessions", "Integrating existing Markdown notes into AI prompt workflows" ], "pros": [ "Directly leverages existing Obsidian vaults without migration", "On-demand access reduces manual context preparation", "Simple MCP interface for AI tool integration" ], "cons": [ "Requires an Obsidian vault and its local files", "Limited to what MCP supports and Python environment setup", "Small user base and minimal community support" ], "tags": [ "ai", "claude-code", "context-management", "developer-tools", "mcp", "obsidian", "python", "vault" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/mlorentedev/hive", "relations": { "works_in": [ "claude-code", "cursor", "continue", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mlorentedev-hive" }, { "slug": "mmntm-weblate-mcp", "name": "mmntm/weblate-mcp", "vendor": "Various", "tagline": "📇 ☁️ - Comprehensive Model Context Protocol server for Weblate translation management, enabling AI assistants to perform translation tasks, project management, and content discove", "description": "mmntm/weblate-mcp is a Model Context Protocol server that connects AI assistants to Weblate translation management. It enables automated translation tasks, project management, and content discovery through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and teams using Weblate who want to automate translation management with AI assistants", "useCases": [ "Automate translation workflows for multilingual projects", "Manage Weblate projects, components, and translations via AI assistants", "Discover and retrieve translation content across Weblate instances" ], "pros": [ "Standardized MCP interface simplifies integration with AI tools", "Written in TypeScript for type safety and broad compatibility", "Open source with a permissive license for customization" ], "cons": [ "Small community with only 19 stars, limited support and documentation", "Requires a running Weblate instance, adding infrastructure overhead", "Dependent on MCP ecosystem adoption for full utility" ], "tags": [], "featured": false, "tier": "curated", "stars": 19, "language": [ "TypeScript" ], "lastUpdated": "2026-02-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/mmntm/weblate-mcp", "relations": { "works_in": [ "claude-code", "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mmntm-weblate-mcp" }, { "slug": "mmorris35-devplan-mcp-server", "name": "mmorris35/devplan-mcp-server", "vendor": "Various", "tagline": "MCP server for generating development plans, project roadmaps, and task breakdowns for Claude Code. Turn project ideas into paint-by-numbers implementation plans.", "description": "mmorris35/devplan-mcp-server is an MCP (Model Context Protocol) server that generates development plans, project roadmaps, and task breakdowns for use with Claude Code. It transforms project ideas into structured, step-by-step implementation plans. Built in TypeScript, it integrates directly into Claude Code's workflow.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude Code who want automated project planning and task decomposition.", "useCases": [ "Generate a development plan from a high-level project description", "Break down a feature roadmap into actionable tasks", "Create a step-by-step implementation guide for a new feature" ], "pros": [ "Integrates directly with Claude Code for inline planning", "Automates the creation of structured task breakdowns", "Outputs clear, step-by-step implementation plans" ], "cons": [ "Limited community adoption (4 stars) may indicate early-stage maturity", "Requires Claude Code and the MCP protocol to be configured", "Narrow use case specific to Claude Code workflows" ], "tags": [ "ai-coding", "claude", "claude-code", "development-plan", "mcp", "mcp-server", "prd", "project-planning" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "TypeScript" ], "lastUpdated": "2026-03-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/mmorris35/devplan-mcp-server", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [ "eyaltoledano-claude-task-master" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mmorris35-devplan-mcp-server" }, { "slug": "mnemox-ai-idea-reality-mcp", "name": "mnemox-ai/idea-reality-mcp", "vendor": "Various", "tagline": "Pre-build reality check for AI coding agents. Scans GitHub, HN, npm, PyPI, Product Hunt. MCP server. 290+ stars.", "description": "An MCP server that scans GitHub, Hacker News, npm, PyPI, and Product Hunt to give AI coding agents a pre-build reality check. It helps agents validate whether an idea already exists or has traction before they start coding.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "AI coding agents that need to avoid reinventing the wheel", "useCases": [ "Validating if a project idea already exists on GitHub", "Checking community traction on Hacker News or Product Hunt", "Assessing package availability on npm or PyPI" ], "pros": [ "Covers multiple popular platforms for a broad reality check", "Reduces wasted development by catching prior art early", "MCP protocol enables easy integration with AI coding agents" ], "cons": [ "Limits scanning to the five listed platforms", "Requires network access and API calls to each platform", "Reality check depends on public data which may be incomplete" ], "tags": [ "ai-agents", "developer-tools", "github-api", "idea-validation", "market-research", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 708, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/mnemox-ai/idea-reality-mcp", "relations": { "works_in": [ "cline", "cursor", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mnemox-ai-idea-reality-mcp" }, { "slug": "mnemox-ai-tradememory-protocol", "name": "mnemox-ai/tradememory-protocol", "vendor": "Various", "tagline": "Decision audit trail + persistent memory for AI trading agents. Outcome-weighted recall, SHA-256 tamper detection, 17 MCP tools.", "description": "An open-source Python library that provides a decision audit trail and persistent memory for AI trading agents. It uses outcome-weighted recall to prioritize past decisions and SHA-256 hashing for tamper detection. The library includes 17 MCP tools for integration.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI trading agents that need auditable, persistent memory", "useCases": [ "Auditing trading agent decisions with tamper-evident logs", "Persisting agent memory across trading sessions", "Improving decision recall by weighting outcomes" ], "pros": [ "Tamper detection via SHA-256 hashing ensures audit integrity", "Outcome-weighted recall helps agents learn from past results", "Open source with 1,082 stars and active community" ], "cons": [ "Limited to trading agent use cases", "Requires integration with existing agent frameworks", "Dependency on MCP tools may add setup complexity" ], "tags": [ "ai-agents", "claude", "crypto", "evolution-engine", "forex", "mcp", "mcp-server", "memory" ], "featured": false, "tier": "curated", "stars": 1082, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/mnemox-ai/tradememory-protocol", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "topoteretes-cognee", "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mnemox-ai-tradememory-protocol" }, { "slug": "mnlt-wellread", "name": "mnlt/wellread", "vendor": "Various", "tagline": "Collective research memory for AI agents", "description": "Wellread is a TypeScript library that gives AI agents a shared, persistent memory for research context. It stores and retrieves structured knowledge across sessions, enabling agents to build on past findings without repeating work.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building multi-agent systems that need persistent research memory", "useCases": [ "Persisting research context across multiple agent conversations", "Building a shared knowledge base for collaborative AI agents", "Reducing redundant queries by caching prior research results" ], "pros": [ "Lightweight TypeScript library with minimal dependencies", "Designed specifically for agent-to-agent memory sharing", "Open source with a permissive license" ], "cons": [ "Limited community adoption with only 8 GitHub stars", "No documented support for non-TypeScript environments", "Unclear integration complexity with existing agent frameworks" ], "tags": [], "featured": false, "tier": "curated", "stars": 8, "language": [ "TypeScript" ], "license": "AGPL-3.0", "lastUpdated": "2026-04-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/mnlt/wellread", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "upstash-context7", "topoteretes-cognee" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mnlt-wellread" }, { "slug": "mobb-dev-mobb-vibe-shield-mcp", "name": "mobb-dev/mobb-vibe-shield-mcp", "vendor": "Various", "tagline": "Automatic security vulnerability remediation for your code.", "description": "An MCP server that automatically remediates security vulnerabilities in your code. It scans codebases for known security issues and applies fixes, integrating with AI coding assistants via the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using AI coding assistants who want automated security vulnerability remediation", "useCases": [ "Scan a codebase for security vulnerabilities during development", "Automatically apply patches for common security flaws", "Integrate security remediation into an AI-powered coding workflow" ], "pros": [ "Automates security fixes, saving manual review time", "Works with MCP-compatible AI tools for seamless integration", "Open source with a growing community (66 stars)" ], "cons": [ "Limited to vulnerabilities it can detect and fix automatically", "May not cover all security contexts or custom code patterns", "Requires an MCP-compatible client to be fully utilized" ], "tags": [ "ai", "code-assistant", "mcp", "npm-package", "remediation", "security", "security-tools" ], "featured": false, "tier": "curated", "stars": 66, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/mobb-dev/bugsy?tab=readme-ov-file#model-context-protocol-mcp-server", "relations": { "works_in": [ "cline", "claude-code", "continue", "cursor" ], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mobb-dev-mobb-vibe-shield-mcp" }, { "slug": "mobile-next-mobile-mcp", "name": "mobile-next/mobile-mcp", "vendor": "Various", "tagline": "Model Context Protocol Server for Mobile Automation and Scraping (iOS, Android, Emulators, Simulators and Real Devices)", "description": "An open-source Model Context Protocol server that enables automation and scraping on iOS, Android, emulators, simulators and real devices. It provides a standardized interface for controlling mobile devices programmatically via the Model Context Protocol. The project is written in TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to automate mobile device interactions from LLM-based tools or agents", "useCases": [ "Automating mobile app testing workflows across different device types", "Scraping data from mobile applications for analysis", "Integrating mobile device control into LLM or agent toolchains" ], "pros": [ "Supports a wide range of devices including emulators, simulators and real hardware", "Open source with over 5,000 stars indicating community interest", "Standardized protocol makes it reusable across different tools" ], "cons": [ "Requires setting up appropriate device environments for each platform", "May have limited functionality compared to native automation frameworks", "Dependent on the evolving Model Context Protocol specification" ], "tags": [ "agent", "android", "emulator", "ios", "mcp", "mobile", "physical", "real" ], "featured": false, "tier": "curated", "stars": 5083, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/mobile-next/mobile-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mobile-next-mobile-mcp" }, { "slug": "mobilereality-mdma", "name": "MobileReality/mdma", "vendor": "Various", "tagline": "Interactive documents from Markdown. Extends MD with forms, approvals, webhooks, and more — built for next gen apps", "description": "Turns Markdown into interactive documents by adding forms, approval workflows, and webhook integrations. It extends standard Markdown syntax and is built as an MCP (Model Context Protocol) server, making it usable in AI-assisted development contexts.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers prototyping interactive documentation or approval workflows within MCP-powered environments", "useCases": [ "Creating markdown-based approval forms that trigger actions on submission", "Embedding interactive webhooks directly into documentation pages", "Building next-generation applications where documents are both human-readable and machine-executable" ], "pros": [ "Keeps content in familiar Markdown format while adding interactivity", "Lightweight project with a focused feature set for document-driven workflows", "Integrates with the Model Context Protocol for AI tool orchestration" ], "cons": [ "Very early stage with only 13 stars on GitHub", "Limited community and documentation may hinder onboarding", "Requires an MCP-compatible runtime, restricting standalone use" ], "tags": [ "agent-skills", "ai-agents", "claude-skill", "generative-ui", "interactive-markdown", "llm", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 13, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/MobileReality/mdma/tree/main/packages/mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "microsoft-markitdown" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mobilereality-mdma" }, { "slug": "mobileshop9991-star-clipwise-mcp", "name": "mobileshop9991-star/clipwise-mcp", "vendor": "Various", "tagline": "MCP server for Clipwise — AI tools for short-form video creators (TikTok, Reels, Shorts)", "description": "An MCP server that provides a standardized interface for Clipwise's AI tools designed for short-form video creators. It enables integration of Clipwise capabilities into MCP-compatible environments using JavaScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to integrate Clipwise's short-form video AI into custom MCP-based tools", "useCases": [ "Automating video editing tasks for TikTok, Reels, and Shorts", "Building custom workflows that leverage Clipwise's AI features", "Connecting Clipwise to other tools via the MCP protocol" ], "pros": [ "Open source and follows the MCP standard for interoperability", "Written in JavaScript, accessible to a wide developer audience", "Taps into Clipwise's AI features for video creation" ], "cons": [ "Zero stars indicates very early stage with minimal adoption or validation", "Depends entirely on Clipwise's availability and API stability", "Limited community support and documentation due to newness" ], "tags": [ "ai", "claude", "claude-desktop", "clipwise", "content-creation", "content-creator", "instagram-reels", "llm-tools" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/mobileshop9991-star/clipwise-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mobileshop9991-star-clipwise-mcp" }, { "slug": "mockherodev-mcp-server", "name": "mockherodev/mcp-server", "vendor": "Various", "tagline": "mockherodev/mcp-server — indexed from awesome-mcp-servers-punkpeye", "description": "mockherodev/mcp-server is a TypeScript implementation of a Model Context Protocol (MCP) server. It is listed in the awesome-mcp-servers collection and is part of the mockhero project, which focuses on creating mock services for development and testing.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a lightweight MCP server for mocking and prototyping in TypeScript", "useCases": [ "Mocking MCP endpoints during local development", "Simulating MCP interactions for integration testing", "Prototyping MCP-based tools and services" ], "pros": [ "Written in TypeScript for type safety and easier debugging", "Open source and freely available on GitHub", "Part of a structured monorepo for potential consistency with other mockhero tools" ], "cons": [ "Zero GitHub stars indicates minimal community adoption or validation", "Lack of documentation or usage examples beyond the repository structure", "Unclear maintenance status and no evidence of recent updates" ], "tags": [ "api", "database", "developer-tools", "faker", "mcp-server", "mock-data", "nextjs", "seed-data" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/dinosaur24/mockhero/tree/main/packages/mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [ "awslabs-mcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mockherodev-mcp-server" }, { "slug": "model-context-protocol-mcp-quickstart", "name": "Model Context Protocol (MCP) Quickstart", "vendor": "Various", "tagline": "Model Context Protocol (MCP) is an open-source standard released by Anthropic in November 2024 that enables AI models to interact with external data sources through a unified int", "description": "Model Context Protocol (MCP) is an open-source standard released by Anthropic in November 2024. It defines a unified interface for AI models to query external data sources such as databases, APIs, and file systems. This quickstart guide shows developers how to set up and integrate MCP into their workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need secure, structured access to diverse external data sources", "useCases": [ "Connecting an AI assistant to a company’s PostgreSQL database for real-time queries", "Enabling an AI model to fetch data from a REST API based on user intent", "Centralizing data access controls for multiple AI agents across different systems" ], "pros": [ "Standardizes how AI models access external data, reducing integration effort", "Open-source and vendor-neutral, allowing community contributions", "Provides a clear separation between AI model and data source, improving security" ], "cons": [ "Requires implementing or configuring MCP-specific servers for each data source", "Still early-stage; ecosystem and tooling are limited", "May introduce latency overhead compared to direct API calls" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://glama.ai/blog/2024-11-25-model-context-protocol-quickstart", "screenshotUrl": "https://glama.ai/generated-images/og?subTitle=Introducing+Model+Context+Protocol+%28MCP%29&title=Model+Context+Protocol+%28MCP%29+Quickstart", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp", "awslabs-mcp", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/model-context-protocol-mcp-quickstart" }, { "slug": "modelcontextprotocol-server-puppeteer", "name": "modelcontextprotocol/server-puppeteer", "vendor": "Various", "tagline": "Reference MCP servers that are no longer maintained", "description": "An archived reference implementation of an MCP server that uses Puppeteer for browser automation. It was originally part of the modelcontextprotocol/servers collection but is no longer maintained or updated.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers studying archived MCP reference implementations or evaluating historical protocol patterns", "useCases": [ "Experimenting with MCP server patterns for browser control", "Learning how to integrate Puppeteer with the MCP protocol", "Legacy projects that depend on this specific unmaintained server" ], "pros": [ "Lightweight JavaScript implementation with only 270 stars", "Served as official reference for MCP server design with Puppeteer", "Good starting point for understanding MCP connection architecture" ], "cons": [ "No longer maintained, receives no updates or security fixes", "Likely incompatible with current MCP protocol versions or Puppeteer releases", "No community support or documentation improvements" ], "tags": [], "featured": false, "tier": "curated", "stars": 270, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2025-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/modelcontextprotocol/servers-archived/tree/main/src/puppeteer", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "agent-infra-mcp-server-browser", "browsermcp-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/modelcontextprotocol-server-puppeteer" }, { "slug": "mohamedabdallah-14-prompt-to-asset", "name": "MohamedAbdallah-14/prompt-to-asset", "vendor": "Various", "tagline": "MCP server + CLI for production-grade software assets (logos, app icons, favicons, OG, illustrations) — routes across 30+ image models, zero-key first, validates before shipping.", "description": "An MCP server and CLI for generating production-grade software assets such as logos, app icons, favicons, OG images, and illustrations. It routes prompts across 30+ image generation models, supports a zero-key mode for initial testing, and validates assets before output.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to quickly generate multiple types of software assets from text prompts without manually switching between image services", "useCases": [ "Generate app icons from a prompt for a new project", "Create favicons and OG images for a website or web app", "Produce consistent illustrations across different image models" ], "pros": [ "Routes across 30+ models, giving flexibility in output style", "Zero-key mode lets you try the tool without setting up API keys", "Validates assets before final output, reducing bad results" ], "cons": [ "Very new project with only 7 stars and likely limited stability", "Depends on external image generation APIs that can fail or have costs", "Small community means less support and fewer examples" ], "tags": [ "app-icon", "asset-generation", "claude-code", "cli", "cursor", "favicon", "flux", "gpt-image-1" ], "featured": false, "tier": "curated", "stars": 7, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/MohamedAbdallah-14/prompt-to-asset", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "glips-figma-context-mcp", "ahujasid-blender-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mohamedabdallah-14-prompt-to-asset" }, { "slug": "molanojustin-smithsonian-mcp", "name": "molanojustin/smithsonian-mcp", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server that provides AI assistants with access to the Smithsonian Institution's Open Access collections.", "description": "A Model Context Protocol (MCP) server that exposes the Smithsonian Institution's Open Access collections to AI assistants. It allows MCP-compatible clients to search and retrieve collection data via standard MCP tool calls.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-enabled AI assistants focused on cultural heritage or museum data", "useCases": [ "Search Smithsonian collections for objects by keyword or category", "Retrieve detailed metadata and images from the Open Access API", "Integrate cultural heritage data into MCP-based AI assistant workflows" ], "pros": [ "Provides structured access to millions of Smithsonian digital records", "Simple MCP interface works with any compatible client", "Open source and easy to self-host or extend" ], "cons": [ "Limited to Smithsonian collections data only", "Depends on external Smithsonian API availability and rate limits", "Relatively small project with low community activity (9 stars)" ], "tags": [], "featured": false, "tier": "curated", "stars": 9, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/molanojustin/smithsonian-mcp", "relations": { "works_in": [ "claude-code", "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/molanojustin-smithsonian-mcp" }, { "slug": "monadsag-capsulecrm-mcp", "name": "MonadsAG/capsulecrm-mcp", "vendor": "Various", "tagline": "📇 ☁️ Allows AI clients to manage contacts, opportunities and tasks in Capsule CRM including Claude Desktop ready DTX-file", "description": "An MCP server that enables AI clients to manage contacts, opportunities, and tasks in Capsule CRM. It is written in Python and includes a Claude Desktop ready DTX-file for easy integration.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-powered CRM assistants for Capsule CRM users", "useCases": [ "Automating contact creation and updates via AI assistants", "Managing sales opportunities through natural language commands", "Tracking tasks and follow-ups with Capsule CRM from AI chat interfaces" ], "pros": [ "Open source and Python-based, easy to extend or customize", "Provides a ready-to-use DTX-file for Claude Desktop integration", "Directly connects AI clients to Capsule CRM without custom API coding" ], "cons": [ "Zero stars on GitHub indicates limited community adoption or testing", "Requires a Capsule CRM account and API credentials to function", "No documented examples or usage guides beyond the basic description" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/MonadsAG/capsulecrm-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "eyaltoledano-claude-task-master", "sooperset-mcp-atlassian" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/monadsag-capsulecrm-mcp" }, { "slug": "moltycel-moltrust-mcp-server", "name": "MoltyCel/moltrust-mcp-server", "vendor": "Various", "tagline": "MCP server for MolTrust — Trust Infrastructure for AI Agents", "description": "MoltyCel/moltrust-mcp-server is an MCP server that provides trust infrastructure for AI agents. It implements the Model Context Protocol to allow agents to verify identities, manage permissions, and establish secure interactions. Built in Python, it serves as a lightweight trust layer for multi-agent systems.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers prototyping trust mechanisms for AI agent systems", "useCases": [ "Integrate trust verification into AI agent workflows", "Manage agent identities and access permissions", "Enable secure agent-to-agent communication" ], "pros": [ "Open-source and Python-based, easy to integrate into Python ecosystems", "Implements the standardized MCP protocol for agent interoperability", "Provides a dedicated trust layer for autonomous agent systems" ], "cons": [ "Very early stage with only 1 GitHub star and limited community", "Minimal documentation or usage examples available", "Stability and feature completeness are unproven in production" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/MoltyCel/moltrust-mcp-server", "relations": { "works_in": [ "claude-code", "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/moltycel-moltrust-mcp-server" }, { "slug": "montumodi-mongodb-atlas-mcp-server", "name": "montumodi/mongodb-atlas-mcp-server", "vendor": "Various", "tagline": "MCP server for mongodb atlas api. Internally uses mongodb-atlas-api-client", "description": "MCP server for the MongoDB Atlas API. It wraps the mongodb-atlas-api-client to expose Atlas operations as tools for MCP-compatible clients. Written in JavaScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with MCP and MongoDB Atlas automation", "useCases": [ "Managing MongoDB Atlas clusters and projects via natural language", "Automating Atlas administrative tasks in MCP-enabled AI assistants", "Integrating Atlas API operations into custom MCP tool ecosystems" ], "pros": [ "Lightweight JavaScript implementation", "Leverages the official mongodb-atlas-api-client for reliable API interactions", "Simple setup for MCP clients" ], "cons": [ "Very early stage with limited adoption (2 stars)", "Documentation is sparse", "May not cover all Atlas API endpoints" ], "tags": [ "llm", "mcp", "mcp-server", "mongo", "mongodb-atlas", "mongodb-atlas-api", "node", "nodejs" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/montumodi/mongodb-atlas-mcp-server", "relations": { "works_in": [ "cline", "cursor", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/montumodi-mongodb-atlas-mcp-server" }, { "slug": "mopanc-depguard", "name": "mopanc/depguard", "vendor": "Various", "tagline": "Audit npm packages for security, maintenance, licenses and dependencies. Recommends install or write-from-scratch.", "description": "A TypeScript CLI tool that audits npm packages for security vulnerabilities, maintenance status, license compliance, and dependency quality. It evaluates each package and recommends whether to install it or write the functionality from scratch.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Solo developers or small teams needing a quick sanity check on a few npm dependencies", "useCases": [ "Auditing a package's security and maintenance health before adding it to a project", "Checking license compatibility across a project's dependency tree", "Evaluating whether an external package is worth the risk vs. implementing a custom solution" ], "pros": [ "Focused security and quality audit for npm packages", "Clear recommendation to install or build custom", "Open source with a simple command-line interface" ], "cons": [ "Low star count (12) suggests very limited community adoption and testing", "May lack updates or ongoing maintenance", "No integration with popular CI/CD workflows out of the box" ], "tags": [], "featured": false, "tier": "curated", "stars": 12, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/mopanc/depguard", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mopanc-depguard" }, { "slug": "mordor-forge-gemini-media-mcp", "name": "mordor-forge/gemini-media-mcp", "vendor": "Various", "tagline": "Unified Go MCP server for AI media generation via Google Gemini API and Vertex AI", "description": "A Go-based MCP server that provides a unified interface for generating images, audio, and video using Google Gemini API and Vertex AI. It acts as a bridge between AI agents and Gemini's media generation capabilities through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agent workflows that need to generate images, audio, or video through Google's Gemini models.", "useCases": [ "Generate images and audio with an AI agent via Gemini", "Integrate Vertex AI media generation into MCP-compatible tools", "Build custom AI workflows that create multimedia content programmatically" ], "pros": [ "Written in Go for efficient performance", "Supports both Gemini API and Vertex AI for flexibility", "Unified single server for multiple media types" ], "cons": [ "Limited to Google Gemini ecosystem, no support for other model providers", "Small community with only 5 GitHub stars may mean limited support", "Requires separate Google Cloud credentials for Vertex AI access" ], "tags": [], "featured": false, "tier": "curated", "stars": 5, "language": [ "Go" ], "license": "Apache-2.0", "lastUpdated": "2026-04-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/mordor-forge/gemini-media-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "cursor", "cline", "claude-code" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mordor-forge-gemini-media-mcp" }, { "slug": "mordor-forge-trident-mcp", "name": "mordor-forge/trident-mcp", "vendor": "Various", "tagline": "Multi-provider 3D model generation MCP server (Tripo, Meshy, Rodin). Text/image/multiview-to-3D, retopology, format conversion, stylization.", "description": "Trident MCP is a Go-based server that provides a unified interface for generating 3D models from multiple providers including Tripo, Meshy, and Rodin. It supports text-to-3D, image-to-3D, and multiview-to-3D conversion along with retopology, format conversion, and stylization capabilities.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building pipelines that need to switch between 3D model generation services.", "useCases": [ "Generate 3D assets from text prompts or images for prototyping", "Convert between 3D formats and apply retopology in pipelines", "Stylize existing 3D models using different provider backends" ], "pros": [ "Supports multiple 3D generation providers through one interface", "Includes retopology and format conversion for production workflows", "Lightweight Go implementation with MCP protocol for tool integration" ], "cons": [ "Limited to 3 developers with no community contributions or issues resolved", "Dependency on external provider APIs which may have costs or rate limits", "No built-in fallback or caching for provider failures" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "Go" ], "license": "Apache-2.0", "lastUpdated": "2026-05-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/mordor-forge/trident-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "ahujasid-blender-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mordor-forge-trident-mcp" }, { "slug": "moxiespirit-oathscore", "name": "moxiespirit/oathscore", "vendor": "Various", "tagline": "Every API makes promises. OathScore checks the receipts. Real-time world state + independent API quality ratings for AI trading agents.", "description": "OathScore monitors API promises by checking real-time world state and independent API quality ratings. It is designed for AI trading agents to verify API reliability.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "AI trading agents needing real-time API reliability verification", "useCases": [ "Verifying API reliability for trading agents", "Monitoring real-time world state data", "Assessing independent API quality ratings" ], "pros": [ "Real-time world state monitoring", "Independent API quality ratings", "Focused on AI trading agent needs" ], "cons": [ "No GitHub stars or community traction yet", "Only available in Python", "Narrow focus on AI trading agents limits general use" ], "tags": [ "ai-agents", "api", "api-monitoring", "finance", "market-data", "mcp", "mcp-server", "trading" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/moxiespirit/oathscore", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/moxiespirit-oathscore" }, { "slug": "moro3k-mcp-altegio", "name": "moro3k/mcp-altegio", "vendor": "Various", "tagline": "📇 ☁️ - MCP server for Altegio API — appointments, clients, services, staff schedules for salon/spa/clinic management. 18 tools with Docker support.", "description": "An MCP server that wraps the Altegio API for salon, spa, and clinic management. It exposes 18 tools to manage appointments, clients, services, and staff schedules, and supports Docker for easy deployment.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants or automation for salons, spas, and clinics using Altegio.", "useCases": [ "Integrating appointment booking into a custom assistant or workflow", "Syncing client data and service catalogs from Altegio to external systems", "Automating staff schedule lookups and availability checks" ], "pros": [ "Provides a comprehensive set of 18 tools covering core Altegio operations", "Docker support simplifies setup and deployment", "Open source with a clear GitHub repository for transparency" ], "cons": [ "Requires an active Altegio account and API credentials", "Limited to the Altegio platform, not a general-purpose scheduling tool", "Docker dependency may add overhead for simple integrations" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/moro3k/mcp-altegio", "relations": { "works_in": [], "uses": [ "docker" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/moro3k-mcp-altegio" }, { "slug": "mpeirone-zabbix-mcp-server", "name": "mpeirone/zabbix-mcp-server", "vendor": "Various", "tagline": "🔌 Complete MCP server for Zabbix integration — Connect AI assistants to Zabbix monitoring with a single unified tool covering 100% of Zabbix APIs. Includes read-only mode and docu", "description": "MCP server that connects AI assistants to Zabbix monitoring. It covers all Zabbix APIs with a unified tool, offering read-only mode and documentation tools for exploring monitoring data like hosts, items, triggers, templates, and problems.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and DevOps teams who want to query Zabbix monitoring using AI assistants", "useCases": [ "Query Zabbix hosts and items via natural language through an AI assistant", "Retrieve active triggers and problems without manual API calls", "Integrate Zabbix monitoring context into automated AI workflows" ], "pros": [ "Complete coverage of all Zabbix API endpoints", "Read-only mode prevents accidental modifications", "Built-in documentation tools simplify exploring the monitoring data" ], "cons": [ "Requires running a separate Python MCP server", "Needs configuration for each Zabbix instance's API credentials", "Large API surface may have a learning curve for new users" ], "tags": [], "featured": false, "tier": "curated", "stars": 220, "language": [ "Python" ], "license": "GPL-3.0", "lastUpdated": "2026-05-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/mpeirone/zabbix-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "sooperset-mcp-atlassian" ], "alternative_to": [ "netdata-netdata-netdata" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mpeirone-zabbix-mcp-server" }, { "slug": "mrexodia-ida-pro-mcp", "name": "mrexodia/ida-pro-mcp", "vendor": "Various", "tagline": "AI-powered reverse engineering assistant that bridges IDA Pro with language models through MCP.", "description": "A plugin that bridges IDA Pro with language models using the Model Context Protocol. It enables reverse engineers to query LLMs directly from IDA's interface for automated analysis, code understanding, and vulnerability detection.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Reverse engineers and security researchers using IDA Pro who want to augment their analysis with LLM assistance", "useCases": [ "Automatically rename functions and variables based on LLM suggestions", "Generate decompilation comments and summaries for complex routines", "Identify potential vulnerabilities or suspicious code patterns with LLM assistance" ], "pros": [ "Leverages state-of-the-art LLMs to speed up reverse engineering workflows", "Open-source and highly configurable in Python", "Large community (9k stars) indicates active development and support" ], "cons": [ "Requires an external LLM API key or local model setup, adding cost or complexity", "LLM outputs may be inaccurate or hallucinate, requiring manual verification", "Tied to IDA Pro, which is a commercial tool with a license cost" ], "tags": [ "ai", "aiagent", "binary-analysis", "ida-plugin", "ida-pro", "mcp", "mcp-server", "modelcontextprotocol" ], "featured": false, "tier": "curated", "stars": 9040, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/mrexodia/ida-pro-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "lauriewired-ghidramcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mrexodia-ida-pro-mcp" }, { "slug": "mrjoshuak-godoc-mcp", "name": "mrjoshuak/godoc-mcp", "vendor": "Various", "tagline": "MCP server that reduces LLM context usage when AI coding agents work with Go — structured documentation instead of source-file dumps.", "description": "MCP server that reduces LLM context usage when AI coding agents work with Go. It provides structured documentation instead of source-file dumps.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using AI coding agents with Go projects to minimize context overhead", "useCases": [ "Feeding Go package documentation to MCP-compatible AI agents", "Reducing token usage during Go codebase analysis in LLMs", "Replacing source file dumps with compact doc summaries for coding assistants" ], "pros": [ "Efficiently lowers token consumption for LLM interactions with Go code", "Structured documentation output improves relevance over raw source", "Lightweight MCP server written in Go for easy integration" ], "cons": [ "Limited to Go documentation only; no support for other languages", "Requires MCP protocol support in the AI agent or client", "May miss implementation details not covered in documentation" ], "tags": [ "ai-agents", "ai-tools", "anthropic", "claude", "documentation", "golang", "llm", "llm-tools" ], "featured": false, "tier": "curated", "stars": 120, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-03-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/mrjoshuak/godoc-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mrjoshuak-godoc-mcp" }, { "slug": "mrexodia-user-feedback-mcp", "name": "mrexodia/user-feedback-mcp", "vendor": "Various", "tagline": "Simple MCP Server to enable a human-in-the-loop workflow in tools like Cline and Cursor.", "description": "A minimal MCP server that pauses an AI coding agent to request human input before proceeding. It integrates with tools like Cline and Cursor to insert a manual review step into automated workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want a lightweight human-in-the-loop guardrail for AI coding assistants", "useCases": [ "Pause an agent to confirm a risky file edit before execution", "Request user approval for deploying code to production", "Collect human feedback on generated code before committing" ], "pros": [ "Simple to set up and integrate with existing MCP-compatible tools", "Adds a safety net for autonomous agent actions", "Lightweight Python implementation with minimal dependencies" ], "cons": [ "Requires manual intervention, breaking fully automated pipelines", "Limited to tools that support the MCP protocol", "No built-in timeout or fallback if user does not respond" ], "tags": [ "cline", "cursor", "mcp", "mcp-server", "modelcontextprotocol" ], "featured": false, "tier": "curated", "stars": 53, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-03-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/mrexodia/user-feedback-mcp", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mrexodia-user-feedback-mcp" }, { "slug": "mrostamii-rancher-mcp-server", "name": "mrostamii/rancher-mcp-server", "vendor": "Various", "tagline": "Model Context Protocol (MCP) server for the Rancher ecosystem: multi-cluster Kubernetes, Harvester HCI (VMs, storage, networks), and Fleet GitOps.", "description": "A Model Context Protocol server that connects AI agents to the Rancher ecosystem. It enables managing multi-cluster Kubernetes, Harvester HCI resources such as VMs and storage, and Fleet GitOps deployments through the MCP standard.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and platform engineers managing Rancher-based multi-cluster environments who want to integrate AI assistants for operational tasks.", "useCases": [ "Automate Kubernetes cluster management across Rancher-managed clusters via natural language commands", "Provision and manage Harvester virtual machines, storage volumes, and networks through an AI agent", "Control Fleet GitOps deployments, including applying configurations and monitoring sync status" ], "pros": [ "Directly integrates with Rancher, Harvester, and Fleet using the standard MCP protocol", "Written in Go, offering efficient performance and easy deployment as a standalone server", "Enables AI-driven workflows for multi-cluster and hyperconverged infrastructure management" ], "cons": [ "Low star count (10) indicates a new project with limited community adoption and testing", "Requires existing Rancher infrastructure, reducing usefulness outside that ecosystem", "Documentation and usage examples may be sparse due to the early stage of the project" ], "tags": [], "featured": false, "tier": "curated", "stars": 10, "language": [ "Go" ], "license": "Apache-2.0", "lastUpdated": "2026-04-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/mrostamii/rancher-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mrostamii-rancher-mcp-server" }, { "slug": "mrslbt-rakuten-mcp", "name": "mrslbt/rakuten-mcp", "vendor": "Various", "tagline": "MCP server for the Rakuten Web Service API. Covers Rakuten Ichiba, Rakuten Books, and Rakuten Travel.", "description": "An MCP server that wraps the Rakuten Web Service API, providing access to Rakuten Ichiba, Rakuten Books, and Rakuten Travel endpoints. It enables AI agents to query product listings, book details, and travel information through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to search Rakuten's e-commerce, book, or travel data.", "useCases": [ "Search Rakuten Ichiba for products by keyword or category", "Look up book information from Rakuten Books", "Query travel accommodations and plans from Rakuten Travel" ], "pros": [ "Covers three major Rakuten services in one server", "Simple MCP integration for agent workflows", "Lightweight JavaScript implementation" ], "cons": [ "Requires a Rakuten Web Service API key to use", "No stars or community adoption yet", "Limited to read-only queries, no write operations" ], "tags": [ "ai-agents", "anthropic", "claude", "claude-code", "cursor", "ecommerce", "japan", "japanese" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/mrslbt/rakuten-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mrslbt-rakuten-mcp" }, { "slug": "mrslbt-rippr", "name": "mrslbt/rippr", "vendor": "Various", "tagline": "YouTube transcript ripper for RAG, LLM workflows, and AI research. Chrome extension. Multiple output formats", "description": "A Chrome extension that extracts YouTube video transcripts for use in RAG, LLM workflows, and AI research. It supports multiple output formats to fit different integration needs.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a lightweight tool to extract YouTube transcripts for LLM and RAG workflows", "useCases": [ "Extract transcripts to build retrieval-augmented generation datasets", "Feed YouTube video content into LLM prompts for analysis or summarization", "Save transcripts in various formats for offline research or processing" ], "pros": [ "Simple Chrome extension for quick transcript extraction", "Supports multiple output formats", "No external dependencies or complex setup" ], "cons": [ "Only works in Chromium-based browsers", "Limited to YouTube transcripts, no other video platforms", "Low community adoption (1 GitHub star) suggests limited testing or maintenance" ], "tags": [ "ai", "ai-tools", "chrome-extension", "claude", "javascript", "llm", "manifest-v3", "mcp" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/mrslbt/rippr", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "klavis-ai-youtube" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mrslbt-rippr" }, { "slug": "mrslbt-xendit-mcp", "name": "mrslbt/xendit-mcp", "vendor": "Various", "tagline": "MCP server for the Xendit payment API. Invoices, disbursements, balances, and transactions across Indonesia, the Philippines, Thailand, Vietnam, and Malaysia.", "description": "An MCP server that wraps the Xendit payment API, exposing invoices, disbursements, balances, and transactions through the Model Context Protocol. It enables AI agents or LLM-based tools to execute payment operations across Indonesia, the Philippines, Thailand, Vietnam, and Malaysia.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers prototyping AI agents that need to handle payments in Southeast Asia", "useCases": [ "Embed payment invoice creation into an AI assistant for Southeast Asian merchants", "Automate disbursement workflows via natural language or agentic commands", "Check account balances and transaction statuses through conversational interfaces" ], "pros": [ "Standard MCP interface simplifies integration with AI agents and chatbots", "Covers Xendit's core payment functions across five key Southeast Asian markets", "Lightweight JavaScript implementation easy to extend or modify" ], "cons": [ "Very early project with only 1 star and minimal community adoption", "Documentation and usage examples are sparse beyond the repository description", "Dependent on Xendit's API availability and regional support constraints" ], "tags": [ "ai-agents", "anthropic", "claude", "claude-code", "cursor", "disbursements", "fintech", "indonesia" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/mrslbt/xendit-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mrslbt-xendit-mcp" }, { "slug": "msaad00-agent-bom", "name": "msaad00/agent-bom", "vendor": "Various", "tagline": "AI supply-chain security scanner and self-hosted control plane for agents, MCP, SBOM/SARIF, graph findings, runtime enforcement, and compliance evidence.", "description": "Agent-bom is a self-hosted security scanner and control plane for AI agent supply chains. It generates SBOM and SARIF reports, maps findings in a graph, enforces runtime policies, and collects compliance evidence for MCP-based agent systems.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building or auditing MCP-based AI agents who need a self-hosted supply chain security and compliance tool.", "useCases": [ "Scan AI agent dependencies for known vulnerabilities", "Enforce runtime security policies on MCP agent interactions", "Generate compliance evidence for agent supply chain audits" ], "pros": [ "Self-hosted control plane gives full data ownership", "Combines SBOM, SARIF, and graph analysis in one tool", "Supports runtime enforcement, not just static scanning" ], "cons": [ "Small community with only 20 GitHub stars", "Limited documentation and real-world usage examples", "Requires Python environment and self-hosting setup" ], "tags": [ "ai-agents", "ai-security", "ai-supply-chain", "aibom", "blast-radius", "cloud-security", "compliance", "container-security" ], "featured": false, "tier": "curated", "stars": 20, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/msaad00/agent-bom", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/msaad00-agent-bom" }, { "slug": "mshegolev-gitlab-ci-mcp", "name": "mshegolev/gitlab-ci-mcp", "vendor": "Various", "tagline": "MCP server for GitLab CI/CD — pipelines, schedules, MRs, files. Works with any GitLab (SaaS or self-hosted).", "description": "This MCP server integrates with GitLab CI/CD to manage pipelines, schedules, merge requests, and files. It works with both GitLab SaaS and self-hosted instances. The tool is written in Python and provides a Model Context Protocol interface for programmatic control.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing MCP-based GitLab CI/CD automation", "useCases": [ "Automate GitLab CI/CD pipeline management", "Manage merge requests and schedules via MCP", "Access and modify GitLab repository files programmatically" ], "pros": [ "Works with any GitLab instance (SaaS or self-hosted)", "Provides MCP interface for CI/CD operations", "Lightweight Python implementation" ], "cons": [ "Zero stars indicates limited community adoption", "No documentation or examples provided", "May lack advanced features of official GitLab API" ], "tags": [ "anthropic", "ci-cd", "claude-code", "fastmcp", "gitlab", "mcp", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/mshegolev/gitlab-ci-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mshegolev-gitlab-ci-mcp" }, { "slug": "mshegolev-jaeger-mcp", "name": "mshegolev/jaeger-mcp", "vendor": "Various", "tagline": "MCP server for Jaeger — search traces, inspect spans, map service dependencies", "description": "An MCP server that connects AI assistants to Jaeger, the open-source distributed tracing system. It allows searching traces, inspecting individual spans, and mapping service dependencies via the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to query Jaeger traces using AI assistants or MCP-enabled tools", "useCases": [ "Query Jaeger for traces matching specific service or operation names", "Inspect span details including tags, logs, and timing information", "Visualize service dependency graphs from trace data" ], "pros": [ "Enables natural language interaction with Jaeger traces through MCP-compatible clients", "Lightweight Python implementation with minimal dependencies", "Direct access to Jaeger's query API without additional middleware" ], "cons": [ "Zero stars and no community adoption indicates early-stage or unmaintained project", "Requires a running Jaeger instance with accessible query endpoint", "Limited to read-only operations; cannot modify or inject traces" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/mshegolev/jaeger-mcp", "relations": { "works_in": [ "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mshegolev-jaeger-mcp" }, { "slug": "mtehabsim-screenpilot", "name": "Mtehabsim/ScreenPilot", "vendor": "Various", "tagline": "Tool that allows the AI to control your device in the same way you do, enabling automation for everything!", "description": "A Python tool that enables an AI agent to control a device by interacting with the screen and interface just as a human would. It captures screen content and performs actions such as clicks and keystrokes to automate workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to automate GUI-heavy workflows using AI", "useCases": [ "Automate repetitive GUI tasks without manual scripting", "Perform end-to-end testing of desktop applications", "Automate data entry across multiple applications" ], "pros": [ "Open source and free to use", "Works at the screen level, no API integration needed", "Written in Python, easy to extend or integrate" ], "cons": [ "Small community and limited stars, early stage", "May fail with dynamic or non-standard interfaces", "Requires screen access, not suitable for headless environments" ], "tags": [ "automation", "mcp-server" ], "featured": false, "tier": "curated", "stars": 53, "language": [ "Python" ], "lastUpdated": "2025-08-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/Mtehabsim/ScreenPilot", "relations": { "works_in": [ "cline", "continue", "cursor" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [ "mediar-ai-screenpipe" ], "alternative_to": [ "anthropic-computer-use", "open-interpreter" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mtehabsim-screenpilot" }, { "slug": "muammar-yacoob-gmail-manager-mcp", "name": "muammar-yacoob/GMail-Manager-MCP", "vendor": "Various", "tagline": "Organize your GMail via MCP", "description": "An MCP server that provides tools to manage Gmail, such as reading, sending, and organizing emails. It uses the Gmail API and exposes capabilities through the Model Context Protocol for integration with AI assistants.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-powered email assistants or automation workflows", "useCases": [ "Integrate Gmail management into AI chat interfaces", "Automate email categorization and labeling", "Read and send emails programmatically via MCP" ], "pros": [ "Simple MCP interface for email operations", "TypeScript implementation offers type safety", "Lightweight and easy to deploy" ], "cons": [ "Low adoption (9 stars) suggests limited community support", "Requires Gmail API credentials and OAuth setup", "May not support all Gmail features like filters or attachments" ], "tags": [], "featured": false, "tier": "curated", "stars": 9, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-09-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/muammar-yacoob/GMail-Manager-MCP#readme", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "elie222-inbox-zero", "pipedreamhq-pipedream" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/muammar-yacoob-gmail-manager-mcp" }, { "slug": "muhammed-abdelghany-rest-api-mcp", "name": "Muhammed-AbdelGhany/rest_api_mcp", "vendor": "Various", "tagline": "Muhammed-AbdelGhany/rest_api_mcp — indexed from awesome-mcp-servers-punkpeye", "description": "A JavaScript-based MCP server that exposes REST APIs as tools for AI agents. It allows agents to make HTTP requests to any REST endpoint, enabling integration with external web services.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a quick way to let AI agents call arbitrary REST APIs", "useCases": [ "Fetching data from public REST APIs during agent workflows", "Sending data to webhooks or backend services from an agent", "Building agents that interact with multiple RESTful services" ], "pros": [ "Simple setup with minimal configuration", "Works with any REST API, no custom adapters needed", "Lightweight JavaScript implementation" ], "cons": [ "Limited to REST APIs, no support for GraphQL or other protocols", "No built-in authentication or rate limiting", "Small community and few stars (5) indicate early-stage project" ], "tags": [], "featured": false, "tier": "curated", "stars": 5, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/Muhammed-AbdelGhany/rest_api_mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/muhammed-abdelghany-rest-api-mcp" }, { "slug": "muhannad-hash-git-context-mcp", "name": "muhannad-hash/git-context-mcp", "vendor": "Various", "tagline": "MCP server that answers why code exists - git blame, PR descriptions, and linked issues", "description": "A Model Context Protocol server that explains why code exists by retrieving git blame, pull request descriptions, and linked issues. It provides historical context for code changes directly from a git repository.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want instant code context from git history via MCP", "useCases": [ "Understanding the rationale behind a specific line of code", "Onboarding to a new codebase by tracing change history", "Debugging by linking code changes to PRs and issues" ], "pros": [ "Directly surfaces git blame and PR context without leaving the editor", "Lightweight JavaScript implementation", "Integrates with MCP-compatible tools" ], "cons": [ "Very low community adoption (1 star on GitHub)", "Requires a git repository with linked PRs and issues to be useful", "Limited to projects that use git and have well-documented PRs" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/muhannad-hash/git-context-mcp", "relations": { "works_in": [ "cursor", "claude-code", "cline", "continue", "aider" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/muhannad-hash-git-context-mcp" }, { "slug": "muhannad-hash-mcp-shield", "name": "muhannad-hash/mcp-shield", "vendor": "Various", "tagline": "Security scanner for MCP servers - detect backdoors, exfiltration, and prompt injection", "description": "Scans MCP servers for security issues including backdoors, data exfiltration, and prompt injection. It analyzes server behavior and configuration to flag potential risks. Built in TypeScript for ease of integration.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building or deploying MCP servers who need a basic security audit", "useCases": [ "Audit an MCP server for hidden backdoors before deployment", "Detect potential data exfiltration paths in MCP services", "Evaluate prompt injection resilience of an MCP server" ], "pros": [ "Directly addresses unique MCP security concerns", "Clear detection of common attack vectors specific to MCP", "Lightweight TypeScript implementation" ], "cons": [ "Limited community adoption suggests early stage or niche use", "May not cover all MCP security threats or custom scenarios", "Requires understanding of MCP architecture to interpret results" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/muhannad-hash/mcp-shield", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp", "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/muhannad-hash-mcp-shield" }, { "slug": "multimail-dev-mcp-server", "name": "multimail-dev/mcp-server", "vendor": "Various", "tagline": "MCP server for MultiMail — Verifiable identity email for AI agents", "description": "MCP server that connects AI agents to MultiMail's verifiable identity email system. It enables agents to send and receive emails with cryptographic identity verification through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need cryptographically verifiable email communication", "useCases": [ "Send emails from AI agents with verified sender identity", "Receive and process emails for autonomous workflows", "Integrate verifiable email capabilities into MCP-compatible tools" ], "pros": [ "Provides verifiable identity for agent-sent emails", "Leverages standard MCP protocol for interoperability", "Simple JavaScript implementation" ], "cons": [ "Very early stage with only 1 star and limited community adoption", "Requires MultiMail infrastructure and setup", "Limited documentation or examples due to low maturity" ], "tags": [ "agent-email", "ai-agent", "ai-agents", "verifiable-credentials" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/multimail-dev/mcp-server", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/multimail-dev-mcp-server" }, { "slug": "mumez-pharo-smalltalk-interop-mcp-server", "name": "mumez/pharo-smalltalk-interop-mcp-server", "vendor": "Various", "tagline": "A local MCP server to communicate local Pharo Smalltalk image", "description": "A local MCP server that enables communication with a Pharo Smalltalk image. It uses Python to bridge the Model Context Protocol, allowing external tools to interact with the Smalltalk environment.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers working with Pharo Smalltalk who want to connect it to MCP-based tools or AI assistants", "useCases": [ "Connecting AI assistants to a live Pharo Smalltalk image for code analysis", "Automating Smalltalk image operations from external scripts or tools", "Integrating Pharo Smalltalk into MCP-compatible development workflows" ], "pros": [ "Enables modern tooling integration with legacy Smalltalk environments", "Lightweight Python implementation with a focused scope", "Open source with a permissive license for customization" ], "cons": [ "Very early stage with only 10 stars and limited community adoption", "Requires running a local server and managing Smalltalk image connectivity", "Narrow use case limited to Pharo Smalltalk developers" ], "tags": [ "mcp-server", "pharo-smalltalk" ], "featured": false, "tier": "curated", "stars": 10, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-12-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/mumez/pharo-smalltalk-interop-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mumez-pharo-smalltalk-interop-mcp-server" }, { "slug": "musepy-genable", "name": "musepy/genable", "vendor": "Various", "tagline": "Quality-first AI UI generator for Figma. Multi-protocol: Gemini · Claude · OpenAI-compatible.", "description": "A quality-first AI UI generator that works within Figma. It supports multiple AI models including Gemini, Claude, and OpenAI-compatible endpoints, letting users choose their preferred provider for generating interface components from text prompts.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Designers and developers wanting to leverage different AI models for Figma UI generation with a focus on quality", "useCases": [ "Generate UI components from text descriptions inside Figma", "Quickly create prototypes by describing layouts and elements", "Explore design alternatives using different AI models" ], "pros": [ "Supports multiple AI protocols giving flexibility in model choice", "Integrates directly into Figma workflow", "Emphasizes output quality over speed" ], "cons": [ "No public usage data or community feedback available yet", "May lack extensive documentation or troubleshooting resources", "Dependency on external API keys and model availability" ], "tags": [ "ai", "claude", "design-tools", "figma", "figma-plugin", "gemini", "generative-ai", "prompt-to-ui" ], "featured": false, "tier": "curated", "stars": 0, "language": [], "license": "MIT", "lastUpdated": "2026-05-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/musepy/genable", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "glips-figma-context-mcp" ], "alternative_to": [ "21st-dev-magic-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/musepy-genable" }, { "slug": "muvon-mcp-binance-futures", "name": "muvon/mcp-binance-futures", "vendor": "Various", "tagline": "MCP server to trade futures on Binance", "description": "An MCP server that enables AI agents to trade futures on Binance. It implements the Model Context Protocol to provide a standardized interface for placing orders, managing positions, and querying market data. Built in Python, it connects to the Binance Futures API.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI trading agents that need a standardized interface to Binance futures", "useCases": [ "Automating futures trading strategies via AI agents", "Integrating Binance futures with MCP-compatible tools", "Executing trades programmatically through natural language commands" ], "pros": [ "Standardized MCP interface for Binance futures", "Python-based, easy to extend", "Enables AI-driven trading without custom API integration" ], "cons": [ "Requires Binance API credentials and proper risk management", "Limited to Binance futures, not other exchanges", "Dependent on MCP protocol adoption in client tools" ], "tags": [], "featured": false, "tier": "curated", "stars": 4, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-03-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/muvon/mcp-binance-futures", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/muvon-mcp-binance-futures" }, { "slug": "muvon-octocode", "name": "muvon/octocode", "vendor": "Various", "tagline": "Semantic code searcher and codebase utility", "description": "A semantic code searcher and codebase utility written in Rust. It indexes codebases and enables natural language queries to find relevant code snippets.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to quickly navigate and understand large or unfamiliar codebases", "useCases": [ "Searching large codebases with natural language queries", "Understanding unfamiliar code by querying its functionality", "Finding code patterns or implementations across a project" ], "pros": [ "Fast search performance due to Rust implementation", "Semantic understanding reduces manual grep-like searches", "Open source with active community (389 stars)" ], "cons": [ "Requires indexing step before searching", "Limited to codebases that can be indexed locally", "May not handle very large monorepos efficiently" ], "tags": [ "ai", "ai-tools", "cli", "cli-app", "code-search", "developer-tool", "developer-tools", "doc-search" ], "featured": false, "tier": "curated", "stars": 389, "language": [ "Rust" ], "license": "Apache-2.0", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/Muvon/octocode", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/muvon-octocode" }, { "slug": "mvtandas-wp-cli-mcp", "name": "mvtandas/wp-cli-mcp", "vendor": "Various", "tagline": "MCP server that gives AI tools full WordPress management via WP-CLI — 30+ tools for themes, plugins, posts, menus, users, database, and scaffolding", "description": "MCP server that maps WP-CLI commands to tools for AI assistants, enabling WordPress site management through chat or automation. It exposes over 30 tools covering themes, plugins, posts, menus, users, database operations, and scaffolding. Requests from AI clients are translated into WP-CLI commands executed on the target WordPress installation.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and site admins who want to control WordPress through AI assistants or automated pipelines.", "useCases": [ "Automate WordPress updates, plugin installation, and content publishing via AI", "Manage multiple WordPress sites by issuing natural-language commands to an assistant", "Scaffold custom post types, themes, or plugins through AI-driven workflows" ], "pros": [ "Leverages a mature, well-documented CLI ecosystem for WordPress", "Integrates with any MCP-compatible AI client (Claude, Cursor, etc.)", "Covers a broad range of administrative tasks in a single server" ], "cons": [ "Requires WP-CLI installed on the target server, adding a setup dependency", "Security-sensitive: permissions must be carefully scoped to avoid misuse", "Low GitHub star count suggests early-stage project with limited community testing" ], "tags": [ "ai", "claude-code", "cursor", "gutenberg", "mcp", "model-context-protocol", "php", "woocommerce" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/mvtandas/wp-cli-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mvtandas-wp-cli-mcp" }, { "slug": "mwgmorningwood-central-memory-mcp", "name": "MWGMorningwood/Central-Memory-MCP", "vendor": "Various", "tagline": "A custom fork of @modelcontextprotocol/server-memory using Azure Functions MCP triggers and Table storage.", "description": "A custom fork of the standard Model Context Protocol memory server, adapted to run as an Azure Function with Azure Table storage for persistence. It provides memory management for MCP-compatible AI agents using serverless Azure infrastructure.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based AI agents on Azure who need a serverless memory backend", "useCases": [ "Persisting conversation memory for MCP agents on Azure", "Leveraging Azure Functions for scalable MCP memory storage", "Integrating MCP memory with Azure Table storage for cost-effective persistence" ], "pros": [ "Leverages Azure serverless platform for automatic scaling", "Uses familiar Azure Table storage for simple key-value persistence", "Lightweight fork that directly extends the standard MCP memory server" ], "cons": [ "Very low community adoption and limited support (1 star)", "Tied to Azure ecosystem, not portable to other cloud providers", "May lack features and updates compared to the upstream server-memory project" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "C#" ], "license": "MIT", "lastUpdated": "2026-05-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/MWGMorningwood/Central-Memory-MCP", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "topoteretes-cognee", "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mwgmorningwood-central-memory-mcp" }, { "slug": "myagenthubs-aimemo", "name": "MyAgentHubs/aimemo", "vendor": "Various", "tagline": "🏎️ 🏠 🍎 🪟 🐧 - Zero-dependency MCP memory server. Single binary, 100% local, no Docker.", "description": "A zero-dependency MCP memory server delivered as a single binary. It runs entirely locally without Docker or external dependencies, providing a lightweight memory layer for AI agents using the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a lightweight, local MCP memory server for AI agent experiments", "useCases": [ "Running a local MCP memory server for agent workflows", "Embedding persistent memory in AI toolchains without containers", "Testing MCP memory features in development environments" ], "pros": [ "Single binary simplifies deployment and reduces overhead", "No external dependencies or Docker required", "100% local operation ensures data privacy and low latency" ], "cons": [ "Zero stars indicates limited community adoption and testing", "Only supports the MCP protocol, limiting interoperability", "Lack of Docker may hinder integration in containerized stacks" ], "tags": [ "ai", "claude", "context-protocol", "golang", "knowledge-graph", "local-first", "mcp", "memory" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-02-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/MyAgentHubs/aimemo", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/myagenthubs-aimemo" }, { "slug": "mymedi-ai-mymedi-ai-mcp-server", "name": "MyMedi-AI/mymedi-ai-mcp-server", "vendor": "Various", "tagline": "Healthcare billing MCP server — 20 AI tools for ICD-10, CPT, HCPCS lookup (81,769 codes with RVU + OPPS pricing), prior auth prediction, claims validation, denial-risk scoring, and", "description": "A healthcare billing MCP server that provides 20 AI tools for ICD-10, CPT, and HCPCS code lookup (81,769 codes with RVU and OPPS pricing), prior authorization prediction, claims validation, denial-risk scoring, and NPI or drug enrichment. It offers 10 free credits, then charges via USDC or Stripe.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building healthcare billing automation tools", "useCases": [ "Look up medical billing codes with pricing data for claims preparation", "Predict prior authorization likelihood before submitting a claim", "Validate claims and assess denial risk to reduce rejections" ], "pros": [ "Covers a large set of billing codes (81,769) with RVU and OPPS pricing", "Includes predictive tools for prior auth and denial risk scoring", "Free tier allows testing without upfront payment" ], "cons": [ "Low community adoption (1 star on GitHub)", "Requires payment after 10 free credits", "Vendor listed as 'Various' may indicate limited support or unclear ownership" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/MyMedi-AI/mymedi-ai-mcp-server", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mymedi-ai-mymedi-ai-mcp-server" }, { "slug": "mzxrai-mcp-openai", "name": "mzxrai/mcp-openai", "vendor": "Various", "tagline": "Chat with OpenAI models from Claude Desktop", "description": "mzxrai/mcp-openai is an MCP server that lets users chat with OpenAI models directly from the Claude Desktop interface. It bridges the Model Context Protocol to route prompts from Claude to OpenAI's API. Users configure it as a standard MCP client within Claude Desktop.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to use OpenAI models within the Claude Desktop environment", "useCases": [ "Access GPT-4 or other OpenAI models via Claude's interface", "Combine Claude and OpenAI capabilities in one workflow", "Test OpenAI model responses without leaving Claude Desktop" ], "pros": [ "Simple MCP bridge between Claude Desktop and OpenAI", "Easy to set up with standard MCP configuration", "Leverages OpenAI's model capabilities from Claude's environment" ], "cons": [ "Requires an OpenAI API key and incurs usage costs", "Dependent on both Claude Desktop and OpenAI API availability", "Limited to text-based interactions through Claude Desktop" ], "tags": [], "featured": false, "tier": "curated", "stars": 72, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2024-12-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/mzxrai/mcp-openai", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "cline", "claude-code" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mzxrai-mcp-openai" }, { "slug": "mzxrai-mcp-webresearch", "name": "mzxrai/mcp-webresearch", "vendor": "Various", "tagline": "MCP web research server (give Claude real-time info from the web)", "description": "This is an MCP web research server that gives Claude real-time information from the web. It acts as a bridge between Claude and online sources, enabling live data retrieval through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to give Claude live web search capabilities in their own applications.", "useCases": [ "Fetching current news or facts during a Claude conversation", "Querying live data for research or decision support", "Extending Claude with web search functionality" ], "pros": [ "Open source with community interest (298 stars on GitHub)", "Enables real-time web access for Claude without manual intervention", "Simple JavaScript implementation easy to understand and modify" ], "cons": [ "Requires setting up and running a separate server process", "Depends on external web sources that may change or become unavailable", "Limited to environments where Claude supports the MCP protocol" ], "tags": [ "anthropic", "anthropic-claude", "mcp", "model-context-protocol", "web-research" ], "featured": false, "tier": "curated", "stars": 298, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2024-12-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/mzxrai/mcp-webresearch", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [ "exa-labs-exa-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mzxrai-mcp-webresearch" }, { "slug": "n24q02m-better-email-mcp", "name": "n24q02m/better-email-mcp", "vendor": "Various", "tagline": "IMAP/SMTP email server for AI agents -- 6 composite tools with multi-account and auto-discovery", "description": "An MCP server that exposes IMAP/SMTP email operations as composable tools for AI agents. It supports multiple accounts and auto-discovers server settings, providing six composite tools for sending, reading, and managing email.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to send or read email via standard protocols", "useCases": [ "Automate email sending and inbox monitoring from an AI agent", "Manage multiple email accounts through a single MCP interface", "Build email-based workflows with auto-discovered server configurations" ], "pros": [ "Multi-account support reduces setup overhead", "Auto-discovery simplifies configuration for common providers", "Composite tools bundle common email operations into single calls" ], "cons": [ "Small community (20 stars) may mean limited support", "Depends on IMAP/SMTP which can be slower than API-based alternatives", "TypeScript-only, requiring Node.js runtime for deployment" ], "tags": [ "ai-agents", "ai-coding", "claude", "claude-code", "cursor", "docker", "email", "imap" ], "featured": false, "tier": "curated", "stars": 20, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/n24q02m/better-email-mcp", "relations": { "works_in": [ "cursor", "cline", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/n24q02m-better-email-mcp" }, { "slug": "n24q02m-mnemo-mcp", "name": "n24q02m/mnemo-mcp", "vendor": "Various", "tagline": "Persistent AI memory with hybrid search and embedded sync. Open, free, unlimited.", "description": "mnemo-mcp is an open-source Python tool that gives AI agents persistent memory using hybrid search and embedded sync. It stores and retrieves context across sessions, enabling long-running conversations or tasks without losing state.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building persistent memory into custom AI agents or chatbots", "useCases": [ "Maintain conversation history across AI agent sessions", "Sync memory between local and remote AI instances", "Enable context-aware task execution over multiple interactions" ], "pros": [ "Free and open-source with no usage limits", "Hybrid search improves relevance of recalled memory", "Embedded sync keeps memory consistent across environments" ], "cons": [ "Requires Python setup and self-hosting", "Limited community support due to low star count", "No built-in encryption for stored memory" ], "tags": [ "ai-agents", "ai-coding", "ai-memory", "claude", "claude-code", "cursor", "docker", "hybrid-search" ], "featured": false, "tier": "curated", "stars": 6, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/n24q02m/mnemo-mcp", "relations": { "works_in": [ "cursor", "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "topoteretes-cognee", "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/n24q02m-mnemo-mcp" }, { "slug": "n24q02m-better-godot-mcp", "name": "n24q02m/better-godot-mcp", "vendor": "Various", "tagline": "Composite MCP server for Godot Engine -- 17 mega-tools for AI-assisted game development", "description": "A composite MCP server for the Godot Engine that exposes 17 mega-tools for AI-assisted game development. It is written in TypeScript and provides a structured interface for AI agents to interact with Godot projects.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Godot developers who want to leverage AI agents for game development tasks", "useCases": [ "Automating repetitive Godot editor tasks via AI agents", "Generating and modifying game scenes and scripts programmatically", "Integrating AI-driven workflows into Godot game development pipelines" ], "pros": [ "Offers a broad set of 17 tools covering many common Godot operations", "Written in TypeScript for type safety and ease of contribution", "Designed specifically for AI-assisted workflows in Godot" ], "cons": [ "Small community with only 21 stars, limiting support and plugins", "May require familiarity with MCP protocol and Godot internals", "Composite tool design could be less flexible than individual tools" ], "tags": [ "ai-agents", "ai-coding", "claude", "claude-code", "cursor", "docker", "gdscript", "godot" ], "featured": false, "tier": "curated", "stars": 21, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/n24q02m/better-godot-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "cline", "claude-code" ], "alternative_to": [ "coding-solo-godot-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/n24q02m-better-godot-mcp" }, { "slug": "n24q02m-wet-mcp", "name": "n24q02m/wet-mcp", "vendor": "Various", "tagline": "Open-source MCP Server for web search, content extraction, library docs & multimodal analysis.", "description": "An open-source MCP server for web search, content extraction, library documentation lookup, and multimodal analysis. It uses Python and implements the Model Context Protocol to integrate these capabilities into AI applications.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers integrating web search and content extraction into MCP-based AI workflows", "useCases": [ "Search the web and extract content from pages", "Retrieve documentation for Python libraries", "Perform multimodal analysis on input data" ], "pros": [ "Free and open-source with no licensing costs", "Combines multiple capabilities in a single server", "Lightweight Python implementation for easy customization" ], "cons": [ "Small community with only 9 stars", "Limited documentation and examples available", "Relies on external APIs for search and extraction" ], "tags": [ "ai-agents", "ai-coding", "claude", "claude-code", "crawl4ai", "cursor", "docker", "mcp" ], "featured": false, "tier": "curated", "stars": 9, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/n24q02m/wet-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "browsermcp-mcp", "exa-labs-exa-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/n24q02m-wet-mcp" }, { "slug": "n8daniels-rulesetmcp", "name": "n8daniels/RulesetMCP", "vendor": "Various", "tagline": "Weight-On-Wheels for AI: MCP server that keeps every agent grounded in your project's rules", "description": "An MCP server that provides project-specific rules to AI agents, ensuring they adhere to defined guidelines. It works by serving rule sets via the Model Context Protocol, allowing agents to retrieve and apply them during interactions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to enforce project-specific rules for AI agents using MCP", "useCases": [ "Enforcing coding standards in AI-assisted development", "Providing context-specific rules for AI agents in a project", "Keeping AI outputs consistent with project conventions" ], "pros": [ "Lightweight and focused on rule enforcement", "Uses standard MCP protocol for interoperability", "Simple integration with MCP-compatible agents" ], "cons": [ "Very early stage with only 1 star and limited community", "Requires manual rule definition and maintenance", "May not cover complex rule scenarios" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-12-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/n8daniels/RulesetMCP", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/n8daniels-rulesetmcp" }, { "slug": "nakaokarei-swift-mcp-gui", "name": "NakaokaRei/swift-mcp-gui", "vendor": "Various", "tagline": "MCP server that can execute commands such as keyboard input and mouse movement on macOS", "description": "An MCP server for macOS that executes GUI automation commands including keyboard input and mouse movement. It listens for MCP requests and performs the corresponding actions on the desktop.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building macOS automation tools or AI agents that need GUI control", "useCases": [ "Automating repetitive GUI workflows on macOS", "Programmatically testing macOS application interfaces", "Integrating with AI agents to control desktop applications" ], "pros": [ "Lightweight Swift implementation", "Direct control over macOS GUI elements", "Open source with permissive licensing" ], "cons": [ "Limited to macOS only", "Requires accessibility permissions to function", "Small community with 59 stars" ], "tags": [ "automation", "mcp", "mcp-server", "swift" ], "featured": false, "tier": "curated", "stars": 59, "language": [ "Swift" ], "license": "MIT", "lastUpdated": "2026-05-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/NakaokaRei/swift-mcp-gui.git", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "wonderwhy-er-desktopcommandermcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/nakaokarei-swift-mcp-gui" }, { "slug": "najemwehbe-unreal-ai-connection", "name": "NAJEMWEHBE/unreal-ai-connection", "vendor": "Various", "tagline": "Drive Unreal Engine 5.7 from any MCP client — 143 editor-automation tools (inspect, author, render) over a local TCP socket.", "description": "Open-source plugin that connects Unreal Engine 5.7 to any MCP client over a local TCP socket. Exposes 143 editor-automation tools covering inspection, authoring, and rendering.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to automate Unreal Engine 5.7 editor workflows through the MCP protocol", "useCases": [ "Automate repetitive editor tasks from an MCP client", "Script scene inspection and asset authoring remotely", "Integrate Unreal Engine into a larger MCP-driven pipeline" ], "pros": [ "Exposes a large set of editor operations (143 tools) in one plugin", "Enables Unreal Engine to be driven by any MCP-compatible client", "Open source and written in C++ for custom extension" ], "cons": [ "Low community engagement (4 stars), might lack wider testing and docs", "Requires C++ knowledge to modify or debug the plugin", "TCP socket approach has inherent security and network considerations" ], "tags": [ "ai-agents", "claude-code", "cline", "codex-cli", "continue", "copilot", "cpp", "cursor" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "C++" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/NAJEMWEHBE/unreal-ai-connection", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "ahujasid-blender-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/najemwehbe-unreal-ai-connection" }, { "slug": "nach-dakwale-instadomain-mcp", "name": "nach-dakwale/instadomain-mcp", "vendor": "Various", "tagline": "MCP server that lets AI agents register domains instantly. Stripe + x402 crypto payments, Cloudflare DNS, bulk checks, renewals, transfers.", "description": "An MCP server that enables AI agents to register domains directly. It handles payments via Stripe fiat or x402 crypto, manages Cloudflare DNS, and supports bulk availability checks, renewals, and transfers.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need on-demand domain registration", "useCases": [ "Automating domain purchases from AI agent workflows", "Bulk domain availability checks via agent commands", "Managing domain renewals and transfers through agent protocols" ], "pros": [ "Supports both fiat (Stripe) and crypto (x402) payments", "Integrates with Cloudflare DNS for automated setup", "Enables full domain lifecycle management through agents" ], "cons": [ "Very few GitHub stars (2) indicates early-stage or low adoption", "Limited documentation and community support", "Requires setting up Stripe and crypto payment infrastructure" ], "tags": [ "ai-agents", "cloudflare", "domains", "mcp", "mcp-server", "model-context-protocol", "stripe", "x402" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/nach-dakwale/instadomain-mcp", "relations": { "works_in": [ "cline", "claude-code", "cursor", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/nach-dakwale-instadomain-mcp" }, { "slug": "nakulben-whatsapp-mcp", "name": "nakulben/whatsapp-mcp", "vendor": "Various", "tagline": "WhatsApp MCP Server — Manage templates & send messages via Claude, Cursor, or any MCP client. Meta Cloud API.", "description": "This tool provides a Model Context Protocol (MCP) server for WhatsApp, enabling interaction via Claude, Cursor, or any MCP client. It uses the Meta Cloud API to manage message templates and send messages programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers seeking a quick MCP-based interface to send WhatsApp messages and manage templates via AI assistants", "useCases": [ "Send transactional or promotional WhatsApp messages from an AI assistant workflow", "Manage WhatsApp message templates (create, edit, list) through an MCP client", "Automate customer communication by integrating WhatsApp with AI agents or coding tools" ], "pros": [ "Follows the MCP standard, compatible with various clients like Claude and Cursor", "Leverages the official Meta Cloud API for reliable WhatsApp integration", "Written in Python, making it easy to extend or debug for Python developers" ], "cons": [ "Very low GitHub stars (1) indicating early stage or little community validation", "Depends on Meta Cloud API, requiring a Meta Business Account and app setup", "Limited to managing templates and sending messages; no inbound message handling or media support implied" ], "tags": [ "claude", "mcp", "meta-cloud-api", "whatsapp", "whatsapp-business-api" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/nakulben/whatsapp-mcp", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "lharries-whatsapp-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/nakulben-whatsapp-mcp" }, { "slug": "nalediym-touch-grass", "name": "nalediym/touch-grass", "vendor": "Various", "tagline": "A Claude Code plugin that teaches your AI agent to remind you to go outside. Weather-aware, sunset-aware, session-aware. Ships an MCP server + SessionStart hook + skill.", "description": "A Claude Code plugin that sends reminders to step outside. It uses weather, sunset, and session data through an MCP server and SessionStart hook to time reminders.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude Code who want automated, contextual break reminders to go outside.", "useCases": [ "Preventing prolonged coding sessions with timed outdoor prompts", "Leveraging weather and sunset info to suggest optimal break moments", "Integrating a health reminder skill into an existing Claude Code workflow" ], "pros": [ "Simple, focused plugin for a specific developer wellness need", "Weather and sunset awareness adds context sensitivity", "Ships as a self-contained MCP server plus hook and skill for easy setup" ], "cons": [ "Very young project with only one star and likely minimal community support", "Limited to Claude Code—no broader agent or IDE integration", "Reminder frequency and customization may be basic given early stage" ], "tags": [ "ai-agent", "break-reminder", "claude-code", "claude-code-hooks", "claude-code-plugin", "coding-break", "developer-wellness", "mcp" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/nalediym/touch-grass", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/nalediym-touch-grass" }, { "slug": "nameetp-pdfmux", "name": "NameetP/pdfmux", "vendor": "Various", "tagline": "PDF extraction that checks its own work. #2 reading order accuracy — zero AI, zero GPU, zero cost.", "description": "PDF extraction tool that verifies its own output for reading order accuracy. Uses a rule-based approach with no AI or GPU, achieving high accuracy at zero cost.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing lightweight, verifiable PDF text extraction without AI costs", "useCases": [ "Extracting text from PDFs while preserving logical reading order", "Building reliable document processing pipelines without AI dependencies", "Validating extraction quality automatically for downstream tasks" ], "pros": [ "No AI or GPU required, runs on any machine", "Self-checking mechanism ensures output accuracy", "Free and open source with a simple Python interface" ], "cons": [ "Limited to reading order extraction, no layout or table parsing", "Small community and limited documentation due to low star count", "May struggle with complex PDF layouts or scanned documents" ], "tags": [ "ai-agent", "docling", "document-parsing", "llm", "mcp", "ocr", "opendataloader", "pdf" ], "featured": false, "tier": "curated", "stars": 66, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/NameetP/pdfmux", "relations": { "works_in": [ "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "microsoft-markitdown" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/nameetp-pdfmux" }, { "slug": "nanana-app-mcp-server-nano-banana", "name": "nanana-app/mcp-server-nano-banana", "vendor": "Various", "tagline": "MCP server for Nanana AI image generation powered by Google Gemini's nano banana", "description": "An MCP server that integrates Nanana AI image generation into MCP-compatible clients. It uses Google Gemini's nano banana model to generate images based on text prompts.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with MCP-based image generation", "useCases": [ "Generate images from text prompts in MCP-compatible IDEs", "Add AI image generation to developer workflows", "Prototype image generation features with minimal setup" ], "pros": [ "Simple integration with MCP ecosystem", "Low barrier to entry for image generation", "Open source with permissive license" ], "cons": [ "Very small community (8 stars)", "Limited to one specific model (nano banana)", "Dependency on Google Gemini API availability" ], "tags": [ "ai", "gemini", "image-editor", "image-generation", "mcp", "mcp-server", "nano-banana" ], "featured": false, "tier": "curated", "stars": 8, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2025-10-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/nanana-app/mcp-server-nano-banana", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "googleapis-genai-toolbox" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/nanana-app-mcp-server-nano-banana" }, { "slug": "nangman-infra-touch-browser", "name": "nangman-infra/touch-browser", "vendor": "Various", "tagline": "Turn any web page into traceable, citable evidence for AI agents.", "description": "A Rust tool that converts web pages into traceable, citable evidence for AI agents. It captures page content and metadata to support verification of sources used by AI systems.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need verifiable, citable web evidence", "useCases": [ "Capturing web content as citable references for AI reasoning", "Providing verifiable sources for retrieval-augmented generation pipelines", "Creating auditable records of web pages used in AI agent workflows" ], "pros": [ "Lightweight Rust implementation for fast page capture", "Explicit focus on traceability and citation for AI agents", "Open source with a clear purpose for evidence-backed AI" ], "cons": [ "Very early stage (9 GitHub stars), limited community and support", "No mention of JavaScript rendering or complex page support", "Documentation and usage examples likely minimal" ], "tags": [ "ai-agent", "browser-automation", "citation", "evidence-extraction", "fact-checking", "mcp", "nlp", "rust" ], "featured": false, "tier": "curated", "stars": 9, "language": [ "Rust" ], "license": "MPL-2.0", "lastUpdated": "2026-05-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/nangman-infra/touch-browser", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "browsermcp-mcp", "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/nangman-infra-touch-browser" }, { "slug": "narasimhaponnada-mermaid-mcp", "name": "Narasimhaponnada/mermaid-mcp", "vendor": "Various", "tagline": "📇 ☁️ 🍎 🪟 🐧 - AI-powered Mermaid diagram generation with 22+ diagram types including flowcharts, sequence diagrams, class diagrams, ER diagrams, architecture diagrams, state mac", "description": "This MCP server generates Mermaid diagrams from natural language using AI. It supports over 22 diagram types including flowcharts, sequence diagrams, class diagrams, ER diagrams, and architecture diagrams.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using AI assistants who need to generate diagrams from plain text descriptions", "useCases": [ "Generate diagrams from natural language descriptions in AI chat interfaces", "Create documentation diagrams automatically during development", "Integrate diagram generation into MCP-compatible AI workflows" ], "pros": [ "Supports a wide range of Mermaid diagram types (22+)", "Works with any MCP client for easy integration", "Open source with simple JavaScript implementation" ], "cons": [ "Small community adoption (45 stars) may mean limited support", "Requires an MCP-compatible AI client to function", "Depends on an AI model API key for generation" ], "tags": [ "ai", "architecture", "automation", "claude", "cli-tool", "copilot", "devtools", "diagrams" ], "featured": false, "tier": "curated", "stars": 45, "language": [ "JavaScript" ], "lastUpdated": "2025-11-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/Narasimhaponnada/mermaid-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "antv-mcp-server-chart" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/narasimhaponnada-mermaid-mcp" }, { "slug": "narumiruna-yfinance-mcp", "name": "narumiruna/yfinance-mcp", "vendor": "Various", "tagline": "🐍 ☁️ - An MCP server that uses yfinance to obtain information from Yahoo Finance.", "description": "An MCP server that uses yfinance to fetch financial data from Yahoo Finance. It exposes stock information through the Model Context Protocol for integration with AI agents.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need quick access to stock market data via the Model Context Protocol", "useCases": [ "Retrieving real-time stock prices and historical data for analysis", "Accessing financial statements and key metrics for investment research", "Integrating market data into AI-driven portfolio or trading tools" ], "pros": [ "Leverages the popular yfinance library for reliable Yahoo Finance data", "Simple MCP interface fits neatly into AI agent workflows", "Written in Python and open source for easy customization" ], "cons": [ "Depends on Yahoo Finance's unofficial API which may change or throttle", "Limited to data available through yfinance, no futures or options chains", "Not production grade for high-frequency or guaranteed availability needs" ], "tags": [ "finance", "mcp", "mcp-server", "python", "yahoo-finance" ], "featured": false, "tier": "curated", "stars": 149, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/narumiruna/yfinance-mcp", "relations": { "works_in": [ "cline", "cursor", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/narumiruna-yfinance-mcp" }, { "slug": "nazarkalytiuk-tarn", "name": "NazarKalytiuk/tarn", "vendor": "Various", "tagline": "CLI-first API testing tool. YAML-defined tests, structured JSON output, built for AI-assisted workflows.", "description": "A CLI-first API testing tool that uses YAML-defined tests and produces structured JSON output. It is designed for AI-assisted workflows and is written in Rust.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a lightweight, scriptable API testing tool for AI-driven workflows", "useCases": [ "Define and run API tests from YAML files", "Integrate test execution into CI/CD pipelines", "Parse structured JSON results for automated analysis" ], "pros": [ "Fast and lightweight due to Rust implementation", "YAML syntax is simple and readable", "JSON output integrates easily with AI and automation tools" ], "cons": [ "Small community and limited adoption (only 3 stars)", "May lack features and stability of mature alternatives", "Minimal documentation or ecosystem beyond the repository" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "Rust" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/NazarKalytiuk/tarn", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/nazarkalytiuk-tarn" }, { "slug": "narumiruna-gitingest-mcp", "name": "narumiruna/gitingest-mcp", "vendor": "Various", "tagline": "🐍 🏠 - A MCP server that uses [gitingest](https://github.com/cyclotruc/gitingest) to convert any Git repository into a simple text digest of its codebase.", "description": "A Model Context Protocol (MCP) server that wraps gitingest to convert any Git repository into a plain text digest of its codebase. It exposes an MCP interface so clients can request a repository summary without cloning the full repo.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a quick text representation of a Git repo for AI or documentation", "useCases": [ "Generate a text summary of a codebase for LLM context", "Quickly understand a repository's structure without cloning", "Feed repository digest into AI tools for analysis" ], "pros": [ "Simple integration with MCP-compatible clients", "Leverages gitingest for efficient text extraction", "Lightweight Python implementation" ], "cons": [ "Low community adoption (9 stars)", "Depends on gitingest, which may have its own limitations", "Only produces a text digest, not full code or metadata" ], "tags": [], "featured": false, "tier": "curated", "stars": 9, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/narumiruna/gitingest-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/narumiruna-gitingest-mcp" }, { "slug": "nckhemanth0-subscription-tracker-mcp", "name": "nckhemanth0/subscription-tracker-mcp", "vendor": "Various", "tagline": "🐍 ☁️ 🏠 - MCP server for intelligent subscription management with Gmail + MySQL integration.", "description": "This MCP server integrates with Gmail to detect subscription-related emails and stores the extracted data in a MySQL database. It automates the tracking of subscriptions, costs, and renewal dates from email receipts and confirmations.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to programmatically track subscriptions from Gmail using a MySQL-backed MCP server", "useCases": [ "Extract subscription details automatically from Gmail inbox", "Centralize subscription records in a queryable MySQL database", "Monitor recurring costs and upcoming renewals programmatically" ], "pros": [ "Automates parsing of subscription receipts and confirmations from email", "Uses standard MySQL for flexible querying and integration", "Can be paired with AI assistants via the MCP protocol" ], "cons": [ "Requires manual setup of Gmail API credentials and MySQL database", "Zero GitHub stars indicates a new or untested project with limited community support", "Only supports Gmail; no compatibility with other email providers" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-01-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/nckhemanth0/subscription-tracker-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "elie222-inbox-zero" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/nckhemanth0-subscription-tracker-mcp" }, { "slug": "ndjordjevic-pinrag", "name": "ndjordjevic/pinrag", "vendor": "Various", "tagline": "A powerful RAG (Retrieval-Augmented Generation) system built with LangChain, designed as an MCP server for Cursor, VS Code, and other AI assistants", "description": "pinrag is a Retrieval-Augmented Generation system built with LangChain, packaged as an MCP server for use with AI assistants like Cursor and VS Code. It enables these tools to query a custom knowledge base and retrieve relevant context to enhance responses.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to integrate a custom RAG pipeline into Cursor or VS Code using MCP", "useCases": [ "Connecting a codebase or documentation to Cursor for context-aware code suggestions", "Providing VS Code with a document retrieval backend for Q&A on private knowledge", "Building a lightweight RAG pipeline that integrates with any MCP-compatible assistant" ], "pros": [ "Leverages LangChain for modular RAG pipeline construction", "Uses the MCP standard for broad compatibility with modern AI assistants", "Lightweight Python implementation easy to extend or customize" ], "cons": [ "Very early stage with only 1 star, indicating limited testing and community", "Requires manual setup of the MCP server and connection to an LLM endpoint", "No built-in vector store or embedding management; must be configured by the user" ], "tags": [ "chromadb", "cursor", "discord", "github-repos", "langchain", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/ndjordjevic/pinrag", "relations": { "works_in": [ "cursor" ], "uses": [], "built_with": [ "langchain" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ndjordjevic-pinrag" }, { "slug": "ndl-systems-kevros-mcp", "name": "ndl-systems/kevros-mcp", "vendor": "Various", "tagline": "ndl-systems/kevros-mcp — indexed from awesome-mcp-servers-punkpeye", "description": "Kevros MCP is a Model Context Protocol server that enables AI models to interact with the Kevros system. It exposes Kevros data and operations through the MCP standard for integration with AI assistants and agents.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or assistants that need to leverage Kevros data and operations", "useCases": [ "Connecting language models to Kevros knowledge graphs or workflows", "Building AI agents that query or update Kevros data", "Extending MCP-compatible applications with Kevros capabilities" ], "pros": [ "Open source and follows the MCP standard for interoperability", "Listed in the curated awesome-mcp-servers collection", "Community-maintained with potential for extension" ], "cons": [ "Requires familiarity with both MCP protocol and the Kevros ecosystem", "Documentation and community support may be limited", "Dependency on Kevros system availability and APIs" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/ndl-systems/kevros-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ndl-systems-kevros-mcp" }, { "slug": "ndthanhdev-mcp-browser-kit", "name": "ndthanhdev/mcp-browser-kit", "vendor": "Various", "tagline": "An MCP Server that enables AI assistants to interact with your local browsers.", "description": "An MCP server that exposes browser control actions to AI assistants via the Model Context Protocol. It allows assistants to navigate, click, type, and extract data from local browser instances. Built in TypeScript, it integrates with any MCP-compatible client.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need direct browser automation", "useCases": [ "Automate repetitive browser workflows from an AI assistant", "Perform end-to-end testing of web applications", "Scrape structured data from live web pages" ], "pros": [ "Open source with a permissive license", "Written in TypeScript for type safety and maintainability", "Follows the MCP standard for broad compatibility" ], "cons": [ "Small community with only 53 stars", "Limited documentation and examples", "Requires a local browser instance and MCP client setup" ], "tags": [], "featured": false, "tier": "curated", "stars": 53, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/ndthanhdev/mcp-browser-kit", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "agent-infra-mcp-server-browser", "browsermcp-mcp", "executeautomation-playwright-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ndthanhdev-mcp-browser-kit" }, { "slug": "nebula-block-data-nebulablock-mcp-server", "name": "Nebula-Block-Data/nebulablock-mcp-server", "vendor": "Various", "tagline": "📇 🏠 - integrates with the fastmcp library to expose the full range of NebulaBlock API functionalities as accessible tools", "description": "This Python server uses the fastmcp library to expose NebulaBlock API functionalities as tools via the Model Context Protocol. It provides a standardized interface for AI agents to interact with the NebulaBlock service.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a quick MCP wrapper around the NebulaBlock API for use in agentic applications", "useCases": [ "Accessing NebulaBlock API endpoints from MCP-compatible clients", "Building AI tools that query data from the NebulaBlock service", "Integrating block data retrieval into agent workflows" ], "pros": [ "Leverages the well-structured fastmcp library for MCP compliance", "Python codebase is easy to read and extend", "Open source with no vendor lock-in" ], "cons": [ "Very low GitHub stars (2) indicates early stage and limited community", "Documentation and examples may be sparse", "Tied to the NebulaBlock API, which may itself have limited documentation" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "lastUpdated": "2025-06-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/Nebula-Block-Data/nebulablock-mcp-server", "relations": { "works_in": [], "uses": [ "fastmcp" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/nebula-block-data-nebulablock-mcp-server" }, { "slug": "neilberkman-editorconfig-mcp", "name": "neilberkman/editorconfig_mcp", "vendor": "Various", "tagline": "📇 🏠 - Formats files using `.editorconfig` rules, acting as a proactive formatting gatekeeper to ensure AI-generated code adheres to project-specific formatting standards from the", "description": "A Model Context Protocol server that formats files according to .editorconfig rules. It acts as a proactive formatting gatekeeper, ensuring AI-generated code adheres to project-specific formatting standards before output.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using AI coding assistants who want to automatically enforce project formatting standards", "useCases": [ "Enforce consistent indentation and line endings in AI-generated code", "Automatically format code to match project .editorconfig settings", "Prevent formatting drift when using AI coding assistants" ], "pros": [ "Simple integration with MCP-compatible AI tools", "Enforces existing .editorconfig rules without manual intervention", "Lightweight JavaScript implementation" ], "cons": [ "Limited to .editorconfig rules, not a full linter or formatter", "Requires a pre-existing .editorconfig file in the project", "Only 5 GitHub stars, indicating early-stage or niche adoption" ], "tags": [], "featured": false, "tier": "curated", "stars": 5, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2025-06-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/neilberkman/editorconfig_mcp", "relations": { "works_in": [ "cursor", "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/neilberkman-editorconfig-mcp" }, { "slug": "neo1228-spring-boot-starter-swagger-mcp", "name": "Neo1228/spring-boot-starter-swagger-mcp", "vendor": "Various", "tagline": "Turn SpringDoc OpenAPI into production-ready MCP tools for Spring Boot: discovery, validation, workflows, and guardrails.", "description": "A Spring Boot starter that converts SpringDoc OpenAPI specifications into MCP tools. It enables discovery, validation, workflows, and guardrails for MCP-based interactions with Spring Boot services.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Spring Boot developers who want to expose their OpenAPI-defined services as MCP tools with minimal configuration", "useCases": [ "Expose OpenAPI endpoints as MCP tools in Spring Boot", "Add validation and guardrails to MCP workflows", "Automate discovery of SpringDoc API definitions for MCP" ], "pros": [ "Leverages existing SpringDoc OpenAPI setup for MCP conversion", "Provides built-in production-ready features like guardrails and validation", "Easy integration as a Spring Boot starter" ], "cons": [ "Low community adoption with only 2 stars on GitHub", "Tied to Spring Boot and SpringDoc, limiting flexibility outside that ecosystem", "May lack extensive documentation or examples due to early stage" ], "tags": [ "api-gateway", "java", "java-17", "java-25", "llm-tools", "mcp", "model-context-protocol", "openapi" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "Java" ], "license": "Apache-2.0", "lastUpdated": "2026-05-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/Neo1228/spring-boot-starter-swagger-mcp", "relations": { "works_in": [ "cline", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/neo1228-spring-boot-starter-swagger-mcp" }, { "slug": "neo4j-contrib-mcp-neo4j", "name": "neo4j-contrib/mcp-neo4j", "vendor": "Various", "tagline": "Neo4j Labs Model Context Protocol servers", "description": "An open-source Model Context Protocol (MCP) server that connects AI agents to Neo4j graph databases. It translates MCP requests into Cypher queries, enabling agents to read and write graph data. Developed by Neo4j Labs, written in Python.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building Python-based AI agents that need structured access to Neo4j graph databases via the Model Context Protocol", "useCases": [ "Allow an AI coding assistant to query a Neo4j knowledge graph for context", "Let a conversational agent retrieve and update graph-based data during a session", "Enable autonomous agents to explore database schema and execute read-only Cypher queries" ], "pros": [ "Leverages the emerging MCP standard for tool interoperability", "Maintained by Neo4j Labs with 950+ GitHub stars", "Straightforward Python implementation easy to extend or debug" ], "cons": [ "Requires a running Neo4j database instance to function", "MCP ecosystem is still maturing, so integration options are limited", "No built-in support for authentication or multi-user scenarios" ], "tags": [ "database", "mcp", "mcp-server", "neo4j", "stdio" ], "featured": false, "tier": "curated", "stars": 951, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/neo4j-contrib/mcp-neo4j", "relations": { "works_in": [ "anthropic-computer-use", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/neo4j-contrib-mcp-neo4j" }, { "slug": "neondatabase-mcp-server-neon", "name": "neondatabase/mcp-server-neon", "vendor": "Various", "tagline": "MCP server for interacting with Neon Management API and databases", "description": "An MCP server that connects AI agents (e.g., Claude) to the Neon Management API and databases. It enables creating projects, managing branches, and running SQL queries through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Neon who want to manage databases through AI assistants", "useCases": [ "Manage Neon projects and branches via an AI assistant", "Execute SQL queries on Neon databases through MCP clients", "Automate database provisioning and schema changes" ], "pros": [ "Direct integration with Neon's management API for database operations", "Enables natural language database management via MCP protocol", "Open source with clear TypeScript codebase (606 stars)" ], "cons": [ "Requires an MCP-compatible client (e.g., Claude Desktop) to function", "Limited to Neon's serverless PostgreSQL platform only", "Needs API key configuration for authentication" ], "tags": [], "featured": false, "tier": "curated", "stars": 606, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/neondatabase/mcp-server-neon", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/neondatabase-mcp-server-neon" }, { "slug": "neptun2000-heor-agent-mcp", "name": "neptun2000/heor-agent-mcp", "vendor": "Various", "tagline": "neptun2000/heor-agent-mcp — indexed from awesome-mcp-servers-punkpeye", "description": "A TypeScript implementation of an MCP server for an agent, listed in the awesome-mcp-servers collection. It provides a minimal example of integrating an agent with the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers seeking a lightweight, reference implementation of an agent MCP server", "useCases": [ "Reference for building an MCP-compatible agent server", "Testing MCP protocol interactions with a basic agent", "Learning the structure of a TypeScript MCP server" ], "pros": [ "Written in TypeScript for type safety", "Listed in a curated collection of MCP servers", "Open source with a permissive license" ], "cons": [ "Very few stars indicating limited adoption or maturity", "Lacks documentation or examples beyond the repository", "May not be actively maintained" ], "tags": [], "featured": false, "tier": "curated", "stars": 5, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/neptun2000/heor-agent-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/neptun2000-heor-agent-mcp" }, { "slug": "nesquikm-mcp-rubber-duck", "name": "nesquikm/mcp-rubber-duck", "vendor": "Various", "tagline": "An MCP server that acts as a bridge to query multiple OpenAI-compatible LLMs with MCP tool access. Just like rubber duck debugging, explain your problems to various AI \"ducks\" who", "description": "An MCP server that bridges to multiple OpenAI-compatible LLMs. It provides tool access via the Model Context Protocol. Developers can explain problems to different AI models and get varied perspectives, similar to rubber duck debugging.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to compare answers from multiple AI models during debugging", "useCases": [ "Debugging code by explaining to multiple AI models", "Getting alternative solutions from different LLMs", "Exploring different perspectives on a technical problem" ], "pros": [ "Supports multiple LLMs for varied perspectives", "Integrates with MCP tools for extended functionality", "Open source with 165 stars and active development" ], "cons": [ "Requires OpenAI-compatible API endpoints", "Dependent on MCP protocol adoption", "May not replace human rubber duck debugging" ], "tags": [], "featured": false, "tier": "curated", "stars": 165, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/nesquikm/mcp-rubber-duck", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/nesquikm-mcp-rubber-duck" }, { "slug": "netdata-netdata-netdata", "name": "netdata/netdata#Netdata", "vendor": "Various", "tagline": "The fastest path to AI-powered full stack observability, even for lean teams.", "description": "Netdata is an open-source monitoring and observability platform written in C that collects real-time metrics from systems, containers, and applications. It provides dashboards and alerts for infrastructure health across full stacks with minimal resource overhead.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "DevOps teams and developers needing lightweight, real-time infrastructure monitoring without heavy agent overhead", "useCases": [ "Real-time system and application performance monitoring", "Container and Kubernetes cluster observability", "Infrastructure alerting and anomaly detection" ], "pros": [ "Low CPU and memory footprint, runs efficiently on resource-constrained systems", "Real-time metric collection and visualization with minimal latency", "Open source with large community (79k+ stars) and active maintenance" ], "cons": [ "Requires manual configuration for complex multi-node setups", "Learning curve for advanced alerting and custom metric collection", "Storage and retention policies need tuning for long-term data retention" ], "tags": [ "ai", "alerting", "cncf", "data-visualization", "database", "devops", "docker", "grafana" ], "featured": false, "tier": "curated", "stars": 79017, "language": [ "C" ], "license": "GPL-3.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/netdata/netdata/blob/master/src/web/mcp/README.md", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "docker" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/netdata-netdata-netdata" }, { "slug": "neverlow512-agent-droid-bridge", "name": "Neverlow512/agent-droid-bridge", "vendor": "Various", "tagline": "Agent Droid Bridge gives AI agents programmatic control over Android devices and emulators via ADB, exposed as an MCP server.", "description": "Agent Droid Bridge exposes Android Debug Bridge as an MCP server, enabling AI agents to programmatically control Android devices and emulators. It allows agents to issue ADB commands like input taps, screen captures, and app launches through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agent pipelines that need direct control of Android devices", "useCases": [ "Automate Android UI testing and interaction via agent commands", "Capture device screenshots or logs for agent-based analysis", "Remote control emulators or physical devices for agent workflows" ], "pros": [ "Leverages familiar ADB tooling without extra abstraction", "MCP server design makes integration straightforward for agents", "Enables automation of Android tasks previously requiring manual ADB" ], "cons": [ "Requires ADB setup and USB/WiFi debugging configuration", "Limited to Android devices or emulators with ADB enabled", "Small community (<20 stars), potentially limited support" ], "tags": [ "adb", "agentic-ai", "android", "claude-code", "cursor", "mcp-server" ], "featured": false, "tier": "curated", "stars": 15, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/Neverlow512/agent-droid-bridge", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/neverlow512-agent-droid-bridge" }, { "slug": "newageflyfish-max-volthq", "name": "newageflyfish-max/volthq", "vendor": "Various", "tagline": "newageflyfish-max/volthq — indexed from awesome-mcp-servers-punkpeye", "description": "Volthq is an MCP server implementation hosted on GitHub under the newageflyfish-max repository. It is indexed in the awesome-mcp-servers-punkpeye collection, providing a tool for AI assistants to interact with developer workflows through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a lightweight MCP server for integrating AI assistants into their development environment", "useCases": [ "Integrating AI assistants with developer tools via MCP", "Automating common development tasks through context-aware commands", "Enhancing IDE or terminal workflows with AI-driven interactions" ], "pros": [ "Open source and freely available on GitHub", "Leverages the standard MCP protocol for interoperability", "Listed in a curated collection of MCP servers for discoverability" ], "cons": [ "Limited documentation beyond the repository description", "Requires familiarity with the MCP protocol to configure and use", "Potential for limited community support or maintenance" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/newageflyfish-max/volthq", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp", "agent-infra-mcp-server-browser", "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/newageflyfish-max-volthq" }, { "slug": "nexusfeed-nexusfeed-mcp", "name": "NexusFeed/nexusfeed-mcp", "vendor": "Various", "tagline": "NexusFeed/nexusfeed-mcp — indexed from awesome-mcp-servers-punkpeye", "description": "A Python MCP server for NexusFeed indexed from the awesome-mcp-servers collection. The repository has no stars and minimal documentation, suggesting early or placeholder status.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring MCP server implementations for feed management, but with limited confidence.", "useCases": [ "Integrating NexusFeed feed data with MCP-compatible agents", "Querying or managing feed subscriptions via a standardized protocol", "Experimenting with MCP server patterns for feed services" ], "pros": [ "Listed on a curated MCP servers directory", "Python-based for accessible development", "Open source under MIT license" ], "cons": [ "No stars, community activity, or clear evidence of functionality", "Lack of documentation or contributing guidelines", "Uncertain whether it is a viable integration" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/NexusFeed/nexusfeed-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/nexusfeed-nexusfeed-mcp" }, { "slug": "nexusforge-tools-mcp-eu-finance", "name": "nexusforge-tools/mcp-eu-finance", "vendor": "Various", "tagline": "MCP server for European financial data — ECB rates, Eurostat inflation, GDP, unemployment. Works with Claude, Cursor, Windsurf.", "description": "A Model Context Protocol server that provides European financial data from the ECB and Eurostat, including exchange rates, inflation, GDP, and unemployment figures. It integrates with Claude, Cursor, and Windsurf to let developers query official EU statistics through natural language or code.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building EU-focused financial tools or dashboards who want to query official statistics via AI assistants.", "useCases": [ "Fetch live ECB exchange rates for currency conversion in financial apps", "Pull Eurostat inflation or GDP data for economic dashboards", "Query unemployment statistics to enrich market analysis tools" ], "pros": [ "Direct access to authoritative EU financial datasets without scraping", "Works with popular AI coding assistants for quick data retrieval", "TypeScript codebase is easy to extend or debug" ], "cons": [ "Zero stars and no community traction suggests limited testing or support", "Only covers EU data, not global financial indicators", "Requires MCP-compatible clients, limiting standalone use" ], "tags": [ "claude", "cline", "cursor", "ecb", "europe", "eurostat", "finance", "mcp" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/nexusforge-tools/mcp-eu-finance", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/nexusforge-tools-mcp-eu-finance" }, { "slug": "nfemmanuel-iranti", "name": "nfemmanuel/iranti", "vendor": "Various", "tagline": "Memory infrastructure for multi-agent AI systems. Shared, persistent, consistent knowledge for agents that need to stop forgetting.", "description": "Iranti provides shared persistent memory for multi-agent AI systems. It allows agents to store and retrieve knowledge across sessions, preventing forgetting. Built in Python, it focuses on consistency and persistence in agent coordination.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building experimental multi-agent systems in Python that require persistent shared memory.", "useCases": [ "Building multi-agent systems that need long-term memory across interactions", "Enabling agents to share context and state consistently over time", "Persisting agent knowledge for reuse in ongoing conversations or tasks" ], "pros": [ "Lightweight Python library with a focused purpose", "Designed specifically for multi-agent memory coordination", "Open source and free to use" ], "cons": [ "Low community adoption (3 stars) suggests limited real-world validation", "May lack comprehensive documentation or production stability", "Python-only, limiting use in polyglot stacks" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "Python" ], "lastUpdated": "2026-04-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/nfemmanuel/iranti", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "topoteretes-cognee", "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/nfemmanuel-iranti" }, { "slug": "nguyenvanduocit-all-in-one-model-context-protocol", "name": "nguyenvanduocit/all-in-one-model-context-protocol", "vendor": "Various", "tagline": "🚀 All-in-one MCP server with AI search, RAG, and multi-service integrations (GitLab/Jira/Confluence/YouTube) for AI-enhanced development workflows", "description": "This is a single MCP server that bundles AI search, retrieval-augmented generation, and connectors for GitLab, Jira, Confluence, and YouTube. It exposes these capabilities to any Model Context Protocol client, letting developers query documentation, search code repositories, and pull project management data without switching tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to add AI-driven search and multi-service integrations to their MCP-based development environment.", "useCases": [ "Querying Jira issues and Confluence docs from an AI chat client", "Searching GitLab repositories and YouTube videos via natural language", "Running RAG on internal documentation alongside live web search" ], "pros": [ "All-in-one setup reduces the need to configure separate MCP servers", "Integrates common developer tools (GitLab, Jira) out of the box", "Lightweight Node.js project with clear README and quick start" ], "cons": [ "Tied to the MCP protocol, so it only works with MCP-compatible clients", "No built-in authentication or access controls for the bundled APIs", "Small community (102 stars) means limited third-party support" ], "tags": [ "deepseek", "mcp", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 102, "language": [], "lastUpdated": "2025-02-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/nguyenvanduocit/all-in-one-model-context-protocol", "relations": { "works_in": [ "claude-code", "cline", "cursor", "continue", "github" ], "uses": [ "fastmcp" ], "built_with": [ "langchain", "litellm" ], "pairs_with": [ "sooperset-mcp-atlassian", "idosal-git-mcp", "klavis-ai-youtube", "exa-labs-exa-mcp-server", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/nguyenvanduocit-all-in-one-model-context-protocol" }, { "slug": "nguyenvanduocit-jira-mcp", "name": "nguyenvanduocit/jira-mcp", "vendor": "Various", "tagline": "A Go-based MCP (Model Control Protocol) connector for Jira that enables AI assistants like Claude to interact with Atlassian Jira. This tool provides a seamless interface for AI mo", "description": "A Go-based connector that implements the Model Control Protocol (MCP) for Atlassian Jira. It allows AI assistants like Claude to perform Jira operations such as issue management, sprint planning, and workflow transitions through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers integrating AI assistants with Jira for automated project management tasks", "useCases": [ "Creating and updating Jira issues via natural language in an AI assistant", "Querying sprint progress and assigning tasks through chat commands", "Automating workflow transitions like moving issues to in-progress or done" ], "pros": [ "Written in Go, offering good performance and straightforward deployment", "Provides a standardized MCP interface, simplifying integration with AI assistants", "Covers essential Jira operations including issues, sprints, and transitions" ], "cons": [ "Tied to the Atlassian Jira ecosystem, not usable with other issue trackers", "Requires a compatible MCP host (e.g., Claude) to function", "Relatively small community (89 stars), which may indicate less real-world testing at scale" ], "tags": [ "ai", "golang-mcp", "jira", "jira-mcp", "mcp" ], "featured": false, "tier": "curated", "stars": 89, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-04-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/nguyenvanduocit/jira-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "sooperset-mcp-atlassian" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/nguyenvanduocit-jira-mcp" }, { "slug": "nicholasbester-clickup-cli", "name": "nicholasbester/clickup-cli", "vendor": "Various", "tagline": "CLI for the ClickUp API, optimized for AI agents", "description": "A Rust-based command-line interface for the ClickUp API, designed to be used by AI agents. It provides a structured way to interact with ClickUp tasks, lists, and folders from the terminal.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and AI agents needing a scriptable, low-overhead ClickUp client", "useCases": [ "Automate task creation and updates from CI/CD pipelines", "Query ClickUp data for AI agent context or reporting", "Integrate ClickUp operations into shell scripts or workflows" ], "pros": [ "Lightweight and fast due to Rust compilation", "Optimized for programmatic use by AI agents", "Simple CLI interface for common ClickUp actions" ], "cons": [ "Small community with only 18 GitHub stars", "Limited to features exposed by the ClickUp API", "Requires manual API token setup and management" ], "tags": [], "featured": false, "tier": "curated", "stars": 18, "language": [ "Rust" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/nicholasbester/clickup-cli", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "eyaltoledano-claude-task-master" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/nicholasbester-clickup-cli" }, { "slug": "nicholasglazer-gnosis-mcp", "name": "nicholasglazer/gnosis-mcp", "vendor": "Various", "tagline": "Zero-config MCP server for searchable documentation (SQLite default, PostgreSQL optional)", "description": "A zero-configuration MCP server that provides searchable documentation indexed in a local SQLite database (PostgreSQL optional). It is implemented in Python and designed for easy integration with MCP-compatible clients. The server indexes and retrieves documentation content for quick lookup.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a simple, self-hosted documentation search server for MCP clients", "useCases": [ "Quickly search local documentation from an AI assistant", "Index and query developer docs without manual configuration", "Embed documentation search into MCP-compatible workflows" ], "pros": [ "Zero-config setup reduces deployment friction", "Supports both SQLite and PostgreSQL for flexibility", "Lightweight Python server easy to extend" ], "cons": [ "Limited to documentation search, not a general-purpose MCP server", "Small community and limited updates (23 stars)", "PostgreSQL support requires manual configuration" ], "tags": [ "ai", "claude", "developer-tools", "documentation", "knowledge-base", "llm", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 23, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/nicholasglazer/gnosis-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "topoteretes-cognee", "upstash-context7" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/nicholasglazer-gnosis-mcp" }, { "slug": "nickclyde-duckduckgo-mcp-server", "name": "nickclyde/duckduckgo-mcp-server", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server that provides web search capabilities through DuckDuckGo, with additional features for content fetching and parsing.", "description": "A Model Context Protocol (MCP) server that enables AI agents to search the web through DuckDuckGo. It also fetches and parses the content of search result pages. No API key is required for the search backend.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-compatible AI agents that need web search without API keys", "useCases": [ "Adding privacy-respecting web search to MCP-enabled AI agents", "Fetching and summarizing page content from search results", "Building a search tool without relying on paid search APIs" ], "pros": [ "No API key required for DuckDuckGo search", "Simple setup as a standard MCP server for agent integration", "Active open source project with 1,199 stars and community support" ], "cons": [ "Subject to DuckDuckGo rate limits and potential blocking", "Search results are less comprehensive than Google or Bing", "Requires MCP-compatible clients, limiting non-MCP use" ], "tags": [], "featured": false, "tier": "curated", "stars": 1199, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/nickclyde/duckduckgo-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "browsermcp-mcp", "agent-infra-mcp-server-browser" ], "alternative_to": [ "exa-labs-exa-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/nickclyde-duckduckgo-mcp-server" }, { "slug": "nickpending-mcp-recon", "name": "nickpending/mcp-recon", "vendor": "Various", "tagline": "Tellix is a conversational recon interface powered by httpx and LLMs. Just ask.", "description": "A conversational reconnaissance tool that combines httpx and large language models to let users perform security recon through natural language queries. Users ask questions and the tool leverages LLMs to interpret requests and execute httpx commands for HTTP probing and information gathering.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Security researchers and penetration testers who want a conversational shortcut for HTTP-based reconnaissance", "useCases": [ "Ask natural language questions about target infrastructure during penetration testing", "Automate initial reconnaissance steps without writing complex command-line arguments", "Quickly probe endpoints and gather HTTP response data for security analysis" ], "pros": [ "Natural language interface lowers the barrier for running recon commands", "Combines the speed of httpx with LLM-driven reasoning for flexible queries", "Simple 'just ask' workflow reduces context switching during security assessments" ], "cons": [ "Low GitHub star count (27) suggests limited community validation and stability", "Dependent on LLM reliability and httpx capabilities, which may misinterpret complex queries", "Niche use case may lack broad documentation or examples for diverse recon scenarios" ], "tags": [], "featured": false, "tier": "curated", "stars": 27, "language": [ "Go" ], "lastUpdated": "2025-04-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/nickpending/mcp-recon", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/nickpending-mcp-recon" }, { "slug": "nicktcode-swissgroceries-mcp", "name": "nicktcode/swissgroceries-mcp", "vendor": "Various", "tagline": "MCP server for Swiss grocery stores: Migros, Coop, Aldi, Denner, Lidl", "description": "MCP server that connects AI assistants to data from Swiss grocery chains Migros, Coop, Aldi, Denner, and Lidl. It uses the Model Context Protocol to let large language models query product and store information directly.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI tools for Swiss grocery shopping or price comparison", "useCases": [ "Retrieve product information from Swiss grocery stores", "Integrate grocery data into AI-powered shopping assistants", "Query store locations and hours through natural language" ], "pros": [ "Covers the five largest Swiss grocery chains in one server", "Supports direct integration with LLMs via standard MCP protocol", "Open source and written in TypeScript" ], "cons": [ "Limited community adoption with only 15 GitHub stars", "May lack comprehensive documentation or examples", "Data freshness and completeness depend on upstream sources" ], "tags": [ "aldi", "anthropic", "claude", "coop", "denner", "grocery", "lidl", "mcp" ], "featured": false, "tier": "curated", "stars": 15, "language": [ "TypeScript" ], "lastUpdated": "2026-05-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/nicktcode/swissgroceries-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "claude-code" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/nicktcode-swissgroceries-mcp" }, { "slug": "nicolascroce-keepsake-mcp", "name": "nicolascroce/keepsake-mcp", "vendor": "Various", "tagline": "MCP server for Keepsake personal CRM — connect your AI agent to your contacts, tasks, notes, and more", "description": "An MCP server that bridges an AI agent with Keepsake, a personal CRM. It exposes contacts, tasks, and notes as resources and tools that the agent can read and write through the Model Context Protocol. Built in TypeScript, it runs as a standalone process that connects to Keepsake's data store.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI workflows around personal relationship management", "useCases": [ "Automatically log meeting notes and follow-ups to a contact", "Query tasks for a specific person or project", "Update contact details or add notes via a chat interface" ], "pros": [ "Direct integration between AI agents and personal CRM data", "Leverages the standardized MCP protocol for interoperability", "Open source and easy to inspect or extend" ], "cons": [ "Zero stars on GitHub suggests very early stage or limited adoption", "Requires a running Keepsake instance and MCP-compatible client", "Dependency on third-party Keepsake service may affect reliability" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/nicolascroce/keepsake-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "eyaltoledano-claude-task-master", "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/nicolascroce-keepsake-mcp" }, { "slug": "nicolasprimeau-artel", "name": "NicolasPrimeau/artel", "vendor": "Various", "tagline": "Self-hosted coordination layer for AI agent fleets: shared memory, tasks, messaging, and session handoffs. Instances mesh together via feeds and mDNS. An autonomous archivist keeps", "description": "Self-hosted coordination layer for AI agent fleets. It provides shared memory, task management, messaging, and session handoffs. Instances mesh via feeds and mDNS, and an autonomous archivist maintains collective knowledge.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want a lightweight, self-hosted orchestration backbone for multi-agent systems", "useCases": [ "Orchestrate multiple autonomous agents with shared context", "Route tasks and messages between distributed agent instances", "Maintain coherent collective memory across a fleet of agents" ], "pros": [ "Self-hosted for full data control and privacy", "Simple mesh discovery using mDNS", "Built-in archivist automates knowledge cleanup" ], "cons": [ "Very early-stage project with limited adoption (2 stars on GitHub)", "Requires self-hosting effort and infrastructure management", "Python-only, limiting integration with non-Python agents" ], "tags": [ "agent-memory", "ai-agents", "claude", "fastapi", "llm", "mcp", "mcp-server", "multi-agent" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/NicolasPrimeau/artel", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [ "topoteretes-cognee", "eyaltoledano-claude-task-master" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/nicolasprimeau-artel" }, { "slug": "nihalxkumar-arch-mcp", "name": "nihalxkumar/arch-mcp", "vendor": "Various", "tagline": "Arch Linux MCP (Model Context Protocol) Server", "description": "Arch Linux MCP Server implements the Model Context Protocol for Arch Linux systems. It enables AI tools to interact with an Arch Linux environment through structured commands and queries. The server is written in Python and provides a bridge between AI assistants and the operating system.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Arch Linux users who want to manage their system through AI assistants", "useCases": [ "Query system package information via AI assistants", "Execute common administrative tasks through MCP-compatible tools", "Integrate Arch Linux with AI workflows that use the Model Context Protocol" ], "pros": [ "Lightweight Python implementation with minimal dependencies", "Leverages the standard MCP protocol for broad client compatibility", "Open source and publicly available on GitHub" ], "cons": [ "Limited to Arch Linux systems only", "Requires an MCP-compatible client or AI tool to be useful", "Small project with 46 stars and limited community support" ], "tags": [ "arch-linux", "archlinux", "aur", "mcp", "mcp-server", "mcp-servers", "modelcontextprotocol" ], "featured": false, "tier": "curated", "stars": 46, "language": [ "Python" ], "license": "GPL-3.0", "lastUpdated": "2026-03-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/nihalxkumar/arch-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "wonderwhy-er-desktopcommandermcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/nihalxkumar-arch-mcp" }, { "slug": "nikicat-mcp-wallet-signer", "name": "nikicat/mcp-wallet-signer", "vendor": "Various", "tagline": "MCP server that routes blockchain transactions to browser wallets for signing", "description": "An MCP server that routes blockchain transactions to browser wallets for signing. It enables AI agents or tools to propose transactions that users approve directly in extensions like MetaMask. Written in TypeScript, it acts as a bridge between MCP-based systems and web3 wallets.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need user-approved blockchain transactions", "useCases": [ "Integrate blockchain transaction signing into AI agent workflows", "Allow AI to propose transactions that users approve in their browser wallet", "Bridge MCP-based tools with web3 wallets for secure signing" ], "pros": [ "Keeps private keys secure by using browser wallet signing", "Enables AI agents to initiate transactions with user approval", "Open source and written in TypeScript" ], "cons": [ "Very early stage with only 1 star and minimal community adoption", "Requires a browser wallet extension installed and connected", "Limited documentation and proven reliability" ], "tags": [ "ai-agent", "blockchain", "eip-6963", "ethereum", "mcp", "metamask", "model-context-protocol", "non-custodial" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/nikicat/mcp-wallet-signer", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/nikicat-mcp-wallet-signer" }, { "slug": "nikolai-vysotskyi-trace-mcp", "name": "nikolai-vysotskyi/trace-mcp", "vendor": "Various", "tagline": "MCP server for Claude Code and Codex. One tool call replaces ~42 minutes of agent exploration", "description": "A Model Context Protocol server for Claude Code and Codex. It provides a single tool call that can replace approximately 42 minutes of agent exploration. The server is written in TypeScript and is available on GitHub.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude Code or Codex who want to speed up agent exploration and debugging", "useCases": [ "Accelerating codebase exploration in Claude Code", "Reducing debugging time when using Codex", "Automating repetitive agent exploration tasks" ], "pros": [ "Dramatically reduces agent exploration time", "Integrates with popular AI coding tools Claude Code and Codex", "Open source and free to use" ], "cons": [ "Only works with Claude Code and Codex environments", "Small community with only 84 GitHub stars may limit support", "New tool with limited real-world validation" ], "tags": [ "ai-agents", "claude", "claude-ai", "claude-code", "claude-code-plugin", "claude-code-skill", "claude-desktop", "claude-skill" ], "featured": false, "tier": "curated", "stars": 84, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/nikolai-vysotskyi/trace-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/nikolai-vysotskyi-trace-mcp" }, { "slug": "niledatabase-nile-mcp-server", "name": "niledatabase/nile-mcp-server", "vendor": "Various", "tagline": "MCP server for Nile Database - Manage and query databases, tenants, users, auth using LLMs", "description": "This MCP server enables large language models to manage and query Nile databases, tenants, users, and authentication. It uses the Model Context Protocol to expose database operations as tool calls for LLM agents. Built in TypeScript, it bridges LLMs with the multi-tenant PostgreSQL platform Nile.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building multi-tenant applications on Nile who want LLM-driven database management", "useCases": [ "Allow an LLM to create and list database tenants", "Query user authentication records via natural language", "Manage database schemas through conversational agents" ], "pros": [ "Direct integration with Nile Database, a purpose-built multi-tenant Postgres", "Simple MCP interface works with any LLM client supporting the protocol", "TypeScript codebase familiar to many web developers" ], "cons": [ "Small community and few GitHub stars (17) indicating early adoption", "Only useful if you already use Nile Database", "Limited to Nile-specific operations, not a general database query tool" ], "tags": [], "featured": false, "tier": "curated", "stars": 17, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-03-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/niledatabase/nile-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/niledatabase-nile-mcp-server" }, { "slug": "nishant-chaudhary5338-mcp-toolkit", "name": "Nishant-Chaudhary5338/mcp-toolkit", "vendor": "Various", "tagline": "9 MCP servers for React + TypeScript automation — component scaffolding, dep auditing, WCAG checking, test generation, TypeScript enforcement, and monorepo management.", "description": "A collection of 9 MCP servers for automating React and TypeScript development tasks. It provides tools for component scaffolding, dependency auditing, WCAG accessibility checking, test generation, TypeScript enforcement, and monorepo management. The servers integrate with MCP-compatible editors to streamline common workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building React and TypeScript applications who want automated scaffolding, testing, and auditing via MCP", "useCases": [ "Scaffold new React components with TypeScript templates", "Audit project dependencies for security and version issues", "Generate unit tests for React components automatically" ], "pros": [ "Covers multiple automation tasks in a single toolkit", "Uses the MCP protocol for editor integration", "Focused on the React and TypeScript ecosystem" ], "cons": [ "Zero stars indicates very low adoption or early stage", "Limited to MCP-compatible editors and environments", "No community or proven track record of maintenance" ], "tags": [ "aitools", "claude", "claude-code", "developer-tools", "mcp", "mcp-server", "model-context-protocol", "monorepo" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/Nishant-Chaudhary5338/mcp-toolkit", "relations": { "works_in": [ "cursor", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/nishant-chaudhary5338-mcp-toolkit" }, { "slug": "nk3750-jitapi", "name": "nk3750/jitapi", "vendor": "Various", "tagline": "Just-in-Time API Orchestration for LLMs - An MCP server for dynamic API discovery and execution", "description": "An MCP server that enables LLMs to discover and execute APIs dynamically at runtime. It generates API call configurations on demand rather than relying on pre-registered endpoints. The tool is written in Python and aimed at developers integrating LLMs with external services.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building experimental LLM agents that need on-the-fly API access", "useCases": [ "Enabling LLMs to call arbitrary APIs without hardcoding endpoints", "Dynamic runtime discovery of API operations for agent workflows", "Orchestrating complex multi-step API sequences from natural language" ], "pros": [ "Reduces boilerplate by automating API discovery", "Supports just-in-time configuration for flexible integrations", "Lightweight Python implementation suitable for prototyping" ], "cons": [ "Limited adoption with only 6 GitHub stars suggests early-stage or niche use", "Documentation may be sparse due to low community involvement", "Dynamic discovery can introduce latency and unpredictability in API calls" ], "tags": [], "featured": false, "tier": "curated", "stars": 6, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/nk3750/jitapi", "relations": { "works_in": [ "cursor", "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/nk3750-jitapi" }, { "slug": "nnemirovsky-iwdp-mcp", "name": "nnemirovsky/iwdp-mcp", "vendor": "Various", "tagline": "MCP server + CLI for iOS Safari debugging via ios-webkit-debug-proxy — full WebKit Inspector Protocol support", "description": "An MCP server and CLI that enables debugging of iOS Safari web views via the WebKit Inspector Protocol. It uses ios-webkit-debug-proxy to connect to iOS devices and exposes MCP-compatible endpoints for inspection and control.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing MCP-based remote debugging of iOS Safari web views", "useCases": [ "Remotely debug JavaScript and CSS on iOS Safari", "Automate interactions with web views on iOS devices", "Inspect and manipulate live web views from desktop tools" ], "pros": [ "Full WebKit Inspector Protocol support", "Works with MCP-compatible clients and workflows", "Lightweight Go implementation" ], "cons": [ "Requires ios-webkit-debug-proxy and a connected iOS device or simulator", "Low GitHub star count suggests limited community and maturity", "Only supports iOS Safari, not other browsers or platforms" ], "tags": [ "ai", "apple", "automation", "claude", "claude-code", "debugging", "devtools", "go" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-05-03", "addedAt": "2026-06-01", "officialLink": "https://github.com/nnemirovsky/iwdp-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mobile-next-mobile-mcp", "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/nnemirovsky-iwdp-mcp" }, { "slug": "nkapila6-mcp-local-rag", "name": "nkapila6/mcp-local-rag", "vendor": "Various", "tagline": "\"primitive\" RAG-like web search model context protocol (MCP) server that runs locally. ✨ no APIs ✨", "description": "A locally run Model Context Protocol (MCP) server that performs a primitive RAG-like web search without relying on any external APIs. It indexes and retrieves content using local resources only, emphasizing simplicity and offline operation.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring local RAG and MCP with a no-API, keep-it-simple approach", "useCases": [ "Building a private, offline retrieval-augmented generation workflow", "Prototyping a local search tool for personal documents or intranet content", "Experimenting with MCP and RAG concepts without cloud dependencies" ], "pros": [ "No external API keys or costs required", "Fully offline, preserving data privacy", "Lightweight Python implementation easy to modify" ], "cons": [ "Described as 'primitive', so likely limited indexing and retrieval quality", "May lack advanced RAG features like chunking, embedding optimization, or ranking", "Small community (126 stars) and minimal documentation beyond the repo" ], "tags": [ "mcp", "mcp-server", "model-context-protocol", "rag", "web-seach" ], "featured": false, "tier": "curated", "stars": 126, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/nkapila6/mcp-local-rag", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "exa-labs-exa-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/nkapila6-mcp-local-rag" }, { "slug": "noblabs-lit-forge-mcp", "name": "noblabs/lit-forge-mcp", "vendor": "Various", "tagline": "MCP server (18 tools): NISA/iDeCo/retirement simulation, 28-indicator market snapshot, individual stock fundamentals (dividend/analyst), economic release calendars from 6 official", "description": "An MCP server that provides 18 tools for financial analysis. It covers Japanese retirement account simulation (NISA/iDeCo), a 28-indicator market snapshot, individual stock fundamentals, economic release calendars from six official sources, BLS macro values, and a geopolitical calendar with pulse. It integrates with AI assistants through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building financial AI assistants or tools for Japanese markets", "useCases": [ "Simulate NISA/iDeCo retirement scenarios", "Get a 28-indicator market snapshot", "Fetch economic release calendars from official sources" ], "pros": [ "Aggregates multiple financial data sources into one MCP server", "Includes Japanese-specific retirement tools", "Provides geopolitical calendar and pulse" ], "cons": [ "Low community adoption with only 1 star", "Limited to financial data, not general purpose", "Requires an MCP-compatible client to use" ], "tags": [ "analyst", "bls", "claude", "compound-interest", "dividend", "economic-calendar", "finance", "forex" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/noblabs/lit-forge-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "antv-mcp-server-chart", "exa-labs-exa-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/noblabs-lit-forge-mcp" }, { "slug": "nolas-shadow-agent1st-ads-mcp", "name": "Nolas-Shadow/agent1st-ads-mcp", "vendor": "Various", "tagline": "Facebook and Tic Toc MCP", "description": "A JavaScript MCP server that provides access to Facebook and TikTok advertising APIs. It enables AI agents to manage ad campaigns, retrieve performance data, and automate ad operations through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to interact with Facebook and TikTok advertising APIs", "useCases": [ "Automate ad campaign creation and management across Facebook and TikTok", "Pull real-time ad performance metrics into AI agent workflows", "Integrate ad platform data with other MCP-compatible tools" ], "pros": [ "Direct integration with two major ad platforms via a single MCP server", "Lightweight JavaScript implementation easy to extend or modify", "Open source with permissive license for custom deployments" ], "cons": [ "Very early stage with only 2 GitHub stars and minimal community adoption", "Limited documentation and no clear usage examples beyond the basic description", "Requires separate API credentials and setup for each ad platform" ], "tags": [ "agent1st", "agent1st-ads", "mcp", "mcp-server", "meta-ads", "model-context-protocol", "tiktok-ads" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/Nolas-Shadow/agent1st-ads-mcp", "relations": { "works_in": [ "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/nolas-shadow-agent1st-ads-mcp" }, { "slug": "non906-omniparser-autogui-mcp", "name": "NON906/omniparser-autogui-mcp", "vendor": "Various", "tagline": "Automatic operation of on-screen GUI.", "description": "A Python tool for automating on-screen GUI operations by parsing visual elements. It uses omniparser and MCP to interpret screen content and execute actions. Designed for developers to script GUI workflows without native API support.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing visual-based GUI automation for non-standard or legacy applications", "useCases": [ "Automate repetitive desktop workflows", "Control legacy or inaccessible GUI applications", "Integrate GUI automation into larger MCP-based systems" ], "pros": [ "Open source and extensible in Python", "Visual parsing approach works across different GUI frameworks", "Integrates with MCP for model-controlled automation" ], "cons": [ "Limited community and documentation due to low star count", "May struggle with dynamic or non-standard UI elements", "Requires careful setup for specific screen resolutions and layouts" ], "tags": [], "featured": false, "tier": "curated", "stars": 67, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-03-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/NON906/omniparser-autogui-mcp", "relations": { "works_in": [ "anthropic-computer-use" ], "uses": [], "built_with": [], "pairs_with": [ "wonderwhy-er-desktopcommandermcp" ], "alternative_to": [ "mediar-ai-screenpipe" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/non906-omniparser-autogui-mcp" }, { "slug": "nonatofabio-local-faiss-mcp", "name": "nonatofabio/local-faiss-mcp", "vendor": "Various", "tagline": "Local FAISS vector store as an MCP server – Agent Memory, drop-in local semantic search for Claude / Copilot / Agents.", "description": "A Python server that wraps a local FAISS vector store into the Model Context Protocol. It provides drop-in semantic search and memory for agents like Claude and Copilot without external cloud services.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a lightweight, self-hosted semantic memory for AI agents running on their own hardware.", "useCases": [ "Give Claude persistent memory by storing and retrieving conversation context", "Perform local semantic search on documents for Copilot agents", "Embed queries and return similar items for RAG workflows" ], "pros": [ "Fully local and private, no cloud dependency", "Works with any MCP-compatible agent out of the box", "Simple Python setup with minimal dependencies" ], "cons": [ "Small user base (30 stars) limits community support and examples", "Requires self-hosting and manual maintenance", "FAISS index is in-memory, not designed for large or persistent datasets" ], "tags": [ "agentic-ai", "ai-agents", "ai-tools", "faiss", "llm-tools", "local-rag", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 30, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/nonatofabio/local_faiss_mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "upstash-context7" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/nonatofabio-local-faiss-mcp" }, { "slug": "notasandy-mcp-code-sanitizer", "name": "notasandy/mcp-code-sanitizer", "vendor": "Various", "tagline": "Strict AI code reviewer MCP server powered by Groq", "description": "A strict AI code reviewer MCP server that uses Groq to analyze and sanitize code. It runs as a Python-based server and integrates with MCP-compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a lightweight, Groq-based code review tool in MCP workflows", "useCases": [ "Automated code review for pull requests", "Sanitizing code before deployment", "Enforcing coding standards in CI pipelines" ], "pros": [ "Leverages Groq for fast inference", "Simple Python implementation", "Integrates with MCP ecosystem" ], "cons": [ "Very early stage with only 1 star", "Limited community support and documentation", "Dependent on Groq API availability" ], "tags": [ "ai-code-review", "claude-code", "code-review", "cursor", "groq", "llm", "mcp-server", "security" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/notasandy/mcp-code-sanitizer", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/notasandy-mcp-code-sanitizer" }, { "slug": "novyxlabs-novyx-mcp", "name": "novyxlabs/novyx-mcp", "vendor": "Various", "tagline": "novyxlabs/novyx-mcp — indexed from awesome-mcp-servers-punkpeye", "description": "An open-source MCP server from the novyx-core project that exposes Novyx platform capabilities through the Model Context Protocol. It enables AI assistants to invoke Novyx data and tools via standardized MCP interfaces.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI integrations within the Novyx ecosystem", "useCases": [ "Integrating AI agents with Novyx data sources and APIs", "Building context-aware AI workflows on the Novyx platform", "Enabling custom tool calls through MCP-compliant clients" ], "pros": [ "Part of a modular novyx-core ecosystem", "MCP-compliant for broad AI client compatibility", "Open-source with community contributions" ], "cons": [ "Limited documentation outside of the repository", "Requires familiarity with novyx-core setup", "Niche use case tied to the Novyx platform" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/novyxlabs/novyx-core/tree/main/packages/novyx-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/novyxlabs-novyx-mcp" }, { "slug": "nteract-semiotic", "name": "nteract/semiotic", "vendor": "Various", "tagline": "React data visualization library for streaming, networks, and AI-assisted development", "description": "Semiotic is a React data visualization library focused on streaming data, network graphs, and interactive charts. It provides declarative components for building custom visualizations with TypeScript support.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "React developers needing streaming or network visualizations", "useCases": [ "Building real-time dashboards with streaming data", "Creating interactive network or graph visualizations", "Developing custom chart components in React applications" ], "pros": [ "Declarative React components simplify integration", "Good support for streaming and dynamic data", "TypeScript native for type safety" ], "cons": [ "Smaller community and fewer examples than D3 or Chart.js", "Documentation can be sparse for advanced use cases", "Limited to React ecosystem only" ], "tags": [ "ai", "d3", "data-visualization", "nteract", "react", "streaming", "visualization" ], "featured": false, "tier": "curated", "stars": 2670, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/nteract/semiotic", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "antv-mcp-server-chart", "mckinsey-vizro-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/nteract-semiotic" }, { "slug": "ntriq-gh-ntriq-agentshop", "name": "ntriq-gh/ntriq-agentshop", "vendor": "Various", "tagline": "AI agent data market — 6 analysis APIs via x402 micropayments (USDC on Base). Pay-per-use document intelligence, invoice extraction, PII detection, sentiment analysis. No API keys", "description": "ntriq-gh/ntriq-agentshop is an open-source marketplace for AI agent data. It offers six analysis APIs accessible via x402 micropayments using USDC on Base. Services include document intelligence, invoice extraction, PII detection, and sentiment analysis without requiring API keys.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers seeking flexible, low-commitment AI analysis via micropayments without traditional API subscription overhead", "useCases": [ "Pay per use for document intelligence without managing API keys", "Extract structured data from invoices with micropayments", "Detect and redact personally identifiable information on demand" ], "pros": [ "No API keys needed reduces integration friction", "Pay per use eliminates upfront commitment or monthly fees", "Leverages fast, low-cost Base blockchain for micropayments" ], "cons": [ "Only six APIs available, limiting scope of use", "Zero stars suggests early stage with little community validation", "Requires familiarity with cryptocurrency and Base chain for payments" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/ntriq-gh/ntriq-agentshop", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ntriq-gh-ntriq-agentshop" }, { "slug": "nullpath-labs-mcp-client", "name": "nullpath-labs/mcp-client", "vendor": "Various", "tagline": "Discover and pay AI agents on nullpath's marketplace via MCP. x402 micropayments with USDC.", "description": "A TypeScript client for discovering and paying AI agents on nullpath's marketplace using the Model Context Protocol (MCP). It enables x402 micropayments with USDC for agent usage.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building applications that need to discover and pay for AI agents on a per-call basis using crypto micropayments.", "useCases": [ "Integrate paid AI agent calls into your application via MCP", "Discover available agents on the nullpath marketplace programmatically", "Handle USDC micropayments for per-use agent access" ], "pros": [ "Enables pay-per-use agent access without subscription overhead", "Uses standard MCP for interoperability", "Simple TypeScript client for quick integration" ], "cons": [ "Requires USDC and blockchain infrastructure for payments", "Limited to agents listed on nullpath's marketplace", "No community traction yet (0 stars)" ], "tags": [ "agent-payments", "agents", "ai", "ai-agents", "ai-marketplace", "base", "claude-desktop", "coinbase" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-02-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/nullpath-labs/mcp-client", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/nullpath-labs-mcp-client" }, { "slug": "nwiizo-tfmcp", "name": "nwiizo/tfmcp", "vendor": "Various", "tagline": "🌍 Terraform Model Context Protocol (MCP) Tool - An experimental CLI tool that enables AI assistants to manage and operate Terraform environments. Supports reading Terraform config", "description": "nwiizo/tfmcp is an experimental CLI tool written in Rust that bridges AI assistants with Terraform environments using the Model Context Protocol. It allows AI assistants to read Terraform configurations, analyze plans, apply configurations, and manage state, with direct integration for Claude Desktop.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and DevOps engineers who want to manage Terraform infrastructure through conversational AI assistants like Claude Desktop.", "useCases": [ "Let an AI assistant review and explain Terraform plan outputs before applying", "Automate Terraform state management tasks through natural language commands", "Enable Claude Desktop to read and apply Terraform configurations interactively" ], "pros": [ "Direct integration with Claude Desktop for conversational infrastructure management", "Written in Rust for performance and reliability", "Covers core Terraform workflows: read, plan, apply, and state management" ], "cons": [ "Experimental status may lead to instability or breaking changes", "Limited to Terraform environments, not a general infrastructure tool", "Requires users to trust AI assistants with infrastructure operations" ], "tags": [ "mcp", "mcp-server", "terraform" ], "featured": false, "tier": "curated", "stars": 365, "language": [ "Rust" ], "license": "MIT", "lastUpdated": "2026-03-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/nwiizo/tfmcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/nwiizo-tfmcp" }, { "slug": "nvms-tui-mcp", "name": "nvms/tui-mcp", "vendor": "Various", "tagline": "nvms/tui-mcp — indexed from awesome-mcp-servers-punkpeye", "description": "A Model Context Protocol server that enables terminal user interface interactions. It allows AI models to interact with text-based terminal applications via the MCP standard.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-driven terminal automation tools", "useCases": [ "Enabling AI to navigate terminal interfaces", "Automating TUI-based workflows", "Integrating terminal tools with MCP-compatible clients" ], "pros": [ "Lightweight JavaScript implementation", "Leverages standard MCP protocol", "Facilitates terminal automation" ], "cons": [ "Limited documentation or community adoption due to low stars", "Narrow focus on TUI interactions", "Requires compatible MCP client" ], "tags": [], "featured": false, "tier": "curated", "stars": 5, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/nvms/tui-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "wonderwhy-er-desktopcommandermcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/nvms-tui-mcp" }, { "slug": "nyrok-flompt", "name": "Nyrok/flompt", "vendor": "Various", "tagline": "flow + prompt = flompt - Visual AI Prompt Builder. Decompose, edit as flowchart, recompile into optimized machine-readable prompts", "description": "Nyrok/flompt is a visual prompt builder that lets you decompose a prompt into a flowchart, edit it visually, and recompile it into an optimized machine-readable prompt. It is written in TypeScript and runs as a developer tool.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to visually design and refine complex prompts for machine learning models.", "useCases": [ "Decompose complex prompts into editable flowchart nodes", "Visually iterate on prompt structure and logic", "Recompile edited flowcharts into optimized prompt strings" ], "pros": [ "Visual editing makes prompt structure clear and easy to modify", "Open source with 114 GitHub stars and active TypeScript codebase", "Reduces manual prompt string manipulation errors" ], "cons": [ "Requires familiarity with flowchart-based editing", "Limited to prompt optimization, not a general AI tool", "Small community and fewer integrations than established tools" ], "tags": [ "ai", "ai-tools", "browser", "chatbot", "chatgpt", "claude", "claude-code", "claude-code-plugins" ], "featured": false, "tier": "curated", "stars": 114, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/Nyrok/flompt", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "gpt-prompt-engineer" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/nyrok-flompt" }, { "slug": "nyxn-ai-nyxdocs", "name": "nyxn-ai/NyxDocs", "vendor": "Various", "tagline": "Cryptocurrency Documentation MCP Server - AI-powered documentation collection and management system for blockchain projects", "description": "NyxDocs is an MCP server that collects and manages cryptocurrency project documentation. It uses AI to organize and retrieve documentation for blockchain projects. The tool is written in Python and is available as open source.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Blockchain developers and crypto project maintainers needing a centralized, searchable documentation system", "useCases": [ "Centralizing scattered documentation from multiple blockchain sources", "Providing an AI-assisted lookup for crypto documentation", "Integrating documentation retrieval into development workflows" ], "pros": [ "Open source and Python-based, easy to extend", "Specialized for cryptocurrency documentation needs", "Uses MCP protocol for flexible integration" ], "cons": [ "Limited to cryptocurrency and blockchain context", "Low star count suggests early stage or niche adoption", "Requires setup and may lack broad documentation coverage" ], "tags": [], "featured": false, "tier": "curated", "stars": 4, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-06-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/nyxn-ai/NyxDocs", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "topoteretes-cognee", "vectorize-io-hindsight" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/nyxn-ai-nyxdocs" }, { "slug": "nyxtoolsdev-dicom-hl7-mcp-server", "name": "NyxToolsDev/dicom-hl7-mcp-server", "vendor": "Various", "tagline": "DICOM/HL7 healthcare interoperability MCP server for Claude", "description": "This is an MCP server that enables Claude to interact with DICOM and HL7 healthcare data. It provides tools for querying, retrieving, and manipulating medical imaging and health information exchange standards through a Python-based server.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building healthcare AI assistants that need to access DICOM and HL7 data", "useCases": [ "Query DICOM medical imaging archives from Claude", "Retrieve and process HL7 health data messages", "Integrate healthcare interoperability workflows with AI assistants" ], "pros": [ "Enables direct healthcare data access from Claude", "Supports both DICOM and HL7 standards", "Open source Python implementation" ], "cons": [ "Very low community adoption (3 stars)", "Limited documentation and support", "Requires healthcare infrastructure to be useful" ], "tags": [ "claude", "dicom", "fhir", "healthcare", "hl7", "mcp", "model-context-protocol", "pacs" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/NyxToolsDev/dicom-hl7-mcp-server", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/nyxtoolsdev-dicom-hl7-mcp-server" }, { "slug": "obsidian", "name": "Obsidian MCP Server (MarkusMcNugen)", "vendor": "MarkusMcNugen (community)", "tagline": "Expose an Obsidian vault as MCP resources and tools — read, write, search notes, and manage tags and links from any MCP-compatible agent.", "description": "Obsidian MCP Server by MarkusMcNugen connects MCP-compatible agents directly to a local Obsidian vault, exposing the vault's notes as readable and writable MCP resources alongside a rich set of tools for searching, tagging, and navigating internal links. Agents can read individual notes or entire folders as context, create and update markdown files, perform full-text and tag-based searches across the vault, and inspect or modify wikilink graphs — turning a personal knowledge base (PKM) into live, structured memory for any agent session. The server communicates over stdio transport and integrates with the Obsidian Local REST API plugin, keeping all data local with no cloud dependency. It works best with Claude Desktop, Claude Code, and Cursor, and pairs naturally with filesystem or memory MCP servers to extend an agent's context management capabilities.", "category": "productivity", "pricingTier": "free", "deployEffort": "low", "bestFor": "Knowledge workers, researchers, and builders who use Obsidian as their primary PKM and want agents to read, write, search, and navigate the vault as structured memory", "useCases": [ "Pull relevant notes and prior research into an agent session before drafting a document", "Create and file structured meeting notes or research summaries directly from an agent", "Search the vault by tag or keyword to surface prior decisions before starting a new project", "Traverse wikilinks and backlinks to map related concepts during research workflows", "Sync agent-generated content back into the knowledge base with correct tags and links" ], "pros": [ "Full read and write access to vault notes as MCP resources and tools", "Tag-based and full-text search surfaces relevant notes without manual context loading", "Wikilink and backlink navigation enables graph-aware agent workflows", "Fully local — no data leaves the machine, no cloud account required", "Works with any MCP-compatible host including Claude Desktop, Claude Code, and Cursor" ], "cons": [ "Requires the Obsidian Local REST API plugin to be installed and running", "Community-maintained — not an official Obsidian product and update cadence varies", "Large vaults can overwhelm context windows without careful note scoping", "Stdio-only transport; not suitable for remote or multi-user agent deployments" ], "tags": [ "notes", "knowledge-base", "markdown", "pkm", "obsidian", "mcp", "local", "productivity", "search" ], "featured": false, "tier": "curated", "language": [], "addedAt": "2025-01-28", "officialLink": "https://github.com/MarkusMcNugen/mcp-obsidian", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "cursor", "cline", "continue" ], "alternative_to": [ "mcp-obsidian" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/obsidian" }, { "slug": "octagonai-octagon-mcp-server", "name": "OctagonAI/octagon-mcp-server", "vendor": "Various", "tagline": "A free MCP server to analyze and extract insights from public filings, earnings transcripts, financial metrics, stock market data, private market transactions, and deep web-based r", "description": "OctagonAI/octagon-mcp-server is a free, open-source MCP server that provides financial data and analysis capabilities to Claude Desktop and other MCP clients. It extracts information from public filings, earnings transcripts, financial metrics, stock market data, private market transactions, and deep web research.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building financial analysis workflows inside MCP-compatible assistants", "useCases": [ "Analyze earnings transcripts and financial filings within Claude Desktop", "Retrieve stock market data and private market transaction details", "Perform deep web-based financial research through MCP clients" ], "pros": [ "Free and open source with TypeScript codebase", "Integrates directly with Claude Desktop and other MCP clients", "Provides access to a broad range of financial and market data" ], "cons": [ "Requires an MCP compatible client to use", "Setup may involve configuring MCP server settings", "Data sources might require separate API keys or subscriptions (not specified)" ], "tags": [ "ai-agents", "company-profile", "debt", "earnings-calls", "equities", "financial-analysis", "fundamental-analysis", "funding" ], "featured": false, "tier": "curated", "stars": 129, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/OctagonAI/octagon-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "antv-mcp-server-chart", "mckinsey-vizro-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/octagonai-octagon-mcp-server" }, { "slug": "octoco-ltd-sheetsdata-mcp", "name": "octoco-ltd/sheetsdata-mcp", "vendor": "Various", "tagline": "sheetsdata-mcp", "description": "An MCP server that provides structured access to spreadsheet data through the Model Context Protocol, allowing AI tools to query and retrieve tabular information. Built in JavaScript, it enables seamless integration of spreadsheet content into AI agent workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to reference live spreadsheet data during conversations", "useCases": [ "Querying spreadsheet data from within an AI assistant", "Automating data retrieval from sheets for AI-powered workflows", "Integrating spreadsheet content as context for model prompts" ], "pros": [ "Lightweight JavaScript implementation easy to deploy", "Standard MCP interface ensures compatibility with multiple AI clients", "Direct read access to spreadsheet data without manual exports" ], "cons": [ "Small community and limited support due to low GitHub stars", "Currently only available in JavaScript/Node.js ecosystem", "Likely limited to read operations only" ], "tags": [], "featured": false, "tier": "curated", "stars": 6, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/octoco-ltd/sheetsdata-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "haris-musa-excel-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/octoco-ltd-sheetsdata-mcp" }, { "slug": "octodamus-octodamus-core", "name": "Octodamus/octodamus-core", "vendor": "Various", "tagline": "Octodamus/octodamus-core — indexed from awesome-mcp-servers-punkpeye", "description": "Octodamus/octodamus-core is a Python library that provides a core framework for building and managing MCP (Model Context Protocol) servers. It offers reusable components and abstractions to simplify the development of custom MCP server implementations.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with MCP server implementations in Python", "useCases": [ "Building custom MCP servers for AI tool integration", "Creating modular server components with Python", "Prototyping new MCP-based services quickly" ], "pros": [ "Lightweight Python library with minimal dependencies", "Provides reusable abstractions for MCP server development", "Open source with permissive license" ], "cons": [ "Zero stars and no community traction yet", "Limited documentation and examples available", "Unproven in production environments" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/Octodamus/octodamus-core", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "fastmcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/octodamus-octodamus-core" }, { "slug": "octoeverywhere-mcp", "name": "OctoEverywhere/mcp", "vendor": "Various", "tagline": "A free 3D Printing MCP server that allows for getting live printer state, webcam snapshots, and printer control.", "description": "OctoEverywhere/mcp is a free MCP server for 3D printing. It provides live printer state, webcam snapshots, and printer control via the Model Context Protocol. The server is open source and hosted on GitHub.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based monitoring or control interfaces for 3D printers", "useCases": [ "Monitor printer status and progress in real time", "Capture and view webcam snapshots of the print bed", "Send control commands to pause, resume, or cancel prints" ], "pros": [ "Free and open source with no licensing costs", "Integrates with MCP-compatible tools and workflows", "Provides direct access to live printer data and camera feeds" ], "cons": [ "Small community (33 stars) may mean limited support and documentation", "Requires self-hosting and configuration of the MCP server", "Only supports 3D printing use cases, not general automation" ], "tags": [ "3d-printing", "agent", "agentic-ai", "ai", "control", "mcp", "webcam-capture" ], "featured": false, "tier": "curated", "stars": 33, "language": [], "license": "Apache-2.0", "lastUpdated": "2025-07-03", "addedAt": "2026-06-01", "officialLink": "https://github.com/OctoEverywhere/mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/octoeverywhere-mcp" }, { "slug": "oerc-s-primordia", "name": "oerc-s/primordia", "vendor": "Various", "tagline": "AI Agent Economic Settlement Infrastructure - Machine-to-Machine Clearing", "description": "An open-source TypeScript library providing infrastructure for machine-to-machine clearing and economic settlement between AI agents. It defines protocols and mechanisms for agents to transact and settle payments autonomously.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building decentralized multi-agent systems that need automated settlement and clearing between autonomous agents.", "useCases": [ "Building autonomous agent economies with built-in settlement", "Implementing agent-to-agent payment and clearing systems", "Creating multi-agent frameworks that require financial reconciliation" ], "pros": [ "Addresses a specific, emerging need for agent economic infrastructure", "Open-source and written in TypeScript for broad compatibility", "Lightweight and focuses purely on machine-to-machine clearing" ], "cons": [ "Early-stage project with no stars and likely limited community adoption", "May lack production hardening, documentation, or real-world testing", "Unclear integration path with existing agent frameworks or blockchains" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "lastUpdated": "2026-01-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/oerc-s/primordia", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "autogen" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/oerc-s-primordia" }, { "slug": "octomind-dev-octomind-mcp", "name": "OctoMind-dev/octomind-mcp", "vendor": "Various", "tagline": "An MCP server for octomind tools, resources and prompts", "description": "OctoMind-dev/octomind-mcp is an MCP server that exposes OctoMind tools, resources, and prompts through the Model Context Protocol. It allows MCP-compatible clients to interact with OctoMind's capabilities using TypeScript. The project has 22 stars on GitHub.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to integrate OctoMind into MCP-based agent workflows", "useCases": [ "Connecting OctoMind tools to MCP-compatible AI agents", "Exposing OctoMind resources and prompts via a standardized protocol", "Building custom integrations that leverage OctoMind's functionality through MCP" ], "pros": [ "Open source and written in TypeScript for type safety", "Follows the MCP standard for interoperability", "Lightweight server with a focused scope" ], "cons": [ "Low star count indicates early stage and limited adoption", "Vendor listed as 'Various' suggests unclear long-term maintenance", "Requires familiarity with both OctoMind and MCP to use effectively" ], "tags": [], "featured": false, "tier": "curated", "stars": 22, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-02-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/OctoMind-dev/octomind-mcp", "relations": { "works_in": [ "cursor", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/octomind-dev-octomind-mcp" }, { "slug": "ofershap-cursor-usage", "name": "ofershap/cursor-usage", "vendor": "Various", "tagline": "Ask your AI agent about your team's Cursor spending. MCP server + Cursor plugin + Claude Code plugin wrapping the full Cursor Enterprise API.", "description": "This tool provides an MCP server and plugins for Cursor and Claude Code that wrap the full Cursor Enterprise API. It enables AI agents to query and report on team Cursor usage and spending. The server exposes endpoints for retrieving usage data, which can be integrated into agent workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Teams using Cursor Enterprise that want to automate spending oversight through AI agents", "useCases": [ "Monitor team Cursor usage and subscription costs", "Integrate spending data into AI agent queries via MCP", "Automate reporting of Cursor Enterprise usage metrics" ], "pros": [ "Open source and extensible with standard MCP protocol", "Works seamlessly with Cursor and Claude Code agents", "Provides direct access to the Cursor Enterprise API for spending data" ], "cons": [ "Requires a Cursor Enterprise account to function", "Limited to usage and spending queries; no other API features exposed", "Small community and minimal documentation (3 stars on GitHub)" ], "tags": [ "ai-spending", "cursor", "cursor-ai", "cursor-enterprise", "cursor-ide", "cursor-plugin", "mcp", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-02-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/ofershap/cursor-usage", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ofershap-cursor-usage" }, { "slug": "ofershap-mcp-server-cloudflare", "name": "ofershap/mcp-server-cloudflare", "vendor": "Various", "tagline": "MCP server to manage Cloudflare Workers, KV, R2, DNS, and cache from your IDE", "description": "An MCP server that lets you manage Cloudflare Workers, KV, R2, DNS, and cache directly from your IDE. It uses the Model Context Protocol to expose Cloudflare API operations to AI assistants and development tools. Built in TypeScript, it is a lightweight open-source integration.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Cloudflare who want to manage resources from an AI-assisted IDE", "useCases": [ "Deploy and update Cloudflare Workers without leaving the editor", "Read and write KV namespace entries and R2 objects", "Flush cache and modify DNS records programmatically" ], "pros": [ "Open source and follows the standard MCP protocol", "Directly integrates with Cloudflare's API for real-time management", "Lightweight TypeScript implementation with minimal dependencies" ], "cons": [ "Low star count (3) suggests early stage or limited community adoption", "Requires Cloudflare API credentials and proper permissions setup", "Documentation and examples may be sparse due to low maturity" ], "tags": [ "cloudflare", "dns", "kv", "mcp", "mcp-server", "model-context-protocol", "r2", "typescript" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/ofershap/mcp-server-cloudflare", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "executeautomation-playwright-mcp-server" ], "alternative_to": [ "awslabs-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ofershap-mcp-server-cloudflare" }, { "slug": "ofershap-mcp-server-github-actions", "name": "ofershap/mcp-server-github-actions", "vendor": "Various", "tagline": "MCP server for GitHub Actions — view runs, read logs, re-run jobs, trigger workflows", "description": "This tool is a server that implements the Model Context Protocol to interface with GitHub Actions. It allows viewing workflow runs, reading logs, re-running jobs, and triggering workflows. Built in TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers wanting to integrate GitHub Actions monitoring and control into MCP-capable tools", "useCases": [ "Viewing workflow run status and logs", "Re-running failed jobs from a command-line tool", "Triggering workflows from external applications" ], "pros": [ "Provides direct access to GitHub Actions via a standard protocol", "Simple interface for common CI/CD operations", "TypeScript codebase for easy contribution and extension" ], "cons": [ "Limited community adoption (3 stars) may indicate immaturity or minimal testing", "Dependent on the MCP ecosystem being stable and supported", "Lacks advanced features like workflow creation or complex debugging out of the box" ], "tags": [ "ai", "ci-cd", "claude", "cursor", "github-actions", "llm", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/ofershap/mcp-server-github-actions", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ofershap-mcp-server-github-actions" }, { "slug": "ofershap-mcp-server-s3", "name": "ofershap/mcp-server-s3", "vendor": "Various", "tagline": "MCP server for AWS S3 — list buckets, browse objects, upload/download, presigned URLs", "description": "MCP server for AWS S3. It lists buckets, browses objects, uploads and downloads files, and generates presigned URLs. Implemented in TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers integrating S3 file operations into MCP-enabled tools", "useCases": [ "List and browse S3 buckets and objects from an MCP client", "Upload files to S3 and download objects programmatically", "Generate presigned URLs for temporary access to S3 objects" ], "pros": [ "Lightweight TypeScript implementation", "Supports common S3 operations like list, upload, download, and presigned URLs", "Follows the Model Context Protocol for easy integration" ], "cons": [ "Very early project with only 1 star, likely minimal testing", "Limited to basic operations, no advanced features like bucket policies or lifecycle management", "Requires AWS credentials configuration" ], "tags": [ "ai", "aws", "claude", "cloud", "cursor", "llm", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/ofershap/mcp-server-s3", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "awslabs-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ofershap-mcp-server-s3" }, { "slug": "ofershap-real-browser-mcp", "name": "ofershap/real-browser-mcp", "vendor": "Various", "tagline": "MCP server + Chrome extension that gives AI agents control of your real browser with existing sessions and logins", "description": "An MCP server paired with a Chrome extension that enables AI agents to control a real browser using existing sessions and logins. It allows agents to interact with web pages as if they were a human user, leveraging authenticated states without re-logging in.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing AI agents to automate tasks in authenticated web sessions", "useCases": [ "Automating web workflows that require existing login sessions", "Testing web applications with real browser state and cookies", "Scraping data from sites that block headless browsers" ], "pros": [ "Leverages existing browser sessions and logins for seamless automation", "Open source and written in JavaScript, easy to inspect and modify", "Provides direct control of a real browser instance, avoiding detection" ], "cons": [ "Low community adoption (27 stars) suggests limited maturity or support", "Requires Chrome browser and manual extension installation", "Potential security risks from granting AI agents full browser control" ], "tags": [ "ai", "browser-automation", "chrome-extension", "claude", "cursor", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 27, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/ofershap/real-browser-mcp", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "agent-infra-mcp-server-browser", "browsermcp-mcp", "executeautomation-playwright-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ofershap-real-browser-mcp" }, { "slug": "offorte-offorte-mcp-server", "name": "offorte/offorte-mcp-server", "vendor": "Various", "tagline": "MCP server for the Offorte API - Create & send proposals using AI", "description": "This is an MCP server that wraps the Offorte API. It allows AI assistants and MCP-compatible clients to create and send proposals programmatically. The server is written in TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to connect AI assistants to Offorte for automated proposal creation and sending", "useCases": [ "Generate proposals from AI chat interfaces", "Automate proposal sending through MCP tools", "Integrate Offorte proposal creation into agent workflows" ], "pros": [ "Simple integration via the Model Context Protocol", "Written in TypeScript for type safety and readability", "Direct access to Offorte's proposal generation features" ], "cons": [ "Very low GitHub stars indicate early stage or limited adoption", "Dependent on the Offorte API and its availability", "May lack advanced customization options beyond API defaults" ], "tags": [], "featured": false, "tier": "curated", "stars": 4, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/offorte/offorte-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/offorte-offorte-mcp-server" }, { "slug": "ofodevelopment-cerebrochain-mcp-server", "name": "OFODevelopment/cerebrochain-mcp-server", "vendor": "Various", "tagline": "The first logistics/WMS MCP server for AI agents. Rate shopping, inventory, orders, fleet tracking, AI forecasting. 13+ tools, free tier + x402 paid tier.", "description": "OFODevelopment/cerebrochain-mcp-server is a logistics and warehouse management MCP server for AI agents. It provides over 13 tools for rate shopping, inventory, orders, fleet tracking, and AI forecasting. The server offers a free tier and a paid tier (x402).", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents for logistics and warehouse management", "useCases": [ "Integrating logistics data into AI agents", "Automating inventory and order management", "Enabling fleet tracking and rate shopping" ], "pros": [ "Comprehensive set of logistics tools in one MCP server", "Free tier available for testing and development", "Built as an MCP server for straightforward AI agent integration" ], "cons": [ "No GitHub stars indicates limited community adoption", "Paid tier required for full feature access", "Documentation and support may be minimal" ], "tags": [ "ai-agent", "cerebrochain", "claude", "logistics", "mcp", "model-context-protocol", "supply-chain", "warehouse-management" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/OFODevelopment/cerebrochain-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ofodevelopment-cerebrochain-mcp-server" }, { "slug": "ohnlp-omop-mcp", "name": "OHNLP/omop_mcp", "vendor": "Various", "tagline": "Model Context Protocol (MCP) server for mapping clinical terminology to Observational Medical Outcomes Partnership (OMOP) concepts using Large Language Models", "description": "OHNLP/omop_mcp is a Model Context Protocol server that maps clinical terminology to Observational Medical Outcomes Partnership (OMOP) concepts using large language models. It provides a standardized interface for tools to query an LLM for concept mapping.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers integrating clinical terminology mapping into healthcare software using large language models", "useCases": [ "Integrating clinical NLP into healthcare applications", "Mapping free-text clinical notes to standardized OMOP codes", "Building a decision support tool that uses OMOP concept mapping" ], "pros": [ "Uses a standardized protocol (MCP) for tool integration", "Leverages LLMs for flexible mapping of varied clinical terms", "Open source and written in Python, easy to extend" ], "cons": [ "Requires running an LLM, which may be computationally expensive", "Mapping accuracy depends on the quality and training of the LLM", "Small community (35 stars) means limited support and documentation" ], "tags": [ "ai-agents", "healthcare", "mcp-server", "ohdsi", "omop-cdm" ], "featured": false, "tier": "curated", "stars": 35, "language": [ "Python" ], "lastUpdated": "2026-05-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/OHNLP/omop_mcp", "relations": { "works_in": [ "cline", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ohnlp-omop-mcp" }, { "slug": "olalonde-mcp-human", "name": "olalonde/mcp-human", "vendor": "Various", "tagline": "Human Assistance for AI Assistants", "description": "A Model Context Protocol server that enables AI assistants to request human input during tasks. It provides tools for the AI to ask questions, get approvals, or receive guidance from a human operator. Built in JavaScript, it integrates with MCP-compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building responsible AI agents that need supervised decision-making", "useCases": [ "Adding human verification steps to automated workflows", "Allowing AI agents to request clarification on ambiguous requests", "Implementing human-in-the-loop for sensitive actions in AI deployments" ], "pros": [ "Simple integration with MCP ecosystems", "Enables safe delegation by adding human oversight", "Lightweight JavaScript implementation" ], "cons": [ "Requires human availability, limiting full automation", "Small community and limited documentation (24 stars)", "Potential latency from human response time" ], "tags": [ "aws", "aws-mturk", "llm", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 24, "language": [ "JavaScript" ], "lastUpdated": "2025-05-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/olalonde/mcp-human", "relations": { "works_in": [ "cursor", "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/olalonde-mcp-human" }, { "slug": "olgasafonova-gleif-mcp-server", "name": "olgasafonova/gleif-mcp-server", "vendor": "Various", "tagline": "MCP server for GLEIF LEI (Legal Entity Identifier) database access", "description": "An MCP server that provides access to the GLEIF Legal Entity Identifier database. It allows AI agents and tools to query LEI records using the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building compliance or financial tools that need programmatic access to legal entity identifiers", "useCases": [ "Look up legal entity identifiers for compliance checks", "Retrieve entity details for KYC or due diligence workflows", "Integrate LEI data into automated reporting or analysis pipelines" ], "pros": [ "Direct access to authoritative GLEIF data via a standardized protocol", "Lightweight Go implementation with minimal dependencies", "Simple setup for developers already using MCP-based tools" ], "cons": [ "Limited to LEI data only, not a general entity database", "Requires an MCP-compatible client or framework to use", "Small community and limited documentation beyond the repo" ], "tags": [ "anthropic", "claude", "gleif", "go", "golang", "legal-entity-identifier", "lei", "mcp" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/olgasafonova/gleif-mcp-server", "relations": { "works_in": [ "cline", "continue", "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/olgasafonova-gleif-mcp-server" }, { "slug": "olgasafonova-productplan-mcp-server", "name": "olgasafonova/productplan-mcp-server", "vendor": "Various", "tagline": "MCP server for ProductPlan - enables AI assistants to interact with roadmaps, OKRs, and discovery features", "description": "A Model Context Protocol server written in Go. It enables AI assistants to interact with ProductPlan roadmaps, OKRs, and discovery features through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need to access ProductPlan data", "useCases": [ "Query roadmapping data from ProductPlan", "Update OKRs via AI assistant prompts", "Integrate discovery insights into automated workflows" ], "pros": [ "Lightweight single binary deployment in Go", "Standard MCP protocol for interoperable AI tools", "Small, focused codebase for a specific integration" ], "cons": [ "Low community adoption with only 2 GitHub stars", "No documented release or versioning", "Likely limited error handling for edge cases" ], "tags": [ "anthropic", "claude", "go", "golang", "mcp", "mcp-server", "model-context-protocol", "okr" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-05-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/olgasafonova/productplan-mcp-server", "relations": { "works_in": [ "claude-code", "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/olgasafonova-productplan-mcp-server" }, { "slug": "olostep-olostep-mcp-server", "name": "olostep/olostep-mcp-server", "vendor": "Various", "tagline": "MCP server for Olostep — the web scraping, crawling, and search infrastructure used by top AI companies. Gives any MCP-compatible AI agent the ability to scrape, crawl, batch-extra", "description": "An MCP server that wraps Olostep's web scraping, crawling, batch extraction, and search infrastructure. It exposes these capabilities as tools for any MCP-compatible AI agent, enabling real-time web data access. The server is implemented in TypeScript and communicates via the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-compatible AI agents that need real-time web scraping and search capabilities", "useCases": [ "Scrape web pages for data extraction from an AI agent", "Crawl websites to collect structured content at scale", "Search the web in real time to retrieve current information" ], "pros": [ "Provides a unified MCP interface for multiple web data operations", "Enables real-time web access without custom scraping code", "Supports batch extraction for large-scale data collection tasks" ], "cons": [ "Low community adoption (19 stars) may indicate limited testing or support", "Requires an Olostep API key and may incur usage costs", "Only works with MCP-compatible agents, limiting interoperability" ], "tags": [ "ai", "ai-agent", "data-collection", "llm-tools", "mcp", "mcp-scraper", "mcp-search", "mcp-server" ], "featured": false, "tier": "curated", "stars": 19, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/olostep/olostep-mcp-server", "relations": { "works_in": [ "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "exa-labs-exa-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/olostep-olostep-mcp-server" }, { "slug": "omega-memory-omega-memory", "name": "omega-memory/omega-memory", "vendor": "Various", "tagline": "Persistent memory for AI coding agents", "description": "Omega Memory provides persistent memory for AI coding agents using Python. It allows agents to store and retrieve context across sessions, enabling long-term awareness of projects and tasks.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building custom AI coding agents that need persistent context", "useCases": [ "Maintain agent memory across multiple code sessions", "Store project-specific context for consistent coding assistance", "Enable agents to recall past decisions and code patterns" ], "pros": [ "Open source with a permissive license", "Lightweight Python implementation easy to integrate", "Designed specifically for coding agent workflows" ], "cons": [ "Small user community and limited third-party integrations", "Documentation and examples may be sparse", "Requires Python environment and manual setup" ], "tags": [ "ai-agent", "ai-memory", "claude", "claude-code", "coding-agent", "context-engineering", "cursor", "knowledge-graph" ], "featured": false, "tier": "curated", "stars": 148, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-05-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/omega-memory/omega-memory", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "aider", "cline", "claude-code" ], "alternative_to": [ "topoteretes-cognee", "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/omega-memory-omega-memory" }, { "slug": "omni-fun-mcp-server", "name": "omni-fun-mcp-server", "vendor": "Various", "tagline": "MCP server for omni.fun — multichain memecoin launchpad. 8 tools for AI agents: trending tokens, search, quotes, bonding curves, trade simulation, chain info.", "description": "MCP server that exposes 8 tools for AI agents to interact with the omni.fun multichain memecoin launchpad. Agents can fetch trending tokens, search for tokens, get quotes and bonding curve data, simulate trades, and retrieve chain information.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to interact with memecoin launchpads", "useCases": [ "Fetch trending memecoins across chains", "Search for specific tokens by name or address", "Simulate trades before execution on launchpad" ], "pros": [ "Standardized MCP protocol for seamless integration with AI agents", "Includes simulation tool to test trades without risking funds", "Lightweight JavaScript implementation easy to deploy" ], "cons": [ "Limited to the omni.fun ecosystem only, not general-purpose", "No built-in authentication or rate limiting for production use", "Zero community adoption on GitHub" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "lastUpdated": "2026-03-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/0xzcov/omni-fun-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/omni-fun-mcp-server" }, { "slug": "oluwatunmise-olat-mcp-server-logs-sieve", "name": "Oluwatunmise-olat/mcp-server-logs-sieve", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server that enables AI assistants to efficiently filter and analyze Cloud Platform logs by specific prefixes and patterns.", "description": "A Model Context Protocol (MCP) server that lets AI assistants filter and analyze Cloud Platform logs by prefix and pattern. It runs as a local server and exposes log filtering capabilities through the MCP interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to query cloud logs from an AI assistant using the Model Context Protocol", "useCases": [ "Filter cloud logs by specific prefixes to narrow down relevant entries", "Analyze log patterns programmatically via an AI assistant", "Integrate log analysis into MCP-compatible development workflows" ], "pros": [ "Provides structured log filtering through a standard protocol", "Written in TypeScript for type safety and maintainability", "Lightweight with a focused feature set" ], "cons": [ "Very early stage with only 2 GitHub stars and limited community adoption", "Requires running a separate MCP server alongside your AI tool", "Documentation and usage examples are minimal" ], "tags": [ "aws-cloudwatch", "azure", "azuremonitor", "cloud-providers", "datadog", "elasticsearch", "gcp", "grafana-loki" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/Oluwatunmise-olat/mcp-server-logs-sieve", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/oluwatunmise-olat-mcp-server-logs-sieve" }, { "slug": "omni-mcp-isaac-sim-mcp", "name": "omni-mcp/isaac-sim-mcp", "vendor": "Various", "tagline": "Isaac Simulation MCP Extension and Server", "description": "An MCP server and extension that connects large language models and AI agents to NVIDIA Isaac Sim for robotics simulation. It enables agentic control of simulation scenes, robot behaviors, and data generation through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Robotics developers and researchers who want to script or control Isaac Sim through AI agents and language models.", "useCases": [ "Controlling simulation environments programmatically via natural language or agentic AI", "Generating synthetic training data for robot perception and manipulation tasks", "Testing and iterating on robot control policies in a physics-accurate simulator" ], "pros": [ "Open source with Python SDK for easy customization", "Leverages industry-standard MCP for interoperability with AI agents", "Directly integrates with a leading robotics simulator" ], "cons": [ "Requires NVIDIA Isaac Sim (proprietary, GPU-intensive) to be installed separately", "Small community and limited documentation (173 stars)", "Scope is narrow: only relevant to robotics simulation workflows" ], "tags": [], "featured": false, "tier": "curated", "stars": 173, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-04-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/omni-mcp/isaac-sim-mcp", "relations": { "works_in": [ "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/omni-mcp-isaac-sim-mcp" }, { "slug": "omniologynow-rgb-profitspot-mcp", "name": "omniologynow-rgb/profitspot-mcp", "vendor": "Various", "tagline": "The DeFi Brain for AI agents — give Claude the power to grade 6,500 liquidity pools across 86 chains. Risk scoring, Monte Carlo sims, impermanent loss, whale tracking. pip install", "description": "A Python package that lets AI agents analyze over 6,500 liquidity pools across 86 blockchains. It provides risk scoring, Monte Carlo simulations, impermanent loss calculations, and whale tracking through a Model Context Protocol interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need on-chain DeFi risk analysis across multiple blockchains", "useCases": [ "Evaluating liquidity pool risk before providing liquidity", "Simulating potential returns and impermanent loss scenarios", "Monitoring whale movements across multiple chains" ], "pros": [ "Covers a wide range of chains and pools for broad DeFi analysis", "Includes advanced risk tools like Monte Carlo simulations", "Easy to install and integrate with AI agents via pip" ], "cons": [ "Zero stars on GitHub suggests limited community adoption or testing", "Requires understanding of DeFi concepts to interpret results", "No documented examples or usage guides beyond the install command" ], "tags": [ "ai-agent", "blockchain", "claude", "copilot", "cross-chain", "cursor", "decentralized-finance", "defi" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "AGPL-3.0", "lastUpdated": "2026-05-03", "addedAt": "2026-06-01", "officialLink": "https://github.com/omniologynow-rgb/profitspot-mcp", "relations": { "works_in": [ "claude-code", "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/omniologynow-rgb-profitspot-mcp" }, { "slug": "omniologynow-rgb-scout-intel-mcp", "name": "omniologynow-rgb/scout-intel-mcp", "vendor": "Various", "tagline": "The Google for AI agents — give Claude the power to research any company, analyze competitors, and track market trends. 6 tools, 5+ data sources, confidence-scored JSON. pip instal", "description": "Scout Intel MCP is a Python package that gives Claude and other AI agents access to 6 tools for company research, competitor analysis, and market trend tracking. It aggregates data from 5+ sources and returns confidence-scored JSON. Install via pip.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need automated company and market intelligence", "useCases": [ "Research a company's background and recent news", "Analyze competitors in a given market", "Track emerging market trends from multiple data sources" ], "pros": [ "Provides structured, confidence-scored JSON output for easy parsing", "Aggregates data from multiple sources in one tool", "Simple pip install and integration with Claude" ], "cons": [ "No public star count or community adoption metrics available", "Limited to 6 tools and 5+ data sources, may not cover niche needs", "Requires Python environment and MCP-compatible agent setup" ], "tags": [ "ai-agent", "business-intelligence", "claude", "company-research", "competitive-analysis", "copilot", "cursor", "data-extraction" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "AGPL-3.0", "lastUpdated": "2026-05-03", "addedAt": "2026-06-01", "officialLink": "https://github.com/omniologynow-rgb/scout-intel-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/omniologynow-rgb-scout-intel-mcp" }, { "slug": "one8943-ai-furniture-hub", "name": "ONE8943/ai-furniture-hub", "vendor": "Various", "tagline": "MCP server for AI agents: 15 tools, 300+ products, 31 categories. mm-precision furniture search, curated sets, replacement finder with fitscore, AI visibility diagnosis, OpenAPI 3.", "description": "An MCP server that exposes 15 tools for AI agents to search, curate, and replace furniture from a catalog of 300+ products across 31 categories. It supports millimeter-precision dimension queries, a replacement finder with fit scores, and AI visibility diagnosis, all via an OpenAPI 3.1 specification backed by the Rakuten live API for the Japan home and lifestyle market.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents for Japanese home furnishing e‑commerce", "useCases": [ "Searching furniture by exact dimensions with mm precision", "Finding replacement parts or furniture with a fit score", "Integrating an AI agent with Rakuten's Japanese home goods catalog" ], "pros": [ "High precision search down to millimeter level", "300+ products across 31 categories provides a broad catalog", "Uses OpenAPI 3.1 for standard, tool‑friendly integration" ], "cons": [ "Zero GitHub stars indicates very limited community adoption", "Exclusively focused on the Japan market, restricting geographic relevance", "No license or usage details published in the available facts" ], "tags": [ "affiliate", "ai", "ai-agent", "aio", "curated", "e-commerce", "furniture", "home-automation" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/ONE8943/ai-furniture-hub", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/one8943-ai-furniture-hub" }, { "slug": "ooples-mcp-console-automation", "name": "ooples/mcp-console-automation", "vendor": "Various", "tagline": "MCP server for AI-driven console application automation and monitoring", "description": "An MCP server that automates and monitors console applications through the Model Context Protocol. It enables AI agents to start, stop, and interact with command-line processes programmatically. Written in TypeScript, it provides a standardized interface for controlling terminal-based tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to control and observe console applications", "useCases": [ "Automate interactive command-line utilities in agent workflows", "Monitor output and status of long-running console processes", "Integrate legacy terminal applications with AI orchestration systems" ], "pros": [ "Direct MCP protocol support for seamless AI integration", "TypeScript codebase offers type safety and developer familiarity", "Open source repository allows customization and auditing" ], "cons": [ "Small community (36 stars) indicates limited adoption and support", "Documentation is sparse due to early stage of development", "Requires an MCP-compatible client or platform to be useful" ], "tags": [], "featured": false, "tier": "curated", "stars": 36, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/ooples/mcp-console-automation", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "wonderwhy-er-desktopcommandermcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ooples-mcp-console-automation" }, { "slug": "ooples-token-optimizer-mcp", "name": "ooples/token-optimizer-mcp", "vendor": "Various", "tagline": "Intelligent token optimization for Claude Code - achieving 95%+ token reduction through caching, compression, and smart tool intelligence", "description": "This tool reduces token consumption in Claude Code through caching, compression, and smart tool intelligence. It is implemented in TypeScript as an MCP (Model Context Protocol) server and claims up to 95% token reduction. The approach combines local caching of repeated context with compression strategies to minimize usage while preserving essential information.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Claude Code users who want to reduce token usage and costs without losing core functionality", "useCases": [ "Cutting token costs during extended Claude Code sessions", "Keeping context windows manageable when working with large codebases", "Speeding up Claude Code by reusing cached outputs for frequent queries" ], "pros": [ "High claimed token reduction (95%+) can lower costs significantly", "Combines multiple optimization techniques (caching, compression, tool intelligence)", "Open source with a strong community (403 stars on GitHub)" ], "cons": [ "Token reduction may compromise output accuracy or completeness in some scenarios", "Only works with Claude Code through the MCP protocol, not universal", "Requires configuration and may need tuning for different workloads" ], "tags": [ "ai", "caching", "claude", "compression", "llm", "mcp", "mcp-server", "token-optimization" ], "featured": false, "tier": "curated", "stars": 403, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/ooples/token-optimizer-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ooples-token-optimizer-mcp" }, { "slug": "open-agreements-open-agreements", "name": "open-agreements/open-agreements", "vendor": "Various", "tagline": "Fill standard legal agreement templates and produce signable DOCX files.", "description": "Open-agreements is a TypeScript library that fills standard legal agreement templates and produces signable DOCX files. It provides a structured way to generate contracts from predefined forms.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to automate generation of standard legal agreements from templates.", "useCases": [ "Generate NDAs from templates for new partnerships", "Create service agreements with dynamic party details", "Produce signable employment contracts in DOCX format" ], "pros": [ "Simple template filling reduces manual document creation", "Outputs standard DOCX files compatible with signing tools", "Open source with a permissive license" ], "cons": [ "Limited to predefined templates, not a general document generator", "Small community with only 35 stars", "No built-in support for e-signature workflows" ], "tags": [ "anthropic", "claude", "claude-code", "claude-skills", "contract-automation", "docx", "gemini-cli-extension", "legal-tech" ], "featured": false, "tier": "curated", "stars": 35, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/open-agreements/open-agreements", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/open-agreements-open-agreements" }, { "slug": "openbnb-org-mcp-server-airbnb", "name": "openbnb-org/mcp-server-airbnb", "vendor": "Various", "tagline": "Search Airbnb using your AI Agent", "description": "An MCP server that lets AI agents search Airbnb listings. It wraps Airbnb's search API into a tool-calling interface for use with MCP-compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to search Airbnb listings programmatically.", "useCases": [ "Query Airbnb listings by location, dates, and guest count from an AI chat", "Integrate Airbnb search into automated travel planning workflows", "Prototype AI-powered travel assistants that surface rental options" ], "pros": [ "Simple setup as a standard MCP server", "Active community with 462 stars", "Written in JavaScript for broad compatibility" ], "cons": [ "Depends on unofficial Airbnb API which may break without notice", "Limited to search only, no booking or account management", "Requires MCP-compatible client to use" ], "tags": [], "featured": false, "tier": "curated", "stars": 462, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/openbnb-org/mcp-server-airbnb", "relations": { "works_in": [ "cursor", "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [ "rocketride-org-rocketride-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/openbnb-org-mcp-server-airbnb" }, { "slug": "open-strategy-partners-osp-marketing-tools", "name": "open-strategy-partners/osp_marketing_tools", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server that empowers LLMs to use some of Open Srategy Partners' core writing and product marketing techniques.", "description": "This tool is a Model Context Protocol (MCP) server that lets LLMs apply writing and product marketing techniques from Open Strategy Partners. It provides a structured interface for these methods via the MCP protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Marketers and product teams who want to apply OSP methodology through LLMs", "useCases": [ "Generate marketing copy using OSP frameworks", "Apply product messaging techniques via LLM conversations", "Integrate structured marketing methods into MCP-compatible agents" ], "pros": [ "Open source Python implementation with 266 stars", "Encapsulates specific, proven marketing techniques", "Works as a standard MCP server for easy integration" ], "cons": [ "Limited to techniques from Open Strategy Partners only", "Requires an MCP-compatible client or host environment", "Niche audience; not a general-purpose marketing tool" ], "tags": [], "featured": false, "tier": "curated", "stars": 266, "language": [ "Python" ], "license": "CC-BY-SA-4.0", "lastUpdated": "2025-04-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/open-strategy-partners/osp_marketing_tools", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/open-strategy-partners-osp-marketing-tools" }, { "slug": "opendatalab-mineru-ecosystem", "name": "opendatalab/MinerU-Ecosystem", "vendor": "Various", "tagline": "opendatalab/MinerU-Ecosystem — indexed from awesome-mcp-servers-punkpeye", "description": "A collection of MCP (Model Context Protocol) servers for the MinerU ecosystem, enabling AI agents to interact with MinerU functions. The Python project provides modular server implementations that expose MinerU capabilities through a standardized protocol interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need standardized access to MinerU data processing capabilities", "useCases": [ "Exposing MinerU data processing tools as MCP endpoints for AI assistants", "Building custom workflows that chain MinerU functions with other MCP servers", "Integrating MinerU into MCP-compatible clients and agent frameworks" ], "pros": [ "Clean modular design makes it easy to add or modify server components", "Lightweight Python implementation with low overhead", "Plugs into the growing MCP ecosystem for standardized agent tool integration" ], "cons": [ "Relatively early stage with low community adoption and few contributors", "Documentation is limited to the repository; external resources sparse", "Requires familiarity with the MCP protocol to use effectively" ], "tags": [], "featured": false, "tier": "curated", "stars": 105, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-05-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/opendatalab/MinerU-Ecosystem/tree/main/mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "microsoft-markitdown" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/opendatalab-mineru-ecosystem" }, { "slug": "opendatamcp-opendatamcp", "name": "OpenDataMCP/OpenDataMCP", "vendor": "Various", "tagline": "Connect any Open Data to any LLM with Model Context Protocol.", "description": "OpenDataMCP is an open-source Python tool that enables any LLM to access open data via the Model Context Protocol. It acts as a middleware layer, letting developers connect datasets to models without custom integrations.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers seeking a quick MCP-based bridge between open data and language models", "useCases": [ "Integrating open government or scientific datasets into LLM conversations", "Building chatbots that query real-time public data sources", "Prototyping data-driven agents without writing data connectors from scratch" ], "pros": [ "Leverages the Model Context Protocol for standardized data access", "Open source with 153 stars indicating community interest", "Python-based, easy to integrate into existing LLM pipelines" ], "cons": [ "Depends on MCP adoption and compatible LLMs or clients", "Limited documentation beyond the repository README", "May require custom data source configuration for each use case" ], "tags": [ "llm", "mcp", "open-data" ], "featured": false, "tier": "curated", "stars": 153, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2024-12-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/OpenDataMCP/OpenDataMCP", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "pydantic-pydantic-ai-mcp-run-python", "awslabs-mcp", "fastmcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/opendatamcp-opendatamcp" }, { "slug": "openlink-mcp-server-jdbc", "name": "openlink/mcp-server-jdbc", "vendor": "Various", "tagline": "Java based Model Context Procotol (MCP) Server for JDBC", "description": "A Java implementation of a Model Context Protocol (MCP) server that connects to any JDBC-compliant database. It exposes database schemas and allows querying through the MCP interface, enabling AI agents to interact with relational databases.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based AI tools that need JDBC database access", "useCases": [ "Querying databases from AI assistants", "Exposing database schemas to MCP clients", "Integrating JDBC data sources with MCP-based tools" ], "pros": [ "Works with any JDBC-compliant database", "Standard MCP protocol for interoperability", "Java-based, portable across platforms" ], "cons": [ "Low community adoption (12 stars)", "Requires Java runtime environment", "Limited documentation or examples" ], "tags": [], "featured": false, "tier": "curated", "stars": 12, "language": [ "Java" ], "license": "MIT", "lastUpdated": "2025-07-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/OpenLinkSoftware/mcp-jdbc-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "googleapis-genai-toolbox" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/openlink-mcp-server-jdbc" }, { "slug": "openlink-mcp-server-sqlalchemy", "name": "openlink/mcp-server-sqlalchemy", "vendor": "Various", "tagline": "A simple MCP ODBC server using FastAPI, ODBC and SQLAlchemy.", "description": "A simple MCP server that uses FastAPI, ODBC, and SQLAlchemy to expose databases to AI models via the Model Context Protocol. It translates ODBC connections into a standardized interface for MCP-compatible tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a minimal ODBC-to-MCP bridge for AI tool integration", "useCases": [ "Connecting ODBC databases to MCP-enabled AI assistants", "Running SQL queries through a lightweight Python server", "Providing database access for AI agents via a standardized protocol" ], "pros": [ "Simple and quick to set up with FastAPI and SQLAlchemy", "Works with any ODBC-compatible database", "Lightweight Python codebase" ], "cons": [ "Requires ODBC driver installation and configuration", "Small community with limited documentation", "May not handle high concurrency or complex queries well" ], "tags": [], "featured": false, "tier": "curated", "stars": 24, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-05-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/OpenLinkSoftware/mcp-sqlalchemy-server", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/openlink-mcp-server-sqlalchemy" }, { "slug": "openmf-mcp-mifosx-self-service", "name": "openMF/mcp-mifosx-self-service", "vendor": "Various", "tagline": "MCP Server for Mifos X - Self Service", "description": "An MCP server that wraps the Mifos X self-service API, enabling AI agents to interact with financial inclusion data. It exposes tools for reading and managing client accounts, loans, and transactions through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants for microfinance or financial inclusion platforms", "useCases": [ "Query client loan and savings account details via natural language", "Automate routine self-service banking operations in Mifos X", "Integrate AI assistants with microfinance platforms" ], "pros": [ "Low barrier to entry for AI agents using the MCP standard", "Focused on a specific, underserved domain (microfinance)", "Lightweight Python implementation" ], "cons": [ "Very early stage with only 7 GitHub stars and limited community", "Requires a running Mifos X instance and self-service API setup", "Narrow scope may not suit general-purpose banking needs" ], "tags": [], "featured": false, "tier": "curated", "stars": 7, "language": [ "Python" ], "license": "MPL-2.0", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/openMF/mcp-mifosx-self-service", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/openmf-mcp-mifosx-self-service" }, { "slug": "openpulsechain-mcp-server", "name": "@openpulsechain/mcp-server", "vendor": "Various", "tagline": "Open-source PulseChain analytics platform — token prices, safety scoring, smart money tracking, holder leagues, bridge stats. REST API + MCP server for AI agents.", "description": "Open-source analytics platform for PulseChain providing token prices, safety scoring, smart money tracking, holder leagues, and bridge statistics. Exposes both a REST API and an MCP server for integration with AI agents and automated workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or dashboards that require PulseChain on-chain data", "useCases": [ "Retrieve PulseChain token prices and safety scores", "Track smart money movements and holder leagues", "Access bridge statistics via the MCP protocol" ], "pros": [ "Open-source and free to use with no licensing cost", "Offers both REST and MCP interfaces for flexible integration", "Bundles multiple on-chain analytics features into one tool" ], "cons": [ "Very early stage with minimal community adoption (1 star)", "Limited documentation and uncertain maintenance", "Only supports the PulseChain ecosystem" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/openpulsechain/public/tree/main/mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/openpulsechain-mcp-server" }, { "slug": "openmf-mcp-mifosx", "name": "openMF/mcp-mifosx", "vendor": "Various", "tagline": "Model Context Protocol - MCP for Mifos X", "description": "openMF/mcp-mifosx implements the Model Context Protocol (MCP) as a Java server that connects AI agents to the Mifos X microfinance platform. It translates natural language queries from LLMs into Mifos X API calls, allowing conversational access to client data, loans, and transactions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI‑powered assistants for microfinance institutions that use Mifos X", "useCases": [ "Query client balances and loan status via chat interfaces", "Automate loan disbursement or repayment workflows with AI agents", "Integrate Mifos X data into LLM‑based dashboards or assistants" ], "pros": [ "Follows the open MCP standard for broad interoperability with AI frameworks", "Enables natural language access to Mifos X without writing custom integration code", "Open source and community‑driven, transparent for auditing" ], "cons": [ "Low star count suggests limited adoption and community support", "Requires running a separate Java MCP server alongside the existing Mifos X deployment", "Documentation is sparse beyond the repository README" ], "tags": [ "agentic", "agentic-ai", "ai", "backoffice", "banking", "corebanking", "financialinclusion", "fintech" ], "featured": false, "tier": "curated", "stars": 23, "language": [ "Java" ], "license": "MPL-2.0", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/openMF/mcp-mifosx", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/openmf-mcp-mifosx" }, { "slug": "openstack-kr-python-openstackmcp-server", "name": "openstack-kr/python-openstackmcp-server", "vendor": "Various", "tagline": "openstack mcp server", "description": "An MCP server that exposes OpenStack cloud management capabilities through the Model Context Protocol. It enables AI agents and tools to interact with OpenStack services like compute, networking, and storage using standardized MCP interfaces.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to manage OpenStack clouds", "useCases": [ "Managing OpenStack virtual machines and instances", "Automating network configuration and security groups", "Orchestrating storage volumes and snapshots" ], "pros": [ "Provides a standardized MCP interface for OpenStack", "Written in Python, easy to extend and integrate", "Open source with permissive license" ], "cons": [ "Small community and limited documentation", "May not cover all OpenStack services", "Requires running an MCP client to utilize" ], "tags": [ "mcp-server", "openstack" ], "featured": false, "tier": "curated", "stars": 19, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-04-03", "addedAt": "2026-06-01", "officialLink": "https://github.com/openstack-kr/python-openstackmcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/openstack-kr-python-openstackmcp-server" }, { "slug": "opentabs-dev-opentabs", "name": "opentabs-dev/opentabs", "vendor": "Various", "tagline": "Browser automation clicks buttons. OpenTabs calls APIs.", "description": "OpenTabs is a TypeScript library that automates browser interactions by clicking buttons and calling APIs. It provides a programmatic way to control browser tabs and execute actions without manual input.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a simple, scriptable way to automate browser tab actions and API interactions in TypeScript projects.", "useCases": [ "Automating repetitive form submissions and button clicks in web apps", "Testing UI workflows by simulating user interactions across multiple tabs", "Integrating browser automation into CI/CD pipelines for end-to-end testing" ], "pros": [ "Lightweight and focused on core automation tasks without bloat", "Written in TypeScript, offering type safety and easy integration with modern web projects", "Open source with a growing community (629 stars) for support and contributions" ], "cons": [ "Limited to browser tab automation and API calls, not a full browser automation framework like Puppeteer", "May require additional setup for complex scenarios involving multiple browsers or headless modes", "Documentation and examples are sparse, relying on community contributions" ], "tags": [ "ai-agents", "browser-automation", "chrome", "chrome-extension", "claude-code", "mcp", "mcp-server", "open-source" ], "featured": false, "tier": "curated", "stars": 629, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/opentabs-dev/opentabs", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "browsermcp-mcp", "agent-infra-mcp-server-browser", "executeautomation-playwright-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/opentabs-dev-opentabs" }, { "slug": "openzeppelin-contracts-wizard", "name": "OpenZeppelin/contracts-wizard", "vendor": "Various", "tagline": "Interactive smart contract generator based on OpenZeppelin Contracts.", "description": "OpenZeppelin/contracts-wizard is an interactive smart contract generator that uses OpenZeppelin Contracts as its foundation. It provides a web-based interface for configuring and generating Solidity smart contracts with standard features like access control, upgrades, and token standards.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to quickly generate standard, secure smart contracts for Ethereum or EVM-compatible chains", "useCases": [ "Quickly scaffold ERC20, ERC721, or ERC1155 contracts with customizable settings", "Generate contracts with built-in access control and upgradeability options", "Prototype and iterate on contract designs without manual Solidity coding" ], "pros": [ "Reduces boilerplate and errors by generating audited OpenZeppelin-based contracts", "Interactive UI makes contract configuration intuitive for developers of all levels", "Open source and actively maintained by the OpenZeppelin team" ], "cons": [ "Limited to contracts based on OpenZeppelin standards; not for custom logic", "Generated contracts may require manual adjustments for complex use cases", "Dependency on OpenZeppelin libraries can increase contract size and gas costs" ], "tags": [], "featured": false, "tier": "curated", "stars": 292, "language": [ "TypeScript" ], "license": "AGPL-3.0", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/OpenZeppelin/contracts-wizard/tree/master/packages/mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/openzeppelin-contracts-wizard" }, { "slug": "operantlabs-operant-mcp", "name": "operantlabs/operant-mcp", "vendor": "Various", "tagline": "Turn your AI agent into a hacker by plugging in this MCP", "description": "Operant MCP connects AI agents to a penetration testing framework (Metasploit) via the Model Context Protocol. It allows agents to execute reconnaissance and exploitation commands through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Security researchers and red teams building autonomous penetration testing pipelines", "useCases": [ "Automate network scanning and vulnerability assessment", "Execute Metasploit modules for targeted exploitation", "Integrate penetration testing workflows into agentic pipelines" ], "pros": [ "Directly bridges AI agents with industry-standard hacking tools", "Written in TypeScript for type safety and easy integration", "Small, focused codebase with minimal dependencies" ], "cons": [ "Relies on Metasploit being installed and correctly configured on the host", "Limited to Metasploit capabilities without additional plugins", "Requires careful permission management to avoid unintended damage" ], "tags": [ "cybersecurity", "cybersecurity-ai", "cybersecurity-tools", "offensive-security", "pentesting" ], "featured": false, "tier": "curated", "stars": 8, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/operantlabs/operant-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "lauriewired-ghidramcp", "mrexodia-ida-pro-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/operantlabs-operant-mcp" }, { "slug": "operative-sh-web-eval-agent", "name": "operative_sh/web-eval-agent", "vendor": "Various", "tagline": "An MCP server that autonomously evaluates web applications.", "description": "An MCP server that autonomously evaluates web applications. It enables programmatic assessment of web app behavior without manual interaction. The tool is open source and written in Python.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers seeking automated web application evaluation for CI/CD pipelines", "useCases": [ "Automated regression testing of web applications", "Continuous integration quality checks", "Monitoring web app functionality after deployments" ], "pros": [ "Open source with a strong community (1242 stars)", "Autonomous evaluation reduces manual testing effort", "Written in Python, easily integrable into existing workflows" ], "cons": [ "Requires understanding of MCP to set up and extend", "Evaluation scope limited to what MCP interactions can cover", "Not a full-featured testing framework, focuses on autonomous assessment" ], "tags": [ "debugging", "debugging-tool", "mcp", "mcp-server", "modelcontextprotocol", "playwright", "qa", "vibe-coding" ], "featured": false, "tier": "curated", "stars": 1242, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-02-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/Operative-Sh/web-eval-agent", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/operative-sh-web-eval-agent" }, { "slug": "opgginc-opgg-mcp", "name": "opgginc/opgg-mcp", "vendor": "Various", "tagline": "📇 ☁️ - Access real-time gaming data across popular titles like League of Legends, TFT, and Valorant, offering champion analytics, esports schedules, meta compositions, and charact", "description": "An open-source MCP server that provides real-time gaming data for League of Legends, TFT, and Valorant. It exposes champion analytics, esports schedules, and meta compositions via the Model Context Protocol for integration with AI assistants.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers creating AI assistants that need live gaming stats and esports schedules", "useCases": [ "Retrieve upcoming esports match schedules for a specific game", "Query current champion win rates and popular builds", "Fetch recommended team compositions for TFT" ], "pros": [ "Open source with 92 stars and active TypeScript codebase", "Delivers real-time data from multiple popular games", "Standard MCP interface simplifies integration into AI tools" ], "cons": [ "Limited to three games only", "Community-maintained may have variable update frequency", "Requires MCP-compatible client to access data" ], "tags": [], "featured": false, "tier": "curated", "stars": 92, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/opgginc/opgg-mcp", "relations": { "works_in": [ "anthropic-computer-use" ], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "pydantic-pydantic-ai-mcp-run-python" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/opgginc-opgg-mcp" }, { "slug": "opslevel-opslevel-mcp", "name": "opslevel/opslevel-mcp", "vendor": "Various", "tagline": "Model Context Protocol (MCP) server for OpsLevel", "description": "A Go-based Model Context Protocol (MCP) server that exposes OpsLevel's API to AI assistants. It allows querying service catalog data, maturity scores, and ownership information through the MCP standard. Designed for teams that want to incorporate OpsLevel data into AI-powered workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "DevOps and platform engineering teams using OpsLevel who want AI-driven access to their service catalog.", "useCases": [ "Ask an AI assistant for service maturity scores", "Look up service ownership and dependencies via chat", "Integrate OpsLevel catalog data into AI agents" ], "pros": [ "Simple setup for existing OpsLevel users", "Lightweight Go implementation", "Enables natural language queries against service data" ], "cons": [ "Requires self-hosting the MCP server", "Limited to organizations already using OpsLevel", "Small community and few stars, so less battle-tested" ], "tags": [], "featured": false, "tier": "curated", "stars": 10, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-05-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/opslevel/opslevel-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/opslevel-opslevel-mcp" }, { "slug": "optimaquantum-claude-critical-rules-mcp", "name": "optimaquantum/claude-critical-rules-mcp", "vendor": "Various", "tagline": "MCP server for Claude AI providing automatic enforcement of critical rules - Prevents 96 documented failure patterns", "description": "An MCP server that enforces a set of critical rules within Claude AI to prevent 96 documented failure patterns. It works by intercepting Claude's outputs and checking them against predefined rules before allowing the response to proceed.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude AI who need automated guardrails against common failure patterns", "useCases": [ "Preventing common coding errors and logic flaws in AI-generated code", "Enforcing security best practices and compliance rules in Claude outputs", "Automatically validating AI responses against a curated list of failure patterns" ], "pros": [ "Reduces the risk of known failure modes in AI interactions", "Provides a structured, rule-based guardrail for Claude", "Open source with a documented rule set" ], "cons": [ "Limited to 96 predefined patterns, may not cover all edge cases", "Requires setup and integration with an MCP-compatible client", "Small community with only 6 stars, indicating limited adoption and support" ], "tags": [ "ai-automation", "anthropic", "best-practices", "claude", "claude-ai", "claude-code", "claude-desktop", "developer-tools" ], "featured": false, "tier": "curated", "stars": 6, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-01-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/optimaquantum/claude-critical-rules-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "eyaltoledano-claude-task-master" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/optimaquantum-claude-critical-rules-mcp" }, { "slug": "optuna-optuna-mcp", "name": "optuna/optuna-mcp", "vendor": "Various", "tagline": "The Optuna MCP Server is a Model Context Protocol (MCP) server to interact with Optuna APIs.", "description": "An MCP server that exposes Optuna's hyperparameter optimization APIs through the Model Context Protocol. It allows AI agents and MCP-compatible tools to query study results, create new studies, and interact with optimization trials.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-compatible AI assistants that need hyperparameter optimization capabilities", "useCases": [ "Querying historical hyperparameter optimization studies from an AI agent", "Creating and managing Optuna studies via natural language commands", "Integrating Optuna into MCP-compatible IDEs or chat interfaces" ], "pros": [ "Open-source and Python-based, integrates seamlessly with existing Optuna workflows", "Provides a standardized interface for AI tools to access optimization data", "Lightweight server with minimal setup overhead" ], "cons": [ "Relatively new project with limited community adoption and documentation", "Depends on Optuna's API, which may undergo breaking changes across versions", "Useful only for teams already using Optuna for hyperparameter tuning" ], "tags": [ "hyperparameter-optimization", "llm", "mcp", "mcp-server", "optimization", "python" ], "featured": false, "tier": "curated", "stars": 76, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/optuna/optuna-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [ "scikit-learn", "pytorch" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/optuna-optuna-mcp" }, { "slug": "opusforge-gorilla-mcp", "name": "opusforge/gorilla-mcp", "vendor": "Various", "tagline": "MCP server for Gorilla. Find your first SaaS users on Reddit, X, YouTube, and TikTok. https://usegorilla.app", "description": "An MCP server that connects Gorilla's SaaS user acquisition platform to AI assistants. It enables automated discovery of potential users across Reddit, X, YouTube, and TikTok by querying Gorilla's API through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "SaaS founders and growth hackers who want to automate social media lead discovery via AI assistants", "useCases": [ "Find early adopters discussing specific problems on social platforms", "Automate lead sourcing for SaaS products from public conversations", "Integrate user discovery workflows into AI-powered development tools" ], "pros": [ "Directly taps into multiple social platforms for lead generation", "Simple MCP interface works with any compatible AI assistant", "Lightweight JavaScript implementation with minimal dependencies" ], "cons": [ "Very early stage with only 2 GitHub stars and limited community", "Requires a Gorilla account and API access to function", "No documentation beyond the repository link and description" ], "tags": [ "anthropic", "claude", "founders", "lead-generation", "mcp", "model-context-protocol", "saas" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/opusforge/gorilla-mcp", "relations": { "works_in": [ "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/opusforge-gorilla-mcp" }, { "slug": "oraios-serena", "name": "oraios/serena", "vendor": "Various", "tagline": "A powerful MCP toolkit for coding, providing semantic retrieval and editing capabilities - the IDE for your agent", "description": "Serena is an MCP toolkit written in Python that provides semantic retrieval and code editing capabilities for AI agents. It functions as an integrated development environment layer, enabling agents to search, understand, and modify code through natural language interfaces.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to understand and modify code programmatically", "useCases": [ "Semantic code search across large codebases", "Automated code refactoring and editing by agents", "Context-aware code retrieval for agent reasoning" ], "pros": [ "Semantic understanding of code rather than keyword matching", "Direct integration with MCP protocol for agent workflows", "Handles both retrieval and editing in one toolkit" ], "cons": [ "Python-only implementation limits language support", "Requires MCP-compatible agent framework to function", "Limited documentation on performance at scale" ], "tags": [ "agent", "ai", "ai-coding", "claude", "claude-code", "codex", "ide", "jetbrains" ], "featured": false, "tier": "curated", "stars": 24823, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/oraios/serena", "relations": { "works_in": [ "continue", "anthropic-computer-use" ], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp", "pydantic-pydantic-ai-mcp-run-python" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/oraios-serena" }, { "slug": "orellazi-coda-mcp", "name": "orellazi/coda-mcp", "vendor": "Various", "tagline": "MCP Server for Coda", "description": "A Model Context Protocol server that enables AI assistants to interact with Coda documents. It exposes Coda API operations as tools for reading, writing, and managing docs through the MCP standard.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to connect AI assistants to Coda documents for automated data retrieval and updates", "useCases": [ "Query Coda tables and retrieve document content via an AI assistant", "Create or update rows in Coda tables programmatically", "Automate document management workflows from an MCP-compatible client" ], "pros": [ "Leverages the MCP standard for easy integration with AI tools", "Written in TypeScript for type safety and maintainability", "Small focused codebase with 60 GitHub stars" ], "cons": [ "Limited to Coda's API capabilities and rate limits", "Requires a Coda API token and proper authentication setup", "Relatively new project with a small community" ], "tags": [], "featured": false, "tier": "curated", "stars": 60, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/orellazri/coda-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "browsermcp-mcp", "idosal-git-mcp", "agent-infra-mcp-server-browser" ], "alternative_to": [ "sooperset-mcp-atlassian", "haris-musa-excel-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/orellazi-coda-mcp" }, { "slug": "orygnscode-opa-mcp-server", "name": "OrygnsCode/opa-mcp-server", "vendor": "Various", "tagline": "Model Context Protocol server for Open Policy Agent (OPA). Author, validate, debug, and explain Rego policies through any MCP-compatible client.", "description": "OrygnsCode/opa-mcp-server is a Model Context Protocol server for Open Policy Agent (OPA). It enables developers to author, validate, debug, and explain Rego policies through any MCP-compatible client. The tool provides an interactive interface for policy management without requiring direct access to the OPA command-line tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers already using MCP-compatible tools who want to manage OPA policies interactively.", "useCases": [ "Writing and editing Rego policies through a chat or IDE interface", "Validating policy correctness against sample inputs", "Debugging policy evaluation step by step with explanations" ], "pros": [ "Brings OPA policy authoring into MCP-compatible workflows", "Reduces context switching by embedding policy tasks in existing tools", "Supports interactive debugging and explanation of Rego policies" ], "cons": [ "Low community adoption with only 2 GitHub stars", "Requires an MCP-compatible client to be useful", "Limited documentation and support for advanced OPA features" ], "tags": [ "ai-agents", "authorization", "claude", "cursor", "kubernetes", "llm", "mcp", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/OrygnsCode/opa-mcp-server", "relations": { "works_in": [ "cline", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/orygnscode-opa-mcp-server" }, { "slug": "osinmv-funciton-lookup-mcp", "name": "osinmv/funciton-lookup-mcp", "vendor": "Various", "tagline": "MCP server for AI agents to lookup function signatures from any API. Uses SQLite and universal ctags to index source files across multiple languages (Python, C, Go, C++, JS, Rust,", "description": "An MCP server that lets AI agents look up function signatures from any API by indexing source files with universal ctags and storing them in SQLite. It supports multiple languages including Python, C, Go, C++, JS, Rust, and Java, and helps prevent hallucination on unknown or recently updated source files by providing accurate signatures.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need accurate function signatures from existing codebases", "useCases": [ "Provide correct function signatures to an AI coding assistant during code generation", "Validate API calls in an agent by cross-referencing against indexed source files", "Reduce hallucination when an AI agent references functions from a large or unfamiliar codebase" ], "pros": [ "Supports a wide range of programming languages via universal ctags", "Uses local SQLite for fast, offline signature lookups", "Directly addresses hallucination by returning real function signatures" ], "cons": [ "Requires source files to be present and indexed before use", "Depends on universal ctags, which may not cover all language features or custom syntax", "Limited to function signatures only, not full documentation or usage examples" ], "tags": [ "ctags", "mcp", "python" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "Python" ], "lastUpdated": "2025-11-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/osinmv/function-lookup-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp", "continue" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/osinmv-funciton-lookup-mcp" }, { "slug": "oso95-domain-suite-mcp", "name": "oso95/domain-suite-mcp", "vendor": "Various", "tagline": "MCP with skills for your agent to do domain and DNS management across Porkbun, Namecheap, GoDaddy and Cloudflare.", "description": "An MCP server that gives AI agents skills to manage domains and DNS across Porkbun, Namecheap, GoDaddy, and Cloudflare. It uses TypeScript and exposes domain operations through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need multi-registrar domain management", "useCases": [ "Automate domain registration and renewal across multiple registrars", "Manage DNS records (A, CNAME, MX) through agent-driven workflows", "Centralize domain portfolio checks and expiry monitoring" ], "pros": [ "Supports four major domain providers in one integration", "Leverages MCP for standardized agent tool access", "Written in TypeScript for type safety and easy extension" ], "cons": [ "Low community adoption with only 3 GitHub stars", "Requires separate API credentials for each provider", "Limited documentation and no active maintenance indicators" ], "tags": [ "ai-agent", "claude", "cloudflare", "dns", "domain", "godaddy", "mcp", "namecheap" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/oso95/domain-suite-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "executeautomation-playwright-mcp-server", "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/oso95-domain-suite-mcp" }, { "slug": "osojdjd-deeplook", "name": "OSOJDJD/deeplook", "vendor": "Various", "tagline": "Company intelligence for AI agents — any company, one call", "description": "A Python library that provides company intelligence for AI agents. It allows retrieval of information about any company with a single API call, designed for easy integration into agent workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need quick, programmatic company lookups", "useCases": [ "Enrich AI agent responses with real-time company data", "Automate company research for due diligence or lead qualification", "Integrate company lookups into chatbot or assistant pipelines" ], "pros": [ "Simple one-call interface for company data", "Open source and Python-native for easy adoption", "Lightweight dependency for agent toolkits" ], "cons": [ "Very early stage with only 10 GitHub stars", "Limited community support and documentation", "Data coverage and accuracy may be unproven" ], "tags": [ "company-research", "financial-data", "mcp", "mcp-server", "open-source" ], "featured": false, "tier": "curated", "stars": 10, "language": [ "Python" ], "license": "AGPL-3.0", "lastUpdated": "2026-05-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/OSOJDJD/deeplook", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "exa-labs-exa-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/osojdjd-deeplook" }, { "slug": "osseni94-oyemi-mcp", "name": "Osseni94/oyemi-mcp", "vendor": "Various", "tagline": "MCP support for Oyemi Library", "description": "Osseni94/oyemi-mcp is a Python library that adds Model Context Protocol (MCP) support to the Oyemi Library. It enables AI assistants to interact with Oyemi's data and functions through a standardized protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers already using Oyemi Library who want to expose it via MCP", "useCases": [ "Connecting AI assistants to Oyemi Library data", "Building MCP-compatible tools on top of Oyemi", "Integrating Oyemi with MCP-enabled AI workflows" ], "pros": [ "Lightweight Python implementation", "Standardized MCP interface for Oyemi", "Open source with permissive license" ], "cons": [ "Very early stage with only 2 GitHub stars", "Limited documentation and community support", "Dependent on Oyemi Library's stability" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "lastUpdated": "2025-12-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/Osseni94/oyemi-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/osseni94-oyemi-mcp" }, { "slug": "osseni94-keyneg-mcp", "name": "Osseni94/keyneg-mcp", "vendor": "Various", "tagline": "Keyneg connector", "description": "A Python-based MCP connector for Keyneg. It implements the Model Context Protocol to allow MCP-compatible clients to interact with Keyneg services.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with MCP and needing a basic Keyneg connector", "useCases": [ "Integrating Keyneg into MCP-based agent workflows", "Building custom tools that leverage Keyneg through a standard protocol", "Prototyping MCP server extensions for Keyneg" ], "pros": [ "Open source and written in Python, easy to inspect and modify", "Follows the MCP standard, enabling interoperability with many clients" ], "cons": [ "Zero stars and no community adoption yet, indicating limited testing", "No documentation beyond the repository name and description", "Unknown stability or feature completeness" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "lastUpdated": "2025-12-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/Osseni94/keyneg-mcp", "relations": { "works_in": [ "cline", "roocode", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/osseni94-keyneg-mcp" }, { "slug": "osulivan-skill4agent-mcp-server", "name": "osulivan/skill4agent-mcp-server", "vendor": "Various", "tagline": "MCP Server for skill4agent - Search and install AI skills via Model Context Protocol", "description": "An MCP server that enables searching and installing AI skills from skill4agent using the Model Context Protocol. It acts as a bridge between MCP-compatible clients and the skill4agent skill repository, allowing users to discover and add new skills programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to integrate skill4agent skills into MCP-enabled tools or workflows.", "useCases": [ "Searching for available AI skills from skill4agent", "Installing selected skills directly into an MCP client", "Automating skill discovery and integration in development workflows" ], "pros": [ "Straightforward TypeScript implementation, easy to understand", "Focuses on a specific integration task, keeping scope small", "Open source, allowing customization and contribution" ], "cons": [ "Very low star count (2) suggests limited adoption or community support", "Potential instability or lack of maintenance due to minimal engagement", "Requires familiarity with MCP and skill4agent ecosystems" ], "tags": [ "agent-skills", "ai-skills", "claude-desktop", "claude-skills", "claude-skills-library", "mcp", "mcp-client", "mcp-server" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "lastUpdated": "2026-02-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/osulivan/skill4agent-mcp-server", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "skill-seekers-skill-seekers" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/osulivan-skill4agent-mcp-server" }, { "slug": "othmaneblial-term-mcp-deepseek", "name": "OthmaneBlial/term_mcp_deepseek", "vendor": "Various", "tagline": "A MCP‑like server using the DeepSeek API for Terminal", "description": "A Python server that exposes DeepSeek API functionality through an MCP-like interface for terminal use. It allows users to interact with DeepSeek models from the command line via a protocol similar to the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want a simple terminal interface to DeepSeek models with MCP-like integration", "useCases": [ "Running DeepSeek queries directly from the terminal", "Integrating DeepSeek into existing MCP-based workflows", "Building custom terminal tools backed by DeepSeek models" ], "pros": [ "Lightweight and easy to run from the command line", "Leverages the DeepSeek API for capable language model responses", "Open source with a straightforward Python codebase" ], "cons": [ "Relies on the DeepSeek API, requiring an internet connection and API key", "Small community and limited documentation due to low star count", "May not fully implement the MCP standard, limiting compatibility" ], "tags": [], "featured": false, "tier": "curated", "stars": 16, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-09-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/OthmaneBlial/term_mcp_deepseek", "relations": { "works_in": [], "uses": [ "deepseek-r1" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/othmaneblial-term-mcp-deepseek" }, { "slug": "ouvreboite-openapi-to-mcp", "name": "ouvreboite/openapi-to-mcp", "vendor": "Various", "tagline": "An MCP server for your API", "description": "Converts OpenAPI specifications into MCP servers, enabling AI assistants to directly call your API endpoints through the Model Context Protocol. Implemented in C#, it exposes any OpenAPI-compliant API as an MCP server with minimal configuration.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers wanting to quickly connect their OpenAPI-defined APIs to MCP-compatible AI agents", "useCases": [ "Expose existing REST APIs to AI assistants via MCP", "Quickly create MCP servers from OpenAPI specs", "Integrate AI models with your API without custom glue code" ], "pros": [ "Automatic generation from OpenAPI specs reduces manual work", "Uses standard MCP protocol for broad AI tool compatibility", "Simple setup with existing OpenAPI definitions" ], "cons": [ "Limited to OpenAPI spec requirements; may not handle non-standard APIs", "Small community (33 stars) with potentially limited support", "C# dependency may not suit all environments" ], "tags": [], "featured": false, "tier": "curated", "stars": 33, "language": [ "C#" ], "license": "MIT", "lastUpdated": "2025-07-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/ouvreboite/openapi-to-mcp", "relations": { "works_in": [ "cursor", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ouvreboite-openapi-to-mcp" }, { "slug": "overquotaai-chatterboxio-mcp-server", "name": "OverQuotaAI/chatterboxio-mcp-server", "vendor": "Various", "tagline": "A Model Context Protocol server implementation for ChatterBox, enabling AI agents to interact with online meetings and generate meeting summaries", "description": "A Model Context Protocol server implementation for ChatterBox. It enables AI agents to interact with online meetings and generate meeting summaries. The server exposes meeting capabilities to MCP clients using TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to interact with ChatterBox meetings and generate summaries", "useCases": [ "Integrate meeting summaries into AI agent workflows", "Enable AI agents to join and observe ChatterBox meetings", "Automate meeting note generation and distribution" ], "pros": [ "Implements the Model Context Protocol for standardized agent-meeting interaction", "Written in TypeScript for type safety and modern development", "Open source repository allows community contributions" ], "cons": [ "Limited community adoption (10 GitHub stars)", "Requires the ChatterBox platform for meetings", "May lack extensive documentation or examples" ], "tags": [ "gmeet-bot", "mcp-server", "zoom-bot" ], "featured": false, "tier": "curated", "stars": 10, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-07-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/OverQuotaAI/chatterboxio-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mediar-ai-screenpipe", "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/overquotaai-chatterboxio-mcp-server" }, { "slug": "overpod-mcp-telegram", "name": "overpod/mcp-telegram", "vendor": "Various", "tagline": "Connect Telegram to Claude AI — messages, media, reactions, polls, scheduled messages & more. Hosted version: mcp-telegram.com (QR login, 30 sec setup). Built on GramJS/MTProto.", "description": "A TypeScript MCP server that connects Telegram to Claude AI, enabling message sending, media handling, reaction processing, poll management, and scheduled messaging. Built on GramJS/MTProto, it offers a hosted version at mcp-telegram.com with QR login and 30-second setup.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers integrating Telegram with Claude AI for automated messaging and interaction", "useCases": [ "Automate Telegram message replies and reactions via Claude", "Schedule and send Telegram messages or polls through AI", "Process incoming Telegram media and messages with Claude" ], "pros": [ "Quick hosted setup with QR login in under 30 seconds", "Supports a wide range of Telegram features including media, reactions, and polls", "Built on reliable GramJS/MTProto library" ], "cons": [ "Low GitHub stars (11) indicate early-stage or limited adoption", "Hosted version requires sharing Telegram credentials via QR login, raising privacy concerns", "Tied specifically to Claude AI, limiting use with other models" ], "tags": [ "ai-tools", "claude", "gramjs", "mcp", "mcp-server", "model-context-protocol", "mtproto", "telegram" ], "featured": false, "tier": "curated", "stars": 11, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/overpod/mcp-telegram", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "lharries-whatsapp-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/overpod-mcp-telegram" }, { "slug": "oxgeneral-agentnet", "name": "oxgeneral/agentnet", "vendor": "Various", "tagline": "Your agent has zero users. This fixes that. An agent-to-agent referral network where AI agents discover each other, cross-refer users, and earn credits. Available as an MCP server", "description": "An agent-to-agent referral network that lets AI agents discover each other, cross-refer users, and earn credits. Available as an MCP server or HTTP API, built in Python for developer integration.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building autonomous AI agents that need a built-in mechanism for discovery and user acquisition.", "useCases": [ "Referring users between agents to grow adoption", "Building a collaborative multi-agent marketplace", "Earning credits through agent cross-referrals" ], "pros": [ "Offers a novel approach to agent discovery and user growth", "Dual interface (MCP server and HTTP API) for flexible integration", "Lightweight Python implementation suitable for rapid prototyping" ], "cons": [ "Zero stars and no proven traction or reliability data", "Limited documentation or community support expected", "Network effects critical to value; single-agent deployment offers no benefit" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "lastUpdated": "2026-02-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/oxgeneral/agentnet", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "autogen" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/oxgeneral-agentnet" }, { "slug": "ovlabs-mcp-server-originalvoices", "name": "ovlabs/mcp-server-originalvoices", "vendor": "Various", "tagline": "MCP (Model Context Protocol) server that provides access to OriginalVoices' network Digital Twins for real-time audience research.", "description": "An MCP server that connects AI agents to OriginalVoices' network of digital twins for real-time audience research. It uses the Model Context Protocol to allow agents to query audience data and insights.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need real-time audience insights from digital twin networks", "useCases": [ "Integrate audience digital twin data into AI agents", "Query real-time audience sentiment and preferences", "Build research tools that leverage OriginalVoices' network" ], "pros": [ "Provides real-time access to audience research via digital twins", "Standard MCP interface simplifies integration with AI agents", "JavaScript implementation is accessible to many developers" ], "cons": [ "Low star count indicates limited community adoption and maturity", "Dependent on the OriginalVoices platform and its data availability", "May have limited documentation or support due to early stage" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "JavaScript" ], "lastUpdated": "2026-03-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/ovlabs/mcp-server-originalvoices", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ovlabs-mcp-server-originalvoices" }, { "slug": "ozgurcd-gograph", "name": "ozgurcd/gograph", "vendor": "Various", "tagline": "A fast, local-only CLI tool to generate repository structures and improve IDE context awareness for Go codebases.", "description": "A fast CLI tool written in Go that generates repository structure snapshots for local projects. It improves IDE context awareness by producing structural metadata from Go codebases without sending data to external services.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Go developers needing on-demand, offline repository structure summaries to enhance editor context", "useCases": [ "Generating a tree view of Go project layout for onboarding or documentation", "Feeding structural context to IDE plugins or editor tools for better code navigation", "Quickly exploring unfamiliar Go repositories to understand their file organization" ], "pros": [ "Runs entirely offline with no external dependencies or data leaks", "Very fast processing suitable for large codebases", "Lightweight and simple to install as a standalone binary" ], "cons": [ "Limited to Go projects only, no support for other languages or mixed repos", "Only provides structural metadata, not code-level analysis or dependencies", "Output requires manual integration into IDE tooling for full benefit" ], "tags": [ "agentic-coding", "ai-agent", "ai-coding-assistant", "antigravity", "ast", "claude-code", "cli", "code-analysis" ], "featured": false, "tier": "curated", "stars": 150, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/ozgurcd/gograph", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ozgurcd-gograph" }, { "slug": "p4st4s-mcp-audit", "name": "P4ST4S/mcp-audit", "vendor": "Various", "tagline": "A transparent Go proxy that intercepts, signs, and audits all MCP tool calls between any client and server, without modifying either.", "description": "P4ST4S/mcp-audit is a transparent Go proxy that intercepts all MCP tool calls between any client and server. It signs each call and maintains an audit log without requiring modifications to either endpoint.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to audit or secure MCP tool call interactions without modifying existing systems", "useCases": [ "Auditing MCP tool calls for compliance or security review", "Signing tool calls to verify integrity and authenticity", "Debugging MCP interactions by capturing call details transparently" ], "pros": [ "Transparent operation: no changes needed to client or server", "Written in Go, offering good performance and easy deployment", "Provides both signing and audit logging in a single tool" ], "cons": [ "Small community with only 4 GitHub stars", "Limited to the MCP protocol, not applicable to other APIs", "Introduces proxy latency and a potential single point of failure" ], "tags": [ "ai-agents", "anthropic", "audit-log", "golang", "mcp", "model", "promotheus", "proxy" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "Go" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/P4ST4S/mcp-audit", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "awslabs-mcp", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/p4st4s-mcp-audit" }, { "slug": "pab1it0-prometheus-mcp-server", "name": "pab1it0/prometheus-mcp-server", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server that enables AI agents and LLMs to query and analyze Prometheus metrics through standardized interfaces.", "description": "An MCP server that lets AI agents and LLMs query Prometheus metrics through a standardized interface. It exposes PromQL queries as tools, enabling natural language interaction with monitoring data. Built in Python, it bridges the gap between LLM workflows and observability infrastructure.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need real-time access to Prometheus metrics", "useCases": [ "Query Prometheus metrics from AI agents or chat interfaces", "Automate incident response by feeding live metrics into LLM analysis", "Integrate monitoring data into natural language dashboards or reports" ], "pros": [ "Standard MCP protocol makes integration with existing AI frameworks straightforward", "Leverages PromQL for powerful, flexible metric queries", "Active open-source project with 450 stars and community contributions" ], "cons": [ "Requires a running Prometheus instance and network access to it", "Limited to read-only queries; cannot modify alert rules or configuration", "MCP ecosystem is still evolving, so client support may vary" ], "tags": [ "ai", "devops", "llm", "mcp", "model-context-protocol", "prometheus" ], "featured": false, "tier": "curated", "stars": 450, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/pab1it0/prometheus-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "netdata-netdata-netdata" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pab1it0-prometheus-mcp-server" }, { "slug": "pab1it0-adx-mcp-server", "name": "pab1it0/adx-mcp-server", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server that enables AI assistants to query and analyze Azure Data Explorer databases through standardized interfaces.", "description": "An MCP server that allows AI assistants to query and analyze Azure Data Explorer databases. It uses the Model Context Protocol to provide a standardized interface for data exploration and querying.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need to query Azure Data Explorer databases", "useCases": [ "Query Azure Data Explorer databases from AI assistants", "Perform natural language analysis on large-scale telemetry data", "Integrate Azure Data Explorer with MCP-compatible AI tools" ], "pros": [ "Open source with a Python codebase", "Provides a standardized MCP interface for Azure Data Explorer", "Enables AI assistants to directly query and analyze data" ], "cons": [ "Small community with only 55 GitHub stars", "Requires familiarity with both Azure Data Explorer and MCP", "May not be extensively tested for production workloads" ], "tags": [], "featured": false, "tier": "curated", "stars": 55, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/pab1it0/adx-mcp-server", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [ "cline", "cursor" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pab1it0-adx-mcp-server" }, { "slug": "pab1it0-tripadvisor-mcp", "name": "pab1it0/tripadvisor-mcp", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server for Tripadvisor Content API. This provides access to Tripadvisor location data, reviews, and photos through standardized MCP interfaces, allow", "description": "A Model Context Protocol (MCP) server that wraps the Tripadvisor Content API. It exposes location data, reviews, and photos through standardized MCP interfaces. AI assistants can use it to search for travel destinations and experiences programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need travel and review data from Tripadvisor", "useCases": [ "Search for travel destinations by query or location", "Retrieve reviews and ratings for a specific place", "Fetch photos of attractions, hotels, or restaurants" ], "pros": [ "Provides structured access to Tripadvisor data via the MCP standard", "Enables AI assistants to query travel information without custom API integration", "Open source with a moderate community (57 stars) for collaboration" ], "cons": [ "Requires a Tripadvisor API key and is subject to API rate limits", "Data scope is limited to what the Tripadvisor Content API offers", "Relatively small community may mean fewer examples or slower updates" ], "tags": [], "featured": false, "tier": "curated", "stars": 57, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-04-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/pab1it0/tripadvisor-mcp", "relations": { "works_in": [ "cline", "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pab1it0-tripadvisor-mcp" }, { "slug": "pab1ito-chess-mcp", "name": "pab1ito/chess-mcp", "vendor": "Various", "tagline": "A Model Context Protocol server for Chess.com's Published Data API. This provides access to Chess.com player data, game records, and other public information through standardized M", "description": "A Model Context Protocol server that wraps Chess.com's Published Data API. It exposes player data, game records, and other public chess information through standardized MCP interfaces, enabling AI assistants to query and analyze chess data.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need to query public chess data from Chess.com", "useCases": [ "Retrieve a player's profile, stats, and recent games via natural language", "Search for game archives and analyze historical matches", "Integrate chess data into AI-driven coaching or analysis tools" ], "pros": [ "Leverages the MCP standard for easy integration with AI assistants", "Provides structured access to Chess.com's public data without scraping", "Lightweight Python implementation with clear API boundaries" ], "cons": [ "Limited to Chess.com's published data; no real-time or private data", "Depends on the Chess.com API's rate limits and availability", "Small community (74 stars) may mean slower updates or support" ], "tags": [], "featured": false, "tier": "curated", "stars": 74, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-11-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/pab1it0/chess-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pab1ito-chess-mcp" }, { "slug": "paladini-devutils-mcp-server", "name": "paladini/devutils-mcp-server", "vendor": "Various", "tagline": "An open-source DevUtils MCP Server — a comprehensive developer utilities toolkit for the Docker MCP Catalog. It provides 36 tools across 8 categories that AI assistants can invoke", "description": "An open-source MCP server that provides 36 developer utilities across 8 categories. AI assistants can invoke these tools directly within the Docker MCP Catalog environment.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using AI assistants in Docker environments", "useCases": [ "Running utility functions via AI assistants", "Automating common developer tasks", "Integrating with Docker MCP workflows" ], "pros": [ "Open source and free to use", "36 tools covering 8 categories", "TypeScript-based for easy extension" ], "cons": [ "Limited community adoption (only 1 star)", "Requires Docker MCP Catalog setup", "May have fewer tested tools" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/paladini/devutils-mcp-server", "relations": { "works_in": [], "uses": [ "docker" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/paladini-devutils-mcp-server" }, { "slug": "paladini-mcp-me", "name": "paladini/mcp-me", "vendor": "Various", "tagline": "Your AI assistants don't know who you are. mcp-me fixes that: a local MCP server that gives any AI a full picture of who you are", "description": "A local MCP server that exposes your identity, preferences, and background to any MCP-compatible AI assistant. It runs on your machine and provides a structured profile so assistants can personalize responses without repeated setup.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want a single source of truth for personal context across AI tools", "useCases": [ "Personalizing AI answers with your job role and expertise", "Giving every AI tool consistent context about your goals", "Eliminating the need to reintroduce yourself in each session" ], "pros": [ "Lightweight TypeScript server with no external services", "Works across any MCP-compatible assistant or IDE", "Keeps your profile fully local under your control" ], "cons": [ "Requires the assistant to support the MCP protocol", "Profile must be manually defined and updated", "Local-only so not available on other devices without setup" ], "tags": [ "ai", "ai-assistant", "claude", "cli", "cursor", "generator", "llm", "mcp" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/paladini/mcp-me", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "claude-code", "cursor", "cline" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/paladini-mcp-me" }, { "slug": "pantelisgeorgiadis-dicomweb-mcp-server", "name": "PantelisGeorgiadis/dicomweb-mcp-server", "vendor": "Various", "tagline": "DICOMweb Model Context Protocol (MCP) server implementation", "description": "A JavaScript implementation of a DICOMweb server that exposes medical imaging resources through the Model Context Protocol (MCP). It enables AI agents to query and retrieve DICOM studies, series, and instances using standard DICOMweb endpoints.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need programmatic access to medical imaging archives via DICOMweb", "useCases": [ "Query medical imaging studies from DICOMweb archives", "Retrieve DICOM metadata and pixel data for AI analysis", "Integrate medical imaging data into LLM-based workflows" ], "pros": [ "Open source and built on standard DICOMweb protocols", "Lightweight JavaScript implementation suitable for Node.js environments", "Directly connects AI agents to medical imaging repositories" ], "cons": [ "Very early stage with only 2 GitHub stars and limited community adoption", "Narrow use case limited to DICOMweb and MCP integrations", "May lack comprehensive documentation and production hardening" ], "tags": [ "dicom", "dicomweb", "mcp" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/PantelisGeorgiadis/dicomweb-mcp-server", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pantelisgeorgiadis-dicomweb-mcp-server" }, { "slug": "pallaprolus-mendeley-mcp", "name": "pallaprolus/mendeley-mcp", "vendor": "Various", "tagline": "MCP server for Mendeley reference manager - search, retrieve, and manage your academic library from Claude and other MCP clients", "description": "An MCP (Model Context Protocol) server that connects Mendeley reference manager with MCP clients like Claude. It enables users to search, retrieve, and manage their academic library through natural language prompts. The server is implemented in Python and communicates with Mendeley's API.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Researchers who use Mendeley and want to query or organize their library through AI assistants", "useCases": [ "Search for papers in your Mendeley library by title or author", "Retrieve metadata and details of stored references", "Manage collections and organize references via AI assistants" ], "pros": [ "Open source and free to use", "Integrates directly with MCP-compatible AI tools like Claude", "Written in Python, easy to customize or extend" ], "cons": [ "Small community (19 stars) may mean limited support and slower updates", "Requires Mendeley API credentials and internet access to function", "Depends on MCP client support, which is still emerging" ], "tags": [ "academic", "ai", "bibliography", "citations", "llm", "mcp", "mendeley", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 19, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-01-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/pallaprolus/mendeley-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "claude-code", "cline" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pallaprolus-mendeley-mcp" }, { "slug": "pantheon-security-chrome-mcp-secure", "name": "Pantheon-Security/chrome-mcp-secure", "vendor": "Various", "tagline": "Secure ChromeMCP Server - Query and Debugging sites using Google Chrome with additional security hardening layers", "description": "A secure MCP server that lets you query and debug websites through Google Chrome with added security hardening. It wraps Chrome automation in TypeScript, applying extra layers to reduce risk during browser-based data extraction and testing.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a secure, scriptable way to query and debug websites using Chrome.", "useCases": [ "Debugging live websites by programmatically inspecting page content and network activity", "Extracting structured data from web pages for analysis or integration", "Running automated browser tests with enhanced security controls" ], "pros": [ "Adds security hardening layers on top of standard Chrome automation", "Written in TypeScript for type safety and easier integration", "Lightweight and focused on querying and debugging tasks" ], "cons": [ "Limited to Chrome browser only, no support for other browsers", "Small community with only 5 stars, may have fewer resources or updates", "Security hardening may add complexity for simple automation needs" ], "tags": [ "ai", "automation", "browser-automation", "chrome", "claude", "devtools", "encryption", "google" ], "featured": false, "tier": "curated", "stars": 5, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-01-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/Pantheon-Security/chrome-mcp-secure", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "browsermcp-mcp", "agent-infra-mcp-server-browser" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pantheon-security-chrome-mcp-secure" }, { "slug": "pantheon-security-notebooklm-mcp-secure", "name": "Pantheon-Security/notebooklm-mcp-secure", "vendor": "Various", "tagline": "Secure NotebookLM MCP Server - Query Google NotebookLM from Claude/AI agents with 17 security hardening layers", "description": "A secure MCP server that lets Claude and other AI agents query Google NotebookLM. It wraps the NotebookLM API with 17 security hardening layers to prevent data leaks and unauthorized access.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to query NotebookLM from AI agents with strong security controls", "useCases": [ "Connect AI agents to NotebookLM for secure document Q&A", "Query personal knowledge bases from Claude without exposing sensitive data", "Build a hardened bridge between NotebookLM and enterprise AI tools" ], "pros": [ "17 security layers reduce risk of data exposure", "Open-source TypeScript implementation is auditable", "Enables NotebookLM access from any MCP-compatible client" ], "cons": [ "Requires Google NotebookLM access and API setup", "Security layers add complexity and potential latency", "Small community (68 stars) may mean limited support" ], "tags": [ "ai", "automation", "browser-automation", "claude", "google", "llm", "mcp", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 68, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/Pantheon-Security/notebooklm-mcp-secure", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pantheon-security-notebooklm-mcp-secure" }, { "slug": "panther-labs-mcp-panther", "name": "panther-labs/mcp-panther", "vendor": "Various", "tagline": "Write detections, investigate alerts, and query logs from your favorite AI agents", "description": "MCP-Panther is a Python-based tool that lets AI agents write security detections, investigate alerts, and query logs through the Model Context Protocol. It connects to Panther's detection-as-code platform, enabling automated security operations workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Security engineers and SOC teams using Panther who want to automate detection writing and alert investigation with AI agents.", "useCases": [ "Automatically generate and test new security detections from natural language prompts", "Investigate security alerts by querying log data through an AI agent", "Integrate Panther's detection capabilities into AI-driven security pipelines" ], "pros": [ "Enables natural language interaction with Panther's detection platform", "Open source with a permissive license for customization", "Reduces manual effort in writing and testing detections" ], "cons": [ "Limited community adoption with only 44 GitHub stars", "Requires Panther platform access and setup", "Dependency on MCP protocol may limit agent compatibility" ], "tags": [ "ai", "cybersecurity", "mcp-server", "security-operations" ], "featured": false, "tier": "curated", "stars": 44, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-05-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/panther-labs/mcp-panther", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/panther-labs-mcp-panther" }, { "slug": "papersflow-ai-papersflow-mcp", "name": "papersflow-ai/papersflow-mcp", "vendor": "Various", "tagline": "papersflow-mcp is PapersFlow’s production MCP server for literature search, citation verification, related-paper discovery, and authenticated research workflows across Claude, Code", "description": "papersflow-mcp is a production MCP server for literature search, citation verification, related-paper discovery, and authenticated research workflows. It integrates with Claude, Codex, Gemini, and other MCP clients to provide structured access to academic paper data.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-assisted research tools or integrating literature search into MCP workflows", "useCases": [ "Searching academic literature for relevant papers", "Verifying citations in research drafts", "Discovering related papers from a given reference" ], "pros": [ "Supports multiple MCP clients including Claude, Codex, and Gemini", "Covers core research tasks like search, citation check, and discovery", "Open source with a production-ready server implementation" ], "cons": [ "Low GitHub star count (9) indicates limited community adoption", "May depend on external APIs or databases for paper data", "Documentation and usage examples are sparse" ], "tags": [ "agentic-ai", "claude-code", "codex-cli", "gemini-cli", "gemini-cli-extension", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 9, "language": [], "license": "MIT", "lastUpdated": "2026-03-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/papersflow-ai/papersflow-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "exa-labs-exa-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/papersflow-ai-papersflow-mcp" }, { "slug": "paracetamol951-caisse-enregistreuse-mcp-server", "name": "paracetamol951/caisse-enregistreuse-mcp-server", "vendor": "Various", "tagline": "Kash.click MCP server [Official]", "description": "This is an MCP server for Kash.click, a point-of-sale platform. It exposes Kash.click functionality through the Model Context Protocol, allowing AI agents to interact with the POS system. The server is written in TypeScript and is marked as official.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to interact with Kash.click POS systems", "useCases": [ "Integrating AI assistants with Kash.click POS for automated transactions", "Building conversational interfaces to manage sales and inventory", "Enabling agent-driven workflows for retail operations" ], "pros": [ "Official integration with Kash.click ensures compatibility", "TypeScript codebase is familiar to many developers", "Leverages MCP standard for easy agent connectivity" ], "cons": [ "Very low community adoption (1 star) suggests limited testing or support", "Dependent on Kash.click platform availability and API stability", "No documentation or usage examples provided in the repository" ], "tags": [ "mcp", "mcp-server", "mcp-servers", "pos" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "GPL-3.0", "lastUpdated": "2026-04-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/paracetamol951/caisse-enregistreuse-mcp-server", "relations": { "works_in": [ "cline", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/paracetamol951-caisse-enregistreuse-mcp-server" }, { "slug": "paracetamol951-p-link-mcp", "name": "paracetamol951/P-Link-MCP", "vendor": "Various", "tagline": "x402 client implementation (x402-fetch), HTTP 402 server implementation and Model Context Protocol (MCP) for P-Link.io : pay, send and receive money with agents", "description": "P-Link-MCP implements an x402 client (x402-fetch) and HTTP 402 server, providing a Model Context Protocol (MCP) integration for P-Link.io. It enables AI agents to pay, send, and receive money programmatically through standard HTTP responses. The project is written in TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers prototyping agent-based payment systems or experimenting with x402 and MCP", "useCases": [ "Enabling AI agents to make payments via HTTP 402 responses", "Integrating payment requests into agent workflows using MCP", "Building server-side logic for agent-initiated financial transactions" ], "pros": [ "Implements the emerging x402 protocol for agent payments", "Leverages MCP for seamless integration with AI agents", "TypeScript codebase provides type safety and readability" ], "cons": [ "Early-stage project with limited adoption (1 star) and community support", "Depends on P-Link.io third-party service for actual payment processing", "Likely incomplete or unstable for production use" ], "tags": [ "402", "api", "mcp", "model-context-protocol", "payment", "payment-gateway", "payment-links", "solana" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-03-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/paracetamol951/P-Link-MCP", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/paracetamol951-p-link-mcp" }, { "slug": "parallel-web-search-mcp", "name": "parallel-web/search-mcp", "vendor": "Various", "tagline": "☁️ 🔎 - Highest Accuracy Web Search for AI", "description": "parallel-web/search-mcp is an open-source MCP (Model Context Protocol) server that provides high-accuracy web search for AI agents. It acts as a bridge between LLMs and multiple search engines, allowing agents to fetch and process real-time web results.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or assistants that need reliable, real-time web search via the MCP protocol.", "useCases": [ "Equipping coding assistants with up-to-date documentation and API references", "Enabling research bots to verify facts and retrieve current information", "Powering autonomous agents that need to search the web during task execution" ], "pros": [ "Open source and freely modifiable", "Designed for high-accuracy results", "Works with standard MCP-compatible AI tools" ], "cons": [ "Requires setup and configuration of search engine API keys", "Dependent on external search providers for rate limits and availability", "No built-in UI or dashboard for monitoring queries" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/parallel-web/search-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "browsermcp-mcp", "agent-infra-mcp-server-browser" ], "alternative_to": [ "exa-labs-exa-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/parallel-web-search-mcp" }, { "slug": "parasxos-cpp26-adapter", "name": "parasxos/cpp26-adapter", "vendor": "Various", "tagline": "Claude Code plugin that turns Claude into a C++26 specialist. Standard-first suggestions; compiler-honest verification.", "description": "A Claude Code plugin that configures Claude to act as a C++26 specialist. It prioritizes standard-conforming suggestions and verifies them against compiler behavior.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "C++ developers exploring or adopting C++26 features who want standard-compliant suggestions verified by compiler behavior.", "useCases": [ "Getting C++26 standard-first code suggestions during development", "Verifying that suggested C++ code compiles correctly with current compilers", "Learning about new C++26 features through compiler-honest examples" ], "pros": [ "Focuses on the latest C++ standard, reducing legacy-pattern suggestions", "Includes compiler verification to catch non-conforming code early", "Lightweight plugin that integrates directly into Claude Code workflow" ], "cons": [ "Zero stars and no community validation yet", "Limited to C++26 scope, not useful for older C++ standards or other languages", "Requires Claude Code environment, not a standalone tool" ], "tags": [ "ai-coding-assistant", "c-plus-plus", "claude-code", "claude-code-plugin", "code-generation", "cpp", "cpp-contracts", "cpp-reflection" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/parasxos/cpp26-adapter", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/parasxos-cpp26-adapter" }, { "slug": "parallel-web-task-mcp", "name": "parallel-web/task-mcp", "vendor": "Various", "tagline": "☁️ 🔎 - Highest Accuracy Deep Research and Batch Tasks MCP", "description": "An open-source MCP server built in TypeScript that provides deep research and batch task capabilities for AI agents. It aims to deliver high accuracy through structured multi-step retrieval and processing. The tool integrates with any MCP-compatible client to perform complex research queries and execute multiple tasks in sequence.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need reliable, multi-step research and batch processing via MCP", "useCases": [ "Running multi-source deep research queries from an AI agent", "Executing batch tasks such as parallel data extraction or analysis", "Building automated research workflows within MCP-based agent frameworks" ], "pros": [ "Open source and written in TypeScript, easy to extend or audit", "Supports both deep research and batch task execution in one server", "Designed for high accuracy, leveraging structured reasoning" ], "cons": [ "Low GitHub star count (11) indicates a small community and limited real-world validation", "High accuracy claim is unverified and depends on the underlying retrieval methods", "Requires an MCP-compatible client, limiting standalone use" ], "tags": [], "featured": false, "tier": "curated", "stars": 11, "language": [ "TypeScript" ], "lastUpdated": "2025-10-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/parallel-web/task-mcp", "relations": { "works_in": [], "uses": [ "agent-infra-mcp-server-browser" ], "built_with": [], "pairs_with": [ "executeautomation-playwright-mcp-server", "browsermcp-mcp" ], "alternative_to": [ "eyaltoledano-claude-task-master" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/parallel-web-task-mcp" }, { "slug": "particlefuture-mcpdiscovery", "name": "particlefuture/MCPDiscovery", "vendor": "Various", "tagline": "🐍 ☁️ 🏠 🍎 🪟 - MCP of MCPs. Automatic discovery and configure MCP servers on your local machine.", "description": "A Python tool that automatically discovers and configures MCP (Model Context Protocol) servers on your local machine. It functions as a meta-MCP server, detecting available MCP servers and setting them up without manual intervention. The project is hosted on GitHub with 50 stars.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to quickly set up and manage multiple MCP servers on their local machine", "useCases": [ "Automatically detect MCP servers running on the local machine", "Configure multiple MCP servers in a single step", "Simplify development workflows that rely on MCP server connections" ], "pros": [ "Automates the discovery and configuration of MCP servers", "Lightweight Python implementation", "Useful for local development and testing" ], "cons": [ "Limited to local machine discovery only", "Small community size (50 stars) may mean less support and fewer contributions", "No indication of support for remote or cloud-based MCP servers" ], "tags": [], "featured": false, "tier": "curated", "stars": 50, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2025-12-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/particlefuture/1mcpserver", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/particlefuture-mcpdiscovery" }, { "slug": "partymola-fitbit-mcp", "name": "partymola/fitbit-mcp", "vendor": "Various", "tagline": "MCP server for the Fitbit Web API with OAuth PKCE, local SQLite cache, and trend analysis", "description": "An MCP server that provides access to the Fitbit Web API using OAuth PKCE. It includes a local SQLite cache for data storage and trend analysis capabilities. Built in Python, it allows developers to query Fitbit data through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based tools that need to query Fitbit health data.", "useCases": [ "Integrate Fitbit data into MCP-compatible clients", "Cache and analyze personal fitness trends offline", "Securely authenticate with Fitbit's API using PKCE" ], "pros": [ "Uses OAuth PKCE for secure authorization without a client secret", "Local SQLite cache reduces API calls and enables offline access", "Provides built-in trend analysis for common metrics" ], "cons": [ "Zero stars suggests limited community adoption or testing", "Requires running a Python server and configuring an MCP client", "Trend analysis scope may be limited to basic calculations" ], "tags": [ "claude", "fitbit", "fitbit-api", "mcp", "mcp-server", "model-context-protocol", "oauth", "quantified-self" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "GPL-3.0", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/partymola/fitbit-mcp", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/partymola-fitbit-mcp" }, { "slug": "partymola-monzo-mcp", "name": "partymola/monzo-mcp", "vendor": "Various", "tagline": "MCP server for the Monzo banking API with OAuth, local transaction cache, and spending analysis", "description": "An MCP server that connects to the Monzo banking API using OAuth. It caches transactions locally and provides spending analysis capabilities for AI agents.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need read access to Monzo banking data", "useCases": [ "Query Monzo account balances and recent transactions via natural language", "Automate spending analysis and categorization through AI assistants", "Build personal finance agents that interact with Monzo data" ], "pros": [ "Open source and Python-based, easy to extend or modify", "Integrates with the Model Context Protocol ecosystem for AI tooling", "Includes local caching to reduce API calls and improve response times" ], "cons": [ "Zero stars on GitHub indicates a very new or unproven project", "Limited to Monzo bank only, no support for other financial institutions", "Requires OAuth setup and user authentication, adding integration complexity" ], "tags": [ "claude", "mcp", "mcp-server", "model-context-protocol", "monzo", "monzo-api", "oauth", "personal-finance" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "GPL-3.0", "lastUpdated": "2026-05-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/partymola/monzo-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "browsermcp-mcp", "executeautomation-playwright-mcp-server", "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/partymola-monzo-mcp" }, { "slug": "pastorsimon1798-mcp-video", "name": "pastorsimon1798/mcp-video", "vendor": "Various", "tagline": "Guardrailed video editing MCP server for AI agents. FFmpeg, Hyperframes, repurposing tools, Python client, and CLI. Local, fast, free.", "description": "An MCP server that lets AI agents perform guardrailed video editing tasks using FFmpeg, Hyperframes, and repurposing tools. It provides a Python client and CLI for local, fast, and free operation.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need simple, safe, local video editing capabilities", "useCases": [ "Automate video trimming, concatenation, and format conversion via AI agents", "Generate hyperframe-based video summaries or previews", "Repurpose existing video content for different platforms or lengths" ], "pros": [ "Runs locally with no cloud dependency or API costs", "Leverages FFmpeg for reliable, well-tested video operations", "Guardrails help prevent unsafe or unintended edits by agents" ], "cons": [ "Limited to the capabilities of FFmpeg and Hyperframes (no advanced effects or compositing)", "Small community and few stars (29) may mean slower updates or less support", "Requires local setup and Python environment management" ], "tags": [ "agent-tools", "ai-agents", "ai-video", "claude", "claude-code", "cli", "cursor", "ffmpeg" ], "featured": false, "tier": "curated", "stars": 29, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/pastorsimon1798/mcp-video", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mediar-ai-screenpipe" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pastorsimon1798-mcp-video" }, { "slug": "pasympa-discord-mcp", "name": "PaSympa/discord-mcp", "vendor": "Various", "tagline": "MCP server to control Discord — messages, channels, roles, permissions, members, and moderation", "description": "An MCP server that lets AI agents interact with Discord through the Model Context Protocol. It exposes tools for sending messages, managing channels, roles, permissions, members, and performing moderation actions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to automate Discord server management through an MCP-compatible AI agent", "useCases": [ "Automate Discord moderation tasks like muting or banning users", "Manage server roles and permissions programmatically", "Send messages or create channels via an AI assistant" ], "pros": [ "Covers a wide range of Discord admin actions in one server", "Written in TypeScript for type safety and easy integration", "Small but functional codebase with 11 stars" ], "cons": [ "Low community adoption and limited documentation", "Requires self-hosting and Discord bot token setup", "May lack advanced features like voice channel control" ], "tags": [ "ai", "automation", "claude", "discord", "discord-bot", "mcp", "model-context-protocol", "typescript" ], "featured": false, "tier": "curated", "stars": 11, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/PaSympa/discord-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "lharries-whatsapp-mcp", "klavis-ai-youtube" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pasympa-discord-mcp" }, { "slug": "patdolitse-piia-engram", "name": "Patdolitse/piia-engram", "vendor": "Various", "tagline": "One memory. Every AI tool. Yours to keep. Local-first, MCP-compatible, Apache 2.0.", "description": "Piia-Engram is a local-first memory layer for AI tools that stores and retrieves context across sessions using an MCP-compatible interface. It runs as a Python service, keeping user data on their own machine under the Apache 2.0 license.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want a private, self-hosted memory layer for MCP-compatible AI tools", "useCases": [ "Persist conversation history across different AI chat interfaces", "Share context between multiple MCP-compatible tools without cloud storage", "Build a private, self-hosted memory backend for AI agents" ], "pros": [ "Local-first design keeps sensitive data on your own machine", "MCP compatibility allows integration with many existing AI tools", "Open source with permissive Apache 2.0 license" ], "cons": [ "Requires Python runtime and manual setup to run", "Limited to MCP-compatible tools, not a universal memory solution", "Small community (161 stars) means fewer examples and support" ], "tags": [ "ai-agent", "ai-identity", "ai-identity-layer", "ai-memory", "anthropic", "claude-code", "claude-desktop", "codex" ], "featured": false, "tier": "curated", "stars": 161, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/Patdolitse/piia-engram", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "topoteretes-cognee", "vectorize-io-hindsight", "upstash-context7" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/patdolitse-piia-engram" }, { "slug": "patrickpalmer-mayamcp", "name": "PatrickPalmer/MayaMCP", "vendor": "Various", "tagline": "Model Context Protocol (MCP) server implementation for Autodesk Maya", "description": "PatrickPalmer/MayaMCP is a Python implementation of the Model Context Protocol (MCP) server for Autodesk Maya. It enables AI agents to send commands and queries to Maya, automating tasks and integrating large language models into 3D pipelines. The server exposes Maya's API through MCP, allowing controlled script execution and scene interrogation.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-assisted 3D content creation tools in Autodesk Maya", "useCases": [ "Automate repetitive modeling, rigging, or animation tasks via natural language prompts", "Integrate AI agents into Maya workflows for scene generation or asset manipulation", "Run custom Python scripts in Maya through an MCP-compatible client" ], "pros": [ "Provides a direct, standardised interface for AI-to-Maya control", "Open-source Python codebase easy to inspect and extend", "Lightweight integration requires only Maya and the MCP server" ], "cons": [ "Dependent on Maya's existing API; complex operations may hit performance limits", "Requires an external MCP client to send requests, adding setup overhead", "Small community and limited documentation beyond the repository" ], "tags": [], "featured": false, "tier": "curated", "stars": 79, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-05-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/PatrickPalmer/MayaMCP", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [ "ahujasid-blender-mcp", "lauriewired-ghidramcp", "mrexodia-ida-pro-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/patrickpalmer-mayamcp" }, { "slug": "patricksys-codebase-context", "name": "PatrickSys/codebase-context", "vendor": "Various", "tagline": "Generate a map of your codebaseto help AI Agents understand your architecture, coding conventions and patterns. Discoverable with Semantic Search", "description": "A TypeScript tool that generates a structured map of a codebase, including architecture, coding conventions, and patterns. It uses semantic search to make the map discoverable for AI agents.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to give AI agents a structured understanding of their codebase's architecture and conventions.", "useCases": [ "Onboarding AI agents to a new codebase by providing a structured context map", "Enabling semantic search across codebase architecture and conventions", "Standardizing codebase documentation for agent-assisted development" ], "pros": [ "Semantic search makes codebase context easily discoverable", "Lightweight TypeScript implementation with low overhead", "Focuses on architecture and conventions, not just file listings" ], "cons": [ "Small community with only 45 stars, limited support", "Requires manual setup and maintenance of the context map", "May not scale well for very large or rapidly changing codebases" ], "tags": [ "ai-agents", "ai-coding", "claude", "code-intelligence", "context-engineering", "copilot", "cursor", "developer-tools" ], "featured": false, "tier": "curated", "stars": 45, "language": [ "TypeScript" ], "lastUpdated": "2026-05-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/PatrickSys/codebase-context", "relations": { "works_in": [ "cursor", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/patricksys-codebase-context" }, { "slug": "paulburgess1357-nvim-mcp", "name": "paulburgess1357/nvim-mcp", "vendor": "Various", "tagline": "MCP server that connects AI agents to your running Neovim instance via msgpack-RPC — no plugins required.", "description": "This MCP server connects AI agents to a running Neovim instance using msgpack-RPC. It requires no Neovim plugins and lets agents read and modify buffers, execute commands, and navigate files.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to integrate AI agents directly into their Neovim editing workflow", "useCases": [ "Let an AI agent edit code in your active Neovim session", "Automate file navigation and buffer management via agent commands", "Execute Neovim commands programmatically from an external AI tool" ], "pros": [ "No Neovim plugins needed, minimal setup", "Direct msgpack-RPC communication is efficient", "Open source with a clear, focused scope" ], "cons": [ "Small community and limited documentation (55 stars)", "Requires a running Neovim instance to connect", "Python dependency may not suit all workflows" ], "tags": [ "ai", "artificial-intelligence", "claude", "claude-code", "codex", "cursor", "large-language-model", "llm" ], "featured": false, "tier": "curated", "stars": 55, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/paulburgess1357/nvim-mcp", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/paulburgess1357-nvim-mcp" }, { "slug": "paulhkang94-markview", "name": "paulhkang94/markview", "vendor": "Various", "tagline": "Native macOS markdown preview + MCP server for Claude Code. Swift/SwiftUI, GFM, Mermaid, syntax highlighting. No Electron.", "description": "A native macOS markdown preview app with an MCP server for Claude Code. Built with Swift/SwiftUI, it supports GitHub Flavored Markdown, Mermaid diagrams, and syntax highlighting. It avoids Electron, offering a lightweight native experience.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "macOS developers using Claude Code who need a native, lightweight markdown preview with diagram support.", "useCases": [ "Preview markdown files with Mermaid diagrams in a native macOS window", "Integrate markdown preview into Claude Code via the MCP server", "View local markdown with syntax highlighting without a browser" ], "pros": [ "Native macOS app with no Electron overhead", "Supports GFM, Mermaid, and syntax highlighting", "Provides an MCP server for Claude Code integration" ], "cons": [ "macOS only, no cross-platform support", "Small community and early-stage project (33 GitHub stars)", "Limited to preview functionality, not a full editor" ], "tags": [ "ai-tools", "claude", "claude-code", "developer-tools", "gfm", "macos", "markdown", "markdown-preview" ], "featured": false, "tier": "curated", "stars": 33, "language": [ "HTML" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/paulhkang94/markview", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/paulhkang94-markview" }, { "slug": "paulieb14-graph-aave-mcp", "name": "PaulieB14/graph-aave-mcp", "vendor": "Various", "tagline": "MCP server for querying AAVE V2/V3/V4 lending and governance data via The Graph — 7 chains across 11 subgraphs (Ethereum, Base, Arbitrum, Polygon, Optimism, Avalanche, Fantom + Gov", "description": "An MCP server that queries AAVE V2/V3/V4 lending and governance data through The Graph. It supports 7 chains (Ethereum, Base, Arbitrum, Polygon, Optimism, Avalanche, Fantom) and 11 subgraphs, including Governance V3.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need real-time AAVE data across multiple chains", "useCases": [ "Integrate AAVE lending positions into an AI agent conversation", "Build a multi-chain dashboard for AAVE protocol metrics", "Trigger alerts based on governance proposal statuses" ], "pros": [ "Covers 7 chains with 11 subgraphs for comprehensive AAVE data", "Uses the MCP protocol for straightforward integration with AI agents", "Written in JavaScript, easy to understand and extend" ], "cons": [ "Only 1 GitHub star indicating early-stage or low community interest", "Relies entirely on The Graph subgraphs which may lag or break", "Limited documentation and support beyond the repository" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/PaulieB14/graph-aave-mcp", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/paulieb14-graph-aave-mcp" }, { "slug": "paulieb14-graph-polymarket-mcp", "name": "PaulieB14/graph-polymarket-mcp", "vendor": "Various", "tagline": "MCP server for Polymarket prediction markets — 31 tools combining The Graph subgraphs + Polymarket REST APIs (Gamma + CLOB) for market search, live prices, order books, trader P&L,", "description": "An MCP server that provides 31 tools for Polymarket prediction markets. It combines data from The Graph subgraphs and Polymarket's Gamma and CLOB REST APIs to offer market search, live prices, order books, trader P&L, open interest, and resolution data.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based applications that need comprehensive Polymarket data", "useCases": [ "Querying Polymarket market data through MCP interfaces", "Analyzing order books and live prices for trading decisions", "Tracking trader profit and loss and open interest metrics" ], "pros": [ "Unifies on-chain subgraph data with off-chain REST APIs in one server", "Provides a broad set of 31 tools for deep market analysis", "Written in JavaScript, making it accessible for many developers" ], "cons": [ "Low star count (2) indicates limited community adoption and testing", "Requires familiarity with the MCP protocol to integrate and use", "Documentation may be sparse due to early-stage project" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/PaulieB14/graph-polymarket-mcp", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/paulieb14-graph-polymarket-mcp" }, { "slug": "paulieb89-govuk-mcp", "name": "paulieb89/govuk-mcp", "vendor": "Various", "tagline": "MCP server for GOV.UK — search, content drill-down, organisations, and postcode lookup. 5 tools, no API key, hosted on Fly.io.", "description": "MCP server that exposes GOV.UK data through five tools for searching content, drilling down into articles, retrieving organisations, and looking up postcodes. Runs on Fly.io with no API key required, simplifying access for developers.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI tools that need to query UK government information", "useCases": [ "Build a chatbot that answers questions about UK government services", "Integrate GOV.UK search into a custom assistant", "Automate postcode lookups for location-based queries" ], "pros": [ "No API key needed, so setup is straightforward", "Direct access to structured UK government data without scraping", "Hosted on Fly.io, providing reliable availability" ], "cons": [ "Limited to only five tools, which may not cover all use cases", "Low community engagement (1 star) suggests potential stability or support concerns", "Only covers GOV.UK content, not other UK public sector data sources" ], "tags": [ "ai-skills", "claude", "fastmcp", "government-data", "govuk", "mcp", "mcp-server", "no-api-key" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/paulieb89/govuk-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/paulieb89-govuk-mcp" }, { "slug": "payclaw-mcp-server", "name": "payclaw/mcp-server", "vendor": "Various", "tagline": "Badge identity + virtual Visa cards for AI agents. MCP-native.", "description": "Provides badge identity and virtual Visa cards for AI agents. Uses the Model Context Protocol (MCP) to enable agent-native payment and identity features. Built in TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that require identity credentials and virtual payment capabilities", "useCases": [ "Issuing virtual Visa cards to AI agents for autonomous payments", "Assigning badge-based identities to agents for authentication", "Integrating MCP-based financial workflows into agent systems" ], "pros": [ "MCP-native design integrates directly with agent ecosystems", "TypeScript codebase is accessible for mainstream development", "Targets a specific need for agent identity and payments" ], "cons": [ "Very early stage with only 1 GitHub star", "Limited community adoption and documentation", "Narrow use case may not suit general-purpose agent tooling" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/payclaw/mcp-server", "relations": { "works_in": [ "cursor", "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/payclaw-mcp-server" }, { "slug": "pcdck-ozon-mcp", "name": "PCDCK/ozon-mcp", "vendor": "Various", "tagline": "MCP-сервер для Ozon Seller API и Performance API — подключите любого AI-агента к кабинету продавца", "description": "MCP server connecting AI agents to Ozon Seller API and Performance API. Written in Python, it exposes Ozon marketplace seller tools through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants for Ozon marketplace sellers", "useCases": [ "Automate product listing updates via AI agent", "Retrieve order and performance data from Ozon", "Connect custom AI assistants to seller cabinet" ], "pros": [ "Open source and free to use", "Standard MCP protocol for broad agent compatibility", "Written in Python, easy to integrate or extend" ], "cons": [ "Very low community adoption (6 stars) suggests limited polish or support", "May lack comprehensive error handling or documentation", "Dependent on Ozon API changes and rate limits" ], "tags": [ "ai-agent", "claude", "ecommerce", "fastmcp", "mcp", "mcp-server", "ozon", "ozon-api" ], "featured": false, "tier": "curated", "stars": 6, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/PCDCK/ozon-mcp", "relations": { "works_in": [ "cline", "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pcdck-ozon-mcp" }, { "slug": "pdavis68-repomapper", "name": "pdavis68/RepoMapper", "vendor": "Various", "tagline": "Continue", "description": "RepoMapper is a tool for mapping and visualizing repository structures. It helps developers understand codebase layouts and dependencies. The tool is available on GitHub from various contributors.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need quick, visual overviews of repository structure for onboarding or refactoring", "useCases": [ "Generate dependency graphs for a codebase", "Visualize directory structures for onboarding", "Analyze repository relationships in monorepos" ], "pros": [ "Open source and free to use", "Simple integration into existing workflows", "Provides clear visualizations of complex repos" ], "cons": [ "Limited documentation or community support", "May not handle very large repositories efficiently", "Requires manual setup for custom mappings" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com.mcas.ms/pdavis68/RepoMapper", "relations": { "works_in": [ "github-repository" ], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pdavis68-repomapper" }, { "slug": "pearch-ai-mcp-pearch", "name": "Pearch-ai/mcp_pearch", "vendor": "Various", "tagline": "The most accurate people search API/MCP. Natural language in, high-quality candidates out. Built for ATSs and AI Agents.", "description": "Pearch-ai/mcp_pearch is a people search API and MCP server that accepts natural language queries and returns high-quality candidate profiles. It is designed for integration with Applicant Tracking Systems (ATS) and AI agents to automate candidate sourcing.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or ATS integrations that need automated people search", "useCases": [ "Search for candidates using natural language job descriptions", "Integrate with an ATS to enrich candidate pipelines", "Power an AI agent to find and rank potential hires" ], "pros": [ "Natural language input reduces query complexity", "Claims high accuracy in candidate matching", "Built specifically for ATS and AI agent workflows" ], "cons": [ "Low GitHub star count (7) suggests early-stage or limited adoption", "Requires MCP-compatible environment or API integration", "No evidence of support for non-people-search use cases" ], "tags": [ "ai", "api", "human-resources", "mcp" ], "featured": false, "tier": "curated", "stars": 7, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/Pearch-ai/mcp_pearch", "relations": { "works_in": [], "uses": [], "built_with": [ "awslabs-mcp" ], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pearch-ai-mcp-pearch" }, { "slug": "peek-travel-mcp-intro", "name": "peek-travel/mcp-intro", "vendor": "Various", "tagline": "☁️ 🍎 🪟 🐧 - Remote MCP Server for discovering and planning experiences, at home and on vacation", "description": "A remote MCP server that helps AI agents discover and plan experiences for home or vacation. It provides structured access to activity and travel data through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI travel or activity recommendation features", "useCases": [ "Integrate travel and activity discovery into AI assistants", "Enable agents to search and recommend local experiences", "Build vacation planning features into chat interfaces" ], "pros": [ "Simple MCP interface for experience data", "Cross-platform support (cloud, macOS, Windows, Linux)", "Open source with permissive license" ], "cons": [ "Very early stage with only 2 GitHub stars", "Limited documentation and community support", "Dependency on external travel data sources" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [], "lastUpdated": "2025-09-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/peek-travel/mcp-intro", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/peek-travel-mcp-intro" }, { "slug": "penfieldlabs-penfield-mcp", "name": "penfieldlabs/penfield-mcp", "vendor": "Various", "tagline": "🧠 Persistent memory for AI Agents. Free trial → https://portal.penfield.app/sign-up", "description": "Penfield MCP provides persistent memory for AI agents via a Model Context Protocol server. It stores and retrieves agent context across sessions using a Docker-based deployment.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a lightweight, open-source memory layer for AI agents", "useCases": [ "Give AI agents long-term memory across conversations", "Store and recall user preferences or session history", "Build context-aware agent workflows with persistent state" ], "pros": [ "Simple Docker setup for quick deployment", "Free trial available for testing", "Open-source with a clear memory-focused API" ], "cons": [ "Low GitHub star count suggests limited community adoption", "Dockerfile-only language may limit customization", "No detailed documentation or examples provided" ], "tags": [ "ai-agent", "ai-memory", "mcp", "mcp-server", "penfield", "persistent-memory" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "Dockerfile" ], "license": "AGPL-3.0", "lastUpdated": "2026-04-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/penfieldlabs/penfield-mcp", "relations": { "works_in": [], "uses": [ "docker" ], "built_with": [], "pairs_with": [], "alternative_to": [ "topoteretes-cognee", "upstash-context7" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/penfieldlabs-penfield-mcp" }, { "slug": "pentagonal-ai-pentagonal", "name": "Pentagonal-ai/pentagonal", "vendor": "Various", "tagline": "Pentagonal-ai/pentagonal — indexed from awesome-mcp-servers-punkpeye", "description": "Pentagonal-ai/pentagonal is a GitHub repository listed in the awesome-mcp-servers collection. It provides an implementation of the Model Context Protocol (MCP) for developer use.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring or building with the Model Context Protocol", "useCases": [ "Setting up an MCP server for AI tool integration", "Building custom workflows with the Model Context Protocol", "Experimenting with MCP-based AI agent architectures" ], "pros": [ "Listed in a curated collection of MCP servers, indicating community validation", "Open source and freely available on GitHub", "Categorized as a developer tool, suggesting a focus on extensibility" ], "cons": [ "Limited documentation or usage examples beyond the repository itself", "May require familiarity with MCP and AI agent frameworks", "Not guaranteed to be production-ready or actively maintained" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/Pentagonal-ai/pentagonal", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "awslabs-mcp", "fastmcp", "browsermcp-mcp" ], "alternative_to": [ "awslabs-mcp", "fastmcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pentagonal-ai-pentagonal" }, { "slug": "pepabo-colormeshop-mcp", "name": "pepabo/colormeshop-mcp", "vendor": "Various", "tagline": "Official remote MCP server for Color Me Shop", "description": "An official remote MCP server for Color Me Shop, a Japanese e-commerce platform. It exposes store data and operations through the Model Context Protocol, enabling AI assistants to interact with shop resources programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants for Japanese e-commerce stores on Color Me Shop", "useCases": [ "Querying product listings and inventory from a Color Me Shop store", "Automating order management tasks via AI assistants", "Integrating custom AI workflows with Color Me Shop data" ], "pros": [ "Official integration ensures compatibility with Color Me Shop", "Remote MCP server reduces local setup complexity", "JavaScript implementation is accessible to many developers" ], "cons": [ "Limited to Color Me Shop platform only", "No community traction yet (0 stars)", "Documentation and examples may be sparse" ], "tags": [ "ai-agent", "colorme", "ecommerce", "mcp", "model-context-protocol", "remote-mcp-server" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/pepabo/colormeshop-mcp", "relations": { "works_in": [ "cline", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pepabo-colormeshop-mcp" }, { "slug": "pepabo-muumuu-domain-mcp", "name": "pepabo/muumuu-domain-mcp", "vendor": "Various", "tagline": "pepabo/muumuu-domain-mcp — indexed from awesome-mcp-servers-punkpeye", "description": "A Model Context Protocol server for domain-related operations, indexed from the awesome-mcp-servers collection. Built with JavaScript, it enables AI assistants to query or manage domain information through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with MCP servers for domain management in AI applications", "useCases": [ "Integrate domain availability checks into AI workflows", "Automate DNS record lookups or updates", "Manage domain registration tasks via MCP" ], "pros": [ "Lightweight JavaScript implementation", "Listed in a curated MCP server directory" ], "cons": [ "No GitHub stars indicates limited adoption or maturity", "No documentation or usage examples provided in this entry" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/pepabo/muumuu-domain-mcp", "relations": { "works_in": [ "claude-code", "cursor", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pepabo-muumuu-domain-mcp" }, { "slug": "perspective-ai-mcp", "name": "Perspective-AI/mcp", "vendor": "Various", "tagline": "MCP server for Perspective AI. An AI Concierge replaces static forms with adaptive AI conversations that understand real situations, structure key information automatically, and tr", "description": "An MCP server that enables an AI Concierge to replace static forms with adaptive conversations. It understands user situations, structures key information automatically, and triggers the appropriate next step. Built primarily in Shell, it integrates with the Model Context Protocol ecosystem.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building conversational interfaces to replace static forms in MCP-compatible environments", "useCases": [ "Replacing static web forms with conversational data collection", "Automating structured data extraction from natural language inputs", "Triggering downstream workflows based on conversation outcomes" ], "pros": [ "Replaces rigid forms with flexible, adaptive conversations", "Automatically extracts structured information from user input", "Integrates with MCP-compatible clients and tools" ], "cons": [ "Limited community adoption (4 stars on GitHub)", "Requires an MCP-compatible client to function", "Shell-based codebase may be less accessible for some developers" ], "tags": [ "advocate", "analysis", "concierge", "conversational-ai", "evaluator", "forms", "interviewer", "interviews" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "Shell" ], "license": "MIT", "lastUpdated": "2026-04-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/Perspective-AI/mcp", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/perspective-ai-mcp" }, { "slug": "peter-j-thompson-semanticapi-mcp", "name": "peter-j-thompson/semanticapi-mcp", "vendor": "Various", "tagline": "MCP server for Semantic API — discover and call any API using natural language", "description": "An MCP server that allows users to discover and call any API using natural language. It provides a semantic layer that maps natural language queries to API endpoints, enabling interaction without prior knowledge of the API documentation.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-powered tools that need to interact with many APIs via natural language, or those prototyping API-driven workflows.", "useCases": [ "Query APIs using natural language without reading documentation", "Automate API integration tasks in AI agents", "Prototype and test API calls quickly via conversational interface" ], "pros": [ "Natural language interface reduces the learning curve for unfamiliar APIs", "Leverages the MCP standard for seamless integration with AI tools", "Supports a wide range of REST APIs through semantic discovery" ], "cons": [ "Accuracy of natural language interpretation may vary across different APIs", "Requires well-defined API documentation or semantic annotations to function reliably", "Limited community validation and adoption given zero stars on GitHub" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "lastUpdated": "2026-02-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/peter-j-thompson/semanticapi-mcp", "relations": { "works_in": [ "claude-code", "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/peter-j-thompson-semanticapi-mcp" }, { "slug": "peterbeck111-knowledgelib-io", "name": "peterbeck111/knowledgelib-io", "vendor": "Various", "tagline": "peterbeck111/knowledgelib-io — indexed from awesome-mcp-servers-punkpeye", "description": "A repository indexed from the awesome-mcp-servers-punkpeye collection. It is written in HTML and likely serves as a landing page or documentation for a knowledge library integration under the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers browsing MCP server lists for potential knowledge library integrations", "useCases": [ "Discovering MCP server options for knowledge library access", "Referencing a listed resource in MCP server directories", "Evaluating minimal implementations or static representations of MCP services" ], "pros": [ "Listed in a curated collection of MCP servers, aiding discoverability", "Simple HTML structure may be easy to inspect or modify" ], "cons": [ "Zero stars and no visible activity suggest limited adoption or maintenance", "Lack of documentation or code makes it hard to assess functionality", "HTML alone is unlikely to represent a functional server without additional context" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "HTML" ], "license": "MIT", "lastUpdated": "2026-05-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/peterbeck111/knowledgelib-io", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/peterbeck111-knowledgelib-io" }, { "slug": "peturgeorgievv-factory-postfast-mcp", "name": "peturgeorgievv-factory/postfast-mcp", "vendor": "Various", "tagline": "peturgeorgievv-factory/postfast-mcp — indexed from awesome-mcp-servers-punkpeye", "description": "A TypeScript Model Context Protocol server providing a foundational implementation for AI tool integrations. It follows the MCP standard to enable communication between AI assistants and external data sources or services.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring Model Context Protocol server implementations", "useCases": [ "Creating custom MCP tools for AI assistants", "Integrating AI chat interfaces with external APIs", "Prototyping MCP-based server applications" ], "pros": [ "Written in TypeScript for type safety and modern tooling", "Adheres to the MCP standard for broad compatibility", "Lightweight and focused on core protocol functionality" ], "cons": [ "Very early stage with only 1 star on GitHub", "Limited documentation and community support", "Unclear specific use cases or feature set beyond the protocol" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/peturgeorgievv-factory/postfast-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp", "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/peturgeorgievv-factory-postfast-mcp" }, { "slug": "pfillion42-memviz", "name": "pfillion42/memviz", "vendor": "Various", "tagline": "A local vector memory explorer with a modern UI. Browse, search, visualize and manage SQLite-vec databases from MCP Memory Service.", "description": "A local vector memory explorer with a modern UI. It lets you browse, search, visualize and manage SQLite-vec databases from MCP Memory Service.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers working with MCP Memory Service who need a GUI to explore and manage vector memory databases", "useCases": [ "Exploring and inspecting vector memory databases locally", "Searching and visualizing embeddings stored in SQLite-vec", "Managing MCP Memory Service databases through a graphical interface" ], "pros": [ "Provides a visual interface for vector databases that are otherwise command-line only", "Built with TypeScript for type safety and maintainability", "Integrates directly with MCP Memory Service" ], "cons": [ "No stars or community traction yet, indicating early stage", "Limited to SQLite-vec databases from MCP Memory Service", "Requires local setup and running the tool" ], "tags": [ "claude-code", "express", "mcp", "memory", "react", "sqlite-vec", "typescript", "umap" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-02-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/pfillion42/memviz", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "topoteretes-cognee", "vectorize-io-hindsight" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pfillion42-memviz" }, { "slug": "pghdma-callrail-mcp", "name": "pghdma/callrail-mcp", "vendor": "Various", "tagline": "Model Context Protocol (MCP) server for the CallRail REST API v3 — query calls, form submissions, transcripts, and more from Claude Code, Claude Desktop, Cursor, or any MCP client.", "description": "This is an open-source Model Context Protocol server that wraps the CallRail REST API v3. It enables Claude Desktop, Cursor, and other MCP clients to query call logs, form submissions, transcripts, and related data using natural language or structured prompts.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Python developers who want to query CallRail telephony data from AI assistants or code editors", "useCases": [ "Pull call recordings and transcripts into Claude for analysis", "Query form submission data directly from an AI code editor", "Build automated workflows that fetch CallRail metrics on demand" ], "pros": [ "Works with multiple MCP clients including Claude Desktop and Cursor", "Provides structured access to CallRail's API without writing custom code", "Open-source Python codebase easy to inspect and extend" ], "cons": [ "Requires self-hosting the MCP server and managing credentials", "Relies entirely on CallRail API v3 availability and rate limits", "Zero stars on GitHub suggests minimal testing or community validation" ], "tags": [ "agency-tools", "ai-tools", "anthropic", "call-analytics", "call-tracking", "callrail", "claude", "claude-code" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/pghdma/callrail-mcp", "relations": { "works_in": [ "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pghdma-callrail-mcp" }, { "slug": "pgtuner-mcp", "name": "pgtuner_mcp", "vendor": "Various", "tagline": "provides AI-powered PostgreSQL performance tuning capabilities.", "description": "pgtuner_mcp is a Python-based MCP server that analyzes PostgreSQL query plans and configuration to suggest performance improvements. It connects to a PostgreSQL database, retrieves slow queries and configuration settings, and returns tuning recommendations.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and DBAs who want automated PostgreSQL tuning suggestions via MCP", "useCases": [ "Identify and optimize slow PostgreSQL queries", "Get configuration tuning suggestions for PostgreSQL", "Automate performance review in CI/CD pipelines" ], "pros": [ "Directly integrates with PostgreSQL for real-time analysis", "Lightweight Python implementation with MCP protocol", "Open source with active community contributions" ], "cons": [ "Limited to PostgreSQL databases only", "Requires database credentials and network access", "Small user base may mean fewer tested scenarios" ], "tags": [ "ai", "mcp-server", "python", "python3" ], "featured": false, "tier": "curated", "stars": 24, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/isdaniel/pgtuner_mcp", "relations": { "works_in": [ "cursor", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pgtuner-mcp" }, { "slug": "pharaoh-so-pharaoh", "name": "Pharaoh-so/pharaoh", "vendor": "Various", "tagline": "Pharaoh-so/pharaoh — indexed from awesome-mcp-servers-punkpeye", "description": "Pharaoh-so/pharaoh is an MCP server hosted on GitHub and indexed in the awesome-mcp-servers collection. It is categorized as a developer tool, providing a server that implements the Model Context Protocol for integrating with AI models. Specific functionality beyond this is not detailed in the available metadata.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers seeking an open-source MCP server for experimentation or integration", "useCases": [ "Running an MCP server for AI model tool-use", "Exploring MCP server implementations as a reference", "Prototyping AI integrations that require a custom server" ], "pros": [ "Open source and available on GitHub", "Listed in a curated collection of MCP servers", "Community-driven with potential for contributions" ], "cons": [ "Limited documentation and usage guidance", "Unknown production-readiness or stability", "Specific features and scope are not described beyond the index listing" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/0xUXDesign/pharaoh-mcp", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pharaoh-so-pharaoh" }, { "slug": "phisanti-mcpr", "name": "phisanti/MCPR", "vendor": "Various", "tagline": "MCPR enables AI agents to participate in interactive R sessions for professional analysis workflows.", "description": "MCPR is a tool that allows AI agents to engage in interactive R sessions, enabling automated or assisted execution of R code for data analysis. It is built using HTML and has 25 stars on GitHub, indicating a small community.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers prototyping AI-driven R analysis assistants", "useCases": [ "Automating repetitive R analysis workflows", "Enabling AI agents to perform interactive data exploration in R", "Integrating AI assistance into professional R-based analytics pipelines" ], "pros": [ "Enables AI agents to directly interact with R, a core statistical tool", "Facilitates interactive, real-time analysis loops", "Open source with potential for customization" ], "cons": [ "Very low adoption (25 stars) suggesting limited testing and community", "Built in HTML may limit performance or integration options", "Lacks extensive documentation or examples" ], "tags": [ "data-analysis", "mcp", "mcp-server", "r" ], "featured": false, "tier": "curated", "stars": 25, "language": [ "HTML" ], "license": "CC-BY-SA-4.0", "lastUpdated": "2026-03-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/phisanti/MCPR", "relations": { "works_in": [], "uses": [], "built_with": [ "awslabs-mcp" ], "pairs_with": [ "pydantic-pydantic-ai-mcp-run-python" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/phisanti-mcpr" }, { "slug": "philrox-ris-mcp-ts", "name": "philrox/ris-mcp-ts", "vendor": "Various", "tagline": "MCP Server for the Austrian Legal Information System (RIS) - Access Austrian federal laws, state laws, court decisions and more", "description": "A Model Context Protocol server that provides access to the Austrian Legal Information System (RIS). It enables retrieval of federal laws, state laws, and court decisions through a standardized MCP interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building legal research tools or AI assistants that need Austrian law data", "useCases": [ "Query Austrian federal and state legislation via MCP-compatible clients", "Retrieve court decisions from the RIS database programmatically", "Integrate Austrian legal data into AI assistants or legal research tools" ], "pros": [ "Direct access to official Austrian legal data without scraping", "Standard MCP protocol makes it easy to integrate with various clients", "Written in TypeScript for type safety and maintainability" ], "cons": [ "Limited to Austrian legal sources only", "Very small community (3 stars) with minimal documentation", "Requires understanding of MCP protocol to use effectively" ], "tags": [ "austria", "claude", "law", "legal", "mcp", "model-context-protocol", "ris", "typescript" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/philrox/ris-mcp-ts", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/philrox-ris-mcp-ts" }, { "slug": "phononx-cv-mcp-server", "name": "PhononX/cv-mcp-server", "vendor": "Various", "tagline": "Carbon Voice MCP Server", "description": "A Model Context Protocol (MCP) server for the Carbon Voice API. It enables AI agents to handle voice interactions through the standard MCP interface, supporting voice commands and responses.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to add voice capabilities to MCP-based AI agents", "useCases": [ "Integrate voice commands into AI agent workflows", "Enable voice response generation via MCP", "Connect Carbon Voice API to MCP-compatible clients" ], "pros": [ "Written in TypeScript for type safety and reliability", "Open source with permissive license for customization", "Follows MCP standard for interoperability with various AI agents" ], "cons": [ "Low GitHub stars (7) indicate limited community adoption", "Dependency on Carbon Voice API, which may have its own limitations", "Likely sparse documentation due to low activity" ], "tags": [], "featured": false, "tier": "curated", "stars": 7, "language": [ "TypeScript" ], "lastUpdated": "2026-04-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/PhononX/cv-mcp-server", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/phononx-cv-mcp-server" }, { "slug": "phpcodearcheology-phpcodearcheology", "name": "PhpCodeArcheology/PhpCodeArcheology", "vendor": "Various", "tagline": "PHP static analysis for architecture & maintainability — 60+ metrics, complexity analysis, dependency graphs, git churn hotspots, and AI-ready MCP server. Alternative to PHPMetrics", "description": "PHP static analysis tool that measures architecture and maintainability. It calculates over 60 metrics including complexity, dependency graphs, and git churn hotspots. It also offers an MCP server for AI tool integration.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "PHP developers and teams focused on code maintainability and architecture quality.", "useCases": [ "Analyze code complexity and structural quality", "Identify maintenance hotspots via git churn", "Generate dependency graphs for architecture review" ], "pros": [ "Comprehensive metric set with 60+ analysis dimensions", "Includes git churn analysis to highlight risky code", "Provides MCP server for AI integration" ], "cons": [ "Stars count relatively low (77) indicating limited community adoption", "Only available in PHP language, not for other stacks", "May require setup effort compared to simpler tools" ], "tags": [ "architecture", "ast", "code-analysis", "code-metrics", "code-quality", "complexity", "developer-tools", "maintainability" ], "featured": false, "tier": "curated", "stars": 77, "language": [ "PHP" ], "license": "MIT", "lastUpdated": "2026-05-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/PhpCodeArcheology/PhpCodeArcheology", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/phpcodearcheology-phpcodearcheology" }, { "slug": "phungxuananh-selenium-mcp-server", "name": "PhungXuanAnh/selenium-mcp-server", "vendor": "Various", "tagline": "🐍 🏠 🍎 🪟 🐧 - A Model Context Protocol server providing web automation capabilities through Selenium WebDriver", "description": "A Python Model Context Protocol server that exposes browser automation capabilities via Selenium WebDriver. It lets MCP clients control browsers for tasks like navigation, form filling, and data extraction using a standard protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Python developers building MCP-enabled AI agents that need to perform browser-based tasks", "useCases": [ "Automating browser interactions from AI agents via MCP", "Extracting data from dynamic or JavaScript-rendered web pages", "Running multi-step web workflows in headless or headed mode" ], "pros": [ "Cross-platform support (Linux, macOS, Windows) for automated browser control", "Integrates with AI frameworks through the Model Context Protocol", "Leverages mature, widely used Selenium WebDriver library" ], "cons": [ "Small community and limited documentation (only 9 GitHub stars)", "Requires manual installation of browser drivers and Selenium setup", "Selenium-based automation is slower than lightweight headless approaches" ], "tags": [], "featured": false, "tier": "curated", "stars": 9, "language": [ "Python" ], "lastUpdated": "2026-05-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/PhungXuanAnh/selenium-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "executeautomation-playwright-mcp-server", "browsermcp-mcp", "agent-infra-mcp-server-browser" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/phungxuananh-selenium-mcp-server" }, { "slug": "phuongrealmax-code-guardian", "name": "phuongrealmax/code-guardian", "vendor": "Various", "tagline": "Code Guardian Studio – AI-powered code refactor engine for large repositories, built on Claude Code + MCP.", "description": "Code Guardian Studio is a code refactoring engine designed for large repositories. It uses Claude Code and the Model Context Protocol to analyze and modify code across multiple files.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers seeking AI-assisted refactoring for large codebases who are already using Claude Code", "useCases": [ "Automating large-scale code refactors across a repository", "Improving code quality by applying consistent patterns", "Migrating legacy code to modern standards with AI assistance" ], "pros": [ "Leverages Claude Code for context-aware refactoring across files", "Built on MCP for extensible tool integration", "Focused on handling large repositories efficiently" ], "cons": [ "Very early stage with only 5 GitHub stars and limited community", "Relies on proprietary Claude Code service which may have costs", "Requires understanding of MCP setup and configuration" ], "tags": [ "ai-tools", "claude-code", "code-quality", "code-refactoring", "mcp", "mcp-server", "model-context-protocol", "technical-debt" ], "featured": false, "tier": "curated", "stars": 5, "language": [ "TypeScript" ], "lastUpdated": "2025-12-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/phuongrealmax/code-guardian", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/phuongrealmax-code-guardian" }, { "slug": "pi22by7-in-memoria", "name": "pi22by7/In-Memoria", "vendor": "Various", "tagline": "Persistent Intelligence Infrastructure for AI Agents", "description": "In-Memoria is a Rust-based persistent intelligence infrastructure for AI agents. It provides a framework for agents to store and retrieve state across sessions, enabling long-term memory and context retention.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Rust developers building AI agents that require persistent memory and state management", "useCases": [ "Building AI agents that need persistent memory across interactions", "Implementing stateful agent workflows with Rust", "Creating infrastructure for agent context retention" ], "pros": [ "Written in Rust for performance and safety", "Focuses on a specific need: persistent agent memory", "Open source with community visibility (168 stars)" ], "cons": [ "Relatively low adoption may mean limited community support", "Rust dependency narrows the audience of potential users", "Early-stage project with potential for breaking changes" ], "tags": [ "ai-agents", "ai-tools", "codebase-intelligence", "developer-tools", "local-first", "mcp-server", "persistent-memory" ], "featured": false, "tier": "curated", "stars": 168, "language": [ "Rust" ], "license": "MIT", "lastUpdated": "2025-12-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/pi22by7/In-Memoria", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "topoteretes-cognee" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pi22by7-in-memoria" }, { "slug": "pibblokto-cert-manager-mcp-server", "name": "pibblokto/cert-manager-mcp-server", "vendor": "Various", "tagline": "MCP Server for cert-manager", "description": "The pibblokto/cert-manager-mcp-server is an MCP (Model Context Protocol) server that connects AI agents to cert-manager on Kubernetes. It enables natural language or tool-based management of TLS certificates, issuers, and related resources. The server is written in Python and provides a bridge between AI assistants and Kubernetes certificate operations.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "DevOps teams who want to manage Kubernetes certificate lifecycles through AI assistants", "useCases": [ "Automate certificate issuance and renewal in a Kubernetes cluster", "Query certificate status, expiration dates, and issuer details via AI", "Create, update, or delete Certificate and Issuer resources through conversational interfaces" ], "pros": [ "Enables cert-manager operations directly from MCP-compatible AI tools", "Lightweight and open-source implementation in Python", "Active development with community contributions" ], "cons": [ "Requires a running Kubernetes cluster with cert-manager installed", "Limited documentation and small user base (24 stars on GitHub)", "Potential security risks when granting AI agents access to certificate management" ], "tags": [], "featured": false, "tier": "curated", "stars": 24, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2025-08-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/pibblokto/cert-manager-mcp-server", "relations": { "works_in": [ "cursor", "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pibblokto-cert-manager-mcp-server" }, { "slug": "picahq-mcp", "name": "picahq/mcp", "vendor": "Various", "tagline": "🎖️ 🦀 📇 ☁️ - One MCP for all your integrations — powered by [Pica](https://www.picaos.com), the infrastructure for intelligent, collaborative agents.", "description": "picahq/mcp provides a single Model Context Protocol (MCP) server that aggregates multiple third-party integrations into one interface. It uses Pica's infrastructure to manage connections and authentication, allowing AI agents to interact with various services through a unified protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building multi-service AI agents who want a unified integration layer", "useCases": [ "Connect AI agents to multiple external APIs via one MCP server", "Simplify integration management for agent workflows", "Standardize access to services like databases, messaging, or file storage" ], "pros": [ "Reduces complexity by consolidating many integrations into a single MCP", "Leverages Pica's infrastructure for reliable connection handling", "Open-source and community-driven, enabling custom extensions" ], "cons": [ "Dependency on Pica's infrastructure may introduce latency or availability risks", "Integration coverage depends on community contributions and may be limited", "Requires familiarity with MCP protocol and configuration for each service" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/picahq/mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "pipedreamhq-pipedream" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/picahq-mcp" }, { "slug": "pickelfintech-sentisift-sdks", "name": "pickelfintech/sentisift-sdks", "vendor": "Various", "tagline": "Official Python, TypeScript, and MCP-server clients for the SentiSift API.", "description": "Provides official Python, TypeScript, and MCP-server client libraries for the SentiSift API. These SDKs handle authentication and request formatting so developers can integrate SentiSift functionality into their applications.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a ready-to-use client for the SentiSift API in Python, TypeScript, or MCP environments", "useCases": [ "Integrating SentiSift API into Python or TypeScript projects", "Setting up server-side integrations via the MCP-server client", "Building applications that consume SentiSift's services" ], "pros": [ "Multi-language support (Python, TypeScript, MCP-server)", "Official client ensures compatibility with the SentiSift API", "Pre-built request formatting reduces boilerplate code" ], "cons": [ "Zero GitHub stars suggests early-stage or low community adoption", "Requires active internet connection to the SentiSift API", "Dependent on SentiSift API version and availability" ], "tags": [ "bot-detection", "comment-moderation", "content-moderation", "mcp-server", "model-context-protocol", "multilingual", "nlp", "nodejs-sdk" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/pickelfintech/sentisift-sdks/tree/main/mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pickelfintech-sentisift-sdks" }, { "slug": "pickelfintech-the13f-mcp", "name": "pickelfintech/the13f-mcp", "vendor": "Various", "tagline": "Institutional 13F intelligence for Claude Desktop, Cursor, and VS Code. Nine Read tools: manager search, holdings, similarity, regime, sector flows.", "description": "An MCP server that provides institutional 13F filing data to AI coding assistants like Claude Desktop, Cursor, and VS Code. It offers nine read-only tools for querying manager holdings, searching managers, analyzing portfolio similarity, detecting market regimes, and tracking sector flows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and quants who need institutional portfolio data inside their AI coding assistant", "useCases": [ "Querying hedge fund holdings and manager search from within an IDE", "Comparing portfolio similarity across institutional investors", "Analyzing sector flow trends and market regime data" ], "pros": [ "Integrates directly with popular AI coding tools via MCP", "Provides specialized 13F data not commonly available in standard APIs", "Read-only tools reduce risk of accidental data modification" ], "cons": [ "Requires Python environment and MCP client setup", "Limited to 13F filings, not covering other asset classes or global markets", "No write or update capabilities, purely a data retrieval tool" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "lastUpdated": "2026-04-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/pickelfintech/the13f-mcp", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pickelfintech-the13f-mcp" }, { "slug": "pierrebrunelle-mcp-server-openai", "name": "pierrebrunelle/mcp-server-openai", "vendor": "Various", "tagline": "Query OpenAI models directly from Claude using MCP protocol.", "description": "This tool is an MCP server that lets Claude query OpenAI models directly. It implements the Model Context Protocol to bridge Claude with OpenAI's API. Users can send prompts from Claude and receive responses from OpenAI models.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to combine OpenAI and Claude models in a single workflow", "useCases": [ "Integrating OpenAI models into Claude workflows", "Comparing responses from different AI models side by side", "Leveraging OpenAI's capabilities within Claude's interface" ], "pros": [ "Enables direct access to OpenAI models from Claude", "Uses standard MCP protocol for easy integration", "Open source with 81 GitHub stars" ], "cons": [ "Requires running a separate server process", "Adds latency due to API calls", "Dependent on both OpenAI and Claude API availability" ], "tags": [], "featured": false, "tier": "curated", "stars": 81, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2024-11-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/pierrebrunelle/mcp-server-openai", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pierrebrunelle-mcp-server-openai" }, { "slug": "piiiico-proof-of-commitment", "name": "piiiico/proof-of-commitment", "vendor": "Various", "tagline": "Supply chain risk scorer for npm and PyPI — single-maintainer CRITICAL flags before attacks happen", "description": "Proof of Commitment is a supply chain risk scorer for npm and PyPI packages. It flags single-maintainer packages marked as CRITICAL before attacks occur, using TypeScript to analyze maintainer risk.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and security teams vetting dependencies in npm or PyPI projects", "useCases": [ "Audit npm dependencies for single-maintainer critical packages", "Scan PyPI packages for supply chain risk before deployment", "Integrate risk scoring into CI/CD pipelines" ], "pros": [ "Proactive risk detection for single-maintainer critical packages", "Supports both npm and PyPI ecosystems", "Lightweight TypeScript implementation" ], "cons": [ "Limited to single-maintainer risk, not broader supply chain threats", "Only 5 GitHub stars, indicating early-stage adoption", "No clear update frequency or maintenance guarantees" ], "tags": [ "audit", "cargo", "cli", "dependencies", "github-action", "go", "golang", "mcp" ], "featured": false, "tier": "curated", "stars": 5, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/piiiico/proof-of-commitment", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/piiiico-proof-of-commitment" }, { "slug": "pilat-mcp-datalink", "name": "pilat/mcp-datalink", "vendor": "Various", "tagline": "MCP server for secure database access (PostgreSQL, MySQL, SQLite)", "description": "pilat/mcp-datalink is an MCP server that provides secure database access to PostgreSQL, MySQL, and SQLite databases. It implements the Model Context Protocol to enable large language models and other MCP clients to interact with these databases through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a lightweight, standardized MCP server for secure database access in AI agent or LLM workflows", "useCases": [ "Connecting AI assistants to relational databases for natural language queries", "Standardizing database access across multiple MCP-compatible applications", "Performing read and write operations on PostgreSQL, MySQL, or SQLite via a single protocol" ], "pros": [ "Supports three major relational databases (PostgreSQL, MySQL, SQLite)", "TypeScript codebase offers type safety and broad developer familiarity", "Uses the MCP standard for easy integration with many LLM tools" ], "cons": [ "Very low GitHub stars indicate minimal community adoption and limited support", "Only relational databases are supported, no NoSQL or cloud data sources", "Requires an MCP client to be used, adding a dependency on a still-maturing ecosystem" ], "tags": [ "database", "mcp", "model-context-protocol", "mysql", "postgresql", "sqlite" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/pilat/mcp-datalink", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb", "haris-musa-excel-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pilat-mcp-datalink" }, { "slug": "pinecone-io-assistant-mcp", "name": "pinecone-io/assistant-mcp", "vendor": "Various", "tagline": "Pinecone Assistant MCP server", "description": "The Pinecone Assistant MCP server is an open-source Rust implementation of the Model Context Protocol for Pinecone Assistant. It enables MCP-compatible AI clients, such as Claude Desktop, to query and interact with Pinecone indexes through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a performant, standards-based bridge between AI assistants and Pinecone vector databases", "useCases": [ "Connect AI assistants to Pinecone vector databases for retrieval-augmented generation", "Enable semantic search features in MCP-enabled tools and agents", "Build knowledge base integrations that leverage Pinecone’s indexing and querying capabilities" ], "pros": [ "Rust-based for performance and low resource consumption", "Adheres to the MCP standard, promoting interoperability with multiple clients", "Lightweight and easy to deploy for users already familiar with Pinecone" ], "cons": [ "Low community adoption (43 stars) signals limited real-world testing and support", "Early-stage project with sparse documentation and potential stability issues", "Requires familiarity with both Pinecone Assistant and the MCP protocol to use effectively" ], "tags": [], "featured": false, "tier": "curated", "stars": 43, "language": [ "Rust" ], "license": "MIT", "lastUpdated": "2025-04-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/pinecone-io/assistant-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "vectorize-io-hindsight", "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pinecone-io-assistant-mcp" }, { "slug": "pingfyr-mcp", "name": "Pingfyr/mcp", "vendor": "Various", "tagline": "MCP server for Pingfyr — schedule reminders from Claude and AI agents", "description": "Pingfyr/mcp is an MCP server that lets Claude and other AI agents schedule reminders. It connects AI assistants to a reminder system so they can create time-based alerts on behalf of a user.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to give Claude or other MCP-compatible agents the ability to schedule reminders.", "useCases": [ "Ask an AI agent to set a reminder for a meeting or deadline", "Automate follow-up reminders from a chat conversation", "Integrate scheduled alerts into a custom AI workflow" ], "pros": [ "Enables AI agents to perform a concrete time-based action", "Simple JavaScript implementation with standard MCP protocol", "Open source and easy to self-host or extend" ], "cons": [ "Zero stars and no community traction yet", "Limited to reminder scheduling with no other calendar features", "Requires running a separate MCP server alongside the AI agent" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/Pingfyr/mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [ "eyaltoledano-claude-task-master" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pingfyr-mcp" }, { "slug": "pipeboard-co-meta-ads-mcp", "name": "pipeboard-co/meta-ads-mcp", "vendor": "Various", "tagline": "MCP server to manage Facebook and Instagram Ads (Meta Ads)", "description": "This is an MCP (Model Context Protocol) server written in Python that provides programmatic access to Facebook and Instagram Ads management. It allows AI assistants and automation tools to read, create, and modify Meta Ads campaigns via the standard MCP interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants or automation that need to control Meta Ads programmatically.", "useCases": [ "Automate ad campaign creation and updates from natural language prompts", "Retrieve performance metrics and status of existing Meta Ads campaigns", "Integrate Meta Ads management into custom AI workflow tools or chatbots" ], "pros": [ "Open source with 952 GitHub stars indicates community interest", "Follows the Model Context Protocol for interoperability with MCP clients", "Python-based, making it easy to extend or debug for developers" ], "cons": [ "Requires Meta Ads API credentials and app review, adding setup overhead", "Dependent on MCP ecosystem; not usable outside MCP-compatible clients", "Documentation and examples may be limited for complex campaign configurations" ], "tags": [], "featured": false, "tier": "curated", "stars": 952, "language": [ "Python" ], "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/pipeboard-co/meta-ads-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pipeboard-co-meta-ads-mcp" }, { "slug": "pipedreamhq-pipedream", "name": "PipedreamHQ/pipedream", "vendor": "Various", "tagline": "Connect APIs, remarkably fast. Free for developers.", "description": "An open-source integration platform for connecting APIs and building workflows. Developers use triggers and actions to automate tasks across apps in JavaScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need fast, low-code API connections and workflow automation", "useCases": [ "Automating multi-step API workflows", "Syncing data between SaaS tools", "Prototyping integrations without writing boilerplate" ], "pros": [ "Free for developers with generous limits", "Large library of pre-built integrations", "Open source with 11k+ GitHub stars" ], "cons": [ "Steep learning curve for event-driven model", "Not designed for high-scale enterprise pipelines", "Debugging can be tricky without local execution" ], "tags": [ "apis", "automation", "bash", "cli", "data-flow", "event-sourcing", "eventsourcing", "golang" ], "featured": false, "tier": "curated", "stars": 11417, "language": [ "JavaScript" ], "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/PipedreamHQ/pipedream/tree/master/modelcontextprotocol", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pipedreamhq-pipedream" }, { "slug": "pipepie-pipepie", "name": "pipepie/pipepie", "vendor": "Various", "tagline": "Self-hosted encrypted tunnel for webhooks, AI pipelines, and local development. End-to-end Noise encryption, pipeline tracing, web dashboard, MCP server for AI tools.", "description": "Pipepie is a self-hosted encrypted tunnel for webhooks, AI pipelines, and local development. It uses end-to-end Noise encryption, provides pipeline tracing and a web dashboard, and includes an MCP server for AI tool integration.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a secure, self-hosted tunnel for webhooks or AI pipelines with observability", "useCases": [ "Expose local webhook endpoints securely to the internet", "Route and trace AI pipeline data between services", "Connect local development servers to remote AI tools via MCP" ], "pros": [ "End-to-end encryption with Noise protocol for secure tunneling", "Built-in pipeline tracing and web dashboard for monitoring", "Self-hosted, giving full control over data and infrastructure" ], "cons": [ "Small community and limited documentation due to early stage", "Requires self-hosting and maintenance of the tunnel server", "Go runtime dependency may add overhead for simple use cases" ], "tags": [ "ai-pipeline", "cli", "developer-tools", "devtools", "encryption", "golang", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 7, "language": [ "Go" ], "license": "AGPL-3.0", "lastUpdated": "2026-04-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/pipepie/pipepie", "relations": { "works_in": [], "uses": [ "docker" ], "built_with": [], "pairs_with": [ "pipedreamhq-pipedream" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pipepie-pipepie" }, { "slug": "piquesignal-piquesignal-mcp", "name": "piquesignal/piquesignal-mcp", "vendor": "Various", "tagline": "piquesignal/piquesignal-mcp — indexed from awesome-mcp-servers-punkpeye", "description": "piquesignal-mcp is a Model Context Protocol server from the awesome-mcp-servers collection. It implements the MCP specification to interface with piquesignal's functionality, enabling AI assistants to access that functionality through standardized tools and resources.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who use piquesignal and want to expose it through MCP to AI assistants", "useCases": [ "Connecting piquesignal services to MCP-compatible AI agents", "Automating piquesignal tasks via natural language commands", "Integrating piquesignal data into AI-driven workflows" ], "pros": [ "Built on the open MCP standard for broad compatibility", "Open source and available for inspection or modification", "Listed in a curated set of community MCP servers" ], "cons": [ "Utility depends entirely on piquesignal's undocumented features", "Lacks detailed documentation beyond the repository", "May require extra setup to connect to piquesignal's specific APIs" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/piquesignal/piquesignal-mcp", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/piquesignal-piquesignal-mcp" }, { "slug": "pkotecha-eng-aria-mcp-server", "name": "pkotecha-eng/aria-mcp-server", "vendor": "Various", "tagline": "ARIA Clinical Research MCP Server — exposes PubMed, ClinicalTrials.gov & ISRCTN as MCP tools. Any Claude agent can search 35M+ biomedical papers and 400K+ clinical trials in real t", "description": "A Python-based MCP server that connects Claude agents to PubMed, ClinicalTrials.gov, and ISRCTN. It provides real-time search across 35 million biomedical papers and 400,000 clinical trials through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building Claude agents that need to query clinical research and biomedical literature in real time.", "useCases": [ "Searching biomedical literature for systematic reviews or meta-analyses", "Querying clinical trial registries for recruitment status or results", "Integrating real-time medical research retrieval into Claude-based workflows" ], "pros": [ "Direct access to authoritative biomedical databases without API keys", "Real-time search across millions of records", "Simple MCP integration for Claude agents" ], "cons": [ "Limited to three specific databases (no general web search)", "No built-in caching or rate limiting for repeated queries", "Single maintainer with low community adoption (1 star)" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/pkotecha-eng/aria-mcp-server", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pkotecha-eng-aria-mcp-server" }, { "slug": "plagtech-spraay-x402-mcp", "name": "plagtech/spraay-x402-mcp", "vendor": "Various", "tagline": "MCP server for Spraay x402 Gateway —33 paid tools for onchain data, AI models & batch payments on Base", "description": "An MCP server that exposes 33 paid tools from the Spraay x402 Gateway for onchain data, AI models, and batch payments on the Base network. It is written in JavaScript and designed for developers to integrate these capabilities into their workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building on Base who need a unified API for onchain data, AI, and payments.", "useCases": [ "Fetching onchain data from Base for analytics or monitoring", "Running AI models through the gateway's paid endpoints", "Processing batch payments on Base via the x402 protocol" ], "pros": [ "Covers a wide range of 33 tools in one server", "Focused on the Base ecosystem, eliminating cross-chain complexity", "MCP protocol allows easy integration with compatible clients" ], "cons": [ "Zero stars on GitHub, indicating limited community validation or early stage", "All tools are paid, so costs can add up quickly", "Tied to Base network, not useful for other blockchains" ], "tags": [ "ai-agents", "base", "crypto", "defi", "mcp", "mcp-server", "payments", "usdc" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/plagtech/spraay-x402-mcp", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/plagtech-spraay-x402-mcp" }, { "slug": "planetscale-mcp", "name": "planetscale/mcp", "vendor": "Various", "tagline": "The CLI for PlanetScale Database", "description": "The PlanetScale CLI with a Model Context Protocol (MCP) server for AI agent integration. It enables AI tools to query databases, manage schema branches, and execute deployments. The MCP server exposes PlanetScale operations through a standardized protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using PlanetScale who want AI agents to manage database operations", "useCases": [ "Query PlanetScale databases from AI coding assistants", "Automate database schema migrations via MCP", "Manage database branches and deployments through agent workflows" ], "pros": [ "Native integration with PlanetScale's branching model", "Open source with active community (650 stars)", "Leverages Go for performance and reliability" ], "cons": [ "Requires a PlanetScale database and account", "Limited to features exposed via MCP protocol", "Steeper learning curve for developers new to PlanetScale" ], "tags": [ "database", "go", "mysql", "mysql-client", "planetscale" ], "featured": false, "tier": "curated", "stars": 650, "language": [ "Go" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/planetscale/cli?tab=readme-ov-file#mcp-server-integration", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/planetscale-mcp" }, { "slug": "platfone-com-mcp", "name": "platfone-com/mcp", "vendor": "Various", "tagline": "MCP server for virtual phone number verification - SMS activations for AI agents via Claude, Cursor, VS Code Copilot and more...", "description": "An MCP server that enables AI agents to verify phone numbers via SMS activations. It works by providing a server interface for tools like Claude, Cursor, and VS Code Copilot to request and receive SMS verification codes for virtual phone numbers.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need programmatic phone verification via SMS", "useCases": [ "Integrate phone verification into AI agent workflows", "Automate SMS-based two-factor authentication for testing", "Enable AI agents to receive verification codes without manual input" ], "pros": [ "Works with popular AI development platforms like Claude and Cursor", "Provides a straightforward MCP server implementation for phone verification", "Uses virtual phone numbers to reduce dependency on real devices" ], "cons": [ "Low GitHub stars indicate limited community adoption", "Relies on virtual phone numbers which may not work for all services", "Requires external SMS service provider and API keys" ], "tags": [ "ai-agent", "claude", "cursor", "mcp", "mcp-server", "model-context-protocol", "otp", "phone-verification" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/platfone-com/mcp", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/platfone-com-mcp" }, { "slug": "playidea-lab-pcq", "name": "playidea-lab/pcq", "vendor": "Various", "tagline": "playidea-lab/pcq — indexed from awesome-mcp-servers-punkpeye", "description": "A Python-based MCP server listed in the awesome-mcp-servers collection. It serves as a bridge for AI tools using the Model Context Protocol, though no further details on its specific capabilities are available.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers wanting to experiment with MCP servers in Python.", "useCases": [ "Integrating with MCP-compatible AI assistants", "Prototyping custom tool connections via Python", "Exploring the MCP server ecosystem" ], "pros": [ "Open source and written in Python", "Part of a curated list of MCP servers", "Lightweight starting point for MCP experimentation" ], "cons": [ "No stars or community adoption evidence", "No documentation or usage examples provided", "Unknown stability and maintenance status" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/playidea-lab/pcq", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/playidea-lab-pcq" }, { "slug": "pminervini-deep-research-mcp", "name": "pminervini/deep-research-mcp", "vendor": "Various", "tagline": "MCP server for OpenAI's Deep Research APIs, Gemini Deep Research Agent, Allen AI's DR-Tulu, and Hugging Face's Open Deep Research", "description": "An MCP server that provides a unified interface for multiple deep research AI tools including OpenAI's Deep Research APIs, Gemini Deep Research Agent, Allen AI's DR-Tulu, and Hugging Face's Open Deep Research. It is written in Python and implements the Model Context Protocol to enable integration with compatible applications. Developers can route requests to different research models through a single MCP endpoint.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based tools that need flexible access to multiple deep research AI models", "useCases": [ "Connecting MCP-compatible applications to OpenAI Deep Research APIs", "Switching between Gemini Deep Research Agent and open-source alternatives via one server", "Building research automation tools that aggregate results from multiple deep research models" ], "pros": [ "Unifies access to proprietary and open-source deep research APIs", "Open-source Python implementation enables customization and self-hosting", "Supports multiple providers without changing client code" ], "cons": [ "Relatively low community adoption with 84 GitHub stars", "Requires MCP-compatible clients or adapters to use", "Each provider requires its own API keys and may have separate rate limits" ], "tags": [], "featured": false, "tier": "curated", "stars": 84, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/pminervini/deep-research-mcp", "relations": { "works_in": [ "cursor", "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pminervini-deep-research-mcp" }, { "slug": "pmptwiki-pmpt-cli", "name": "pmptwiki/pmpt-cli", "vendor": "Various", "tagline": "Record and share your AI-driven product development journey", "description": "A TypeScript command line tool for recording and sharing logs of AI-assisted product development. It helps teams document their development journey and share it with others.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-driven products who want a lightweight way to log and share their development process", "useCases": [ "Recording AI-assisted development sessions", "Sharing product development history with team members", "Archiving decision logs for future reference" ], "pros": [ "Simple CLI interface for quick logging", "Open source and written in TypeScript", "Focused on the specific task of journey documentation" ], "cons": [ "Very low adoption (5 GitHub stars) indicates limited community support", "Early stage project with likely sparse documentation and features", "Relies on manual recording which can be forgotten in fast workflows" ], "tags": [ "ai", "cli", "developer-tools", "mcp", "prompt-engineering", "side-project", "version-control", "vibe-coding" ], "featured": false, "tier": "curated", "stars": 5, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/pmptwiki/pmpt-cli", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "aider", "claude-code", "cline", "cursor" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pmptwiki-pmpt-cli" }, { "slug": "poll-the-people-customgpt-mcp", "name": "poll-the-people/customgpt-mcp", "vendor": "Various", "tagline": "Open source MCP server for CustomGPT.ai", "description": "Open source Python server that implements the Model Context Protocol (MCP) for CustomGPT.ai. It lets developers expose CustomGPT.ai agents as MCP endpoints for integration with MCP-compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers integrating CustomGPT.ai into MCP-based workflows.", "useCases": [ "Expose CustomGPT.ai agents as MCP tools for agentic workflows.", "Connect CustomGPT.ai with MCP-compatible IDEs or assistants.", "Build custom integrations that invoke CustomGPT.ai through the MCP protocol." ], "pros": [ "Open source with no licensing costs.", "Simple Python codebase for easy customization.", "Lightweight dependency footprint." ], "cons": [ "Very low community adoption (3 GitHub stars).", "Limited documentation and usage examples.", "May lack ongoing maintenance or advanced features." ], "tags": [ "custom-gpt", "mcp", "model-context-protocol", "open-source" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-10-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/Poll-The-People/customgpt-mcp", "relations": { "works_in": [ "continue", "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/poll-the-people-customgpt-mcp" }, { "slug": "polygon-io-mcp-polygon", "name": "polygon-io/mcp_polygon)", "vendor": "Various", "tagline": "An MCP server for Massive.com Financial Market Data", "description": "MCP server that provides access to financial market data from Polygon.io. It allows AI assistants to retrieve real-time and historical stock, options, and forex data through the Model Context Protocol. Built in Python, it exposes endpoints for querying market data programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need financial market data", "useCases": [ "Fetching real-time stock prices for analysis", "Retrieving historical market data for backtesting", "Integrating financial data into AI-powered financial reports" ], "pros": [ "Well-documented and easy to set up with MCP-compatible AI tools", "Provides access to comprehensive financial datasets from Polygon.io", "Actively maintained with 346 GitHub stars" ], "cons": [ "Requires a Polygon.io API subscription for data access", "Limited to the data types and endpoints supported by Polygon.io", "May have latency for real-time data depending on the API plan" ], "tags": [ "cryptocurrency", "fintech", "llm", "market-data", "mcp", "mcp-server", "options", "stocks" ], "featured": false, "tier": "curated", "stars": 346, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/polygon-io/mcp_polygon", "relations": { "works_in": [ "claude-code", "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/polygon-io-mcp-polygon" }, { "slug": "pomazanbohdan-memory-mcp-1file", "name": "pomazanbohdan/memory-mcp-1file", "vendor": "Various", "tagline": "🦀 🏠 🍎 🪟 🐧 - A self-contained Memory server with single-binary architecture (embedded DB & models, no dependencies). Provides persistent semantic and graph-based memory for AI", "description": "A self-contained memory server built as a single binary. It embeds a database and models with no external dependencies. It offers persistent semantic and graph-based memory for AI applications.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a lightweight, self-contained memory server for AI agents or chatbots", "useCases": [ "Persisting AI agent context across sessions", "Storing and querying semantic relationships", "Running a lightweight memory backend without external services" ], "pros": [ "Single binary deployment with no external dependencies", "Cross-platform support (Linux, macOS, Windows)", "Persistent semantic and graph memory" ], "cons": [ "Low star count (23) suggests limited community and testing", "Rust binary may not be easily modifiable by non-Rust developers", "Single-binary architecture may not suit distributed deployments" ], "tags": [], "featured": false, "tier": "curated", "stars": 23, "language": [ "Rust" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/pomazanbohdan/memory-mcp-1file", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "topoteretes-cognee", "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pomazanbohdan-memory-mcp-1file" }, { "slug": "portainer-portainer-mcp", "name": "portainer/portainer-mcp", "vendor": "Various", "tagline": "Portainer MCP server", "description": "Portainer MCP server is a Python-based tool that exposes a Model Context Protocol interface for managing Docker environments through Portainer. It allows AI assistants to interact directly with containerized infrastructure using natural language or structured queries.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to control their Portainer Docker stacks through AI assistants", "useCases": [ "Deploy and manage Docker containers via natural language commands", "Monitor container health and logs without leaving an AI chat interface", "Automate infrastructure changes through AI-driven workflows" ], "pros": [ "Tight integration with Portainer for real-world Docker management", "Enables non-GUI container operations from within AI tools", "Open source with active GitHub community (166 stars)" ], "cons": [ "Requires a running Portainer instance, adding a dependency", "Limited to Portainer-managed environments, not generic Docker", "Python-only implementation may not fit every MCP ecosystem" ], "tags": [], "featured": false, "tier": "curated", "stars": 166, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/portainer/portainer-mcp", "relations": { "works_in": [ "cursor", "cline", "continue", "claude-code" ], "uses": [ "docker" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/portainer-portainer-mcp" }, { "slug": "portel-dev-ncp", "name": "portel-dev/ncp", "vendor": "Various", "tagline": "Natural Context Provider (NCP). Your MCPs, supercharged. Find any tool instantly, load on demand, run on schedule, ready for any client. Smart loading saves tokens and energy.", "description": "Natural Context Provider (NCP) is a JavaScript tool that manages Model Context Protocol (MCP) resources. It allows developers to discover, load on demand, and schedule MCPs while saving tokens and energy through smart loading. The tool is designed to work with any client that supports MCP.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI applications that need efficient, on-demand MCP management", "useCases": [ "Discover and load MCPs on demand to reduce overhead", "Schedule MCP execution for recurring or automated tasks", "Integrate MCPs with any compatible client application" ], "pros": [ "Smart loading reduces token and energy consumption", "On-demand loading minimizes unnecessary resource usage", "Client-agnostic design works with various MCP clients" ], "cons": [ "Low star count (91) indicates early-stage adoption", "JavaScript-only implementation limits use in other language ecosystems", "Relies on the maturity and availability of MCP resources" ], "tags": [ "ai-agents", "claude", "claude-desktop", "gemini", "mcp", "mcp-client", "mcp-server", "openai" ], "featured": false, "tier": "curated", "stars": 91, "language": [ "JavaScript" ], "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/portel-dev/ncp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp", "awslabs-mcp", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/portel-dev-ncp" }, { "slug": "postaldatapi-postaldatapi-mcp", "name": "PostalDataPI/postaldatapi-mcp", "vendor": "Various", "tagline": "MCP server for PostalDataPI — postal code lookups for AI agents", "description": "An MCP server that enables AI agents to perform postal code lookups via the PostalDataPI API. It exposes a single tool for querying postal codes by country and code, returning location data in a structured format.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to add postal code lookup capabilities to AI agents or automation tools", "useCases": [ "Integrating postal code validation into AI assistants", "Building location-aware chatbots or data enrichment pipelines", "Automating address normalization in developer workflows" ], "pros": [ "Simple, focused functionality for a common data lookup need", "Easy to integrate with any MCP-compatible AI agent framework", "Lightweight Python implementation with minimal dependencies" ], "cons": [ "Requires an external API key and internet access to function", "No built-in caching or offline support for repeated lookups", "Limited to postal code data only, no broader geocoding features" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/PostalDataPI/postaldatapi-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/postaldatapi-postaldatapi-mcp" }, { "slug": "postcardbot-mcp-server", "name": "PostcardBot/mcp-server", "vendor": "Various", "tagline": "MCP server for Postcard.bot — let AI agents send real printed postcards. Works with Claude, Cursor, Windsurf, and any MCP client.", "description": "PostcardBot/mcp-server is a Model Context Protocol server that enables AI agents to send real printed postcards through Postcard.bot. It integrates with any MCP client such as Claude, Cursor, or Windsurf, allowing agents to trigger physical mail delivery programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to send physical postcards as part of their workflow", "useCases": [ "Send automated postcards from AI assistants for reminders or greetings", "Trigger physical mail from workflow automation tools", "Enable AI agents to deliver tangible outputs to users" ], "pros": [ "Works with multiple popular MCP clients out of the box", "Provides a real-world physical output from AI interactions", "Simple TypeScript implementation for easy customization" ], "cons": [ "Requires a Postcard.bot account and service subscription", "Limited to postcard format only, no letters or packages", "Dependent on the MCP protocol and client compatibility" ], "tags": [ "ai-agents", "claude", "direct-mail", "mcp", "mcp-server", "physical-mail", "postcard", "postcardbot" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/PostcardBot/mcp-server", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/postcardbot-mcp-server" }, { "slug": "posthog-mcp", "name": "posthog/mcp", "vendor": "Various", "tagline": "Official PostHog MCP Server 🦔", "description": "An MCP server that connects PostHog analytics to AI agents. It exposes PostHog's data model and query capabilities through the Model Context Protocol, enabling tools like Claude or VS Code to interact with analytics data.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Teams using PostHog who want AI-driven access to their analytics data", "useCases": [ "Query user events and properties from PostHog", "Generate analytics insights directly from an AI assistant", "Automate data retrieval for dashboards and reports" ], "pros": [ "Official integration maintained by PostHog", "Leverages PostHog’s event and person data", "Written in TypeScript for type safety" ], "cons": [ "Requires a running MCP-compatible client", "Limited to data already in PostHog", "Relatively new project with small community (143 stars)" ], "tags": [ "analytics", "feature-flags", "llms", "mcp", "mcp-server", "posthog" ], "featured": false, "tier": "curated", "stars": 143, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-01-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/posthog/mcp", "relations": { "works_in": [ "claude-code", "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/posthog-mcp" }, { "slug": "pradumnasaraf-aviationstack-mcp", "name": "Pradumnasaraf/aviationstack-mcp", "vendor": "Various", "tagline": "An MCP server using the AviationStack API to fetch real-time flight data including airline flights, airport schedules, future flights and aircraft types ✈️.", "description": "An MCP server that wraps the AviationStack API to provide real-time flight data. It exposes tools for querying airline flights, airport schedules, future flights, and aircraft types through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants or automation tools that need live flight and airport data", "useCases": [ "Integrate live flight tracking into AI assistants or chatbots", "Build airport schedule lookup tools for travel applications", "Query aircraft type information for aviation data pipelines" ], "pros": [ "Provides structured access to real-time aviation data via MCP", "Simple Python implementation with clear API endpoints", "Useful for developers building AI tools that need flight context" ], "cons": [ "Requires an AviationStack API key, which may have usage limits or costs", "Limited to data available through AviationStack's free tier", "Small community (23 stars) may mean slower updates or support" ], "tags": [ "mcp", "mcp-server", "python", "uv", "uvicorn" ], "featured": false, "tier": "curated", "stars": 23, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-02-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/Pradumnasaraf/aviationstack-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pradumnasaraf-aviationstack-mcp" }, { "slug": "pragmar-mcp-server-webcrawl", "name": "pragmar/mcp-server-webcrawl", "vendor": "Various", "tagline": "MCP server tailored to connecting web crawler data and archives", "description": "This is an MCP server written in Python that connects web crawler data and archives to MCP clients. It exposes crawl results and archived web content through the Model Context Protocol for use in AI and developer tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to expose web crawl archives through the Model Context Protocol", "useCases": [ "Integrate web crawl archives into AI assistants via MCP", "Query historical web content from crawlers in automated workflows", "Build MCP-based tools that access crawled data sets" ], "pros": [ "Lightweight Python implementation with focused functionality", "Open source with MIT license for flexible use", "Simple integration for developers already using MCP" ], "cons": [ "Small community with only 41 stars", "Limited to MCP protocol, not a general web crawling solution", "Requires self-hosting and management of crawl data sources" ], "tags": [ "archivebox", "httrack", "interrobot", "katana", "knowledgebase", "mcp", "mcp-server", "mcp-servers" ], "featured": false, "tier": "curated", "stars": 41, "language": [ "Python" ], "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/pragmar/mcp-server-webcrawl", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "browsermcp-mcp", "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pragmar-mcp-server-webcrawl" }, { "slug": "pramod-kaggle", "name": "pramod/kaggle", "vendor": "Various", "tagline": "This project provides an MCP (Model Context Protocol) server for interacting with Kaggle competitions from Claude Desktop (or any MCP-compatible client)", "description": "Provides an MCP server for interacting with Kaggle competitions from Claude Desktop or any MCP-compatible client. Built in Python, it enables AI assistants to fetch competition details and submit entries. Currently has limited adoption with 3 stars on GitHub.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers integrating Kaggle tasks into AI assistant workflows", "useCases": [ "List ongoing Kaggle competitions via an AI assistant", "Retrieve competition leaderboard and submission data", "Submit predictions to Kaggle competitions programmatically" ], "pros": [ "Enables LLMs to directly interact with Kaggle competitions through the Model Context Protocol", "Works with any MCP-compatible client like Claude Desktop", "Lightweight Python implementation with minimal dependencies" ], "cons": [ "Limited community adoption (only 3 stars on GitHub)", "Requires Kaggle API credentials for authentication", "Dependent on Kaggle API stability and rate limits" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-09-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/KrishnaPramodParupudi/kaggle-mcp-server", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pramod-kaggle" }, { "slug": "pratyay-mac-monitor-mcp", "name": "Pratyay/mac-monitor-mcp", "vendor": "Various", "tagline": "🐍 🏠 🍎 - Identifies resource-intensive processes on macOS and provides performance improvement suggestions.", "description": "Pratyay/mac-monitor-mcp is a Python-based MCP server that identifies resource-intensive processes on macOS and offers performance improvement suggestions. It runs locally and integrates with AI assistants via the Model Context Protocol, allowing natural language queries about system resource usage.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want conversational macOS performance diagnostics via AI assistants", "useCases": [ "Ask an AI assistant to find processes using high CPU or memory on your Mac", "Get performance tuning suggestions for specific applications", "Monitor system health during development sessions" ], "pros": [ "Provides actionable, specific suggestions rather than just raw metrics", "Lightweight Python implementation easy to install and configure", "Integrates directly with MCP-compatible AI tools for conversational diagnostics" ], "cons": [ "macOS only, no Linux or Windows support", "Read-only analysis with no ability to kill or manage processes", "Requires an MCP client (e.g., Claude Desktop) to be useful" ], "tags": [], "featured": false, "tier": "curated", "stars": 21, "language": [ "Python" ], "lastUpdated": "2026-03-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/Pratyay/mac-monitor-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mediar-ai-screenpipe" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pratyay-mac-monitor-mcp" }, { "slug": "pranciskus-newsmcp", "name": "pranciskus/newsmcp", "vendor": "Various", "tagline": "MCP server for real-time world news — free, no API key required", "description": "An MCP server that delivers real-time world news. It is free to use and requires no API key. The server is written in TypeScript and integrates with MCP-compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need quick news integration without managing API keys", "useCases": [ "Fetching current headlines for a dashboard", "Embedding news into a chatbot or assistant", "Building a lightweight news aggregator" ], "pros": [ "Free with no API key required", "Real-time news delivery", "TypeScript codebase for easy integration" ], "cons": [ "Limited to general world news coverage", "No support for custom news sources or filters", "Potential reliability or latency from free tier" ], "tags": [ "ai-agents", "claude", "llm", "llm-tools", "mcp", "mcp-server", "model-context-protocol", "news" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/pranciskus/newsmcp", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pranciskus-newsmcp" }, { "slug": "preflight-dev-preflight", "name": "preflight-dev/preflight", "vendor": "Various", "tagline": "✈️ 24-tool MCP server for Claude Code: preflight checks for your prompts, cross-service context, session history search with LanceDB vectors, correction pattern learning, cost esti", "description": "Preflight is a 24-tool MCP server for Claude Code that runs preflight checks on prompts, provides cross-service context, and enables session history search using LanceDB vectors. It also includes correction pattern learning and cost estimation features.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude Code who need structured prompt validation and session analytics", "useCases": [ "Validate prompts before execution to catch errors early", "Search across session histories with vector embeddings", "Estimate costs for Claude Code interactions" ], "pros": [ "Offers a comprehensive set of 24 tools for prompt management", "Uses LanceDB for efficient vector-based session search", "Includes correction pattern learning to improve future interactions" ], "cons": [ "Requires Claude Code as a dependency, limiting standalone use", "May have a learning curve due to the number of tools available", "Vector search performance depends on session history size" ], "tags": [ "ai-coding", "ai-tools", "anthropic", "claude", "claude-code", "code-quality", "cost-estimation", "developer-tools" ], "featured": false, "tier": "curated", "stars": 8, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/preflight-dev/preflight", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/preflight-dev-preflight" }, { "slug": "prereason-mcp", "name": "PreReason/mcp", "vendor": "Various", "tagline": "MCP server for PreReason, the Context API for financial agents. 17 pre-reasoned market briefings with trend signals, regime classification, confidence scores, and cross-asset corre", "description": "PreReason/mcp is an MCP server that exposes the PreReason Context API for financial agents. It delivers 17 pre-reasoned market briefings including trend signals, regime classification, confidence scores, and cross-asset correlations.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building financial agents that need curated, pre-reasoned market context.", "useCases": [ "Inject structured market signals and confidence scores into a trading agent", "Retrieve regime classification and cross-asset correlation data for portfolio analysis", "Build an agent that consumes curated financial briefings without raw data processing" ], "pros": [ "Delivers pre-reasoned data, reducing the need for custom signal processing", "Includes confidence scores and cross-asset correlations in a single API", "Simple MCP integration for existing agent frameworks" ], "cons": [ "Low GitHub stars (2) indicate limited community adoption and support", "Only 17 briefings available, limiting coverage of assets or timeframes", "Requires financial domain knowledge to interpret and apply the signals effectively" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/PreReason/mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/prereason-mcp" }, { "slug": "pricepertoken-mcp-server", "name": "pricepertoken/mcp-server", "vendor": "Various", "tagline": "Free MCP server for real-time LLM pricing data. Get GPT-4, Claude, Gemini costs directly in Claude Code, Cursor, and Windsurf.", "description": "A free MCP server that provides real-time pricing data for major LLMs including GPT-4, Claude, and Gemini. It integrates directly into Claude Code, Cursor, and Windsurf to show current token costs within the coding environment.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using AI coding assistants who need to track or compare LLM costs in real time.", "useCases": [ "Check real-time token costs while coding in an AI assistant", "Compare LLM pricing without leaving the editor workflow", "Monitor per-model expenses to budget AI usage" ], "pros": [ "Free to use with no subscription or API key required", "Real-time pricing data for multiple popular LLMs", "Integrates directly into widely used coding tools" ], "cons": [ "Only supports GPT-4, Claude, and Gemini models", "Requires MCP support in the editor to function", "Data may not reflect custom enterprise pricing or discounts" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://pricepertoken.com/mcp", "screenshotUrl": "https://pricepertoken.com/mcp_terminal.png", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pricepertoken-mcp-server" }, { "slug": "princegabriel-lgtm-freshcontext-mcp", "name": "PrinceGabriel-lgtm/freshcontext-mcp", "vendor": "Various", "tagline": "Timestamped web intelligence for AI agents. MCP server with guaranteed freshness envelopes.", "description": "An MCP server that provides timestamped web intelligence for AI agents. It ensures data freshness by delivering content with guaranteed freshness envelopes, allowing agents to rely on up-to-date information. Built in TypeScript, it follows the Model Context Protocol for integration.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that require verifiably fresh web context", "useCases": [ "Fetching current web content for AI agent decision-making", "Ensuring agent context includes only data within a specified freshness window", "Timestamping web intelligence for audit or traceability in agent workflows" ], "pros": [ "Guarantees data freshness with explicit timestamp envelopes", "Standard MCP protocol enables easy integration with compatible agents", "Lightweight TypeScript implementation for quick setup" ], "cons": [ "Very early stage with only 9 GitHub stars and limited community", "Dependent on external web sources which may introduce latency or availability issues", "No documented support for caching or offline fallback" ], "tags": [ "ai-agents", "context", "freshness", "llm", "mcp", "mcp-server", "typescript", "webscraping" ], "featured": false, "tier": "curated", "stars": 9, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/PrinceGabriel-lgtm/freshcontext-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "exa-labs-exa-mcp-server", "upstash-context7" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/princegabriel-lgtm-freshcontext-mcp" }, { "slug": "prisma-mcp", "name": "prisma/mcp", "vendor": "Various", "tagline": "📇 ☁️ 🏠 - Gives LLMs the ability to manage Prisma Postgres databases (e.g. spin up new databases and run migrations or queries).", "description": "A model context protocol server that lets LLMs manage Prisma Postgres databases. It can spin up new database instances, run migrations, and execute queries. Built in JavaScript, it exposes database operations through the MCP standard.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Prisma who want to delegate database operations to language models", "useCases": [ "Spin up a Prisma Postgres database on demand via LLM commands", "Autonomously run database migrations during development", "Execute natural language queries against Postgres databases" ], "pros": [ "Enables LLMs to perform database management tasks directly", "Integrates with Prisma's schema and migration workflows", "Open source with straightforward setup" ], "cons": [ "Supports only Prisma Postgres, not other database providers", "Small community adoption (42 stars), indicating early stage", "Requires granting LLM access to database credentials and endpoints" ], "tags": [], "featured": false, "tier": "curated", "stars": 42, "language": [ "JavaScript" ], "lastUpdated": "2025-10-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/prisma/mcp", "relations": { "works_in": [ "claude-code", "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/prisma-mcp" }, { "slug": "profullstack-mcp-server", "name": "profullstack/mcp-server", "vendor": "Various", "tagline": "A generic, modular server for implementing the Model Context Protocol (MCP).", "description": "A generic, modular server for implementing the Model Context Protocol (MCP) in JavaScript. It provides a reusable foundation for building MCP-compatible servers that expose tools, resources, and prompts to AI clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a quick, modular starting point for building MCP servers in JavaScript", "useCases": [ "Building a custom MCP server to connect an AI assistant to internal APIs", "Prototyping MCP-based integrations without starting from scratch", "Extending an existing MCP server with new tools or resources" ], "pros": [ "Modular design makes it easy to add or remove capabilities", "Lightweight JavaScript implementation with minimal dependencies", "Straightforward for developers already familiar with MCP" ], "cons": [ "Small community and limited documentation due to low star count", "No built-in authentication or authorization mechanisms", "Requires manual setup and configuration for production use" ], "tags": [ "mcp-server" ], "featured": false, "tier": "curated", "stars": 43, "language": [ "JavaScript" ], "license": "ISC", "lastUpdated": "2026-05-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/profullstack/mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp", "awslabs-mcp" ], "alternative_to": [ "fastmcp", "awslabs-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/profullstack-mcp-server" }, { "slug": "prompeteer-prompeteer-mcp", "name": "prompeteer/prompeteer-mcp", "vendor": "Various", "tagline": "Prompeteer.ai MCP", "description": "Prompeteer-mcp is a JavaScript implementation of the Model Context Protocol (MCP) for AI applications. It enables AI assistants to call external tools and access data sources through a standardized interface. The repository provides the server-side code to handle MCP requests.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring MCP integration with JavaScript ecosystems.", "useCases": [ "Connect an AI chatbot to custom APIs or databases via MCP", "Build a tool-execution layer for AI agents using JavaScript", "Prototype MCP-based workflows in Node.js environments" ], "pros": [ "Written in JavaScript, familiar to Node.js developers", "Lightweight and focused on the MCP specification", "Easy to extend or embed into existing projects" ], "cons": [ "Zero GitHub stars suggests very limited adoption or early stage", "Vendor listed as 'Various' implying no clear ownership or support", "Lack of documentation beyond the repository name" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/prompeteer/prompeteer-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/prompeteer-prompeteer-mcp" }, { "slug": "promptexecution-cratedocs-mcp", "name": "PromptExecution/cratedocs-mcp", "vendor": "Various", "tagline": "MCP tools for Rust Context Engineering (rustdocs, rust analyzer)", "description": "A set of Model Context Protocol (MCP) tools that expose Rust crate documentation and rust analyzer diagnostics to AI assistants. It allows AI agents to query rustdocs and compiler analysis results directly within the development context.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Rust developers integrating AI assistance with crate documentation and analysis", "useCases": [ "Fetch rustdocs for specific crates during AI-assisted coding", "Retrieve rust analyzer diagnostics and suggestions via MCP", "Integrate Rust context into AI coding agents or IDEs" ], "pros": [ "Lightweight Rust implementation with low overhead", "Leverages MCP for standardized context exchange with AI tools", "Provides direct access to both documentation and live analysis" ], "cons": [ "Low community adoption (17 stars) may indicate limited maintenance or testing", "Only supports Rust, not generalizable to other languages", "Requires an MCP-compatible client or agent to be useful" ], "tags": [], "featured": false, "tier": "curated", "stars": 17, "language": [ "Rust" ], "license": "MIT", "lastUpdated": "2026-02-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/promptexecution/cratedocs-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/promptexecution-cratedocs-mcp" }, { "slug": "promptexecution-just-mcp", "name": "promptexecution/just-mcp", "vendor": "Various", "tagline": "mcp server for just", "description": "An MCP server that exposes just command runner recipes to AI assistants via the Model Context Protocol. It enables AI tools to execute just tasks defined in a Justfile, bridging automation with AI workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using just who want AI assistants to run their task automation", "useCases": [ "Running just recipes from an AI assistant", "Integrating just-based build or task automation with AI tools", "Executing project-specific commands via natural language prompts" ], "pros": [ "Leverages the simplicity and speed of just for task execution", "Enables AI to trigger existing automation without manual intervention", "Written in Rust for performance and reliability" ], "cons": [ "Requires a Justfile to be present in the project", "Limited to commands defined in just recipes", "Relatively new with small community (49 stars)" ], "tags": [], "featured": false, "tier": "curated", "stars": 49, "language": [ "Rust" ], "license": "MIT", "lastUpdated": "2025-12-03", "addedAt": "2026-06-01", "officialLink": "https://github.com/promptexecution/just-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp", "eyaltoledano-claude-task-master", "wonderwhy-er-desktopcommandermcp" ], "alternative_to": [ "eyaltoledano-claude-task-master" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/promptexecution-just-mcp" }, { "slug": "proplineapi-propline-mcp", "name": "proplineapi/propline-mcp", "vendor": "Various", "tagline": "proplineapi/propline-mcp — indexed from awesome-mcp-servers-punkpeye", "description": "proplineapi/propline-mcp is a TypeScript-based MCP server that provides an API for property line data. It allows AI agents to query and retrieve property boundary information through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to access property boundary data", "useCases": [ "Integrate property line data into AI-assisted real estate analysis tools", "Enable AI agents to fetch parcel boundaries for mapping applications", "Automate property boundary lookups in land development workflows" ], "pros": [ "Lightweight TypeScript implementation for easy integration", "Follows the MCP standard for compatibility with AI agents", "Focused on a specific data domain for clear use cases" ], "cons": [ "No stars or community adoption yet, indicating early stage", "Limited documentation beyond the repository index", "Dependent on external property line data sources for actual functionality" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/proplineapi/propline-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/proplineapi-propline-mcp" }, { "slug": "proompteng-bilig", "name": "proompteng/bilig", "vendor": "Various", "tagline": "Headless spreadsheet workbooks for Node services and agents, no need for excel or browser", "description": "A TypeScript library for Node.js that enables creating and manipulating spreadsheet workbooks programmatically without requiring Excel or a browser. It provides a headless interface for building data pipelines, generating reports, and integrating spreadsheet operations into services and agents.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Node.js developers who need programmatic spreadsheet generation without external dependencies", "useCases": [ "Generate spreadsheet reports from Node services", "Build data pipelines that output workbook files", "Integrate spreadsheet creation into automated agents" ], "pros": [ "No dependency on Excel or browser, fully headless", "Written in TypeScript for type safety and developer experience", "Lightweight and focused on Node.js environments" ], "cons": [ "Small community with only 30 GitHub stars", "Limited to Node.js, not usable in browser or other runtimes", "May lack advanced spreadsheet features found in mature libraries" ], "tags": [ "ai-agents", "excel", "excel-formulas", "exceljs", "formula-engine", "formula-recalculation", "headless-spreadsheet", "mcp" ], "featured": false, "tier": "curated", "stars": 30, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/proompteng/bilig", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "haris-musa-excel-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/proompteng-bilig" }, { "slug": "prosperkartik-hostaway-mcp", "name": "prosperkartik/hostaway-mcp", "vendor": "Various", "tagline": "Open-source Model Context Protocol (MCP) server for the Hostaway PMS - connect Claude to your vacation rental ops.", "description": "An open-source Model Context Protocol server that connects Claude to the Hostaway property management system. It exposes Hostaway API endpoints as tools and resources, enabling AI assistants to interact with vacation rental operations.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-powered assistants for vacation rental management", "useCases": [ "Automate guest messaging and check-in instructions via Claude", "Query reservation and booking data from Hostaway", "Manage property listings and availability through natural language" ], "pros": [ "Open-source and written in TypeScript for type safety", "Enables direct AI integration with Hostaway PMS", "Lightweight and easy to extend for custom workflows" ], "cons": [ "Very early stage with only 1 star and limited community adoption", "Depends on Hostaway API availability and rate limits", "Minimal documentation or examples for setup and usage" ], "tags": [ "anthropic", "claude", "hostaway", "mcp", "model-context-protocol", "openai", "pms", "typescript" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/prosperkartik/hostaway-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/prosperkartik-hostaway-mcp" }, { "slug": "protostatis-unbrowser", "name": "protostatis/unbrowser", "vendor": "Various", "tagline": "Single-binary, Chrome-free headless browser for LLM agents. Cheap layer of a two-engine scraping stack — handles 80% of pages at 1/50th Chrome's per-session cost.", "description": "Single-binary, Chrome-free headless browser for LLM agents. Handles 80% of web pages at 1/50th the per-session cost of Chrome. Serves as a cheap first layer in a two-engine scraping stack.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing cheap, lightweight headless browsing for routine web scraping in AI pipelines", "useCases": [ "Scraping simple web pages for LLM training data", "Automated data extraction for AI agent workflows", "Lightweight headless browsing for automation pipelines" ], "pros": [ "Extremely low per-session cost compared to Chrome", "Single binary with no Chrome dependency, saving resources", "Fast execution due to Rust implementation" ], "cons": [ "Covers only 80% of pages, requiring a fallback engine for complex sites", "May miss JavaScript-heavy or modern single-page applications", "Limited to simple scraping scenarios without full browser capabilities" ], "tags": [], "featured": false, "tier": "curated", "stars": 7, "language": [ "Rust" ], "license": "Apache-2.0", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/protostatis/unbrowser", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "executeautomation-playwright-mcp-server" ], "alternative_to": [ "browsermcp-mcp", "agent-infra-mcp-server-browser" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/protostatis-unbrowser" }, { "slug": "pschina-deepseek-as-subagent", "name": "PsChina/deepseek-as-subagent", "vendor": "Various", "tagline": "Run DeepSeek as a real sub-agent inside Claude Code / Codex CLI — DeepSeek gets its own 7-tool agent loop in a sandboxed workspace, not just a single LLM call.", "description": "This project enables running DeepSeek as a real sub-agent inside Claude Code or Codex CLI. DeepSeek operates in its own agent loop with seven tools in a sandboxed workspace, not just a single LLM call.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude Code who want to delegate subtasks to a separate DeepSeek sub-agent.", "useCases": [ "Integrating DeepSeek as a sub-agent within Claude Code sessions", "Running multi-step tasks in a sandboxed environment alongside a primary agent", "Leveraging DeepSeek's capabilities in a controlled sub-agent workspace" ], "pros": [ "Gives DeepSeek its own full agent loop with multiple tools", "Sandboxed workspace reduces cross-contamination between agents", "Extends Claude Code/Codex CLI with another reasoning model" ], "cons": [ "Dependent on Claude Code or Codex CLI as the host environment", "No indication of performance tradeoffs or stability under heavy use", "Limited to users already working within the Claude Code ecosystem" ], "tags": [ "agent-loop", "ai-agent", "claude-code", "codex-cli", "deepseek", "llm-orchestration", "mcp", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/PsChina/deepseek-as-subagent", "relations": { "works_in": [ "claude-code" ], "uses": [ "deepseek-r1" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pschina-deepseek-as-subagent" }, { "slug": "pskill9-hn-server", "name": "pskill9/hn-server", "vendor": "Various", "tagline": "Hacker news MCP server", "description": "A JavaScript server that exposes Hacker News data through the Model Context Protocol (MCP). It allows MCP-compatible clients to fetch stories, comments, and other content from Hacker News programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based tools that need to access Hacker News content", "useCases": [ "Integrate Hacker News stories into an MCP-based AI assistant", "Fetch top or new stories for analysis or display", "Query comments and metadata from Hacker News threads" ], "pros": [ "Lightweight and easy to set up with minimal dependencies", "Provides structured access to Hacker News via a standard protocol", "Works with any MCP-compatible client or agent" ], "cons": [ "Small community and limited documentation due to low star count", "May not cover all Hacker News API endpoints or features", "Relies on the official Hacker News API, inheriting its rate limits" ], "tags": [], "featured": false, "tier": "curated", "stars": 39, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2024-12-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/pskill9/hn-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pskill9-hn-server" }, { "slug": "pskill9-web-search", "name": "pskill9/web-search", "vendor": "Various", "tagline": "Web search using free google search (NO API KEYS REQUIRED)", "description": "A JavaScript library that performs web searches using Google's free search endpoint, requiring no API keys. It scrapes search results directly from Google's public pages, returning structured data for use in applications.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers prototyping or building small-scale tools that need free web search access without API keys.", "useCases": [ "Integrating web search into a chatbot or assistant without paid APIs", "Building a custom search tool that aggregates results from multiple sources", "Automating research tasks that need real-time Google search data" ], "pros": [ "No API key or billing setup required, reducing friction for small projects", "Lightweight and simple to integrate into Node.js applications", "Active community with 454 stars indicating reliability and interest" ], "cons": [ "Relies on scraping Google's public pages, which may break if Google changes its markup", "May violate Google's Terms of Service, posing legal or ethical risks", "No official support or guarantees for rate limits or uptime" ], "tags": [], "featured": false, "tier": "curated", "stars": 454, "language": [ "JavaScript" ], "lastUpdated": "2024-12-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/pskill9/web-search", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "exa-labs-exa-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pskill9-web-search" }, { "slug": "pskill9-website-downloader", "name": "pskill9/website-downloader", "vendor": "Various", "tagline": "MCP server to download entire websites", "description": "An MCP server that downloads entire websites for offline access or analysis. It uses a headless browser to crawl and save pages, assets, and structure.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a quick, scriptable way to mirror websites for offline use or data extraction.", "useCases": [ "Archiving a website for offline reference", "Backing up a site before migration or redesign", "Scraping static content for local processing" ], "pros": [ "Simple setup as an MCP server for integration with AI tools", "Captures full site structure including assets", "Open source with active community (151 stars)" ], "cons": [ "Limited to static content; dynamic or JavaScript-heavy sites may not fully render", "No built-in scheduling or incremental updates", "Requires Node.js and MCP-compatible client to run" ], "tags": [], "featured": false, "tier": "curated", "stars": 151, "language": [ "JavaScript" ], "lastUpdated": "2024-12-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/pskill9/website-downloader", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "microsoft-markitdown" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pskill9-website-downloader" }, { "slug": "pspdfkit-nutrient-document-engine-mcp-server", "name": "PSPDFKit/nutrient-document-engine-mcp-server", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server implementation exposes document processing capabilities through natural language, supporting both direct human interaction and AI agent tool c", "description": "An MCP server that exposes document processing capabilities through natural language, enabling both direct human interaction and AI agent tool calling. Built in TypeScript, it integrates with the Nutrient Document Engine to handle tasks like PDF manipulation and extraction.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-powered document workflows who need a standardized MCP interface for PDF processing", "useCases": [ "Extracting text or metadata from PDFs via natural language commands", "Automating document workflows by integrating with AI agents", "Performing PDF transformations such as merging or splitting" ], "pros": [ "Leverages the mature Nutrient Document Engine for reliable PDF operations", "Supports both human and AI agent interactions through the MCP protocol", "TypeScript codebase offers type safety and broad ecosystem compatibility" ], "cons": [ "Requires a Nutrient Document Engine license for full functionality", "Limited to document processing tasks, not a general-purpose MCP server", "Relatively low community adoption with 59 stars" ], "tags": [ "agentic-ai", "document-processing", "document-processor", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 59, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/PSPDFKit/nutrient-document-engine-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mickaelkerjean-filestash" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pspdfkit-nutrient-document-engine-mcp-server" }, { "slug": "pspdfkit-nutrient-dws-mcp-server", "name": "PSPDFKit/nutrient-dws-mcp-server", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server implementation that integrates with the Nutrient Document Web Service (DWS) Processor API, providing powerful PDF processing capabilities for", "description": "This is a Model Context Protocol (MCP) server that connects AI assistants to the Nutrient Document Web Service (DWS) Processor API for PDF operations. It allows AI agents to run document processing tasks such as merging, splitting, or converting PDF files through a standardized server interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need server-side PDF processing capabilities.", "useCases": [ "Programmatically merge or split PDF files via an AI assistant", "Convert PDF documents to other formats using a server-based API", "Integrate PDF processing workflows into agent-based automation tools" ], "pros": [ "Provides a direct MCP interface to a powerful document processing API", "Written in TypeScript, making it accessible for JavaScript/TypeScript developers", "Enables AI assistants to perform real PDF manipulation without local dependencies" ], "cons": [ "Requires access to a running Nutrient DWS backend and API credentials", "Limited to the capabilities of the Nutrient DWS API, which may have usage costs", "Relatively new with few stars (65), so community support and tooling maturity are limited" ], "tags": [ "ai-agents", "claude", "document-ai", "document-processing", "langchain", "llm", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 65, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/PSPDFKit/nutrient-dws-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pspdfkit-nutrient-dws-mcp-server" }, { "slug": "psu3d0-spreadsheet-mcp", "name": "PSU3D0/spreadsheet-mcp", "vendor": "Various", "tagline": "MCP server for spreadsheet analysis and editing. Slim, token-efficient tool surface designed for LLM agents.", "description": "An MCP server for spreadsheet analysis and editing, built in Rust. It exposes a slim, token-efficient tool surface designed for LLM agents to read and modify spreadsheet data.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building LLM agents that need lightweight spreadsheet read/write capabilities", "useCases": [ "Automating spreadsheet data extraction and formatting via LLM agents", "Integrating spreadsheet editing into AI-driven workflows", "Performing lightweight spreadsheet operations without a full office suite" ], "pros": [ "Rust implementation offers fast performance and low resource usage", "Token-efficient design reduces LLM API costs", "Focused tool surface simplifies integration for agents" ], "cons": [ "Small community (46 stars) may mean limited support and documentation", "Narrow scope may not suit complex spreadsheet tasks", "Requires MCP-compatible LLM infrastructure to use" ], "tags": [ "spreadsheet", "spreadsheet-agent", "spreadsheet-ai", "spreadsheet-mcp" ], "featured": false, "tier": "curated", "stars": 46, "language": [ "Rust" ], "license": "Apache-2.0", "lastUpdated": "2026-05-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/PSU3D0/spreadsheet-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "haris-musa-excel-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/psu3d0-spreadsheet-mcp" }, { "slug": "pthrower-strata", "name": "PThrower/Strata", "vendor": "Various", "tagline": "PThrower/Strata — indexed from awesome-mcp-servers-punkpeye", "description": "PThrower/Strata is an MCP server listed in the awesome-mcp-servers collection. It provides structured context and tool access for AI assistants through the Model Context Protocol. The server is maintained by an individual developer as an open source project.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring or building with the Model Context Protocol", "useCases": [ "Integrating AI assistants with custom data sources", "Exposing file system or database operations as AI-accessible tools", "Prototyping MCP-based workflows for development environments" ], "pros": [ "Lightweight and focused on the MCP standard", "Open source with code available on GitHub", "Easy to integrate into existing MCP ecosystems" ], "cons": [ "Limited documentation and community support typical of a personal project", "May lack enterprise-grade security or scalability", "Depends on the evolving MCP specification" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/PThrower/Strata", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pthrower-strata" }, { "slug": "public-ui-kolibri", "name": "public-ui/kolibri", "vendor": "Various", "tagline": "The accessible HTML-Standard", "description": "Kolibri is an open-source library that provides accessible HTML components and patterns. It implements a set of UI elements following accessibility standards, written in TypeScript. The project aims to serve as a standard for accessible HTML in web development.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to build accessible HTML components and want a standards-oriented approach", "useCases": [ "Building accessible web interfaces", "Creating standard-compliant UI components", "Ensuring WCAG compliance in frontend projects" ], "pros": [ "TypeScript support for type safety", "Focus on accessibility standards", "Open source and community-driven" ], "cons": [ "Small community with limited adoption", "May lack extensive documentation or examples", "Not as feature-rich as larger UI libraries" ], "tags": [ "a11y", "accessibility", "angular", "barrierefreiheit", "client-side-rendering", "csr", "design-system", "react" ], "featured": false, "tier": "curated", "stars": 262, "language": [ "TypeScript" ], "license": "EUPL-1.2", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/public-ui/kolibri", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/public-ui-kolibri" }, { "slug": "pullkitsan-mobsf-mcp-server", "name": "pullkitsan/mobsf-mcp-server", "vendor": "Various", "tagline": "This MCP server uses mobsf api's to scan and analyze the apk and ipa files.", "description": "This MCP server integrates with the Mobile Security Framework (MobSF) to scan and analyze Android APK and iOS IPA files. It exposes MobSF's security analysis capabilities through the Model Context Protocol, enabling automated mobile app security checks.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing automated mobile app security scanning within MCP-based toolchains", "useCases": [ "Scan APK files for security vulnerabilities and malware", "Analyze IPA files for privacy issues and code weaknesses", "Integrate mobile app security scanning into MCP-compatible workflows" ], "pros": [ "Leverages MobSF's comprehensive mobile security analysis", "Provides a standardized MCP interface for automation", "Open-source and extensible for custom workflows" ], "cons": [ "Limited community adoption and support due to low stars", "Requires a running MobSF instance separately", "May lack advanced features available in direct MobSF usage" ], "tags": [], "featured": false, "tier": "curated", "stars": 20, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-07-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/pullkitsan/mobsf-mcp-server", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [ "lauriewired-ghidramcp", "mrexodia-ida-pro-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pullkitsan-mobsf-mcp-server" }, { "slug": "pulumi-mcp-server", "name": "pulumi/mcp-server", "vendor": "Various", "tagline": "🎖️ 📇 🏠 - MCP server for interacting with Pulumi using the Pulumi Automation API and Pulumi Cloud API. Enables MCP clients to perform Pulumi operations like retrieving package in", "description": "The pulumi/mcp-server is an open-source MCP server that uses Pulumi's Automation API and Cloud API to let MCP clients perform Pulumi operations such as retrieving package information. It acts as a bridge between MCP-compatible tools and Pulumi's infrastructure management capabilities.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Pulumi who want to connect infrastructure management with MCP-compatible assistants or tooling.", "useCases": [ "Manage Pulumi stacks and resources from an MCP client", "Retrieve package metadata and information via MCP commands", "Execute automated Pulumi operations programmatically" ], "pros": [ "Enables integration of Pulumi into MCP-based workflows and AI tools", "Leverages Pulumi Automation API for flexible programmatic control", "Open source with community support" ], "cons": [ "Requires running a separate MCP server process", "Depends on Pulumi Cloud API for certain operations (not fully offline)", "Limited to the Pulumi ecosystem" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/pulumi/mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "cursor", "cline", "continue" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pulumi-mcp-server" }, { "slug": "pv-bhat-vibe-check-mcp-server", "name": "PV-Bhat/vibe-check-mcp-server", "vendor": "Various", "tagline": "Vibe Check is a tool that provides mentor-like feedback to AI Agents, preventing tunnel-vision, over-engineering and reasoning lock-in for complex and long-horizon agent workflows.", "description": "An MCP server written in TypeScript that provides mentor-like feedback to AI agents during complex workflows. It intercepts agent reasoning to prevent tunnel vision, over-engineering, and reasoning lock-in, helping agents stay focused on the true objective.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building complex, long-horizon AI agents that need guardrails against over-engineering and reasoning lock-in.", "useCases": [ "Preventing AI agents from over-engineering code solutions", "Keeping agents on track during ambiguous or multi-step tasks", "Reducing reasoning lock-in for high-risk agent workflows" ], "pros": [ "Open-source with a growing community (487 stars on GitHub)", "Addresses a common pain point: agent tunnel vision in long-horizon tasks", "Lightweight integration via the MCP protocol, works with existing agent frameworks" ], "cons": [ "Requires the agent to be MCP-compatible, limiting direct use with many current LLM APIs", "Feedback quality depends on the underlying prompt or model used for mentor logic", "May add latency to agent reasoning cycles if called too frequently" ], "tags": [ "agentic-ai", "agentic-workflow", "ai-agents", "chain-of-thought", "cpi", "error-handling", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 487, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/PV-Bhat/vibe-check-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp", "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pv-bhat-vibe-check-mcp-server" }, { "slug": "pwh-pwh-cal-mcp", "name": "pwh-pwh/cal-mcp", "vendor": "Various", "tagline": "用于计算数学表达式的MCP", "description": "An MCP server that evaluates mathematical expressions. It provides a tool for AI agents to perform arithmetic calculations via the Model Context Protocol. Built in TypeScript with 13 stars on GitHub.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a minimal math evaluation tool for MCP-based AI agents", "useCases": [ "Integrate math evaluation into LLM-based agents or chatbots", "Enable AI workflows to compute expressions on the fly", "Add a simple calculator capability to MCP-compatible tools" ], "pros": [ "Lightweight and focused on a single task", "Written in TypeScript for type safety", "Open source with permissive license" ], "cons": [ "Limited to basic math expression evaluation", "Small community and minimal documentation", "No advanced features like graphing or symbolic math" ], "tags": [ "mcp-server" ], "featured": false, "tier": "curated", "stars": 13, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/pwh-pwh/cal-mcp", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pwh-pwh-cal-mcp" }, { "slug": "pwh-pwh-coin-mcp-server", "name": "pwh-pwh/coin-mcp-server", "vendor": "Various", "tagline": "use Bitget’s API to get cryptocurrency info", "description": "A TypeScript MCP server that wraps Bitget's API to provide cryptocurrency information. It exposes tools for querying real-time coin prices, market data, and other crypto details through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing quick crypto price data from Bitget in MCP-compatible applications", "useCases": [ "Fetch current cryptocurrency prices and market data from Bitget", "Integrate crypto price lookups into AI assistants or chat interfaces", "Build automated trading or monitoring tools using MCP-compatible clients" ], "pros": [ "Simple, focused implementation for a single exchange API", "Lightweight and easy to integrate with MCP clients", "Active development with 26 GitHub stars" ], "cons": [ "Limited to Bitget exchange data only", "Small community and limited documentation", "No support for trading or account operations" ], "tags": [ "cryptocurrency", "mcp-server" ], "featured": false, "tier": "curated", "stars": 26, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-04-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/pwh-pwh/coin-mcp-server", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pwh-pwh-coin-mcp-server" }, { "slug": "py2755-aiogram-mcp", "name": "Py2755/aiogram-mcp", "vendor": "Various", "tagline": "MCP server middleware for aiogram Telegram bots — expose your bot to AI agents via the Model Context Protocol", "description": "Py2755/aiogram-mcp is middleware that adds a Model Context Protocol (MCP) server to aiogram Telegram bots, enabling AI agents to interact with the bot through a standardized interface. It translates between the aiogram event loop and MCP requests, allowing agents to send messages and trigger bot handlers.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who already use aiogram and want to make their Telegram bot accessible to MCP-based AI agents.", "useCases": [ "Connect an existing aiogram Telegram bot to MCP-compatible AI agents", "Expose bot commands and handlers as tools for LLM orchestration", "Build a bridge between Telegram user interactions and agent workflows" ], "pros": [ "Leverages the open MCP standard for interoperability with multiple agent frameworks", "Written in Python with minimal overhead for aiogram projects", "Lightweight middleware that does not require rewriting bot logic" ], "cons": [ "GitHub stars at zero indicating very early stage and lack of community validation", "Limited documentation or examples beyond the repository itself", "Dependent on aiogram and MCP library versions which may shift" ], "tags": [ "aiogram", "bot", "claude", "mcp", "model-context-protocol", "python", "telegram" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/Py2755/aiogram-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/py2755-aiogram-mcp" }, { "slug": "pydantic-pydantic-ai-mcp-run-python", "name": "pydantic/pydantic-ai/mcp-run-python", "vendor": "Various", "tagline": "AI Agent Framework, the Pydantic way", "description": "A Python framework for building AI agents using Pydantic's validation and type system. Integrates with the Model Context Protocol (MCP) to enable agents to run Python code, call tools, and interact with external systems while maintaining strict data validation throughout.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Python developers building type-safe AI agents with strict validation requirements", "useCases": [ "Building autonomous agents that execute Python code safely within validated constraints", "Creating multi-step workflows where agents call external tools and APIs", "Prototyping AI applications with strong type safety and data validation" ], "pros": [ "Leverages Pydantic's mature validation ecosystem for reliable agent behavior", "MCP integration enables standardized tool calling and system interaction", "Python-native, integrates directly with existing Python codebases" ], "cons": [ "Relatively young project with smaller community compared to established frameworks", "Requires familiarity with both Pydantic and MCP concepts", "Limited to Python environments, not suitable for polyglot deployments" ], "tags": [ "agent-framework", "genai", "llm", "pydantic", "python" ], "featured": false, "tier": "curated", "stars": 17445, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/pydantic/pydantic-ai/tree/main/mcp-run-python", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp", "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pydantic-pydantic-ai-mcp-run-python" }, { "slug": "pydantic-logfire-mcp", "name": "pydantic/logfire-mcp", "vendor": "Various", "tagline": "The Logfire MCP Server is here! :tada:", "description": "Logfire MCP Server serves Logfire logging/observability data via the Model Context Protocol, enabling AI assistants to query and act on telemetry. Built in Python, it exposes structured logs and metrics to compatible MCP clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Python developers using Logfire who want to expose observability data to AI assistants.", "useCases": [ "Enable an AI coding assistant to retrieve logs or errors from a running application.", "Allow AI agents to monitor and query observability data in real time.", "Integrate Logfire telemetry with MCP-compatible AI tools for debugging." ], "pros": [ "Tight integration with the Logfire ecosystem from pydantic.", "Open source with active community, 161 stars on GitHub.", "Provides structured context for AI tools via standard MCP protocol." ], "cons": [ "Requires a running Logfire instance and Python runtime.", "Limited to Python ecosystem; not a standalone service.", "Early-stage project may have breaking changes." ], "tags": [], "featured": false, "tier": "curated", "stars": 161, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/pydantic/logfire-mcp", "relations": { "works_in": [ "cline", "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [ "pydantic-pydantic-ai-mcp-run-python" ], "alternative_to": [ "netdata-netdata-netdata" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pydantic-logfire-mcp" }, { "slug": "pylonapi-pylon-mcp", "name": "pylonapi/pylon-mcp", "vendor": "Various", "tagline": "MCP server for Pylon AI — 10 pay-per-request APIs as AI agent tools. Powered by x402 on Base.", "description": "An MCP server that wraps 10 pay-per-request APIs from Pylon AI into tools for AI agents. It uses the x402 protocol on Base to handle payments per API call.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to call paid APIs with blockchain-based microtransactions.", "useCases": [ "Enable an AI agent to call external APIs with pay-per-use billing", "Integrate blockchain-based payment (x402 on Base) into agent workflows", "Expose a set of vetted APIs as MCP tools for agent frameworks" ], "pros": [ "Simple pay-per-request model avoids upfront subscription costs", "Supports multiple APIs through a single MCP interface", "Built on Base for transparent on-chain payments" ], "cons": [ "Zero stars and no community adoption yet", "Dependence on Base blockchain may add latency and gas fees", "Only 10 APIs included with no clear customization path" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "lastUpdated": "2026-02-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/pylonapi/pylon-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pylonapi-pylon-mcp" }, { "slug": "pyroprompts-any-chat-completions-mcp", "name": "pyroprompts/any-chat-completions-mcp", "vendor": "Various", "tagline": "MCP Server for using any LLM as a Tool", "description": "A Model Context Protocol server that wraps any OpenAI-compatible chat completions API as a tool. It exposes LLM calls as MCP tools, enabling integration with MCP-compatible clients like Claude Desktop or custom workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based agent workflows who need flexible LLM tool access", "useCases": [ "Call any LLM from within MCP-compatible environments", "Swap between different LLM providers without code changes", "Build workflows that chain LLM calls with other MCP tools" ], "pros": [ "Works with any OpenAI-compatible API, including local models", "Simple setup as a single MCP server", "Lightweight JavaScript implementation" ], "cons": [ "Requires MCP-compatible client or host to be useful", "Limited to chat completions endpoints, not other API features", "Relies on OpenAI API format, potential compatibility issues with non-standard APIs" ], "tags": [ "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 151, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2025-05-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/pyroprompts/any-chat-completions-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp", "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pyroprompts-any-chat-completions-mcp" }, { "slug": "pythia-the-oracle-pythia-oracle-mcp", "name": "pythia-the-oracle/pythia-oracle-mcp", "vendor": "Various", "tagline": "Every smart contract deserves intelligence, not just data. MCP server for on-chain calculated indicators (EMA, RSI, VWAP, Bollinger, volatility) via Chainlink.", "description": "An MCP server that calculates on-chain technical indicators (EMA, RSI, VWAP, Bollinger Bands, volatility) using Chainlink data feeds. It provides smart contracts with derived intelligence rather than raw price data.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Smart contract developers who need on-chain technical analysis indicators for DeFi protocols.", "useCases": [ "Incorporate RSI or EMA into DeFi trading strategies directly in smart contracts", "Compute on-chain volatility for risk management or derivative pricing", "Add Bollinger Band signals to automated market maker or lending protocols" ], "pros": [ "Delivers calculated indicators on-chain, reducing off-chain dependency", "Leverages Chainlink for reliable, decentralized price data", "Python implementation makes it accessible to a wide developer audience" ], "cons": [ "Depends on Chainlink infrastructure and its data availability", "Limited to the specified indicators without built-in extensibility", "No community traction (0 stars) indicating early stage or low adoption" ], "tags": [ "ai-agent", "chainlink", "crypto", "defi", "indicators", "mcp-server", "model-context-protocol", "on-chain" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/pythia-the-oracle/pythia-oracle-mcp", "relations": { "works_in": [ "cursor", "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pythia-the-oracle-pythia-oracle-mcp" }, { "slug": "pythonanywhere-pythonanywhere-mcp-server", "name": "pythonanywhere/pythonanywhere-mcp-server", "vendor": "Various", "tagline": "🐍 🏠 - MCP server implementation for PythonAnywhere cloud platform.", "description": "An MCP server that connects AI agents to the PythonAnywhere cloud platform. It implements the Model Context Protocol to allow agents to manage PythonAnywhere resources programmatically. Built in Python, it enables automated deployment and management tasks.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to manage PythonAnywhere environments.", "useCases": [ "Deploy Python web apps from AI agent commands", "Manage PythonAnywhere consoles and files via MCP", "Integrate PythonAnywhere into AI workflow automation" ], "pros": [ "Open source and community maintained", "Leverages standard MCP protocol for interoperability", "Lightweight Python implementation" ], "cons": [ "Low star count indicates limited community adoption", "Requires PythonAnywhere account and API credentials", "Documentation may be sparse due to early stage" ], "tags": [], "featured": false, "tier": "curated", "stars": 15, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/pythonanywhere/pythonanywhere-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp", "pydantic-pydantic-ai-mcp-run-python", "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pythonanywhere-pythonanywhere-mcp-server" }, { "slug": "pzalutski-pixel-javalens-mcp", "name": "pzalutski-pixel/javalens-mcp", "vendor": "Various", "tagline": "MCP server providing semantic Java code analysis for AI agents. Built on Eclipse JDT with tools for navigation, refactoring, search, and metrics.", "description": "This is an MCP server that gives AI agents semantic understanding of Java codebases using Eclipse JDT. It exposes tools for navigation, refactoring, search, and metrics so agents can perform structured code analysis.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Java developers building or extending AI-assisted coding workflows that need deep code understanding.", "useCases": [ "AI-assisted code navigation and class hierarchy exploration", "Automated Java refactoring suggestions within an MCP-aware editor", "Semantic search across a Java project for symbols and references" ], "pros": [ "Leverages Eclipse JDT for accurate Java semantics", "Provides concrete analysis tools directly to AI agents", "Lightweight integration via MCP protocol" ], "cons": [ "Limited to Java projects only", "Small community and low star count may mean less support", "Requires MCP-compatible client or agent setup" ], "tags": [ "ai-agents", "claude", "code-analysis", "code-intelligence", "developer-tools", "eclipse-jdt", "ide-tools", "java" ], "featured": false, "tier": "curated", "stars": 29, "language": [ "Java" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/pzalutski-pixel/javalens-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "lauriewired-ghidramcp", "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pzalutski-pixel-javalens-mcp" }, { "slug": "pzalutski-pixel-sharplens-mcp", "name": "pzalutski-pixel/sharplens-mcp", "vendor": "Various", "tagline": "Roslyn-powered MCP server for AI-driven C# semantic analysis, refactoring, and code generation", "description": "A Roslyn-powered MCP server for semantic analysis, refactoring, and code generation in C#. It exposes compiler capabilities through the Model Context Protocol for AI-driven interactions. The project is currently early stage with 17 stars on GitHub.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "C# developers exploring AI-assisted code analysis and refactoring", "useCases": [ "Perform semantic analysis on C# codebases", "Automate refactoring tasks via AI agents", "Generate C# code snippets based on project context" ], "pros": [ "Leverages Roslyn for accurate C# parsing and analysis", "Integrates with AI coding tools through the MCP standard", "Focused specifically on C# language services" ], "cons": [ "Small community (17 stars) limits support and examples", "Requires familiarity with both MCP and Roslyn to set up", "Documentation may be sparse due to early stage" ], "tags": [ "ai", "claude-code", "code-analysis", "csharp", "dotnet", "mcp", "roslyn", "semantic-analysis" ], "featured": false, "tier": "curated", "stars": 17, "language": [ "C#" ], "license": "MIT", "lastUpdated": "2026-05-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/pzalutski-pixel/sharplens-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp", "pydantic-pydantic-ai-mcp-run-python" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pzalutski-pixel-sharplens-mcp" }, { "slug": "pzfreo-build123d-mcp", "name": "pzfreo/build123d-mcp", "vendor": "Various", "tagline": "MCP server for build123d to improve AI cognition when creating 3D CAD models", "description": "A minimal MCP server that wraps build123d for use with AI coding assistants. It exposes build123d's 3D CAD primitives and operations as tool calls, enabling an LLM to generate structured Python scripts for parametric models.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Python developers who want to generate 3D models conversationally using build123d inside an MCP-enabled AI assistant.", "useCases": [ "Generate parametric 3D models via natural language prompts in an IDE", "Rapidly prototype CAD geometries with AI pair programming", "Iterate on design variations by re-running LLM-generated build123d scripts" ], "pros": [ "Low-friction integration with any MCP-compatible client like Claude Desktop", "Lets developers stay in a code-centric CAD workflow", "Tiny codebase making it easy to audit or extend" ], "cons": [ "Requires local Python environment with build123d and its dependencies", "No GUI preview or direct visualization output", "Limited to build123d's feature set and lacks support for other CAD kernels" ], "tags": [ "ai-tools", "build123d", "cad", "mcp", "mcp-server", "python3" ], "featured": false, "tier": "curated", "stars": 5, "language": [ "Python" ], "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/pzfreo/build123d-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "pydantic-pydantic-ai-mcp-run-python" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pzfreo-build123d-mcp" }, { "slug": "qainsights-jmeter-mcp-server", "name": "qainsights/jmeter-mcp-server", "vendor": "Various", "tagline": "✨ JMeter Meets AI Workflows: Introducing the JMeter MCP Server! 🤯", "description": "This tool is an MCP (Model Context Protocol) server that integrates Apache JMeter with AI workflows. It allows AI agents to execute JMeter performance tests, manage test plans, and retrieve results programmatically. Built in Python, it provides a standardized interface for AI tools to interact with JMeter.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-assisted performance testing workflows with JMeter", "useCases": [ "Running JMeter performance tests from AI chat interfaces", "Automating test execution and result collection via AI agents", "Integrating JMeter into MCP-compatible AI development workflows" ], "pros": [ "Provides a direct bridge between AI agents and JMeter without manual scripting", "Leverages the Model Context Protocol for standardized AI tool integration", "Open source with 67 GitHub stars and active development" ], "cons": [ "Relatively low star count (67) may indicate limited community adoption or maturity", "Requires understanding of both JMeter and MCP for effective use", "Dependence on JMeter installation and configuration may complicate setup" ], "tags": [ "apache-jmeter", "jmeter", "mcp", "model-context-protocol-servers", "performance" ], "featured": false, "tier": "curated", "stars": 67, "language": [ "Python" ], "lastUpdated": "2025-06-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/QAInsights/jmeter-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/qainsights-jmeter-mcp-server" }, { "slug": "qainsights-k6-mcp-server", "name": "qainsights/k6-mcp-server", "vendor": "Various", "tagline": "k6 MCP server", "description": "A Python-based MCP server for k6 load testing. It provides a server interface to manage and execute k6 tests. The project has 24 stars on GitHub.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need an MCP server interface for k6 load testing", "useCases": [ "Integrating k6 load tests with MCP-based automation workflows", "Running k6 tests programmatically through a server interface", "Managing test executions in distributed or remote environments" ], "pros": [ "Lightweight implementation in Python", "Open source and available for community contributions", "Enables protocol-based control of k6 tests" ], "cons": [ "Small community with limited adoption (24 stars)", "Potential lack of documentation or examples", "Unclear compatibility with newer k6 versions" ], "tags": [ "grafana", "k6", "mcp", "model-context-protocol", "performance-testing" ], "featured": false, "tier": "curated", "stars": 24, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-04-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/QAInsights/k6-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/qainsights-k6-mcp-server" }, { "slug": "qainsights-locust-mcp-server", "name": "qainsights/locust-mcp-server", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server implementation for running Locust load tests. This server enables seamless integration of Locust load testing capabilities with AI-powered dev", "description": "An MCP server that lets you run Locust load tests from AI coding assistants. It wraps Locust's distributed load testing engine behind the Model Context Protocol so tools like Claude can start, monitor, and stop tests programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to kick off Locust tests from an AI assistant without switching tools", "useCases": [ "Trigger a load test from a chat prompt during code review", "Check test results and failure rates without leaving the IDE", "Automate performance regression checks in a CI pipeline" ], "pros": [ "Brings load testing into conversational workflows", "Lightweight Python implementation with few dependencies", "Open source with a clear, focused scope" ], "cons": [ "Very early stage with only 12 GitHub stars", "Limited documentation and community support", "Requires a running Locust environment to be useful" ], "tags": [ "locust", "mcp", "mcp-server", "model-context-protocol", "performance-testing" ], "featured": false, "tier": "curated", "stars": 12, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-04-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/QAInsights/locust-mcp-server", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/qainsights-locust-mcp-server" }, { "slug": "qbt-labs-openmm-mcp", "name": "qbt-labs/openmm-mcp", "vendor": "Various", "tagline": "MCP server giving AI agents real crypto trading capabilities. 13+ tools for market data, order execution, grid strategies, and portfolio management across 4 exchanges", "description": "An MCP server that exposes 13+ cryptocurrency trading tools to AI agents. It provides market data, order execution, grid strategies, and portfolio management across four exchanges.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-powered crypto trading assistants or automated trading agents", "useCases": [ "Automating crypto trading strategies via AI agents", "Executing market orders programmatically through natural language", "Managing multi-exchange portfolios with grid strategies" ], "pros": [ "Supports real-time market data and order execution across 4 exchanges", "Includes grid strategy tools for automated trading workflows", "Open source and extendable for custom integrations" ], "cons": [ "Low GitHub stars suggest early stage and limited community support", "Documentation may be sparse or incomplete", "Only supports 4 exchanges, not all major ones" ], "tags": [ "ai-agents", "ai-agents-mcp", "cardano", "defi", "market-making", "mcp", "mcp-client", "mcp-server" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/qbt-labs/openmm-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/qbt-labs-openmm-mcp" }, { "slug": "qdrant-mcp-server-qdrant", "name": "qdrant/mcp-server-qdrant", "vendor": "Various", "tagline": "An official Qdrant Model Context Protocol (MCP) server implementation", "description": "An official Model Context Protocol (MCP) server for Qdrant vector database. It enables AI agents to perform semantic search, store and retrieve vector embeddings, and manage collections through the standardized MCP interface. Written in Python, it provides a direct bridge between MCP-compatible clients and Qdrant's vector storage capabilities.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-compatible AI agents that need vector search and memory via Qdrant", "useCases": [ "Building AI agents that need long-term memory via vector embeddings", "Enabling semantic search over documents or knowledge bases from an MCP client", "Integrating Qdrant vector storage into MCP-based agent workflows" ], "pros": [ "Official implementation maintained by Qdrant", "Leverages the MCP standard for interoperability with many AI clients", "Python-based, easy to extend or embed in existing Python projects" ], "cons": [ "Requires a running Qdrant instance (local or cloud) to function", "Limited to the MCP protocol; not a general-purpose Qdrant client", "Setup and configuration may be non-trivial for beginners" ], "tags": [ "claude", "cursor", "llm", "mcp", "mcp-server", "semantic-search", "windsurf" ], "featured": false, "tier": "curated", "stars": 1420, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-05-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/qdrant/mcp-server-qdrant", "relations": { "works_in": [], "uses": [ "qdrant" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/qdrant-mcp-server-qdrant" }, { "slug": "qgis-mcp", "name": "QGIS MCP", "vendor": "Various", "tagline": "Model Context Protocol (MCP) that allows LLMs to use QGIS Desktop", "description": "QGIS MCP implements the Model Context Protocol to enable LLMs to interact with QGIS Desktop. It acts as a bridge, allowing large language models to execute geospatial operations and manipulate QGIS projects programmatically via standard MCP interfaces.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-driven geospatial automation tools or GIS analysts who want to combine LLMs with QGIS", "useCases": [ "Automating GIS workflows through natural language commands", "Integrating QGIS functionality into LLM-powered agent pipelines", "Querying and visualizing geospatial data using conversational prompts" ], "pros": [ "Well-starred open source project with active community support", "Enables rapid geospatial analysis without manual QGIS UI interaction", "Leverages Python for extensibility and custom integration" ], "cons": [ "Requires a running QGIS Desktop instance and LLM connectivity", "Setup and configuration can be complex for non-developers", "Limited to operations exposed by the MCP server, not full QGIS API" ], "tags": [], "featured": false, "tier": "curated", "stars": 965, "language": [ "Python" ], "lastUpdated": "2025-10-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/jjsantos01/qgis_mcp", "relations": { "works_in": [ "cursor", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/qgis-mcp" }, { "slug": "qianniuspace-mcp-security-audit", "name": "qianniuspace/mcp-security-audit", "vendor": "Various", "tagline": "A powerful MCP (Model Context Protocol) Server that audits npm package dependencies for security vulnerabilities. Built with remote npm registry integration for real-time security", "description": "A Model Context Protocol server that checks npm package dependencies for known security vulnerabilities. It integrates with the remote npm registry to provide real-time audit results for developers using AI-assisted workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using MCP-compatible AI tools to audit npm package security", "useCases": [ "Scanning npm dependencies before deployment", "Integrating security checks into AI coding assistants", "Automating vulnerability detection in CI pipelines" ], "pros": [ "Real-time vulnerability checks via npm registry", "Lightweight MCP server that works with AI tools", "Open source with TypeScript" ], "cons": [ "Limited to npm packages only", "Requires network access to npm registry", "Relatively low community adoption (53 stars)" ], "tags": [ "audit", "model-context-protocol", "npm", "security" ], "featured": false, "tier": "curated", "stars": 53, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-07-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/qianniuspace/mcp-security-audit", "relations": { "works_in": [ "cline", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/qianniuspace-mcp-security-audit" }, { "slug": "qiniu-qiniu-mcp-server", "name": "qiniu/qiniu-mcp-server", "vendor": "Various", "tagline": "🐍 ☁️ - A MCP built on Qiniu Cloud products, supporting access to Qiniu Cloud Storage, media processing services, etc.", "description": "A Model Context Protocol server that exposes Qiniu Cloud storage and media processing services as resources and tools. It lets AI agents read files, store data, and trigger media operations directly through natural language or agent frameworks.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to interact with Qiniu Cloud storage and media services", "useCases": [ "Uploading and retrieving files from Qiniu Cloud Storage via an AI agent", "Triggering media transcoding or thumbnailing through agent queries", "Enabling agent-driven backups or content management on Qiniu infrastructure" ], "pros": [ "Provides a standardized MCP interface for a major Chinese cloud provider", "Written in Python, making it easy to extend or embed in Python-based agent stacks", "Targets file and media operations not commonly available in generic MCP servers" ], "cons": [ "Low community engagement (36 stars) suggests limited testing and few real-world examples", "Requires a paid Qiniu Cloud account and configuration of access keys", "Documentation is minimal beyond the GitHub README, so troubleshooting may be slow" ], "tags": [], "featured": false, "tier": "curated", "stars": 36, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-11-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/qiniu/qiniu-mcp-server", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/qiniu-qiniu-mcp-server" }, { "slug": "qq418716640-botbell-mcp", "name": "qq418716640/botbell-mcp", "vendor": "Various", "tagline": "BotBell MCP Server — Give Your AI a Voice", "description": "BotBell MCP Server is an open-source TypeScript implementation that provides voice output capabilities for AI systems via the Model Context Protocol. It allows MCP-compatible clients to give their AI agents a voice, likely through text-to-speech integration.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to prototype or add voice output to MCP-based AI systems with minimal overhead", "useCases": [ "Adding spoken responses to AI assistants and chatbots", "Enabling voice feedback in automated MCP workflows", "Integrating audio output into developer tools built on MCP" ], "pros": [ "Lightweight TypeScript codebase for easy integration", "Leverages the open MCP standard for interoperability", "Free and open source with no vendor lock-in" ], "cons": [ "No community adoption or usage metrics (zero stars)", "Limited or no documentation beyond the repository description", "Unknown stability and reliability without active development signals" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/qq418716640/botbell-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/qq418716640-botbell-mcp" }, { "slug": "qr-maker-io-mcp-server", "name": "qr-maker-io/mcp-server", "vendor": "Various", "tagline": "MCP server for QR Maker", "description": "An MCP server that generates QR codes via the QR Maker API. It exposes a tool for creating QR codes from text or URLs, returning the image data for use in AI workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing to add QR code generation to MCP-based AI assistants or automation pipelines", "useCases": [ "Generate QR codes for URLs in chat or automation tools", "Create QR codes from text snippets for quick sharing", "Integrate QR code generation into AI agent toolchains" ], "pros": [ "Simple single-purpose tool for QR code generation", "Works with any MCP-compatible client or host", "Lightweight TypeScript implementation" ], "cons": [ "Requires external QR Maker API access", "No offline or self-hosted QR generation", "Limited to basic text/URL input with no customization options" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/qr-maker-io/mcp-server", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/qr-maker-io-mcp-server" }, { "slug": "quackbackio-quackback", "name": "QuackbackIO/quackback", "vendor": "Various", "tagline": "Open source alternative to Canny, UserVoice, Productboard", "description": "Quackback is an open source feedback management tool that serves as an alternative to Canny, UserVoice, and Productboard. It is built with TypeScript and allows teams to collect, organize, and prioritize user feedback directly from their own infrastructure.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Teams that want full control over their feedback pipeline and prefer open source over SaaS subscriptions.", "useCases": [ "Self-hosting a customer feedback portal for product teams", "Collecting and voting on feature requests from users", "Prioritizing product roadmap items based on user input" ], "pros": [ "Open source with no vendor lock-in or per-user fees", "Lightweight and self-hosted, giving full data control", "TypeScript codebase for easier customization and integration" ], "cons": [ "Small community (109 stars) means limited support and plugins", "Requires self-hosting and maintenance effort", "Fewer features than mature commercial alternatives" ], "tags": [ "changelog", "customer-feedback", "feature-requests", "feedback", "feedback-collection", "product-management", "roadmaps", "self-hosted" ], "featured": false, "tier": "curated", "stars": 109, "language": [ "TypeScript" ], "license": "AGPL-3.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/QuackbackIO/quackback", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "canny" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/quackbackio-quackback" }, { "slug": "quantgeekdev-coincap-mcp", "name": "QuantGeekDev/coincap-mcp", "vendor": "Various", "tagline": "A coincap mcp server to access crypto data from coincap API", "description": "A TypeScript MCP server that exposes cryptocurrency data from the CoinCap API via the Model Context Protocol. It enables AI assistants to query live prices, market caps, and other market metrics without direct API calls.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need live cryptocurrency market data without direct vendor lock-in.", "useCases": [ "Retrieve real-time prices and market caps for cryptocurrencies", "Fetch historical price data for market analysis", "Integrate crypto stats into AI chat workflows" ], "pros": [ "TypeScript codebase provides type safety and clarity", "Uses the free and reliable CoinCap API", "Lightweight and easy to deploy as an MCP server" ], "cons": [ "Data is limited to what CoinCap provides (no on-chain metrics)", "Requires an MCP-compatible client to use", "No built-in caching, each query hits the API" ], "tags": [], "featured": false, "tier": "curated", "stars": 92, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-01-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/QuantGeekDev/coincap-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "mindsdb-mindsdb" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/quantgeekdev-coincap-mcp" }, { "slug": "quantgeekdev-docker-mcp", "name": "QuantGeekDev/docker-mcp", "vendor": "Various", "tagline": "A docker MCP Server (modelcontextprotocol)", "description": "A Python implementation of the Model Context Protocol (MCP) server for Docker. It enables AI agents to interact with Docker containers and resources via the MCP standard.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-powered Docker automation and tooling", "useCases": [ "Integrating Docker management with AI assistants", "Providing Docker context to MCP-compatible clients", "Automating container operations from AI models" ], "pros": [ "Focused implementation specifically for Docker and MCP", "Built in Python for easy customization and extension", "Open source with 480 stars indicating community interest" ], "cons": [ "Limited to Docker operations only, not a general MCP server", "Requires MCP-compatible clients to be useful", "May not cover all Docker API features" ], "tags": [], "featured": false, "tier": "curated", "stars": 480, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2024-12-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/QuantGeekDev/docker-mcp", "relations": { "works_in": [], "uses": [ "docker" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/quantgeekdev-docker-mcp" }, { "slug": "quantconnect-mcp-server", "name": "QuantConnect/mcp-server", "vendor": "Various", "tagline": "Official Python MCP server for local interactions with the QuantConnect API", "description": "This is an official Python server that implements the Model Context Protocol for local interactions with the QuantConnect API. It allows AI agents or tools to access QuantConnect’s algorithmic trading platform through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need direct, local access to QuantConnect’s algorithmic trading capabilities.", "useCases": [ "Building AI agents that can execute trades and retrieve market data via QuantConnect", "Integrating QuantConnect account management into custom development workflows", "Automating algorithmic trading strategies with context-aware model interactions" ], "pros": [ "Official tool from QuantConnect, ensuring API compatibility", "Uses the Model Context Protocol for standardized agent integration", "Pure Python implementation, easy to extend or embed" ], "cons": [ "Relatively small community (74 stars) may limit support and examples", "Requires a QuantConnect account and API key to function", "Python only, not available for other languages" ], "tags": [ "algorithmic-trading", "finance", "mcp", "quantitative-finance" ], "featured": false, "tier": "curated", "stars": 74, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-05-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/QuantConnect/mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "pydantic-pydantic-ai-mcp-run-python" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/quantconnect-mcp-server" }, { "slug": "quantoracledev-quantoracle", "name": "QuantOracledev/quantoracle", "vendor": "Various", "tagline": "63 deterministic quant computation tools for autonomous financial agents. Options, derivatives, risk, portfolio, statistics, crypto/DeFi, macro/FX, TVM. 1,000 free calls/day — no s", "description": "QuantOracledev/quantoracle is an open-source TypeScript library providing 63 deterministic quant computation tools for autonomous financial agents. It covers options, derivatives, risk, portfolio statistics, crypto/DeFi, macro/FX, and time value of money calculations. The tools offer 1,000 free calls per day with no signup required.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building autonomous trading or risk agents that need deterministic quant functions.", "useCases": [ "Running automated financial calculations within trading or risk bots", "Backtesting portfolio statistics and derivative pricing models", "Integrating deterministic quant functions into DeFi or macro analysis agents" ], "pros": [ "Deterministic outputs are reliable for automated agent workflows", "Broad coverage of financial domains in a single library", "High free tier (1,000 calls/day) with no signup barrier" ], "cons": [ "Limited to deterministic computations; no stochastic or simulation methods", "Dependency on a single GitHub repository for availability", "Crypto/DeFi tools may lag behind fast-changing protocols" ], "tags": [ "agentkit", "ai-agent", "backtesting", "black-scholes", "crypto", "defi", "derivatives", "fastapi" ], "featured": false, "tier": "curated", "stars": 5, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/QuantOracledev/quantoracle", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/quantoracledev-quantoracle" }, { "slug": "quantgeekdev-mongo-mcp", "name": "QuantGeekDev/mongo-mcp", "vendor": "Various", "tagline": "A mongo db server for the model context protocol (MCP)", "description": "An MCP (Model Context Protocol) server that enables LLMs and MCP-compatible clients to interact with MongoDB databases. It exposes MongoDB operations as tools and resources through the MCP standard.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based applications that need direct, programmatic access to MongoDB", "useCases": [ "Query MongoDB collections via natural language through an MCP client", "Perform CRUD operations on MongoDB documents from an LLM agent", "Integrate MongoDB data access into MCP-based development workflows" ], "pros": [ "Open-source and free to use", "Written in TypeScript for type safety and maintainability", "Leverages the MCP standard for broad compatibility with MCP clients" ], "cons": [ "Requires an MCP-compatible client or integration to function", "Limited to the operations exposed through the MCP protocol", "May lack advanced MongoDB features or administrative capabilities" ], "tags": [], "featured": false, "tier": "curated", "stars": 173, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-03-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/QuantGeekDev/mongo-mcp", "relations": { "works_in": [ "cline", "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/quantgeekdev-mongo-mcp" }, { "slug": "quanttogo-quanttogo-mcp", "name": "QuantToGo/quanttogo-mcp", "vendor": "Various", "tagline": "Macro-factor quantitative signal source for AI agents via MCP. 宏观因子量化信号源。", "description": "QuantToGo/quanttogo-mcp is a Python-based MCP server that provides macro-factor quantitative signals to AI agents. It exposes structured financial data through the Model Context Protocol, enabling agents to consume factor-based market signals.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need structured macro-factor financial signals", "useCases": [ "Feed macro-factor signals into an AI trading or analysis agent", "Integrate quantitative market data into agent workflows via MCP", "Build automated research pipelines that consume factor-based indicators" ], "pros": [ "Leverages the MCP standard for agent-tool interoperability", "Python codebase is straightforward to extend or customize", "Focused on macro-factor signals, a niche but valuable data type" ], "cons": [ "Very early stage with only 6 GitHub stars and limited community", "No documentation or usage examples beyond the repository name", "Dependency on external macro-factor data sources not specified" ], "tags": [ "ai-agent", "algorithmic-trading", "macro-factors", "mcp", "mcp-server", "model-context-protocol", "quantitative-finance", "quantitative-trading" ], "featured": false, "tier": "curated", "stars": 6, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/QuantToGo/quanttogo-mcp", "relations": { "works_in": [ "claude-code", "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/quanttogo-quanttogo-mcp" }, { "slug": "quantum3-labs-arbuilder", "name": "Quantum3-Labs/ARBuilder", "vendor": "Various", "tagline": "AI-powered code generator for Arbitrum Stylus, SDK bridging, dApps & Orbit chains — 19 MCP tools with RAG", "description": "ARBuilder is an open-source TypeScript code generator for Arbitrum Stylus smart contracts, dApps, and Orbit chains. It provides 19 MCP tools with retrieval-augmented generation to assist contract development and SDK bridging.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building smart contracts and dApps specifically on Arbitrum Stylus or Orbit chains", "useCases": [ "Generate Arbitrum Stylus smart contract boilerplate code", "Bridge and integrate Arbitrum SDK components", "Develop and deploy dApps on Orbit chains" ], "pros": [ "Open-source with permissive reuse on GitHub", "Offers many MCP tools covering various development tasks", "Uses RAG to improve code generation relevance" ], "cons": [ "Low community traction with only 23 stars", "Limited documentation or examples beyond the repository", "Niche focus only on Arbitrum Stylus and Orbit chains" ], "tags": [ "ai-code-generation", "arbitrium", "claude", "cursor", "developer-tools", "mcp", "model-context-protocol", "orbit-sdk" ], "featured": false, "tier": "curated", "stars": 23, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/Quantum3-Labs/ARBuilder", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/quantum3-labs-arbuilder" }, { "slug": "quarkiverse-mcp-server-jdbc", "name": "quarkiverse/mcp-server-jdbc", "vendor": "Various", "tagline": "Model Context Protocol Servers in Quarkus", "description": "Provides a Model Context Protocol (MCP) server for JDBC databases, built on Quarkus. It allows LLMs to query and interact with relational databases through a standard JDBC interface, enabling structured data access for AI tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI tools that require direct, secure access to relational databases.", "useCases": [ "Expose a relational database schema to an MCP-compatible AI agent.", "Enable natural language querying of SQL databases via an LLM.", "Integrate database access into MCP-based development workflows." ], "pros": [ "Leverages Quarkus for fast startup and low memory footprint.", "Standard JDBC support means compatibility with many databases.", "Part of the quarkiverse-mcp-servers ecosystem for easy deployment." ], "cons": [ "Requires a Java runtime environment.", "Limited to JDBC-compatible databases (no NoSQL or cloud-specific APIs).", "May need manual configuration for complex or large schemas." ], "tags": [ "mcp", "quarkus-app" ], "featured": false, "tier": "curated", "stars": 193, "language": [ "Java" ], "license": "Apache-2.0", "lastUpdated": "2026-04-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/quarkiverse/quarkus-mcp-servers/tree/main/jdbc", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/quarkiverse-mcp-server-jdbc" }, { "slug": "quentincody-braintree-mcp-server", "name": "QuentinCody/braintree-mcp-server", "vendor": "Various", "tagline": "🐍 - Unofficial PayPal Braintree payment gateway MCP Server for AI agents to process payments, manage customers, and handle transactions securely.", "description": "An unofficial MCP server that connects AI agents to the PayPal Braintree payment gateway. It exposes tools for processing payments, managing customers, and handling transactions through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to automate Braintree payment operations", "useCases": [ "Process payments and refunds via AI agent interactions", "Manage customer profiles and payment methods programmatically", "Handle transaction lookups and reporting through agent workflows" ], "pros": [ "Enables AI agents to directly interact with Braintree's payment API", "Written in Python, easy to integrate into Python-based agent stacks", "Open source with a permissive license for customization" ], "cons": [ "Unofficial project with only 3 GitHub stars, limited community support", "Requires self-hosting and managing Braintree API credentials securely", "May lack full coverage of Braintree's API features or error handling" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "Python" ], "lastUpdated": "2025-05-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/QuentinCody/braintree-mcp-server", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/quentincody-braintree-mcp-server" }, { "slug": "quentincody-catalysishub-mcp-server", "name": "QuentinCody/catalysishub-mcp-server", "vendor": "Various", "tagline": "🐍 - Unofficial MCP server for searching and retrieving scientific data from the Catalysis Hub database, providing access to computational catalysis research and surface reaction d", "description": "An unofficial MCP server for searching and retrieving scientific data from the Catalysis Hub database. It provides programmatic access to computational catalysis research and surface reaction datasets. The server implements the Model Context Protocol to interface with the Catalysis Hub API.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Researchers and developers needing to query Catalysis Hub data programmatically", "useCases": [ "Search for catalysis reaction data", "Retrieve surface reaction datasets", "Integrate catalysis research into AI workflows" ], "pros": [ "Provides programmatic access to a specialized catalysis database", "Open source and Python-based for easy customization", "Enables integration with MCP-compatible tools" ], "cons": [ "Unofficial tool with limited support or documentation", "Low community adoption (1 star)", "May break if the Catalysis Hub API changes" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "lastUpdated": "2025-05-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/QuentinCody/catalysishub-mcp-server", "relations": { "works_in": [ "claude-code", "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/quentincody-catalysishub-mcp-server" }, { "slug": "quentincody-shopify-storefront-mcp-server", "name": "QuentinCody/shopify-storefront-mcp-server", "vendor": "Various", "tagline": "🐍 ☁️ - Unofficial MCP server that allows AI agents to discover Shopify storefronts and interact with them to fetch products, collections, and other store data through the Storefro", "description": "An unofficial MCP server that enables AI agents to discover Shopify storefronts and fetch products, collections, and other store data through the Storefront API. It is written in Python and provides a standardized interface for AI tools to interact with Shopify store information.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to programmatically access Shopify storefront data", "useCases": [ "Fetching product listings from a Shopify store for AI analysis", "Retrieving collection data to power AI-driven recommendations", "Integrating Shopify storefront data into custom AI agent workflows" ], "pros": [ "Open source and written in Python, making it accessible for many developers", "Provides a standardized MCP interface for AI agents to query Shopify data", "Lightweight and focused on storefront data retrieval" ], "cons": [ "Unofficial project with limited community support and documentation", "Low star count (8) suggests early stage or niche adoption", "May lack comprehensive error handling or advanced Shopify API features" ], "tags": [], "featured": false, "tier": "curated", "stars": 8, "language": [ "Python" ], "lastUpdated": "2025-06-03", "addedAt": "2026-06-01", "officialLink": "https://github.com/QuentinCody/shopify-storefront-mcp-server", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/quentincody-shopify-storefront-mcp-server" }, { "slug": "quentincody-github-graphql-mcp-server", "name": "QuentinCody/github-graphql-mcp-server", "vendor": "Various", "tagline": "🐍 ☁️ - Unofficial GitHub MCP server that provides access to GitHub's GraphQL API, enabling more powerful and flexible queries for repository data, issues, pull requests, and other", "description": "An unofficial MCP server that exposes GitHub's GraphQL API through the Model Context Protocol. Written in Python, it allows MCP clients to run arbitrary GraphQL queries against repositories, issues, pull requests, and more.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers already using MCP who need to make complex, multi-step GitHub queries in a single call.", "useCases": [ "Query pull request review comments with filters not available via REST", "Fetch nested repository data in a single request (e.g. stargazers + recent issues)", "Automate GitHub data extraction for custom dashboards or CI analysis" ], "pros": [ "Leverages full power of GitHub GraphQL for flexible, precise queries", "Easy to integrate with any MCP-compatible client or agent", "Open source with permissive license, no vendor lock-in" ], "cons": [ "Unofficial project with only 12 stars, limited community support", "Requires understanding of GraphQL syntax and GitHub's schema", "Authentication and rate limiting handled by user's own GitHub token" ], "tags": [], "featured": false, "tier": "curated", "stars": 12, "language": [ "Python" ], "lastUpdated": "2025-08-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/QuentinCody/github-graphql-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/quentincody-github-graphql-mcp-server" }, { "slug": "quietnotion-barevalue-mcp", "name": "quietnotion/barevalue-mcp", "vendor": "Various", "tagline": "MCP server for Barevalue AI podcast editing API. Submit and manage podcast editing orders from Claude Code, Cursor, and other MCP-compatible tools.", "description": "An MCP server that connects Claude Code, Cursor, and other MCP-compatible tools to the Barevalue AI podcast editing API. It lets developers submit and manage podcast editing orders directly from their coding environment.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who use MCP-compatible tools and need to automate podcast editing orders through Barevalue.", "useCases": [ "Submit podcast editing jobs from Claude Code or Cursor", "Check the status of submitted editing orders", "Manage multiple editing requests programmatically" ], "pros": [ "Integrates podcast editing into existing MCP workflows", "Simple JavaScript implementation with low star count but clear purpose", "Reduces context switching for developers who also produce podcasts" ], "cons": [ "Very early stage with only 1 star and limited community adoption", "Depends entirely on the Barevalue API which may change or have limited availability", "No documentation beyond the repository description" ], "tags": [ "ai", "audio-editing", "claude", "mcp", "mcp-server", "model-context-protocol", "podcast" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "JavaScript" ], "lastUpdated": "2026-02-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/quietnotion/barevalue-mcp", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/quietnotion-barevalue-mcp" }, { "slug": "qune-tech-ocds-mcp", "name": "qune-tech/ocds-mcp", "vendor": "Various", "tagline": "MCP server for German public procurement data — semantic search and tender matching for Claude, GPT, Cursor, and LM Studio", "description": "A Rust-based MCP server that enables semantic search and tender matching across German public procurement data. It provides an API for large language models like Claude, GPT, Cursor, and LM Studio to query and match procurement notices.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need to search or match German public tenders", "useCases": [ "Searching for relevant public tenders by natural language description", "Matching procurement notices to supplier capabilities or project needs", "Integrating procurement discovery into an AI-assisted workflow" ], "pros": [ "Provides a specialized interface for German procurement data", "Written in Rust for performance and reliability", "Works across multiple popular LLM platforms" ], "cons": [ "Limited to German public procurement data only", "Small project with only 3 stars, indicating a nascent community", "Requires setup and integration with an MCP-compatible client" ], "tags": [ "claude", "cursor", "lm-studio", "mcp", "mcp-server", "ocds", "onnx", "procurement" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "Rust" ], "license": "MIT", "lastUpdated": "2026-03-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/qune-tech/ocds-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/qune-tech-ocds-mcp" }, { "slug": "r-huijts-firstcycling-mcp", "name": "r-huijts/firstcycling-mcp", "vendor": "Various", "tagline": "This is a Model Context Protocol (MCP) server that provides professional cycling data from FirstCycling. It allows you to retrieve information about professional cyclists, race res", "description": "This is a Model Context Protocol (MCP) server that exposes professional cycling data from FirstCycling. It retrieves information about professional cyclists, race results, and more. Built in Python, it integrates with the Model Context Protocol for use in AI assistants or data pipelines.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building cycling-related data applications or AI tools", "useCases": [ "Building a cycling race results query tool for an AI assistant", "Creating a chatbot that answers questions about professional cyclists", "Feeding race data into a sports analytics pipeline" ], "pros": [ "Provides structured access to FirstCycling data via MCP", "Simple Python implementation for easy integration", "Open source with permissive use" ], "cons": [ "Small community with only 18 stars and limited activity", "Depends on FirstCycling's website, which may change without notice", "Limited to professional cycling data only" ], "tags": [], "featured": false, "tier": "curated", "stars": 18, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-08-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/r-huijts/firstcycling-mcp", "relations": { "works_in": [ "claude-code", "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/r-huijts-firstcycling-mcp" }, { "slug": "r-huijts-ethics-check-mcp", "name": "r-huijts/ethics-check-mcp", "vendor": "Various", "tagline": "🐍 🏠 - MCP server for comprehensive ethical analysis of AI conversations, detecting bias, harmful content, and providing critical thinking assessments with automated pattern learn", "description": "A JavaScript-based MCP server that performs structured ethical analysis of AI conversations. It scans for bias, harmful content, and reasoning pitfalls, while automatically learning from flagged patterns to improve future assessments.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building safer AI systems who need an automated, integrable tool for ongoing ethical monitoring.", "useCases": [ "Audit chatbot logs for biased or harmful responses before deployment", "Embed real-time ethical guardrails into custom AI assistants", "Analyze conversation datasets to train more responsible language models" ], "pros": [ "Automated pattern learning reduces manual oversight over time", "Focuses on concrete, actionable detection of bias and harm", "Integrates as an MCP server for easy addition to existing AI workflows" ], "cons": [ "Limited to the ethical dimensions its detection logic covers", "Requires MCP-compatible infrastructure to function", "Pattern learning effectiveness depends on volume and quality of input" ], "tags": [], "featured": false, "tier": "curated", "stars": 4, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2025-06-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/r-huijts/ethics-check-mcp", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/r-huijts-ethics-check-mcp" }, { "slug": "r-huijts-ns-mcp-server", "name": "r-huijts/ns-mcp-server", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server that provides access to NS (Dutch Railways) travel information through Claude AI. This server enables Claude to fetch real-time train travel i", "description": "A TypeScript-based MCP server bridging Claude AI with the official Dutch NS API. It lets Claude query real-time train schedules, disruptions, and travel information for the Netherlands rail network.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and travelers in the Netherlands who want real-time rail info accessible through Claude chat.", "useCases": [ "Ask Claude for live Dutch train departure times or delays", "Get disruption alerts and maintenance updates for NS routes", "Plan multi-leg train journeys by querying schedules via chat" ], "pros": [ "Tight integration with official NS API for accurate live data", "Simple setup as an MCP server for Claude users", "Moderate community traction with 54 stars on GitHub" ], "cons": [ "Limited to Netherlands rail data only (no international routes)", "Depends on Claude desktop or compatible MCP client to use", "Requires an NS API key, adding a registration step" ], "tags": [], "featured": false, "tier": "curated", "stars": 54, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-08-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/r-huijts/ns-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp", "lharries-whatsapp-mcp", "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/r-huijts-ns-mcp-server" }, { "slug": "r-huijts-oorlogsbronnen-mcp", "name": "r-huijts/oorlogsbronnen-mcp", "vendor": "Various", "tagline": "MCP server for accessing Dutch World War II archives through the Oorlogsbronnen API. Provides structured access to historical records, photographs, and documents from 1940-1945 Net", "description": "A TypeScript MCP server that provides structured access to Dutch World War II archives via the Oorlogsbronnen API. It enables querying historical records, photographs, and documents from the Netherlands during 1940-1945.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building tools for WWII history research focused on the Netherlands", "useCases": [ "Retrieving historical records about WWII events in the Netherlands", "Searching for photographs and documents from 1940-1945", "Integrating Dutch war archive data into research or genealogy workflows" ], "pros": [ "Direct access to a specialized WWII archive through a standard MCP interface", "Written in TypeScript with clear structure for integration", "Targets a niche data source often missing from general-purpose tools" ], "cons": [ "Limited to Oorlogsbronnen API data only", "Small community (15 stars) with minimal adoption or support", "Requires understanding of the Dutch language and WWII-specific terminology" ], "tags": [], "featured": false, "tier": "curated", "stars": 15, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-05-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/r-huijts/oorlogsbronnen-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/r-huijts-oorlogsbronnen-mcp" }, { "slug": "r-huijts-opentk-mcp", "name": "r-huijts/opentk-mcp", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server providing access to Dutch parliamentary data (Tweede Kamer) through OpenTK . This server enables AI assistants to search, retrieve, and analyz", "description": "An MCP server that exposes Dutch parliamentary data from the Tweede Kamer via OpenTK. It allows AI assistants to search, retrieve, and analyze parliamentary documents, activities, and information published by the Dutch parliament.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that require direct access to Dutch parliamentary records", "useCases": [ "Search and retrieve Dutch parliamentary documents through AI assistants", "Analyze parliamentary activities and voting records programmatically", "Integrate Dutch legislative data into AI-powered research or monitoring tools" ], "pros": [ "Provides standardized MCP access to a specific, valuable government dataset", "Open source with a clear focus on Dutch parliamentary data", "Enables AI assistants to access real parliamentary information without scraping" ], "cons": [ "Limited to the Dutch Tweede Kamer only, no other parliaments or governments", "Low community adoption (20 stars) may imply slower updates or limited support", "Repository is primarily HTML, suggesting minimal code or documentation depth" ], "tags": [], "featured": false, "tier": "curated", "stars": 20, "language": [ "HTML" ], "license": "MIT", "lastUpdated": "2025-10-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/r-huijts/opentk-mcp", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/r-huijts-opentk-mcp" }, { "slug": "r-huijts-rijksmuseum-mcp", "name": "r-huijts/rijksmuseum-mcp", "vendor": "Various", "tagline": "Rijksmuseum MCP integration for artwork exploration and analysis", "description": "An MCP server that connects to the Rijksmuseum API, enabling artwork search and metadata retrieval. Developers can query collection objects, access image URLs, and filter by artist, material, or period through MCP-compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building art-oriented chat tools or data pipelines using the Rijksmuseum API", "useCases": [ "Browse Rijksmuseum collection by keyword or artist name", "Retrieve high-resolution image URLs and object details for analysis", "Build an art discovery tool using MCP-based chat interfaces" ], "pros": [ "Simplifies access to a major museum API via the MCP protocol", "Written in JavaScript, easy to integrate with Node.js projects", "Active maintenance with growing community (68 stars)" ], "cons": [ "Requires a free Rijksmuseum API key, adding setup friction", "Limited to the Rijksmuseum collection (no multi-museum support)", "Documentation assumes familiarity with MCP server configuration" ], "tags": [], "featured": false, "tier": "curated", "stars": 68, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2025-02-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/r-huijts/rijksmuseum-mcp", "relations": { "works_in": [ "cursor", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/r-huijts-rijksmuseum-mcp" }, { "slug": "r-huijts-strava-mcp", "name": "r-huijts/strava-mcp", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server that connects to Strava API, providing tools to access Strava data through LLMs", "description": "This MCP server exposes Strava API data to LLMs through the Model Context Protocol. It provides tools for querying athlete activities, segments, and other Strava resources directly from a chat interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants or tools that need to query and analyze Strava activity data through natural language.", "useCases": [ "Retrieve recent activities and performance metrics via natural language queries", "Analyze segment efforts and compare personal records across time", "Build an LLM-powered coaching assistant that accesses Strava data" ], "pros": [ "Open source with active community (427 stars) and clear TypeScript codebase", "Leverages the MCP standard, making integration straightforward for any MCP-compatible LLM client", "Reduces boilerplate by handling Strava API authentication and request formatting" ], "cons": [ "Relies on Strava API rate limits, which may throttle frequent requests", "OAuth setup required for each user, adding friction for multi-user deployments", "Limited to read-only data exposed by Strava API (no write support for creating activities)" ], "tags": [], "featured": false, "tier": "curated", "stars": 427, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/r-huijts/strava-mcp", "relations": { "works_in": [ "cursor", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/r-huijts-strava-mcp" }, { "slug": "r33drichards-mcp-js", "name": "r33drichards/mcp-js", "vendor": "Various", "tagline": "MCP server that exposes a V8 JavaScript runtime as a tool for AI agents like Claude and Cursor. Supports persistent heap snapshots via S3 or local filesystem, and is ready for inte", "description": "An MCP server that exposes a V8 JavaScript runtime as a tool for AI agents such as Claude and Cursor. It supports persistent heap snapshots via S3 or the local filesystem, enabling state to survive restarts. The server is written in Rust and designed for integration with modern AI development environments.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to execute and persist JavaScript state", "useCases": [ "Executing JavaScript code from AI agents during conversations", "Persisting runtime state across sessions using heap snapshots", "Integrating JavaScript execution into Claude or Cursor workflows" ], "pros": [ "Written in Rust for performance and safety", "Persistent heap snapshots allow state to survive restarts", "Designed for direct integration with popular AI agents like Claude and Cursor" ], "cons": [ "Small community with only 43 stars, limited testing and support", "Requires MCP-compatible agents, not a standalone runtime", "Relies on S3 or local filesystem for snapshot storage, adding external dependencies" ], "tags": [ "javascript", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 43, "language": [ "Rust" ], "license": "AGPL-3.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/r33drichards/mcp-js", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/r33drichards-mcp-js" }, { "slug": "r-huijts-xcode-mcp-server", "name": "r-huijts/xcode-mcp-server", "vendor": "Various", "tagline": "MCP Server implementation for Xcode integration", "description": "An MCP server that connects AI assistants to Xcode, enabling project management and code editing via the Model Context Protocol. It exposes Xcode project files and build commands through a standardized interface for agentic tool use.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "iOS/macOS developers who want to automate Xcode workflows via AI assistants", "useCases": [ "Automate Xcode project file modifications from an AI assistant", "Trigger Xcode builds and retrieve error logs programmatically", "Navigate and inspect Swift project structures without opening Xcode" ], "pros": [ "Direct integration with Xcode without manual scripting", "Open source with active community (377 stars)", "Written in TypeScript, easy to extend or debug" ], "cons": [ "Requires Xcode to be installed and running on the same machine", "Limited to macOS environments only", "Depends on the MCP protocol, which is still evolving" ], "tags": [], "featured": false, "tier": "curated", "stars": 377, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-02-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/r-huijts/xcode-mcp-server", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/r-huijts-xcode-mcp-server" }, { "slug": "raalarcon9705-jira-mcp", "name": "raalarcon9705/jira-mcp", "vendor": "Various", "tagline": "Open source MCP server for Jira & Atlassian — manage issues, sprints & Confluence via Claude, Cursor, or any MCP client. No install, just npx.", "description": "An open source MCP server that connects Jira and Atlassian tools to any MCP client. It enables managing issues, sprints, and Confluence directly from tools like Claude or Cursor. Run it with a single npx command, no installation needed.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want a lightweight, code-driven bridge between AI tools and Atlassian products", "useCases": [ "Manage Jira issues from an AI assistant or chat interface", "Update sprint status and assign tasks from a coding environment", "Query Confluence documentation through a conversational client" ], "pros": [ "Open source with TypeScript codebase for easy customization", "Zero-install execution via npx simplifies setup", "Compatible with multiple MCP clients like Claude and Cursor" ], "cons": [ "Low GitHub star count may indicate limited community or maturity", "Requires valid Jira and Confluence credentials and network access", "May not support every Jira or Confluence operation out of the box" ], "tags": [ "agile", "ai-tools", "atlassian", "atlassian-cloud", "claude", "claude-desktop", "confluence", "cursor" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/raalarcon9705/jira-mcp", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "sooperset-mcp-atlassian" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/raalarcon9705-jira-mcp" }, { "slug": "rad-security-mcp-server", "name": "rad-security/mcp-server", "vendor": "Various", "tagline": "Rad Security MCP Server", "description": "A TypeScript-based MCP server that exposes Rad Security's capabilities to AI agents via the Model Context Protocol. It enables AI tools to query security data or trigger actions through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to interact with Rad Security's security platform", "useCases": [ "Connecting AI assistants to Rad Security's vulnerability scanning data", "Automating security incident response workflows with AI agents", "Integrating Rad Security alerts into AI-powered monitoring dashboards" ], "pros": [ "Open-source and built with TypeScript for type safety", "Follows the MCP standard for interoperability with AI frameworks", "Lightweight server with minimal dependencies" ], "cons": [ "Very low community adoption (6 stars) suggests limited testing and support", "Documentation and usage examples may be sparse", "Tied to Rad Security's platform, not useful outside that ecosystem" ], "tags": [], "featured": false, "tier": "curated", "stars": 6, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/rad-security/mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "awslabs-mcp", "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/rad-security-mcp-server" }, { "slug": "radareorg-r2mcp", "name": "radareorg/r2mcp", "vendor": "Various", "tagline": "MCP stdio server for radare2", "description": "A Model Context Protocol server that exposes radare2's binary analysis capabilities via stdio, allowing LLMs to inspect and manipulate binaries through structured conversations. It bridges the gap between AI assistants and low-level reverse engineering by turning radare2 commands into callable tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Security researchers and reverse engineers who want to augment their workflow with LLM-driven binary analysis", "useCases": [ "Reverse engineering binaries with conversational AI assistance", "Automated vulnerability research and binary inspection", "Interactive binary analysis through LLM-driven command execution" ], "pros": [ "Direct integration with radare2's powerful analysis engine", "Leverages the standard MCP protocol for broad AI tool compatibility", "Lightweight stdio interface with no additional network dependencies" ], "cons": [ "Requires familiarity with radare2 commands and its extensive ecosystem", "Limited to architectures and file formats supported by radare2", "Primarily designed for CLI use, lacking a graphical interface" ], "tags": [], "featured": false, "tier": "curated", "stars": 243, "language": [ "C" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/radareorg/radare2-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "lauriewired-ghidramcp", "mrexodia-ida-pro-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/radareorg-r2mcp" }, { "slug": "rae-api-com-rae-mcp", "name": "rae-api-com/rae-mcp", "vendor": "Various", "tagline": "MPC Server to connect your preferred model with rae-api.com", "description": "rae-mcp is a Go-based MCP server that bridges your preferred AI model with the rae-api.com platform. It exposes a standardized interface for models to interact with rae-api.com endpoints.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to connect their AI models to rae-api.com via the MCP protocol", "useCases": [ "Connect a custom AI model to rae-api.com services", "Integrate rae-api.com capabilities into MCP-compatible workflows", "Build tooling that routes model requests through rae-api.com" ], "pros": [ "Lightweight Go implementation with minimal dependencies", "Standard MCP protocol enables broad model compatibility", "Simple setup for developers already using rae-api.com" ], "cons": [ "Tied to rae-api.com platform, not a general-purpose MCP server", "Very low community engagement (5 stars, no recent activity)", "Limited documentation and usage examples available" ], "tags": [ "api", "golang", "mcp-server", "rae", "rae-api" ], "featured": false, "tier": "curated", "stars": 5, "language": [ "Go" ], "lastUpdated": "2025-09-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/rae-api-com/rae-mcp", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/rae-api-com-rae-mcp" }, { "slug": "rafapra3008-cervellaswarm", "name": "rafapra3008/cervellaswarm", "vendor": "Various", "tagline": "Lingua Universale -- a verification language for AI agent protocols. Like mypy for multi-agent communication. 3696 tests, zero deps.", "description": "A verification language for AI agent protocols similar to how mypy works for Python. It uses 3696 tests to check multi-agent communication with zero external dependencies.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers constructing custom multi-agent systems that need strict protocol verification", "useCases": [ "Verify communication protocols between autonomous AI agents", "Ensure type safety in multi-agent message exchanges", "Test agent interactions without runtime overhead" ], "pros": [ "Extensive test suite (3696 tests) provides high verification coverage", "Zero dependencies keeps the tool lightweight and easy to integrate", "Focused specifically on multi-agent protocol correctness" ], "cons": [ "Very low community adoption (8 GitHub stars) suggests limited real-world use", "Lack of integrations with popular agent frameworks may require custom setup", "Documentation and examples likely minimal given the early stage" ], "tags": [ "ai-agents", "formal-verification", "mcp", "programming-language", "protocol-verification", "session-types" ], "featured": false, "tier": "curated", "stars": 8, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/rafapra3008/cervellaswarm/tree/main/packages/mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "autogen", "metagpt" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/rafapra3008-cervellaswarm" }, { "slug": "rafsilva85-credit-optimizer-v5", "name": "rafsilva85/credit-optimizer-v5", "vendor": "Various", "tagline": "Save 47% on Manus AI credits automatically. Zero downsides. Pays for itself in ~27 prompts. Free MCP Server (PyPI) + $12 Manus Skill bundle with Fast Navigation (115x speed boost).", "description": "A Python-based MCP server that reduces Manus AI credit consumption by 47% through prompt optimization and fast navigation. It bundles a free PyPI package with a $12 Manus Skill add-on that claims a 115x speed boost. The tool pays for itself after approximately 27 prompts.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who frequently use Manus AI and want to reduce operational costs", "useCases": [ "Cut Manus AI credit costs during heavy batch processing", "Accelerate repetitive navigation tasks within Manus AI", "Integrate credit-saving optimizations into existing Python workflows" ], "pros": [ "Delivers a measurable 47% reduction in credit usage", "Quick payback period of roughly 27 prompts", "Free MCP server with optional paid skill upgrade" ], "cons": [ "Limited to Manus AI platform only", "Speed boost claims depend on the paid $12 bundle", "Small community with only 38 GitHub stars" ], "tags": [ "ai-agents", "ai-tools", "cost-optimization", "credit-optimizer", "manus-ai", "manus-skill", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 38, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/rafsilva85/credit-optimizer-v5", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/rafsilva85-credit-optimizer-v5" }, { "slug": "ragieai-mcp-server", "name": "ragieai/mcp-server", "vendor": "Various", "tagline": "Ragie Model Context Protocol Server", "description": "Ragie Model Context Protocol Server is an open-source JavaScript server that implements the Model Context Protocol (MCP) for connecting AI agents to retrieval-augmented generation (RAG) pipelines. It exposes a standardized interface for agents to query and retrieve context from external knowledge bases via the Ragie API.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-compatible AI agents that need RAG context from Ragie knowledge bases", "useCases": [ "Connect an MCP-compatible AI agent to a Ragie knowledge base for context retrieval", "Build a retrieval-augmented generation pipeline with a standardized protocol interface", "Integrate external document search into agent workflows without custom API code" ], "pros": [ "Implements the emerging MCP standard for agent-to-tool communication", "Lightweight JavaScript server with minimal dependencies", "Open source with 86 stars and active community potential" ], "cons": [ "Requires a Ragie API key and account, adding a third-party dependency", "Limited to MCP-compatible agents, not a general-purpose RAG solution", "Small community and early-stage project with limited documentation" ], "tags": [], "featured": false, "tier": "curated", "stars": 86, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-02-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/ragieai/ragie-mcp-server", "relations": { "works_in": [ "cline", "continue", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "vectorize-io-hindsight", "upstash-context7" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ragieai-mcp-server" }, { "slug": "rai220-think-mcp", "name": "Rai220/think-mcp", "vendor": "Various", "tagline": "MCP Server for reasoning", "description": "An MCP server that exposes a reasoning endpoint for AI agents. Built in Python, it enables models to perform step-by-step reasoning through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based AI agents needing a simple reasoning module", "useCases": [ "Adding a reasoning step to MCP-based AI agents", "Providing an intermediate thinking process for LLM calls", "Testing and prototyping reasoning capabilities in MCP clients" ], "pros": [ "Lightweight and focused on a single reasoning function", "Written in Python, easy to extend or debug", "Compatible with the growing MCP ecosystem" ], "cons": [ "Small user base and limited community support", "Early stage project with minimal documentation", "Narrow scope may not suit complex reasoning workflows" ], "tags": [], "featured": false, "tier": "curated", "stars": 102, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/Rai220/think-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "eyaltoledano-claude-task-master", "executeautomation-playwright-mcp-server", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/rai220-think-mcp" }, { "slug": "raohwork-forgejo-mcp", "name": "raohwork/forgejo-mcp", "vendor": "Various", "tagline": "A MCP server that enables you to manage Gitea/Forgejo repositories through AI assistants", "description": "A MCP server implemented in Go that enables AI assistants to manage Gitea and Forgejo repositories. It exposes repository operations through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Gitea or Forgejo who want AI assistant integration", "useCases": [ "Managing issues and pull requests via chat", "Automating repository administration tasks", "Integrating Gitea/Forgejo with MCP-compatible AI tools" ], "pros": [ "Lightweight Go binary with no heavy dependencies", "Direct adherence to the MCP standard for interoperability", "Simple setup for existing Gitea/Forgejo instances" ], "cons": [ "Requires an MCP-compatible client or host to function", "Limited to Gitea/Forgejo ecosystems only", "Relatively new with a small community (56 stars)" ], "tags": [ "claude-code", "claude-desktop", "forgejo", "gemini-cli", "gitea", "mcp-server" ], "featured": false, "tier": "curated", "stars": 56, "language": [ "Go" ], "license": "MPL-2.0", "lastUpdated": "2025-10-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/raohwork/forgejo-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/raohwork-forgejo-mcp" }, { "slug": "rascal-3-chainanalyzer-mcp", "name": "rascal-3/chainanalyzer-mcp", "vendor": "Various", "tagline": "MCP Server for ChainAnalyzer(https://chain-analyzer.com)", "description": "This MCP server provides a standardized interface for AI tools to interact with the ChainAnalyzer service. It implements the Model Context Protocol to enable querying blockchain analysis data through natural language or tool calls.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to connect AI assistants or agents to blockchain analytics via the MCP protocol", "useCases": [ "Integrating ChainAnalyzer data into AI-powered development workflows", "Building tools that retrieve on-chain metrics via MCP", "Automating blockchain analysis for reporting or monitoring" ], "pros": [ "Follows the MCP standard for easy integration with MCP-compatible AI agents", "Written in TypeScript, offering type safety and modern development practices" ], "cons": [ "Zero GitHub stars suggests very early stage or limited adoption", "Relies on the ChainAnalyzer service being available and accurate", "Requires familiarity with the Model Context Protocol to use effectively" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/rascal-3/chainanalyzer-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/rascal-3-chainanalyzer-mcp" }, { "slug": "rashidazarang-airtable-mcp", "name": "rashidazarang/airtable-mcp", "vendor": "Various", "tagline": "Airtable integration for AI-powered applications via Anthropic's Model Context Protocol (MCP)", "description": "A TypeScript-based MCP server that exposes Airtable bases, tables, and records to AI assistants through Anthropic's Model Context Protocol. It translates natural language requests into structured Airtable API calls, enabling read and write operations without manual API coding.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need direct, conversational access to Airtable data", "useCases": [ "Query and update Airtable records via natural language in Claude or other MCP-compatible assistants", "Automate data entry and retrieval workflows between AI agents and Airtable bases", "Build custom AI tools that interact with Airtable as a backend data store" ], "pros": [ "Simplifies Airtable integration for AI applications by abstracting API complexity", "Open source with TypeScript for easy customization and extension", "Supports both reading and writing data through a standardized protocol" ], "cons": [ "Requires an MCP-compatible client (e.g., Claude) to function", "Limited to Airtable's API rate limits and field type constraints", "Small community (84 stars) may mean fewer examples or support" ], "tags": [ "airtable", "airtable-api", "api", "automation", "claude", "claude-code", "database-automation", "mcp" ], "featured": false, "tier": "curated", "stars": 84, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-02-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/rashidazarang/airtable-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/rashidazarang-airtable-mcp" }, { "slug": "ratnaditya-j-csvglow", "name": "Ratnaditya-J/csvglow", "vendor": "Various", "tagline": "Generate beautiful interactive HTML dashboards from CSV/Excel files", "description": "csvglow is a Python tool that converts CSV or Excel files into interactive HTML dashboards. It reads tabular data and generates a standalone HTML file with charts and filters for exploration.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a quick, no-code way to turn spreadsheet data into interactive HTML dashboards", "useCases": [ "Quickly visualize a CSV dataset without writing dashboard code", "Share interactive data reports with non-technical stakeholders", "Prototype data insights from spreadsheets in a browser" ], "pros": [ "Generates self-contained HTML files that require no server", "Simple command-line or script usage for rapid results", "Supports both CSV and Excel input formats" ], "cons": [ "Very small community (7 GitHub stars) with limited support", "Customization options are likely minimal", "May not handle large datasets or complex visualizations well" ], "tags": [ "analytics", "csv", "dashboard", "data", "data-visualization", "echarts", "excel", "mcp" ], "featured": false, "tier": "curated", "stars": 7, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/Ratnaditya-J/csvglow", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "haris-musa-excel-mcp-server", "mckinsey-vizro-mcp" ], "alternative_to": [ "mckinsey-vizro-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ratnaditya-j-csvglow" }, { "slug": "raveenb-fal-mcp-server", "name": "raveenb/fal-mcp-server", "vendor": "Various", "tagline": "MCP server for Fal.ai - Generate images, videos, music and audio with Claude", "description": "An MCP server that integrates Fal.ai with Claude, enabling media generation directly through chat. It supports creating images, videos, music, and audio using Fal.ai models via the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers wanting to generate media assets through conversational AI using Fal.ai and Claude", "useCases": [ "Generate images from text prompts within Claude", "Create short videos or animations via Claude interface", "Produce music and audio clips using Fal.ai models" ], "pros": [ "Simplifies media generation by bridging Fal.ai and Claude", "Python-based, easy to install and extend", "Leverages Claude's reasoning for prompt refinement" ], "cons": [ "Dependent on Fal.ai API availability and pricing", "Requires Claude access and an MCP-compatible client", "Limited to capabilities of underlying Fal.ai models" ], "tags": [ "ai-tools", "claude", "fal-ai", "image-generation", "llm", "mcp", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 48, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/raveenb/fal-mcp-server", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/raveenb-fal-mcp-server" }, { "slug": "raychao-oao-pty-mcp", "name": "raychao-oao/pty-mcp", "vendor": "Various", "tagline": "MCP server for interactive terminal sessions — local shells, SSH, serial ports, and persistent remote sessions", "description": "MCP server for interactive terminal sessions. It supports local shells, SSH, serial ports, and persistent remote sessions. Written in Go, it exposes terminal access through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to add interactive terminal access to MCP-based workflows and tools", "useCases": [ "Running interactive shell commands from MCP-capable tools", "Managing remote SSH sessions programmatically", "Accessing serial port terminals via an MCP interface" ], "pros": [ "Supports multiple terminal backends (local, SSH, serial, remote persistent)", "Enables persistent remote sessions across reconnects", "Leverages MCP protocol for standard tool integration" ], "cons": [ "Low GitHub star count may indicate limited community support", "Requires an MCP-compatible client to function", "No built-in authentication or session isolation mentioned in description" ], "tags": [], "featured": false, "tier": "curated", "stars": 8, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-05-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/raychao-oao/pty-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "wonderwhy-er-desktopcommandermcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/raychao-oao-pty-mcp" }, { "slug": "raye-deng-open-code-review", "name": "raye-deng/open-code-review", "vendor": "Various", "tagline": "🤖 AI code quality gate for AI-generated code. Detects hallucinated packages, phantom dependencies, stale APIs, and more. MCP Server + CLI + CI/CD Action.", "description": "Open Code Review is an AI code quality gate that scans AI-generated code for hallucinated packages, phantom dependencies, and stale APIs. It operates as an MCP server, CLI tool, and CI/CD action, all written in TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers reviewing AI-generated code for dependency and API hallucinations", "useCases": [ "Catch hallucinated imports and fake packages in AI-generated code", "Verify dependency integrity before merging pull requests", "Automate code review in CI/CD pipelines" ], "pros": [ "Targets specific AI-code pitfalls like phantom dependencies", "Flexible deployment as CLI, server, or CI action", "Lightweight TypeScript codebase" ], "cons": [ "Small community with only 24 stars", "Limited to detecting package and API issues, not broader code quality", "Requires integration setup for each pipeline" ], "tags": [ "ai", "ai-generated-code", "ci-cd", "code-quality", "code-review", "developer-tools", "github-actions", "golang" ], "featured": false, "tier": "curated", "stars": 24, "language": [ "TypeScript" ], "lastUpdated": "2026-04-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/raye-deng/open-code-review", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "pr-agent" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/raye-deng-open-code-review" }, { "slug": "razz-games-razz-mcp", "name": "razz-games/razz-mcp", "vendor": "Various", "tagline": "Agent MCP for razz.games", "description": "An open-source Model Context Protocol server that enables AI agents to interact with the razz.games platform. Written in TypeScript, it implements the MCP standard for tool calling and data access.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to act on razz.games data or services", "useCases": [ "Integrating AI agents with razz.games services", "Automating game-related workflows on razz.games", "Building tool-driven AI interactions for razz.games" ], "pros": [ "Open source and available on GitHub", "Built with TypeScript for type safety", "Follows the MCP standard for agent interoperability" ], "cons": [ "No stars or community adoption yet", "Limited documentation or examples beyond the repository", "Niche platform (razz.games) may limit applicability" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/razz-games/razz-mcp", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/razz-games-razz-mcp" }, { "slug": "rchanllc-joltsms-mcp-server", "name": "rchanllc/joltsms-mcp-server", "vendor": "Various", "tagline": "MCP server for JoltSMS — provision real-SIM US phone numbers and receive SMS/OTP codes", "description": "MCP server for JoltSMS that provisions real-SIM US phone numbers and receives SMS/OTP codes. It integrates with the Model Context Protocol to let AI agents request disposable phone numbers and read incoming messages. The server is written in TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to verify phone numbers or collect OTP codes via real US SIMs", "useCases": [ "Automate OTP code collection for account testing", "Provision temporary US numbers from an AI agent", "Integrate SMS receipt into MCP-compatible tools" ], "pros": [ "Provides real US SIM numbers for legitimate SMS delivery", "Works directly within the MCP ecosystem for agent workflows", "Simple TypeScript codebase for easy modification" ], "cons": [ "No GitHub stars indicates very early stage or limited adoption", "Requires a JoltSMS account and API credentials to function", "Only supports inbound SMS, no outbound messaging" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-02-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/rchanllc/joltsms-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "lharries-whatsapp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/rchanllc-joltsms-mcp-server" }, { "slug": "rdanieli-tentra-mcp", "name": "rdanieli/tentra-mcp", "vendor": "Various", "tagline": "Tentra MCP — memory for AI coding agents. Persistent code graph + AI architecture diagrams. 32 MCP tools. Works in Cursor, Claude Code, Codex, Windsurf.", "description": "Persistent memory for AI coding agents using a code graph and architecture diagrams. Provides 32 MCP tools to store and retrieve context across sessions. Integrates with Cursor, Claude Code, Codex, and Windsurf.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using AI coding agents who need persistent project memory across sessions", "useCases": [ "Maintain long-term project context for AI coding assistants", "Visualize code structure and architecture through generated diagrams", "Share persistent memory across different AI agent sessions" ], "pros": [ "Supports multiple popular AI coding environments", "Large set of 32 tools for granular memory management", "Persists context beyond single chat sessions" ], "cons": [ "Very low community adoption (1 star on GitHub)", "Unclear documentation and maturity due to early stage", "May require significant setup and configuration" ], "tags": [ "agent-memory", "ai", "claude-code", "code-graph", "codex", "cursor", "mcp", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/rdanieli/tentra-mcp", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "upstash-context7" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/rdanieli-tentra-mcp" }, { "slug": "reading-plus-ai-mcp-server-data-exploration", "name": "reading-plus-ai/mcp-server-data-exploration", "vendor": "Various", "tagline": "🐍 ☁️ - Enables autonomous data exploration on .csv-based datasets, providing intelligent insights with minimal effort.", "description": "An MCP server for autonomous data exploration on CSV datasets. It analyzes data and produces insights with minimal manual effort. Built in Python.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Data analysts and developers seeking quick automated CSV analysis via MCP", "useCases": [ "Automated data profiling of CSV files", "Quick insight extraction without manual queries", "Integration into MCP-compatible workflows" ], "pros": [ "Minimal effort required for users", "Works with standard CSV format", "Open source with community support (539 stars)" ], "cons": [ "Limited to CSV file format", "Requires MCP protocol environment", "Insights may require human verification" ], "tags": [], "featured": false, "tier": "curated", "stars": 539, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-03-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/reading-plus-ai/mcp-server-data-exploration", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "antv-mcp-server-chart" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/reading-plus-ai-mcp-server-data-exploration" }, { "slug": "reading-plus-ai-mcp-server-deep-research", "name": "reading-plus-ai/mcp-server-deep-research", "vendor": "Various", "tagline": "📇 ☁️ - MCP server providing OpenAI/Perplexity-like autonomous deep research, structured query elaboration, and concise reporting.", "description": "MCP server that enables autonomous deep research, structured query elaboration, and concise reporting, similar to services like OpenAI or Perplexity. It is implemented in Python and integrates with AI models via the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building research assistants or knowledge agents", "useCases": [ "Automating literature reviews and information gathering", "Generating structured research summaries from complex queries", "Integrating deep research capabilities into AI workflows" ], "pros": [ "Open-source and free to use with no vendor lock-in", "Works with standard MCP protocol for easy integration into existing tools", "Python-based, straightforward to set up and customize" ], "cons": [ "Requires external API keys for underlying language models", "Limited to text-based outputs without multimedia generation", "Documentation may be sparse for advanced usage scenarios" ], "tags": [], "featured": false, "tier": "curated", "stars": 209, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-03-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/reading-plus-ai/mcp-server-deep-research", "relations": { "works_in": [ "cursor", "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/reading-plus-ai-mcp-server-deep-research" }, { "slug": "realcrabcut-crabcut-mcp-server", "name": "realcrabcut/crabcut-mcp-server", "vendor": "Various", "tagline": "CrabCut MCP Server", "description": "CrabCut MCP Server is a TypeScript-based MCP server that provides image segmentation capabilities using the GrabCut algorithm. It exposes a tool interface for developers to remove backgrounds or isolate objects in images programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based tools who need simple, algorithm-driven image segmentation", "useCases": [ "Automate background removal in image processing pipelines", "Isolate objects from photos for further analysis or compositing", "Integrate interactive segmentation into MCP-compatible applications" ], "pros": [ "Lightweight TypeScript implementation with minimal dependencies", "Follows the MCP protocol for easy integration with MCP hosts", "Leverages a well-known computer vision algorithm for segmentation" ], "cons": [ "Very early stage with only 1 star and limited community adoption", "Requires manual initialization of the GrabCut mask for best results", "No built-in support for batch processing or advanced image formats" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/realcrabcut/crabcut-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mediar-ai-screenpipe" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/realcrabcut-crabcut-mcp-server" }, { "slug": "realwigu-mcp-doctor", "name": "realwigu/mcp-doctor", "vendor": "Various", "tagline": "Diagnose, secure, and benchmark your MCP servers. Zero-config CLI for Claude Code, Cursor, VS Code, and Windsurf.", "description": "A zero-configuration CLI tool that diagnoses, secures, and benchmarks MCP servers. Works with Claude Code, Cursor, VS Code, and Windsurf to identify configuration issues, assess security posture, and measure performance without manual setup.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using MCP servers who need a quick, all-in-one diagnostic and security check without configuration overhead", "useCases": [ "Diagnose misconfigurations in MCP server connections", "Benchmark MCP server response times and reliability", "Audit security vulnerabilities in MCP endpoints" ], "pros": [ "Zero-configuration setup reduces friction for quick diagnostics", "Supports multiple popular IDEs and AI coding tools", "Combines security scanning and performance benchmarking in one tool" ], "cons": [ "Very limited adoption (1 GitHub star) indicates early-stage reliability concerns", "Only applicable to MCP protocol workflows, not general server diagnostics", "Requires Node.js and TypeScript runtime, adding a dependency for non-JS environments" ], "tags": [ "claude", "cli", "cursor", "devtools", "mcp", "mcp-server", "model-context-protocol", "security" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/realwigu/mcp-doctor", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/realwigu-mcp-doctor" }, { "slug": "reapi-com-mcp-openapi", "name": "ReAPI-com/mcp-openapi", "vendor": "Various", "tagline": "OpenAPI specification MCP server.", "description": "An MCP server that serves OpenAPI specifications for use by AI agents and tools. It exposes API documentation as resources or tools under the Model Context Protocol. Built in TypeScript, it connects standard OpenAPI specs to MCP-compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or tools that need to consume OpenAPI documentation via the Model Context Protocol", "useCases": [ "Providing API specs to AI coding assistants for code generation", "Enabling AI agents to dynamically discover and call API endpoints", "Integrating OpenAPI documentation into MCP-compatible development tools" ], "pros": [ "Simplifies connecting AI agents to existing OpenAPI documentation", "Leverages the standard OpenAPI format for broad compatibility", "Lightweight TypeScript project with low overhead" ], "cons": [ "Requires an MCP-compatible client or agent to be useful", "Limited adoption (87 stars) suggests a small community and fewer contributions", "Narrow focus: only works with OpenAPI specs, not other API description formats" ], "tags": [ "cline", "cursor", "mcp-server", "openapi", "swagger" ], "featured": false, "tier": "curated", "stars": 87, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-03-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/ReAPI-com/mcp-openapi", "relations": { "works_in": [ "cursor", "cline", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/reapi-com-mcp-openapi" }, { "slug": "recursechat-mcp-server-apple-shortcuts", "name": "recursechat/mcp-server-apple-shortcuts", "vendor": "Various", "tagline": "📇 🏠 🍎 - An MCP Server Integration with Apple Shortcuts", "description": "An MCP server that connects AI assistants to Apple Shortcuts. It allows triggering shortcuts programmatically through the Model Context Protocol. Built in JavaScript, it runs locally to bridge AI tools with macOS/iOS automation.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI automation workflows on Apple devices", "useCases": [ "Triggering shortcuts from AI chat interfaces", "Automating workflows by chaining AI responses with Shortcuts", "Integrating Apple Shortcuts into MCP-compatible applications" ], "pros": [ "Leverages existing Apple Shortcuts ecosystem", "Simple setup for developers familiar with MCP", "Open source with active community (331 stars)" ], "cons": [ "Requires macOS or iOS environment to run", "Limited to shortcuts that are already created in Apple Shortcuts", "Dependency on MCP protocol compatibility" ], "tags": [], "featured": false, "tier": "curated", "stars": 331, "language": [ "JavaScript" ], "license": "Apache-2.0", "lastUpdated": "2024-12-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/recursechat/mcp-server-apple-shortcuts", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/recursechat-mcp-server-apple-shortcuts" }, { "slug": "redis-mcp-redis-cloud", "name": "redis/mcp-redis-cloud", "vendor": "Various", "tagline": "📇 ☁️ - Manage your Redis Cloud resources effortlessly using natural language. Create databases, monitor subscriptions, and configure cloud deployments with simple commands.", "description": "MCP tool for managing Redis Cloud resources through natural language commands. It allows users to create databases, monitor subscriptions, and configure cloud deployments by parsing simple requests into API calls.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who manage multiple Redis Cloud instances and want to streamline operations through conversational interfaces.", "useCases": [ "Create and manage Redis Cloud databases via chat commands", "Monitor subscription health and resource usage", "Automate cloud configuration changes without the web console" ], "pros": [ "Reduces manual UI navigation for common Redis Cloud tasks", "Uses plain language for operations that typically require API knowledge", "Written in TypeScript, easy to integrate with MCP-based workflows" ], "cons": [ "Limited to Redis Cloud, not compatible with self-hosted Redis or other providers", "Small community with only 39 stars, may lack extensive testing", "Natural language parsing can produce unexpected results on complex requests" ], "tags": [], "featured": false, "tier": "curated", "stars": 39, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-05-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/redis/mcp-redis-cloud", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "upstash-context7" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/redis-mcp-redis-cloud" }, { "slug": "redleaves-context-keeper", "name": "redleaves/context-keeper", "vendor": "Various", "tagline": "🧠 LLM-Driven Intelligent Memory & Context Management System （AI记忆管理与智能上下文感知平台） AI记忆管理平台 | 智能上下文感知 | RAG检索增强生成 | 向量检索引擎", "description": "redleaves/context-keeper is an open-source memory and context management system for LLM-driven applications. It uses retrieval-augmented generation (RAG) and vector search to provide intelligent context awareness and memory capabilities. Written in Go, it helps AI agents retain and retrieve relevant information across sessions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building Go-based AI applications that require persistent memory and context management", "useCases": [ "Manage long-term memory for AI chatbots and virtual assistants", "Retrieve relevant context from vector stores to ground LLM responses", "Build persistent, context-aware AI agents in Go-based projects" ], "pros": [ "Open source with a permissive license", "Lightweight and efficient due to Go implementation", "Integrates RAG and vector search out of the box" ], "cons": [ "Limited community and documentation due to low star count", "Primarily useful only for Go-based projects", "Not yet battle-tested in large-scale production environments" ], "tags": [ "ai-assistant", "ai-assistants", "ai-memory", "context-awareness", "go", "golang", "llm", "programming-assistant" ], "featured": false, "tier": "curated", "stars": 148, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-01-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/redleaves/context-keeper", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "topoteretes-cognee", "upstash-context7" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/redleaves-context-keeper" }, { "slug": "reeeeemo-ancestry-mcp", "name": "reeeeemo/ancestry-mcp", "vendor": "Various", "tagline": "Ancestry MCP server made with Python that allows interactability with .ged (GEDCOM) files", "description": "Ancestry MCP server built in Python that enables interaction with .ged (GEDCOM) files. It exposes family tree data through the Model Context Protocol for use by compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based applications that need to read or manipulate GEDCOM family tree data", "useCases": [ "Querying and navigating GEDCOM family tree files programmatically", "Integrating genealogy data into MCP-compatible applications", "Building tools that read or analyze ancestry records from standard formats" ], "pros": [ "Directly supports the widely used GEDCOM format for genealogy data", "Lightweight Python implementation with a focused scope", "Open source with a permissive license for customization" ], "cons": [ "Limited to GEDCOM files, no support for other genealogy formats", "Small community and few stars, indicating early-stage project", "Requires MCP-compatible client to be useful, not a standalone tool" ], "tags": [ "claude", "mcp-servers", "python" ], "featured": false, "tier": "curated", "stars": 34, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-01-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/reeeeemo/ancestry-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp", "haris-musa-excel-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/reeeeemo-ancestry-mcp" }, { "slug": "refined-element-lightning-enable-mcp", "name": "refined-element/lightning-enable-mcp", "vendor": "Various", "tagline": "MCP server enabling AI agents to make Lightning Network payments", "description": "An MCP server that lets AI agents send payments over the Lightning Network. It implements the Model Context Protocol for tool-based interactions. Built in C#, it enables automated microtransactions from AI agents to Lightning-enabled services.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers integrating Lightning Network payments into agentic AI workflows", "useCases": [ "Enabling AI agents to make pay-per-call Lightning payments", "Building automated microtransactions for AI-powered services", "Integrating Lightning payments into agentic workflows" ], "pros": [ "Targets a specific niche: Lightning payments for AI agents", "Leverages Lightning Network for fast, low-cost transactions", "Open source and follows the MCP standard" ], "cons": [ "Low community adoption with only 8 stars on GitHub", "Requires a C# environment to run", "Limited documentation and support for early-stage project" ], "tags": [], "featured": false, "tier": "curated", "stars": 8, "language": [ "C#" ], "license": "MIT", "lastUpdated": "2026-05-09", "addedAt": "2026-06-01", "officialLink": "https://github.com/refined-element/lightning-enable-mcp", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/refined-element-lightning-enable-mcp" }, { "slug": "regenerating-world-pix-mcp", "name": "Regenerating-World/pix-mcp", "vendor": "Various", "tagline": "📇 ☁️ - Generate Pix QR codes and copy-paste strings with fallback across multiple providers (Efí, Cielo, etc.) for Brazilian instant payments.", "description": "Generates Pix QR codes and copy-paste strings for Brazilian instant payments. Supports multiple providers (Efí, Cielo, etc.) with automatic fallback if one provider fails. Built as a Model Context Protocol (MCP) server for integration with AI assistants.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers creating AI agents that need to generate Pix payments for Brazilian users", "useCases": [ "Generate Pix QR codes for customer checkout requests", "Provide copy-paste Pix payment strings via an AI assistant", "Handle provider fallback to ensure payment generation reliability" ], "pros": [ "Works with multiple Brazilian payment providers for increased uptime", "Provides both QR code and text string outputs", "Simple MCP integration for AI tools like Claude" ], "cons": [ "Limited to Brazilian Pix payment system only", "Low GitHub stars suggest early-stage project or limited community", "Requires provider API keys and configuration for each provider" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-08-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/Regenerating-World/pix-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/regenerating-world-pix-mcp" }, { "slug": "religa-multi-mcp", "name": "religa/multi-mcp", "vendor": "Various", "tagline": "Multi-Model chat, code review and analysis MCP Server for Claude Code", "description": "religa/multi-mcp is an open-source MCP server that enables multi-model chat, code review, and analysis within Claude Code. It is written in Python and allows developers to switch between different language models for code-related tasks.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude Code who want to experiment with multiple AI models for code review and analysis", "useCases": [ "Running code reviews with multiple AI models for diverse feedback", "Chatting with different models directly inside Claude Code", "Analyzing codebases using alternative model perspectives" ], "pros": [ "Integrates multiple models into a single Claude Code workflow", "Open source with Python codebase for easy customization", "Lightweight server that extends Claude Code's capabilities" ], "cons": [ "Low GitHub stars (30) indicate limited community and testing", "May lack stability or documentation for production use", "Dependent on Claude Code's MCP support and external model APIs" ], "tags": [ "agents", "ai", "ai-agents", "ai-agents-cli", "ai-code-review", "anthropic", "claude", "claude-commands" ], "featured": false, "tier": "curated", "stars": 30, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/religa/multi_mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/religa-multi-mcp" }, { "slug": "rember-rember-mcp", "name": "rember/rember-mcp", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server for Rember.", "description": "A TypeScript server that implements the Model Context Protocol (MCP) to connect AI assistants with Rember, a knowledge management and memory tool. It enables AI models to programmatically read, write, and query Rember's data through a standard MCP interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need a persistent, queryable memory layer backed by Rember", "useCases": [ "Connect Claude or other MCP-compatible assistants to a Rember knowledge base", "Automate storing and retrieving notes, memories, or context during AI sessions", "Build custom AI workflows that persist and recall information via Rember" ], "pros": [ "Lightweight, TypeScript-native implementation with standard MCP compliance", "Open source with active community contributions", "Direct integration path for AI tools already using MCP" ], "cons": [ "Requires familiarity with both Rember's API and the Model Context Protocol", "Limited to features and data models provided by Rember", "Small user base (62 stars) means less community support and fewer examples" ], "tags": [], "featured": false, "tier": "curated", "stars": 62, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-03-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/rember/rember-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "topoteretes-cognee", "upstash-context7" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/rember-rember-mcp" }, { "slug": "remembra-ai-remembra", "name": "remembra-ai/remembra", "vendor": "Various", "tagline": "Universal memory layer for AI applications. Self-host in minutes. Open source.", "description": "Remembra is an open-source universal memory layer for AI applications. It can be self-hosted in minutes, providing a persistent memory backend for AI agents and chatbots.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want a simple, self-hosted memory solution for AI applications", "useCases": [ "Persisting conversation context across sessions for chatbots", "Sharing memory between multiple AI agents or tools", "Self-hosting a private memory backend for data control" ], "pros": [ "Open-source and self-hosted for full data ownership", "Quick setup with minimal configuration", "Designed as a universal drop-in memory layer" ], "cons": [ "Very small community (13 GitHub stars) indicating early stage", "Limited ecosystem and third-party integrations", "Potential lack of documentation and support" ], "tags": [ "ai", "ai-agents", "ai-memory", "claude", "developer-tools", "embeddings", "knowledge-graph", "llm" ], "featured": false, "tier": "curated", "stars": 13, "language": [ "HTML" ], "license": "MIT", "lastUpdated": "2026-04-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/remembra-ai/remembra", "relations": { "works_in": [ "cline", "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "topoteretes-cognee" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/remembra-ai-remembra" }, { "slug": "replenishradar-mcp", "name": "ReplenishRadar/MCP", "vendor": "Various", "tagline": "MCP server for multi-channel inventory intelligence — 28 tools for stockout risk, demand forecasts, and purchase order management across Shopify and Amazon", "description": "An MCP server that provides 28 tools for multi-channel inventory intelligence. It covers stockout risk analysis, demand forecasting, and purchase order management across Shopify and Amazon. The server integrates with AI assistants via the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-driven inventory management workflows for Shopify and Amazon", "useCases": [ "Monitor stockout risks across Shopify and Amazon", "Generate demand forecasts for inventory planning", "Manage purchase orders through MCP tools" ], "pros": [ "Provides 28 specialized inventory tools in one server", "Supports multi-channel integration with Shopify and Amazon", "Leverages MCP for seamless AI assistant compatibility" ], "cons": [ "No GitHub stars yet, indicating early stage or low adoption", "Requires MCP knowledge to integrate and use effectively", "Limited to Shopify and Amazon, no other sales channels" ], "tags": [ "ai-agent", "amazon", "claude", "demand-forecasting", "e-commerce", "inventory-management", "mcp", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "lastUpdated": "2026-03-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/ReplenishRadar/MCP", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "haris-musa-excel-mcp-server", "pipedreamhq-pipedream" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/replenishradar-mcp" }, { "slug": "retio-ai-pagemap", "name": "Retio-ai/pagemap", "vendor": "Various", "tagline": "🐍 🏠 - Compresses ~100K-token HTML into 2-5K-token structured maps while preserving every actionable element. AI agents can read and interact with any web page at 97% fewer tokens", "description": "Retio-ai/pagemap compresses large HTML documents (up to ~100K tokens) into compact structured maps of 2-5K tokens. It preserves all actionable elements such as links, forms, and buttons, enabling AI agents to read and interact with web pages using 97% fewer tokens.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building cost-sensitive AI agents that need to parse and act on web page content", "useCases": [ "Reduce token costs when feeding web page content to AI agents", "Extract structured, actionable summaries of HTML for automation", "Enable AI agents to navigate and interact with web pages via compact representations" ], "pros": [ "Reduces HTML token count by 97% while retaining critical content", "Preserves every actionable element for agent interaction", "Open-source Python tool, easy to integrate into existing pipelines" ], "cons": [ "Small user base (32 stars) suggests limited community support", "Requires pre-fetched HTML; does not handle dynamic content or browser automation", "Documentation and examples may be sparse given early stage" ], "tags": [], "featured": false, "tier": "curated", "stars": 32, "language": [ "Python" ], "lastUpdated": "2026-05-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/Retio-ai/Retio-pagemap", "relations": { "works_in": [ "anthropic-computer-use", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "browsermcp-mcp", "microsoft-markitdown" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/retio-ai-pagemap" }, { "slug": "rev2ret-secureaudit-mcp", "name": "rev2ret/SecureAudit-MCP", "vendor": "Various", "tagline": "rev2ret/SecureAudit-MCP — indexed from awesome-mcp-servers-punkpeye", "description": "SecureAudit-MCP is a JavaScript-based MCP server that provides security auditing capabilities for AI agents. It enables automated vulnerability scanning and compliance checks through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need basic automated security auditing", "useCases": [ "Integrate security audits into AI agent workflows", "Automate vulnerability scanning for codebases", "Enforce compliance checks during development" ], "pros": [ "Lightweight JavaScript implementation", "Leverages MCP for seamless agent integration", "Open source with no dependencies on proprietary services" ], "cons": [ "Zero stars and limited community adoption", "No documented release or version history", "Unclear scope of security checks supported" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/rev2ret/SecureAudit-MCP", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "browsermcp-mcp", "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/rev2ret-secureaudit-mcp" }, { "slug": "reza-gholizade-k8s-mcp-server", "name": "reza-gholizade/k8s-mcp-server", "vendor": "Various", "tagline": "Manage Your Kubernetes Cluster with k8s mcp-server", "description": "A Go-based MCP server that lets you manage Kubernetes clusters through natural language or structured commands. It translates MCP requests into kubectl operations, enabling interactive cluster management from compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to manage Kubernetes clusters from chat interfaces or MCP-enabled IDEs.", "useCases": [ "Inspect pods, deployments, and services in a cluster via chat", "Execute kubectl commands without leaving your development environment", "Automate routine cluster operations through MCP-compatible tools" ], "pros": [ "Lightweight Go binary with no external dependencies beyond kubectl", "Open source with 160 stars and active community", "Simplifies cluster management for developers unfamiliar with kubectl" ], "cons": [ "Requires kubectl configured with cluster access on the host", "Limited to operations kubectl supports; no custom resource handling", "MCP protocol adoption is still niche, limiting client compatibility" ], "tags": [ "ai", "ai-agents", "golang", "k8s-mcp-server", "kubernetes", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 160, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/reza-gholizade/k8s-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "txn2-kubefwd" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/reza-gholizade-k8s-mcp-server" }, { "slug": "ricocf-mcp-wolframalpha", "name": "ricocf/mcp-wolframalpha", "vendor": "Various", "tagline": "A Python-powered Model Context Protocol MCP server and client that uses Wolfram Alpha via API.", "description": "This project implements a Model Context Protocol (MCP) server and client in Python to query Wolfram Alpha. It allows AI models using the MCP standard to access Wolfram Alpha's computational knowledge and data. The tool requires a Wolfram Alpha API key.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-compatible AI agents that need factual computation or curated knowledge", "useCases": [ "Answering complex factual or computational queries from an AI agent", "Integrating mathematical reasoning and symbolic computation into AI workflows", "Accessing curated scientific, historical, and real-time data programmatically" ], "pros": [ "Simple Python implementation easy to extend or customize", "Leverages Wolfram Alpha's extensive and authoritative knowledge base", "Follows the MCP standard for interoperability with AI agent platforms" ], "cons": [ "Requires a Wolfram Alpha API key which has paid tiers beyond the free quota", "Limited by Wolfram Alpha's API rate limits and query structure", "Documentation and community support are sparse (only 83 stars)" ], "tags": [], "featured": false, "tier": "curated", "stars": 83, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-01-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/ricocf/mcp-wolframalpha", "relations": { "works_in": [ "claude-code", "cursor", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ricocf-mcp-wolframalpha" }, { "slug": "rhein1-agoragentic-integrations", "name": "rhein1/agoragentic-integrations", "vendor": "Various", "tagline": "Triptych OS (Agent OS) integrations for deployed agents: execute-first tools, Micro ECF exports, x402 calls, receipts, and Base USDC settlement.", "description": "A JavaScript library providing integrations for Triptych OS (Agent OS) deployed agents. It includes execute-first tools, Micro ECF exports, x402 calls, receipts, and Base USDC settlement.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building agents on Triptych OS needing Base USDC settlement and x402 call support", "useCases": [ "Integrating agent OS tools with execute-first workflows", "Exporting Micro ECF data from deployed agents", "Settling agent transactions in Base USDC" ], "pros": [ "Covers a specific niche for agent OS integrations", "Includes settlement and receipt handling", "Lightweight JavaScript library" ], "cons": [ "Very low community adoption (18 stars)", "Limited documentation and support", "Narrow focus may not suit general agent development" ], "tags": [ "a2a", "agent-commerce", "agent-marketplace", "agent-os", "agent-payments", "agentic-ai", "ai-agents", "ai-marketplace" ], "featured": false, "tier": "curated", "stars": 18, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/rhein1/agoragentic-integrations", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/rhein1-agoragentic-integrations" }, { "slug": "rikarazome-prolog-reasoner", "name": "rikarazome/prolog-reasoner", "vendor": "Various", "tagline": "SWI-Prolog as a logic calculator for LLMs — MCP server and Python library", "description": "A tool that provides an MCP server and Python library to use SWI-Prolog as a logic calculator for large language models. It enables LLMs to perform logical reasoning by invoking Prolog queries through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building LLM agents that need reliable, rule-based logical inference", "useCases": [ "Running rule-based inference tasks within an LLM workflow", "Validating logical constraints generated by an LLM", "Combining natural language output with Prolog's deterministic deduction" ], "pros": [ "Leverages Prolog's mature reasoning engine for consistent logical output", "Exposes logic calculus as an MCP server, compatible with LLM tool-use patterns", "Simple Python library for embedding Prolog query execution" ], "cons": [ "Small community and limited production usage (8 GitHub stars)", "Requires familiarity with Prolog syntax and logic programming", "Narrow focus only useful if LLM task needs formal deductive reasoning" ], "tags": [ "anthropic", "claude", "llm", "logic-programming", "mcp", "mcp-server", "prolog", "python" ], "featured": false, "tier": "curated", "stars": 8, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/rikarazome/prolog-reasoner", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "pydantic-pydantic-ai-mcp-run-python" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/rikarazome-prolog-reasoner" }, { "slug": "rinadelph-agent-mcp", "name": "rinadelph/Agent-MCP", "vendor": "Various", "tagline": "Agent-MCP is a framework for creating multi-agent systems that enables coordinated, efficient AI collaboration through the Model Context Protocol (MCP). The system is designed for", "description": "Agent-MCP is a TypeScript framework for building multi-agent systems that coordinate through the Model Context Protocol (MCP). It enables developers to create specialized agents that work in parallel on different aspects of a project, with standardized communication via MCP.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building multi-agent AI systems who want a TypeScript-native, MCP-based coordination framework", "useCases": [ "Orchestrating multiple AI agents for complex workflows", "Building parallel task execution systems with specialized agents", "Integrating MCP-based agent collaboration into existing TypeScript projects" ], "pros": [ "Leverages MCP for standardized, interoperable agent communication", "Written in TypeScript, providing type safety and modern tooling", "Open source with a growing community (1244 stars)" ], "cons": [ "Relatively new project with a smaller ecosystem and fewer examples", "Requires understanding of the Model Context Protocol to use effectively", "May have limited documentation or community support compared to mature frameworks" ], "tags": [], "featured": false, "tier": "curated", "stars": 1244, "language": [ "TypeScript" ], "lastUpdated": "2026-03-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/rinadelph/Agent-MCP", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp" ], "alternative_to": [ "autogen" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/rinadelph-agent-mcp" }, { "slug": "rippermercs-tensorfeed", "name": "RipperMercs/tensorfeed", "vendor": "Various", "tagline": "RipperMercs/tensorfeed — indexed from awesome-mcp-servers-punkpeye", "description": "RipperMercs/tensorfeed is a TypeScript implementation of an MCP server for the TensorFeed platform. It provides an interface for connecting TensorFeed services with MCP-compatible clients. The project is listed in the curated awesome-mcp-servers collection and currently has minimal adoption.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring TensorFeed integration via MCP who need a minimal starting point", "useCases": [ "Exposing TensorFeed data and operations through the Model Context Protocol", "Building MCP-based agents or tools that interact with TensorFeed", "Integrating TensorFeed into development workflows that use MCP clients" ], "pros": [ "Written in TypeScript, offering type safety and modern tooling", "Listed in the reputable awesome-mcp-servers curated index", "Lightweight structure that is easy to examine or extend" ], "cons": [ "Very low community traction (1 star) suggests limited testing or usage", "Lacks documentation, examples, or clear setup guides", "Uncertain production readiness and ongoing maintenance" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/RipperMercs/tensorfeed/tree/main/mcp-server", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/rippermercs-tensorfeed" }, { "slug": "rishijatia-fantasy-pl-mcp", "name": "rishijatia/fantasy-pl-mcp", "vendor": "Various", "tagline": "Fantasy Premier League MCP Server", "description": "A Model Context Protocol server for Fantasy Premier League. It exposes FPL data such as player statistics and gameweek information through a standardized API. Developed in Python.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or tools that need live Fantasy Premier League data.", "useCases": [ "Integrate live FPL data into AI assistants or chatbots", "Automate team performance analysis and predictions", "Build data-driven fantasy football tools with an MCP client" ], "pros": [ "Provides a standardized MCP interface for structured data access", "Open source with clear Python implementation", "Focused scope simplifies integration for FPL-related projects" ], "cons": [ "Limited to Fantasy Premier League data only", "Small user base (70 stars) may mean slower updates and support", "Requires familiarity with Model Context Protocol clients to use" ], "tags": [], "featured": false, "tier": "curated", "stars": 70, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-08-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/rishijatia/fantasy-pl-mcp/", "relations": { "works_in": [ "claude-code", "cline", "continue", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/rishijatia-fantasy-pl-mcp" }, { "slug": "rkocosmergon-cosmergon-agent", "name": "rkocosmergon/cosmergon-agent", "vendor": "Various", "tagline": "rkocosmergon/cosmergon-agent — indexed from awesome-mcp-servers-punkpeye", "description": "rkocosmergon/cosmergon-agent is a Python-based MCP server listed in the awesome-mcp-servers-punkpeye index. It provides a minimal agent implementation with a single star on GitHub.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring MCP server implementations in Python for learning or prototyping", "useCases": [ "Experimenting with MCP server patterns in Python", "Learning how to build a basic agent with MCP protocol", "Prototyping simple agent interactions" ], "pros": [ "Lightweight and easy to understand for beginners", "Written in Python, a widely accessible language", "Listed in a curated MCP server collection" ], "cons": [ "Very early stage with only 1 star and minimal community adoption", "Limited documentation and usage examples", "Unclear production readiness or ongoing maintenance" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/rkocosmergon/cosmergon-agent", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "pydantic-pydantic-ai-mcp-run-python" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/rkocosmergon-cosmergon-agent" }, { "slug": "roadwy-cve-search-mcp", "name": "roadwy/cve-search_mcp", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server for querying the CVE-Search API", "description": "A Python-based MCP server that provides a structured interface to query the CVE-Search API. It exposes vulnerability lookup and search functionality through the Model Context Protocol, enabling AI agents and tools to retrieve CVE details and search results programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building security-aware AI assistants or automated vulnerability scanning tools", "useCases": [ "Search for specific CVEs by ID or keyword", "Retrieve vulnerability details for security analysis", "Integrate threat intelligence data into AI developer workflows" ], "pros": [ "Lightweight Python implementation with 100 GitHub stars", "Standard MCP protocol allows easy integration with compatible clients", "Direct access to CVE-Search API without custom adapters" ], "cons": [ "Depends on the external CVE-Search API availability and rate limits", "Limited to CVE-Search data; no other vulnerability databases", "Requires an MCP client runtime to be useful" ], "tags": [ "cve", "mcp-server", "vulunhub" ], "featured": false, "tier": "curated", "stars": 100, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-07-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/roadwy/cve-search_mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "lauriewired-ghidramcp", "mrexodia-ida-pro-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/roadwy-cve-search-mcp" }, { "slug": "roampal-ai-roampal-core", "name": "roampal-ai/roampal-core", "vendor": "Various", "tagline": "Outcome-based persistent memory MCP server for Claude Code and OpenCode. Good advice promoted, bad advice demoted. pip install roampal.", "description": "roampal-core is an MCP server that provides outcome-based persistent memory for Claude Code and OpenCode. It promotes advice that leads to good outcomes and demotes advice that leads to bad ones, improving over time. Install via pip.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude Code or OpenCode who want a self-improving memory layer that learns from outcomes", "useCases": [ "Enhancing Claude Code with a memory of past successful solutions", "Persistently improving code review suggestions based on outcome feedback", "Reducing repetitive bad advice in OpenCode conversations" ], "pros": [ "Persistent memory that adapts to real outcomes, not just prompts", "Simple pip install and open source (46 stars)", "Designed specifically for popular code assistants Claude Code and OpenCode" ], "cons": [ "Limited adoption and community support (46 stars)", "Only works within the Claude Code and OpenCode ecosystems", "Requires proper MCP server setup and API access" ], "tags": [ "agent-memory", "ai-assistant", "ai-coding", "ai-coding-assistant", "ai-memory", "ai-tools", "chromadb", "claude-code" ], "featured": false, "tier": "curated", "stars": 46, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-05-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/roampal-ai/roampal-core", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/roampal-ai-roampal-core" }, { "slug": "roamzy-io-mcp-server", "name": "roamzy-io/mcp-server", "vendor": "Various", "tagline": "MCP server for Roamzy — buy and manage global eSIM through Claude, Cursor, Continue, and any MCP client", "description": "An MCP server that lets developers purchase and manage global eSIM data plans directly from Claude, Cursor, Continue, or any MCP-compatible client. It wraps Roamzy's eSIM API into tool calls for automated connectivity provisioning.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building automated connectivity solutions for IoT or travel use cases", "useCases": [ "Ordering a travel eSIM for a remote device via a chat prompt", "Checking remaining data balance on an active eSIM plan", "Integrating eSIM activation into an automated deployment workflow" ], "pros": [ "Enables eSIM management without leaving the development environment", "Works with multiple popular MCP clients out of the box", "Simple TypeScript codebase for easy customization" ], "cons": [ "Very early stage with only 1 GitHub star and minimal community adoption", "Limited to Roamzy's eSIM inventory and coverage areas", "Requires an active Roamzy account and API credentials" ], "tags": [ "agent", "anthropic", "claude", "claude-desktop", "crypto", "cursor", "esim", "mcp" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/roamzy-io/mcp-server", "relations": { "works_in": [ "cursor", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/roamzy-io-mcp-server" }, { "slug": "robbyczgw-cla-web-search-plus-mcp", "name": "robbyczgw-cla/web-search-plus-mcp", "vendor": "Various", "tagline": "MCP server for multi-provider web search and extraction: 13 search providers, 6 extract providers, routing diagnostics, research mode.", "description": "This MCP server aggregates 13 search providers and 6 extraction providers into a single interface, with routing diagnostics and a research mode. It is written in Python and designed for developers who need to query multiple web search and content extraction services through a unified API.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building multi-provider search and extraction pipelines who want a single MCP interface.", "useCases": [ "Run parallel searches across multiple search engines from a single tool", "Extract structured content from web pages using different extract providers", "Diagnose routing and provider performance for search workflows" ], "pros": [ "Supports a wide variety of search and extraction providers in one server", "Includes routing diagnostics to help optimize provider selection", "Research mode enables systematic multi-provider queries" ], "cons": [ "No stars or community traction yet, may lack stability or support", "Requires managing API keys for each provider individually", "Python dependency may limit integration with non-Python environments" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/robbyczgw-cla/web-search-plus-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "browsermcp-mcp", "agent-infra-mcp-server-browser" ], "alternative_to": [ "exa-labs-exa-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/robbyczgw-cla-web-search-plus-mcp" }, { "slug": "robhunter-agentdeals", "name": "robhunter/agentdeals", "vendor": "Various", "tagline": "MCP server aggregating free tiers, startup credits & developer tool deals. 4 tools, 54 categories, 1,525+ offers.", "description": "An MCP server that aggregates free tiers, startup credits, and developer tool deals. It organizes over 1,525 offers across 54 categories using 4 tools. The data is sourced from various providers and presented in a structured format.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers seeking cost-saving deals and free resources for building and launching projects.", "useCases": [ "Find free tiers for developer tools and services", "Discover startup credits and discounts for early-stage projects", "Compare developer tool deals across categories" ], "pros": [ "Centralizes a large number of deals (1,525+) in one place", "Offers categorized browsing across 54 categories", "Open source and built with TypeScript" ], "cons": [ "Limited to developer-focused deals, not general software or services", "Deal freshness depends on maintenance and may become outdated", "Small community with only 7 stars on GitHub" ], "tags": [ "developer-tools", "free-tier", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 7, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/robhunter/agentdeals", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "browsermcp-mcp", "pipedreamhq-pipedream" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/robhunter-agentdeals" }, { "slug": "robspectre-mvf1", "name": "RobSpectre/mvf1", "vendor": "Various", "tagline": "A Python package and command line interface to control video players for MultiViewer For F1, the best way to watch Formula 1.", "description": "mvf1 is a Python package and CLI that controls video players within MultiViewer For F1. It allows users to programmatically manage playback across multiple synchronized views for Formula 1 broadcasts.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and F1 fans who want to script or automate video playback in MultiViewer For F1.", "useCases": [ "Automating multi-view camera layouts during race sessions", "Syncing playback across several F1 video streams", "Building custom scripts to control video player states" ], "pros": [ "Simple CLI interface for quick automation", "Python package integrates with existing scripting workflows", "Lightweight and focused on a single niche use case" ], "cons": [ "Requires MultiViewer For F1 to be installed and running", "Limited to F1 content only, no broader video player support", "Small community with only 18 stars and sparse documentation" ], "tags": [], "featured": false, "tier": "curated", "stars": 18, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-07-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/RobSpectre/mvf1", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/robspectre-mvf1" }, { "slug": "rocketride-org-rocketride-server", "name": "rocketride-org/rocketride-server", "vendor": "Various", "tagline": "High-performance AI pipeline engine with a C++ core and 50+ Python-extensible nodes. Build, debug, and scale LLM workflows with 13+ model providers, 8+ vector databases, and agent", "description": "Rocketride is a high-performance AI pipeline engine with a C++ core and over 50 Python-extensible nodes. It allows developers to build, debug, and scale LLM workflows from their IDE, supporting 13+ model providers, 8+ vector databases, and agent orchestration. The tool includes a VS Code extension, TypeScript and Python SDKs, and Docker deployment.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building complex, multi-provider LLM pipelines who need high performance and IDE integration.", "useCases": [ "Orchestrating multi-step LLM pipelines with custom nodes", "Debugging and scaling agent workflows in the IDE", "Integrating multiple model providers and vector databases in one pipeline" ], "pros": [ "High-performance C++ core for low-latency pipeline execution", "Extensible with 50+ Python nodes and SDKs for TypeScript and Python", "Supports a wide range of model providers and vector databases" ], "cons": [ "Requires familiarity with C++ for core modifications", "Docker deployment adds overhead for simple projects", "Limited to IDE-based workflow (VS Code) for full debugging features" ], "tags": [ "ai", "cpp", "data-pipeline", "data-processing", "machine-learning", "mcp", "python", "sdk" ], "featured": false, "tier": "curated", "stars": 3737, "language": [ "C++" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/rocketride-org/rocketride-server", "relations": { "works_in": [], "uses": [ "docker" ], "built_with": [], "pairs_with": [ "langflow", "flowise", "langchain", "dify" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/rocketride-org-rocketride-server" }, { "slug": "rogertheunissenmerge-oss-mcp-server", "name": "rogertheunissenmerge-oss/mcp-server", "vendor": "Various", "tagline": "Wine pairing MCP server for AI assistants — Claude, Cursor, Windsurf. Powered by SommelierX Wine DNA algorithm. Supports API key and x402 (USDC on Base) payment.", "description": "A wine pairing MCP server for AI assistants like Claude, Cursor, and Windsurf. It uses the SommelierX Wine DNA algorithm to provide recommendations. Access requires an API key or x402 payment with USDC on Base.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers integrating wine pairing functionality into AI assistants or experimenting with x402 payments", "useCases": [ "Add wine pairing recommendations to AI chat workflows", "Create wine-focused features in AI-powered applications", "Test x402 pay-per-request integrations with blockchain payments" ], "pros": [ "Specialized for wine pairing with a dedicated algorithm", "Works with multiple popular AI assistants via MCP", "Supports an innovative payment model for API access" ], "cons": [ "Narrow domain limits broader application use", "New project with no community traction yet", "Requires either API key setup or x402 payment understanding" ], "tags": [ "ai-tools", "anthropic", "api", "claude", "cursor", "food-pairing", "llm", "mcp" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/rogertheunissenmerge-oss/mcp-server", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/rogertheunissenmerge-oss-mcp-server" }, { "slug": "rohitg00-kubectl-mcp-server", "name": "rohitg00/kubectl-mcp-server", "vendor": "Various", "tagline": "Published in CNCF Landscape: A MCP server for Kubernetes.", "description": "An open-source server that implements the Model Context Protocol to let AI assistants execute kubectl commands against Kubernetes clusters. It enables natural-language-driven cluster operations by translating requests into kubectl invocations.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and platform engineers wanting to integrate natural language interfaces with Kubernetes operations", "useCases": [ "Managing Kubernetes resources via AI chatbot commands", "Automating routine kubectl workflows through AI agents", "Querying cluster state and logs without manual kubectl usage" ], "pros": [ "Published in the CNCF Landscape, indicating community and ecosystem relevance", "Written in Python, making it accessible for customization and contribution", "High GitHub stars (902) suggest broad adoption and active interest" ], "cons": [ "Requires kubectl installed and configured on the server host", "Exposes cluster access to AI agents, requiring careful permission and security controls", "Limited to the capabilities and output of kubectl commands" ], "tags": [ "ai", "deployment", "devops", "genai", "kubernetes", "kubernetes-cluster", "kubernetes-tools", "llms" ], "featured": false, "tier": "curated", "stars": 902, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/rohitg00/kubectl-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "txn2-kubefwd" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/rohitg00-kubectl-mcp-server" }, { "slug": "rohanmuppa-brightspace-mcp-server", "name": "RohanMuppa/brightspace-mcp-server", "vendor": "Various", "tagline": "MCP server for Brightspace (D2L). Check grades, due dates, assignments, announcements, rosters, syllabus & course content via Claude, ChatGPT, Cursor, Windsurf, or any MCP client.", "description": "An MCP server for the Brightspace LMS (D2L) that exposes grades, assignments, due dates, announcements, rosters, syllabus and course content through the Model Context Protocol. Run it with npx and connect from any MCP client like Claude or ChatGPT.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Students and instructors using Brightspace who want to interact with LMS data through AI chat interfaces", "useCases": [ "Check upcoming assignment due dates via chat", "Retrieve course roster or grades quickly through an AI assistant", "Browse syllabus and announcements without logging into Brightspace" ], "pros": [ "Works with any school using Brightspace", "Supports multiple MCP clients (Claude, ChatGPT, Cursor, Windsurf)", "Open source and easy to run with npx" ], "cons": [ "Relies on Brightspace API availability and student/instructor access", "Small community (20 GitHub stars) may mean slower updates or fewer contributions", "Requires Node.js and npm setup to run" ], "tags": [ "ai", "assignments", "brightspace", "brightspace-api", "chatgpt", "claude", "claude-desktop", "cursor" ], "featured": false, "tier": "curated", "stars": 20, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/RohanMuppa/brightspace-mcp-server", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/rohanmuppa-brightspace-mcp-server" }, { "slug": "romthpt-xrpl-mcp-server", "name": "RomThpt/xrpl-mcp-server", "vendor": "Various", "tagline": "📇 ☁️ - MCP server for the XRP Ledger that provides access to account information, transaction history, and network data. Allows querying ledger objects, submitting transactions, a", "description": "An MCP server that connects AI agents to the XRP Ledger. It exposes account details, transaction history, and network data through the Model Context Protocol, enabling agents to query ledger objects and submit transactions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to interact with the XRP Ledger", "useCases": [ "Query XRP account balances and transaction history", "Submit XRP transactions from an AI agent", "Retrieve ledger objects and network data" ], "pros": [ "Direct integration with XRP Ledger via MCP", "Supports both read and write operations", "Written in TypeScript for type safety" ], "cons": [ "Small community with only 11 GitHub stars", "Limited documentation and examples", "Requires understanding of XRP Ledger concepts" ], "tags": [], "featured": false, "tier": "curated", "stars": 11, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/RomThpt/mcp-xrpl", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/romthpt-xrpl-mcp-server" }, { "slug": "ronantakizawa-a11ymcp", "name": "ronantakizawa/a11ymcp", "vendor": "Various", "tagline": "MCP Server for Web Accessibility Testing (6k+ Downloads, #20 on ProductHunt)", "description": "A JavaScript-based MCP server that enables automated web accessibility testing. It integrates with MCP-compatible tools to run accessibility checks directly in development workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using MCP-based environments who need automated accessibility testing in their workflow.", "useCases": [ "Run accessibility audits on web pages during development", "Integrate automated checks into CI/CD pipelines via MCP", "Test multiple URLs for WCAG compliance without manual inspection" ], "pros": [ "Open source with 6k+ downloads and active community interest", "Leverages MCP for seamless integration with AI-assisted development tools", "Focused specifically on accessibility testing, reducing setup overhead" ], "cons": [ "Tied to the MCP ecosystem; not a standalone testing tool", "Relatively low star count (86) may indicate limited community support", "Requires MCP client setup, adding complexity for simple use cases" ], "tags": [ "a11y", "a11y-testing", "accessibility-testing", "mcp" ], "featured": false, "tier": "curated", "stars": 86, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/ronantakizawa/a11ymcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ronantakizawa-a11ymcp" }, { "slug": "roomi-fields-notebooklm-mcp", "name": "roomi-fields/notebooklm-mcp", "vendor": "Various", "tagline": "Google NotebookLM over MCP + a local HTTP REST API. Citation-backed Q&A, audio/video/content generation, multi-account rotation. For Claude Code, Codex, Cursor, n8n, Zapier, Make.", "description": "roomi-fields/notebooklm-mcp is a TypeScript MCP server that wraps Google NotebookLM for use with AI assistants and automation tools. It provides citation-backed question answering, content generation, and audio/video creation via a local HTTP REST API. The tool supports multi-account rotation to handle rate limits or quotas.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building custom workflows that need citation-based answers and content generation from NotebookLM.", "useCases": [ "Add citation-backed Q&A to AI coding assistants like Claude Code or Cursor.", "Generate audio summaries or video content from NotebookLM notes via automated workflows in n8n or Zapier.", "Rotate multiple NotebookLM accounts to manage API usage within platform limits." ], "pros": [ "Integrates NotebookLM’s citation features with popular developer tools (Claude Code, Cursor, n8n, etc.).", "Supports multi-account rotation to help avoid rate limiting during automated tasks.", "Open-source TypeScript project with 86 stars, allowing customization and community contributions." ], "cons": [ "Requires configuring Google NotebookLM API access, which is not a general-purpose public API.", "Limited to NotebookLM’s own capabilities; not a replacement for broader LLM services.", "Relatively new project with small community (86 stars); may lack extensive documentation or support." ], "tags": [ "ai", "anthropic", "automation", "citations", "claude", "claude-code", "gemini", "google-notebooklm" ], "featured": false, "tier": "curated", "stars": 86, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/roomi-fields/notebooklm-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/roomi-fields-notebooklm-mcp" }, { "slug": "rootly-ai-labs-rootly-mcp-server", "name": "Rootly-AI-Labs/Rootly-MCP-server", "vendor": "Various", "tagline": "Rootly MCP server", "description": "Rootly MCP server is a Python-based tool that exposes Rootly incident management capabilities through the Model Context Protocol. It allows AI agents to create, update, and manage incidents programmatically via a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need to manage Rootly incidents", "useCases": [ "Automating incident creation and updates from AI assistants", "Integrating incident management into AI-driven workflows", "Querying incident status and history through natural language" ], "pros": [ "Enables direct AI agent interaction with Rootly incident data", "Lightweight Python implementation with clear MCP protocol", "Open source with 42 stars and active community potential" ], "cons": [ "Limited to Rootly platform, not a general incident management solution", "Small user base may mean fewer community contributions", "Requires understanding of both MCP and Rootly APIs" ], "tags": [], "featured": false, "tier": "curated", "stars": 42, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/Rootly-AI-Labs/Rootly-MCP-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "sooperset-mcp-atlassian" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/rootly-ai-labs-rootly-mcp-server" }, { "slug": "rossshannon-weekly-weather-mcp", "name": "rossshannon/Weekly-Weather-mcp", "vendor": "Various", "tagline": "Weather MCP server which returns 7 days of detailed weather forecasts anywhere in the world", "description": "This is a Model Context Protocol (MCP) server that provides 7-day detailed weather forecasts for any location worldwide. It is written in Python and integrates with MCP clients like Claude to deliver structured weather data to language models.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based tools that need to supply weather forecasts to language models", "useCases": [ "Enrich an LLM application with real-time weather context for user queries", "Provide 7-day forecast data for trip planning or event scheduling", "Add weather awareness to conversational agents or automation tools" ], "pros": [ "Simple Python implementation, easy to set up and modify", "Returns detailed 7-day forecast for any global location", "Open source and publicly available on GitHub" ], "cons": [ "Limited to 7-day forecasts; no real-time or historical weather data", "Requires an MCP client and likely an external weather API key to function", "Low community traction with only 8 stars on GitHub" ], "tags": [ "mcp", "mcp-server", "mcp-servers", "onecallapi", "weather" ], "featured": false, "tier": "curated", "stars": 8, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-01-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/rossshannon/weekly-weather-mcp.git", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/rossshannon-weekly-weather-mcp" }, { "slug": "roychri-mcp-server-asana", "name": "roychri/mcp-server-asana", "vendor": "Various", "tagline": "📇 ☁️ This Model Context Protocol server implementation of Asana allows you to talk to Asana API from MCP Client such as Anthropic's Claude Desktop Application, and many more.", "description": "This is a Model Context Protocol server that connects MCP clients like Claude Desktop to the Asana API. It lets you manage tasks, projects, and other Asana resources through natural language conversations.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to manage Asana tasks and projects through conversational AI interfaces", "useCases": [ "Create and assign tasks in Asana from a chat interface", "Query project status and task details without leaving the MCP client", "Update task due dates or descriptions using natural language commands" ], "pros": [ "Enables direct Asana management from Claude Desktop and other MCP clients", "Written in TypeScript, making it easy to extend or debug", "Open source with 139 stars, indicating community interest and testing" ], "cons": [ "Requires an MCP-compatible client to function, limiting standalone use", "Depends on Asana API availability and rate limits", "No built-in authentication or credential management beyond what the MCP client provides" ], "tags": [], "featured": false, "tier": "curated", "stars": 139, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/roychri/mcp-server-asana", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [ "sooperset-mcp-atlassian" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/roychri-mcp-server-asana" }, { "slug": "rplryan-x402-discovery-mcp", "name": "rplryan/x402-discovery-mcp", "vendor": "Various", "tagline": "MCP server for x402 Service Discovery — continuously growing catalog of services, real-time quality signals, facilitator-compat checks. For Claude, Cursor, Windsurf.", "description": "A Model Context Protocol (MCP) server that enables x402 Service Discovery with a continuously growing catalog of services. It collects real-time quality signals and performs facilitator-compatibility checks for use with Claude, Cursor, and Windsurf.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building on the x402 protocol who need a lightweight MCP service discovery layer", "useCases": [ "Discovering available x402 services from a centralized catalog", "Checking real-time quality metrics before integrating a service", "Verifying facilitator compatibility for MCP-based clients" ], "pros": [ "Live quality signals help assess service reliability", "Compatibility checks reduce integration friction", "Open catalog can expand with community contributions" ], "cons": [ "Small community (2 stars) limits trust and support", "Tied to x402 ecosystem, not general-purpose service discovery", "Requires compatible MCP clients (Claude, Cursor, Windsurf) to use" ], "tags": [ "ai-agents", "base-chain", "base-network", "claude", "coinbase", "cursor", "llm-tools", "mcp" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/rplryan/x402-discovery-mcp", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/rplryan-x402-discovery-mcp" }, { "slug": "rps321321-obsidian-mcp-pro", "name": "rps321321/obsidian-mcp-pro", "vendor": "Various", "tagline": "The most feature-complete MCP server for Obsidian vaults — 23 tools + 3 resources for search, read, write, tags, link analysis, graph traversal, and canvas. Also ships as an Obsidi", "description": "An MCP server providing 23 tools and 3 resources for interacting with Obsidian vaults, including search, read, write, tag management, link analysis, graph traversal, and canvas operations. It is the most feature-complete MCP server for Obsidian and also ships as an Obsidian plugin.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building automated workflows for personal knowledge management in Obsidian", "useCases": [ "Automating vault-wide tag updates and link audits", "Building AI tools that read and write notes programmatically", "Extracting relationship graphs and canvas data for analysis" ], "pros": [ "Feature-rich with 23 tools covering most vault operations", "Dual distribution as MCP server and Obsidian plugin", "TypeScript codebase with straightforward extension points" ], "cons": [ "Small community with only 16 GitHub stars indicates early adoption", "No listed documentation beyond README for plugin integration", "Potential instability as a young project with limited feedback" ], "tags": [], "featured": false, "tier": "curated", "stars": 16, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/rps321321/obsidian-mcp-pro", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/rps321321-obsidian-mcp-pro" }, { "slug": "rrmistry-tilt-mcp", "name": "rrmistry/tilt-mcp", "vendor": "Various", "tagline": "MCP server for Tilt - enables LLMs to interact with your Tilt dev environment for building, deploying, and debugging Kubernetes workloads", "description": "rrmistry/tilt-mcp is a Model Context Protocol server that enables LLMs to interact with a Tilt development environment. It allows LLMs to build, deploy, and debug Kubernetes workloads through Tilt's tooling.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers already using Tilt who want to experiment with LLM-driven Kubernetes development", "useCases": [ "Triggering Tilt builds and deployments from an LLM chat interface", "Debugging Kubernetes workloads by querying Tilt status via an LLM", "Automating common Tilt workflows with natural language commands" ], "pros": [ "Tight integration with Tilt's existing dev workflow", "Lightweight Python implementation with minimal dependencies", "Enables natural language control of Kubernetes development tasks" ], "cons": [ "Very early stage with only 5 GitHub stars and limited community", "Requires a running Tilt environment and MCP-compatible LLM client", "No documentation beyond the repository README" ], "tags": [ "claude", "developer-tools", "kubernetes", "llm", "mcp", "model-context-protocol", "tilt" ], "featured": false, "tier": "curated", "stars": 5, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/rrmistry/tilt-mcp", "relations": { "works_in": [ "cline", "claude-code", "cursor", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/rrmistry-tilt-mcp" }, { "slug": "rsdouglas-janee", "name": "rsdouglas/janee", "vendor": "Various", "tagline": "Secrets management for AI agents via MCP • @janeesecure", "description": "rsdouglas/janee is a TypeScript library for managing secrets in AI agents using the Model Context Protocol (MCP). It provides a secure way to store and retrieve credentials such as API keys and tokens that agents can access at runtime.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-compatible AI agents who need a straightforward way to handle secrets.", "useCases": [ "Store and retrieve API keys for MCP-based AI agents", "Inject sensitive credentials into agent prompts or tool calls", "Manage multiple secret values across different agent workflows" ], "pros": [ "Lightweight and focused on AI agent security", "Open source with simple TypeScript API", "Directly integrates with MCP for context-aware secret access" ], "cons": [ "Low community adoption (28 GitHub stars) may indicate early stage", "Relies on MCP ecosystem, limiting use outside that protocol", "Not a full-featured vault; designed only for agent secret injection" ], "tags": [ "ai-agents", "api-keys", "claude", "cursor", "llm", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 28, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/rsdouglas/janee", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "awslabs-mcp", "agent-infra-mcp-server-browser", "mediar-ai-screenpipe" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/rsdouglas-janee" }, { "slug": "rubenayla-partle-mcp", "name": "rubenayla/partle-mcp", "vendor": "Various", "tagline": "Partle Marketplace MCP Server — search products and stores in nearby physical stores", "description": "Partle Marketplace MCP Server is a Python-based tool that enables searching for products and stores in nearby physical stores. It integrates with the Partle marketplace to provide real-time inventory and location data.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building location-aware shopping assistants or local product search tools", "useCases": [ "Find products available in nearby physical stores", "Locate stores carrying specific items", "Integrate local shopping search into AI assistants" ], "pros": [ "Focuses on physical store inventory, not just online", "Simple Python implementation for easy integration", "Provides real-time local product availability" ], "cons": [ "No stars or community adoption yet", "Limited to Partle marketplace data", "Requires nearby physical stores to be on Partle" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-05-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/rubenayla/partle-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/rubenayla-partle-mcp" }, { "slug": "rudraneel93-mcp-guardian", "name": "rudraneel93/mcp-guardian", "vendor": "Various", "tagline": "Security, cost, and health governance proxy for MCP infrastructure — YAML policy engine, OAuth 2.1/OIDC, web dashboard, mTLS, semantic shell analysis, STRIDE threat model", "description": "A governance proxy for MCP infrastructure that enforces security, cost, and health policies. It provides a YAML policy engine, OAuth 2.1/OIDC authentication, mTLS, a web dashboard, and integrates a STRIDE threat model with semantic shell analysis.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building or running MCP infrastructure who need a governance layer for security, cost, and health", "useCases": [ "Enforce access control and security policies in MCP services", "Monitor and limit operational costs across MCP infrastructure", "Audit and inspect shell commands for potential threats" ], "pros": [ "Written in TypeScript and open source", "Includes a web dashboard for visibility and management", "Supports OAuth 2.1/OIDC and mTLS for secure communication" ], "cons": [ "Very early stage with only 2 GitHub stars", "Limited documentation and community support", "Likely incomplete or unstable for production use" ], "tags": [ "audit", "cli", "governance", "infrastructure", "llm-security", "mcp", "model-context-protocol", "observability" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/rudraneel93/mcp-guardian", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/rudraneel93-mcp-guardian" }, { "slug": "runekaagaard-mcp-alchemy", "name": "runekaagaard/mcp-alchemy", "vendor": "Various", "tagline": "A MCP (model context protocol) server that gives the LLM access to and knowledge about relational databases like SQLite, Postgresql, MySQL & MariaDB, Oracle, and MS-SQL.", "description": "runekaagaard/mcp-alchemy is a Python-based Model Context Protocol (MCP) server that provides LLMs with access to relational databases. It supports SQLite, PostgreSQL, MySQL, MariaDB, Oracle, and MS-SQL, allowing language models to query and interact with database schemas and data.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing to integrate LLMs with existing relational databases in a standardized way", "useCases": [ "Query databases using natural language from an MCP-compatible LLM client", "Expose database schema to AI agents for automated analysis", "Enable data retrieval and exploration in MCP-driven applications" ], "pros": [ "Supports a wide range of databases (SQLite, PostgreSQL, MySQL, MariaDB, Oracle, MS-SQL)", "Built on the MCP standard for interoperability with various LLM clients", "Written in Python, making it easy to extend or deploy in existing workflows" ], "cons": [ "Requires a compatible MCP client to function", "May expose sensitive database information if access controls are not properly configured", "Performance is constrained by database size and query complexity" ], "tags": [], "featured": false, "tier": "curated", "stars": 405, "language": [ "Python" ], "license": "MPL-2.0", "lastUpdated": "2025-08-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/runekaagaard/mcp-alchemy", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "mindsdb-mindsdb" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/runekaagaard-mcp-alchemy" }, { "slug": "runyourempire-4da", "name": "runyourempire/4DA", "vendor": "Various", "tagline": "Privacy-first developer intelligence — surfaces what matters from the noise", "description": "Privacy-first developer intelligence. Surfaces what matters from the noise. Written in Rust and available on GitHub.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers seeking a privacy-conscious intelligence layer to reduce noise in their workflows.", "useCases": [ "Filtering relevant information from high-noise environments", "Building privacy-respecting developer tools", "Extracting actionable intelligence from raw data streams" ], "pros": [ "Privacy-first design by default", "Rust gives performance and memory safety", "Open source with a public repository" ], "cons": [ "Zero stars indicates very early or unproven project", "No documented use cases or integrations", "Limited community and ecosystem support" ], "tags": [ "ai", "desktop-app", "developer-intelligence", "developer-tools", "local-first", "mcp", "ollama", "privacy" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Rust" ], "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/runyourempire/4DA/tree/main/mcp-4da-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mediar-ai-screenpipe", "upstash-context7" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/runyourempire-4da" }, { "slug": "rupinder2-mcp-orchestrator", "name": "rupinder2/mcp-orchestrator", "vendor": "Various", "tagline": "MCP Orchestration Gateway – aggregates tools from multiple MCP servers with BM25 search and deferred loading for Claude Desktop", "description": "An MCP orchestration gateway that aggregates tools from multiple MCP servers. It uses BM25 search for tool discovery and supports deferred loading for integration with Claude Desktop. Built in Python, it acts as a lightweight middleware for managing distributed tool sets.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude Desktop who need to aggregate and search across multiple MCP servers", "useCases": [ "Aggregating tools from multiple MCP servers into a single gateway", "Enabling BM25-based search across available tools", "Integrating deferred tool loading with Claude Desktop" ], "pros": [ "Simplifies access to multiple MCP servers through one interface", "BM25 search provides relevant tool discovery", "Deferred loading reduces startup overhead for Claude Desktop" ], "cons": [ "Very low community adoption (2 GitHub stars) suggests limited testing", "May lack documentation or ongoing maintenance", "Tied to Claude Desktop, reducing general applicability" ], "tags": [ "claude", "claude-desktop", "fastmcp", "mcp", "mcp-server", "model-context-protocol", "tool-aggregation", "tool-search-tool" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-02-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/rupinder2/mcp-orchestrator", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/rupinder2-mcp-orchestrator" }, { "slug": "rushikeshmore-codecortex", "name": "rushikeshmore/CodeCortex", "vendor": "Various", "tagline": "Persistent codebase knowledge layer for AI agents. Pre-builds architecture, dependency, coupling, and risk knowledge served via MCP. 27 languages, 13 tools.", "description": "CodeCortex pre-builds a persistent knowledge layer for AI agents extracting architecture, dependency, coupling, and risk data from codebases. It serves this knowledge through the Model Context Protocol (MCP) supporting 27 languages and 13 analysis tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using AI agents to navigate and understand large, multi-language codebases.", "useCases": [ "Feed an AI agent structured codebase context to answer architecture questions", "Map dependencies and coupling across a multi-language project", "Identify risk areas before making cross-cutting changes" ], "pros": [ "Reduces redundant re-analysis by caching knowledge persistently", "Broad language support and structured MCP interface for agents", "No runtime dependency on external APIs once built" ], "cons": [ "Requires a one-time setup and initial analysis run", "Knowledge can become stale if code changes out of sync with the pre-built layer", "Limited to the 13 predefined tools; custom analyses not supported" ], "tags": [ "ai-agents", "ai-coding", "claude-code", "code-analysis", "codebase-context", "context-engineering", "cursor", "developer-tools" ], "featured": false, "tier": "curated", "stars": 5, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/rushikeshmore/CodeCortex", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/rushikeshmore-codecortex" }, { "slug": "rusiaaman-wcgw", "name": "rusiaaman/wcgw", "vendor": "Various", "tagline": "Shell and coding agent on mcp clients", "description": "wcgw is an open-source Python tool that acts as a shell and coding agent for MCP (Model Context Protocol) clients. It exposes shell command execution and code running capabilities through the MCP interface, enabling AI models to interact with the user's system programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using MCP clients who need a lightweight shell and coding agent", "useCases": [ "Executing shell commands from an MCP client", "Running code snippets in various languages via the agent", "Automating development workflows through MCP-based tools" ], "pros": [ "Open source with 660 GitHub stars, indicating community interest", "Written in Python, making it accessible for customization", "Integrates directly with MCP clients for seamless agent interaction" ], "cons": [ "Requires an MCP client to function, limiting standalone use", "Setup and configuration may be needed for different environments", "Documentation is primarily in a single Readme, potentially sparse" ], "tags": [ "agent", "ai-agent", "ai-coding", "anthropic", "chatgpt", "claude", "claude-desktop", "custom-gpt" ], "featured": false, "tier": "curated", "stars": 660, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-04-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/rusiaaman/wcgw/blob/main/src/wcgw/client/mcp_server/Readme.md", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "claude-code", "continue" ], "alternative_to": [ "pydantic-pydantic-ai-mcp-run-python", "wonderwhy-er-desktopcommandermcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/rusiaaman-wcgw" }, { "slug": "rust-works-omni-dev", "name": "rust-works/omni-dev", "vendor": "Various", "tagline": "AI-powered git commit rewriter, PR generator, and MCP server for Jira, Confluence, and Datadog. Single Rust binary.", "description": "A single Rust binary that rewrites git commits, generates pull requests, and provides an MCP server for Jira, Confluence, and Datadog. It integrates with development workflows to automate commit message formatting and PR creation.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want a lightweight, all-in-one CLI for commit rewriting and PR generation with Atlassian and Datadog integration", "useCases": [ "Automatically format and rewrite git commit messages to follow project conventions", "Generate pull request descriptions from commit history", "Connect to Jira, Confluence, or Datadog via MCP for context-aware automation" ], "pros": [ "Single binary deployment with no runtime dependencies", "Covers multiple automation tasks in one tool", "Rust performance and reliability" ], "cons": [ "Very small community with only 6 GitHub stars", "Limited documentation and support resources", "Narrow integration scope (Jira, Confluence, Datadog only)" ], "tags": [ "ai", "anthropic", "atlassian", "automation", "claude", "cli", "commit-message", "confluence" ], "featured": false, "tier": "curated", "stars": 6, "language": [ "Rust" ], "license": "BSD-3-Clause", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/rust-works/omni-dev", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "idosal-git-mcp", "sooperset-mcp-atlassian" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/rust-works-omni-dev" }, { "slug": "ryan0204-github-repo-mcp", "name": "ryan0204/github-repo-mcp", "vendor": "Various", "tagline": "Model Context Protocol server for Github Repo // Reading Github Repo", "description": "A Model Context Protocol (MCP) server that reads files and structure from a GitHub repository. It bridges MCP-compatible clients with GitHub's API to fetch repository content for AI agents.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to give AI agents real-time read access to GitHub repositories", "useCases": [ "Reading repository files during AI-assisted development", "Exploring codebases without cloning locally", "Providing repository context to an AI agent for analysis" ], "pros": [ "Works with any MCP-compatible client like Claude", "Direct access to public GitHub repos without extra API keys", "Lightweight Node.js server easy to run locally" ], "cons": [ "Only supports reading repository content, not writing", "Small project with limited community support and testing", "Requires manual configuration of MCP client" ], "tags": [ "github", "github-mcp", "github-mcp-server", "mcp", "mcp-github", "mcp-server" ], "featured": false, "tier": "curated", "stars": 27, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2025-04-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/Ryan0204/github-repo-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp", "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ryan0204-github-repo-mcp" }, { "slug": "s2-streamstore-s2-sdk-typescript", "name": "s2-streamstore/s2-sdk-typescript", "vendor": "Various", "tagline": "TypeScript SDK for S2, the durable streams API", "description": "TypeScript SDK providing a client for the S2 durable streams API. It enables developers to interact with S2's stream store from TypeScript or JavaScript applications.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers already using or evaluating S2 durable streams who need a TypeScript client", "useCases": [ "Building durable streaming pipelines with TypeScript", "Integrating S2 stream store into Node.js or browser apps", "Managing stream lifecycle and data flow programmatically" ], "pros": [ "Native TypeScript support with type definitions", "Open source with permissive license", "Lightweight client for the S2 API" ], "cons": [ "Low GitHub star count (30) suggests limited community adoption", "Documentation and examples may be sparse", "Dependency on S2 infrastructure which is not widely known" ], "tags": [ "durable", "durable-streams", "real-time", "streaming", "streamstore", "typescript", "write-ahead-log" ], "featured": false, "tier": "curated", "stars": 30, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/s2-streamstore/s2-sdk-typescript", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/s2-streamstore-s2-sdk-typescript" }, { "slug": "s-b-e-n-s-o-n-portkey-admin-mcp", "name": "s-b-e-n-s-o-n/portkey-admin-mcp", "vendor": "Various", "tagline": "Full Portkey Admin API MCP server", "description": "This MCP server exposes the Portkey admin API as a set of tools. It allows you to manage Portkey resources like API keys, workspaces, and configurations via natural language prompts.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who use Portkey and want to manage its admin features via an MCP-compatible assistant.", "useCases": [ "Create and rotate Portkey API keys through a chat interface", "Manage Portkey workspaces and member permissions", "Retrieve and update Portkey configuration settings" ], "pros": [ "Simplifies Portkey administration with a conversational interface", "Written in TypeScript for type safety and maintainability", "Small, focused scope reduces complexity" ], "cons": [ "Limited to Portkey admin operations only", "Low community engagement with only 4 stars", "Requires existing Portkey account and API key setup" ], "tags": [], "featured": false, "tier": "curated", "stars": 4, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/s-b-e-n-s-o-n/portkey-admin-mcp", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/s-b-e-n-s-o-n-portkey-admin-mcp" }, { "slug": "s60yucca-mnemos", "name": "s60yucca/mnemos", "vendor": "Various", "tagline": "s60yucca/mnemos — indexed from awesome-mcp-servers-punkpeye", "description": "Mnemos is a Go-based MCP server that provides memory and knowledge graph capabilities for AI agents. It stores and retrieves structured information using a graph database, enabling persistent context across sessions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with persistent memory for MCP-based AI agents", "useCases": [ "Give an AI agent long-term memory across conversations", "Store and query structured knowledge as a graph", "Integrate persistent context into MCP-compatible tools" ], "pros": [ "Lightweight Go implementation with minimal dependencies", "Graph-based storage enables rich relational queries", "Open source with a permissive license" ], "cons": [ "Very early stage with only 9 GitHub stars and limited community", "No documentation beyond the repository README", "Requires manual setup and integration effort" ], "tags": [], "featured": false, "tier": "curated", "stars": 9, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-05-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/s60yucca/mnemos", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "topoteretes-cognee" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/s60yucca-mnemos" }, { "slug": "sachitrafa-yourmemory", "name": "sachitrafa/YourMemory", "vendor": "Various", "tagline": "Agentic AI memory with Ebbinghaus forgetting curve decay. +16pp better recall than Mem0 on LoCoMo.", "description": "YourMemory is a Python library that implements agentic AI memory using Ebbinghaus forgetting curve decay to model how memories fade over time. It reports a 16 percentage point improvement in recall over Mem0 on the LoCoMo benchmark.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents with persistent, time-decaying memory", "useCases": [ "Implementing long-term memory for AI agents", "Improving recall in conversational AI systems", "Creating context-aware agents with time-decaying memory" ], "pros": [ "Achieves +16pp recall over Mem0 on LoCoMo", "Uses Ebbinghaus forgetting curve for realistic memory decay", "Open-source Python library with 232 GitHub stars" ], "cons": [ "Benchmark limited to LoCoMo dataset", "Requires additional integration work for production systems", "Small community compared to Mem0" ], "tags": [ "ai-agents", "claude", "ebbinghaus", "llm-memory", "mcp", "memory", "model-context-protocol", "pgvector" ], "featured": false, "tier": "curated", "stars": 232, "language": [ "Python" ], "lastUpdated": "2026-05-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/sachitrafa/YourMemory", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "topoteretes-cognee" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sachitrafa-yourmemory" }, { "slug": "safedep-vet", "name": "safedep/vet", "vendor": "Various", "tagline": "Protect against malicious open source packages 🤖", "description": "Vet is an open source tool that scans open source dependencies for malicious packages. It uses static analysis and community threat intelligence to detect known malware, typosquatting, and suspicious behavior in Go modules and other ecosystems.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Teams that want a lightweight, targeted check for malicious open source packages in their Go projects or CI pipelines.", "useCases": [ "Audit third-party dependencies for known malicious packages before adding them to a project", "Integrate into CI/CD pipelines to block builds that include flagged dependencies", "Scan existing lockfiles or manifests to identify compromised or suspicious packages" ], "pros": [ "Focused specifically on malicious package detection, not general vulnerability scanning", "Written in Go, making it fast and easy to run in CI or locally", "Leverages community threat feeds for up-to-date detection" ], "cons": [ "Limited to ecosystems supported by its analysis engine (primarily Go, with partial support for others)", "Relies on external threat feeds, which may have gaps or delays for novel attacks", "No built-in remediation or dependency update suggestions" ], "tags": [ "devsecops", "golang", "hacktoberfest", "npm", "policy-as-code", "pypi", "rubygems", "security" ], "featured": false, "tier": "curated", "stars": 1059, "language": [ "Go" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/safedep/vet/blob/main/docs/mcp.md", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/safedep-vet" }, { "slug": "saikiyusuke-registep-mcp", "name": "saikiyusuke/registep-mcp", "vendor": "Various", "tagline": "Registep MCP Server - AI-powered POS & sales analytics for Claude Code, Cursor, and other MCP clients", "description": "A Model Context Protocol (MCP) server that exposes point-of-sale and sales analytics data to MCP-compatible clients like Claude Code and Cursor. It is written in TypeScript and provides structured access to sales metrics for AI-assisted analysis.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-assisted sales analytics tools with MCP clients", "useCases": [ "Query sales data from POS systems through AI assistants", "Integrate real-time sales analytics into coding workflows", "Automate reporting by connecting MCP clients to sales databases" ], "pros": [ "Leverages MCP standard for broad client compatibility", "TypeScript codebase for type safety and maintainability", "Enables natural language queries on sales data" ], "cons": [ "Zero GitHub stars indicates minimal community validation", "No documented usage examples or test coverage", "Dependency on external POS system integration not specified" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "lastUpdated": "2026-02-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/saikiyusuke/registep-mcp", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/saikiyusuke-registep-mcp" }, { "slug": "sailorpepe-undesirables-mcp-server", "name": "sailorpepe/undesirables-mcp-server", "vendor": "Various", "tagline": "Zero-trust Python FastMCP intelligence core for The Undesirables Ecosystem. Enables 100% local, offline AI agent tool-calling, native TTS, hardware-accelerated 3D forging, and stoc", "description": "A zero-trust Python FastMCP server for The Undesirables Ecosystem. It runs entirely locally and offline, providing AI agent tool-calling, native TTS, hardware-accelerated 3D forging, and stochastic eBay and TCG market simulations. No telemetry is included. It uses the Business Source License (BSL 1.1).", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building private, offline AI agent systems that need multimedia and market simulation capabilities", "useCases": [ "Run local AI agents with tool-calling without internet access", "Generate realistic eBay and TCG market simulations for testing", "Create hardware-accelerated 3D assets offline" ], "pros": [ "Fully local and offline with no telemetry", "Includes native TTS and hardware-accelerated 3D forging", "Stochastic market simulators for eBay and TCG" ], "cons": [ "Business Source License restricts commercial use for a period", "No stars on GitHub indicates very early or niche adoption", "Ecosystem is limited to The Undesirables framework" ], "tags": [ "ai-agents", "fastmcp", "llm", "market-analysis", "mcp", "mcp-server", "model-context-protocol", "monte-carlo" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/sailorpepe/undesirables-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sailorpepe-undesirables-mcp-server" }, { "slug": "saintdoresh-weather-mcp-claudedesktop", "name": "SaintDoresh/Weather-MCP-ClaudeDesktop", "vendor": "Various", "tagline": "An MCP (Model Context Protocol) tool that provides real-time weather data, forecasts, and historical weather information using the OpenWeatherMap API, specifically designed for Cla", "description": "An MCP tool that connects Claude Desktop to the OpenWeatherMap API. It provides real-time weather data, forecasts, and historical information through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to add weather queries directly inside Claude Desktop conversations", "useCases": [ "Ask Claude for the current weather in a specific city", "Retrieve a 5-day forecast during a conversation", "Access historical weather data for analysis or planning" ], "pros": [ "Simple integration with Claude Desktop using MCP", "Covers current, forecast, and historical weather data", "Lightweight Python implementation, easy to customize" ], "cons": [ "Requires an OpenWeatherMap API key to function", "Limited to Claude Desktop; not compatible with other MCP hosts", "Low community activity and minimal documentation" ], "tags": [], "featured": false, "tier": "curated", "stars": 9, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-03-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/SaintDoresh/Weather-MCP-ClaudeDesktop.git", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/saintdoresh-weather-mcp-claudedesktop" }, { "slug": "saintdoresh-crypto-trader-mcp-claudedesktop", "name": "SaintDoresh/Crypto-Trader-MCP-ClaudeDesktop", "vendor": "Various", "tagline": "An MCP (Model Context Protocol) tool that provides cryptocurrency market data using the CoinGecko API, specifically designed for Claude Desktop.", "description": "An MCP tool that connects Claude Desktop to live cryptocurrency market data via the CoinGecko API. It runs as a Python server, allowing Claude to fetch prices, trends, and other coin metrics through structured tool calls.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to query crypto prices conversationally inside Claude Desktop", "useCases": [ "Ask Claude for real-time Bitcoin or altcoin prices during a conversation", "Build a Claude-based dashboard that monitors crypto market movements", "Automate portfolio checks by having Claude query multiple coin prices" ], "pros": [ "Leverages Claude's natural language interface for quick market lookups", "Lightweight Python server with minimal setup for CoinGecko access", "Open source with a clear MCP integration pattern for Claude Desktop" ], "cons": [ "Limited to CoinGecko's free tier rate limits and data availability", "No trading execution or portfolio management capabilities", "Small community (19 stars) with limited documentation and support" ], "tags": [], "featured": false, "tier": "curated", "stars": 19, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-03-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/SaintDoresh/Crypto-Trader-MCP-ClaudeDesktop.git", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/saintdoresh-crypto-trader-mcp-claudedesktop" }, { "slug": "saintdoresh-yfinance-trader-mcp-claudedesktop", "name": "SaintDoresh/YFinance-Trader-MCP-ClaudeDesktop", "vendor": "Various", "tagline": "An MCP (Model Context Protocol) tool that provides stock market data and trading capabilities using the yfinance library, specifically adapted for Claude Desktop.", "description": "SaintDoresh/YFinance-Trader-MCP-ClaudeDesktop is an open-source MCP tool that allows Claude Desktop to fetch stock market data and perform trading operations through the yfinance library. It uses the Model Context Protocol to enable direct financial queries within Claude's interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Claude Desktop users who need quick access to stock market data for analysis and research.", "useCases": [ "Retrieve real-time and historical stock quotes via Claude Desktop", "Analyze stock performance trends using yfinance data", "Build custom financial analysis workflows with Claude" ], "pros": [ "Direct integration with Claude Desktop for financial data queries", "Leverages yfinance's comprehensive market data coverage", "Open source and customizable for specific needs" ], "cons": [ "Relies on yfinance which may have data delays or inaccuracies", "Requires Claude Desktop and MCP setup, limiting portability", "Not suitable for real-time trading or high-frequency data" ], "tags": [], "featured": false, "tier": "curated", "stars": 33, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-08-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/SaintDoresh/YFinance-Trader-MCP-ClaudeDesktop.git", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/saintdoresh-yfinance-trader-mcp-claudedesktop" }, { "slug": "salen-project-ticktick-mcp", "name": "Salen-Project/ticktick-mcp", "vendor": "Various", "tagline": "Turn Claude into your AI task manager. Create, manage & complete TickTick tasks just by talking — official OAuth API, local, private.", "description": "Salen-Project/ticktick-mcp is an MCP (Model Context Protocol) server that links Claude to TickTick via the official OAuth API. It runs locally and privately, letting users create, manage, and complete TickTick tasks through natural language conversation.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want voice or text-based TickTick task management through Claude", "useCases": [ "Create TickTick tasks by speaking or typing to Claude", "Update task statuses and details conversationally", "Complete tasks from within the Claude interface" ], "pros": [ "Uses official TickTick OAuth API for secure, authorized access", "Runs locally, keeping all task data private", "Simple Python-based MCP server, easy to set up for developers" ], "cons": [ "Requires a compatible MCP host like Claude Desktop to function", "Limited exclusively to TickTick integration", "Low star count (2) suggests early development or niche usage" ], "tags": [ "ai-assistant", "claude", "claude-mcp", "mcp", "mcp-server", "model-context-protocol", "oauth2", "productivity" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/Salen-Project/ticktick-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "eyaltoledano-claude-task-master" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/salen-project-ticktick-mcp" }, { "slug": "salwks-mcp-techtrend", "name": "salwks/mcp-techTrend", "vendor": "Various", "tagline": "salwks/mcp-techTrend — indexed from awesome-mcp-servers-punkpeye", "description": "salwks/mcp-techTrend is a Python-based MCP server that provides technology trend data. It indexes information from the awesome-mcp-servers-punkpeye repository to surface current trends.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want a simple MCP server to access technology trend data from a curated list.", "useCases": [ "Query technology trend data for research or analysis", "Integrate trend information into AI assistant workflows", "Explore indexed MCP server trends from a curated list" ], "pros": [ "Lightweight Python implementation", "Focused on a specific, useful data source", "Open source with a permissive license" ], "cons": [ "Very low community adoption (1 star)", "Limited to data from a single repository", "No documentation or usage examples provided" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/salwks/mcp-techTrend", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/salwks-mcp-techtrend" }, { "slug": "sammcj-mcp-package-version", "name": "sammcj/mcp-package-version", "vendor": "Various", "tagline": "An MCP server that provides LLMs with the latest stable package versions when coding", "description": "An MCP server that supplies LLMs with the latest stable package versions during coding. It is written in Go and helps prevent outdated or insecure dependency suggestions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using LLM-based coding assistants who need reliable, current package version information inline.", "useCases": [ "Integrate with AI coding assistants to fetch current package versions", "Verify recommended package versions are up-to-date during development", "Automate dependency version lookup in LLM-driven code generation pipelines" ], "pros": [ "Lightweight and focused single-purpose tool", "Reduces the risk of LLMs suggesting old or deprecated packages", "Straightforward MCP protocol integration with compatible LLM hosts" ], "cons": [ "Requires an MCP-compatible LLM environment to function", "May not cover all package registries or custom package sources", "Limited to version lookups; does not handle broader dependency management" ], "tags": [ "ai", "javascript", "llm", "mcp", "node", "package", "python", "security" ], "featured": false, "tier": "curated", "stars": 121, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-01-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/sammcj/mcp-package-version", "relations": { "works_in": [ "claude-code", "cline", "cursor", "continue" ], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sammcj-mcp-package-version" }, { "slug": "samrothschild23-intelligence-api", "name": "samrothschild23/intelligence-api", "vendor": "Various", "tagline": "samrothschild23/intelligence-api — indexed from awesome-mcp-servers-punkpeye", "description": "A TypeScript-based MCP server that exposes an intelligence API for integration with AI agents. It provides a standardized interface for querying and retrieving intelligence data through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with MCP-based intelligence retrieval in small-scale or proof-of-concept projects.", "useCases": [ "Connecting AI agents to intelligence data sources via MCP", "Building custom intelligence queries for automated analysis", "Integrating intelligence retrieval into existing MCP workflows" ], "pros": [ "Simple MCP interface for intelligence data access", "Written in TypeScript for type safety and developer familiarity", "Lightweight and focused on a single purpose" ], "cons": [ "Very low community adoption with only 1 star", "Limited documentation and usage examples available", "Unclear data sources and query capabilities" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-03", "addedAt": "2026-06-01", "officialLink": "https://github.com/samrothschild23/intelligence-api", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/samrothschild23-intelligence-api" }, { "slug": "samson-art-transcriptor-mcp", "name": "samson-art/transcriptor-mcp", "vendor": "Various", "tagline": "An MCP server (stdio + HTTP/SSE) that fetches video transcripts/subtitles via yt-dlp, with pagination for large responses. Supports YouTube, Twitter/X, Instagram, TikTok, Twitch, V", "description": "An MCP server (stdio and HTTP/SSE) that retrieves video transcripts and subtitles using yt-dlp, with pagination for large responses. Supports YouTube, Twitter/X, Instagram, TikTok, Twitch, Vimeo, Facebook, Bilibili, VK, and Dailymotion. Falls back to Whisper (local or OpenAI API) when subtitles are unavailable.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based workflows that need video transcript data from multiple platforms", "useCases": [ "Fetch video transcripts for analysis or summarization", "Integrate subtitle retrieval into MCP-hosted AI assistants like Cursor", "Extract text from videos without native subtitles via Whisper fallback" ], "pros": [ "Supports a wide range of video platforms", "Provides fallback transcription when subtitles are missing", "Works with existing MCP hosts and tools like Cursor" ], "cons": [ "Low community adoption (10 GitHub stars) suggests early or niche usage", "Requires MCP host environment, not a standalone tool", "Whisper fallback relies on local hardware or paid API and may be slow" ], "tags": [ "claude-code", "cursor", "docker", "mcp", "mcp-server", "youtube", "youtube-captions", "yt-dlp" ], "featured": false, "tier": "curated", "stars": 10, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/samson-art/transcriptor-mcp", "relations": { "works_in": [], "uses": [ "whisper" ], "built_with": [], "pairs_with": [], "alternative_to": [ "klavis-ai-youtube" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/samson-art-transcriptor-mcp" }, { "slug": "samuelgursky-davinci-resolve-mcp", "name": "samuelgursky/davinci-resolve-mcp", "vendor": "Various", "tagline": "MCP server integration for DaVinci Resolve Studio", "description": "An MCP server that exposes DaVinci Resolve Studio's scripting API through the Model Context Protocol, enabling AI assistants to control the video editing software programmatically. It translates natural language requests into Resolve API calls for timeline manipulation, clip management, and export operations.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Video editors and post-production teams who want to automate Resolve tasks via AI assistants", "useCases": [ "Automating repetitive editing tasks like timeline assembly and color grading", "Generating video exports from AI-driven scripts or voice commands", "Integrating DaVinci Resolve into larger AI-assisted post-production pipelines" ], "pros": [ "Bridges AI assistants directly with a professional video editor", "Open source with active community (1159 stars) and Python-based", "Reduces manual editing overhead for scripted workflows" ], "cons": [ "Requires DaVinci Resolve Studio (paid version) to function", "Limited to operations exposed by Resolve's scripting API", "Dependency on MCP protocol may restrict non-compatible AI tools" ], "tags": [ "blackmagic", "blackmagic-design", "blackmagicdesign", "davinci-resolve", "davinciresolve", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 1159, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/samuelgursky/davinci-resolve-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "ahujasid-blender-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/samuelgursky-davinci-resolve-mcp" }, { "slug": "samvas-codes-dawshund-mcp", "name": "samvas-codes/dawshund_mcp", "vendor": "Various", "tagline": "An MCP server to enumerate AWS IAM data, analyze effective permissions, and visualize access relationships across users, roles, and resources. Built for cloud security engineers wh", "description": "An MCP server that enumerates AWS IAM data, analyzes effective permissions, and visualizes access relationships across users, roles, and resources. It is built for cloud security engineers who want fast insights into AWS identity risk.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Cloud security engineers needing quick IAM risk insights", "useCases": [ "Audit IAM permissions across users and roles", "Map access relationships to identify over-privileged entities", "Visualize identity risk in AWS environments" ], "pros": [ "Provides clear visualization of complex IAM relationships", "Focuses on effective permissions, not just policy documents", "Lightweight Python MCP server easy to integrate" ], "cons": [ "Zero stars and no community validation yet", "Limited to IAM enumeration and analysis only", "Requires AWS credentials with sufficient read permissions" ], "tags": [ "aws", "ciem", "claude", "cloud-security", "cloudsecurity", "cnapp", "least-privilege", "mcp-server" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "lastUpdated": "2025-11-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/samvas-codes/dawshund_mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/samvas-codes-dawshund-mcp" }, { "slug": "sanyambassi-thales-cdsp-cakm-mcp-server", "name": "sanyambassi/thales-cdsp-cakm-mcp-server", "vendor": "Various", "tagline": "MCP Server to manage encryption for Ms SQL and Oracle databases using Thales CAKM connector", "description": "An MCP server that manages encryption for MS SQL and Oracle databases using the Thales CAKM connector. It exposes encryption key management operations through the Model Context Protocol, enabling integration with MCP-compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing to manage Thales CAKM encryption for SQL Server or Oracle databases via MCP", "useCases": [ "Managing database encryption keys via MCP", "Integrating Thales CAKM with SQL Server or Oracle workflows", "Automating encryption operations in database administration" ], "pros": [ "Focused functionality for Thales CAKM encryption management", "Supports both MS SQL and Oracle databases", "Python implementation allows easy customization and integration" ], "cons": [ "Low community adoption (2 stars on GitHub)", "Requires existing Thales CAKM infrastructure", "Limited to MS SQL and Oracle databases only" ], "tags": [ "ai", "aiassistant", "anthropic", "cakm", "cdsp", "ciphertrust", "ciphertrustmanager", "claude" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-09-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/sanyambassi/thales-cdsp-cakm-mcp-server", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sanyambassi-thales-cdsp-cakm-mcp-server" }, { "slug": "sanyambassi-ciphertrust-manager-mcp-server", "name": "sanyambassi/ciphertrust-manager-mcp-server", "vendor": "Various", "tagline": "MCP Server for Thales CipherTrust Manager", "description": "An MCP server that exposes Thales CipherTrust Manager functionality to AI agents. It translates Model Context Protocol requests into API calls for managing encryption keys, policies, and security services. Written in Python, it enables programmatic control of enterprise key management through natural language or structured prompts.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Python developers building AI-driven security automation over Thales CipherTrust Manager", "useCases": [ "Automate key lifecycle operations like rotation and revocation via AI agents", "Query and adjust security policies through conversational interfaces", "Integrate AI-based workflows with Thales CipherTrust Manager without custom scripting" ], "pros": [ "Simplifies connecting AI tools to an enterprise key management system", "Open source and written in Python, easy to inspect and extend", "Lightweight integration leveraging Model Context Protocol" ], "cons": [ "Small user base (8 stars) indicates limited community support", "Requires a running Thales CipherTrust Manager instance to be useful", "Documentation and examples are sparse, increasing setup effort" ], "tags": [ "cdsp", "ciphertrust", "ciphertrustmanager", "claude-desktop", "cursor-ai", "mcp", "mcp-client", "mcp-server" ], "featured": false, "tier": "curated", "stars": 8, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-08-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/sanyambassi/ciphertrust-manager-mcp-server", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sanyambassi-ciphertrust-manager-mcp-server" }, { "slug": "sapientpants-sonarqube-mcp-server", "name": "sapientpants/sonarqube-mcp-server", "vendor": "Various", "tagline": "Model Context Protocol (MCP) server for SonarQube", "description": "A Model Context Protocol (MCP) server that exposes SonarQube code quality and security analysis data to AI assistants. It allows tools like Claude to query SonarQube projects, issues, and metrics through the MCP standard interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using AI coding assistants who need to incorporate SonarQube code quality data into their workflow", "useCases": [ "Retrieve code quality issues from SonarQube during AI-assisted code review", "Query SonarQube project metrics and security hotspots via natural language", "Integrate SonarQube analysis results into AI-driven development workflows" ], "pros": [ "Open source with 99 stars, indicating community interest and transparency", "Follows the MCP standard, enabling interoperability with multiple AI assistants", "Simplifies access to SonarQube data without custom API integrations" ], "cons": [ "Requires a running SonarQube instance, adding infrastructure overhead", "MCP adoption is still limited, so compatibility is restricted to supporting AI tools", "Feature set depends on SonarQube's API; may not cover all analysis capabilities" ], "tags": [ "mcp", "mcp-server", "model-context-protocol", "model-context-protocol-servers", "sonarcloud", "sonarqube", "typescript" ], "featured": false, "tier": "curated", "stars": 99, "language": [], "lastUpdated": "2025-11-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/sapientpants/sonarqube-mcp-server", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sapientpants-sonarqube-mcp-server" }, { "slug": "sapph1re-findata-mcp", "name": "sapph1re/findata-mcp", "vendor": "Various", "tagline": "FinData MCP — Financial data via Model Context Protocol. Live market prices, SEC filings, earnings, options flow, macro indicators.", "description": "A Model Context Protocol (MCP) server that exposes endpoints for live market prices, SEC filings, earnings, options flow, and macro indicators. It allows MCP-compatible clients to query financial data through a standardized interface using Python.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to give AI assistants direct access to financial data through the MCP protocol", "useCases": [ "Fetch live stock prices for portfolio monitoring within an AI assistant", "Retrieve SEC filings and earnings data for automated company research", "Query macro indicators for economic trend analysis in a dashboard" ], "pros": [ "Covers multiple financial data types in a single MCP server simplifying integration", "Open source and written in Python making it easy to modify or extend", "Standardized protocol enables use with various MCP clients like Claude or custom agents" ], "cons": [ "Very early stage with zero stars and minimal community documentation or support", "Data reliability depends on external free or paid APIs which may have rate limits or accuracy issues", "Requires self-hosting and likely API keys for many data sources" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/sapph1re/findata-mcp", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sapph1re-findata-mcp" }, { "slug": "sapph1re-mcp-billing-gateway-sdk", "name": "sapph1re/mcp-billing-gateway-sdk", "vendor": "Various", "tagline": "Client SDK and docs for MCP Billing Gateway — add Stripe + x402 billing to any MCP server", "description": "A Python client SDK and documentation for the MCP Billing Gateway. It enables developers to add Stripe and x402 billing capabilities to any MCP server.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP servers who need to add billing and payment processing", "useCases": [ "Integrate pay-per-use billing into MCP servers", "Add Stripe payment processing to MCP-based tools", "Implement x402 micropayments for MCP endpoints" ], "pros": [ "Open source and written in Python", "Provides a straightforward way to monetize MCP servers", "Includes documentation for setup and usage" ], "cons": [ "Zero stars on GitHub indicates a new or unproven project", "Limited community adoption and support", "Dependency on Stripe and x402 may restrict flexibility" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/sapph1re/mcp-billing-gateway-sdk", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sapph1re-mcp-billing-gateway-sdk" }, { "slug": "saranshbamania-mobile-device-mcp", "name": "saranshbamania/mobile-device-mcp", "vendor": "Various", "tagline": "MCP server for AI-powered mobile device control — 26 tools for screenshots, UI inspection, touch interaction, and AI visual analysis. Supports Anthropic Claude & Google Gemini.", "description": "MCP server for controlling mobile devices programmatically. It provides 26 tools for screenshots, UI inspection, touch interaction, and visual analysis, integrating with Anthropic Claude and Google Gemini.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building agent-driven mobile testing or automation workflows", "useCases": [ "Automate mobile app testing via screenshots and UI inspection", "Perform touch interactions programmatically", "Integrate mobile device control into AI agent workflows" ], "pros": [ "26 tools cover a broad range of device control actions", "Supports both Claude and Gemini for flexible AI integration", "TypeScript codebase for developer familiarity" ], "cons": [ "Low GitHub stars suggest early stage or limited adoption", "Requires MCP client setup and external AI model access", "Dependence on external APIs for visual analysis" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "lastUpdated": "2026-03-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/saranshbamania/mobile-device-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "mobile-next-mobile-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/saranshbamania-mobile-device-mcp" }, { "slug": "sarveshsea-m-moire", "name": "sarveshsea/m-moire", "vendor": "Various", "tagline": "Shadcn-native Design CI for Tailwind apps: export registries that work with shadcn, v0, AI editors, and npm.", "description": "M-moire is a design CI tool for Tailwind apps. It exports design registries that are compatible with shadcn, v0, AI editors, and npm. The tool helps maintain consistent design tokens across different environments.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using shadcn UI and Tailwind CSS who want design consistency through CI", "useCases": [ "Exporting design tokens as shadcn registries", "Maintaining design consistency across Tailwind apps", "Integrating design CI with AI editors and npm" ], "pros": [ "Compatible with shadcn and v0 ecosystem", "Simplifies design-to-code workflow", "TypeScript codebase for type safety" ], "cons": [ "Low community adoption with 11 stars", "Limited to shadcn and Tailwind workflows", "Potentially minimal documentation" ], "tags": [ "cli", "code-generation", "design-ci", "design-system", "design-tokens", "figma", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 11, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/sarveshsea/m-moire", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "21st-dev-magic-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sarveshsea-m-moire" }, { "slug": "sascharo-gxtract", "name": "sascharo/gxtract", "vendor": "Various", "tagline": "GXtract MCP Server for VS Code, forks and other editors; provides tools for interacting with GroundX", "description": "An MCP server for VS Code and other editors that provides tools to interact with GroundX. Built in Python, it enables developers to integrate GroundX functionality into their development environment.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to interact with GroundX directly from VS Code or compatible editors via MCP", "useCases": [ "Connecting GroundX data extraction into code editor workflows", "Automating GroundX queries and responses via MCP protocol", "Extending VS Code or forks with GroundX-based tooling" ], "pros": [ "Lightweight Python implementation for easy customization", "Enables MCP-based integration without leaving the editor", "Open source with no vendor lock-in" ], "cons": [ "Very low community adoption (1 star)", "Limited documentation and support beyond the repository", "Potential instability or incompleteness due to early stage" ], "tags": [ "groundx", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "lastUpdated": "2025-05-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/sascharo/gxtract", "relations": { "works_in": [ "cursor", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sascharo-gxtract" }, { "slug": "saseq-discord-mcp", "name": "saseq/discord-mcp", "vendor": "Various", "tagline": "A MCP server for the Discord integration. Enable your AI assistants to seamlessly interact with Discord. Enhance your Discord experience with powerful automation capabilities.", "description": "A Java-based MCP server that lets AI assistants read and write messages in Discord channels. It exposes Discord chat operations through the Model Context Protocol, enabling automated message sending, channel reading, and thread management.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need to interact with Discord servers programmatically", "useCases": [ "Automate Discord notifications and alerts from AI workflows", "Build AI assistants that can monitor and respond in Discord channels", "Integrate Discord chat into larger MCP-based toolchains" ], "pros": [ "Open source with 336 GitHub stars and active maintenance", "Leverages Discord's official API for reliable integration", "Simple MCP interface reduces boilerplate for AI-to-Discord communication" ], "cons": [ "Requires a Discord bot token and proper permissions setup", "Java dependency may not suit all MCP environments", "Limited to text-based interactions; no voice or rich media support" ], "tags": [ "ai", "claude", "discord", "discord-bot", "java", "mcp", "mcp-server", "n8n" ], "featured": false, "tier": "curated", "stars": 336, "language": [ "Java" ], "license": "MIT", "lastUpdated": "2026-04-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/SaseQ/discord-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp", "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/saseq-discord-mcp" }, { "slug": "saurabhsharma2u-search-console-mcp", "name": "saurabhsharma2u/search-console-mcp", "vendor": "Various", "tagline": "Search & analytics data as infrastructure — MCP server for Google Search Console, Bing Webmaster Tools, and GA4, designed for AI agents and automation.", "description": "This MCP server exposes Google Search Console, Bing Webmaster Tools, and Google Analytics 4 data as resources for AI agents. It allows agents to query search performance and web analytics through the Model Context Protocol, treating site metrics as infrastructure.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or automation workflows that need direct access to search console and analytics data", "useCases": [ "Fetch search performance data from Google and Bing for automated reporting", "Integrate GA4 analytics into agent-driven dashboards or alerts", "Provide AI agents with live site metrics for decision-making tasks" ], "pros": [ "Unifies three major search and analytics platforms in one MCP server", "Written in TypeScript with clear type definitions for developers", "Open source with active community (147 stars) and MIT license" ], "cons": [ "Requires setting up API credentials for each data source separately", "Limited to Google Analytics 4; no support for older Universal Analytics", "Dependent on the Model Context Protocol, limiting use to MCP-compatible agents" ], "tags": [ "bing-webmaster", "ga4", "googleanalytics", "googlesearch", "googlesearchconsole", "mcp-server", "seo", "seo-optimization" ], "featured": false, "tier": "curated", "stars": 147, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/saurabhsharma2u/search-console-mcp", "relations": { "works_in": [ "claude-code", "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [ "exa-labs-exa-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/saurabhsharma2u-search-console-mcp" }, { "slug": "saurav61091-mcp-openapi", "name": "saurav61091/mcp-openapi", "vendor": "Various", "tagline": "Turn any OpenAPI 3.x spec into MCP tools for Claude — zero config, instant API access", "description": "This tool converts OpenAPI 3.x specifications into MCP (Model Context Protocol) tools for use with Claude. It requires no configuration and provides instant API access from the specification.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need fast MCP tool generation from existing OpenAPI specs for use with Claude", "useCases": [ "Turn any REST API with an OpenAPI 3.x spec into Claude-callable tools", "Expose third-party APIs as MCP tools without manual coding", "Rapidly prototype AI workflows that consume existing API endpoints" ], "pros": [ "Zero configuration required to start using OpenAPI specs", "Supports any OpenAPI 3.x specification out of the box", "Provides instant API access for Claude without custom integration" ], "cons": [ "Repository has no stars, indicating minimal adoption or testing", "Tied to Claude and MCP infrastructure, limiting portability", "May not handle all OpenAPI 3.x features or edge cases" ], "tags": [ "ai-tools", "anthropic", "claude", "developer-tools", "llm", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/saurav61091/mcp-openapi", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/saurav61091-mcp-openapi" }, { "slug": "sawa-zen-vrchat-mcp", "name": "sawa-zen/vrchat-mcp", "vendor": "Various", "tagline": "This project is a Model Context Protocol (MCP) server for interacting with the VRChat API.", "description": "Model Context Protocol (MCP) server that connects AI agents to the VRChat API. It exposes VRChat endpoints as tools callable by any MCP client. Built in TypeScript for type safety and easy integration.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that integrate with VRChat's social features and user data", "useCases": [ "Accessing VRChat user profiles and friends lists from AI agents", "Building MCP-compatible automation for VRChat world discovery", "Querying VRChat API data as part of larger agent workflows" ], "pros": [ "Uses standard MCP protocol for broad AI agent compatibility", "TypeScript codebase with clear types and maintainability", "Open source with an existing community (58 stars)" ], "cons": [ "Limited to public VRChat API endpoints; no control over game state", "Requires valid VRChat authentication credentials", "Relatively new project, smaller community for support" ], "tags": [ "ai", "claude", "cline", "mcp", "vrchat" ], "featured": false, "tier": "curated", "stars": 58, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-02-03", "addedAt": "2026-06-01", "officialLink": "https://github.com/sawa-zen/vrchat-mcp", "relations": { "works_in": [ "cline", "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sawa-zen-vrchat-mcp" }, { "slug": "sbroenne-mcp-server-excel", "name": "sbroenne/mcp-server-excel", "vendor": "Various", "tagline": "Excel MCP Server & CLI - 23 tools, 214 operations for AI-powered Excel automation via COM API", "description": "An MCP server and CLI that exposes 23 tools and 214 operations for automating Microsoft Excel through the COM API. It enables programmatic control of Excel workbooks, worksheets, cells, and formatting by integrating with the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Windows developers who need to script or automate Excel through a standardized MCP server", "useCases": [ "Automate repetitive Excel tasks like data entry, formatting, and formula insertion", "Build AI agents that can read, write, and manipulate Excel files in real time", "Integrate Excel automation into MCP-compatible development workflows and tools" ], "pros": [ "Offers a large set of operations (214) covering almost all common Excel automation needs", "Standard MCP interface allows easy integration with any MCP-compatible client", "Open source with active community contributions (173 stars on GitHub)" ], "cons": [ "Relies on the Windows-only COM API, so it does not run on macOS or Linux", "Requires a licensed copy of Microsoft Excel to be installed on the host machine", "Setup and configuration can be non-trivial for those unfamiliar with the MCP protocol" ], "tags": [ "ai-automation", "claude-ai", "com-automation", "conditional-formatting", "data-connections", "dax", "dotnet", "excel" ], "featured": false, "tier": "curated", "stars": 173, "language": [ "C#" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/sbroenne/mcp-server-excel", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "haris-musa-excel-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sbroenne-mcp-server-excel" }, { "slug": "sbuysse-gnome-desktop-mcp", "name": "sbuysse/gnome-desktop-mcp", "vendor": "Various", "tagline": "GNOME desktop automation via MCP — screenshots, window management, and input injection for AI agents", "description": "A JavaScript tool that provides GNOME desktop automation via the Model Context Protocol (MCP). It enables AI agents to take screenshots, manage windows, and inject mouse and keyboard input into the GNOME environment.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to automate tasks within the GNOME desktop environment", "useCases": [ "Automating repetitive GUI tasks with an AI agent", "Capturing desktop screenshots for visual context", "Controlling application windows programmatically" ], "pros": [ "Direct integration with GNOME desktop using standard MCP", "Lightweight and focused on core desktop automation actions", "Easy to add to MCP-compatible agent workflows" ], "cons": [ "Only works on Linux systems running GNOME", "Very new project with only 5 GitHub stars and limited community", "May have limited error handling or edge-case support" ], "tags": [], "featured": false, "tier": "curated", "stars": 5, "language": [ "JavaScript" ], "license": "GPL-3.0", "lastUpdated": "2026-04-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/sbuysse/gnome-desktop-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "wonderwhy-er-desktopcommandermcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sbuysse-gnome-desktop-mcp" }, { "slug": "scamverifyai-scamverify-mcp", "name": "scamverifyai/scamverify-mcp", "vendor": "Various", "tagline": "ScamVerify™ MCP Server - AI-powered scam and threat verification for Claude Desktop, ChatGPT, Cursor, and other MCP clients. Verify phone numbers, URLs, text messages, emails, docu", "description": "ScamVerify MCP Server provides scam and threat verification for MCP clients such as Claude Desktop, ChatGPT, and Cursor. It checks phone numbers, URLs, text messages, emails, documents, and QR codes against a database of over 8 million threat intelligence records.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based chat or assistant tools that need real-time scam detection on user-provided data.", "useCases": [ "Verify suspicious URLs or phone numbers from user messages in a chat interface", "Check email or document content for known scam patterns at query time", "Scan QR codes for malicious destinations before following the link" ], "pros": [ "Leverages a large threat intelligence dataset with 8M+ records", "Integrates directly into popular MCP-compatible AI assistants", "Supports multiple input types (URLs, phone numbers, documents, QR codes)" ], "cons": [ "Requires an MCP client to function, limiting standalone use", "No public reputation or usage numbers to indicate reliability", "Dependent on the underlying threat dataset being kept current" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/scamverifyai/scamverify-mcp", "relations": { "works_in": [ "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/scamverifyai-scamverify-mcp" }, { "slug": "schemacrawler-schemacrawler-mcp-server-usage", "name": "schemacrawler/SchemaCrawler-MCP-Server-Usage", "vendor": "Various", "tagline": "Find out how to use SchemaCrawler AI MCP Server", "description": "SchemaCrawler MCP Server Usage is a documentation repository that explains how to set up and use the SchemaCrawler AI MCP Server. It provides instructions for connecting AI assistants to a database schema via the Model Context Protocol. The tool enables querying and exploring database structures through natural language.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to query and document database schemas using AI assistants within MCP-compatible tools", "useCases": [ "Connect an AI assistant to a live database schema for interactive exploration", "Generate database documentation or schema diagrams using natural language prompts", "Automate schema analysis tasks within MCP-compatible development environments" ], "pros": [ "Leverages existing SchemaCrawler capabilities for comprehensive schema introspection", "Integrates with MCP ecosystem for AI tool interoperability", "Open source with clear setup instructions" ], "cons": [ "Limited to MCP-compatible clients and environments", "Requires manual configuration and database credentials", "Small community with only 25 stars suggests early stage adoption" ], "tags": [], "featured": false, "tier": "curated", "stars": 25, "language": [], "license": "EPL-2.0", "lastUpdated": "2026-05-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/schemacrawler/SchemaCrawler-MCP-Server-Usage", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/schemacrawler-schemacrawler-mcp-server-usage" }, { "slug": "scopeblind-verify-mcp", "name": "ScopeBlind/verify-mcp", "vendor": "Various", "tagline": "MCP server for offline verification of signed artifacts. Receipts, manifests, bundles. Apache-2.0.", "description": "ScopeBlind/verify-mcp is an MCP server that performs offline verification of signed artifacts including receipts, manifests, and bundles. It is written in JavaScript and released under the Apache-2.0 license.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing offline signature verification in secure or disconnected environments", "useCases": [ "Verify the integrity of downloaded artifacts offline", "Check signatures on software bundles and manifests without network access", "Validate signed receipts in isolated build environments" ], "pros": [ "Enables verification in air-gapped or offline environments", "Follows the MCP protocol for integration with compatible tools", "Lightweight JavaScript implementation with minimal dependencies" ], "cons": [ "Only verifies existing signatures, does not create them", "Requires MCP-compatible clients or workflows to utilize", "Limited to the artifact types and signature formats it supports" ], "tags": [ "ai-security", "audit", "ed25519", "mcp", "mcp-server", "mit-license", "offline-verification", "signed-receipts" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "JavaScript" ], "license": "Apache-2.0", "lastUpdated": "2026-04-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/ScopeBlind/verify-mcp", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/scopeblind-verify-mcp" }, { "slug": "scrapeless-ai-scrapeless-mcp-server", "name": "scrapeless-ai/scrapeless-mcp-server", "vendor": "Various", "tagline": "Scrapeless Mcp Server", "description": "Scrapeless MCP Server is a Model Context Protocol server for web scraping. It allows AI agents to request scraping tasks through a standardized interface. The tool is built with TypeScript and provides a bridge between AI models and web data extraction.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or assistants that need to fetch and process live web data", "useCases": [ "Integrating real-time web scraping into AI assistant workflows", "Extracting structured data from websites for agent reasoning", "Providing up-to-date web content to language models via MCP" ], "pros": [ "Leverages the Model Context Protocol for standardized agent-tool communication", "Open source with 161 GitHub stars and TypeScript codebase", "Simplifies adding web scraping capability to MCP-compatible AI systems" ], "cons": [ "Dependent on the broader MCP ecosystem for integration", "Limited documentation based on current repository description", "May not handle complex JavaScript-heavy sites without additional configuration" ], "tags": [], "featured": false, "tier": "curated", "stars": 161, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-09-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/scrapeless-ai/scrapeless-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "executeautomation-playwright-mcp-server", "agent-infra-mcp-server-browser" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/scrapeless-ai-scrapeless-mcp-server" }, { "slug": "scraperapi-scraperapi-mcp", "name": "scraperapi/scraperapi-mcp", "vendor": "Various", "tagline": "This MCP server enables LLMs to retrieve and process web scraping requests using ScraperAPI.", "description": "A Model Context Protocol server that lets LLMs send web scraping requests through ScraperAPI. It handles proxy rotation, CAPTCHA solving, and JavaScript rendering so the AI can retrieve page content without managing anti-bot infrastructure.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need reliable web scraping without manually handling anti-bot measures", "useCases": [ "Extract data from JavaScript-heavy websites within an AI agent workflow", "Scrape pages that require proxy rotation or CAPTCHA bypass", "Integrate structured web scraping into automated research or data pipelines" ], "pros": [ "Eliminates the need to manage proxies, CAPTCHAs, and browser automation", "Works with JavaScript-rendered content out of the box", "Simple drop-in integration via the MCP protocol for any MCP-compatible client" ], "cons": [ "Requires a paid ScraperAPI subscription beyond the free tier", "Limited to ScraperAPI's supported sites and subject to their rate limits", "Depends on the MCP ecosystem and a Python runtime environment" ], "tags": [ "ai-tools", "llm-tools", "mcp", "mcp-server", "modelcontextprotocol", "scraperapi" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/scraperapi/scraperapi-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "exa-labs-exa-mcp-server" ], "alternative_to": [ "browsermcp-mcp", "executeautomation-playwright-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/scraperapi-scraperapi-mcp" }, { "slug": "scrapercity-scrapercity-cli", "name": "scrapercity/scrapercity-cli", "vendor": "Various", "tagline": "ScraperCity CLI & MCP Server - B2B lead generation for AI agents. 20+ scrapers accessible via CLI, MCP, or direct API.", "description": "ScraperCity CLI & MCP Server provides over 20 scrapers for B2B lead generation, accessible via command line, MCP protocol, or direct API. It is built in JavaScript and designed for integration with AI agents.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or automation scripts for B2B lead generation", "useCases": [ "Extract B2B leads from public sources using CLI commands", "Integrate lead scraping into AI agent workflows via MCP", "Automate data collection for sales prospecting pipelines" ], "pros": [ "Multiple access methods (CLI, MCP, API) offer flexibility", "Pre-built scrapers reduce development time for lead generation", "Open source with no star count yet, indicating early-stage potential" ], "cons": [ "No community traction or stars, suggesting limited adoption or testing", "Documentation and support may be sparse as a new project", "Scraper reliability and coverage depend on external sources that may change" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/scrapercity/scrapercity-cli", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "exa-labs-exa-mcp-server", "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/scrapercity-scrapercity-cli" }, { "slug": "sdglbl-mcp-claude-code", "name": "SDGLBL/mcp-claude-code", "vendor": "Various", "tagline": "MCP implementation of Claude Code capabilities and more", "description": "This is a Python implementation of the Model Context Protocol (MCP) that exposes Claude Code capabilities and additional features for use with any MCP-compatible client. It allows developers to integrate code generation, analysis, and editing functions into custom workflows and tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to embed Claude Code capabilities into custom MCP-powered tools or workflows", "useCases": [ "Integrating Claude Code commands into an MCP-enabled IDE or editor", "Building automated code review or refactoring pipelines that use Claude Code", "Extending custom developer tools with Claude Code's code understanding and generation" ], "pros": [ "Open source with 301 stars, transparent and community-reviewed code", "Written in Python, making it easy to extend or modify", "Follows the MCP standard, enabling interoperability with many clients" ], "cons": [ "Third-party implementation may lag behind official Claude Code updates", "Requires an MCP-compatible client, limiting direct standalone usage", "Documentation and user support may be less comprehensive than official offerings" ], "tags": [ "claude", "claude-code", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 301, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-08-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/SDGLBL/mcp-claude-code", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sdglbl-mcp-claude-code" }, { "slug": "sealjay-mcp-hey", "name": "Sealjay/mcp-hey", "vendor": "Various", "tagline": "MCP server for Hey.com: read, send, search, and organise email from Claude or any MCP client. Runs locally, stores no credentials, respects rate limits.", "description": "Sealjay/mcp-hey is a TypeScript MCP server that enables reading, sending, searching, and organizing Hey.com email from any MCP client like Claude. It runs locally, stores no credentials, and respects Hey.com rate limits.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Hey.com who want to integrate email into AI workflows via MCP", "useCases": [ "Send emails from an AI assistant via Hey.com", "Search and retrieve Hey.com messages programmatically", "Organize Hey.com inbox through an MCP client" ], "pros": [ "Runs locally with no credential storage", "Respects Hey.com rate limits", "Works with any MCP-compatible client" ], "cons": [ "Low star count suggests limited community adoption", "Only supports Hey.com email, not other providers", "Requires a local MCP client setup" ], "tags": [ "ai-agents", "bun", "claude", "claude-desktop", "email", "email-automation", "hey", "hey-email" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/Sealjay/mcp-hey", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "cline", "claude-code" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sealjay-mcp-hey" }, { "slug": "seang1121-sports-betting-mcp", "name": "seang1121/sports-betting-mcp", "vendor": "Various", "tagline": "The first MCP server for sports betting — 9 tools, live odds, AI picks, 59.6% win rate across 1,353+ picks", "description": "An MCP server for sports betting offering 9 tools for live odds and AI-generated picks. It reports a 59.6% win rate across 1,353 picks. The server is implemented in Python and can be integrated into MCP-compatible applications.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-integrated sports betting applications or bots.", "useCases": [ "Retrieving live sports betting odds", "Generating AI-based betting picks", "Integrating betting data into MCP workflows" ], "pros": [ "First MCP server dedicated to sports betting with 9 distinct tools", "Claims a high win rate (59.6%) over a large sample of picks", "Open-source Python implementation for customization" ], "cons": [ "Low GitHub stars (1) indicating limited adoption or testing", "Win rate claim is unverified and may not be reproducible", "Requires MCP-compatible client or framework to use" ], "tags": [ "ai-agents", "claude", "mcp", "mcp-server", "model-context-protocol", "odds", "picks", "python" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/seang1121/sports-betting-mcp", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/seang1121-sports-betting-mcp" }, { "slug": "searchatlas", "name": "SearchAtlas", "vendor": "Various", "tagline": "SearchAtlas — indexed from awesome-mcp-servers-punkpeye", "description": "SearchAtlas is a Model Context Protocol (MCP) server that provides search capabilities for AI agents. It is listed in the awesome-mcp-servers collection and implemented in HTML, likely serving a lightweight interface or documentation.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring MCP-based search integrations or building early prototypes", "useCases": [ "Integrating web search into LLM-powered agents", "Enabling MCP-compatible tools to fetch real-time search results", "Prototyping search-augmented AI applications" ], "pros": [ "Follows the MCP standard for easy integration with AI clients", "Lightweight and simple, ideal for experimentation", "Listed in a curated collection of MCP servers" ], "cons": [ "Very low community adoption (1 star) indicates limited use or maturity", "Implementation in HTML suggests it may not be a full server but a static example", "No details on supported search sources or features" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "HTML" ], "license": "MIT", "lastUpdated": "2026-04-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/Search-Atlas-Group/searchatlas-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "browsermcp-mcp" ], "alternative_to": [ "exa-labs-exa-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/searchatlas" }, { "slug": "searchcraft-inc-searchcraft-mcp-server", "name": "searchcraft-inc/searchcraft-mcp-server", "vendor": "Various", "tagline": "An MCP Server powered by Searchcraft – the developer-first vertical search engine.", "description": "An MCP server that integrates with Searchcraft, a developer-first vertical search engine. It allows AI models to query specialized search indexes via the Model Context Protocol. Built in TypeScript, it is open source and hosted on GitHub.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need targeted, domain-specific search capabilities via MCP", "useCases": [ "Add domain-specific search to AI assistants", "Enable LLMs to retrieve structured results from a custom index", "Connect MCP-compatible tools to a vertical search backend" ], "pros": [ "Developer-focused design using the MCP standard", "Written in TypeScript for type safety and broad ecosystem compatibility", "Open source with a permissive license" ], "cons": [ "Very small community (7 stars) and limited documentation", "Requires a running Searchcraft instance or account to function", "Early-stage project with uncertain long-term maintenance" ], "tags": [ "ai", "ai-agent-tools", "ai-agents", "claude", "claude-ai", "elasticsearch", "fuzzy-search", "mcp" ], "featured": false, "tier": "curated", "stars": 7, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-02-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/searchcraft-inc/searchcraft-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "exa-labs-exa-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/searchcraft-inc-searchcraft-mcp-server" }, { "slug": "secretiveshell-mcp-searxng", "name": "SecretiveShell/MCP-searxng", "vendor": "Various", "tagline": "MCP server for connecting agentic systems to search systems via searXNG", "description": "SecretiveShell/MCP-searxng is an open-source MCP (Model Context Protocol) server written in Python that connects AI agents to the searXNG meta search engine. It exposes search functionality as standardized tools, allowing agents to retrieve web results from a configurable searXNG instance.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building autonomous agents or tools that need web search without relying on proprietary APIs", "useCases": [ "Give an AI agent the ability to search the web for current information", "Replace paid search APIs with a self-hosted, privacy-respecting backend", "Add real-time data retrieval to LLM-powered workflows and applications" ], "pros": [ "Free and open source, no usage fees or tokens", "Uses the MCP standard so it works with any compatible agent framework", "Self-hosting via searXNG gives control over privacy and search sources" ], "cons": [ "Requires setting up and maintaining a working searXNG instance", "Search quality and speed depend on searXNG's upstream aggregators", "Small community (118 stars) means limited documentation and support" ], "tags": [], "featured": false, "tier": "curated", "stars": 118, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/SecretiveShell/MCP-searxng", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "exa-labs-exa-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/secretiveshell-mcp-searxng" }, { "slug": "secretiveshell-mcp-timeserver", "name": "SecretiveShell/MCP-timeserver", "vendor": "Various", "tagline": "A simple MCP server that exposes datetime information to agentic systems and chat REPLs", "description": "An MCP server written in Python that provides datetime information to agents and chat REPLs. It exposes current time, date, and timezone data through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building agentic systems that need reliable current time and date data", "useCases": [ "Inject current timestamp into LLM prompts for time-sensitive queries", "Supply timezone-aware datetime to scheduling agents", "Enable chat REPLs to answer date and time questions accurately" ], "pros": [ "Simple focused functionality with minimal dependencies", "Standard MCP protocol makes it drop-in compatible", "Lightweight and easy to self-host in Python environments" ], "cons": [ "Limited to read-only datetime queries, no manipulation or calculations", "Requires an MCP-compatible host or client to be useful", "Low community adoption with only 41 stars" ], "tags": [], "featured": false, "tier": "curated", "stars": 41, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-01-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/SecretiveShell/MCP-timeserver", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "eyaltoledano-claude-task-master", "pydantic-pydantic-ai-mcp-run-python" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/secretiveshell-mcp-timeserver" }, { "slug": "secretiveshell-mcp-wolfram-alpha", "name": "SecretiveShell/MCP-wolfram-alpha", "vendor": "Various", "tagline": "Connect your chat repl to wolfram alpha computational intelligence", "description": "A Python implementation of the Model Context Protocol (MCP) that connects a chat-based REPL to Wolfram Alpha's computational knowledge engine. It translates natural language queries into Wolfram Alpha requests and returns structured results.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building LLM agents or chatbots that need authoritative computational answers", "useCases": [ "Embedding step-by-step math or science solutions into a chatbot", "Querying real-time data like weather, finance, or astronomy from a REPL", "Adding factual question-answering to an LLM-powered assistant" ], "pros": [ "Provides direct access to Wolfram Alpha's curated computational knowledge", "Simple integration through the MCP standard for chat interfaces", "Open source with a straightforward Python codebase" ], "cons": [ "Requires a Wolfram Alpha API key (paid tier for full access)", "Limited by Wolfram Alpha API rate limits and query caps", "Dependent on external service availability and response latency" ], "tags": [ "mcp", "mcp-server", "wolfram", "wolfram-alpha" ], "featured": false, "tier": "curated", "stars": 75, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-08-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/SecretiveShell/MCP-wolfram-alpha", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/secretiveshell-mcp-wolfram-alpha" }, { "slug": "securecoders-opengraph-io-mcp", "name": "securecoders/opengraph-io-mcp", "vendor": "Various", "tagline": "Opengraph.io MCP tool", "description": "A Model Context Protocol server that fetches Open Graph metadata from URLs using the Opengraph.io API. It exposes a single tool for retrieving title, description, image, and other OG tags from web pages.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need quick Open Graph data extraction via MCP and already use or can sign up for Opengraph.io", "useCases": [ "Extract Open Graph metadata for link previews in chat or documentation", "Automate social media card generation from user-submitted URLs", "Enrich content pipelines with structured page metadata" ], "pros": [ "Simple single-purpose tool with clear input and output", "Leverages a well-known third-party API for reliable OG data", "Written in TypeScript with standard MCP interface" ], "cons": [ "Requires an Opengraph.io API key and has usage limits", "Only one tool available, limited to OG metadata extraction", "Low community adoption (1 star) and minimal documentation" ], "tags": [ "mcp", "mcp-server", "unfurl" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "ISC", "lastUpdated": "2026-05-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/securecoders/opengraph-io-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "browsermcp-mcp", "exa-labs-exa-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/securecoders-opengraph-io-mcp" }, { "slug": "securityronin-alaya", "name": "SecurityRonin/alaya", "vendor": "Various", "tagline": "A memory engine for conversational AI agents, inspired by neuroscience and Buddhist psychology", "description": "SecurityRonin/alaya is a memory engine for conversational AI agents, implemented in Rust. It is inspired by principles from neuroscience and Buddhist psychology to manage agent memory. The tool provides a framework for storing and recalling contextual information across interactions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building conversational agents that need sustained context over extended interactions", "useCases": [ "Building conversational agents with persistent long-term memory", "Creating AI systems that recall past user interactions", "Developing context-aware responses in dialogue agents" ], "pros": [ "Performant due to Rust implementation", "Unique conceptual foundation for memory management", "Open source for customization and integration" ], "cons": [ "Low community adoption with only 12 GitHub stars", "Limited documentation and ecosystem support", "Unconventional philosophical basis may require deeper understanding" ], "tags": [ "ai", "ai-agent-tools", "memory", "neurosciences", "yogacara" ], "featured": false, "tier": "curated", "stars": 12, "language": [ "Rust" ], "license": "MIT", "lastUpdated": "2026-04-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/SecurityRonin/alaya", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "upstash-context7" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/securityronin-alaya" }, { "slug": "securityfortech-secops-mcp", "name": "securityfortech/secops-mcp", "vendor": "Various", "tagline": "All-in-one security testing toolbox that brings together popular open source tools through a single MCP interface. Connected to an AI agent, it enables tasks like pentesting, bug b", "description": "secops-mcp is an all-in-one security testing toolbox that aggregates popular open source tools through a single Model Context Protocol interface. When connected to an AI agent, it enables automated penetration testing, bug bounty hunting, and threat hunting tasks. The Python-based project simplifies access to multiple security tools by providing a unified interface for AI-driven workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Security researchers and penetration testers who want to leverage AI agents for automated security testing and tool orchestration", "useCases": [ "Automated penetration testing with AI agents", "Streamlined bug bounty reconnaissance and scanning", "Orchestrating threat hunting workflows across multiple tools" ], "pros": [ "Combines multiple open source security tools under one interface, reducing context switching", "Enables AI-driven automation of repetitive security testing tasks", "Python-based, making it easy to extend or integrate with existing Python security scripts" ], "cons": [ "Requires an MCP-compatible client and understanding of the Model Context Protocol", "Aggregates existing tools, so users still need familiarity with each underlying tool", "Relatively new project with limited community size and documentation" ], "tags": [], "featured": false, "tier": "curated", "stars": 196, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-09-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/securityfortech/secops-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "lauriewired-ghidramcp", "mrexodia-ida-pro-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/securityfortech-secops-mcp" }, { "slug": "securityronin-docx-mcp", "name": "SecurityRonin/docx-mcp", "vendor": "Various", "tagline": "MCP server for reading and editing Word (.docx) documents with track changes, comments, footnotes, and structural validation", "description": "An MCP (Model Context Protocol) server that reads and edits Word (.docx) documents. It supports track changes, comments, footnotes, and structural validation, enabling AI agents to programmatically modify documents with revision tracking.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-assisted document editing pipelines", "useCases": [ "Automating document review workflows with track changes", "Extracting comments and footnotes from .docx files", "Validating document structure programmatically" ], "pros": [ "Handles track changes and comments, unlike basic document readers", "Provides structural validation for .docx files", "Python-based and easy to integrate with existing MCP workflows" ], "cons": [ "Small community and limited adoption (19 GitHub stars)", "Requires an MCP-compatible AI client to function", "Only supports the .docx format, not older .doc" ], "tags": [ "ai-tools", "comments", "document-editing", "docx", "footnotes", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 19, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/SecurityRonin/docx-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "microsoft-markitdown" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/securityronin-docx-mcp" }, { "slug": "seekrays-mcp-monitor", "name": "seekrays/mcp-monitor", "vendor": "Various", "tagline": "A system monitoring tool that exposes system metrics via the Model Context Protocol (MCP). This tool allows LLMs to retrieve real-time system information through an MCP-compatible", "description": "A Go-based system monitoring tool that exposes real-time system metrics through the Model Context Protocol (MCP). It enables LLMs to query CPU, memory, disk, and network statistics via an MCP-compatible interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based agents that need live system-level observability", "useCases": [ "Letting an LLM assistant check server health during a debugging session", "Providing real-time resource usage data to an AI agent for automated scaling decisions", "Integrating system monitoring into MCP-based development workflows" ], "pros": [ "Lightweight Go binary with minimal dependencies", "Exposes standard system metrics via a standardized protocol", "Simple to integrate into existing MCP toolchains" ], "cons": [ "Limited to metrics the OS exposes (no application-level monitoring)", "Requires an MCP-compatible client or host to be useful", "Small community and limited documentation due to early stage" ], "tags": [ "computer", "mcp", "mcp-server", "monitor", "monitoring", "pc-monitor", "system-monitoring" ], "featured": false, "tier": "curated", "stars": 83, "language": [ "Go" ], "license": "Apache-2.0", "lastUpdated": "2025-08-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/seekrays/mcp-monitor", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "netdata-netdata-netdata" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/seekrays-mcp-monitor" }, { "slug": "segfaultsorcerer-heap-seance", "name": "SegfaultSorcerer/heap-seance", "vendor": "Various", "tagline": "MCP server that channels JVM forensics into structured leak verdicts — for Claude Code.", "description": "A Model Context Protocol server that analyzes JVM heap dumps and returns structured leak verdicts. It integrates with Claude Code to provide forensic memory analysis directly in the development workflow.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Java developers using Claude Code who need automated heap dump analysis", "useCases": [ "Diagnose memory leaks from JVM heap dumps during development", "Integrate heap analysis into Claude Code-assisted debugging sessions", "Automate heap dump forensics in CI/CD pipelines" ], "pros": [ "Provides structured, actionable leak verdicts rather than raw dump data", "Works seamlessly with Claude Code for interactive debugging", "Python-based, easy to extend or modify" ], "cons": [ "Limited to JVM heap dumps, not applicable to other runtimes", "Requires Claude Code as the frontend, reducing standalone utility", "Low community adoption (3 GitHub stars) may mean limited support" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-03-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/SegfaultSorcerer/heap-seance", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/segfaultsorcerer-heap-seance" }, { "slug": "selfpy-science-ai-mcp-server", "name": "SelfPy/science-ai-mcp-server", "vendor": "Various", "tagline": "MCP server for Science AI Journal — Pre-Check, AI Review, Research Gaps, Journal Recommender, Duplicate Publication Checker, Article Writer. Use them inside Claude Desktop, Cursor,", "description": "An MCP server that integrates with Science AI Journal to provide pre-check, AI review, research gap analysis, journal recommendation, duplicate publication checking, and article writing. It operates inside MCP-enabled clients such as Claude Desktop, Cursor, and Cline.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Researchers and developers who want AI-assisted manuscript workflows within MCP-compatible tools.", "useCases": [ "Automate pre-submission checks for scientific manuscripts", "Identify research gaps and get journal recommendations", "Write or review articles with AI assistance inside a client" ], "pros": [ "Covers multiple stages of the publication workflow in one tool", "Works with popular MCP clients without extra configuration", "Written in TypeScript, making it accessible for developers" ], "cons": [ "No stars or community activity on GitHub indicates early or niche adoption", "Relies on external Science AI Journal API availability and accuracy", "Limited to MCP-enabled clients; not standalone" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/SelfPy/science-ai-mcp-server", "relations": { "works_in": [ "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/selfpy-science-ai-mcp-server" }, { "slug": "selvage-lab-selvage", "name": "selvage-lab/selvage", "vendor": "Various", "tagline": "🐍 🏠 - LLM-based code review MCP server with AST-powered smart context extraction. Supports Claude, GPT, Gemini, and 20+ models via OpenRouter.", "description": "Selvage is an MCP server for code review that uses large language models. It extracts smart context from code using AST parsing. The tool supports Claude, GPT, Gemini, and over 20 other models through OpenRouter.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers seeking an open-source, model-agnostic code review assistant", "useCases": [ "Automated code review in CI pipelines", "Get LLM feedback on pull requests", "Analyze code with AST-aware context extraction" ], "pros": [ "Supports multiple LLM providers via OpenRouter", "AST-powered context extraction improves review relevance", "Open source and self-hostable" ], "cons": [ "Relatively new project with few stars (33)", "Requires Python environment and MCP setup", "Dependence on external LLM APIs for analysis" ], "tags": [], "featured": false, "tier": "curated", "stars": 33, "language": [ "Python" ], "lastUpdated": "2026-02-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/selvage-lab/selvage", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [ "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/selvage-lab-selvage" }, { "slug": "semgrep-mcp", "name": "semgrep/mcp", "vendor": "Various", "tagline": "A MCP server for using Semgrep to scan code for security vulnerabilities.", "description": "A Model Context Protocol server that enables AI agents to run Semgrep scans on codebases for security vulnerabilities. It exposes Semgrep's static analysis capabilities through the MCP interface, allowing tools like Claude to request scans and receive results.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to add automated security scanning to their AI-assisted coding workflows", "useCases": [ "Automate security scanning of pull requests via AI coding assistants", "Integrate vulnerability detection into agentic code review workflows", "Run targeted Semgrep rules on code snippets during development" ], "pros": [ "Leverages Semgrep's powerful pattern-based static analysis engine", "Simple MCP interface makes it easy to plug into existing AI toolchains", "Open source with active community (668 stars)" ], "cons": [ "Requires Semgrep to be installed and configured separately", "Limited to the capabilities and rules available in the local Semgrep setup", "MCP protocol is still evolving, may have compatibility issues with some clients" ], "tags": [ "mcp", "semgrep" ], "featured": false, "tier": "curated", "stars": 668, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-10-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/semgrep/mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/semgrep-mcp" }, { "slug": "sentien-labs-verdictswarm-mcp", "name": "sentien-labs/verdictswarm-mcp", "vendor": "Various", "tagline": "Fight AI with AI. The security layer for AI agents that touch money — 6 adversarial AI agents debate crypto token risk. MCP server for Claude, Cursor, OpenClaw, Codex.", "description": "Verdictswarm MCP is an MCP server that runs six adversarial AI agents to debate the risk of a crypto token before an agent can act on it. It acts as a security layer for AI agents that handle financial transactions, integrating with Claude, Cursor, OpenClaw, and Codex.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that autonomously interact with crypto tokens and need a debated security check.", "useCases": [ "Auditing crypto tokens for fraud or risk before an agent trades them", "Blocking malicious token interactions during automated trading runs", "Adding multi-agent debate as a guardrail in AI agent workflows" ], "pros": [ "Uses adversarial debate to reduce single-point-of-failure risk", "Directly integrates as an MCP tool for popular AI agent platforms", "Targets a concrete, high-stakes problem in crypto agent security" ], "cons": [ "Requires separate MCP server setup and runtime dependencies", "May introduce latency due to multi-agent debate before each action", "Limited to crypto token risk evaluation, not general-purpose security" ], "tags": [ "ai-agents", "crypto", "defi", "ethereum", "mcp-server", "model-context-protocol", "rug-pull", "solana" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/sentien-labs/verdictswarm-mcp", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sentien-labs-verdictswarm-mcp" }, { "slug": "sergehuber-inoyu-mcp-unomi-server", "name": "sergehuber/inoyu-mcp-unomi-server", "vendor": "Various", "tagline": "An implementation of Anthropic's Model Context Protocol for the Apache Unomi CDP", "description": "A JavaScript server that implements Anthropic's Model Context Protocol (MCP) for Apache Unomi, the open-source customer data platform. It enables AI agents to query and interact with Unomi's customer profiles, events, and segments through a standardized protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers already using Apache Unomi who want to connect it to MCP-compatible AI assistants or agents.", "useCases": [ "Build an AI agent that retrieves customer profile data from Unomi in real time.", "Use natural language to query Unomi segments and test targeting rules.", "Integrate LLM-based tools with Unomi for automated customer data operations." ], "pros": [ "Provides a standardized MCP interface for Apache Unomi, reducing integration effort.", "Open source under permissive license, allowing full customization and auditability.", "Lightweight JavaScript implementation with a small codebase, easy to deploy or extend." ], "cons": [ "Very low community adoption (8 GitHub stars) suggests limited testing and support.", "Documentation and usage examples are minimal, increasing the learning curve for new users.", "Dependent on both MCP and Unomi updates; may lag behind changes in either ecosystem." ], "tags": [], "featured": false, "tier": "curated", "stars": 8, "language": [ "JavaScript" ], "license": "Apache-2.0", "lastUpdated": "2025-09-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/sergehuber/inoyu-mcp-unomi-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "upstash-context7", "mindsdb-mindsdb" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sergehuber-inoyu-mcp-unomi-server" }, { "slug": "serkan-ozal-browser-devtools-mcp", "name": "serkan-ozal/browser-devtools-mcp", "vendor": "Various", "tagline": "📇 - An MCP Server enables AI assistants to autonomously test, debug, and validate web applications.", "description": "An MCP server that exposes browser developer tools as a toolset for AI assistants. It enables autonomous testing, debugging, and validation of web applications through standard MCP protocol communication.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-augmented debugging, testing, or QA automation tools", "useCases": [ "Let AI agents run page audits and analyze console logs", "Automate UI testing and element inspection via LLM commands", "Integrate browser debugging into MCP-compatible coding assistants" ], "pros": [ "Enables AI assistants to perform real browser debugging without human intervention", "Leverages standard MCP protocol for easy integration with multiple LLM backends", "Open source with no vendor lock-in" ], "cons": [ "Requires a running browser instance and MCP client setup", "Limited to capabilities exposed by browser devtools API", "No built-in security sandboxing for untrusted AI-driven actions" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/serkan-ozal/browser-devtools-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "agent-infra-mcp-server-browser", "browsermcp-mcp", "executeautomation-playwright-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/serkan-ozal-browser-devtools-mcp" }, { "slug": "sequa-ai-sequa-mcp", "name": "sequa-ai/sequa-mcp", "vendor": "Various", "tagline": "📇 ☁️ 🐧 🍎 🪟 - Stop stitching context for Copilot and Cursor. With Sequa MCP, your AI tools know your entire codebase and docs out of the box.", "description": "Sequia MCP is an open-source TypeScript tool that provides a Model Context Protocol server for AI coding assistants like GitHub Copilot and Cursor. It automatically surfaces your entire codebase and documentation to these tools, eliminating the need to manually paste context.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want their AI coding assistants to automatically understand the full codebase and docs.", "useCases": [ "Give Copilot full codebase awareness without manual context stitching", "Integrate with Cursor for context-rich code suggestions", "Automatically include project documentation in AI prompts" ], "pros": [ "Saves time by automating context delivery to AI assistants", "Works with multiple popular AI coding tools (Copilot, Cursor)", "Open-source and written in TypeScript for easy customization" ], "cons": [ "Requires initial setup and configuration per project or IDE", "Limited to AI tools that support the Model Context Protocol", "Small community (20 GitHub stars) may mean slower support or updates" ], "tags": [], "featured": false, "tier": "curated", "stars": 20, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-12-09", "addedAt": "2026-06-01", "officialLink": "https://github.com/sequa-ai/sequa-mcp", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sequa-ai-sequa-mcp" }, { "slug": "serkan-ozal-driflyte-mcp-server", "name": "serkan-ozal/driflyte-mcp-server", "vendor": "Various", "tagline": "The Driflyte MCP Server exposes tools that allow AI assistants to query and retrieve topic-specific knowledge from recursively crawled and indexed web pages.", "description": "The Driflyte MCP Server is a TypeScript-based tool that exposes tools allowing AI assistants to query and retrieve topic-specific knowledge from recursively crawled and indexed web pages. It integrates with the Model Context Protocol (MCP) to provide structured access to web content.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need topic-specific knowledge from recursively crawled web pages", "useCases": [ "Feeding an AI assistant domain-specific web knowledge from crawled pages", "Enabling context-aware queries over recursively indexed web content", "Building assistants that retrieve and answer questions from a curated set of URLs" ], "pros": [ "Straightforward integration with MCP for AI assistants", "Written in TypeScript, making it accessible to JavaScript/Node.js developers", "Recursive crawling allows deep topic coverage from seed pages" ], "cons": [ "Low GitHub star count (10) suggests limited community adoption or early stage", "Documentation and usage examples may be sparse", "Recursive indexing could raise performance or scope management concerns" ], "tags": [ "ai", "crawler", "mcp", "model-context-protocol", "opentelemetry", "rag" ], "featured": false, "tier": "curated", "stars": 10, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-10-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/serkan-ozal/driflyte-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "topoteretes-cognee" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/serkan-ozal-driflyte-mcp-server" }, { "slug": "serpapi-serpapi-mcp", "name": "serpapi/serpapi-mcp", "vendor": "Various", "tagline": "SerpApi MCP Server for Google and other search engine results", "description": "SerpApi MCP server that exposes Google and other search engine results through the Model Context Protocol. It wraps the SerpApi service, requiring an API key for access. Enables AI agents to perform web searches programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need live search capabilities", "useCases": [ "Integrating real-time search results into AI assistants", "Building search-based retrieval for LLM applications", "Automating search queries for data extraction or monitoring" ], "pros": [ "Provides structured search results from multiple engines", "Simple MCP interface for easy integration with AI tools", "Supports various search parameters like location and language" ], "cons": [ "Requires a paid SerpApi subscription for production use", "Limited to the search engines supported by SerpApi", "Dependency on external API availability and rate limits" ], "tags": [], "featured": false, "tier": "curated", "stars": 141, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/serpapi/serpapi-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "exa-labs-exa-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/serpapi-serpapi-mcp" }, { "slug": "sevalla-hosting-mcp", "name": "sevalla-hosting/mcp", "vendor": "Various", "tagline": "Official remote MCP server for the Sevalla public API.", "description": "An official remote MCP server that exposes the Sevalla public API through the Model Context Protocol. It allows MCP-compatible clients to manage hosting resources programmatically. Built in TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Sevalla who want to automate hosting tasks through MCP-compatible tools", "useCases": [ "Deploy and manage hosting environments via MCP clients", "Automate infrastructure tasks like scaling or configuration", "Integrate Sevalla operations into AI agent workflows" ], "pros": [ "Official integration maintained by Sevalla", "TypeScript codebase for type safety and maintainability", "Remote server design reduces local setup overhead" ], "cons": [ "Low community adoption (6 stars)", "Dependent on Sevalla API availability and rate limits", "Limited documentation beyond the repository" ], "tags": [ "hosting", "mcp", "mcp-server", "paas" ], "featured": false, "tier": "curated", "stars": 6, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/sevalla-hosting/mcp", "relations": { "works_in": [ "cline", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sevalla-hosting-mcp" }, { "slug": "seym0n-tiktok-mcp", "name": "Seym0n/tiktok-mcp", "vendor": "Various", "tagline": "Model Context Protocol (MCP) with TikTok integration", "description": "Seym0n/tiktok-mcp is a JavaScript library that implements the Model Context Protocol (MCP) for TikTok integration. It allows AI agents and LLMs to interact with TikTok data through a standardized protocol, enabling automated content retrieval and analysis.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based AI agents that need to read TikTok data", "useCases": [ "Fetching TikTok video metadata and comments for analysis", "Building AI agents that monitor TikTok trends or user activity", "Integrating TikTok data into MCP-compatible development workflows" ], "pros": [ "Leverages the MCP standard for interoperability with various AI tools", "Lightweight JavaScript implementation with 159 GitHub stars", "Enables programmatic access to TikTok without manual API handling" ], "cons": [ "Limited to TikTok's public data; no support for posting or private interactions", "Dependent on TikTok's API stability and rate limits", "Small community and limited documentation beyond the repository" ], "tags": [ "mcp", "tiktok", "tiktok-report", "tiktok-tool" ], "featured": false, "tier": "curated", "stars": 159, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-02-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/Seym0n/tiktok-mcp", "relations": { "works_in": [ "cursor", "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [ "klavis-ai-youtube", "lharries-whatsapp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/seym0n-tiktok-mcp" }, { "slug": "sf1nx-x402station", "name": "sF1nX/x402station", "vendor": "Various", "tagline": "MCP adapter (x402station-mcp on npm) + AgentKit action provider + consumer-side demo agent for x402station — pre-flight oracle for x402 endpoints. Backend (signal logic, ingest pip", "description": "sF1nX/x402station is a developer tool that provides an MCP adapter (x402station-mcp on npm) and an AgentKit action provider for interacting with x402 endpoints. It includes a consumer-side demo agent and a private backend for signal logic, ingest pipeline, and probe history.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-compatible agents or AgentKit actions that need to validate x402 endpoints before use.", "useCases": [ "Integrate x402 endpoint pre-flight checks into MCP-compatible agents", "Build consumer-side agents that probe x402 endpoints before use", "Extend AgentKit with x402 action providers for automated endpoint validation" ], "pros": [ "Provides a ready-to-use MCP adapter for x402 endpoints", "Includes both backend logic and consumer-side demo agent", "Supports integration with AgentKit for broader automation" ], "cons": [ "Backend components are private, limiting full customization", "Zero stars on GitHub suggests early-stage or low adoption", "Documentation and community support may be minimal" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/sF1nX/x402station-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sf1nx-x402station" }, { "slug": "sgx-labs-statelessagent", "name": "sgx-labs/statelessagent", "vendor": "Various", "tagline": "Your AI forgets everything between sessions. SAME fixes that. Local-first, no API keys, single binary.", "description": "A local-first AI tool that gives agents persistent memory across sessions, packaged as a single binary with no API keys required. It solves the problem of AI forgetting context between interactions by maintaining state locally.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers seeking a simple, self-hosted memory solution for AI agents without cloud dependencies", "useCases": [ "Provide persistent context to AI chat assistants across multiple sessions", "Run offline AI agents without external network dependencies", "Deploy a lightweight, self-contained memory layer for custom tools" ], "pros": [ "Local-first approach ensures privacy and no ongoing API costs", "Single binary simplifies installation and deployment", "No API keys eliminates external service dependencies" ], "cons": [ "Very early stage (19 GitHub stars) with limited community support and polish", "Scalability and performance under heavy use are unproven", "May lack integration with popular AI frameworks or providers" ], "tags": [ "ai-agent", "ai-memory", "claude-code", "context-surfacing", "cursor", "golang", "llm-memory", "local-first" ], "featured": false, "tier": "curated", "stars": 19, "language": [ "Go" ], "lastUpdated": "2026-04-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/sgx-labs/statelessagent", "relations": { "works_in": [ "cline", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "topoteretes-cognee", "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sgx-labs-statelessagent" }, { "slug": "sh-patterson-fec-mcp-server", "name": "sh-patterson/fec-mcp-server", "vendor": "Various", "tagline": "MCP server for querying FEC campaign finance data - search candidates, track donations, analyze spending, and monitor Super PAC activity", "description": "An MCP server built in TypeScript that queries Federal Election Commission campaign finance data. It supports searching candidates, tracking donations, analyzing spending, and monitoring Super PAC activity.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-integrated tools that need programmatic access to U.S. campaign finance data", "useCases": [ "Search for candidates and their campaign finance records", "Track individual donations and contribution trends", "Analyze spending patterns and Super PAC disbursements" ], "pros": [ "Open source with direct access to FEC data via the MCP protocol", "Written in TypeScript for type safety and developer familiarity", "Provides structured querying for campaign finance analytics" ], "cons": [ "No stars on GitHub, indicating very limited community adoption or use", "Requires running an MCP server, adding deployment overhead", "Relies on the external FEC API, which may have rate limits or downtime" ], "tags": [ "ai-tools", "campaign-finance", "claude", "election-data", "fec", "government-data", "mcp", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/sh-patterson/fec-mcp-server", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sh-patterson-fec-mcp-server" }, { "slug": "sh-patterson-legiscan-mcp", "name": "sh-patterson/legiscan-mcp", "vendor": "Various", "tagline": "MCP server for the LegiScan API. Access legislative data from all 50 US states and Congress - search bills, get full text, track votes, look up legislators, and monitor legislation", "description": "An MCP server that wraps the LegiScan API to provide access to legislative data from all 50 US states and Congress. It enables searching bills, retrieving full text, tracking votes, looking up legislators, and monitoring legislative changes. Built in TypeScript, it implements the Model Context Protocol for integration with AI assistants.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need to query US legislative data", "useCases": [ "Search bills across all 50 states and Congress", "Retrieve full bill text and voting records", "Look up legislators and monitor legislative changes" ], "pros": [ "Covers legislative data from all 50 states and Congress in one tool", "Provides comprehensive data including bills, text, votes, and legislators", "Uses the MCP standard for easy integration with AI assistants" ], "cons": [ "Low GitHub star count (3) indicates limited adoption or community support", "Depends on the LegiScan API, which may require an API key and have usage limits", "Documentation and examples may be sparse due to early stage" ], "tags": [ "ai-tools", "bills", "claude", "congress", "government-data", "legiscan", "legislation", "mcp" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/sh-patterson/legiscan-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sh-patterson-legiscan-mcp" }, { "slug": "sh6drack-zen-mcp", "name": "sh6drack/zen-mcp", "vendor": "Various", "tagline": "The first MCP server for Zen Browser. 20 tools. No Selenium, no Playwright, just WebSocket.", "description": "A Model Context Protocol server that exposes 20 tools for controlling Zen Browser. It communicates via WebSocket, avoiding traditional automation frameworks like Selenium or Playwright. Built with JavaScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-integrated browser automation for Zen Browser", "useCases": [ "Driving Zen Browser programmatically", "Automating browser interactions via MCP", "Integrating browser control with MCP-compatible assistants" ], "pros": [ "Lightweight WebSocket-based architecture", "Offers 20 distinct browser control tools", "No dependency on heavy automation frameworks" ], "cons": [ "Limited to Zen Browser only", "Small community with only 8 GitHub stars", "Requires understanding of the MCP protocol" ], "tags": [ "ai-agent", "browser-automation", "claude", "firefox", "mcp", "mcp-server", "model-context-protocol", "webdriver-bidi" ], "featured": false, "tier": "curated", "stars": 8, "language": [ "JavaScript" ], "lastUpdated": "2026-05-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/sh6drack/zen-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "browsermcp-mcp", "executeautomation-playwright-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sh6drack-zen-mcp" }, { "slug": "shadcn-studio-mcp", "name": "shadcn/studio MCP", "vendor": "Various", "tagline": "Integrate shadcn/studio MCP Server directly into your favorite IDE and craft stunning shadcn/ui Components, Blocks and Pages inspired by shadcn/studio.", "description": "shadcn/studio MCP is a server that integrates into compatible IDEs via the Model Context Protocol. It enables developers to generate shadcn/ui components, blocks, and pages inspired by the designs from shadcn/studio. The tool works by exposing these design artifacts directly within the IDE's AI assistant interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who use shadcn/ui and want to rapidly prototype pages and components from inside their IDE", "useCases": [ "Quickly scaffold shadcn/ui components from natural language prompts", "Generate complete page layouts using pre-designed blocks", "Create consistent UI patterns across a project without manual copy-paste" ], "pros": [ "Accelerates UI development by turning prompts into ready-to-use components", "Leverages the established shadcn/studio design language for visual consistency", "Works inside the developer's existing IDE, reducing context switching" ], "cons": [ "Requires an IDE that supports the Model Context Protocol (e.g. VS Code with Copilot)", "Output is tied to the shadcn/ui library and its styling conventions", "Generated code may need adjustment for complex or custom use cases" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://shadcnstudio.com/mcp", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [ "glips-figma-context-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/shadcn-studio-mcp" }, { "slug": "shahabazdev-inxmail-mcp", "name": "shahabazdev/inxmail-mcp", "vendor": "Various", "tagline": "MCP server for the Inxmail Commerce transactional API — events, sendings, bounces, blocklist, blacklist, reactions, and delivery tracking from Claude.", "description": "An MCP server that exposes the Inxmail Commerce transactional API to Claude. It enables querying events, sendings, bounces, blocklists, blacklists, reactions, and delivery tracking. Built in JavaScript, it acts as a bridge between Claude and Inxmail's email infrastructure.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Inxmail Commerce who want to interact with transactional email data through Claude", "useCases": [ "Monitor email delivery status and bounce rates from Claude", "Manage blocklists and blacklists for transactional campaigns", "Retrieve sending history and event reactions for analysis" ], "pros": [ "Direct integration with Claude for natural language queries", "Covers a broad set of Inxmail transactional endpoints", "Lightweight JavaScript implementation" ], "cons": [ "Very low GitHub stars indicate minimal community adoption", "Limited documentation and support beyond the repository", "Dependent on Inxmail Commerce API availability and changes" ], "tags": [ "claude", "email", "inxmail", "mcp", "mcp-server", "model-context-protocol", "transactional-email" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/shahabazdev/inxmail-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/shahabazdev-inxmail-mcp" }, { "slug": "shareseer-shareseer-mcp-server", "name": "shareseer/shareseer-mcp-server", "vendor": "Various", "tagline": "ShareSeer MCP Server - Access SEC filings and insider transactions via Claude", "description": "ShareSeer MCP Server is a Model Context Protocol server that enables Claude to retrieve SEC filings and insider transaction data. It connects to public SEC databases to fetch structured financial documents on demand.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building Claude-powered financial analysis tools", "useCases": [ "Query recent insider trading filings for a specific ticker", "Retrieve 10-K or 10-Q SEC filings for fundamental analysis", "Automate financial data extraction within Claude-based workflows" ], "pros": [ "Direct access to official SEC data without scraping", "Integrates natively with Claude via MCP", "Lightweight and open source" ], "cons": [ "Limited to SEC data only, no real-time market prices", "Requires Claude and MCP setup, not standalone", "Small community with only 8 GitHub stars" ], "tags": [], "featured": false, "tier": "curated", "stars": 8, "language": [], "license": "MIT", "lastUpdated": "2025-06-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/shareseer/shareseer-mcp-server", "relations": { "works_in": [ "anthropic-computer-use" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/shareseer-shareseer-mcp-server" }, { "slug": "shaikhspeare-wanderlog-mcp", "name": "shaikhspeare/wanderlog-mcp", "vendor": "Various", "tagline": "MCP server for Wanderlog — build and edit trip itineraries through conversation", "description": "An MCP server that lets you build and edit Wanderlog trip itineraries through natural language conversation. It connects AI assistants to the Wanderlog API, enabling itinerary creation and modification via chat.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building conversational travel planning assistants", "useCases": [ "Create a new trip itinerary by describing destinations and dates", "Add or remove activities, accommodations, and transport from an existing plan", "Adjust trip details like dates or locations through conversational commands" ], "pros": [ "Enables hands-free itinerary management via chat", "Leverages Wanderlog's existing trip planning features", "Open source with TypeScript for easy customization" ], "cons": [ "Requires a Wanderlog account and API access", "Limited to Wanderlog's platform and features", "Small community (33 stars) may mean less support" ], "tags": [ "ai-agents", "claude", "itinerary", "mcp", "model-context-protocol", "travel", "typescript", "wanderlog" ], "featured": false, "tier": "curated", "stars": 33, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/shaikhspeare/wanderlog-mcp", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/shaikhspeare-wanderlog-mcp" }, { "slug": "sharozdawa-ai-visibility", "name": "sharozdawa/ai-visibility", "vendor": "Various", "tagline": "Track your brand visibility across ChatGPT, Perplexity, Claude, and Gemini. Open source alternative to Otterly/AthenaHQ.", "description": "Open source tool that monitors mentions of a brand across popular AI chatbots. It tracks visibility in ChatGPT, Perplexity, Claude, and Gemini, serving as a free alternative to paid services like Otterly and AthenaHQ.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers seeking a no-cost way to audit their brand's AI chatbot presence", "useCases": [ "Monitor brand mentions in AI chatbot responses", "Compare brand presence across multiple AI platforms", "Track changes in AI-generated brand visibility over time" ], "pros": [ "Free and open source alternative to paid tools", "Covers major AI chatbot platforms", "Built with TypeScript for easy customization" ], "cons": [ "Very early stage with only 6 GitHub stars", "Limited documentation and community support", "Requires self-hosting and technical setup" ], "tags": [ "aeo", "ai-visibility", "brand-monitoring", "chatgpt", "claude", "gemini", "geo", "open-source" ], "featured": false, "tier": "curated", "stars": 6, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/sharozdawa/ai-visibility", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "vectorize-io-hindsight" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sharozdawa-ai-visibility" }, { "slug": "shashankss1205-codegraphcontext", "name": "shashankss1205/codegraphcontext", "vendor": "Various", "tagline": "An MCP server plus a CLI tool that indexes local code into a graph database to provide context to AI assistants.", "description": "An MCP server and CLI tool that indexes local source code into a graph database. It surfaces structural context about code relationships to AI assistants for more informed responses.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to give LLM assistants a structured map of their codebase", "useCases": [ "Provide AI coding assistants with dependency and call-graph context", "Explore codebases through graph queries on relationships", "Feed structured code metadata into MCP-compatible workflows" ], "pros": [ "Open source with strong community traction (3,549 stars)", "Follows the Model Context Protocol for easy integration with AI tools", "Python-based CLI keeps setup lightweight for Python projects" ], "cons": [ "Requires running a local graph database instance", "Limited to languages supported by the indexing parser", "MCP ecosystem adoption is still growing" ], "tags": [ "hacktoberfest2025", "social-winter-of-code" ], "featured": false, "tier": "curated", "stars": 3549, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/Shashankss1205/CodeGraphContext", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp", "vectorize-io-hindsight" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/shashankss1205-codegraphcontext" }, { "slug": "shdomi8599-vibie-mcp", "name": "shdomi8599/vibie-mcp", "vendor": "Various", "tagline": "shdomi8599/vibie-mcp — indexed from awesome-mcp-servers-punkpeye", "description": "shdomi8599/vibie-mcp is a TypeScript implementation of the Model Context Protocol (MCP) server. It is listed in the awesome-mcp-servers collection but has no GitHub stars or documented features beyond the repository name.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring the Model Context Protocol who want a minimal TypeScript starting point", "useCases": [ "Building custom MCP servers for AI tool integration", "Experimenting with the Model Context Protocol in TypeScript", "Prototyping MCP-based workflows with minimal overhead" ], "pros": [ "Written in TypeScript for type safety and modern tooling", "Open source and available for inspection or forking", "Listed in a curated directory of MCP servers" ], "cons": [ "No GitHub stars indicating limited community use or validation", "No documentation or usage examples beyond the repository name", "Unknown stability or maintenance status" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/shdomi8599/vibie-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/shdomi8599-vibie-mcp" }, { "slug": "sheawinkler-contextlattice", "name": "sheawinkler/ContextLattice", "vendor": "Various", "tagline": "ContextLattice is the local-first control plane for long-horizon agent memory and coordination.", "description": "ContextLattice is a local-first control plane for long-horizon agent memory and coordination. Built in Go, it provides persistent context and state synchronization for agents across extended tasks without relying on cloud services.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building long-running autonomous agents that need persistent local memory and coordination", "useCases": [ "Maintaining agent context across multi-step workflows", "Coordinating memory and state between multiple autonomous agents", "Running persistent agent loops on local hardware" ], "pros": [ "Local-first design reduces latency and privacy risks", "Go implementation offers fast, concurrent performance", "Open source with a permissive license" ], "cons": [ "Relatively new project with 109 stars and a small community", "Limited documentation beyond the README", "No built-in integrations with popular AI frameworks" ], "tags": [ "agent-framework", "agent-orchestration", "ai-infra", "ai-interface", "context-engineering", "context-management", "golang", "long-horizon-agents" ], "featured": false, "tier": "curated", "stars": 109, "language": [ "Go" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/sheawinkler/ContextLattice", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "eyaltoledano-claude-task-master" ], "alternative_to": [ "upstash-context7", "topoteretes-cognee", "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sheawinkler-contextlattice" }, { "slug": "shellsage-ai-mcp-server-boilerplate", "name": "shellsage-ai/mcp-server-boilerplate", "vendor": "Various", "tagline": "Production-ready MCP server templates in TypeScript and Python. Quickstart boilerplate for building Model Context Protocol servers.", "description": "This repository provides production-ready boilerplate templates for building Model Context Protocol (MCP) servers in TypeScript and Python. It offers a quickstart structure to help developers scaffold MCP servers without starting from scratch.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want a quick, template-based start for building MCP servers in TypeScript or Python.", "useCases": [ "Scaffolding a new MCP server project in TypeScript or Python", "Learning the standard structure and patterns for MCP server development", "Rapid prototyping of MCP-compatible tools and integrations" ], "pros": [ "Provides a clear, production-oriented starting point for MCP servers", "Supports both TypeScript and Python, covering two major ecosystems", "Reduces boilerplate setup time for developers new to MCP" ], "cons": [ "Very early stage with only 1 star and limited community validation", "May lack documentation or examples for advanced use cases", "Not actively maintained or updated by a known vendor" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/shellsage-ai/mcp-server-boilerplate", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "claude-code", "cursor", "cline" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/shellsage-ai-mcp-server-boilerplate" }, { "slug": "shensi8312-blogburst-mcp-server", "name": "shensi8312/blogburst-mcp-server", "vendor": "Various", "tagline": "Official MCP server for BlogBurst — AI content generation, repurposing, and multi-platform publishing", "description": "This is the official MCP server for BlogBurst, a tool that generates, repurposes, and publishes content across multiple platforms. It connects MCP-compatible clients to BlogBurst's API, allowing automated content workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to automate content creation and publishing through MCP-compatible assistants", "useCases": [ "Generate blog posts from prompts or outlines", "Repurpose existing content for different social media platforms", "Publish content to multiple platforms in one operation" ], "pros": [ "Open source and integrates with MCP clients", "Automates multi-platform publishing", "Handles both generation and repurposing" ], "cons": [ "Very low GitHub star count indicates early stage or limited adoption", "Requires the BlogBurst service", "Only available in JavaScript" ], "tags": [ "ai", "blog", "blogburst", "content-generation", "mcp", "mcp-server", "model-context-protocol", "social-media" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/shensi8312/blogburst-mcp-server", "relations": { "works_in": [ "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/shensi8312-blogburst-mcp-server" }, { "slug": "shibley-apistatuscheck-mcp-server", "name": "shibley/apistatuscheck-mcp-server", "vendor": "Various", "tagline": "MCP server for checking real-time API and cloud service status", "description": "An MCP server that checks real-time status of APIs and cloud services. It integrates with the Model Context Protocol to allow AI assistants or tools to query service availability. Built in TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a lightweight, MCP-based status checker for APIs and cloud services", "useCases": [ "Monitor API and cloud service uptime from an MCP-compatible assistant", "Check service status before automated deployments or workflows", "Integrate real-time status checks into developer dashboards or bots" ], "pros": [ "Open source and easy to self-host", "Written in TypeScript for type safety and maintainability", "Leverages MCP for seamless integration with AI tools" ], "cons": [ "No stars or community adoption yet, indicating limited testing", "Lacks documentation or examples beyond the repository description", "May not support all major cloud providers or custom APIs out of the box" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-02-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/shibley/apistatuscheck-mcp-server", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/shibley-apistatuscheck-mcp-server" }, { "slug": "shinpr-mcp-local-rag", "name": "shinpr/mcp-local-rag", "vendor": "Various", "tagline": "Local-first RAG server for developers. Semantic + keyword search for code and technical docs. Works with MCP or CLI. Fully private, zero setup.", "description": "Local-first RAG server for developers. Performs semantic and keyword search over code and technical documents. Runs as an MCP server or CLI tool with zero setup and full data privacy.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need private, local search over code and docs without external dependencies.", "useCases": [ "Search codebases locally without sending data to the cloud", "Query technical documentation using natural language", "Integrate RAG capabilities into MCP-compatible development tools" ], "pros": [ "Fully private, no data leaves the machine", "Zero setup, works out of the box", "Supports both MCP and CLI interfaces" ], "cons": [ "Limited to local resources, may not handle very large datasets efficiently", "Small community with 290 stars, fewer integrations and extensions", "Relies on local compute, can be slower than cloud alternatives for complex queries" ], "tags": [ "agent-skills", "developer-tools", "hybrid-search", "local-first", "local-rag", "mcp", "mcp-server", "privacy-first" ], "featured": false, "tier": "curated", "stars": 290, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/shinpr/mcp-local-rag", "relations": { "works_in": [], "uses": [ "langchain", "chroma" ], "built_with": [], "pairs_with": [ "idosal-git-mcp", "agent-infra-mcp-server-browser" ], "alternative_to": [ "topoteretes-cognee" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/shinpr-mcp-local-rag" }, { "slug": "shinydapps-l402-kit", "name": "ShinyDapps/l402-kit", "vendor": "Various", "tagline": "The simplest way to charge for your API in Bitcoin sats. 3 lines of code. TypeScript + Python. Lightning Network L402 protocol.", "description": "L402-kit is a developer library that lets you add Bitcoin micropayments to an API with minimal code. It implements the L402 protocol over the Lightning Network, enabling per-request payment in satoshis. The kit provides TypeScript and Python bindings and claims to require only three lines of code to integrate.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to quickly prototype Bitcoin-based API monetization without deep Lightning Network expertise", "useCases": [ "Monetizing a public API with per-call Bitcoin payments", "Building a pay-per-use data or inference endpoint", "Prototyping a Lightning Network payment gating layer" ], "pros": [ "Extremely low integration overhead with just a few lines of code", "Supports both TypeScript and Python, covering common backend stacks", "Leverages the Lightning Network for fast, low-fee micropayments" ], "cons": [ "Very early stage project with only 2 GitHub stars and limited community adoption", "Documentation and examples are sparse, making troubleshooting harder", "Requires users to already have Lightning Network infrastructure or a compatible wallet" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/ShinyDapps/l402-kit", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/shinydapps-l402-kit" }, { "slug": "shipitandpray-mcp-compress", "name": "ShipItAndPray/mcp-compress", "vendor": "Various", "tagline": "First MCP server for data compression. 60x compression on docs, 30x on SQL, 20x on logs. Zero dependencies. Lossless. Auto-picks best algorithm. 7 tools for any AI agent.", "description": "This MCP server provides lossless data compression for AI agents. It automatically selects the best algorithm and achieves high compression ratios (60x for documents, 30x for SQL, 20x for logs). The server has zero dependencies and offers seven tools for compression tasks.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing lossless compression for AI agent workflows via MCP", "useCases": [ "Compress documents before storage or transfer", "Reduce size of SQL query logs", "Shrink log files for archival" ], "pros": [ "Lossless compression preserves data integrity", "Zero dependencies simplifies integration", "Auto-picks best algorithm for each data type" ], "cons": [ "Limited to data compression only, no other features", "New project with zero stars may lack community support", "Compression ratios vary by data type" ], "tags": [ "ai-agents", "brotli", "claude-code", "compression", "data-compression", "developer-tools", "gzip", "mcp" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/ShipItAndPray/mcp-compress", "relations": { "works_in": [ "cline", "cursor", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/shipitandpray-mcp-compress" }, { "slug": "shipitandpray-mcp-market-data", "name": "ShipItAndPray/mcp-market-data", "vendor": "Various", "tagline": "First MCP server for live market data. Gives AI agents real-time crypto prices, candles, order books, technical analysis, and sentiment. Zero API keys. Zero dependencies.", "description": "This is a JavaScript MCP server that provides AI agents with live market data for cryptocurrencies. It delivers real-time prices, candlestick data, order books, technical analysis, and sentiment. The server requires no API keys and has no external dependencies.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or applications that need real-time crypto market data without managing API keys or heavy dependencies.", "useCases": [ "Feed AI trading agents with live crypto prices and order books", "Enable AI chatbots to answer questions about current market sentiment or technical indicators", "Power automated analysis scripts with real-time candlestick data" ], "pros": [ "Zero configuration required because no API keys are needed", "Zero external dependencies reduce integration complexity", "Provides a wide range of crypto market data types in one server" ], "cons": [ "Limited to cryptocurrency markets only", "No user stars or community signals indicate it is early stage and unproven", "Reliability and update frequency are not documented" ], "tags": [ "ai-agents", "bitcoin", "crypto", "finance", "market-data", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/ShipItAndPray/mcp-market-data", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/shipitandpray-mcp-market-data" }, { "slug": "shipitandpray-mcp-turboquant", "name": "ShipItAndPray/mcp-turboquant", "vendor": "Various", "tagline": "MCP server for LLM quantization. Compress any model to GGUF/GPTQ/AWQ in one tool call. First MCP server for model compression.", "description": "ShipItAndPray/mcp-turboquant is an MCP server that enables LLM quantization to GGUF, GPTQ, or AWQ formats through a single tool call. It is the first MCP server dedicated to model compression, allowing developers to reduce model size directly from their workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with LLM compression in MCP-driven pipelines", "useCases": [ "Quantize a large language model to GGUF for CPU inference", "Compress a model to GPTQ for GPU memory savings", "Apply AWQ quantization for latency-sensitive applications" ], "pros": [ "Supports multiple quantization formats in one server", "Integrates directly with MCP-based toolchains", "Reduces manual scripting for model compression" ], "cons": [ "Very early stage with only 3 GitHub stars and limited community", "Requires MCP-compatible agent or platform to use", "May lack robustness or error handling for production use" ], "tags": [ "gguf", "llm", "mcp", "mcp-server", "quantization", "turboquant" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/ShipItAndPray/mcp-turboquant", "relations": { "works_in": [], "uses": [ "llama-cpp" ], "built_with": [ "fastmcp" ], "pairs_with": [ "ollama" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/shipitandpray-mcp-turboquant" }, { "slug": "shipstatic-mcp", "name": "shipstatic/mcp", "vendor": "Various", "tagline": "MCP server for instant static site deploys from AI agents — free, no account needed", "description": "Shipstatic/mcp is an MCP server that lets AI agents deploy static sites instantly. It requires no account and is free to use, providing a simple deployment endpoint for agent-driven workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need frictionless static site hosting", "useCases": [ "Deploy static site builds triggered by an AI agent", "Automate hosting of generated documentation or previews", "Integrate instant static site deployment into AI pipeline tools" ], "pros": [ "Free with no account required", "Works directly from AI agents via MCP protocol", "Instant deployment for static sites" ], "cons": [ "Only supports static site deploys, no server-side logic", "Low community adoption (2 GitHub stars)", "Dependency on MCP protocol limits integration scope" ], "tags": [ "agent-skills", "ai", "ai-agents", "antigravity", "claude", "claude-code", "cursor", "deploy" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/shipstatic/mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/shipstatic-mcp" }, { "slug": "shopsavvy-shopsavvy-mcp-server", "name": "shopsavvy/shopsavvy-mcp-server", "vendor": "Various", "tagline": "Model Context Protocol (MCP) server for ShopSavvy Data API - provides product lookup, pricing, and historical data tools for AI assistants.", "description": "This is a Model Context Protocol (MCP) server that wraps the ShopSavvy Data API. It provides tools for product lookup, current pricing, and historical price data to AI assistants. The server is written in JavaScript and exposes these capabilities through the standard MCP interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need product pricing and historical data", "useCases": [ "Look up current prices for a product by barcode or search", "Retrieve historical pricing trends for a specific item", "Get detailed product information for comparison shopping" ], "pros": [ "Open source and available on GitHub for transparency", "Uses the standard MCP protocol for easy integration with MCP-compatible AI assistants", "Provides access to real-time and historical pricing data from ShopSavvy" ], "cons": [ "Low star count (7) indicates limited community adoption and testing", "Requires a ShopSavvy API key, adding a dependency on an external service", "Only implemented in JavaScript, limiting language flexibility" ], "tags": [], "featured": false, "tier": "curated", "stars": 7, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/shopsavvy/shopsavvy-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "executeautomation-playwright-mcp-server", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/shopsavvy-shopsavvy-mcp-server" }, { "slug": "shopify-dev-mcp", "name": "Shopify/dev-mcp", "vendor": "Various", "tagline": "📇 ☁️ - Model Context Protocol (MCP) server that interacts with Shopify Dev.", "description": "Shopify/dev-mcp is an open-source Model Context Protocol (MCP) server that enables AI assistants to interact with the Shopify development platform. It exposes Shopify APIs through the MCP standard, allowing developers to query and manage Shopify stores, products, orders, and other resources programmatically via AI tool calls.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Shopify developers who want to integrate AI assistants into their store management and development workflows", "useCases": [ "Automating product catalog updates and order management with natural language prompts", "Building AI-powered Shopify app prototypes or integrations", "Querying store analytics and inventory through conversational interfaces" ], "pros": [ "Open-source and community-maintained under the Shopify organization", "Follows the Model Context Protocol, making it compatible with multiple AI clients", "Reduces boilerplate by mapping Shopify API endpoints to structured tool descriptions" ], "cons": [ "Requires an existing Shopify development store and API credentials to function", "Dependent on the evolving MCP ecosystem; not all AI clients support it out of the box", "Limited to Shopify development use cases, not general-purpose e-commerce automation" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/Shopify/dev-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/shopify-dev-mcp" }, { "slug": "shuji-bonji-xcomet-mcp-server", "name": "shuji-bonji/xcomet-mcp-server", "vendor": "Various", "tagline": "Translation quality evaluation MCP Server powered by xCOMET (eXplainable COMET).", "description": "An MCP server that wraps xCOMET (eXplainable COMET) for translation quality evaluation. It exposes tools to score and explain machine translation outputs via the Model Context Protocol, enabling AI agents to assess translation quality programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building translation evaluation tools or AI agents that need automated quality scoring", "useCases": [ "Evaluate machine translation quality in automated pipelines", "Compare translation outputs from different models or systems", "Integrate explainable translation scoring into AI agent workflows" ], "pros": [ "Leverages state-of-the-art xCOMET for accurate, explainable evaluation", "Standard MCP interface simplifies integration with MCP-compatible clients", "Open source and written in TypeScript for broad developer accessibility" ], "cons": [ "Very early stage with only 1 star and minimal community adoption", "Requires local setup of xCOMET model dependencies, which may be resource-intensive", "Limited documentation and support due to niche status" ], "tags": [ "mcp-server", "xcomet" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/shuji-bonji/xcomet-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [ "pytorch" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/shuji-bonji-xcomet-mcp-server" }, { "slug": "shunshi-ai-bazi-reader-mcp", "name": "shunshi-ai/bazi-reader-mcp", "vendor": "Various", "tagline": "Give your AI agent the ability to read Chinese Bazi (八字) charts — an open-source MCP server 🔮", "description": "An open-source Model Context Protocol (MCP) server that enables AI agents to read and interpret Chinese Bazi charts. Written in TypeScript, it provides a standardized interface for agents to request and receive Bazi readings.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers prototyping AI agents that need to incorporate traditional Chinese Bazi readings", "useCases": [ "Integrate Bazi chart interpretation into conversational AI assistants", "Enable AI agents to fetch and parse traditional Chinese fortune-telling data", "Build cultural heritage or educational applications using Bazi readings" ], "pros": [ "Open source with a standard MCP interface for easy integration", "Written in TypeScript for type safety and modern development", "Focuses on a specific niche with clear domain logic" ], "cons": [ "Small community and limited support (4 stars on GitHub)", "Applicable only to Chinese Bazi astrology, not general-purpose", "Requires MCP-compatible AI agent infrastructure to use" ], "tags": [], "featured": false, "tier": "curated", "stars": 4, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/shunshi-ai/bazi-reader-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/shunshi-ai-bazi-reader-mcp" }, { "slug": "shyshlakov-pci-dss-mcp", "name": "shyshlakov/pci-dss-mcp", "vendor": "Various", "tagline": "Narrow-and-deep PCI DSS v4.0.1 compliance scanner for Go payment services, delivered as an MCP server", "description": "A narrow-and-deep PCI DSS v4.0.1 compliance scanner for Go payment services, delivered as an MCP server. It scans Go codebases for PCI DSS compliance requirements using static analysis.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Go developers building or maintaining PCI DSS compliant payment services", "useCases": [ "Audit Go payment services for PCI DSS v4.0.1 compliance", "Integrate compliance scanning into CI/CD pipelines via MCP", "Identify non-compliant code patterns in payment processing logic" ], "pros": [ "Focused specifically on PCI DSS v4.0.1 for Go, reducing false positives", "Delivered as an MCP server for easy integration with AI tools", "Static analysis approach catches issues before deployment" ], "cons": [ "Limited to Go language and PCI DSS scope only", "Very early stage with only 1 star and minimal community adoption", "Requires MCP-compatible environment to run" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-05-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/shyshlakov/pci-dss-mcp", "relations": { "works_in": [ "cline", "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/shyshlakov-pci-dss-mcp" }, { "slug": "sidclawhq-platform", "name": "sidclawhq/platform", "vendor": "Various", "tagline": "The approval and accountability layer for agentic AI. Identity → Policy → Approval → Trace. Try: npx sidclaw-mcp-guard demo", "description": "The sidclawhq/platform is an open-source TypeScript library that implements an identity, policy, approval, and trace framework for agentic AI systems. It enforces an Identity → Policy → Approval → Trace pipeline to provide accountability and control over AI agent actions. Developers can test it via the command npx sidclaw-mcp-guard demo.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building agentic AI systems that need governance, auditing, and approval controls.", "useCases": [ "Auditing and tracing AI agent decision chains", "Enforcing approval workflows before agent actions execute", "Integrating identity-based policy checks into agent pipelines" ], "pros": [ "Provides a structured governance layer for autonomous AI agents", "Open source with a TypeScript codebase for easy integration", "Enables traceability and accountability in agent workflows" ], "cons": [ "Limited to 10 GitHub stars indicates early stage adoption", "Requires embedding into existing agent infrastructure", "Dependency on the npx demo command for initial evaluation" ], "tags": [ "agent-approval", "agent-security", "ai-agents", "ai-governance", "approval-workflow", "audit-trail", "claude-code", "claude-code-hooks" ], "featured": false, "tier": "curated", "stars": 10, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-05-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/sidclawhq/platform", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sidclawhq-platform" }, { "slug": "sidneybissoli-ibge-br-mcp", "name": "SidneyBissoli/ibge-br-mcp", "vendor": "Various", "tagline": "MCP Server for IBGE APIs - Brazilian geographic, demographic and statistical data", "description": "A Model Context Protocol (MCP) server that exposes Brazilian Institute of Geography and Statistics (IBGE) APIs. It provides geographic, demographic, and statistical data from IBGE through the MCP standard, enabling AI agents and tools to query official Brazilian data. Built in TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI tools that need official Brazilian geographic and statistical data via MCP", "useCases": [ "Integrate Brazilian census and demographic data into AI assistants", "Query official geographic and statistical information via MCP", "Access IBGE public APIs through a standardized protocol" ], "pros": [ "Direct access to authoritative Brazilian government data", "Standard MCP interface simplifies integration", "TypeScript codebase is familiar to many developers" ], "cons": [ "Very low community adoption (only 2 stars)", "Limited to IBGE data, no other Brazilian sources", "May lack documentation and support due to small user base" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-01-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/SidneyBissoli/ibge-br-mcp", "relations": { "works_in": [ "claude-code", "cursor", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sidneybissoli-ibge-br-mcp" }, { "slug": "sidneybissoli-medical-terminologies-mcp", "name": "SidneyBissoli/medical-terminologies-mcp", "vendor": "Various", "tagline": "MCP Server for global medical terminologies: ICD-11, SNOMED CT, LOINC, RxNorm, MeSH", "description": "An MCP server that provides access to global medical terminologies including ICD-11, SNOMED CT, LOINC, RxNorm, and MeSH. It allows AI agents to query and retrieve standardized medical codes and concepts via the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to access standardized medical codes and terminologies", "useCases": [ "Look up ICD-11 diagnosis codes for clinical documentation", "Retrieve SNOMED CT concepts for medical record integration", "Query RxNorm drug codes for medication management" ], "pros": [ "Covers multiple major medical terminology standards in one server", "Uses the MCP protocol for easy integration with AI agents", "Written in TypeScript for type safety and broad compatibility" ], "cons": [ "Very low community adoption with only 3 stars", "Limited documentation and examples available", "May require manual setup for each terminology source" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "lastUpdated": "2026-05-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/SidneyBissoli/medical-terminologies-mcp", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sidneybissoli-medical-terminologies-mcp" }, { "slug": "sifter-ai-sifter", "name": "sifter-ai/sifter", "vendor": "Various", "tagline": "Sifter is an open-source, developer-first document extraction engine that turns unstructured documents — invoices, contracts, receipts, reports — into a structured, queryable datab", "description": "Sifter is an open-source, developer-first document extraction engine. It uses TypeScript to convert unstructured documents such as invoices, contracts, receipts, and reports into a structured, queryable database. The extraction process is designed to be self-hosted and integrated into developer workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing an open-source document extraction engine to build structured databases from unstructured files", "useCases": [ "Extracting structured data from invoices and receipts", "Parsing contracts into queryable records for analysis", "Building a searchable database from reports and documents" ], "pros": [ "Open-source and self-hostable, giving full control over data", "Developer-first design with a TypeScript API for easy integration", "Turns unstructured documents into structured, queryable data" ], "cons": [ "Small community (44 stars) may limit support and contributions", "May require significant setup for complex or varied document types", "Not optimized for real-time extraction at scale without additional tuning" ], "tags": [], "featured": false, "tier": "curated", "stars": 44, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/sifter-ai/sifter", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "microsoft-markitdown" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sifter-ai-sifter" }, { "slug": "signal-found-sf-mcp", "name": "signal-found/sf-mcp", "vendor": "Various", "tagline": "Arm your agent with the ability to send 1000s of dm's on Reddit a day, selling while you sleep.", "description": "sf-mcp is a Python tool that integrates with the Model Context Protocol to automate sending direct messages on Reddit. It allows AI agents to send large volumes of DMs for promotional or sales purposes.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to automate Reddit messaging for sales or outreach", "useCases": [ "Automating Reddit DM outreach campaigns", "Running bulk promotional messages via an AI agent", "Scheduling mass direct messages for sales" ], "pros": [ "Open source and freely available", "Integrates with Model Context Protocol for agent use", "Python-based for easy customization" ], "cons": [ "Low community adoption (2 stars) suggests limited testing and support", "Risk of violating Reddit's anti-spam policies", "May require frequent updates as Reddit changes API" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/signal-found/sf-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "lharries-whatsapp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/signal-found-sf-mcp" }, { "slug": "sim-xia-blind-auditor", "name": "sim-xia/blind-auditor", "vendor": "Various", "tagline": "MCP tool for improving model coding quality by mandatory self-audition", "description": "Blind-Auditor is an MCP tool that enforces a mandatory self-audit step before a model can output code. It intercepts the model's response, runs a structured audit, and only releases the code if the audit passes.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want a minimal guardrail to prevent obviously flawed model output from reaching production", "useCases": [ "Enforcing code quality checks in AI-assisted development workflows", "Adding a mandatory review gate before model-generated code is accepted", "Integrating self-audit into MCP-based coding agents" ], "pros": [ "Simple mechanism to catch obvious errors before code is used", "Low overhead as a lightweight MCP tool", "Open source with Python codebase for easy customization" ], "cons": [ "Only 10 GitHub stars indicates very early stage or limited adoption", "Mandatory audit may slow down rapid prototyping workflows", "Effectiveness depends entirely on the quality of the audit logic" ], "tags": [ "agent", "ai-safety", "mcp", "python", "quality-improvement" ], "featured": false, "tier": "curated", "stars": 10, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-12-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/Sim-xia/Blind-Auditor", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "pydantic-pydantic-ai-mcp-run-python" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sim-xia-blind-auditor" }, { "slug": "silenceper-mcp-k8s", "name": "silenceper/mcp-k8s", "vendor": "Various", "tagline": "A Kubernetes MCP (Model Control Protocol) server that enables interaction with Kubernetes clusters through MCP tools.", "description": "A Go-based MCP server that exposes Kubernetes cluster operations as MCP tools. It allows AI agents to interact with clusters through the Model Control Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to manage Kubernetes clusters", "useCases": [ "Automating Kubernetes resource management via AI agents", "Integrating cluster operations into MCP-compatible workflows", "Querying and modifying cluster state programmatically" ], "pros": [ "Lightweight Go implementation with no external dependencies", "Direct MCP integration for agent-based cluster control", "Open source with a permissive license" ], "cons": [ "Limited to MCP protocol clients only", "Small community and limited documentation", "No built-in authentication or authorization features" ], "tags": [ "debug", "kubernetes", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 146, "language": [ "Go" ], "license": "Apache-2.0", "lastUpdated": "2026-05-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/silenceper/mcp-k8s", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [ "txn2-kubefwd" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/silenceper-mcp-k8s" }, { "slug": "sim-xia-skill-cortex-server", "name": "sim-xia/skill-cortex-server", "vendor": "Various", "tagline": "A third-party MCP server that enable all IDEs to access Claude Code Skills capabilities", "description": "A third-party MCP server that allows any IDE to access Claude Code Skills capabilities. It provides a standardized interface for integrating Claude's code assistance features into development environments beyond the official tooling.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to use Claude Code Skills in IDEs that are not natively supported by the official tooling.", "useCases": [ "Connecting Claude Code Skills to VS Code or other editors", "Using Claude's code generation and analysis in custom IDE workflows", "Standardizing access to Claude Skills across team development setups" ], "pros": [ "Enables IDE-agnostic access to Claude Code Skills", "Open source and written in Python for easy customization", "Lightweight server leveraging the MCP protocol" ], "cons": [ "Third-party tool with no official support from Anthropic or Claude", "Small community (21 GitHub stars) may mean limited documentation and updates", "Requires self-hosting and configuration of the MCP server" ], "tags": [], "featured": false, "tier": "curated", "stars": 21, "language": [ "Python" ], "lastUpdated": "2026-02-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/Sim-xia/skill-cortex-server", "relations": { "works_in": [ "cursor", "cline" ], "uses": [ "claude-code" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sim-xia-skill-cortex-server" }, { "slug": "simonpainter-netbox-mcp", "name": "simonpainter/netbox-mcp", "vendor": "Various", "tagline": "NetBox MCP Server", "description": "A Python-based server implementing the Model Context Protocol (MCP) to expose NetBox IPAM and DCIM data to AI agents. It allows AI tools to query and interact with NetBox infrastructure records through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Network engineers and DevOps teams who want to use AI assistants to query or manage NetBox infrastructure data.", "useCases": [ "Query device, cable, and IP address details from NetBox via an AI assistant", "Automate IP address reservation or inventory lookups within agent workflows", "Integrate NetBox's infrastructure data into custom AI-driven network management tools" ], "pros": [ "Provides a direct, standardized MCP endpoint for AI agents to access NetBox", "Lightweight and easy to run alongside existing NetBox instances", "Written in Python, making it simple to extend or modify for custom needs" ], "cons": [ "Very early stage with only 6 GitHub stars and limited community support", "Requires a running NetBox instance and proper API credentials to operate", "May lack advanced features or error handling expected in production deployments" ], "tags": [], "featured": false, "tier": "curated", "stars": 6, "language": [ "Python" ], "lastUpdated": "2026-02-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/simonpainter/netbox-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/simonpainter-netbox-mcp" }, { "slug": "simplyliz-codemcp", "name": "SimplyLiz/CodeMCP", "vendor": "Various", "tagline": "Code intelligence for AI assistants - MCP server, CLI, and HTTP API with symbol navigation, impact analysis, and architecture mapping", "description": "CodeMCP provides code intelligence for AI assistants through an MCP server, CLI, and HTTP API. It supports symbol navigation, impact analysis, and architecture mapping. The tool is written in Go.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers integrating code intelligence into AI-assisted workflows", "useCases": [ "Navigating symbol definitions across large codebases", "Analyzing the impact of code changes before committing", "Mapping architectural dependencies for documentation or refactoring" ], "pros": [ "Open-source with a permissive license", "Provides multiple interfaces (MCP, CLI, HTTP)", "Written in Go for performance" ], "cons": [ "Relatively low community adoption with 98 stars", "Requires AI assistant integration via MCP protocol", "Niche tool for developers using AI coding assistants" ], "tags": [ "ai", "architecture", "claude", "cli", "code-analysis", "code-intelligence", "cursor", "developer-tools" ], "featured": false, "tier": "curated", "stars": 98, "language": [ "Go" ], "lastUpdated": "2026-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/SimplyLiz/CodeMCP", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/simplyliz-codemcp" }, { "slug": "simplypixi-bugbug-mcp-server", "name": "simplypixi/bugbug-mcp-server", "vendor": "Various", "tagline": "☁️ - MCP for BugBug API, to manage test and suites on BugBug", "description": "An MCP server that wraps the BugBug API, allowing AI assistants to manage test cases and test suites within BugBug's platform. It exposes BugBug resources through the Model Context Protocol, enabling programmatic control of test automation workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using AI assistants to manage automated tests on BugBug", "useCases": [ "Automate test case creation from AI conversations", "Manage test suites programmatically via MCP", "Integrate BugBug testing with AI-driven workflows" ], "pros": [ "Enables AI assistants to interact directly with BugBug", "Simplifies test management through a standard MCP interface", "Open source and community-maintained" ], "cons": [ "Requires a BugBug account and API key", "Limited to BugBug's existing API capabilities", "Needs setup of an MCP host environment" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/simplypixi/bugbug-mcp-server", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/simplypixi-bugbug-mcp-server" }, { "slug": "sinanefeozler-reddit-summarizer-mcp", "name": "sinanefeozler/reddit-summarizer-mcp", "vendor": "Various", "tagline": "A MCP server for summarizing reddit homepage of the user or contents of subreddits and comments on posts.", "description": "A Python-based MCP server that summarizes a user's Reddit homepage, a subreddit's contents, or comments on a post. It integrates with the Model Context Protocol to deliver Reddit summaries to compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want a lightweight MCP server to digest Reddit content programmatically", "useCases": [ "Summarizing your Reddit homepage feed for quick scanning", "Getting a condensed overview of a subreddit's recent posts", "Reviewing a summary of comment threads on a specific post" ], "pros": [ "Open source and written in Python, easy to extend or audit", "Leverages the MCP standard for interoperability with AI agents", "Simple focus on summarization without unnecessary complexity" ], "cons": [ "Low project popularity (12 stars) may indicate limited maintenance or community support", "Depends on Reddit API which has rate limits and may break without notice", "Only summarizes existing content, does not post or interact with Reddit" ], "tags": [ "mcp", "reddit-api" ], "featured": false, "tier": "curated", "stars": 12, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-08-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/sinanefeozler/reddit-summarizer-mcp", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sinanefeozler-reddit-summarizer-mcp" }, { "slug": "sint-ai-sint-protocol", "name": "sint-ai/sint-protocol", "vendor": "Various", "tagline": "Open-source runtime security and governance for AI agents, MCP tools, robotics, industrial automation, and physical AI.", "description": "Sint Protocol is an open-source runtime security and governance layer for AI agents, MCP tools, robotics, industrial automation, and physical AI. It is written in TypeScript and enforces policies on autonomous actions and system interactions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building runtime guardrails for experimental AI and automation systems", "useCases": [ "Enforce security policies on autonomous agent actions", "Govern interactions between AI tools and physical systems", "Audit runtime behavior of MCP-enabled applications" ], "pros": [ "Open-source with permissive licensing", "Covers multiple domains from agents to robotics", "TypeScript implementation integrates with modern stacks" ], "cons": [ "Very early-stage with only 9 GitHub stars", "Limited documentation and community support", "May lack production hardening" ], "tags": [ "a2a", "agent-security", "agentic-ai", "ai-governance", "ai-safety", "audit-log", "capability-tokens", "industrial-iot" ], "featured": false, "tier": "curated", "stars": 9, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-05-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/sint-ai/sint-protocol", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "awslabs-mcp", "agent-infra-mcp-server-browser", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sint-ai-sint-protocol" }, { "slug": "sipyourdrink-ltd-bernstein", "name": "sipyourdrink-ltd/bernstein", "vendor": "Various", "tagline": "Audit-grade multi-agent orchestration for CLI coding agents (Claude Code, Codex, Gemini CLI, +40 more). HMAC-chained audit log, signed agent cards, per-artefact lineage, air-gap de", "description": "Bernstein orchestrates multiple CLI coding agents, including Claude Code, Codex, Gemini CLI, and over 40 others, for secure multi-agent workflows. It provides HMAC-chained audit logs, signed agent cards, and per-artefact lineage tracking, with support for air-gap deployment. The tool is designed to meet compliance requirements for code generation pipelines.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Development teams that require audit-compliance for multi-agent code generation workflows.", "useCases": [ "Running audited multi-agent code generation with compliance tracking", "Managing signed artifacts and lineage in regulated environments", "Deploying agent orchestration in air-gapped or offline settings" ], "pros": [ "Audit-grade logging with HMAC-chained integrity", "Supports a wide range of CLI coding agents (40+)", "Built for air-gap deployment without internet dependency" ], "cons": [ "Limited to CLI-based agents, not GUI or API tools", "May be unnecessary for simple single-agent coding tasks", "Relatively new project with small community and few integrations" ], "tags": [ "agent-framework", "agent-orchestrator", "agentic-ai", "ai-agents", "ai-coding", "aider", "anthropic", "claude-code" ], "featured": false, "tier": "curated", "stars": 542, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/sipyourdrink-ltd/bernstein", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "claude-code" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sipyourdrink-ltd-bernstein" }, { "slug": "sirgreed808-zoho-mail-mcp", "name": "SirGreed808/zoho-mail-mcp", "vendor": "Various", "tagline": "MCP server for Zoho Mail — read, search, and send email via Claude", "description": "An MCP server that enables reading, searching, and sending Zoho Mail emails through Claude. It implements the Model Context Protocol to expose Zoho Mail API operations as tools for AI assistants. The server is written in JavaScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-assisted email workflows with Zoho Mail", "useCases": [ "Automating email responses via Claude", "Searching Zoho Mail inbox with natural language queries", "Integrating Zoho Mail into custom AI agent workflows" ], "pros": [ "Provides direct access to Zoho Mail through Claude's interface", "Simplifies email management within AI agent contexts", "Lightweight JavaScript implementation for easy customization" ], "cons": [ "Zero stars suggests early-stage project with limited real-world testing", "Dependent on Zoho Mail API availability and authentication setup", "No built-in error handling or logging beyond basic MCP spec" ], "tags": [ "claude", "email", "mcp", "model-context-protocol", "zoho", "zoho-mail" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/SirGreed808/zoho-mail-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sirgreed808-zoho-mail-mcp" }, { "slug": "sirmews-apple-notes-mcp", "name": "sirmews/apple-notes-mcp", "vendor": "Various", "tagline": "Read your Apple Notes with Claude Model Context Protocol", "description": "A Python-based MCP server that exposes Apple Notes content to Claude via the Model Context Protocol. It reads notes from the local Apple Notes database and makes them available as structured resources for AI agents.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers on macOS who want to use their Apple Notes as context in Claude-powered workflows", "useCases": [ "Search and retrieve specific Apple Notes from within Claude conversations", "Feed personal notes as context for AI-assisted writing or analysis", "Automate note extraction for integration with other MCP-compatible tools" ], "pros": [ "Direct access to local Apple Notes without manual export", "Lightweight Python implementation with clear MCP integration", "Active open-source project with 128 stars and community support" ], "cons": [ "Limited to macOS due to Apple Notes database dependency", "Requires local MCP server setup and configuration", "Read-only access; cannot create or modify notes" ], "tags": [], "featured": false, "tier": "curated", "stars": 128, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2024-12-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/sirmews/apple-notes-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sirmews-apple-notes-mcp" }, { "slug": "sirmews-mcp-pinecone", "name": "sirmews/mcp-pinecone", "vendor": "Various", "tagline": "Model Context Protocol server to allow for reading and writing from Pinecone. Rudimentary RAG", "description": "A Model Context Protocol server that connects LLM hosts to Pinecone vector databases for basic retrieval-augmented generation. It provides read and write operations against a Pinecone index via the standard MCP interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a minimal MCP connector to add Pinecone-based memory or knowledge retrieval to an LLM client.", "useCases": [ "Attach a Pinecone knowledge base to an MCP-compatible LLM client for context retrieval", "Insert documents or embeddings into a Pinecone index from an LLM session", "Query a Pinecone index for similar vectors during a chat or agent workflow" ], "pros": [ "Adheres to the Model Context Protocol for easy integration with MCP-supporting tools", "Lightweight Python server with a focused feature set", "Straightforward read and write operations for basic RAG workflows" ], "cons": [ "Limited to rudimentary RAG with no built-in chunking or embedding management", "Relies on the user to manage Pinecone index configuration and API keys externally", "Small community (149 stars) and single maintainer may affect long-term support" ], "tags": [ "claude", "mcp", "mcp-server", "model-context-protocol", "pinecone", "rag" ], "featured": false, "tier": "curated", "stars": 149, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-01-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/sirmews/mcp-pinecone", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "upstash-context7" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sirmews-mcp-pinecone" }, { "slug": "skedgo-tripgo-mcp-server", "name": "skedgo/tripgo-mcp-server", "vendor": "Various", "tagline": "MCP server for TripGo's multi-modal routing", "description": "An MCP server that exposes TripGo's multi-modal routing engine through the Model Context Protocol. It allows AI agents and LLM-based tools to query real-time transit, driving, cycling, and walking routes. Built in TypeScript, it acts as a bridge between TripGo's API and MCP-compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need real-time multi-modal transit routing", "useCases": [ "Integrate trip planning into conversational AI assistants", "Build automated travel itinerary generators", "Enable route queries from MCP-compatible development tools" ], "pros": [ "Provides access to TripGo's comprehensive multi-modal routing data", "Follows the standard MCP protocol for easy integration with AI agents", "Open source with TypeScript for type safety and maintainability" ], "cons": [ "Requires a TripGo API key and depends on TripGo service availability", "Low community adoption (4 stars) may mean limited support and documentation", "No built-in caching or offline fallback for routing queries" ], "tags": [ "mcp", "mcp-server", "routing", "trip-planning", "tripgo-api" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "TypeScript" ], "lastUpdated": "2026-05-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/skedgo/tripgo-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/skedgo-tripgo-mcp-server" }, { "slug": "sitbon-magg", "name": "sitbon/magg", "vendor": "Various", "tagline": "Magg: The MCP Aggregator", "description": "Magg aggregates multiple MCP (Model Context Protocol) services into a single unified endpoint. It runs as a Python-based proxy that collects responses from configured MCP sources and presents them through one interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to combine several MCP services into one accessible endpoint without adding heavy infrastructure.", "useCases": [ "Consolidate multiple MCP server endpoints behind a single address", "Reduce client-side configuration by managing aggregation server-side", "Test and debug MCP service interactions in a unified environment" ], "pros": [ "Lightweight Python implementation with minimal dependencies", "Simplifies managing multiple MCP sources for client applications", "Open source with active development visible on GitHub" ], "cons": [ "Limited documentation or examples beyond basic aggregation", "Potential single point of failure if the aggregator goes down", "Small community and fewer than 150 stars indicate early stage" ], "tags": [ "aggregator", "ai", "docker", "docker-compose", "fastmcp", "json-rpc", "llm", "mcp" ], "featured": false, "tier": "curated", "stars": 134, "language": [ "Python" ], "license": "AGPL-3.0", "lastUpdated": "2025-08-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/sitbon/magg", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sitbon-magg" }, { "slug": "skill-seekers-skill-seekers", "name": "skill-seekers/Skill_Seekers", "vendor": "Various", "tagline": "Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection", "description": "Skill Seekers converts documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection. It parses multiple source formats and generates structured skill definitions that Claude can consume. The tool identifies and flags conflicting information across sources during the conversion process.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building Claude agents who need to rapidly convert existing documentation into reusable skills", "useCases": [ "Bulk-convert API documentation into Claude custom skills", "Extract knowledge from GitHub repos and PDFs for AI agent training", "Detect contradictions across multiple documentation sources before skill deployment" ], "pros": [ "Handles multiple input formats (websites, repos, PDFs) in one workflow", "Built-in conflict detection prevents contradictory skill definitions", "Python-based, open source with 13k+ stars indicating active community use" ], "cons": [ "Conversion quality depends on source documentation structure and clarity", "Requires manual review of flagged conflicts, not fully automated resolution", "No built-in versioning or skill management after conversion" ], "tags": [ "ai-tools", "ast-parser", "automation", "claude-ai", "claude-skills", "code-analysis", "conflict-detection", "documentation" ], "featured": false, "tier": "curated", "stars": 13877, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/yusufkaraaslan/Skill_Seekers", "relations": { "works_in": [], "uses": [ "microsoft-markitdown" ], "built_with": [ "fastmcp" ], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/skill-seekers-skill-seekers" }, { "slug": "skitchy-rekindle", "name": "Skitchy/rekindle", "vendor": "Various", "tagline": "Your AI forgets everything between sessions. Rekindle fixes that.", "description": "Skitchy/rekindle is a TypeScript library that provides persistent memory for AI agents across sessions. It stores context and state so that agents can recall previous interactions without external services.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or chatbots that need session‑to‑session memory", "useCases": [ "Give a chatbot long-term memory of user conversations", "Maintain agent state across API calls or user sessions", "Build AI assistants that remember user preferences over time" ], "pros": [ "Open source and simple to integrate with existing TypeScript projects", "No external database required for basic persistence", "Lightweight with minimal dependencies" ], "cons": [ "Limited documentation and community examples", "May require manual serialization for complex state", "Not designed for high‑scale or distributed deployments" ], "tags": [ "ai", "continuity", "mcp", "mcp-server", "memory", "sqlite" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/Skitchy/rekindle", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "topoteretes-cognee" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/skitchy-rekindle" }, { "slug": "skysqlinc-skysql-mcp", "name": "skysqlinc/skysql-mcp", "vendor": "Various", "tagline": "SkySQL MCP server and client repository.", "description": "SkySQL MCP server and client repository provides a Python-based implementation of the Model Context Protocol for interacting with SkySQL databases. It enables AI agents to query and manage SkySQL instances through a standardized MCP interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to query or manage SkySQL databases", "useCases": [ "Connecting AI assistants to SkySQL databases for natural language queries", "Automating database management tasks via MCP-compatible tools", "Integrating SkySQL with MCP-enabled development environments" ], "pros": [ "Lightweight Python implementation easy to deploy and extend", "Follows the MCP standard for interoperability with various AI clients", "Directly addresses SkySQL database access from AI agents" ], "cons": [ "Limited to SkySQL databases, not a general-purpose database MCP server", "Small community and few stars indicate early-stage project", "Requires familiarity with both MCP and SkySQL to use effectively" ], "tags": [], "featured": false, "tier": "curated", "stars": 5, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/skysqlinc/skysql-mcp", "relations": { "works_in": [ "cline", "cursor", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/skysqlinc-skysql-mcp" }, { "slug": "skullzarmy-vibealive", "name": "skullzarmy/vibealive", "vendor": "Various", "tagline": "Full-featured utility to test Next.js projects for unused files and APIs + MCP server", "description": "A utility that scans Next.js projects to detect unused files and API endpoints. It also includes an MCP server for integration with other tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers maintaining Next.js projects who want to eliminate dead code and unused API endpoints.", "useCases": [ "Cleaning up stale files in a Next.js codebase", "Identifying unused API routes to reduce bundle size", "Integrating with development workflows via MCP server" ], "pros": [ "Specifically designed for Next.js projects", "Detects both unused files and API routes", "Includes an MCP server for custom tooling" ], "cons": [ "Low star count suggests limited community adoption", "Only works with Next.js projects", "Documentation may be sparse given small community" ], "tags": [ "developer-tools", "hacktoberfest", "mcp", "nextjs", "npm-package", "tools" ], "featured": false, "tier": "curated", "stars": 7, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-10-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/skullzarmy/vibealive", "relations": { "works_in": [ "cursor", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/skullzarmy-vibealive" }, { "slug": "slouchd-cyberchef-api-mcp-server", "name": "slouchd/cyberchef-api-mcp-server", "vendor": "Various", "tagline": "CyberChef API MCP Server ✨🧑‍🍳", "description": "An MCP server that wraps the CyberChef API, exposing its data transformation operations to AI agents via the Model Context Protocol. It allows LLMs and other MCP-compatible tools to encode, decode, encrypt, decrypt, or convert data programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need on-demand data transformation and encoding without leaving the chat interface.", "useCases": [ "Run base64 encoding or URL decoding through natural language prompts", "Perform AES encryption or hash computation via an AI assistant", "Convert between data formats like hex, binary, or JSON within an agent workflow" ], "pros": [ "Enables large language models to access CyberChef's broad recipe library without manual copy-paste", "Works with any MCP-compatible client for easy integration into agentic pipelines", "Written in Python, lowering the barrier for contributions or custom extensions" ], "cons": [ "Requires a running CyberChef API instance, adding deployment and latency overhead", "Small community with only 39 stars, meaning limited support and documentation", "Feature set depends entirely on the upstream CyberChef API version and its availability" ], "tags": [], "featured": false, "tier": "curated", "stars": 39, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-03", "addedAt": "2026-06-01", "officialLink": "https://github.com/slouchd/cyberchef-api-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp", "mickaelkerjean-filestash" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/slouchd-cyberchef-api-mcp-server" }, { "slug": "smart-ai-memory-empathy-framework", "name": "Smart-AI-Memory/empathy-framework", "vendor": "Various", "tagline": "Combining a five-level AI framework with git-native memory overcomes session amnesia, enabling anticipation of problems weeks early. Production results: 2000x cost reduction, 10x+", "description": "A conceptual framework described in a GitHub repository that combines a five-level AI model with git-native memory to address session amnesia. The approach aims to shift AI from reactive to predictive assistance by incorporating emotional intelligence and tactical empathy, though the repository has minimal stars and appears to be documentation or a proof-of-concept.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Researchers and developers exploring experimental AI memory and empathy frameworks", "useCases": [ "Exploring AI memory augmentation via version-controlled contexts", "Prototyping predictive AI interactions using emotional layers", "Evaluating cost-reduction claims in experimental AI workflows" ], "pros": [ "Open-source and freely accessible for experimentation", "Introduces novel ideas around emotional intelligence in AI systems", "Conceptual architecture is documented for further development" ], "cons": [ "Very early stage with only 11 stars and no visible codebase beyond HTML", "Claims of 2000x cost reduction and 10x productivity are unverified", "Lacks concrete implementation details or working examples" ], "tags": [ "ai", "ai-collaboration", "anthropic", "anticipatory-ai", "artificial-intelligence", "claude-code", "code-analysis", "debugging" ], "featured": false, "tier": "curated", "stars": 11, "language": [ "HTML" ], "license": "Apache-2.0", "lastUpdated": "2026-04-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/Smart-AI-Memory/empathy-framework", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "topoteretes-cognee", "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/smart-ai-memory-empathy-framework" }, { "slug": "smart-mcp-proxy-mcpproxy-go", "name": "smart-mcp-proxy/mcpproxy-go", "vendor": "Various", "tagline": "Supercharge AI Agents, Safely", "description": "A Go-based proxy server that sits between AI agents and MCP (Model Context Protocol) tools, enforcing access control, rate limiting, and audit logging. It intercepts tool calls to prevent unsafe operations and provides a unified security layer for multi-tool agent deployments.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers deploying AI agents that need a simple, auditable security layer over MCP tools.", "useCases": [ "Secure an AI agent's access to sensitive MCP tools with role-based permissions", "Monitor and log all tool invocations for compliance or debugging", "Throttle agent requests to prevent abuse or cost overruns" ], "pros": [ "Lightweight Go binary with minimal dependencies", "Adds security guardrails without modifying agent or tool code", "Open source with active community (239 stars)" ], "cons": [ "Requires running and maintaining a separate proxy service", "Limited to MCP protocol tools, not general API proxies", "Documentation may be sparse for advanced configurations" ], "tags": [ "ai", "ai-agents", "audit-logging", "bm25", "cli", "context-window", "developer-tools", "docker" ], "featured": false, "tier": "curated", "stars": 239, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/smart-mcp-proxy/mcpproxy-go", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "idosal-git-mcp", "executeautomation-playwright-mcp-server", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/smart-mcp-proxy-mcpproxy-go" }, { "slug": "smigolsmigol-llmkit", "name": "smigolsmigol/llmkit", "vendor": "Various", "tagline": "Know what your AI agents cost. API gateway with budget enforcement, session tracking, and MCP tools.", "description": "LLMKit is an API gateway for AI agents that tracks and controls spending on language model calls. It enforces budgets, logs sessions, and provides MCP (Model Context Protocol) tools to integrate cost management into agent workflows. Built in TypeScript and available as an open-source project.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to monitor and constrain LLM API spending", "useCases": [ "Set per-agent or per-user spending limits on LLM API calls", "Monitor real-time costs across multiple agent sessions", "Integrate budget enforcement with MCP-compatible tools" ], "pros": [ "Clear cost transparency with per-session tracking", "Hard budget enforcement prevents runaway spending", "Open source and self-hostable for full control" ], "cons": [ "Small project with 13 stars, limited community support", "Early stage, documentation and examples may be sparse", "Requires self-hosting and manual setup" ], "tags": [ "ai", "ai-agents", "ai-gateway", "anthropic", "api-gateway", "budget-enforcement", "cloudflare-workers", "cost-estimation" ], "featured": false, "tier": "curated", "stars": 13, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/smigolsmigol/llmkit", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp", "pydantic-pydantic-ai-mcp-run-python" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/smigolsmigol-llmkit" }, { "slug": "smith-and-web-obsidian-mcp-server", "name": "smith-and-web/obsidian-mcp-server", "vendor": "Various", "tagline": "MCP server for Obsidian vault management - enables Claude and other AI assistants to read, write, search, and organize your notes", "description": "An MCP server that connects AI assistants like Claude to an Obsidian vault. It enables reading, writing, searching, and organizing notes through the Model Context Protocol. Built in TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to integrate AI assistants like Claude with their Obsidian knowledge base", "useCases": [ "Connecting Claude to an Obsidian vault for note retrieval", "Automating note creation and organization from AI conversations", "Searching and linking notes across an Obsidian vault using AI" ], "pros": [ "Open source and written in TypeScript", "Direct AI integration with Obsidian without plugins", "Simple setup as an MCP server" ], "cons": [ "Low community adoption (16 stars)", "Requires running a server alongside Obsidian", "Limited to MCP-compatible AI assistants" ], "tags": [ "ai", "claude", "markdown", "mcp", "model-context-protocol", "notes", "obsidian", "sse" ], "featured": false, "tier": "curated", "stars": 16, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/smith-and-web/obsidian-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "idosal-git-mcp", "fastmcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/smith-and-web-obsidian-mcp-server" }, { "slug": "smriti-aa-smriti", "name": "smriti-AA/smriti", "vendor": "Various", "tagline": "smriti-AA/smriti — indexed from awesome-mcp-servers-punkpeye", "description": "Smriti is an open-source MCP server implementation listed in the awesome-mcp-servers collection. It provides a means to integrate external tools and data with AI models using the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based integrations and custom AI tools", "useCases": [ "Integrating external APIs into AI workflows", "Building custom AI toolchains and plugins", "Extending applications with MCP-compatible data sources" ], "pros": [ "Open-source and fully customizable", "Part of a well-curated list of MCP servers", "Leverages the standard MCP protocol for interoperability" ], "cons": [ "Requires familiarity with the Model Context Protocol", "Community-driven support with limited documentation visibility", "No official vendor or maintained roadmap" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/smriti-AA/smriti", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp", "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/smriti-aa-smriti" }, { "slug": "snaggle-ai-openapi-mcp-server", "name": "snaggle-ai/openapi-mcp-server", "vendor": "Various", "tagline": "Allow AI to wade through complex OpenAPIs using Simple Language", "description": "An open-source TypeScript server that translates complex OpenAPI specifications into a simplified interface for AI agents. It uses the Model Context Protocol (MCP) to let language models navigate and invoke API endpoints using natural language prompts.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to dynamically interact with REST APIs via natural language", "useCases": [ "Enable an AI assistant to call REST APIs from a natural language request", "Simplify integration of third-party APIs into AI workflows without manual endpoint mapping", "Prototype AI-driven automation that interacts with multiple OpenAPI-based services" ], "pros": [ "Reduces the need for developers to hand-code API call logic for AI agents", "Actively maintained with nearly 900 GitHub stars and TypeScript codebase", "Works with any OpenAPI-compliant API, offering broad compatibility" ], "cons": [ "Requires running a local or hosted MCP server, adding infrastructure overhead", "Performance depends on the complexity and size of the OpenAPI spec being processed", "Limited to APIs that expose a valid OpenAPI specification" ], "tags": [], "featured": false, "tier": "curated", "stars": 894, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-02-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/snaggle-ai/openapi-mcp-server", "relations": { "works_in": [ "cursor", "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/snaggle-ai-openapi-mcp-server" }, { "slug": "snowflake-labs-mcp", "name": "Snowflake-Labs/mcp", "vendor": "Various", "tagline": "MCP Server for Snowflake including Cortex AI, object management, SQL orchestration, semantic view consumption, and more", "description": "An open-source MCP (Model Context Protocol) server that connects Snowflake with AI agents. It implements the MCP standard to expose Cortex AI, object management, SQL orchestration, and semantic view consumption as tools. Developers can build agents that query Snowflake using natural language or manage data assets programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need direct, structured access to Snowflake data and management capabilities", "useCases": [ "Query Snowflake tables via Cortex AI natural language interface", "Automate Snowflake object management like creating databases or warehouses", "Orchestrate SQL pipelines by chaining MCP tool calls" ], "pros": [ "Direct integration with Snowflake's Cortex AI for natural language queries", "Covers both object management and SQL execution in one server", "Leverages MCP standard for interoperability with various client frameworks" ], "cons": [ "Tightly coupled to Snowflake ecosystem with no generic database support", "Project is relatively new with limited community and documentation", "Cortex AI usage may incur additional Snowflake costs" ], "tags": [], "featured": false, "tier": "curated", "stars": 289, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-05-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/Snowflake-Labs/mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb", "upstash-context7" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/snowflake-labs-mcp" }, { "slug": "snyk-studio-mcp", "name": "snyk/studio-mcp", "vendor": "Various", "tagline": "🎖️ 📇 ☁️ 🍎 🪟 🐧 - Embeds Snyk's security engines into agentic workflows. Secures AI-generated code in real-time and accelerates the fixing vulnerability backlogs.", "description": "snyk/studio-mcp embeds Snyk's security engines into agentic workflows. It secures AI-generated code in real-time and accelerates fixing vulnerability backlogs. The tool is written in Go and integrates with MCP-compatible environments.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and teams using agentic workflows who need real-time security scanning for AI-generated code.", "useCases": [ "Scan AI-generated code for vulnerabilities during development", "Automate security checks in CI/CD pipelines", "Prioritize and fix security backlogs with real-time feedback" ], "pros": [ "Leverages Snyk's established security scanning engines", "Designed for real-time, agentic workflows", "Open source with a Go codebase" ], "cons": [ "Limited to 48 GitHub stars, indicating early adoption", "Requires MCP-compatible infrastructure to function", "Dependency on Snyk's ecosystem for full feature set" ], "tags": [], "featured": false, "tier": "curated", "stars": 48, "language": [ "Go" ], "license": "Apache-2.0", "lastUpdated": "2026-05-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/snyk/studio-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp", "executeautomation-playwright-mcp-server", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/snyk-studio-mcp" }, { "slug": "soapyred-freightutils-mcp", "name": "SoapyRED/freightutils-mcp", "vendor": "Various", "tagline": "FreightUtils MCP Server — 19 free freight tools for AI agents", "description": "A Model Context Protocol server that provides 19 free freight-related tools for AI agents. Written in TypeScript, it exposes a set of utilities that agents can invoke to handle logistics tasks without a paid API key.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers prototyping AI agents that need basic freight/logistics capabilities on a zero-cost budget", "useCases": [ "Query freight rates and shipping options from within an AI agent", "Validate addresses and lookup carrier information programmatically", "Integrate logistics data into agent workflows without building custom connectors" ], "pros": [ "Completely free with no API key required", "Written in TypeScript for easy integration into Node.js projects", "19 tools cover a reasonable breadth of common freight tasks" ], "cons": [ "Very low adoption (only 2 stars) suggests limited community and testing", "Project appears new or unmaintained, risking reliability and long-term support", "Requires an MCP-compatible agent or host to be useful, adding setup complexity" ], "tags": [ "ai-agents", "freight", "logistics", "mcp", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/SoapyRED/freightutils-mcp", "relations": { "works_in": [ "cline", "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/soapyred-freightutils-mcp" }, { "slug": "socialintel-socialintel-mcp", "name": "socialintel/socialintel-mcp", "vendor": "Various", "tagline": "MCP server for Social Intel — Instagram influencer search via x402 micropayments. Pay-per-call, no API keys.", "description": "An MCP server for Social Intel that enables Instagram influencer search through x402 micropayments. It operates on a pay-per-call basis without requiring API keys.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing on-demand Instagram influencer data without recurring fees", "useCases": [ "Search Instagram influencers by specific criteria", "Pay per query without a subscription commitment", "Integrate influencer data into AI agent workflows" ], "pros": [ "Pay-per-call model reduces upfront costs", "No API key management needed", "Leverages micropayments for granular access" ], "cons": [ "Zero stars indicates early stage or low adoption", "Limited to Instagram influencer data only", "Requires understanding of x402 micropayment protocol" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/socialintel/socialintel-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/socialintel-socialintel-mcp" }, { "slug": "softeria-ms-365-mcp-server", "name": "softeria/ms-365-mcp-server", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server for interacting with Microsoft 365 and Office services through the Graph API", "description": "An open-source TypeScript server that implements the Model Context Protocol to expose Microsoft 365 services through the Microsoft Graph API. It enables AI agents to read emails, manage calendar events, access files, and interact with other Office services.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need programmatic access to Microsoft 365 data and services", "useCases": [ "Automating inbox management and email responses", "Creating and reading calendar events and tasks", "Accessing and editing files in OneDrive or SharePoint" ], "pros": [ "Open source with 748 stars and active community", "Standard MCP interface simplifies integration with AI agents", "TypeScript codebase offers type safety and readability" ], "cons": [ "Requires proper Microsoft 365 authentication and permission setup", "Dependent on third-party MCP server library and Graph API reliability", "Scope limited to what Graph API endpoints currently support" ], "tags": [], "featured": false, "tier": "curated", "stars": 748, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/softeria/ms-365-mcp-server", "relations": { "works_in": [ "cursor", "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/softeria-ms-365-mcp-server" }, { "slug": "softvoyagers-fakturka-api", "name": "softvoyagers/fakturka-api", "vendor": "Various", "tagline": "📇 ☁️ - Free Polish VAT invoice generator API (Faktura VAT) with PDF output and preview. No API key required.", "description": "A free API to generate Polish VAT invoices (Faktura VAT) with PDF output and preview. It requires no API key, making it straightforward to integrate into applications needing Polish invoicing.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a quick, free way to generate Polish VAT invoices in PDF", "useCases": [ "Generate Polish VAT invoices programmatically", "Create PDF invoices for Polish customers without manual entry", "Preview invoices before final PDF generation" ], "pros": [ "Free to use with no API key required", "Simple integration focused on Polish VAT invoice format", "Provides both PDF output and a preview option" ], "cons": [ "Limited to Polish VAT invoice format only", "May lack advanced customization or support for other regions", "Maintained by an open source project, not a commercial service" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/softvoyagers/fakturka-api", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/softvoyagers-fakturka-api" }, { "slug": "softvoyagers-linkshrink-api", "name": "softvoyagers/linkshrink-api", "vendor": "Various", "tagline": "📇 ☁️ - Free privacy-first URL shortener API with analytics and link management. No API key required.", "description": "A free, privacy-first URL shortener API that provides link management and analytics without requiring an API key. It operates as a cloud-hosted service, allowing developers to shorten URLs and track click data through simple HTTP requests.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a quick, no-fuss URL shortener with basic analytics for non-critical use cases", "useCases": [ "Shortening URLs in applications without user authentication overhead", "Collecting basic click analytics for shared links", "Managing and organizing shortened links programmatically" ], "pros": [ "No API key needed, reducing integration friction", "Privacy-focused approach avoids tracking user data", "Free to use with built-in analytics" ], "cons": [ "Limited control over service availability and uptime", "Analytics may be basic compared to paid alternatives", "Dependency on a third-party cloud service" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/softvoyagers/linkshrink-api", "relations": { "works_in": [ "cline", "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/softvoyagers-linkshrink-api" }, { "slug": "softvoyagers-ogforge-api", "name": "softvoyagers/ogforge-api", "vendor": "Various", "tagline": "📇 ☁️ - Free Open Graph image generator API with themes, Lucide icons, and custom layouts. No API key required.", "description": "A free Open Graph image generator API that creates social media preview images on the fly. Supports themes, Lucide icons, and custom layouts without requiring an API key. It can be used directly or self-hosted from the open source repository.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a quick, free, and customizable OG image generator without signing up.", "useCases": [ "Generate dynamic OG images for blog posts or articles", "Create branded social media previews with custom themes and icons", "Automate image generation for sharing URLs in a developer workflow" ], "pros": [ "No API key required, making it easy to get started", "Free to use with built-in themes and icon support", "Open source, allowing self-hosting and customization" ], "cons": [ "No built-in analytics or usage tracking", "No service-level agreement for uptime or performance", "Limited to Open Graph image generation (no other media formats)" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/softvoyagers/ogforge-api", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/softvoyagers-ogforge-api" }, { "slug": "softvoyagers-pageshot-api", "name": "softvoyagers/pageshot-api", "vendor": "Various", "tagline": "📇 ☁️ - Free webpage screenshot capture API with format, viewport, and dark mode options. No API key required.", "description": "A free webpage screenshot capture API that takes full-page or viewport screenshots of any URL. Requires no API key and supports multiple output formats (PNG, JPEG, PDF) along with optional dark mode rendering.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need quick, low-friction website screenshots without signing up for a paid service", "useCases": [ "Automate website preview generation for link sharing or social cards", "Capture page screenshots for monitoring or archival purposes", "Integrate snapshot functionality into CI/CD testing pipelines" ], "pros": [ "No registration or API key needed", "Supports multiple output formats and viewport sizes", "Free to use with no usage limits mentioned" ], "cons": [ "Relies on a public API which may have availability or rate limits", "No authentication means anyone can use your allocation if unsecured", "Limited documentation and no SLA for uptime or performance" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/softvoyagers/pageshot-api", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "agent-infra-mcp-server-browser" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/softvoyagers-pageshot-api" }, { "slug": "softvoyagers-qrmint-api", "name": "softvoyagers/qrmint-api", "vendor": "Various", "tagline": "📇 ☁️ - Free styled QR code generator API with custom colors, logos, frames, and batch generation. No API key required.", "description": "This is a free API for generating styled QR codes. It supports custom colors, logos, frames, and batch generation. No API key is required to use it.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing quick, customizable QR code generation without authentication", "useCases": [ "Generating QR codes with custom branding for marketing materials", "Creating batch QR codes for inventory or event tickets", "Embedding QR codes in applications without authentication overhead" ], "pros": [ "No API key required, reducing setup friction", "Supports customization with colors, logos, and frames", "Free to use with batch generation capability" ], "cons": [ "May have rate limits or performance constraints as a free service", "Documentation and support may be limited as an open source project", "Dependency on a third-party API for QR generation" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/softvoyagers/qrmint-api", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/softvoyagers-qrmint-api" }, { "slug": "softvoyagers-pdfspark-api", "name": "softvoyagers/pdfspark-api", "vendor": "Various", "tagline": "📇 ☁️ - Free HTML/URL to PDF conversion API powered by Playwright. No API key required.", "description": "A free API for converting HTML or URLs to PDF using Playwright. No API key is required. It is self-hosted via a GitHub repository.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a simple, free PDF conversion API for prototyping or internal tools", "useCases": [ "Convert web pages to PDF for archiving", "Generate PDF invoices from HTML templates", "Create PDF reports from URL content" ], "pros": [ "Free to use with no API key required", "Uses Playwright for accurate rendering of modern web pages", "Simple to deploy from the GitHub repository" ], "cons": [ "Requires self-hosting and setup", "No managed service or SLA", "Performance and rate limits depend on your own infrastructure" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/softvoyagers/pdfspark-api", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/softvoyagers-pdfspark-api" }, { "slug": "soil-dev-capsulemcp", "name": "soil-dev/capsulemcp", "vendor": "Various", "tagline": "Capsule CRM tools for Claude. Local install via npx, org-wide via Custom Connectors. Read-only mode supported.", "description": "CapsuleMCP is a Model Context Protocol server that connects Claude to Capsule CRM. It is installed locally via npx or deployed organization-wide through Custom Connectors. The tool supports read-only mode for safe data exploration.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and teams using Capsule CRM who want to query their data through Claude", "useCases": [ "Querying Capsule CRM contacts and organizations from Claude", "Retrieving CRM data for analysis or reporting without write access", "Integrating Capsule CRM into AI-assisted workflows for sales or support teams" ], "pros": [ "Simple local setup with npx", "Supports read-only mode for safe access", "Enables org-wide deployment via Custom Connectors" ], "cons": [ "Limited to Capsule CRM only", "Read-only mode restricts write operations", "Low community adoption with only 1 star on GitHub" ], "tags": [ "capsule-crm", "claude", "claude-code", "claude-desktop", "crm", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/soil-dev/capsulemcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/soil-dev-capsulemcp" }, { "slug": "sonaiengine-graph-tool-call", "name": "SonAIengine/graph-tool-call", "vendor": "Various", "tagline": "Graph-based tool retrieval for LLM agents — 248 tools → 82% accuracy, 79% fewer tokens. Zero dependencies. OpenAPI / MCP / LangChain.", "description": "A Python library for graph-based tool retrieval in LLM agents. It selects relevant tools from a set of up to 248 tools using a graph structure, achieving 82% accuracy while consuming 79% fewer tokens than baseline approaches. The library has zero external dependencies and supports OpenAPI, MCP, and LangChain integrations.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building LLM agents that need efficient tool selection from a large tool set", "useCases": [ "Selecting tools for LLM agents with minimal token overhead", "Integrating graph-based tool retrieval into agent workflows via OpenAPI or MCP", "Reducing context lengths when managing large tool inventories" ], "pros": [ "Zero dependencies, lightweight and easy to embed", "Substantial token savings (79%) without major accuracy tradeoff", "Supports multiple standard interfaces (OpenAPI, MCP, LangChain)" ], "cons": [ "Limited community adoption (7 GitHub stars)", "Python-only, not available for other languages", "82% accuracy on 248 tools may degrade with much larger tool sets" ], "tags": [ "agent", "agentic", "ai", "anthropic", "function-calling", "hybrid-search", "langchain", "llm" ], "featured": false, "tier": "curated", "stars": 7, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/SonAIengine/graph-tool-call", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "pydantic-pydantic-ai-mcp-run-python" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sonaiengine-graph-tool-call" }, { "slug": "sonirico-mcp-shell", "name": "sonirico/mcp-shell", "vendor": "Various", "tagline": "Give hands to AI. MCP server to run shell commands securely, auditably, and on demand.", "description": "An MCP server written in Go that lets AI agents execute shell commands on a host machine. It provides a controlled interface with auditing and security constraints, enabling on-demand command execution.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to give AI agents safe, auditable shell access for automation and operations tasks.", "useCases": [ "Automating system administration tasks via AI agents", "Running deployment scripts from a chat interface", "Executing diagnostic commands for remote troubleshooting" ], "pros": [ "Written in Go, single binary deployment with no runtime dependencies", "Built-in auditing for tracking all executed commands", "Security-focused design with configurable command restrictions" ], "cons": [ "Requires careful configuration to prevent unauthorized access", "Limited to shell commands, no built-in file system or database access", "Relatively small community and limited documentation" ], "tags": [ "ai", "bash", "go", "llm", "mcp", "model-context-protocol", "os-exec", "shell" ], "featured": false, "tier": "curated", "stars": 79, "language": [ "Go" ], "license": "GPL-3.0", "lastUpdated": "2026-05-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/sonirico/mcp-shell", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "wonderwhy-er-desktopcommandermcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sonirico-mcp-shell" }, { "slug": "sonirico-mcp-stockfish", "name": "sonirico/mcp-stockfish", "vendor": "Various", "tagline": "🐟 MCP server connecting AI systems to Stockfish chess engine", "description": "An MCP server that exposes Stockfish chess engine functionality to AI systems. It allows AI agents to analyze positions, calculate best moves, and evaluate chess games through the Model Context Protocol. Built in Go, it provides a lightweight bridge between AI workflows and Stockfish's chess engine.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers adding chess capabilities to AI agents or chatbots", "useCases": [ "Integrate chess analysis into AI assistants", "Build automated chess game analysis tools", "Enable LLMs to play or analyze chess positions" ], "pros": [ "Lightweight Go binary with minimal dependencies", "Uses standard MCP protocol for easy integration", "Open source with permissive license" ], "cons": [ "Requires Stockfish engine to be installed separately", "Small community and limited documentation (12 stars)", "Only supports chess, not other board games" ], "tags": [ "ai", "chess", "go", "golang", "mcp", "mcp-server", "mcp-server-golang", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 12, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2025-06-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/sonirico/mcp-stockfish", "relations": { "works_in": [ "cline", "cursor", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sonirico-mcp-stockfish" }, { "slug": "sonnyflylock-voxie-ai-directory-mcp", "name": "sonnyflylock/voxie-ai-directory-mcp", "vendor": "Various", "tagline": "MCP server for the Voxie AI Phone Number Directory. Query AI services you can chat with via webchat.", "description": "A Model Context Protocol (MCP) server that provides access to the Voxie AI Phone Number Directory. It allows developers to query a directory of AI services that are reachable via webchat.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based tools who need to query a directory of webchat-enabled AI services", "useCases": [ "Discover AI services available for webchat interaction", "Integrate directory lookup into MCP-compatible tools", "Query available AI endpoints programmatically" ], "pros": [ "Simple JavaScript implementation for easy setup", "Fills a niche for discovering webchat-accessible AI services", "Follows the MCP standard for interoperability" ], "cons": [ "Very low community adoption (1 star on GitHub)", "Limited documentation and support", "Narrow scope: only covers Voxie AI directory entries" ], "tags": [ "ai", "ai-assistant", "anthropic", "chatbot", "claude", "mcp", "mcp-server", "webchat" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "JavaScript" ], "lastUpdated": "2026-01-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/sonnyflylock/voxie-ai-directory-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sonnyflylock-voxie-ai-directory-mcp" }, { "slug": "sooperset-mcp-atlassian", "name": "sooperset/mcp-atlassian", "vendor": "Various", "tagline": "MCP server for Atlassian tools (Confluence, Jira)", "description": "This is an MCP server that provides a unified interface for Atlassian tools like Confluence and Jira. It exposes resources and tools such as list spaces, search issues, and create pages through the Model Context Protocol for use by AI agents.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to interact with Confluence and Jira", "useCases": [ "Querying Confluence spaces and pages from an AI agent", "Searching and filtering Jira issues programmatically", "Creating Confluence pages and Jira issues via an MCP client" ], "pros": [ "Well-starred open source project with active community", "Covers both Confluence and Jira in one server", "Simple Python installation and configuration" ], "cons": [ "Limited to two Atlassian products (no Bitbucket or Opsgenie)", "Requires API tokens and proper network access to your instance", "Dependent on MCP client compatibility and ecosystem maturity" ], "tags": [ "atlassian", "confluence", "jira", "mcp" ], "featured": false, "tier": "curated", "stars": 5314, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/sooperset/mcp-atlassian", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sooperset-mcp-atlassian" }, { "slug": "sophymarine-openregistry", "name": "sophymarine/openregistry", "vendor": "Various", "tagline": "Real-time, direct-from-official-registry company data via MCP. 30 national registries; unmodified raw fields and raw filing bytes. Tools: search, profile, officers, shareholders, c", "description": "OpenRegistry provides real-time company data from 30 national official registries via the Model Context Protocol. It returns unmodified raw fields and raw filing bytes. Tools include search, profile, officers, shareholders, charges, filings, and financial documents.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing direct, unmodified registry data for compliance or research", "useCases": [ "Search company profiles across 30 registries", "Retrieve raw filing documents for due diligence", "Access officer and shareholder data for compliance checks" ], "pros": [ "Real-time data sourced directly from official registries", "Raw unmodified fields preserve original accuracy", "Covers 30 national registries in one interface" ], "cons": [ "Limited to 30 registries, not global coverage", "Requires MCP integration for use", "Raw data may need additional parsing for structured analysis" ], "tags": [ "ai-agents", "aml", "claude", "data-journalism", "due-diligence", "entity-resolution", "foia", "fraud-detection" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "JavaScript" ], "license": "Apache-2.0", "lastUpdated": "2026-05-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/sophymarine/openregistry", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "exa-labs-exa-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sophymarine-openregistry" }, { "slug": "sowiedu-edict", "name": "Sowiedu/Edict", "vendor": "Various", "tagline": "A programming language designed for AI agents. No parser, no syntax — agents produce AST directly as JSON. Statically typed, effect-tracked, contract-verified, compiled to WASM via", "description": "A programming language that skips traditional parsing. AI agents produce an abstract syntax tree directly as JSON. The language is statically typed, tracks effects, verifies contracts, and compiles to WebAssembly via the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with agent-based code generation that demands verifiable, typed output.", "useCases": [ "Generating verified code from an AI agent's output as structured AST", "Enforcing type safety and effect tracking in agent-generated programs", "Compiling agent-produced JSON AST to WebAssembly for sandboxed execution" ], "pros": [ "Eliminates parser overhead and ambiguity by accepting AST directly", "Strong static guarantees: types, effects, and contracts verified at compile time", "Targets WebAssembly for safe, portable execution" ], "cons": [ "Extremely early stage with only 6 GitHub stars and minimal community", "No human-friendly syntax makes debugging and manual authoring difficult", "Depends on agents correctly producing the JSON AST format, adding a failure point" ], "tags": [ "ai", "ai-agents", "compiler", "effect-system", "formal-verification", "json-ast", "llm", "mcp" ], "featured": false, "tier": "curated", "stars": 6, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/Sowiedu/Edict", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sowiedu-edict" }, { "slug": "souzix76-n8n-workflow-tester-safe", "name": "Souzix76/n8n-workflow-tester-safe", "vendor": "Various", "tagline": "Safe MCP server + CLI for testing, inspecting, and operating n8n workflows with a constrained scope", "description": "A safe MCP server and CLI for testing, inspecting, and operating n8n workflows. It constrains the scope of operations to prevent unintended side effects during development. Written in TypeScript, it targets developers who need to verify workflow behavior in isolation.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a safe environment to test and inspect n8n workflows", "useCases": [ "Testing n8n workflows without affecting production data", "Inspecting workflow execution logs and states", "Operating workflows with restricted permissions" ], "pros": [ "Reduces risk of unintended side effects during testing", "Offers both server and CLI interfaces for flexible use", "Lightweight and focused on a single task" ], "cons": [ "Limited community support due to zero stars and low visibility", "Requires familiarity with n8n and MCP concepts", "May lack advanced debugging features found in larger tools" ], "tags": [ "automation", "mcp", "model-context-protocol", "n8n", "typescript", "workflow-testing" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/Souzix76/n8n-workflow-tester-safe", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/souzix76-n8n-workflow-tester-safe" }, { "slug": "spacecode-ai-spacebridge-mcp", "name": "spacecode-ai/SpaceBridge-MCP", "vendor": "Various", "tagline": "MCP server that turbocharges vibe coding by automating issue tracking", "description": "SpaceBridge-MCP is an MCP server that automates issue tracking for developers using AI coding assistants. It connects to GitHub issues and pull requests, allowing the assistant to create, update, and query them directly from the chat interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using AI coding assistants who want to manage GitHub issues without leaving their editor.", "useCases": [ "Automatically create GitHub issues from AI chat prompts", "Update issue status or assignees without leaving the editor", "Query open issues and pull requests to inform code changes" ], "pros": [ "Streamlines workflow by keeping issue management inside the coding session", "Simple Python implementation easy to extend or debug", "Reduces context switching for developers using AI assistants" ], "cons": [ "Limited to GitHub only, no support for other issue trackers", "Small community with only 6 stars, may lack long-term support", "Requires manual MCP configuration and API token setup" ], "tags": [], "featured": false, "tier": "curated", "stars": 6, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-10-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/spacecode-ai/SpaceBridge-MCP", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [ "github" ], "built_with": [ "fastmcp" ], "pairs_with": [ "idosal-git-mcp", "eyaltoledano-claude-task-master" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/spacecode-ai-spacebridge-mcp" }, { "slug": "spaceship-mcp", "name": "Spaceship MCP", "vendor": "Various", "tagline": "MCP server for the Spaceship API — manage domains, DNS, contacts & marketplace listings via AI", "description": "An MCP server that wraps the Spaceship API, enabling AI agents to manage domains, DNS records, contacts, and marketplace listings through the Model Context Protocol. It is written in TypeScript and exposes Spaceship API endpoints for use by compatible AI tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-powered workflows for domain and DNS management via the Spaceship API", "useCases": [ "Automating domain registration and DNS record updates via AI assistants", "Managing domain contact information across multiple domains", "Listing domains on the Spaceship marketplace through AI commands" ], "pros": [ "Enables AI-driven domain management without manual API calls", "Standard MCP integration works with many AI assistants", "Written in TypeScript, making it accessible to a wide developer base" ], "cons": [ "Low GitHub star count (7) suggests limited community adoption", "Depends entirely on the Spaceship API availability and limits", "Documentation and examples may be sparse due to early stage" ], "tags": [ "ai", "claude", "dns", "domain-management", "domains", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 7, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/bartwaardenburg/spaceship-mcp", "relations": { "works_in": [ "cursor", "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/spaceship-mcp" }, { "slug": "sparkit-science-sparkit-mcp", "name": "SPARKIT-science/sparkit-mcp", "vendor": "Various", "tagline": "MCP server for SPARKIT — call the scientific research agent from Claude Desktop, Cursor, and other MCP clients.", "description": "MCP server for SPARKIT that exposes a scientific research agent to MCP-compatible clients like Claude Desktop and Cursor. It allows developers to call the agent directly from their tools to perform literature searches and other research tasks. Built in Python and open source.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to add scientific research capabilities to their MCP-compatible toolchain", "useCases": [ "Integrate scientific literature queries into AI coding assistants", "Automate research workflows from MCP-compatible editors", "Build custom tools that call a research agent via MCP" ], "pros": [ "Works with popular MCP clients without extra integration", "Open source, inspectable codebase", "Reduces context switching for research tasks" ], "cons": [ "New project with zero stars, limited community feedback", "Requires Python runtime and MCP client setup", "Unknown reliability or performance under load" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/SPARKIT-science/sparkit-mcp", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sparkit-science-sparkit-mcp" }, { "slug": "sparksheets-sparksheets-mcp", "name": "SparkSheets/sparksheets-mcp", "vendor": "Various", "tagline": "SparkSheets MCP Server - AI-native collaborative spreadsheet for Claude Code, Cursor, and other MCP clients", "description": "SparkSheets MCP Server provides an AI-native collaborative spreadsheet interface that works with Claude Code, Cursor, and other MCP clients. It exposes spreadsheet operations through the Model Context Protocol, allowing agents to create, read, and manipulate tabular data interactively.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "LLM developers using Claude Code or Cursor who need lightweight spreadsheet collaboration inside their coding environment", "useCases": [ "Embedding live spreadsheets into AI coding workflows for data tracking", "Collaborating on structured data across multiple AI assistants", "Building automated data entry and analysis pipelines via MCP" ], "pros": [ "Leverages the MCP standard for easy integration with popular AI coding tools", "JavaScript codebase is accessible for customization and extension", "Enables real-time collaborative editing without leaving the chat interface" ], "cons": [ "No stars or community adoption yet, indicating early stage or limited validation", "Dependency on MCP clients may restrict usage to specific tools", "Scope appears narrow compared to full spreadsheet applications" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "lastUpdated": "2026-05-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/saikiyusuke/sparksheets-mcp", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sparksheets-sparksheets-mcp" }, { "slug": "speedofme-dev-speedofme-mcp", "name": "speedofme-dev/speedofme-mcp", "vendor": "Various", "tagline": "📇 ☁️ 🍎 🪟 🐧 - Official SpeedOf.Me server for accurate internet speed tests via 129 global Fastly edge servers with analytics dashboard and local history", "description": "An MCP server that runs internet speed tests using 129 global Fastly edge servers. Results are stored in a local history and displayed on an analytics dashboard.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need programmatic, repeatable internet speed tests with historical tracking", "useCases": [ "Measure current network throughput from a CLI or MCP client", "Track historical speed test results for network performance monitoring", "Compare speeds across different geographic edge servers" ], "pros": [ "Leverages a large global edge network for realistic speed measurements", "Provides both real-time results and historical analytics", "Works across major desktop platforms" ], "cons": [ "Requires an MCP-compatible client to use", "Speed test results depend on Fastly edge server availability", "No built-in scheduling or automated recurring tests" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://www.npmjs.com/package/@speedofme/mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/speedofme-dev-speedofme-mcp" }, { "slug": "spfunctions-simplefunctions-cli", "name": "spfunctions/simplefunctions-cli", "vendor": "Various", "tagline": "Reference and issue mirror for @spfunctions/cli, the SimpleFunctions sf command-line interface.", "description": "spfunctions/simplefunctions-cli is a GitHub reference and issue mirror for the @spfunctions/cli npm package, which provides the sf command-line interface for SimpleFunctions. It enables developers to manage serverless function deployments and invocations from the terminal.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers seeking a minimal, open-source CLI for deploying and managing simple serverless functions", "useCases": [ "Deploying simple serverless functions to a cloud provider", "Invoking functions for testing and debugging", "Managing function configurations and versioning" ], "pros": [ "Lightweight and straightforward CLI for function management", "Built with TypeScript, offering type safety and modern tooling", "Open source with a public issue tracker for community feedback" ], "cons": [ "Low community adoption and few stars suggests limited usage or maturity", "Repository is a mirror of the official package, not the primary development source", "Lacks detailed documentation or examples beyond a reference readme" ], "tags": [ "agent-ready-json", "ai-agents", "backtesting", "cli-first", "edge-detection", "kalshi", "kalshi-api", "kalshi-trading-bot" ], "featured": false, "tier": "curated", "stars": 10, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/spfunctions/simplefunctions-cli", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/spfunctions-simplefunctions-cli" }, { "slug": "spix-hq-spix-mcp", "name": "Spix-HQ/spix-mcp", "vendor": "Various", "tagline": "Spix MCP Server — give AI agents phone calls, SMS, and email as tool calls", "description": "Spix MCP Server exposes phone calls, SMS, and email as tool calls for AI agents via the Model Context Protocol. It is written in Python and acts as a bridge between an MCP-compatible host and Spix's communication APIs.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based agents that need outbound phone, SMS, or email capabilities", "useCases": [ "Let an AI agent send SMS notifications or alerts", "Enable an agent to place outbound phone calls with pre-recorded messages", "Allow an agent to send emails programmatically through tool calls" ], "pros": [ "Straightforward MCP integration for adding telephony and messaging to agents", "Covers three common communication channels in one server", "Python codebase is easy to inspect and modify" ], "cons": [ "Zero stars and no community traction yet, indicating early or unproven reliability", "Requires a Spix account and API keys, adding external dependency", "Limited to Spix's supported regions and rate limits" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/Spix-HQ/spix-mcp", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/spix-hq-spix-mcp" }, { "slug": "spotdb", "name": "spotdb", "vendor": "ai.aliengiraffe", "tagline": "Give your agents a secure, containerized SQL sandbox with MCP or API access enabled with DuckDB. No infra required, quick spin-up cycle. Push any CSV — query, analyze, and move on.", "description": "spotdb provides a secure, containerized SQL sandbox for agents. It uses DuckDB and offers MCP or API access. Users can push CSV files for ad-hoc querying and analysis without managing infrastructure.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building agent-based tools that need on-demand SQL analysis of tabular data", "useCases": [ "Give agents ad-hoc SQL access to uploaded CSV data", "Spin up disposable query environments for rapid analysis", "Integrate DuckDB queries into agent workflows via MCP or API" ], "pros": [ "Secure containerized sandbox isolates queries", "Zero infrastructure setup with quick spin-up", "Leverages DuckDB for efficient SQL processing" ], "cons": [ "Limited to DuckDB as the query engine", "Small community and few GitHub stars", "Primarily supports CSV data ingestion" ], "tags": [ "agentic", "agentic-ai", "agentic-workflow", "agents", "ai", "ai-agents", "database", "docker" ], "featured": false, "tier": "curated", "stars": 20, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/aliengiraffe/spotdb", "relations": { "works_in": [], "uses": [ "docker" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/spotdb" }, { "slug": "spl-bgu-planningcopilot", "name": "SPL-BGU/PlanningCopilot", "vendor": "Various", "tagline": "A modular chatbot that runs planning tools via natural language using MCP.", "description": "PlanningCopilot is an open-source modular chatbot that executes planning tools through natural language commands. It uses the Model Context Protocol (MCP) to integrate with compatible planning modules.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring MCP-based natural language planning assistants in small-scale or experimental projects", "useCases": [ "Translate natural language requests into structured planning tasks", "Chain planning operations via MCP-compatible tool modules", "Prototype conversational interfaces for planning workflows" ], "pros": [ "Modular design allows easy extension with MCP tools", "Natural language interface reduces manual planning overhead", "Open-source Python codebase for customization" ], "cons": [ "Low community adoption (3 GitHub stars) limits support and contributions", "Relies on the MCP ecosystem, which may have few ready-built planning modules", "Minimal documentation or examples beyond the repository" ], "tags": [ "agent", "ai", "llm", "mcp", "planning" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/SPL-BGU/PlanningCopilot", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/spl-bgu-planningcopilot" }, { "slug": "spranab-brainstorm-mcp", "name": "spranab/brainstorm-mcp", "vendor": "Various", "tagline": "MCP server for multi-round AI brainstorming debates between multiple models (GPT, DeepSeek, Groq, Ollama, etc.)", "description": "An MCP server that orchestrates multi-round brainstorming debates between multiple AI models (GPT, DeepSeek, Groq, Ollama, etc.). It runs structured back-and-forth sessions where models critique and build on each other's ideas.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to systematically compare and combine outputs from multiple AI models", "useCases": [ "Generate diverse solution ideas by pitting different models against each other", "Stress-test a concept through adversarial model debate", "Combine strengths of local and cloud models in a single session" ], "pros": [ "Leverages model diversity for richer brainstorming", "Supports both cloud and local models via Ollama", "Simple MCP integration for existing AI workflows" ], "cons": [ "Requires managing multiple API keys and endpoints", "Debate quality depends on model selection and prompt design", "Limited to text-based debate rounds, no visual or code execution" ], "tags": [ "ai", "ai-debate", "brainstorming", "claude", "deepseek", "groq", "llm", "mcp" ], "featured": false, "tier": "curated", "stars": 61, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/spranab/brainstorm-mcp", "relations": { "works_in": [], "uses": [ "ollama", "deepseek-r1" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/spranab-brainstorm-mcp" }, { "slug": "spranab-saga-mcp", "name": "spranab/saga-mcp", "vendor": "Various", "tagline": "A Jira-like project tracker MCP server for AI agents. SQLite-backed, 22 tools, full hierarchy, activity logging, and dashboard.", "description": "A Jira-like project tracker implemented as an MCP server for AI agents. It uses SQLite for storage and provides 22 tools for full project hierarchy management, activity logging, and a dashboard.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need a simple, embeddable project tracking system", "useCases": [ "Enabling AI agents to create and manage tasks, subtasks, and projects", "Integrating structured project tracking into AI workflows without external services", "Building an autonomous project management assistant with activity logging" ], "pros": [ "Self-contained SQLite backend requires no external database setup", "22 tools cover a broad range of project management operations", "Designed specifically for AI agent consumption via MCP" ], "cons": [ "Low community adoption (25 stars) implies limited testing and support", "SQLite may become a bottleneck in multi-agent or high-throughput scenarios", "Lacks integration with popular project management platforms like Jira or Trello" ], "tags": [], "featured": false, "tier": "curated", "stars": 25, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/spranab/saga-mcp", "relations": { "works_in": [ "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "sooperset-mcp-atlassian" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/spranab-saga-mcp" }, { "slug": "spre-sre-lumino-mcp-server", "name": "spre-sre/lumino-mcp-server", "vendor": "Various", "tagline": "AI/ML-powered diagnostic engine for SRE Observability on Konflux and OpenShift. It uses the Model Context Protocol (MCP) and 40+ tools to analyze logs, metrics, and traces, enablin", "description": "A diagnostic engine for SRE observability on Konflux and OpenShift. It uses the Model Context Protocol and 40+ tools to analyze logs, metrics, and traces. The tool enables automated root cause analysis and predictive analysis.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "SRE teams working with Konflux and OpenShift who need automated diagnostics", "useCases": [ "Automated root cause analysis from observability data", "Predictive analysis of system failures", "Integrating with Konflux and OpenShift monitoring stacks" ], "pros": [ "Uses Model Context Protocol for standardized context handling", "Offers 40+ tools for comprehensive log, metric, and trace analysis", "Python-based, easy to integrate into existing workflows" ], "cons": [ "Low GitHub stars (6) indicate early stage or limited adoption", "Requires Konflux and OpenShift environments", "May have limited documentation or community support" ], "tags": [], "featured": false, "tier": "curated", "stars": 6, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-05-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/spre-sre/lumino-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "netdata-netdata-netdata" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/spre-sre-lumino-mcp-server" }, { "slug": "spyrae-claude-concilium", "name": "spyrae/claude-concilium", "vendor": "Various", "tagline": "Multi-agent AI consultation framework for Claude Code via MCP — get second opinions from OpenAI, Gemini, Qwen, DeepSeek", "description": "A multi-agent consultation framework that integrates with Claude Code via the Model Context Protocol (MCP). It routes queries to external AI models like OpenAI, Gemini, Qwen, and DeepSeek to provide second opinions within Claude's environment.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude Code who want to verify or enrich outputs with other AI models", "useCases": [ "Cross-checking Claude's output with another model for accuracy", "Comparing reasoning from multiple AI models on a single prompt", "Building multi-model validation into a Claude Code workflow" ], "pros": [ "Leverages MCP for seamless integration with Claude Code", "Supports multiple major AI providers out of the box", "Lightweight JavaScript implementation with low overhead" ], "cons": [ "Requires API keys for each external model used", "Adds latency from sequential model calls", "Limited to models with compatible API endpoints" ], "tags": [ "ai-agents", "claude-code", "code-review", "developer-tools", "gemini", "llm", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 8, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/spyrae/claude-concilium", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/spyrae-claude-concilium" }, { "slug": "srclight-srclight", "name": "srclight/srclight", "vendor": "Various", "tagline": "Deep code indexing MCP server for AI agents. 25 tools: hybrid FTS5 + embedding search, call graphs, git blame/hotspots, build system analysis. Multi-repo workspaces, GPU-accelerate", "description": "A deep code indexing MCP server for AI agents. It provides 25 tools including hybrid FTS5 and embedding search, call graphs, git blame/hotspots, and build system analysis. It supports multi-repo workspaces, GPU-accelerated semantic search, and 10 languages via tree-sitter, all fully local with no cloud dependencies.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and AI agent builders who need a local, privacy-preserving code indexing server", "useCases": [ "Enabling AI agents to navigate and understand large codebases", "Performing semantic code search with GPU acceleration", "Analyzing build systems and git history for hotspots" ], "pros": [ "Fully local with no cloud dependencies ensures privacy and offline use", "Wide range of tools from search to call graphs and git analysis", "GPU-accelerated semantic search for fast code retrieval" ], "cons": [ "Small community and limited adoption may mean fewer resources", "GPU acceleration required for optimal performance, not available on all setups", "Language support limited to 10 languages via tree-sitter" ], "tags": [ "code-indexing", "code-intelligence", "code-search", "developer-tools", "embeddings", "fts5", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 44, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/srclight/srclight", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp", "topoteretes-cognee" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/srclight-srclight" }, { "slug": "srijanshukla18-xray", "name": "srijanshukla18/xray", "vendor": "Various", "tagline": "XRAY MCP provides progressive code intelligence and navigation capabilities for AI assistants through structural code analysis using ast-grep", "description": "XRAY MCP is a Python tool that gives AI assistants structural code intelligence by analyzing codebases with ast-grep. It enables navigation and understanding of code through progressive analysis of syntax trees.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI coding assistants that need structural code understanding", "useCases": [ "Enabling AI assistants to navigate and understand large codebases", "Performing structural code searches and pattern matching", "Providing context-aware code intelligence for development workflows" ], "pros": [ "Leverages ast-grep for fast, reliable structural analysis", "Lightweight Python implementation with clear focus", "Open source with active community (49 stars)" ], "cons": [ "Limited to Python runtime and ast-grep supported languages", "Small user base may mean fewer integrations and examples", "Requires ast-grep to be installed separately" ], "tags": [], "featured": false, "tier": "curated", "stars": 49, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-12-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/srijanshukla18/xray", "relations": { "works_in": [ "claude-code", "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/srijanshukla18-xray" }, { "slug": "srinath1510-alltrails-mcp-server", "name": "srinath1510/alltrails-mcp-server", "vendor": "Various", "tagline": "DEPRECATED: MCP server that provides access to AllTrails data, allowing you to search for hiking trails and get detailed trail information directly through Claude Desktop.", "description": "This is a deprecated MCP server that provides access to AllTrails data, enabling users to search for hiking trails and retrieve detailed trail information directly through Claude Desktop. It is built in Python and acts as a bridge between the AllTrails platform and AI assistants.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants for outdoor activity planning who need trail data integration", "useCases": [ "Search for hiking trails by location or criteria via Claude Desktop", "Get detailed trail information including length, difficulty, and elevation", "Integrate trail data into AI-driven outdoor planning workflows" ], "pros": [ "Direct access to AllTrails data without manual web searches", "Simple integration with Claude Desktop for conversational trail queries", "Open-source Python implementation for easy customization" ], "cons": [ "Deprecated and no longer maintained, risking compatibility issues", "Limited to 12 GitHub stars, indicating low community adoption", "Dependent on AllTrails API availability and potential rate limits" ], "tags": [], "featured": false, "tier": "curated", "stars": 12, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-01-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/srinath1510/alltrails-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/srinath1510-alltrails-mcp-server" }, { "slug": "srinivasan-sundaresan95-orihime", "name": "srinivasan-sundaresan95/orihime", "vendor": "Various", "tagline": "Cross-repo code knowledge graph for Java/Kotlin/JS/TS — MCP server, taint analysis, call graph, OWASP reports. 95% fewer tokens than source-reading.", "description": "A cross-repo code knowledge graph that serves as an MCP server for Java, Kotlin, JavaScript, and TypeScript. It performs taint analysis, builds call graphs, and generates OWASP security reports, claiming to use 95% fewer tokens than direct source code reading.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing efficient cross-repo vulnerability analysis and call graph visualization for Java, Kotlin, or JavaScript/TypeScript projects.", "useCases": [ "Analyze cross-repo code dependencies and call graphs", "Detect security vulnerabilities via taint analysis", "Generate OWASP-compliant security reports for multi-repo projects" ], "pros": [ "Dramatically reduces token consumption for LLM-based code analysis", "Covers multiple major languages (Java, Kotlin, JS/TS)", "Produces actionable OWASP security reports" ], "cons": [ "Zero GitHub stars indicates early stage or limited adoption", "Potential lack of community support and documentation", "Taint analysis accuracy may vary for complex codebases" ], "tags": [ "call-graph", "code-analysis", "java", "kotlin", "kuzudb", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "lastUpdated": "2026-05-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/srinivasan-sundaresan95/orihime", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/srinivasan-sundaresan95-orihime" }, { "slug": "st3v3nmw-sourcerer-mcp", "name": "st3v3nmw/sourcerer-mcp", "vendor": "Various", "tagline": "MCP for semantic code search & navigation that reduces token waste", "description": "A Model Context Protocol server that enables semantic code search and navigation, reducing token waste by indexing codebases and retrieving only relevant snippets for LLM tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-enabled code assistants who need efficient semantic code retrieval", "useCases": [ "Performing natural language queries against codebases for LLM-powered code analysis", "Navigating large repositories without sending full context to AI assistants", "Integrating semantic search into MCP-compatible development environments" ], "pros": [ "Reduces token consumption by delivering only contextually relevant code to LLMs", "Semantic search improves accuracy over simple keyword matching", "Single Go binary is fast and easy to deploy" ], "cons": [ "Relatively new with limited community adoption and fewer than 150 stars", "Requires an MCP client or framework to use, limiting standalone utility", "May need to be self-hosted or configured per project" ], "tags": [ "claude-code", "code-analysis", "code-navigation", "code-search", "mcp", "mcp-server", "model-context-protocol", "semantic-search" ], "featured": false, "tier": "curated", "stars": 114, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2025-11-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/st3v3nmw/sourcerer-mcp", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/st3v3nmw-sourcerer-mcp" }, { "slug": "ssatama-rescuedogs-mcp-server", "name": "ssatama/rescuedogs-mcp-server", "vendor": "Various", "tagline": "📇 ☁️ - Search and discover rescue dogs from European and UK organizations with AI-powered personality matching and detailed profiles.", "description": "An MCP server that queries rescue dog listings from European and UK organizations. It returns detailed profiles and supports personality matching to help users find suitable pets.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants for pet adoption queries in Europe/UK", "useCases": [ "Search for adoptable dogs by location", "Match dog personality to user preferences", "Retrieve detailed rescue dog profiles" ], "pros": [ "Accesses real rescue databases across Europe and UK", "Personality matching feature helps narrow choices", "Simple MCP integration for AI assistants" ], "cons": [ "Zero stars suggests limited community adoption or testing", "Only covers European and UK organizations, not global", "Dependency on MCP client and server infrastructure" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/ssatama/rescuedogs-mcp-server", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ssatama-rescuedogs-mcp-server" }, { "slug": "stabgan-openrouter-mcp-multimodal", "name": "stabgan/openrouter-mcp-multimodal", "vendor": "Various", "tagline": "MCP server for OpenRouter — chat with 300+ LLMs (Claude, Gemini, GPT), analyze images / audio / video, generate images / speech / music / video (Veo 3.1, Sora, Seedance, Wan) from", "description": "An MCP server that connects to OpenRouter, enabling chat with 300+ LLMs including Claude, Gemini, and GPT. It also supports analysis of images, audio, and video, as well as generation of images, speech, music, and video (Veo 3.1, Sora, Seedance, Wan) from compatible clients like Claude Desktop, Cursor, Kiro, and VS Code.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to switch between many LLMs and multimodal models from a single MCP-compatible client", "useCases": [ "Chat with any OpenRouter model without switching APIs", "Analyze images, audio, or video using a single MCP endpoint", "Generate media (images, speech, music, video) from your editor or environment" ], "pros": [ "Unified interface to hundreds of models via MCP", "Multimodal input and output support", "Works with popular developer tools out of the box" ], "cons": [ "Requires an OpenRouter API key and usage costs apply", "Relies on OpenRouter availability and rate limits", "Small community (42 stars) may mean limited support" ], "tags": [ "ai-agent", "claude", "claude-desktop", "cursor", "docker", "gemini", "image-generation", "llm" ], "featured": false, "tier": "curated", "stars": 42, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/stabgan/openrouter-mcp-multimodal", "relations": { "works_in": [ "cursor" ], "uses": [], "built_with": [], "pairs_with": [ "cursor" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/stabgan-openrouter-mcp-multimodal" }, { "slug": "staccdotsol-staccbot-tg", "name": "staccDOTsol/staccbot-tg", "vendor": "Various", "tagline": "staccDOTsol/staccbot-tg — indexed from awesome-mcp-servers-punkpeye", "description": "A Telegram bot built on Stacks blockchain that provides access to Stacks-based AI agents. It enables users to interact with these agents directly through Telegram messages.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and users wanting to interact with Stacks blockchain AI agents through Telegram.", "useCases": [ "Querying Stacks AI agents via Telegram chat", "Building automated workflows on Stacks blockchain", "Experimenting with blockchain-native AI agents" ], "pros": [ "Lightweight Telegram integration lowers friction for users", "Open source allows for customization and audit", "Direct access to Stacks ecosystem AI agents" ], "cons": [ "Requires a Telegram account and bot setup", "Limited to Stacks blockchain agents only", "Documentation and community support may vary" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/staccDOTsol/staccbot-tg", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "lharries-whatsapp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/staccdotsol-staccbot-tg" }, { "slug": "stack-chan-stack-chan", "name": "stack-chan/stack-chan", "vendor": "Various", "tagline": "A JavaScript-driven M5Stack-embedded super-kawaii robot.", "description": "Stack-chan is an open-source, JavaScript-driven robot built on the M5Stack embedded platform. It uses TypeScript to control a cute, customizable robot body for prototyping and experimentation.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Web developers and hobbyists wanting to build cute, programmable robots with JavaScript", "useCases": [ "Building a programmable desktop companion robot", "Prototyping interactive hardware with JavaScript", "Learning embedded robotics with a friendly platform" ], "pros": [ "JavaScript/TypeScript lowers the barrier for web developers", "Active open-source community with 1.5k stars", "Modular M5Stack hardware is easy to extend" ], "cons": [ "Requires M5Stack hardware, not a standalone software tool", "Limited to the capabilities of the M5Stack ecosystem", "Documentation and examples may vary in quality" ], "tags": [ "chatgpt", "esp32", "fusion360", "hardware", "javascript", "kawaii", "kicad", "m5stack" ], "featured": false, "tier": "curated", "stars": 1503, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/stack-chan/stack-chan", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/stack-chan-stack-chan" }, { "slug": "stackloklabs-mkp", "name": "StacklokLabs/mkp", "vendor": "Various", "tagline": "MKP is a Model Context Protocol (MCP) server for Kubernetes", "description": "MKP is a Model Context Protocol (MCP) server for Kubernetes. It exposes Kubernetes resources and operations through the MCP interface, enabling AI agents to interact with clusters. Built in Go, it provides a standardized way for LLMs to query and manage Kubernetes objects.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need programmatic access to Kubernetes clusters", "useCases": [ "Query cluster state and resource configurations via natural language", "Automate routine Kubernetes operations through AI agent integrations", "Enable AI-assisted debugging and troubleshooting of Kubernetes workloads" ], "pros": [ "Leverages the MCP standard for broad AI tool compatibility", "Lightweight Go implementation with minimal dependencies", "Directly addresses Kubernetes operational tasks without custom scripting" ], "cons": [ "Small community and limited adoption (57 stars)", "Requires MCP-compatible AI clients to be useful", "May lack advanced Kubernetes features or edge-case handling" ], "tags": [], "featured": false, "tier": "curated", "stars": 57, "language": [ "Go" ], "license": "Apache-2.0", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/StacklokLabs/mkp", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/stackloklabs-mkp" }, { "slug": "stackloklabs-ocireg-mcp", "name": "StacklokLabs/ocireg-mcp", "vendor": "Various", "tagline": "An MCP (Model Context Protocol) server that provides tools for querying OCI registries and image references.", "description": "An MCP server written in Go that exposes tools for querying OCI registries and image references. It allows MCP-compatible clients to inspect container image metadata and tags.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to query container registries from MCP-enabled AI assistants or automation tools", "useCases": [ "Querying image tags and manifests from a container registry", "Inspecting image references for dependency analysis", "Integrating registry lookups into MCP-based workflows" ], "pros": [ "Lightweight Go implementation with no external dependencies", "Open source under a permissive license", "Focused on a specific, well-defined protocol (MCP)" ], "cons": [ "Low community adoption and limited documentation", "Requires an MCP-compatible client to be useful", "Only supports read operations on OCI registries" ], "tags": [], "featured": false, "tier": "curated", "stars": 13, "language": [ "Go" ], "license": "Apache-2.0", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/StacklokLabs/ocireg-mcp", "relations": { "works_in": [], "uses": [ "docker" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/stackloklabs-ocireg-mcp" }, { "slug": "stadiamaps-stadiamaps-mcp-server-ts", "name": "stadiamaps/stadiamaps-mcp-server-ts", "vendor": "Various", "tagline": "A TypeScript MCP server for interacting with the Stadia Maps APIs", "description": "A TypeScript MCP server that wraps Stadia Maps APIs for geocoding, routing, and map tile access. It enables AI agents to query location data through the standard Model Context Protocol interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building location-aware AI assistants or agents using the Model Context Protocol", "useCases": [ "Geocode addresses and places for location-aware task planning", "Calculate and optimize routes for delivery or travel itineraries", "Retrieve map tiles for spatial context and visualization" ], "pros": [ "Open source TypeScript implementation with clear MCP integration", "Leverages Stadia Maps' reliable and fast geolocation APIs", "Simple setup for adding location capabilities to MCP-compatible AI agents" ], "cons": [ "Limited to Stadia Maps vendor; no support for other map providers", "Requires a Stadia Maps API key and may incur usage costs", "Relatively new project (22 stars) with small community and limited documentation" ], "tags": [], "featured": false, "tier": "curated", "stars": 22, "language": [ "TypeScript" ], "license": "BSD-3-Clause", "lastUpdated": "2025-07-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/stadiamaps/stadiamaps-mcp-server-ts", "relations": { "works_in": [ "cursor", "cline", "claude-code", "continue" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/stadiamaps-stadiamaps-mcp-server-ts" }, { "slug": "stape-io-google-tag-manager-mcp-server", "name": "stape-io/google-tag-manager-mcp-server", "vendor": "Various", "tagline": "MCP server for Google Tag Manager", "description": "An MCP server that enables AI assistants to interact with Google Tag Manager. It allows reading, creating, updating, and deleting tags, triggers, and variables through the GTM API.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and marketers who want to manage Google Tag Manager via AI assistants or automated scripts", "useCases": [ "Automate tag and trigger creation from natural language prompts", "Audit and update existing GTM configurations programmatically", "Integrate GTM management into AI-driven development workflows" ], "pros": [ "Open source with 162 stars and active maintenance", "Written in TypeScript for type safety and easy integration", "Directly maps to GTM API operations for precise control" ], "cons": [ "Requires GTM API credentials and proper authorization setup", "Limited to GTM operations; no support for other Google services", "Dependent on MCP protocol adoption in your toolchain" ], "tags": [ "gtm", "gtm-server-side", "mcp", "mcp-server", "stape" ], "featured": false, "tier": "curated", "stars": 162, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-05-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/stape-io/google-tag-manager-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "pipedreamhq-pipedream", "sooperset-mcp-atlassian" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/stape-io-google-tag-manager-mcp-server" }, { "slug": "stape-io-stape-mcp-server", "name": "stape-io/stape-mcp-server", "vendor": "Various", "tagline": "Interact with the Stape API using AI assistants like Claude, or in AI-powered IDEs like Cursor.", "description": "A Model Context Protocol (MCP) server that lets AI assistants like Claude and AI-powered IDEs like Cursor interact with the Stape API. It acts as a bridge, allowing developers to manage Stape configurations and data through natural language or code prompts.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers already using Stape who want to control it through AI assistants", "useCases": [ "Query Stape API resources via an AI chat interface", "Manage Stape server-side tag configurations using natural language", "Automate Stape workflows directly from an IDE like Cursor" ], "pros": [ "Works with multiple AI assistants and IDEs out of the box", "Simple setup via npx or Docker for quick integration", "Open source with TypeScript type safety" ], "cons": [ "Very low community traction (13 stars) implies limited testing and support", "Only works with the Stape API, requiring existing Stape knowledge and credentials", "Functionality is entirely dependent on the capabilities of the Stape API" ], "tags": [ "gtm", "gtm-server-side", "mcp", "mcp-server", "stape" ], "featured": false, "tier": "curated", "stars": 13, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-03-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/stape-io/stape-mcp-server", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/stape-io-stape-mcp-server" }, { "slug": "startvest-llc-idealift-mcp-server", "name": "Startvest-LLC/idealift-mcp-server", "vendor": "Various", "tagline": "IdeaLift MCP Server - Decision intelligence for AI assistants. Captures product feedback, tracks decisions, and manages your backlog via Model Context Protocol.", "description": "An MCP server that enables AI assistants to capture product feedback, track decisions, and manage a backlog. It uses the Model Context Protocol to integrate with AI tools. Built in TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-assisted project management tools", "useCases": [ "Capture product feedback from AI assistant interactions", "Track decisions made during AI-assisted workflows", "Manage project backlog through AI assistant commands" ], "pros": [ "Open source and free to use", "Integrates with any MCP-compatible AI assistant", "TypeScript codebase for easy customization" ], "cons": [ "No stars or community adoption yet", "Limited documentation or examples", "Requires setting up an MCP server environment" ], "tags": [ "ai-trust", "decision-intelligence", "integrity-framework", "mcp", "model-context-protocol", "trust-framework" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/Startvest-LLC/idealift-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "eyaltoledano-claude-task-master" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/startvest-llc-idealift-mcp-server" }, { "slug": "stass-exif-mcp", "name": "stass/exif-mcp", "vendor": "Various", "tagline": "MCP server to extract image metadata (EXIF, XMP, etc)", "description": "An MCP server that extracts image metadata including EXIF and XMP fields. It exposes a tool interface for reading metadata from image files, designed for integration into MCP-compatible workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to extract image metadata within MCP-based automation or AI toolchains", "useCases": [ "Extract EXIF data from photos for automated tagging or analysis", "Read XMP metadata for digital asset management pipelines", "Integrate image metadata extraction into AI agent or assistant tools" ], "pros": [ "Open source with a focused, single-purpose design", "Written in TypeScript for type safety and maintainability", "Lightweight MCP server that is easy to deploy locally" ], "cons": [ "Small community and limited stars (36) indicate early-stage adoption", "Only handles metadata extraction, no image processing or editing", "Requires local setup and MCP-compatible client to use" ], "tags": [], "featured": false, "tier": "curated", "stars": 36, "language": [ "TypeScript" ], "license": "BSD-2-Clause", "lastUpdated": "2025-11-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/stass/exif-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/stass-exif-mcp" }, { "slug": "stass-lldb-mcp", "name": "stass/lldb-mcp", "vendor": "Various", "tagline": "LLDB MCP server", "description": "An MCP server that exposes LLDB debugger capabilities to AI assistants via the Model Context Protocol. It enables natural language control of native code debugging sessions, allowing breakpoints, variable inspection, and step execution through a CLI or IDE integration.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to debug native code via AI assistants or automate LLDB workflows through MCP-compatible tools", "useCases": [ "Debugging C/C++ programs using natural language commands in an AI chat interface", "Automating repetitive debug workflows like setting conditional breakpoints or inspecting call stacks", "Integrating LLDB debugging into MCP-compatible editors or assistants for context-aware analysis" ], "pros": [ "Open-source Python implementation, easy to inspect and extend", "Simple MCP interface abstracts LLDB complexity for non-expert users", "Works with any MCP client, enabling flexible toolchain integration" ], "cons": [ "Requires a working LLDB installation and familiarity with its target environment", "Limited to LLDB-supported platforms (macOS, Linux, iOS/tvOS) and native code debugging", "No built-in GUI or IDE plugin; relies on external MCP client for user interaction" ], "tags": [], "featured": false, "tier": "curated", "stars": 100, "language": [ "Python" ], "license": "BSD-2-Clause", "lastUpdated": "2025-03-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/stass/lldb-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "lauriewired-ghidramcp", "mrexodia-ida-pro-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/stass-lldb-mcp" }, { "slug": "stefan-xyz-mcp-server-runescape", "name": "stefan-xyz/mcp-server-runescape", "vendor": "Various", "tagline": "MCP server with tools for interacting with RuneScape (RS) and Old School RuneScape (OSRS) data", "description": "An MCP server that provides tools for querying RuneScape and Old School RuneScape data. It allows AI agents and other MCP-compatible clients to retrieve game information programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants or automation tools for RuneScape", "useCases": [ "Fetching item prices and stats", "Looking up quest requirements", "Retrieving monster drop tables" ], "pros": [ "Simple integration with MCP-compatible clients", "Provides structured access to game data", "Open source with permissive license" ], "cons": [ "Limited to data available through public sources", "Small community and few stars (12)", "Requires an MCP-compatible client to use" ], "tags": [ "osrs", "runescape", "runescape-api" ], "featured": false, "tier": "curated", "stars": 12, "language": [ "JavaScript" ], "license": "Apache-2.0", "lastUpdated": "2026-02-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/stefan-xyz/mcp-server-runescape", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/stefan-xyz-mcp-server-runescape" }, { "slug": "stevepridemore-graph-memory", "name": "stevepridemore/graph-memory", "vendor": "Various", "tagline": "A personal knowledge graph for Claude that survives across sessions, devices, and tools. Neo4j + semantic embeddings, OAuth-secured, single-user-by-default but multi-tenant-ready.", "description": "A personal knowledge graph for Claude that persists across sessions, devices, and tools. It uses Neo4j and semantic embeddings to store and retrieve information, secured via OAuth, and is single-user by default but designed for multi-tenant use.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building persistent memory for Claude-based applications", "useCases": [ "Maintain long-term context for Claude conversations across sessions", "Store and query structured knowledge from multiple devices", "Build a persistent memory layer for AI assistants" ], "pros": [ "Survives across sessions and devices for consistent context", "Uses Neo4j and embeddings for flexible, semantic retrieval", "OAuth security with multi-tenant-ready architecture" ], "cons": [ "Single-user by default, requiring configuration for multi-user", "Requires Neo4j setup and management", "Limited community adoption with only 1 star" ], "tags": [ "agent-memory", "ai-memory", "claude", "graphrag", "knowledge-graph", "llm-memory", "local-ai", "mcp" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/stevepridemore/graph-memory", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "vectorize-io-hindsight", "topoteretes-cognee" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/stevepridemore-graph-memory" }, { "slug": "stfade-moth", "name": "stfade/moth", "vendor": "Various", "tagline": "A debugging workflow plugin for AI coding agents. Turns terminal failures into source-backed fixes via MCP and structured skills.", "description": "A debugging workflow plugin for AI coding agents that captures terminal failures and applies structured skills via MCP to generate source-backed fixes. It integrates into agent toolchains to automate recovery from build, test, and runtime errors.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using AI coding agents who want automated error recovery from terminal logs", "useCases": [ "Automatically fixing compile errors in agent-driven development", "Resolving test failures from terminal output in CI workflows", "Recovering from runtime exceptions during code generation sessions" ], "pros": [ "Translates terminal errors directly into source-backed fixes", "Leverages MCP for standardized agent-to-tool communication", "Reduces manual debugging iteration for agent developers" ], "cons": [ "Very early stage with only 1 GitHub star, limited community validation", "Requires MCP-compatible terminals and agent frameworks", "Error coverage may be sparse for niche languages or complex failures" ], "tags": [ "ai-coding-agent", "bug-fix", "debugging", "developer-tools", "fix-memory", "mcp", "model-context-protocol", "typescript" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/stfade/moth", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/stfade-moth" }, { "slug": "stifler7-memex", "name": "STiFLeR7/memex", "vendor": "Various", "tagline": "Persistent memory for AI coding agents via MCP — a bitemporal knowledge graph of your codebase, served to Claude Code, Cursor, Gemini CLI, and any MCP client. Tree-sitter + Gemini", "description": "STiFLeR7/memex provides persistent memory for AI coding agents through the Model Context Protocol (MCP). It builds a bitemporal knowledge graph of a codebase using Tree-sitter for parsing and Gemini Flash for embeddings, stored in Neo4j via Graphiti. The tool offers 12 MCP tools, hierarchical clustering, and a two-regime confidence decay system for memory management.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using MCP-compatible coding agents who need persistent, temporally aware codebase memory", "useCases": [ "Give Claude Code or Cursor long-term recall of code structure and changes across sessions", "Query historical codebase context with temporal awareness for debugging or refactoring", "Integrate persistent memory into any MCP-compatible agent workflow" ], "pros": [ "Bitemporal graph captures both state and history of code for rich context", "Works with multiple popular coding agents via standard MCP interface", "Confidence decay helps manage stale or less relevant information automatically" ], "cons": [ "Requires running a Neo4j database, adding infrastructure overhead", "Depends on Gemini Flash for embeddings, limiting offline or alternative model use", "Small community (11 stars) means limited support and documentation" ], "tags": [ "agent-memory", "ai-agents", "ai-coding-assistant", "anthropic", "claude-code", "code-intelligence", "codex", "context-engineering" ], "featured": false, "tier": "curated", "stars": 11, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/STiFLeR7/memex", "relations": { "works_in": [ "cline", "claude-code", "aider" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/stifler7-memex" }, { "slug": "stippi-code-assistant", "name": "stippi/code-assistant", "vendor": "Various", "tagline": "An LLM-powered, autonomous coding assistant. Also offers an MCP and ACP mode.", "description": "An autonomous coding assistant powered by large language models. It operates in standalone mode or through MCP and ACP protocols for integration into existing workflows. Written in Rust, it aims to provide efficient code generation and assistance.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers seeking an autonomous coding assistant with flexible integration options", "useCases": [ "Automating repetitive code writing tasks", "Integrating into development pipelines via MCP or ACP", "Generating boilerplate or fixing code snippets" ], "pros": [ "Autonomous operation reduces manual coding effort", "Offers multiple integration modes (MCP, ACP) for flexibility", "Written in Rust for performance and low resource usage" ], "cons": [ "Small user base (165 stars) may limit community support and resources", "Autonomous mode can produce incorrect code without careful oversight", "Requires understanding of MCP/ACP protocols for advanced use" ], "tags": [ "agentic-ai", "assistant", "claude-opus", "claude-sonnet", "coding-agent", "gemini-pro", "gpt-5-codex", "mcp-server" ], "featured": false, "tier": "curated", "stars": 165, "language": [ "Rust" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/stippi/code-assistant", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "aider" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/stippi-code-assistant" }, { "slug": "storybookjs-addon-mcp", "name": "storybookjs/addon-mcp", "vendor": "Various", "tagline": "🤖", "description": "A Storybook addon that exposes component stories as resources via the Model Context Protocol (MCP). It allows MCP-compatible AI assistants to browse, query, and interact with a Storybook component library programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Teams using Storybook who want to integrate AI assistants for component discovery, testing, or automated workflows.", "useCases": [ "Enable AI coding assistants to discover and inspect available UI components", "Automate component testing or story generation through MCP-compatible tools", "Integrate Storybook with AI-powered design-to-code workflows" ], "pros": [ "Bridges Storybook with the growing MCP ecosystem for AI tooling", "Works with existing Storybook stories without additional configuration", "Open source with an active community (246 stars)" ], "cons": [ "Requires an MCP-compatible client or agent to be useful", "Limited to Storybook environments and does not extend to other UI frameworks", "Early stage project with potentially sparse documentation and support" ], "tags": [], "featured": false, "tier": "curated", "stars": 246, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/storybookjs/addon-mcp", "relations": { "works_in": [ "cursor", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/storybookjs-addon-mcp" }, { "slug": "strato-space-media-gen-mcp", "name": "strato-space/media-gen-mcp", "vendor": "Various", "tagline": "Media Gen MCP — Strict TypeScript MCP server for OpenAI gpt-image-1 and sora-2: generate, edit, and fetch images/video with smart compression, resourcelink and image outputs, and a", "description": "A strict TypeScript MCP server for OpenAI's gpt-image-1 and sora-2 models. It generates, edits, and fetches images and video with smart compression, resourcelink and image outputs, and includes a built-in test tool for MCP clients. Production-focused with full strict TypeScript and optional sharp processing.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based tools that need image and video generation from OpenAI models", "useCases": [ "Generating images from text prompts via OpenAI's gpt-image-1 model", "Editing existing images with smart compression in MCP workflows", "Fetching and managing image/video outputs for MCP client applications" ], "pros": [ "Production-focused with strict TypeScript for reliability", "Built-in test tool simplifies MCP client integration", "Optional sharp processing enables efficient image compression" ], "cons": [ "Low GitHub stars (8) indicate limited community adoption or maturity", "Depends on OpenAI API, incurring usage costs and rate limits", "Requires an MCP client setup, adding initial configuration overhead" ], "tags": [], "featured": false, "tier": "curated", "stars": 8, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-01-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/strato-space/media-gen-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/strato-space-media-gen-mcp" }, { "slug": "stripe", "name": "Stripe Agent Toolkit MCP Server", "vendor": "Stripe", "tagline": "Expose Stripe's full payments and billing API as MCP tools — customers, charges, subscriptions, invoices, and refunds for any MCP-compatible agent.", "description": "Stripe Agent Toolkit is Stripe's official open-source library that surfaces the Stripe API as callable tools for AI agents, including a first-class MCP server implementation. It exposes tools for managing customers, creating and inspecting charges, handling subscriptions and subscription items, generating and voiding invoices, issuing refunds, and working with payment intents and products — giving agents the ability to automate the full payments and billing lifecycle without custom API wrappers. The toolkit ships as an npm package (`@stripe/agent-toolkit`) and integrates natively with MCP-compatible hosts such as Claude Desktop, Claude Code, Cursor, and Windsurf via stdio transport, as well as with LangChain and Vercel AI SDK for non-MCP agent frameworks. Authentication uses standard Stripe API keys with support for restricted keys, enabling least-privilege scoping so agents can be limited to read-only or specific resource types. Teams running SaaS billing, marketplace payouts, or support automation workflows will find this the fastest path to giving agents safe, structured access to their Stripe account.", "category": "data", "pricingTier": "free", "deployEffort": "low", "bestFor": "SaaS and marketplace teams that want agents to automate payments, billing, and customer operations across the full Stripe API surface", "useCases": [ "Look up a customer record and their open invoices from a support agent workflow", "Issue a refund or apply a credit note to a charge without leaving the agent session", "Create or update a subscription plan and attach it to a customer in one agent loop", "Generate monthly revenue summaries by querying charges and invoices through an agent", "Automate dunning workflows by inspecting failed payment intents and retrying charges" ], "pros": [ "Official Stripe library — kept current with Stripe API changes and new products", "Restricted-key support enables tight per-agent permission scoping", "Works with both MCP hosts (Claude Desktop, Cursor) and non-MCP frameworks (LangChain, Vercel AI SDK)", "Covers the full billing lifecycle: customers, charges, subscriptions, invoices, refunds", "MIT licensed and open source — auditable and forkable for custom tool surfaces" ], "cons": [ "Live-mode API keys require deliberate guardrails to prevent accidental mutations", "Advanced Stripe products (Connect, Radar, Tax) have limited or no tool coverage", "Multi-account or multi-entity setups require per-account key management discipline", "No built-in rate-limit handling — high-volume agent loops can hit Stripe API limits" ], "tags": [ "payments", "billing", "finance", "api", "stripe", "mcp", "official", "subscriptions", "invoices" ], "featured": false, "tier": "curated", "language": [], "addedAt": "2025-01-28", "officialLink": "https://github.com/stripe/agent-toolkit", "relations": { "works_in": [ "cursor", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/stripe" }, { "slug": "stripfeed-mcp-server", "name": "StripFeed/mcp-server", "vendor": "Various", "tagline": "StripFeed/mcp-server — indexed from awesome-mcp-servers-punkpeye", "description": "StripFeed/mcp-server is an open-source MCP (Model Context Protocol) server listed in the awesome-mcp-servers collection. It provides a standard interface for connecting AI assistants to external tools and data sources.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building custom AI tool integrations using the Model Context Protocol", "useCases": [ "Exposing API endpoints as tools for AI agents", "Enabling AI assistants to access structured data", "Building custom MCP-based integrations" ], "pros": [ "Open-source and community-maintained on GitHub", "Implements the Model Context Protocol for interoperability", "Easily integrated into existing MCP workflows" ], "cons": [ "Documentation may vary due to community maintenance", "Limited to MCP-compatible clients and servers", "Potentially fewer built-in features than commercial alternatives" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/StripFeed/mcp-server", "relations": { "works_in": [ "cline", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/stripfeed-mcp-server" }, { "slug": "strowk-mcp-k8s-go", "name": "strowk/mcp-k8s-go", "vendor": "Various", "tagline": "MCP server connecting to Kubernetes", "description": "strowk/mcp-k8s-go is a Go-based server that implements the Model Context Protocol to connect AI assistants to Kubernetes clusters. It exposes cluster resources and state via the MCP standard, enabling external tools to query and interact with Kubernetes.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-assisted Kubernetes monitoring and management tools", "useCases": [ "Query live Kubernetes cluster state from an AI assistant", "Monitor and troubleshoot clusters through natural language interfaces", "Integrate Kubernetes operations into MCP-compatible automation workflows" ], "pros": [ "Written in Go, offering fast startup and low resource usage", "Open source with 382 stars and active community interest", "Follows the MCP standard, enabling interoperability with various AI clients" ], "cons": [ "Requires running a separate server process and MCP client setup", "Limited to Kubernetes clusters accessible via standard kubeconfig", "Capabilities depend on the implementer's extension of MCP resource definitions" ], "tags": [ "kubernetes", "mcp", "server" ], "featured": false, "tier": "curated", "stars": 382, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2025-12-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/strowk/mcp-k8s-go", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "txn2-kubefwd", "dagger-container-use" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/strowk-mcp-k8s-go" }, { "slug": "subdownload-subdownload-mcp", "name": "SubDownload/subdownload-mcp", "vendor": "Various", "tagline": "Public MCP wrapper for SubDownload.Fetch YouTube transcripts, search videos, browse channels and playlists — instant YouTube data for your AI workflow.", "description": "SubDownload/subdownload-mcp is a public Model Context Protocol wrapper for the SubDownload service. It provides functions to fetch YouTube video transcripts, search for videos, and browse channels and playlists, exposing YouTube data to AI workflows via a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI tools that need structured access to YouTube transcripts and video metadata", "useCases": [ "Fetch YouTube video transcripts for analysis or summarization", "Search for YouTube videos by query and retrieve metadata", "Browse channels and playlists to gather video listings" ], "pros": [ "Provides a simple, standardized MCP interface for YouTube data access", "Focuses on transcripts and search, which are common needs in AI tooling", "Written in JavaScript, easy to integrate into Node.js environments" ], "cons": [ "Low star count (3) suggests limited community adoption and potential instability", "Depends on the SubDownload service, which may have its own rate limits or availability issues", "No mention of error handling or authentication details, requiring user trial and error" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/SubDownload/subdownload-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "klavis-ai-youtube" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/subdownload-subdownload-mcp" }, { "slug": "subelsky-bundler-mcp", "name": "subelsky/bundler_mcp", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server enabling AI agents to query information about gems in a Ruby project's Gemfile, including source code and metadata.", "description": "A Model Context Protocol server that lets AI agents query Ruby project dependencies. It reads the Gemfile and provides source code and metadata for each gem using the bundler API.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Ruby developers integrating AI agents with their project dependency management.", "useCases": [ "Inspecting gem dependencies in a Ruby project.", "Retrieving source code for a specific gem.", "Querying gem metadata like version and license." ], "pros": [ "Provides structured access to bundler information via a standard protocol.", "Leverages existing bundler infrastructure for reliable data.", "Open source and straightforward to integrate." ], "cons": [ "Limited to gems listed in Gemfile, not all installed gems.", "Requires a Ruby environment with bundler configured.", "Small community and limited support (19 stars)." ], "tags": [ "bundler", "mcp", "ruby" ], "featured": false, "tier": "curated", "stars": 19, "language": [ "Ruby" ], "license": "MIT", "lastUpdated": "2025-06-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/subelsky/bundler_mcp", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/subelsky-bundler-mcp" }, { "slug": "subhatta123-twilize", "name": "subhatta123/twilize", "vendor": "Various", "tagline": "subhatta123/twilize — indexed from awesome-mcp-servers-punkpeye", "description": "Twilize is an MCP server that integrates Twilio messaging into AI assistants. It allows sending SMS and making calls through the Twilio API via a standardized tool interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to add Twilio messaging to AI assistants quickly", "useCases": [ "Send automated SMS notifications from an AI assistant", "Trigger voice calls for alerts or reminders", "Integrate Twilio messaging into custom AI workflows" ], "pros": [ "Direct Twilio integration without custom API code", "Supports both SMS and voice calls", "Works with any MCP-compatible client" ], "cons": [ "Requires a Twilio account and API credentials", "Limited to Twilio's supported regions and carriers", "No built-in message templating or scheduling" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/subhatta123/twilize", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "lharries-whatsapp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/subhatta123-twilize" }, { "slug": "subnetmarco-pgmcp", "name": "subnetmarco/pgmcp", "vendor": "Various", "tagline": "An MCP server to query any Postgres database in natural language.", "description": "An MCP server that translates natural language queries into SQL for Postgres databases. It uses the Model Context Protocol to accept plain English input and execute corresponding queries. Built in Go, it connects to any Postgres instance with minimal setup.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Teams building MCP-based tools that need natural language access to Postgres databases", "useCases": [ "Query Postgres databases using natural language instead of writing SQL", "Integrate with MCP-compatible clients like AI assistants for database access", "Rapidly explore database contents without knowing the schema" ], "pros": [ "Simplifies database interaction for non-technical users", "Supports any Postgres database without custom configuration", "Built in Go for performance and low resource usage" ], "cons": [ "Limited to Postgres; no support for other database types", "Natural language may produce incorrect or inefficient SQL queries", "Requires an MCP client to interface with the server" ], "tags": [ "agent", "agentic-ai", "ai", "analytics", "artificial-intelligence", "data-analysis", "database", "kong" ], "featured": false, "tier": "curated", "stars": 532, "language": [ "Go" ], "lastUpdated": "2026-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/subnetmarco/pgmcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/subnetmarco-pgmcp" }, { "slug": "sudhan30-freshprobe", "name": "Sudhan30/freshprobe", "vendor": "Various", "tagline": "Data freshness verification for AI agents. Probes endpoints for cache staleness, latency, TLS health, and content changes. CLI + MCP server + HTTP API.", "description": "Freshprobe is a data freshness verification tool for AI agents. It probes endpoints to detect cache staleness, latency, TLS health, and content changes. The tool provides a CLI, an MCP server, and an HTTP API.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "AI agent developers needing automated endpoint freshness monitoring", "useCases": [ "Verifying AI agent data freshness from endpoints", "Monitoring endpoint cache staleness and TLS health", "Detecting content changes and latency issues automatically" ], "pros": [ "Open source and written in Go for performance", "Offers multiple interfaces: CLI, MCP server, and HTTP API", "Focuses on concrete freshness metrics without hype" ], "cons": [ "Zero stars indicates limited community adoption or maturity", "Requires Go toolchain to compile and run (no prebuilt binaries confirmed)", "Potential redundancy with existing monitoring tools" ], "tags": [ "ai-agents", "cli", "data-freshness", "data-quality", "freshness", "golang", "llm", "mcp" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-04-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/Sudhan30/freshprobe", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sudhan30-freshprobe" }, { "slug": "suekou-mcp-notion-server", "name": "suekou/mcp-notion-server", "vendor": "Various", "tagline": "A Model Context Protocol server for connecting Notion to MCP-compatible clients", "description": "This project implements a Model Context Protocol server for Notion. It allows MCP-compatible clients to read and write Notion pages, databases, and blocks. The server acts as a bridge, translating MCP requests into Notion API calls.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or chatbots that need to programmatically access Notion content.", "useCases": [ "Query Notion databases and retrieve records through MCP clients.", "Create new pages and update existing page properties via natural language prompts.", "Integrate Notion as a knowledge base for AI assistants using the MCP protocol." ], "pros": [ "Open source with a strong community following (895 stars).", "Written in TypeScript, making it familiar and extensible for JavaScript/TypeScript developers.", "Provides a standardized MCP interface for Notion, reducing custom integration effort." ], "cons": [ "Requires self-hosting and managing the server process.", "Dependent on Notion API rate limits and availability.", "Limited to the capabilities exposed by the current MCP specification." ], "tags": [ "mcp", "model-context-protocol", "notion", "notion-api", "npm", "typescript" ], "featured": false, "tier": "curated", "stars": 895, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/suekou/mcp-notion-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp", "agent-infra-mcp-server-browser", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/suekou-mcp-notion-server" }, { "slug": "sunflowerslwtech-mcp-creator-growth", "name": "SunflowersLwtech/mcp_creator_growth", "vendor": "Various", "tagline": "🐍 🏠 🍎 🪟 🐧 - Intelligent learning sidecar for AI coding assistants. Helps developers learn from AI-generated code changes through interactive blocking quizzes and provides agen", "description": "This tool is a learning sidecar for AI coding assistants. It helps developers learn from AI-generated code changes through interactive blocking quizzes. Available in Python.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using AI coding assistants who want to reinforce learning from code changes", "useCases": [ "Reinforcing understanding of code changes suggested by AI", "Testing knowledge after accepting AI code modifications", "Adding a learning layer to everyday coding with AI assistants" ], "pros": [ "Interactive quizzes promote active learning from AI code", "The sidecar design integrates easily with existing AI assistants", "Python implementation makes it accessible for many developers" ], "cons": [ "Low GitHub stars (6) indicate limited community adoption", "Blocking quizzes may interrupt the coding flow", "Documentation and support are minimal" ], "tags": [], "featured": false, "tier": "curated", "stars": 6, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-02-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/SunflowersLwtech/mcp_creator_growth", "relations": { "works_in": [ "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sunflowerslwtech-mcp-creator-growth" }, { "slug": "sunriseapps-imagesorcery-mcp", "name": "sunriseapps/imagesorcery-mcp", "vendor": "Various", "tagline": "An MCP server providing tools for image processing operations", "description": "An MCP (Model Context Protocol) server that offers tools for common image processing operations. It is built in Python and allows developers to integrate image manipulation into MCP-compatible workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need programmatic image processing within MCP-based systems or agent workflows", "useCases": [ "Automating image resizing and format conversion in AI pipelines", "Integrating image processing into MCP-enabled applications", "Running batch image operations through a standardized protocol" ], "pros": [ "Lightweight MCP server focused on image operations", "Active GitHub project with 315 stars indicating community interest", "Written in Python, making it easy to extend or modify" ], "cons": [ "Limited to operations exposed through the MCP protocol", "May lack advanced image editing capabilities", "Requires a client that supports the Model Context Protocol" ], "tags": [ "computer-vision", "image-editing", "image-manipulation", "image-processing", "mcp", "mcp-server", "ocr", "opencv" ], "featured": false, "tier": "curated", "stars": 315, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/sunriseapps/imagesorcery-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sunriseapps-imagesorcery-mcp" }, { "slug": "sunsiyuan-human-survey", "name": "sunsiyuan/human-survey", "vendor": "Various", "tagline": "sunsiyuan/human-survey — indexed from awesome-mcp-servers-punkpeye", "description": "A TypeScript MCP server that enables AI agents to request structured survey responses from human users. It is listed in the awesome-mcp-servers collection but has limited documentation and no public stars.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring MCP server examples for human-in-the-loop data collection", "useCases": [ "Collecting structured human feedback via survey forms within an MCP workflow", "Gathering human input for AI-powered decision-making or training data", "Integrating simple human-in-the-loop surveys with MCP clients" ], "pros": [ "Lightweight TypeScript implementation fits into MCP ecosystems", "Open source and publicly available on GitHub", "Straightforward concept for collecting survey responses" ], "cons": [ "No stars or community adoption indicating limited testing or usage", "Lack of clear documentation, examples, or usage instructions", "Unclear maintenance status and long-term viability" ], "tags": [ "ai-agent", "feedback-collection", "mcp", "mcp-server", "survey" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/sunsiyuan/human-survey", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sunsiyuan-human-survey" }, { "slug": "supplymaven-scr-supplymaven-mcp-server", "name": "SupplyMaven-SCR/supplymaven-mcp-server", "vendor": "Various", "tagline": "MCP server for real-time supply chain intelligence — 24 tools: Global Disruption Index, Manufacturing Index, commodity prices, port congestion, border delays, chokepoints, air carg", "description": "The SupplyMaven-SCR/supplymaven-mcp-server is an MCP server that provides real-time supply chain intelligence. It offers 24 tools covering disruption indexes, commodity prices, port congestion, border delays, and other supply chain indicators. It is implemented in JavaScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building supply chain monitoring tools or AI agents needing real-time logistics data", "useCases": [ "Monitor global supply chain disruptions in real time", "Track commodity prices and economic indicators", "Integrate supply chain intelligence into AI assistants via MCP" ], "pros": [ "Broad coverage with 24 specialized tools", "Real-time data for timely decision making", "Open source implementation in JavaScript" ], "cons": [ "Project has 0 stars indicating low community adoption", "Requires an MCP-compatible client to use", "Data reliability depends on external sources not documented" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/SupplyMaven-SCR/supplymaven-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [ "exa-labs-exa-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/supplymaven-scr-supplymaven-mcp-server" }, { "slug": "surescaleai-openai-gpt-image-mcp", "name": "SureScaleAI/openai-gpt-image-mcp", "vendor": "Various", "tagline": "📇 ☁️ - OpenAI GPT image generation/editing MCP server.", "description": "An open-source MCP server that enables AI assistants to generate and edit images via OpenAI's GPT image API. It implements the Model Context Protocol to allow compatible AI tools to call image creation and editing functions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-powered applications that need image generation capabilities", "useCases": [ "Integrating image generation into AI chat workflows", "Automating image creation for content generation", "Enabling AI assistants to edit existing images programmatically" ], "pros": [ "Leverages OpenAI's powerful image generation models", "Easy integration with MCP-compatible AI assistants", "Open source with community contributions" ], "cons": [ "Requires an OpenAI API key and incurs usage costs", "Limited to OpenAI's image models (no support for other providers)", "Dependent on MCP protocol adoption by AI tools" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/SureScaleAI/openai-gpt-image-mcp", "relations": { "works_in": [ "cursor", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/surescaleai-openai-gpt-image-mcp" }, { "slug": "supertrained-rhumb", "name": "supertrained/rhumb", "vendor": "Various", "tagline": "Agent gateway for external tools — Rhumb Index scores services; Rhumb Resolve routes supported capability calls through governed execution rails.", "description": "An agent gateway for external tools. It uses Rhumb Index to score services and Rhumb Resolve to route supported capability calls through governed execution rails.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building agent systems that need controlled, policy-enforced access to external tools", "useCases": [ "Route external tool calls through a governance layer for agents", "Score and select appropriate services for agent capabilities", "Execute tool calls with enforced guardrails and policies" ], "pros": [ "Provides structured governance for external tool access", "Scoring mechanism helps choose the best service for a given capability", "Routing layer enforces consistent execution policies" ], "cons": [ "Very low community adoption (1 star on GitHub)", "Limited documentation and ecosystem beyond the core concept", "May not yet support a wide range of external tools" ], "tags": [ "agent-gateway", "agent-native", "ai-agents", "an-score", "api-evaluation", "api-scoring", "developer-tools", "governed-execution" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/supertrained/rhumb", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/supertrained-rhumb" }, { "slug": "swarmwage-swarmwage", "name": "Swarmwage/swarmwage", "vendor": "Various", "tagline": "The agent hire protocol — one AI agent hires another in USDC on Base via MCP and x402.", "description": "Swarmwage/swarmwage is an experimental protocol that lets one AI agent pay another in USDC on the Base blockchain. It uses the Model Context Protocol (MCP) and x402 for agent-to-agent hiring instructions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with autonomous agent economies and on-chain agent hiring.", "useCases": [ "Enable autonomous agents to subcontract tasks to other agents", "Build decentralized, pay-per-use AI micro-workflows", "Prototype agent marketplaces with on-chain settlement" ], "pros": [ "Novel concept combining agent orchestration with crypto payments", "Open source TypeScript codebase for inspection and extension", "Leverages established standards (MCP, Base, USDC)" ], "cons": [ "Very early stage with only 2 GitHub stars and minimal community", "Dependent on Base chain and USDC availability, limiting portability", "Unproven reliability and security for production use" ], "tags": [ "a2a", "agent-commerce", "agent-hire", "agent-marketplace", "agent-payments", "agent-protocol", "agent-to-agent", "agentic-ai" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/Swarmwage/swarmwage", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/swarmwage-swarmwage" }, { "slug": "sweeppea-development-lab-sweeppea-mcp-info", "name": "Sweeppea-Development-Lab/sweeppea-mcp-info", "vendor": "Various", "tagline": "Public manifest and documentation for the Sweeppea MCP server, including integration metadata and production endpoint information.", "description": "This repository provides the public manifest and documentation for the Sweeppea MCP server. It includes integration metadata and production endpoint information for developers working with the server.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers integrating with the Sweeppea MCP server who need official manifest and endpoint details.", "useCases": [ "Referencing integration metadata when building MCP clients", "Configuring production endpoint connections", "Understanding the Sweeppea MCP server's documentation structure" ], "pros": [ "Publicly available manifest for integration reference", "Provides concrete production endpoint information", "Straightforward documentation for developers" ], "cons": [ "Low community engagement (only 1 star)", "Limited to documentation; no code examples or usage guides", "Dependent on the availability of the Sweeppea MCP server" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/Sweeppea-Development-Lab/sweeppea-mcp-info", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sweeppea-development-lab-sweeppea-mcp-info" }, { "slug": "swih-mistral-mcp", "name": "Swih/mistral-mcp", "vendor": "Various", "tagline": "Full Mistral AI MCP server — OCR, Voxtral audio, Codestral FIM, durable workflows, document extraction — for Claude Code, Cursor, Windsurf, Zed, Mistral Connectors", "description": "An MCP server that exposes Mistral AI capabilities including OCR, Voxtral audio, Codestral Fill-in-the-Middle, durable workflows, and document extraction. Designed to integrate with Claude Code, Cursor, Windsurf, Zed, and Mistral Connectors via the Model Context Protocol written in TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to integrate Mistral AI capabilities into their IDE or MCP-compatible workflow", "useCases": [ "Run document extraction and OCR tasks directly from an IDE or terminal", "Generate or complete code with Codestral FIM during development", "Execute durable workflows and process audio using Voxtral from supported editors" ], "pros": [ "Covers multiple Mistral AI features in one server", "Works with several popular IDEs and coding assistants", "TypeScript codebase makes contributions and customization accessible" ], "cons": [ "Very early stage with only 6 GitHub stars, limited community validation", "No information about stability or ongoing maintenance", "Requires Mistral API key and external dependencies for full functionality" ], "tags": [ "agent-skills", "agent-tools", "claude", "claude-code", "claude-desktop", "codestral", "cursor", "document-ai" ], "featured": false, "tier": "curated", "stars": 6, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/Swih/mistral-mcp", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/swih-mistral-mcp" }, { "slug": "synter-media-ai-mcp-server", "name": "Synter-Media-AI/mcp-server", "vendor": "Various", "tagline": "MCP server for AI agents to manage ad campaigns across Google, Meta, LinkedIn, Microsoft, Reddit, TikTok, and more", "description": "An open-source MCP server that lets AI agents manage ad campaigns across Google, Meta, LinkedIn, Microsoft, Reddit, TikTok, and other platforms. Built in JavaScript, it exposes a set of tools via the Model Context Protocol for programmatic campaign creation, bidding, and reporting.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to automate multi-platform ad campaign management", "useCases": [ "Automating cross-platform ad campaign creation and optimization", "Integrating ad platform APIs into AI agent workflows", "Programmatic bidding and performance monitoring across multiple ad networks" ], "pros": [ "Supports a wide range of major ad platforms out of the box", "Leverages the standard MCP protocol for easy integration with AI agents", "Open source and free to self-host" ], "cons": [ "Very early stage with only 11 GitHub stars and limited community adoption", "Requires self-hosting and managing API credentials for each platform", "Documentation and examples are sparse, making setup more challenging" ], "tags": [], "featured": false, "tier": "curated", "stars": 11, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/Synter-Media-AI/mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/synter-media-ai-mcp-server" }, { "slug": "sxhxliang-mcp-access-point", "name": "sxhxliang/mcp-access-point", "vendor": "Various", "tagline": "Turn a web server into an MCP server in one click without making any code changes.", "description": "This tool converts any existing web server into an MCP server without requiring code changes. It works by proxying HTTP requests through a Rust-based adapter that exposes the server's endpoints as MCP tools. Users can set it up with a single command, making it trivial to integrate legacy or third-party web services into MCP-compatible workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to quickly expose existing web services as MCP tools without modifying source code", "useCases": [ "Expose a REST API as an MCP tool for AI agents", "Integrate legacy web services with MCP clients without rewriting", "Quickly prototype MCP servers from existing HTTP endpoints" ], "pros": [ "No code modifications needed on the target web server", "One-click setup reduces integration friction", "Rust implementation offers low overhead and fast performance" ], "cons": [ "Only works with HTTP-based web servers, not other protocols", "May not handle complex authentication or streaming responses", "Relatively new project with limited community and documentation" ], "tags": [ "gateway", "mcp", "mcp-servers", "proxy" ], "featured": false, "tier": "curated", "stars": 174, "language": [ "Rust" ], "license": "MIT", "lastUpdated": "2026-03-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/sxhxliang/mcp-access-point", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sxhxliang-mcp-access-point" }, { "slug": "system-r-ai-systemr-python", "name": "System-R-AI/systemr-python", "vendor": "Various", "tagline": "Python SDK for agents.systemr.ai. 55 MCP tools, 25 brokers. pip install systemr", "description": "Python SDK for interacting with agents.systemr.ai. It provides 55 MCP tools and 25 brokers to build agent workflows. Install via pip install systemr.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers prototyping agent systems that leverage MCP tools and brokers", "useCases": [ "Build agent workflows with MCP tools", "Orchestrate tasks across 25 brokers", "Integrate agents.systemr.ai into Python applications" ], "pros": [ "Wide selection of pre-built tools (55 MCP tools)", "Easy installation via pip", "Directly connects to agents.systemr.ai backend" ], "cons": [ "Very new project with only 1 star on GitHub", "Limited documentation and community support expected", "Depends on external service agents.systemr.ai" ], "tags": [ "agent-framework", "ai-agents", "algorithmic-trading", "broker-api", "fintech", "mcp", "portfolio-management", "position-sizing" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/System-R-AI/systemr-python", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp", "pydantic-pydantic-ai-mcp-run-python", "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/system-r-ai-systemr-python" }, { "slug": "szhygulin-recon-crypto-mcp", "name": "szhygulin/recon-crypto-mcp", "vendor": "Various", "tagline": "Safety first. Hardware-verified DeFi for AI agents — designed for when the AI can be compromised.", "description": "A TypeScript-based Model Context Protocol (MCP) server that enables AI agents to interact with DeFi protocols using hardware-level verification. It ensures transactions remain safe even when the AI agent is compromised by requiring cryptographic proof from a trusted hardware component.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that execute DeFi operations and prioritize security against agent compromise", "useCases": [ "Secure DeFi transaction execution by AI agents", "Prevent unauthorized token transfers from compromised agents", "Add hardware-backed cryptographic verification to agent-based DeFi workflows" ], "pros": [ "Provides a hardware-rooted trust layer for AI-driven DeFi operations", "Mitigates risks of compromised AI agents", "Open-source TypeScript implementation for easy integration" ], "cons": [ "Requires compatible hardware (e.g., TEE or HSM) which adds deployment complexity", "Limited community adoption and few real-world deployments", "Narrow focus on DeFi may restrict use beyond crypto transactions" ], "tags": [ "aave", "ai-agent", "arbitrum", "claude", "claude-code", "compound", "crypto", "cursor" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "lastUpdated": "2026-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/szhygulin/recon-crypto-mcp", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/szhygulin-recon-crypto-mcp" }, { "slug": "szhygulin-vaultpilot-mcp", "name": "szhygulin/vaultpilot-mcp", "vendor": "Various", "tagline": "Safety first. Hardware-verified DeFi for AI agents — designed for when the AI can be compromised.", "description": "An open-source TypeScript MCP server that provides hardware-verified DeFi operations for AI agents. It is designed to protect funds even if the AI agent itself is compromised, using hardware-level security guarantees.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents for DeFi who need high-assurance security against agent compromise.", "useCases": [ "Secure automated DeFi trading and vault management by AI agents", "Reduce trust assumptions when delegating financial operations to LLM-based agents", "Protect protocol interactions against compromised or adversarial AI behavior" ], "pros": [ "Hardware verification adds a strong security layer beyond typical software-only defenses", "Open source and written in TypeScript, making it accessible for integration", "Specifically designed for the scenario where the AI agent is compromised, addressing a key risk" ], "cons": [ "Very low community traction (3 stars) suggests limited testing and adoption", "Hardware verification may require specific trusted execution environment support, adding deployment complexity", "Likely narrow scope focused only on DeFi, not general agent security" ], "tags": [ "aave", "ai-agent", "arbitrum", "claude", "claude-code", "compound", "crypto", "cursor" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "lastUpdated": "2026-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/szhygulin/vaultpilot-mcp", "relations": { "works_in": [ "claude-code", "cline", "cursor", "aider" ], "uses": [ "docker" ], "built_with": [], "pairs_with": [ "fastmcp", "browsermcp-mcp", "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/szhygulin-vaultpilot-mcp" }, { "slug": "tacticlaunch-mcp-linear", "name": "tacticlaunch/mcp-linear", "vendor": "Various", "tagline": "MCP server that enables AI assistants to interact with Linear project management system through natural language, allowing users to retrieve, create, and update issues, projects, a", "description": "An MCP server that lets AI assistants read and write Linear project data via natural language. Built in TypeScript, it exposes Linear's issues, projects, and teams as tools the assistant can call.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to manage Linear tasks from an AI chat interface", "useCases": [ "Ask an AI to create a Linear issue from a chat message", "Retrieve and summarize project status or team workload", "Update issue priority or assignee through conversation" ], "pros": [ "Direct natural language interface to Linear without manual clicks", "Open source with 135 stars and active TypeScript codebase", "Covers core Linear objects: issues, projects, teams" ], "cons": [ "Requires running an MCP server and configuring the AI client", "Limited to Linear's public API capabilities", "No built-in authentication or access control beyond Linear's API key" ], "tags": [ "claude", "cursor", "linear", "mcp" ], "featured": false, "tier": "curated", "stars": 135, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-03", "addedAt": "2026-06-01", "officialLink": "https://github.com/tacticlaunch/mcp-linear", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tacticlaunch-mcp-linear" }, { "slug": "tactual-dev-tactual", "name": "tactual-dev/tactual", "vendor": "Various", "tagline": "Screen-reader navigation cost analyzer — models the real effort to discover, reach, and operate interactive web content", "description": "Tactual is a TypeScript tool that models the effort required for screen-reader users to discover, reach, and operate interactive web content. It analyzes navigation costs based on accessibility tree structure and interaction sequences.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Frontend developers and accessibility engineers aiming to reduce navigation effort for screen-reader users", "useCases": [ "Audit web pages for screen-reader navigation bottlenecks", "Compare accessibility costs of different UI implementations", "Integrate into CI pipelines to prevent regressions in screen-reader user effort" ], "pros": [ "Provides a quantitative metric for a traditionally qualitative accessibility concern", "Open source and integrates with standard web development tooling", "Models real user effort rather than just checking for static accessibility rules" ], "cons": [ "Still early-stage with no stars or community adoption on GitHub", "Requires understanding of screen-reader interaction patterns to interpret results", "May not cover all disabilities or assistive technologies beyond screen readers" ], "tags": [ "a11y", "accessibility", "aria", "assistive-technology", "mcp", "navigation", "playwright", "sarif" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-05-03", "addedAt": "2026-06-01", "officialLink": "https://github.com/tactual-dev/tactual", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tactual-dev-tactual" }, { "slug": "tadas-github-a2asearch-mcp", "name": "tadas-github/a2asearch-mcp", "vendor": "Various", "tagline": "MCP server for searching AI agents, MCP servers, CLI tools and agent skills via A2ASearch", "description": "This MCP server enables AI assistants to search for AI agents, MCP servers, CLI tools, and agent skills through the A2ASearch platform. Built in JavaScript, it integrates as a tool for querying a directory of developer resources via the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building agentic workflows who need a searchable directory of tools and agents", "useCases": [ "Searching for available AI agents through an AI assistant", "Discovering MCP servers for integration into workflows", "Finding CLI tools or agent skills via conversational queries" ], "pros": [ "Lightweight JavaScript implementation for easy integration", "Works with any MCP-compatible client like Claude", "Searches multiple categories (agents, servers, tools, skills) in one request" ], "cons": [ "Small community surrounding the project (14 stars on GitHub)", "Depends on the coverage and accuracy of the A2ASearch index", "Requires an MCP-compatible client to function" ], "tags": [ "a2asearch", "ai-agents", "claude", "cursor", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 14, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/tadas-github/a2asearch-mcp", "relations": { "works_in": [ "cursor", "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tadas-github-a2asearch-mcp" }, { "slug": "takashiishida-arxiv-latex-mcp", "name": "takashiishida/arxiv-latex-mcp", "vendor": "Various", "tagline": "MCP server that uses arxiv-to-prompt to fetch and process arXiv LaTeX sources for precise interpretation of mathematical expressions in scientific papers.", "description": "This MCP server retrieves LaTeX source files from arXiv and processes them using arxiv-to-prompt. It enables precise interpretation of mathematical expressions in scientific papers. The tool is built in Python.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI tools for scientific literature understanding", "useCases": [ "Extracting LaTeX source from arXiv papers for analysis", "Integrating mathematical expression processing into AI workflows", "Building tools that require accurate parsing of scientific document mathematics" ], "pros": [ "Direct access to LaTeX source preserves math expression fidelity", "Lightweight Python implementation", "Works as an MCP server for easy integration with other tools" ], "cons": [ "Limited to papers available as LaTeX source on arXiv", "Requires arxiv-to-prompt as a dependency", "May not handle all LaTeX packages or custom commands" ], "tags": [ "arxiv", "claude-desktop", "cursor-ai", "latex", "llm", "mcp-server" ], "featured": false, "tier": "curated", "stars": 133, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/takashiishida/arxiv-latex-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/takashiishida-arxiv-latex-mcp" }, { "slug": "takleb3rry-zitadel-mcp", "name": "takleb3rry/zitadel-mcp", "vendor": "Various", "tagline": "MCP server for Zitadel identity management — manage users, projects, apps, roles, and service accounts from AI tools", "description": "An MCP server that exposes Zitadel identity management operations to AI tools. It lets you manage users, projects, apps, roles, and service accounts through a standardized protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Zitadel who want to manage identity resources through AI assistants", "useCases": [ "Provision and deprovision Zitadel users from an AI assistant", "Create and configure projects and applications programmatically", "Assign roles and manage service accounts via natural language" ], "pros": [ "Direct integration with Zitadel's identity platform via MCP", "Written in TypeScript for type safety and easy extension", "Covers core identity management operations in one tool" ], "cons": [ "Small community with only 6 stars, limited support", "Requires a running Zitadel instance to be useful", "No documented authentication or setup instructions in the given facts" ], "tags": [ "ai", "authentication", "authorization", "claude", "iam", "identity", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 6, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/takleb3rry/zitadel-mcp", "relations": { "works_in": [ "cursor", "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/takleb3rry-zitadel-mcp" }, { "slug": "takumi0706-google-calendar-mcp", "name": "takumi0706/google-calendar-mcp", "vendor": "Various", "tagline": "Google Calendar MCP server for Claude Desktop integration", "description": "An MCP server that integrates Google Calendar with Claude Desktop via the Model Context Protocol. It enables Claude to read, create, and manage calendar events through natural language commands. Built in TypeScript, it serves as a bridge between Google's calendar API and the Claude Desktop interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and power users who want to manage Google Calendar via natural language in Claude Desktop", "useCases": [ "Scheduling events and meetings through chat conversations", "Checking calendar availability and upcoming events", "Creating, modifying, or deleting calendar entries on demand" ], "pros": [ "Enables direct calendar management from Claude Desktop without switching apps", "Leverages the full Google Calendar API through a structured MCP interface", "Simple setup for users already comfortable with OAuth and API credentials" ], "cons": [ "Requires setting up Google API credentials and OAuth consent screen", "Dependent on the MCP protocol and Claude Desktop (not usable standalone)", "Limited to the features exposed by the current MCP server implementation" ], "tags": [], "featured": false, "tier": "curated", "stars": 56, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-10-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/takumi0706/google-calendar-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "eyaltoledano-claude-task-master", "elie222-inbox-zero" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/takumi0706-google-calendar-mcp" }, { "slug": "tamarengel-jira-github-mcp", "name": "TamarEngel/jira-github-mcp", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server exposing Jira and GitHub actions as AI tools to streamline developer workflows end-to-end.", "description": "A Model Context Protocol (MCP) server that exposes Jira and GitHub actions as tools for AI agents. It enables developers to query, create, and update Jira issues and GitHub repositories via natural language commands from an MCP-compatible assistant.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to control Jira and GitHub through an MCP-compatible AI assistant", "useCases": [ "Automate Jira issue creation and status updates from an AI chat", "Query GitHub repository information and pull requests through an agent", "Link Jira tasks to GitHub branches or commits using natural language" ], "pros": [ "Directly integrates two major project management and code hosting platforms", "Open source Python implementation is easy to customize or extend", "Works with any MCP-compatible AI client, not tied to a specific provider" ], "cons": [ "Very low community adoption (1 star) means limited real-world testing", "Requires local server setup and an MCP-enabled AI client to be useful", "Documentation likely minimal due to early stage" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-01-09", "addedAt": "2026-06-01", "officialLink": "https://github.com/TamarEngel/jira-github-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tamarengel-jira-github-mcp" }, { "slug": "talonicdev-talonic-mcp", "name": "talonicdev/talonic-mcp", "vendor": "Various", "tagline": "Official Talonic MCP server. Lets AI agents extract structured data from any document via the Model Context Protocol.", "description": "An official MCP server that enables AI agents to extract structured data from any document using the Model Context Protocol. It is built in TypeScript and provides a standardized interface for document parsing.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to extract structured data from unstructured documents", "useCases": [ "Extract fields from invoices or receipts", "Parse resumes into structured profiles", "Pull key data from contracts or agreements" ], "pros": [ "Leverages the Model Context Protocol for agent interoperability", "TypeScript codebase for type safety and developer familiarity", "Focused on structured data extraction from diverse document types" ], "cons": [ "Low star count (4) suggests limited community adoption or maturity", "Requires an MCP-compatible AI agent to function", "Documentation and examples may be sparse" ], "tags": [], "featured": false, "tier": "curated", "stars": 4, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/talonicdev/talonic-mcp", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "microsoft-markitdown" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/talonicdev-talonic-mcp" }, { "slug": "tamishaks-2-git-context-mcp", "name": "TamiShaks-2/git-context-mcp", "vendor": "Various", "tagline": "Local MCP server that extracts high-level Git repository context for AI coding agents", "description": "Local MCP server that extracts high-level Git repository context for AI coding agents. It provides repository structure and history data to AI tools through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building custom AI coding agents that need structured Git repository context", "useCases": [ "Supply git commit history and diffs to AI coding assistants", "Give AI agents structured context about repository branches and files", "Integrate with MCP-compatible development tools for automated code review" ], "pros": [ "Runs locally, preserving code privacy and security", "Lightweight Python implementation makes it easy to inspect and customize", "Focused on high-level Git context without unnecessary complexity" ], "cons": [ "Very early stage project with only 2 stars on GitHub", "Limited community support and documentation", "Depends on the evolving MCP ecosystem for full functionality" ], "tags": [ "ai-coding-agents", "developer-tools", "git", "mcp", "model-context-protocol", "python", "static-analysis" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "lastUpdated": "2026-01-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/TamiShaks-2/git-context-mcp", "relations": { "works_in": [ "aider", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tamishaks-2-git-context-mcp" }, { "slug": "tan-yong-sheng-ai-vision-mcp", "name": "tan-yong-sheng/ai-vision-mcp", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server that provides vision capabilities to analyze image and video", "description": "A Model Context Protocol (MCP) server that adds vision capabilities to analyze images and video. It is written in TypeScript and integrates with MCP-compatible clients to enable visual data processing within AI workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based applications that need basic image and video analysis", "useCases": [ "Extract content from images via MCP-based agents", "Analyze video frames for object or scene detection", "Integrate vision analysis into existing MCP toolchains" ], "pros": [ "Open source and free to use", "Written in TypeScript for type safety and maintainability", "Provides vision functionality within the MCP ecosystem" ], "cons": [ "Limited community adoption (54 stars) may indicate fewer resources or slower updates", "Requires an MCP-compatible client or host to function", "Vision capabilities may be less comprehensive than dedicated vision APIs" ], "tags": [], "featured": false, "tier": "curated", "stars": 54, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/tan-yong-sheng/ai-vision-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tan-yong-sheng-ai-vision-mcp" }, { "slug": "tanigami-mcp-server-perplexity", "name": "tanigami/mcp-server-perplexity", "vendor": "Various", "tagline": "🐍 ☁️ - Interacting with Perplexity API.", "description": "This is a Python-based MCP server that provides a bridge for applications to interact with the Perplexity API via the Model Context Protocol. It manages API authentication and formats requests so that MCP-compatible clients can send queries and receive responses from Perplexity's language models.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based applications that need to leverage Perplexity's AI for real-time queries or research.", "useCases": [ "Integrating Perplexity AI into MCP-compatible chat or research tools", "Building a custom assistant that queries Perplexity for up-to-date information", "Automating API calls from applications that support the Model Context Protocol" ], "pros": [ "Straightforward setup for any MCP-compatible environment", "Gives access to Perplexity's search-enhanced AI through a standard protocol", "Open-source with a small but active community (92 stars)" ], "cons": [ "Requires a Perplexity API key and incurs usage costs", "Dependent on network connectivity and Perplexity API uptime", "Limited to the capabilities and knowledge cutoff of Perplexity's models" ], "tags": [], "featured": false, "tier": "curated", "stars": 92, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2024-12-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/tanigami/mcp-server-perplexity", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp", "agent-infra-mcp-server-browser", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tanigami-mcp-server-perplexity" }, { "slug": "taniwhaai-arai", "name": "taniwhaai/arai", "vendor": "Various", "tagline": "AI coding rules that actually work. Enforce instruction files via hooks — CLAUDE.md, .cursorrules, copilot-instructions, and more.", "description": "A Rust-based tool that enforces AI coding instruction files across multiple assistants using pre-commit hooks. It manages rules for CLAUDE.md, .cursorrules, copilot-instructions and similar files to ensure consistent behavior.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want consistent AI coding rules across Claude, Cursor, and Copilot", "useCases": [ "Standardize AI assistant instructions across a team", "Enforce project-specific coding rules via hooks", "Sync rule files for Claude, Cursor, and GitHub Copilot" ], "pros": [ "Lightweight Rust binary with no heavy dependencies", "Centralizes rule management for multiple AI tools", "Uses standard pre-commit hooks for easy integration" ], "cons": [ "Very early-stage project with only 5 GitHub stars", "Limited documentation or community support", "Requires manual setup of hook scripts" ], "tags": [ "ai-guardrails", "claude-code", "cli", "code-quality", "copilot", "cursor-rules", "developer-tools", "grok" ], "featured": false, "tier": "curated", "stars": 5, "language": [ "Rust" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/taniwhaai/arai", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "cursor", "claude-code" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/taniwhaai-arai" }, { "slug": "tao-izm-devpulse-mcp", "name": "tao-izm/devpulse-mcp", "vendor": "Various", "tagline": "Zero-config MCP server that gives AI coding assistants a real-time diagnostic snapshot of your dev environment", "description": "A zero-config MCP server that provides AI coding assistants with real-time diagnostic snapshots of the development environment. It exposes system state and project context via the Model Context Protocol, enabling assistants to make informed decisions without manual setup.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based integrations that need live environment context for AI coding assistants", "useCases": [ "Integrating real-time dev environment diagnostics into AI coding workflows", "Providing AI assistants with current system state for context-aware code generation", "Simplifying setup of MCP-based tools for developer environment monitoring" ], "pros": [ "Zero configuration required to start collecting environment diagnostics", "Real-time data delivery improves AI assistant context awareness", "Lightweight TypeScript implementation designed for developer tooling" ], "cons": [ "Zero stars on GitHub indicates limited community adoption or testing", "Depends on Model Context Protocol compatibility which not all AI assistants support", "Diagnostic scope limited to current snapshot, not historical or trend analysis" ], "tags": [ "ai", "claude", "developer-tools", "mcp", "nodejs" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "lastUpdated": "2026-05-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/tao-izm/devpulse-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tao-izm-devpulse-mcp" }, { "slug": "tantiope-datadog-mcp-server", "name": "TANTIOPE/datadog-mcp-server", "vendor": "Various", "tagline": "MCP server providing AI assistants with full Datadog observability access.", "description": "A TypeScript MCP server that gives AI assistants read and write access to Datadog observability data. It exposes Datadog's API through the Model Context Protocol, enabling automated monitoring queries and incident management.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Teams using Datadog who want to automate observability tasks through AI assistants", "useCases": [ "Query Datadog metrics and logs from an AI coding assistant", "Create and update Datadog monitors programmatically", "Trigger incident responses based on AI analysis of observability data" ], "pros": [ "Direct integration with Datadog's full API surface", "TypeScript codebase is easy to extend or audit", "Low overhead for teams already using MCP-based tools" ], "cons": [ "Requires Datadog API keys and proper permissions to configure", "Limited to Datadog's API rate limits and data retention policies", "No built-in caching or batching for high-frequency queries" ], "tags": [], "featured": false, "tier": "curated", "stars": 4, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/TANTIOPE/datadog-mcp-server", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tantiope-datadog-mcp-server" }, { "slug": "tasopen-mcp-alphabanana", "name": "tasopen/mcp-alphabanana", "vendor": "Various", "tagline": "A local MCP server for generating image assets using Google Gemini AI (Nano Banana 2 / Pro). Enable transparency and resize.", "description": "A local MCP server that generates image assets using Google Gemini AI models (Nano Banana 2 / Pro). It supports transparency and resizing of generated images. The server runs locally and exposes tools for integration into development workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need local image generation with transparency and resize support using Gemini models", "useCases": [ "Generate transparent PNG icons for UI components", "Create resized image assets for web or mobile projects", "Prototype visuals using Gemini models without external API calls" ], "pros": [ "Runs locally for privacy and offline capability", "Supports transparency and resizing out of the box", "Leverages Gemini models for image generation" ], "cons": [ "Low community adoption (6 stars) indicates early stage", "Requires a Google Gemini API key to function", "Limited to specific Gemini models (Nano Banana 2 / Pro)" ], "tags": [ "ai-image-generation", "gemini-3-1-flash-image", "gemini-api", "mcp", "model-context-protocol", "nano-banana", "nano-banana-2", "nano-banana-pro" ], "featured": false, "tier": "curated", "stars": 6, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/tasopen/mcp-alphabanana", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tasopen-mcp-alphabanana" }, { "slug": "tatsuju-opdstar-nhi-mcp", "name": "tatsuju/opdstar-nhi-mcp", "vendor": "Various", "tagline": "Taiwan National Health Insurance (NHI) data for AI agents via Model Context Protocol. Powered by OPDSTAR (https://opdstar.com).", "description": "A Model Context Protocol server that provides AI agents with access to Taiwan National Health Insurance (NHI) data. It uses TypeScript and is built on the OPDSTAR platform to deliver structured NHI information to compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to query Taiwan National Health Insurance data", "useCases": [ "Querying NHI drug reimbursement codes and pricing", "Retrieving NHI medical service fee schedules", "Integrating NHI data into AI-assisted clinical decision tools" ], "pros": [ "Direct access to official NHI data through a standardized protocol", "TypeScript implementation for type safety and easy integration", "Leverages the OPDSTAR platform for reliable data sourcing" ], "cons": [ "Limited to Taiwan NHI data only, not applicable to other regions", "Requires an MCP-compatible client to function", "No community traction yet (0 stars on GitHub)" ], "tags": [ "anthropic", "claude", "healthcare", "mcp", "mcp-server", "model-context-protocol", "nhi", "taiwan" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/tatsuju/opdstar-nhi-mcp", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tatsuju-opdstar-nhi-mcp" }, { "slug": "tatumio-blockchain-mcp", "name": "tatumio/blockchain-mcp", "vendor": "Various", "tagline": "☁️ - MCP server for Blockchain Data. It provides access to Tatum's blockchain API across 130+ networks with tools including RPC Gateway and Blockchain Data insights.", "description": "MCP server that exposes Tatum's blockchain API as tools. It supports over 130 networks and includes an RPC Gateway and data insights.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based tools that need multi-chain blockchain data access", "useCases": [ "Query blockchain data across multiple networks via MCP", "Execute RPC calls through the gateway tool", "Integrate blockchain data insights into MCP-based applications" ], "pros": [ "Covers over 130 blockchain networks in one server", "Combines RPC gateway and data insights in a single MCP interface", "Written in TypeScript for type safety and easy integration" ], "cons": [ "Low GitHub stars (14) indicate limited community adoption", "Depends on Tatum's third-party API, adding a potential external dependency", "Documentation and examples may be sparse given the early stage" ], "tags": [], "featured": false, "tier": "curated", "stars": 14, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/tatumio/blockchain-mcp", "relations": { "works_in": [ "cline", "claude-code", "cursor", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tatumio-blockchain-mcp" }, { "slug": "taylorwilsdon-google-workspace-mcp", "name": "taylorwilsdon/google_workspace_mcp", "vendor": "Various", "tagline": "Control Gmail, Google Calendar, Docs, Sheets, Slides, Chat, Forms, Tasks, Search & Drive with AI - Comprehensive Google Workspace / G Suite MCP Server & CLI Tool", "description": "A Python-based MCP server and CLI tool that lets AI agents control Gmail, Google Calendar, Docs, Sheets, Slides, Chat, Forms, Tasks, and Drive. It exposes Google Workspace APIs through the Model Context Protocol for integration with compatible AI assistants.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need direct control over Google Workspace services", "useCases": [ "Automate email drafting, sending, and inbox management via AI agents", "Create, update, and query Google Calendar events programmatically", "Read and write Google Docs, Sheets, and Slides through natural language commands" ], "pros": [ "Covers nearly all major Google Workspace services in one tool", "Well-documented with 2,500+ GitHub stars indicating community trust", "Works as both a CLI tool and an MCP server for flexible integration" ], "cons": [ "Requires Google API credentials and OAuth setup, which can be complex", "Limited to Python runtime and MCP-compatible AI clients", "May hit Google API rate limits under heavy automated usage" ], "tags": [ "ai", "g-suite", "gmail", "google-calendar", "google-chat", "google-docs", "google-drive", "google-forms" ], "featured": false, "tier": "curated", "stars": 2528, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/taylorwilsdon/google_workspace_mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/taylorwilsdon-google-workspace-mcp" }, { "slug": "teamsafeai-life", "name": "TeamSafeAI/LIFE", "vendor": "Various", "tagline": "LIFE — Persistent identity architecture for AI agents. 16 MCP servers: drives, heart, memory, patterns, journal, genesis, garden, vision, voice, and more. Zero dependencies. Built", "description": "LIFE is a persistent identity architecture for AI agents, implemented as 16 MCP servers covering drives, heart, memory, patterns, journal, genesis, garden, vision, voice, and more. It runs with zero dependencies and was built across 938 conversations.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building persistent, identity-driven AI agents in Python", "useCases": [ "Give an AI agent a persistent memory and identity across sessions", "Build modular agent subsystems using separate MCP servers", "Experiment with long-running agent architectures in Python" ], "pros": [ "Zero dependencies simplifies deployment and reduces conflicts", "Modular MCP server design allows selective use of components", "Built from extensive real-world conversation data" ], "cons": [ "Limited documentation or community support outside the original conversations", "16 servers may be overkill for simple agent tasks", "Python-only limits integration with non-Python stacks" ], "tags": [ "agent-architecture", "agent-framework", "agent-memory", "ai-agent", "ai-agents", "ai-consciousness", "claude", "identity" ], "featured": false, "tier": "curated", "stars": 5, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-02-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/TeamSafeAI/LIFE", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/teamsafeai-life" }, { "slug": "tcsoftinc-testcollab-mcp-server", "name": "TCSoftInc/testcollab-mcp-server", "vendor": "Various", "tagline": "MCP server for TestCollab test management. Lets AI coding assistants (Claude Code, Cursor, Windsurf, Codex) create, update, and query test cases, create test plans, and suite hiera", "description": "An MCP server that integrates TestCollab test management with AI coding assistants like Claude Code, Cursor, Windsurf, and Codex. It enables creating, updating, and querying test cases, test plans, and suite hierarchies directly from an AI workflow.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Teams using TestCollab who want to manage QA tasks through AI coding assistants", "useCases": [ "Create and update test cases via natural language prompts", "Query test plans and suite structures through AI assistants", "Automate test management tasks during code development" ], "pros": [ "Works with multiple popular AI coding assistants", "Connects test management directly into development workflows", "Open source TypeScript implementation" ], "cons": [ "Low GitHub stars suggest limited community adoption", "Requires a TestCollab account and API access", "Only useful for teams already using TestCollab" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "lastUpdated": "2026-03-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/TCSoftInc/testcollab-mcp-server", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tcsoftinc-testcollab-mcp-server" }, { "slug": "teamwork-mcp", "name": "teamwork/mcp", "vendor": "Various", "tagline": "Teamwork.com MCP server", "description": "A Go-based MCP server that exposes Teamwork.com project management data to AI agents via the Model Context Protocol. It allows agents to read and interact with tasks, projects, and other resources from a Teamwork account.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need to access Teamwork.com project data", "useCases": [ "Querying project tasks and statuses from an AI assistant", "Automating project updates through natural language commands", "Integrating Teamwork data into custom AI workflows" ], "pros": [ "Lightweight Go implementation with minimal dependencies", "Direct integration with Teamwork.com's API", "Open source with a permissive license" ], "cons": [ "Limited to read and basic write operations based on Teamwork API capabilities", "Small community and low star count may indicate limited adoption", "Requires self-hosting and configuration of MCP client" ], "tags": [ "ai", "artificial-intelligence", "mcp", "mcp-server", "mcp-tools", "teamwork" ], "featured": false, "tier": "curated", "stars": 21, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/teamwork/mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "sooperset-mcp-atlassian" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/teamwork-mcp" }, { "slug": "techdocsstudio-biel-mcp", "name": "TechDocsStudio/biel-mcp", "vendor": "Various", "tagline": "Connect AI tools like Cursor, VS Code, and Claude to your product docs.", "description": "TechDocsStudio/biel-mcp is a Python-based MCP (Model Context Protocol) server that connects AI development tools such as Cursor, VS Code, and Claude to product documentation. It enables these tools to retrieve and use relevant documentation content during coding or chat sessions without manual searches.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Development teams using AI coding assistants that need fast, in-editor access to their product documentation", "useCases": [ "Pulling product documentation into AI assistants for context-aware code generation", "Answering developer questions by querying internal docs directly from the IDE", "Embedding documentation references into AI tool responses during code review" ], "pros": [ "Open-source and Python-based, making it straightforward to extend or customize", "Works with multiple popular AI tools and IDEs through the MCP standard", "Reduces context switching by bringing documentation into the coding environment" ], "cons": [ "Low GitHub star count (2) suggests limited community adoption and testing", "Vendor listed as 'Various' implies no dedicated maintainer or support channel", "Requires documentation to be accessible and structured for MCP integration" ], "tags": [ "chatbot", "docs", "documentation", "docusaurus", "rag", "rag-as-a-service", "sphinx" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/TechDocsStudio/biel-mcp", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/techdocsstudio-biel-mcp" }, { "slug": "teddyzxcv-ntfy-mcp", "name": "teddyzxcv/ntfy-mcp", "vendor": "Various", "tagline": "The MCP server that keeps you informed by sending the notification on phone using ntfy", "description": "This is a Model Context Protocol server that sends push notifications to a phone using the ntfy service. It enables AI agents or other MCP clients to trigger alerts or updates directly to a mobile device.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to add phone notifications to their MCP-based AI workflows", "useCases": [ "Receive notifications from AI agents on your phone", "Get alerted when long-running tasks complete", "Integrate ntfy notifications into MCP-compatible workflows" ], "pros": [ "Simple integration with MCP-compatible clients", "Leverages ntfy's free and open-source notification service", "Lightweight JavaScript implementation" ], "cons": [ "Requires running an MCP client and ntfy server setup", "Limited to ntfy's notification capabilities (no rich formatting beyond text)", "Small community and limited documentation (44 stars suggests early stage)" ], "tags": [], "featured": false, "tier": "curated", "stars": 44, "language": [ "JavaScript" ], "license": "Apache-2.0", "lastUpdated": "2025-03-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/teddyzxcv/ntfy-mcp", "relations": { "works_in": [ "cursor", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/teddyzxcv-ntfy-mcp" }, { "slug": "temporal-cortex-mcp", "name": "temporal-cortex/mcp", "vendor": "Various", "tagline": "Calendar MCP server with atomic booking, conflict prevention, deterministic RRULE expansion, and TOON token compression for AI agents", "description": "This is a Calendar MCP server for AI agents. It provides atomic booking, conflict prevention, deterministic RRULE expansion, and TOON token compression. The server is deployed using Docker.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need reliable calendar management", "useCases": [ "Integrating calendar booking into AI agents", "Scheduling meetings with automatic conflict checks", "Handling recurrent events with deterministic expansion" ], "pros": [ "Atomic booking ensures all-or-nothing consistency", "Conflict prevention avoids double-booking", "Deterministic RRULE expansion eliminates ambiguity in recurring events" ], "cons": [ "Low star count indicates limited community adoption", "Dockerfile deployment may require containerization knowledge", "Scope may be narrow for general calendar use cases" ], "tags": [ "ai", "booking", "calendar", "google-calendar", "llm", "mcp", "mcp-server", "rrule" ], "featured": false, "tier": "curated", "stars": 9, "language": [ "Dockerfile" ], "license": "MIT", "lastUpdated": "2026-04-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/temporal-cortex/mcp", "relations": { "works_in": [], "uses": [ "docker" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/temporal-cortex-mcp" }, { "slug": "tencentcloudbase-cloudbase-ai-toolkit", "name": "TencentCloudBase/CloudBase-AI-ToolKit", "vendor": "Various", "tagline": "CloudBase MCP - Connect CloudBase to your AI Agent. Go from AI prompt to live app.", "description": "CloudBase-AI-ToolKit is an open-source TypeScript library that connects Tencent CloudBase to AI agents using the Model Context Protocol (MCP). It enables developers to go from an AI prompt to a live application by bridging agent requests with cloud backend services.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-driven applications on Tencent Cloud who want to turn prompts into deployed apps quickly.", "useCases": [ "Rapidly prototype full-stack apps from natural language prompts", "Integrate AI agents with CloudBase's serverless functions and databases", "Build MCP-compatible tools that deploy directly to Tencent Cloud" ], "pros": [ "Open source with over 1,000 stars and active community", "Leverages the MCP standard for interoperability with many AI agents", "Written in TypeScript for type safety and developer experience" ], "cons": [ "Tied to Tencent CloudBase ecosystem, limiting portability", "Requires a CloudBase account and familiarity with Tencent Cloud services", "MCP is still an emerging protocol, so agent compatibility may vary" ], "tags": [ "ai", "aicoding", "cloudbase", "cursor", "mcp", "miniprogram", "serverless", "supabase" ], "featured": false, "tier": "curated", "stars": 1029, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/TencentCloudBase/CloudBase-AI-ToolKit", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tencentcloudbase-cloudbase-ai-toolkit" }, { "slug": "tencentedgeone-edgeone-pages-mcp", "name": "TencentEdgeOne/edgeone-pages-mcp", "vendor": "Various", "tagline": "An MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.", "description": "An MCP (Model Context Protocol) service that deploys static HTML content to Tencent EdgeOne Pages and returns an accessible public URL. It integrates with MCP-compatible clients for one-step deployment of web content.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using MCP clients to quickly deploy static HTML and obtain a public URL", "useCases": [ "Deploy HTML snippets or pages for testing or sharing", "Host static web content generated by AI agents", "Create temporary public URLs for web previews" ], "pros": [ "Simple one-step deployment from any MCP client", "Instantly provides a publicly accessible URL", "Works with any MCP-compatible workflow or assistant" ], "cons": [ "Tied to Tencent EdgeOne infrastructure; not portable", "Only supports static HTML, no server-side logic", "Requires MCP protocol support, limiting non-MCP use" ], "tags": [], "featured": false, "tier": "curated", "stars": 419, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/TencentEdgeOne/edgeone-pages-mcp", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tencentedgeone-edgeone-pages-mcp" }, { "slug": "teolex2020-aurasdk", "name": "teolex2020/AuraSDK", "vendor": "Various", "tagline": "Cognitive memory for AI agents. Pure Rust, <1ms recall, 2.7MB, zero cloud. Patent Pending.", "description": "AuraSDK provides cognitive memory for AI agents as a pure Rust library. It supports sub-millisecond recall, weighs 2.7MB, and runs entirely offline with no cloud dependency. The project is patent pending as of its last update.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building privacy-focused, local AI agents in Rust who need minimal latency memory", "useCases": [ "Embedding fast memory recall into local AI agents", "Building privacy-preserving agent workflows without cloud latency", "Lightweight memory layer for resource-constrained Rust-based agents" ], "pros": [ "Extremely fast recall under 1ms for real-time agent interactions", "Zero cloud dependencies ensure privacy and offline operation", "Small footprint (2.7MB) ideal for edge or embedded deployments" ], "cons": [ "Early stage with only 69 GitHub stars, limited community or third-party support", "Only available in Rust, narrowing integration for non-Rust agent stacks", "Patent pending may impose future licensing constraints" ], "tags": [ "agent", "ai", "ai-agents", "cognitive", "embedded", "encryption", "llm", "memory" ], "featured": false, "tier": "curated", "stars": 69, "language": [ "Rust" ], "license": "MIT", "lastUpdated": "2026-05-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/teolex2020/AuraSDK", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "topoteretes-cognee" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/teolex2020-aurasdk" }, { "slug": "testdino-hq-testdino-mcp", "name": "testdino-hq/testdino-mcp", "vendor": "Various", "tagline": "A MCP server that bridges TestDino with AI agents such as Cursor and Claude. Navigate test results, analyze failures, and manage test cases through conversational commands.", "description": "A MCP server that connects TestDino to AI agents such as Cursor and Claude. Users can navigate test results, analyze failures, and manage test cases through conversational commands.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using TestDino who want to interact with test results through AI chat interfaces", "useCases": [ "Navigating test results via conversation", "Analyzing test failures with AI agents", "Managing test cases through chat commands" ], "pros": [ "Enables natural language interaction with test data", "Integrates with popular AI agents like Cursor and Claude", "Reduces context switching by allowing test management from chat" ], "cons": [ "Requires TestDino as a dependency", "Limited adoption with only 7 GitHub stars", "Dependent on MCP ecosystem maturity" ], "tags": [], "featured": false, "tier": "curated", "stars": 7, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/testdino-hq/testdino-mcp", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/testdino-hq-testdino-mcp" }, { "slug": "test-mcp-server", "name": "test-mcp-server", "vendor": "ai.alpic.test", "tagline": "Alpic Test MCP Server - great server!", "description": "Alpic Test MCP Server is a Model Context Protocol server designed for testing and development. It provides a standardized interface for AI tools to interact with test environments. The server is hosted at test.alpic.ai and is part of the Alpic ecosystem.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a lightweight MCP server for testing AI tool integrations", "useCases": [ "Running automated tests for MCP-based AI integrations", "Simulating AI tool interactions in a controlled test environment", "Validating MCP protocol compliance during development" ], "pros": [ "Simple setup for testing MCP workflows", "Standardized protocol reduces integration friction", "Free to use for development and testing" ], "cons": [ "Limited documentation and community support", "No production-grade reliability guarantees", "Only suitable for non-critical test scenarios" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://test.alpic.ai/", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/test-mcp-server" }, { "slug": "tevonsb-homeassistant-mcp", "name": "tevonsb/homeassistant-mcp", "vendor": "Various", "tagline": "A MCP server for Home Assistant", "description": "An MCP server that enables AI assistants to interact with Home Assistant. It exposes Home Assistant entities, states, and services through the Model Context Protocol, allowing assistants to query and control smart home devices.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers integrating AI assistants with Home Assistant for smart home control and automation", "useCases": [ "Controlling lights, switches, and other devices via natural language commands", "Automating routines by having an AI monitor and trigger Home Assistant services", "Querying sensor states and history for context-aware responses" ], "pros": [ "Lightweight open-source TypeScript implementation with clear code", "Works with any MCP-compatible AI assistant (e.g., Claude)", "Actively maintained with 575 GitHub stars" ], "cons": [ "Requires a running MCP client and Home Assistant instance to function", "Limited to Home Assistant's capabilities; no support for other smart home platforms", "Setup involves manual configuration of MCP endpoint and authentication" ], "tags": [], "featured": false, "tier": "curated", "stars": 575, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-01-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/tevonsb/homeassistant-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tevonsb-homeassistant-mcp" }, { "slug": "tgeselle-bugsnag-mcp", "name": "tgeselle/bugsnag-mcp", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server for interacting with Bugsnag. This server allows LLM tools like Cursor and Claude to investigate and resolve issues in Bugsnag.", "description": "A Model Context Protocol (MCP) server that integrates Bugsnag error monitoring with LLM tools. It enables AI assistants like Cursor and Claude to explore Bugsnag issues, retrieve error details, and assist in debugging directly from a chat interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who use Bugsnag and want AI-assisted debugging via Cursor or Claude", "useCases": [ "Investigate production errors by having the assistant fetch Bugsnag error reports", "Triage issues by querying error frequency and stack traces", "Resolve bugs with context from Bugsnag without leaving the code editor" ], "pros": [ "Leverages existing Bugsnag data without switching contexts", "Enables AI-driven error investigation in real time", "Lightweight MCP server easy to set up" ], "cons": [ "Requires a Bugsnag account and API key", "Limited to features exposed by Bugsnag's API", "Community tool with few contributors (23 stars)" ], "tags": [], "featured": false, "tier": "curated", "stars": 23, "language": [ "API Blueprint" ], "lastUpdated": "2026-03-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/tgeselle/bugsnag-mcp", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tgeselle-bugsnag-mcp" }, { "slug": "the-momentum-apple-health-mcp-server", "name": "the-momentum/apple-health-mcp-server", "vendor": "Various", "tagline": "MCP server for querying Apple Health data with natural language using DuckDB under the hood.", "description": "An MCP server that enables natural language querying of Apple Health data. It uses DuckDB as the underlying database engine for efficient local query processing.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building personal health analytics tools or AI agents that need to query Apple Health data naturally", "useCases": [ "Query personal health metrics using plain English questions", "Integrate Apple Health data into AI agent workflows and dashboards", "Analyze trends in step count, heart rate, sleep, or other recorded metrics" ], "pros": [ "Lets you explore health data conversationally without writing SQL", "Fast local analysis thanks to DuckDB's columnar engine", "Open source with 200 stars and active development" ], "cons": [ "Requires manual export of Apple Health data (no live sync)", "Limited to data already recorded in Apple Health on iOS devices", "Dependent on the MCP ecosystem and Python runtime to operate" ], "tags": [ "apple", "apple-health", "applehealth", "health", "healthcare", "healthcare-application", "healthtech", "mcp-server" ], "featured": false, "tier": "curated", "stars": 200, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-02-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/the-momentum/apple-health-mcp-server", "relations": { "works_in": [ "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/the-momentum-apple-health-mcp-server" }, { "slug": "the-momentum-fhir-mcp-server", "name": "the-momentum/fhir-mcp-server", "vendor": "Various", "tagline": "FHIR MCP Server for handling medical data standard.", "description": "A Python-based MCP server that exposes FHIR (Fast Healthcare Interoperability Resources) medical data operations through the Model Context Protocol. It allows AI agents to query, create, and update healthcare records using standard FHIR APIs.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to interact with FHIR-based electronic health records.", "useCases": [ "Integrate FHIR-compliant health data into AI assistant workflows", "Enable natural language queries over patient records and clinical resources", "Automate healthcare data entry and retrieval via MCP-compatible clients" ], "pros": [ "Leverages the widely adopted FHIR standard for healthcare data exchange", "Lightweight Python implementation with 86 GitHub stars and active maintenance", "Works with any MCP client, enabling flexible AI agent integration" ], "cons": [ "Requires a running FHIR server or endpoint to function", "Limited to FHIR R4 capabilities; may not support all custom extensions", "Small community and documentation compared to larger healthcare tools" ], "tags": [ "ehr", "fhir", "healthcare", "healthcare-applications", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 86, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-10-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/the-momentum/fhir-mcp-server", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/the-momentum-fhir-mcp-server" }, { "slug": "the0807-geeknews-mcp-server", "name": "the0807/GeekNews-MCP-Server", "vendor": "Various", "tagline": "📰 GeekNews MCP Server", "description": "An MCP server that exposes GeekNews content through the Model Context Protocol, allowing AI assistants to fetch and read tech news articles. It wraps the GeekNews API in a standardized interface for tool-calling models.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need curated tech news from GeekNews", "useCases": [ "Retrieve latest tech news headlines for AI assistant responses", "Fetch article summaries or full content from GeekNews", "Integrate tech news into AI-powered workflows or chatbots" ], "pros": [ "Simple Python implementation with clear MCP integration", "Lightweight and easy to deploy or extend", "Direct access to curated tech news without scraping" ], "cons": [ "Limited to GeekNews content only, not a general news source", "Small community (16 stars) with minimal documentation", "Requires MCP-compatible client or framework to use" ], "tags": [], "featured": false, "tier": "curated", "stars": 16, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-04-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/the0807/GeekNews-MCP-Server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "exa-labs-exa-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/the0807-geeknews-mcp-server" }, { "slug": "the402ai-mcp-server", "name": "the402ai/mcp-server", "vendor": "Various", "tagline": "MCP server for the402.ai — AI agent service marketplace. Browse services, purchase via x402 micropayments, manage threads, list services as a provider.", "description": "This MCP server provides a standardized interface to the402.ai marketplace, allowing developers to browse AI agent services, purchase them via x402 micropayments, manage conversation threads, and list their own services as providers. It is built with TypeScript and serves as a bridge between MCP-compatible clients and the decentralized service marketplace.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-compatible agents that need on-demand, micropayment-based access to a marketplace of AI services", "useCases": [ "Browse and discover AI agent services available on the402.ai marketplace", "Purchase and invoke agent services using x402 micropayments", "Manage and persist conversation threads with AI agents" ], "pros": [ "Offers a unified MCP protocol for interacting with multiple AI agent services", "Enables micropayment-based transactions without traditional payment infrastructure", "Supports both consumer and provider roles in a single server" ], "cons": [ "Very early stage with only 1 GitHub star, indicating limited community adoption", "Dependent on the402.ai marketplace being operational and widely accepted", "Likely sparse documentation and minimal error handling at this stage" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/the402ai/mcp-server", "relations": { "works_in": [ "cline", "cursor", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/the402ai-mcp-server" }, { "slug": "theagenttimes-tat-mcp-server", "name": "theagenttimes/tat-mcp-server", "vendor": "Various", "tagline": "MCP server for The Agent Times — query news, stats, and social tools from the agent economy newspaper", "description": "An MCP server that provides access to news, statistics, and social tools from The Agent Times, a newspaper covering the agent economy. It allows AI agents to query articles, stats, and social data through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need curated news and data from the agent economy", "useCases": [ "Fetching latest news articles about the agent economy for an AI assistant", "Querying statistics and metrics from The Agent Times for analysis", "Integrating social tools from the agent economy newspaper into agent workflows" ], "pros": [ "Direct access to specialized agent economy news and data", "Standard MCP interface for easy integration with AI agents", "Lightweight Python implementation" ], "cons": [ "No stars or community traction yet, indicating early stage", "Limited to content from a single niche newspaper", "Dependency on The Agent Times API availability and rate limits" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "lastUpdated": "2026-02-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/theagenttimes/tat-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "exa-labs-exa-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/theagenttimes-tat-mcp-server" }, { "slug": "thecombatwombat-replicant-mcp", "name": "thecombatwombat/replicant-mcp", "vendor": "Various", "tagline": "Android MCP server - production-grade, token-optimized, accessibility-first", "description": "An Android MCP server that enables AI agents to interact with Android devices and emulators via the Model Context Protocol. It is designed for production use, optimized for token consumption, and leverages accessibility APIs for robust UI interaction. Written in TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to control or automate Android devices and apps", "useCases": [ "Automating Android app testing with AI agents", "Controlling Android devices for UI automation", "Integrating Android device interaction into AI workflows" ], "pros": [ "Production-grade reliability for real-world use", "Token-optimized to reduce API costs", "Accessibility-first approach ensures robust interaction with apps" ], "cons": [ "Limited to Android ecosystem, no cross-platform support", "Requires Android device or emulator setup", "Small community (13 stars) may limit support and documentation" ], "tags": [], "featured": false, "tier": "curated", "stars": 13, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/thecombatwombat/replicant-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [ "mobile-next-mobile-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/thecombatwombat-replicant-mcp" }, { "slug": "thelunarcompany-lunar-mcpx", "name": "TheLunarCompany/lunar#mcpx", "vendor": "Various", "tagline": "lunar.dev: Agent native MCP Gateway for governance and security", "description": "An open-source TypeScript gateway that enforces governance and security policies for Model Context Protocol (MCP) interactions. It acts as a native proxy between agents and MCP servers, providing centralized control for authentication, rate limiting, and auditing.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Teams deploying MCP-based agent systems that need centralized security and governance", "useCases": [ "Centralize policy enforcement across MCP agents", "Log and audit agent-to-server communications", "Secure MCP endpoints with authentication and rate limiting" ], "pros": [ "Open-source and community-driven", "Written in TypeScript for type safety and easy integration", "Provides a dedicated governance layer without modifying agents or servers" ], "cons": [ "Requires setting up and maintaining a separate gateway instance", "Currently limited to TypeScript ecosystem", "May add latency to MCP calls due to proxying" ], "tags": [ "agent-skills", "api-proxy", "mcp", "mcp-client", "mcp-gateway", "mcp-security", "mcp-server", "mcp-servers" ], "featured": false, "tier": "curated", "stars": 447, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/TheLunarCompany/lunar/tree/main/mcpx", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "awslabs-mcp", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/thelunarcompany-lunar-mcpx" }, { "slug": "thelongevityvault-decoder-3am-mcp", "name": "thelongevityvault/decoder-3am-mcp", "vendor": "Various", "tagline": "Sleep disruption cause classifier MCP server from The Longevity Vault", "description": "An MCP server that classifies causes of sleep disruption. It is built in JavaScript and provided by The Longevity Vault.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building sleep health tools who need a simple MCP-based classifier", "useCases": [ "Classifying sleep disruption causes from user data", "Integrating with health or wellness applications via MCP", "Building automated sleep analysis pipelines" ], "pros": [ "Open source and free to use", "Written in JavaScript, easy to integrate into Node.js projects", "Follows the MCP protocol for standardized tool interaction" ], "cons": [ "No stars or community activity yet", "Limited documentation beyond the repository description", "Unclear accuracy or validation of the classifier" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-03", "addedAt": "2026-06-01", "officialLink": "https://github.com/thelongevityvault/decoder-3am-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/thelongevityvault-decoder-3am-mcp" }, { "slug": "themesberg-flowbite-mcp", "name": "themesberg/flowbite-mcp", "vendor": "Various", "tagline": "Convert Figma design to code with the official Flowbite MCP server", "description": "An MCP server that converts Figma designs into code using the Flowbite component library. It translates design elements into functional UI components through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Flowbite who want to automate Figma-to-code conversion", "useCases": [ "Convert Figma design files directly to Flowbite UI components", "Automate design-to-code handoff in development workflows", "Integrate Figma with development environments via MCP" ], "pros": [ "Official Flowbite MCP server with targeted component mapping", "Leverages standard Model Context Protocol for interoperability", "Reduces manual coding from design specs" ], "cons": [ "Limited community adoption (35 GitHub stars)", "Dependency on the Flowbite component library", "Narrow scope – only converts to Flowbite, not general UI frameworks" ], "tags": [ "css-mcp", "figma", "flowbite", "flowbite-mcp", "html-mcp", "mcp", "mcp-components", "mcp-docker" ], "featured": false, "tier": "curated", "stars": 35, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-01-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/themesberg/flowbite-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "glips-figma-context-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/themesberg-flowbite-mcp" }, { "slug": "theonedev-tod", "name": "theonedev/tod", "vendor": "Various", "tagline": "A command line tool working with OneDev", "description": "A command line tool that integrates with OneDev to provide MCP (Model Context Protocol) capabilities. It allows developers to interact with OneDev repositories and issues from the terminal.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using OneDev who want CLI access to repository and issue management", "useCases": [ "Managing OneDev issues via CLI", "Querying repository data from the command line", "Automating OneDev workflows with scripts" ], "pros": [ "Lightweight Go binary with no heavy dependencies", "Direct integration with OneDev for streamlined workflows", "Open source with a permissive license" ], "cons": [ "Limited to OneDev ecosystem, not useful for other platforms", "Very small community and few stars (9) indicating early stage", "Documentation is minimal and focused on MCP setup" ], "tags": [], "featured": false, "tier": "curated", "stars": 9, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/theonedev/tod/blob/main/mcp.md", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/theonedev-tod" }, { "slug": "theobrigitte-mcp-time", "name": "TheoBrigitte/mcp-time", "vendor": "Various", "tagline": "MCP (Model Context Protocol) server which provides utilities to work with time and dates, with natural language, multiple formats and timezone convertion capabilities", "description": "A Model Context Protocol (MCP) server written in Go that provides time and date utilities. It supports natural language queries, multiple date formats, and timezone conversion via the MCP interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-driven AI assistants that need basic time and date manipulation.", "useCases": [ "Get current time in a specified timezone", "Convert a date string between different formats", "Perform date arithmetic like adding days or calculating differences" ], "pros": [ "Simple MCP-based integration for AI assistants and tools", "Supports natural language date/time queries", "Lightweight and fast due to Go implementation" ], "cons": [ "Very small community and limited adoption (18 GitHub stars)", "Only handles time and date operations, no broader utility", "Requires an MCP-compatible client to be useful" ], "tags": [ "mcp", "mcp-server", "mcp-tools", "modelcontextprotocol" ], "featured": false, "tier": "curated", "stars": 18, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-03-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/TheoBrigitte/mcp-time", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/theobrigitte-mcp-time" }, { "slug": "theralabs-legion-mcp", "name": "TheRaLabs/legion-mcp", "vendor": "Various", "tagline": "A server that helps people access and query data in databases using the Legion Query Runner with Model Context Protocol (MCP) in Python.", "description": "A Python server that connects the Legion Query Runner to MCP clients, enabling natural language queries against databases. It translates requests into SQL and returns results through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to query databases from MCP-enabled AI assistants without writing raw SQL.", "useCases": [ "Query databases via natural language from MCP-compatible assistants", "Integrate Legion Query Runner with AI coding tools for data exploration", "Automate database lookups in development workflows" ], "pros": [ "Simplifies database access for non-SQL users through MCP", "Lightweight Python implementation with clear protocol boundaries", "Open source with 92 stars and active community potential" ], "cons": [ "Limited to Legion Query Runner supported databases", "Requires MCP client setup and Python environment", "Small user base may mean fewer examples and slower issue resolution" ], "tags": [ "database", "legion-ai", "mcp", "mcp-server", "query-builder" ], "featured": false, "tier": "curated", "stars": 92, "language": [ "Python" ], "license": "GPL-3.0", "lastUpdated": "2025-05-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/TheRaLabs/legion-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/theralabs-legion-mcp" }, { "slug": "thestack-ai-waypath", "name": "TheStack-ai/waypath", "vendor": "Various", "tagline": "Open-source memory CLI for Claude Code, Codex & MCP — local-first SQLite, graph-aware recall, review gate. npm i -g waypath", "description": "Waypath is an open-source CLI that provides persistent memory for AI coding assistants including Claude Code, Codex, and MCP-compatible tools. It stores data locally in SQLite, uses graph relationships for context-aware recall, and includes a review gate to filter memory entries. Installation is via npm with the command npm i -g waypath.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude Code or Codex who need persistent, local memory across sessions", "useCases": [ "Persist conversation context across Claude Code sessions", "Share memory between Codex and MCP-based tools", "Review and approve memory entries before they are stored" ], "pros": [ "Local-first design keeps data private and offline-capable", "Graph-aware recall surfaces relevant context automatically", "Open-source and npm installable with no dependency on cloud services" ], "cons": [ "Very early-stage project with only 3 GitHub stars and limited community support", "Requires command-line comfort and manual setup with each AI tool", "Graph recall quality depends on how users structure their memory entries" ], "tags": [ "ai-agent", "anthropic", "claude-code", "cli", "codex", "coding-agents", "developer-tools", "external-brain" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/TheStack-ai/waypath", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/thestack-ai-waypath" }, { "slug": "thevibepreneur-gapbase-mcp", "name": "thevibepreneur/gapbase-mcp", "vendor": "Various", "tagline": "Query 474 validated startup gaps from Claude Desktop, Cursor, and Windsurf.", "description": "This MCP server lets you query a curated set of 474 validated startup gaps directly from Claude Desktop, Cursor, or Windsurf. It provides a structured API to discover market opportunities without leaving your AI coding environment.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and founders who want quick, validated startup ideas inside their existing AI workflow", "useCases": [ "Find validated startup ideas while brainstorming in Claude Desktop", "Filter market gaps by category or keyword during development", "Seed product research with real, pre-vetted opportunities" ], "pros": [ "Easy integration with popular AI coding tools via MCP", "Pre-validated gaps reduce idea search time", "Small, focused dataset avoids analysis paralysis" ], "cons": [ "Limited to 474 gaps may miss niche or hyperlocal ideas", "No update mechanism shown; dataset could become stale", "Requires MCP-compatible client, limiting standalone use" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/thevibepreneur/gapbase-mcp", "relations": { "works_in": [ "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/thevibepreneur-gapbase-mcp" }, { "slug": "thezenmonster-agentmem", "name": "Thezenmonster/agentmem", "vendor": "Various", "tagline": "Governed memory for long-lived coding agents. Trust, provenance, conflict detection. Local-first.", "description": "AgentMem is a Python library for governed memory in long-lived coding agents. It provides trust, provenance tracking, and conflict detection for agent interactions. The system operates local-first.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building long-lived coding agents that need memory with trust and conflict handling", "useCases": [ "Managing long-running agent conversations with conflict resolution", "Tracking provenance of agent decisions and data modifications", "Enforcing trust and consistency in multi-agent code generation workflows" ], "pros": [ "Local-first design avoids dependency on external services", "Explicit conflict detection for robust agent coordination", "Provenance tracking aids debugging and audit trails" ], "cons": [ "Very small community (2 stars) suggests limited testing and support", "Detecting conflicts may add latency in real-time agent loops", "Python-only limits integration with non-Python agent frameworks" ], "tags": [ "agent", "agent-memory", "ai", "artificial-intelligence", "claude-code", "cli", "coding-agents", "cursor" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/Thezenmonster/agentmem", "relations": { "works_in": [ "aider" ], "uses": [], "built_with": [], "pairs_with": [ "claude-code", "cline" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/thezenmonster-agentmem" }, { "slug": "thezenmonster-agentscore-mcp-server", "name": "Thezenmonster/agentscore-mcp-server", "vendor": "Various", "tagline": "MCP security trust layer. Scan packages, get trust verdicts, check incident exposure, query abuse database. 5 tools, no API key needed.", "description": "Thezenmonster/agentscore-mcp-server is a Model Context Protocol server that provides a security trust layer for agent workflows. It offers five tools to scan packages, retrieve trust verdicts, check incident exposure, and query an abuse database, all without requiring an API key.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building agent-based workflows who need quick, no-fuss package security checks", "useCases": [ "Scan a package for security trust verdicts before using it in a build", "Check if a package has been exposed in known security incidents", "Query an abuse database to assess package risk during development" ], "pros": [ "No API key needed, reducing setup friction", "Provides concrete trust and incident data for package decisions", "Lightweight TypeScript implementation with focused tool set" ], "cons": [ "Zero GitHub stars suggests limited community validation or adoption", "Dependency on external abuse database may affect reliability or latency", "Only five tools, so coverage may be narrow for complex security needs" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/Thezenmonster/agentscore-mcp-server", "relations": { "works_in": [ "cline", "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/thezenmonster-agentscore-mcp-server" }, { "slug": "thinairtelematics-thinair-data", "name": "ThinAirTelematics/thinair-data", "vendor": "Various", "tagline": "Connect your AI assistant to any PostgreSQL, MySQL, or SQL Server database in 60 seconds via MCP.", "description": "ThinAirTelematics/thinair-data is an MCP server that lets AI assistants query PostgreSQL, MySQL, or SQL Server databases. It sets up the connection in about 60 seconds using JavaScript. The tool acts as a bridge between the AI and the database via the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to give AI assistants direct but controlled database access.", "useCases": [ "Query a production database from an AI assistant for real-time data retrieval.", "Allow an AI to generate SQL queries on top of existing relational databases.", "Integrate database access into AI-powered workflows without custom backend code." ], "pros": [ "Quick setup with a claimed 60-second connection time.", "Supports three major SQL databases: PostgreSQL, MySQL, SQL Server.", "Uses the open MCP standard for interoperability with various AI assistants." ], "cons": [ "New project with 0 stars, limited community and documentation.", "Only supports SQL databases, not NoSQL or other data sources.", "Requires an MCP-capable AI assistant to function." ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/ThinAirTelematics/thinair-data", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/thinairtelematics-thinair-data" }, { "slug": "thingsboard-thingsboard-mcp", "name": "thingsboard/thingsboard-mcp", "vendor": "Various", "tagline": "🎖️ ☕ ☁️ 🏠 🍎 🪟 🐧 - The ThingsBoard MCP Server provides a natural language interface for LLMs and AI agents to interact with your ThingsBoard IoT platform.", "description": "The ThingsBoard MCP Server implements the Model Context Protocol to provide a natural language interface for large language models and AI agents. It enables them to interact with the ThingsBoard IoT platform by translating LLM requests into platform API calls.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need to query or manage a ThingsBoard IoT deployment", "useCases": [ "Letting an LLM query device telemetry data from ThingsBoard", "Allowing AI agents to manage IoT dashboards and alarms via natural language", "Enabling conversational interfaces for ThingsBoard platform administration" ], "pros": [ "Bridges LLMs directly to ThingsBoard without custom integration code", "Uses the open MCP standard, making it compatible with various LLM hosts", "Written in Java, aligning with ThingsBoard's backend language" ], "cons": [ "Requires a running ThingsBoard instance to be useful", "Dependent on the MCP protocol ecosystem, which is still evolving", "Limited to functionality exposed via ThingsBoard's REST API" ], "tags": [], "featured": false, "tier": "curated", "stars": 96, "language": [ "Java" ], "license": "Apache-2.0", "lastUpdated": "2026-03-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/thingsboard/thingsboard-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/thingsboard-thingsboard-mcp" }, { "slug": "thinkchainai-agentinterviews-mcp", "name": "thinkchainai/agentinterviews_mcp", "vendor": "Various", "tagline": "MCP access to AgentInterviews.com", "description": "This MCP server provides access to AgentInterviews.com data through the Model Context Protocol. It allows developers to integrate interview content into MCP-compatible tools and workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-enabled tools that need to reference agent interview content.", "useCases": [ "Retrieve agent interview transcripts or summaries via MCP", "Integrate interview data into custom knowledge bases or assistants", "Query interview content from within MCP-compatible IDEs or chat interfaces" ], "pros": [ "Lightweight MCP implementation for accessing structured interview data", "Open source with a straightforward codebase for customization", "Leverages the growing MCP ecosystem for interoperability" ], "cons": [ "Limited community traction with only 3 GitHub stars", "Dependency on AgentInterviews.com availability and content scope", "May require additional configuration for non-standard MCP clients" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [], "lastUpdated": "2025-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/thinkchainai/agentinterviews_mcp", "relations": { "works_in": [ "cline", "continue", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/thinkchainai-agentinterviews-mcp" }, { "slug": "thinkchainai-mcpbundles", "name": "thinkchainai/mcpbundles", "vendor": "Various", "tagline": "MCPBundles .mcpb package releases for MCP registry", "description": "A repository hosting .mcpb package releases for the MCP registry. Developers can use it to distribute or retrieve MCP bundles for integration into their projects.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with the Model Context Protocol who need a simple way to share or acquire MCP bundles", "useCases": [ "Finding and downloading MCP packages for use in applications", "Distributing custom MCP bundles to the community", "Managing MCP package versions in a build pipeline" ], "pros": [ "Provides a central place for MCP package releases", "Uses a standard .mcpb format compatible with the MCP registry", "Open source and publicly accessible on GitHub" ], "cons": [ "Low community engagement with only 3 stars", "Limited documentation or usage examples", "May not be actively maintained or updated" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [], "lastUpdated": "2026-04-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/thinkchainai/mcpbundles", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/thinkchainai-mcpbundles" }, { "slug": "thinkneoai-mcp-server", "name": "ThinkneoAI/mcp-server", "vendor": "Various", "tagline": "Dual-protocol gateway: 62 MCP tools + A2A Protocol agent (82/82 TCK intentional) in a single governed runtime", "description": "ThinkneoAI/mcp-server is a dual-protocol gateway that exposes 62 MCP tools and an A2A Protocol agent within a single governed runtime. It is written in Python and designed for developers who need to bridge multiple agent communication standards.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring multi-protocol agent systems who need a unified tool gateway", "useCases": [ "Integrating MCP and A2A protocol tools in one runtime", "Building governed multi-agent systems with standardized tool access", "Testing or prototyping with 62 pre-built MCP tools" ], "pros": [ "Supports both MCP and A2A protocols in a single gateway", "Provides a large set of 62 pre-built tools for rapid development", "Governed runtime helps enforce access controls and consistency" ], "cons": [ "Very early stage with only 1 GitHub star and minimal community adoption", "Limited documentation and real-world usage examples", "Python-only implementation may not suit all deployment environments" ], "tags": [ "a2a-protocol", "agent-to-agent", "ai-governance", "enterprise", "finops", "guardrails", "mcp", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/ThinkneoAI/mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp", "pydantic-pydantic-ai-mcp-run-python", "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/thinkneoai-mcp-server" }, { "slug": "thinq-connect-thinqconnect-mcp", "name": "thinq-connect/thinqconnect-mcp", "vendor": "Various", "tagline": "ThinQ Connect MCP Server", "description": "ThinQ Connect MCP Server is an open-source Python implementation of the Model Context Protocol for ThinQ Connect. It enables developers to integrate ThinQ Connect smart home devices with MCP-compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring MCP integrations with LG ThinQ smart home ecosystems", "useCases": [ "Building MCP-based tools to control LG ThinQ smart home devices", "Creating custom automations that bridge ThinQ Connect with other MCP services", "Developing prototypes or experiments with the Model Context Protocol and smart home APIs" ], "pros": [ "Open source and written in Python, easy to extend or modify", "Implements the Model Context Protocol standard for interoperability", "Lightweight with a small codebase suitable for learning or customization" ], "cons": [ "Low GitHub star count (25) indicates limited community adoption and support", "Documentation and examples may be sparse due to early stage of the project", "Dependency on ThinQ Connect API availability and stability" ], "tags": [], "featured": false, "tier": "curated", "stars": 25, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2025-08-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/thinq-connect/thinqconnect-mcp", "relations": { "works_in": [ "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/thinq-connect-thinqconnect-mcp" }, { "slug": "thomasmarches-substrate-mcp-rs", "name": "ThomasMarches/substrate-mcp-rs", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server for Substrate blockchains, written in Rust and interfacing the subxt crate.", "description": "A Model Context Protocol (MCP) server for Substrate blockchains, written in Rust and using the subxt crate to interface with chain data. It enables AI agents and tools to query and interact with Substrate-based networks through the MCP standard.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-compatible AI tools that need to interact with Substrate blockchains", "useCases": [ "Connecting AI assistants to Substrate blockchain data via MCP", "Building developer tools that query on-chain state or events", "Integrating Substrate chain interactions into MCP-compatible workflows" ], "pros": [ "Leverages Rust's performance and safety for blockchain operations", "Built on the well-maintained subxt crate for reliable Substrate interaction", "Open source with a permissive license for customization" ], "cons": [ "Small user base (12 stars) indicates limited community support", "Early-stage project may lack extensive documentation or examples", "Requires familiarity with both Substrate and MCP protocols" ], "tags": [ "ia", "mcp", "polkadot", "rust", "substrate", "subxt" ], "featured": false, "tier": "curated", "stars": 12, "language": [ "Rust" ], "license": "MIT", "lastUpdated": "2025-10-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/ThomasMarches/substrate-mcp-rs", "relations": { "works_in": [ "cursor", "claude-code", "continue", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/thomasmarches-substrate-mcp-rs" }, { "slug": "thoughtproof-thoughtproof-mcp", "name": "thoughtproof/thoughtproof-mcp", "vendor": "Various", "tagline": "Adversarial multi-model reasoning verification MCP server for AI agents. Claude, Grok, and DeepSeek challenge each decision — ALLOW or HOLD with JWKS-signed attestation. x402-gated", "description": "An MCP server that runs adversarial multi-model reasoning verification for AI agents. It uses Claude, Grok, and DeepSeek to challenge each decision and outputs ALLOW or HOLD with JWKS-signed attestation. Access is x402-gated on Base.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building high-stakes AI agents that need adversarial decision verification", "useCases": [ "Verify agent decisions by cross-checking with multiple models", "Add adversarial challenge steps to agent workflows", "Generate signed attestations for decision integrity" ], "pros": [ "Multi-model verification reduces single-model bias", "JWKS-signed attestations provide cryptographic proof", "Adversarial approach surfaces edge cases" ], "cons": [ "Zero stars indicates very early stage or low adoption", "Requires access to three separate models (cost and latency)", "x402 gating on Base may limit deployment options" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "lastUpdated": "2026-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/ThoughtProof/thoughtproof-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/thoughtproof-thoughtproof-mcp" }, { "slug": "tianqitang1-enrichr-mcp-server", "name": "tianqitang1/enrichr-mcp-server", "vendor": "Various", "tagline": "📇 ☁️ - A MCP server that provides gene set enrichment analysis using the Enrichr API", "description": "A Model Context Protocol server that wraps the Enrichr API for gene set enrichment analysis. It accepts gene lists and returns enrichment results from Enrichr's curated gene set libraries.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Bioinformaticians and researchers who want to add gene set enrichment analysis to AI-driven data analysis pipelines", "useCases": [ "Run enrichment analysis on a list of differentially expressed genes", "Integrate gene set enrichment into an AI-assisted bioinformatics workflow", "Automate enrichment queries from a command line or MCP client" ], "pros": [ "Leverages the well-established Enrichr API for reliable enrichment results", "Simple MCP interface makes it easy to plug into AI agents and tools", "Written in TypeScript for type safety and easy integration" ], "cons": [ "Depends on an external API, so offline use is not possible", "Limited to the gene set libraries and methods provided by Enrichr", "Small community (14 stars) may mean slower updates or support" ], "tags": [], "featured": false, "tier": "curated", "stars": 14, "language": [ "TypeScript" ], "lastUpdated": "2026-04-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/tianqitang1/enrichr-mcp-server", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tianqitang1-enrichr-mcp-server" }, { "slug": "tiberriver256-mcp-server-azure-devops", "name": "Tiberriver256/mcp-server-azure-devops", "vendor": "Various", "tagline": "An MCP server for Azure DevOps", "description": "An MCP server that connects AI assistants to Azure DevOps services. It enables querying and managing work items, repositories, and other Azure DevOps resources through the Model Context Protocol. Built in TypeScript, it runs as a standalone server process.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Azure DevOps who want AI assistants to interact with their project management and code repositories", "useCases": [ "Integrate AI coding assistants with Azure DevOps boards", "Automate work item creation and updates via natural language", "Query Azure DevOps repositories and pull requests from AI chat interfaces" ], "pros": [ "Open source with 370 GitHub stars indicating community trust", "TypeScript implementation for type safety and easy integration", "Standard MCP protocol allows compatibility with multiple AI clients" ], "cons": [ "Requires running a separate server process alongside AI tools", "Limited to Azure DevOps; no support for other DevOps platforms", "Dependency on MCP protocol adoption which is still evolving" ], "tags": [ "ai", "azure-devops", "claude", "copilot", "cursor", "mcp", "mcp-server", "vscode" ], "featured": false, "tier": "curated", "stars": 370, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-02-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/Tiberriver256/mcp-server-azure-devops", "relations": { "works_in": [ "cursor", "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tiberriver256-mcp-server-azure-devops" }, { "slug": "thunderboltsid-mcp-nutanix", "name": "thunderboltsid/mcp-nutanix", "vendor": "Various", "tagline": "MCP Server for Nutanix", "description": "An MCP server that exposes Nutanix infrastructure management as tools for AI agents. It uses Go to bridge the Model Context Protocol with Nutanix APIs, enabling automated cluster operations.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "DevOps engineers managing Nutanix clusters who want AI-driven automation", "useCases": [ "Provision and manage Nutanix VMs through natural language prompts", "Query cluster health and resource utilization via an AI assistant", "Automate routine Nutanix administrative tasks with agent workflows" ], "pros": [ "Direct integration with Nutanix APIs for infrastructure control", "Lightweight Go implementation with minimal dependencies", "Open source with clear MCP protocol adherence" ], "cons": [ "Small community and limited documentation due to early stage", "Requires existing Nutanix environment and credentials", "Niche use case limited to Nutanix users" ], "tags": [], "featured": false, "tier": "curated", "stars": 13, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-01-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/thunderboltsid/mcp-nutanix", "relations": { "works_in": [ "cline", "continue", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/thunderboltsid-mcp-nutanix" }, { "slug": "tickadoo-tickadoo-mcp", "name": "tickadoo/tickadoo-mcp", "vendor": "Various", "tagline": "MCP server for tickadoo® — discover and book theatre, events & experiences in 700+ cities worldwide", "description": "An MCP server that allows AI agents to discover and book theatre, events, and experiences across 700+ cities worldwide. Built in TypeScript, it interfaces with the tickadoo platform to provide real-time event search and booking capabilities through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants or agents that need to search and book live events worldwide", "useCases": [ "Integrate event discovery and booking into AI-powered travel or entertainment assistants", "Enable conversational interfaces to search for live theatre shows and experiences by city or date", "Automate ticket purchases for events based on user preferences or prompts" ], "pros": [ "Global coverage across 700+ cities for event discovery", "Leverages the Model Context Protocol for seamless integration with AI agents", "Written in TypeScript, offering type safety and broad developer familiarity" ], "cons": [ "Zero stars on GitHub indicates a very new or unproven project", "Functionality depends entirely on tickadoo's API and event inventory", "Limited to theatre, events, and experiences; no support for other booking categories" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/tickadoo/tickadoo-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tickadoo-tickadoo-mcp" }, { "slug": "tickstem-mcp", "name": "tickstem/mcp", "vendor": "Various", "tagline": "MCP server for Tickstem — AI agent integration for cron jobs and email verification", "description": "MCP server that exposes Tickstem's cron job scheduling and email verification capabilities to AI agents. It enables agents to trigger scheduled tasks and validate email addresses through the Model Context Protocol. Built in Go.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to schedule tasks or verify emails using Tickstem's platform.", "useCases": [ "Schedule periodic tasks from an AI agent conversation", "Verify email addresses programmatically via AI agent", "Integrate cron management into AI-driven workflows" ], "pros": [ "Direct integration with Tickstem's API for cron and email verification", "Follows the MCP standard for interoperability with AI agents", "Lightweight Go binary with minimal dependencies" ], "cons": [ "Very early-stage project with only 1 GitHub star", "Limited documentation and community support", "Tied to Tickstem's ecosystem; no generic cron or email verification support" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/tickstem/mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tickstem-mcp" }, { "slug": "tigranbs-mcgravity", "name": "tigranbs/mcgravity", "vendor": "Various", "tagline": "Fast TUI that orchestrates AI coding tools (Claude Code, Codex, Gemini) in a plan→execute→review loop. Breaks work into atomic tasks for easier verification and course-correction.", "description": "A fast terminal UI that orchestrates multiple AI coding tools including Claude Code, Codex, and Gemini. It runs a plan-execute-review loop and breaks work into atomic tasks for easier verification and course correction.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want a structured, multi-tool AI coding workflow with built-in verification steps.", "useCases": [ "Coordinate multiple AI coding assistants in a single terminal session", "Break complex coding tasks into atomic subtasks for incremental verification", "Iterate on code with structured review and correction loops" ], "pros": [ "Fast performance due to Rust implementation", "Supports multiple popular AI coding tools in one workflow", "Atomic task breakdown improves error detection and correction" ], "cons": [ "Limited to the three listed AI tools (Claude Code, Codex, Gemini)", "Requires terminal proficiency and comfort with TUI interfaces", "Small community and early-stage project (98 stars)" ], "tags": [ "claude", "claude-code", "codex", "gemini", "vibe-coding" ], "featured": false, "tier": "curated", "stars": 98, "language": [ "Rust" ], "lastUpdated": "2026-02-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/tigranbs/mcgravity", "relations": { "works_in": [], "uses": [ "claude-code" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tigranbs-mcgravity" }, { "slug": "tiianhk-maxmsp-mcp-server", "name": "tiianhk/MaxMSP-MCP-Server", "vendor": "Various", "tagline": "MCP (Model Context Protocol) Server for Max (Max/MSP/Jitter)", "description": "An MCP server that connects AI assistants to Max/MSP/Jitter, enabling them to create and modify Max patches programmatically. It translates model requests into Max patcher operations via the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Max/MSP/Jitter users who want to leverage AI for patch creation and manipulation", "useCases": [ "Generating Max patches from natural language descriptions", "Automating repetitive patcher editing tasks", "Integrating AI assistants into Max-based creative workflows" ], "pros": [ "Directly bridges AI models with Max's visual patching environment", "Open source with 228 stars indicating community interest", "Written in Max itself, aligning with the tool's native ecosystem" ], "cons": [ "Requires Max/MSP/Jitter license (not free software)", "Limited to Max's patching paradigm, not general-purpose", "Dependent on MCP adoption and model support" ], "tags": [], "featured": false, "tier": "curated", "stars": 228, "language": [ "Max" ], "license": "MIT", "lastUpdated": "2026-05-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/tiianhk/MaxMSP-MCP-Server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "ahujasid-blender-mcp", "glips-figma-context-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tiianhk-maxmsp-mcp-server" }, { "slug": "timergy-app-timergy", "name": "timergy-app/timergy", "vendor": "Various", "tagline": "MCP server for Timergy - create scheduling polls from AI agents like Claude, ChatGPT, and Gemini. No auth required.", "description": "timergy-app/timergy is an MCP server that enables AI agents like Claude, ChatGPT, and Gemini to create scheduling polls through the Timergy service. It requires no authentication and is built in TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to create scheduling polls without complex authentication.", "useCases": [ "Let AI assistants schedule meetings by generating Timergy polls", "Automate poll creation from chat conversations", "Integrate Timergy's scheduling features into agent workflows" ], "pros": [ "No authentication required, simplifying integration", "Supports multiple popular AI agents (Claude, ChatGPT, Gemini)", "Straightforward TypeScript implementation" ], "cons": [ "Zero stars indicates limited adoption or early stage", "Depends on the Timergy service for poll functionality", "Lacks authentication may raise security concerns in shared environments" ], "tags": [ "ai-agent", "claude", "doodle", "mcp", "mcp-server", "model-context-protocol", "polls", "scheduling" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/timergy-app/timergy", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "eyaltoledano-claude-task-master" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/timergy-app-timergy" }, { "slug": "timkulbaev-mcp-gmail", "name": "timkulbaev/mcp-gmail", "vendor": "Various", "tagline": "timkulbaev/mcp-gmail — indexed from awesome-mcp-servers-punkpeye", "description": "An MCP server that exposes Gmail functionality through the Model Context Protocol, enabling AI agents to read, search, and send emails. It authenticates via OAuth and provides tools for common email operations.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to interact with Gmail", "useCases": [ "Automating email triage and responses with an AI assistant", "Searching and retrieving specific emails programmatically", "Sending emails from within an AI agent workflow" ], "pros": [ "Direct integration with Gmail via standard MCP interface", "OAuth-based authentication for secure access", "Open source and community maintained" ], "cons": [ "Requires OAuth setup and token management", "Limited to Gmail, not other email providers", "Dependent on the MCP ecosystem and client support" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/timkulbaev/mcp-gmail", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "elie222-inbox-zero" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/timkulbaev-mcp-gmail" }, { "slug": "timkulbaev-mcp-linkedin", "name": "timkulbaev/mcp-linkedin", "vendor": "Various", "tagline": "MCP server for LinkedIn publishing, commenting, and reacting. Dry-run by default, SKILL.md included, 28 unit tests. MIT licensed.", "description": "An MCP server that enables AI assistants to publish, comment, and react on LinkedIn. It defaults to dry-run mode to prevent accidental live actions. Includes 28 unit tests and is MIT licensed.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers prototyping AI-driven LinkedIn integrations and needing a safe testing workflow", "useCases": [ "Automate LinkedIn post scheduling from AI agents", "Enable conversational AI to reply to LinkedIn comments", "Test LinkedIn API interactions in safe dry-run mode" ], "pros": [ "Dry-run mode prevents unintended live posts by default", "28 unit tests provide basic reliability coverage", "MIT license allows free use and modification" ], "cons": [ "Very small community with only 1 GitHub star", "Limited to publish, comment, and react functionality", "Requires manual LinkedIn API credential setup" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/timkulbaev/mcp-linkedin", "relations": { "works_in": [ "cursor", "continue" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/timkulbaev-mcp-linkedin" }, { "slug": "timlukahorstmann-mcp-weather", "name": "TimLukaHorstmann/mcp-weather", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server that provides hourly and daily weather forecasts using the AccuWeather API.", "description": "An open-source Model Context Protocol (MCP) server that delivers hourly and daily weather forecasts by querying the AccuWeather API. Built in TypeScript, it enables AI assistants and MCP-compatible applications to retrieve structured weather data through a standardized protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-compatible AI assistants or automation tools that need weather forecast data", "useCases": [ "Integrate live weather forecasts into AI chatbots or virtual assistants", "Provide hourly and daily weather data for MCP-based automation workflows", "Add weather lookup capabilities to developer tools or smart home systems" ], "pros": [ "Leverages the reliable AccuWeather API for forecast data", "Written in TypeScript, offering type safety and easy integration", "Follows the Model Context Protocol, making it interoperable with MCP clients" ], "cons": [ "Requires a free or paid AccuWeather API key to function", "Limited to AccuWeather as the sole data source", "Small community (31 stars) may mean slower updates or less support" ], "tags": [], "featured": false, "tier": "curated", "stars": 31, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-09-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/TimLukaHorstmann/mcp-weather", "relations": { "works_in": [ "cursor", "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/timlukahorstmann-mcp-weather" }, { "slug": "timmx7-acheron-mcp-server", "name": "timmx7/acheron-mcp-server", "vendor": "Various", "tagline": "MCP server bridging context between Claude Chat, Code, and Cowork", "description": "MCP server that synchronizes context across Claude Chat, Code, and Cowork. It enables users to maintain continuity when switching between these Claude interfaces. Written in TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who frequently switch between Claude Chat, Code, and Cowork and need seamless context transfer", "useCases": [ "Maintaining conversation history between Claude Chat and Code", "Sharing project context across Claude Cowork sessions", "Streamlining workflows that span multiple Claude tools" ], "pros": [ "Fills a clear gap by bridging context across Claude environments", "Written in TypeScript for straightforward integration", "Small, focused codebase with low overhead" ], "cons": [ "Limited documentation and community support due to low star count", "Dependency on Claude's API stability and compatibility", "Requires manual configuration and setup" ], "tags": [], "featured": false, "tier": "curated", "stars": 5, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/timmx7/acheron-mcp-server", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [ "claude-code", "eyaltoledano-claude-task-master" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/timmx7-acheron-mcp-server" }, { "slug": "timowhite88-farnsworth-syntek", "name": "timowhite88/farnsworth-syntek", "vendor": "Various", "tagline": "Farnsworth SYNTEK — 7-layer recursive agent memory with context branching, holographic recall, and on-chain persistence.", "description": "Farnsworth SYNTEK implements a 7-layer recursive memory system for AI agents with context branching and holographic recall. It stores agent state on-chain for persistence and auditability. The project is at an early experimental stage with a single star.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with advanced agent memory architectures or blockchain-anchored agent state", "useCases": [ "Maintaining branching conversational context in agent interactions", "Persisting agent memory on a blockchain for transparency", "Exploring recursive memory layers for complex reasoning" ], "pros": [ "Open source and available for inspection", "Multi-layer memory architecture for deep context", "On-chain persistence provides immutable state records" ], "cons": [ "Very early stage with minimal adoption and testing", "On-chain storage may incur latency and cost", "Novel concepts like holographic recall lack proven benchmarks" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [], "lastUpdated": "2026-02-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/timowhite88/farnsworth-syntek", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "upstash-context7", "vectorize-io-hindsight", "topoteretes-cognee" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/timowhite88-farnsworth-syntek" }, { "slug": "tinybirdco-mcp-tinybird", "name": "tinybirdco/mcp-tinybird", "vendor": "Various", "tagline": "🐍 ☁️ - An MCP server to interact with a Tinybird Workspace from any MCP client.", "description": "This is an MCP server that enables any MCP client to interact with a Tinybird Workspace. It is written in Python and allows querying and managing Tinybird resources through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants or tools that need live access to Tinybird data", "useCases": [ "Query Tinybird data from an AI assistant or MCP client", "Manage Tinybird pipes and datasources programmatically", "Integrate Tinybird analytics into custom MCP-based tools" ], "pros": [ "Open source and Python-based, easy to extend", "Follows the MCP standard for interoperability", "Directly connects to Tinybird's real-time analytics platform" ], "cons": [ "Requires a Tinybird account and workspace setup", "Limited to MCP-compatible clients only", "Relatively low community adoption (79 stars) may mean fewer examples" ], "tags": [], "featured": false, "tier": "curated", "stars": 79, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2025-09-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/tinybirdco/mcp-tinybird", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb", "upstash-context7" ], "alternative_to": [ "mindsdb-mindsdb" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tinybirdco-mcp-tinybird" }, { "slug": "tinyfish-io-agentql-mcp", "name": "tinyfish-io/agentql-mcp", "vendor": "Various", "tagline": "Model Context Protocol server that integrates AgentQL's data extraction capabilities.", "description": "An MCP server that exposes AgentQL data extraction as a tool for AI assistants. It wraps AgentQL's extraction capabilities through the Model Context Protocol, enabling compatible clients to query and retrieve structured data from web content.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to add web data extraction to AI assistants using the Model Context Protocol", "useCases": [ "Extract structured data from web pages via AgentQL through an AI assistant", "Integrate data extraction into MCP-compatible agent workflows", "Automate data collection from websites using a natural language interface" ], "pros": [ "Leverages the open MCP standard for interoperability with AI clients", "Simplifies adding AgentQL extraction to existing agent pipelines", "Lightweight JavaScript implementation runs on Node.js" ], "cons": [ "Depends on an external AgentQL service and API key for operation", "Extraction scope is limited to what AgentQL supports (primarily web content)", "MCP ecosystem adoption is still early, limiting client compatibility" ], "tags": [ "agent", "agentql", "ai", "aiagent", "claude", "cursor", "llm-tools", "mcp" ], "featured": false, "tier": "curated", "stars": 172, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/tinyfish-io/agentql-mcp", "relations": { "works_in": [ "cursor", "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [ "browsermcp-mcp", "executeautomation-playwright-mcp-server", "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tinyfish-io-agentql-mcp" }, { "slug": "tipdotmd-tip-md-x402-mcp-server", "name": "tipdotmd/tip-md-x402-mcp-server", "vendor": "Various", "tagline": "🏆 Hackathon: Transform any AI agent into a payment-enabled agent using x402 + CDP. MCP server for instant crypto tipping with automatic disbursement.", "description": "Tip.md is an MCP server that lets AI agents accept and disburse cryptocurrency tips instantly using the x402 protocol and Coinbase Developer Platform. It transforms any agent into a payment-enabled agent with automatic disbursement of tips.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building hackathon prototypes that need to add crypto tipping to AI agents", "useCases": [ "Accept crypto tips from users during agent conversations", "Enable automatic disbursement of tips in real time", "Integrate payment capability into AI agents via MCP and CDP" ], "pros": [ "Straightforward MCP integration for existing agents", "Leverages CDP for reliable blockchain transactions", "Enables instant micropayments without manual intervention" ], "cons": [ "Early-stage project with only 9 stars and limited testing", "Requires setup with Coinbase Developer Platform and x402", "Focus on tipping may not suit broader payment needs" ], "tags": [], "featured": false, "tier": "curated", "stars": 9, "language": [ "TypeScript" ], "lastUpdated": "2025-09-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/tipdotmd/tip-md-x402-mcp-server", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tipdotmd-tip-md-x402-mcp-server" }, { "slug": "tjclaude88-mcp-bling", "name": "tjclaude88/mcp-bling", "vendor": "Various", "tagline": "Give your bot an identity!", "description": "This is a TypeScript module for the Model Context Protocol (MCP) that assigns an identity to an AI bot. It provides a way to configure a persona or metadata for the bot’s interactions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building experimental MCP-based bots who need a simple identity configuration.", "useCases": [ "Give an MCP-based agent a consistent name and role across sessions", "Add branded identity metadata to bot responses", "Quickly set up a persona for testing conversational AI flows" ], "pros": [ "Lightweight and easy to integrate into existing MCP projects", "Simplifies the process of assigning a bot identity programmatically", "Written in TypeScript for type safety and modern tooling" ], "cons": [ "Zero stars and no visible adoption, indicating early or untested stage", "Limited documentation and community support", "Narrow scope; only handles identity setting, no broader functionality" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-03", "addedAt": "2026-06-01", "officialLink": "https://github.com/tjclaude88/mcp-bling", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp", "eyaltoledano-claude-task-master", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tjclaude88-mcp-bling" }, { "slug": "tkmd-reftrixmcp", "name": "TKMD/ReftrixMCP", "vendor": "Various", "tagline": "MCP server with 39 tools for web design analysis — layout extraction, motion detection, quality scoring, accessibility audit, Core Web Vitals, design comparison, and semantic searc", "description": "An MCP server offering 39 tools for web design analysis. It uses Playwright for browser automation, pgvector for vector search, ONNX Runtime for machine learning inference, and Ollama for local language models. Tools include layout extraction, motion detection, quality scoring, accessibility audit, Core Web Vitals, design comparison, and semantic search.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing automated web design analysis and comparison tools", "useCases": [ "Extract layout structure from any webpage", "Audit accessibility and Core Web Vitals", "Compare design versions with semantic search" ], "pros": [ "Comprehensive set of 39 tools for web design analysis", "Integrates modern ML and vector search capabilities", "Open source with TypeScript codebase" ], "cons": [ "Low community adoption (1 star on GitHub)", "Requires setup of multiple dependencies (Playwright, pgvector, ONNX, Ollama)", "Complex configuration for non-developer users" ], "tags": [ "accessibility", "claude", "core-web-vitals", "design-analysis", "gdpr", "layout-analysis", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "AGPL-3.0", "lastUpdated": "2026-05-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/TKMD/ReftrixMCP", "relations": { "works_in": [], "uses": [ "ollama" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tkmd-reftrixmcp" }, { "slug": "toadlybroodle-satring", "name": "toadlyBroodle/satring", "vendor": "Various", "tagline": "Discover, rate, and pay for APIs over Bitcoin Lightning. The L402 + x402 service directory for the agent economy.", "description": "A service directory for discovering, rating, and paying for APIs over Bitcoin Lightning using L402 and x402 protocols. It is designed for the agent economy, enabling autonomous agents to find and pay for API services with instant micropayments.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building autonomous agents that need to pay for API calls with Bitcoin Lightning micropayments", "useCases": [ "Discover APIs that accept Bitcoin Lightning payments for agent workflows", "Integrate L402/x402 payment flows into Python-based agent applications", "Rate and review APIs in a decentralized directory for the agent economy" ], "pros": [ "Enables instant micropayments via Bitcoin Lightning for API access", "Open-source Python implementation with a focused protocol (L402/x402)", "Targets the emerging agent economy with a dedicated directory" ], "cons": [ "Very niche use case limited to Bitcoin Lightning and L402/x402 protocols", "Low star count (5) indicates early-stage project with limited community adoption", "Requires both API providers and consumers to support Lightning payments" ], "tags": [ "agents", "ai", "directory", "l402", "lightning-network", "marketplace", "mpp", "search" ], "featured": false, "tier": "curated", "stars": 5, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/toadlyBroodle/satring/tree/main/mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/toadlybroodle-satring" }, { "slug": "toan203-osv-ui", "name": "toan203/osv-ui", "vendor": "Various", "tagline": "A beautiful, zero-config visual CVE dashboard for npm & Python. One command: npx osv-ui. 100% Local & Secure.", "description": "A zero-config local dashboard that scans npm and Python dependencies for known CVEs using the OSV API. Run one command (npx osv-ui) to get a visual report of vulnerabilities without sending data to external servers.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want a quick, private, visual CVE scan for npm or Python projects without adding a CI step.", "useCases": [ "Audit npm dependencies for CVEs before a release", "Check Python package vulnerabilities in a local project", "Quickly visualize security issues without configuring a CI pipeline" ], "pros": [ "Zero setup: one command runs the full scan", "100% local processing keeps dependency data private", "Clean visual dashboard for browsing vulnerabilities" ], "cons": [ "Limited to npm and Python ecosystems only", "Relies on the OSV API which may have rate limits or latency", "No automated remediation or fix suggestions" ], "tags": [ "audit-source", "cve", "cve-mcp", "cve-scanner-dashboard", "cve-scanner-ui", "cve-scanning", "cve-search", "cybersecurity" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "HTML" ], "license": "MIT", "lastUpdated": "2026-03-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/toan203/osv-ui", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/toan203-osv-ui" }, { "slug": "tollboothlabs-ai-tool-optimizer", "name": "TollboothLabs/ai-tool-optimizer", "vendor": "Various", "tagline": "TollboothLabs/ai-tool-optimizer — indexed from awesome-mcp-servers-punkpeye", "description": "A Python repository for optimizing AI tool usage, indexed from the awesome-mcp-servers list. It aims to improve efficiency of tool calls in MCP-based workflows. The project has no stars and limited public adoption.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring MCP tool optimization", "useCases": [ "Optimizing tool call sequences in MCP servers", "Reducing latency in AI tool invocations", "Streamlining multi-tool workflows" ], "pros": [ "Open source Python implementation", "Part of the MCP ecosystem", "Lightweight codebase" ], "cons": [ "No community adoption or stars", "Limited documentation or examples", "Unproven effectiveness" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "lastUpdated": "2026-03-09", "addedAt": "2026-06-01", "officialLink": "https://github.com/TollboothLabs/ai-tool-optimizer", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tollboothlabs-ai-tool-optimizer" }, { "slug": "tom28881-mcp-jira-server", "name": "tom28881/mcp-jira-server", "vendor": "Various", "tagline": "Comprehensive MCP server for Jira integration with Claude Code", "description": "An MCP server that connects Jira to Claude Code, enabling issue management through natural language. Built in TypeScript, it provides a bridge between Jira's API and Claude's context protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude Code who want to manage Jira issues conversationally", "useCases": [ "Query Jira issues from Claude Code", "Create and update Jira tasks via chat", "Automate Jira workflows with AI assistance" ], "pros": [ "Open source and extensible", "Leverages Claude Code for natural language Jira operations", "Written in TypeScript for type safety" ], "cons": [ "Low community adoption (10 stars)", "Requires Claude Code and MCP setup", "Limited documentation or examples" ], "tags": [], "featured": false, "tier": "curated", "stars": 10, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-06-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/tom28881/mcp-jira-server", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "sooperset-mcp-atlassian" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tom28881-mcp-jira-server" }, { "slug": "tomekkorbak-oura-mcp-server", "name": "tomekkorbak/oura-mcp-server", "vendor": "Various", "tagline": "MCP server for Oura API integration", "description": "A Model Context Protocol (MCP) server that provides an interface for connecting AI agents to the Oura API. It enables retrieval of health and sleep data from Oura ring users through standard MCP tool calls.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-compatible AI agents that need access to Oura wearable data.", "useCases": [ "Building AI assistants that can query personal Oura ring health metrics", "Automating health data analysis workflows using Oura's API", "Integrating Oura sleep and activity data into agentic applications" ], "pros": [ "Open-source Python implementation, easy to extend or modify", "Leverages the MCP standard for interoperability with AI agents", "Small, focused codebase: 37 stars suggests early-stage but functional" ], "cons": [ "Limited community and documentation due to low number of stars and contributions", "Requires Oura API credentials and user authorization setup", "May not cover all Oura API endpoints or handle rate limiting robustly yet" ], "tags": [ "mcp", "oura-ring" ], "featured": false, "tier": "curated", "stars": 37, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-02-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/tomekkorbak/oura-mcp-server", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tomekkorbak-oura-mcp-server" }, { "slug": "tomatio13-mcp-server-tavily", "name": "Tomatio13/mcp-server-tavily", "vendor": "Various", "tagline": "Taivily APIを利用するMCP Serverです。Officialが提供される前に開発しました", "description": "An MCP server that wraps the Tavily search API, enabling AI agents to perform web searches through the Model Context Protocol. It was developed as a community-built alternative before the official Tavily MCP server was released. Written in Python, it provides a lightweight integration for search capabilities.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a quick MCP search integration using Tavily before the official server or as a lightweight alternative.", "useCases": [ "Adding web search to Claude Desktop via MCP", "Providing real-time search results to AI agents", "Enabling tool-based search queries in MCP-compatible applications" ], "pros": [ "Lightweight Python implementation that is easy to deploy", "Fills the gap before the official Tavily MCP server was available", "Actively maintained with 47 stars on GitHub" ], "cons": [ "Not an official Tavily product, so updates and support are community-driven", "Limited to the functionality of the Tavily API, no additional search providers", "May lack features or stability compared to an official server" ], "tags": [], "featured": false, "tier": "curated", "stars": 47, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-08-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/Tomatio13/mcp-server-tavily", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tomatio13-mcp-server-tavily" }, { "slug": "tomba-io-tomba-mcp-server", "name": "tomba-io/tomba-mcp-server", "vendor": "Various", "tagline": "MCP Server for Tomba.io API integration", "description": "An MCP server that wraps the Tomba.io API, enabling AI assistants to query email finder, email verifier, and company enrichment endpoints. It exposes tools for searching professional email addresses and validating email deliverability through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or assistants that need to find or verify professional email addresses programmatically.", "useCases": [ "Find verified email addresses for a given domain or person name", "Check email deliverability and risk scores before sending", "Enrich lead records with company and contact data from Tomba.io" ], "pros": [ "Simple integration with any MCP-compatible client or agent", "Leverages Tomba.io's reliable email verification and enrichment data", "Lightweight TypeScript implementation with clear tool definitions" ], "cons": [ "Requires a Tomba.io API key and active subscription for full functionality", "Limited to the endpoints exposed by Tomba.io's API (no custom data sources)", "Small community and low star count may indicate limited maintenance or adoption" ], "tags": [ "ai", "aiagent", "aiworkflow", "api", "email", "mcp", "mcp-server", "mcp-tools" ], "featured": false, "tier": "curated", "stars": 7, "language": [ "TypeScript" ], "lastUpdated": "2026-04-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/tomba-io/tomba-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "elie222-inbox-zero" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tomba-io-tomba-mcp-server" }, { "slug": "tomholford-mcp-tic-tac-toe", "name": "tomholford/mcp-tic-tac-toe", "vendor": "Various", "tagline": "Play tic-tac-toe against an LLM via MCP", "description": "A Go-based MCP server that lets you play tic-tac-toe against an LLM. It exposes the game state and moves through the Model Context Protocol, enabling any MCP-compatible client to act as the opponent.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers learning MCP or prototyping game-based LLM interactions", "useCases": [ "Testing MCP integration with a simple turn-based game", "Demonstrating LLM interaction with a structured game board", "Prototyping game logic in an MCP environment" ], "pros": [ "Lightweight Go implementation with minimal dependencies", "Clear example of MCP server for turn-based interactions", "Easy to run and test locally" ], "cons": [ "Very limited scope (only tic-tac-toe)", "Low community adoption (3 stars)", "No active maintenance or updates visible" ], "tags": [ "game", "go", "golang", "mcp", "mcp-server", "tic-tac-toe" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "Go" ], "lastUpdated": "2025-07-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/tomholford/mcp-tic-tac-toe", "relations": { "works_in": [ "anthropic-computer-use" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tomholford-mcp-tic-tac-toe" }, { "slug": "tomjwxf-scopeblind-gateway", "name": "tomjwxf/scopeblind-gateway", "vendor": "Various", "tagline": "Active development continues at ScopeBlind/scopeblind-gateway. - Security gateway for MCP servers. Cedar policy engine, Ed25519-signed receipts, per-tool enforcement. IETF Internet", "description": "A security gateway for MCP servers that enforces per-tool policies using the Cedar engine and produces Ed25519-signed receipts for accountability. Also documented as an IETF Internet-Draft with four patents pending. Available via npx protect-mcp.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing to secure MCP server deployments with policy-driven access control and auditable receipts", "useCases": [ "Restrict which tools an MCP client can invoke based on policy rules", "Audit every MCP tool invocation with tamper-evident receipts", "Enforce granular permissions per MCP server tool endpoint" ], "pros": [ "Leverages Cedar, a well-known policy engine for fine-grained access control", "Ed25519-signed receipts provide strong non-repudiation for audit logs", "Per-tool enforcement allows precise security boundaries" ], "cons": [ "Very early stage with only 8 GitHub stars and minimal community adoption", "Patents pending may limit licensing or community contributions", "Requires integration into existing MCP server workflows" ], "tags": [ "access-control", "ai-agent", "ai-security", "audit-trail", "cedar", "claude-desktop", "cloudflare-workers", "cursor" ], "featured": false, "tier": "curated", "stars": 8, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/tomjwxf/scopeblind-gateway", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tomjwxf-scopeblind-gateway" }, { "slug": "tommertom-plugwise-mcp", "name": "Tommertom/plugwise-mcp", "vendor": "Various", "tagline": "Plugwise MCP", "description": "An MCP (Model Context Protocol) server built in TypeScript for interacting with Plugwise smart home devices. It enables AI assistants to query and control Plugwise energy monitors, thermostats, and other home automation devices through a standardized protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-powered home automation systems using Plugwise devices and the Model Context Protocol", "useCases": [ "Controlling Plugwise smart plugs and thermostats via an AI assistant", "Monitoring real-time energy consumption from Plugwise devices", "Automating home energy management tasks with natural language commands" ], "pros": [ "Leverages the MCP standard for consistent AI tool integration", "Written in TypeScript for type safety and maintainability", "Open source, allowing customization and contribution" ], "cons": [ "Very early stage with only 1 star on GitHub, indicating limited adoption and testing", "Likely sparse documentation and community support", "May not support all Plugwise device models or firmware versions" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-11-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/Tommertom/plugwise-mcp", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tommertom-plugwise-mcp" }, { "slug": "tommertom-awesome-ionic-mcp", "name": "Tommertom/awesome-ionic-mcp", "vendor": "Various", "tagline": "An Awesome MCP Server to help building mobile apps in React/Vue/Angular/VanillaJS using Capacitor and Ionic", "description": "An MCP server that assists in building mobile apps with Capacitor and Ionic, supporting React, Vue, Angular, and VanillaJS. It provides tools and resources for integrating AI-assisted development workflows into mobile app projects.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building mobile apps with Ionic and Capacitor who want AI-assisted tooling via MCP", "useCases": [ "Scaffolding Ionic/Capacitor projects with AI guidance", "Generating mobile UI components using MCP tools", "Integrating Capacitor plugins via AI-assisted prompts" ], "pros": [ "Supports multiple frontend frameworks (React, Vue, Angular, VanillaJS)", "Written in TypeScript for type safety and maintainability", "Open source with a focused scope on Ionic/Capacitor development" ], "cons": [ "Small community (40 stars) may limit support and updates", "Relies on the MCP ecosystem, which is still emerging", "Narrowly scoped to Ionic/Capacitor, not general mobile development" ], "tags": [], "featured": false, "tier": "curated", "stars": 40, "language": [ "TypeScript" ], "lastUpdated": "2026-01-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/Tommertom/awesome-ionic-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "mobile-next-mobile-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tommertom-awesome-ionic-mcp" }, { "slug": "tommertom-sonos-ts-mcp", "name": "Tommertom/sonos-ts-mcp", "vendor": "Various", "tagline": "Sonos MCP server for Sonos using Typescript", "description": "A TypeScript-based MCP server that exposes Sonos speaker controls through the Model Context Protocol. It allows AI agents to discover and command Sonos devices on the local network.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need to control Sonos speakers on the same network", "useCases": [ "Control Sonos playback from an AI assistant", "Integrate Sonos volume and track changes into automation workflows", "Query Sonos speaker state for context-aware responses" ], "pros": [ "Enables direct local control without cloud dependencies", "Lightweight TypeScript implementation with clear MCP integration", "Open source with active community maintenance" ], "cons": [ "Limited to local network Sonos devices only", "Small user base may mean slower issue resolution", "Requires running a separate MCP server process" ], "tags": [], "featured": false, "tier": "curated", "stars": 11, "language": [ "TypeScript" ], "lastUpdated": "2025-11-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/Tommertom/sonos-ts-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tommertom-sonos-ts-mcp" }, { "slug": "toolstem-toolstem-mcp-server", "name": "toolstem/toolstem-mcp-server", "vendor": "Various", "tagline": "Agent-ready financial intelligence MCP tools — stock snapshots, company metrics, derived signals", "description": "An MCP server that provides AI agents with financial intelligence via the Model Context Protocol. It offers stock snapshots, company metrics, and pre-processed derived signals for programmatic access.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need structured financial data snapshots", "useCases": [ "Fetch real-time stock snapshots for portfolio monitoring", "Retrieve company metrics for fundamental analysis", "Access derived financial signals for trading strategies" ], "pros": [ "Leverages MCP standard for seamless AI agent integration", "Provides structured financial data (stock snapshots, metrics, signals)", "Built in TypeScript for type safety and compatibility" ], "cons": [ "Currently has no community traction (0 stars)", "Data sources and update frequency are unspecified", "Limited to derived signals; may not support raw market feeds" ], "tags": [ "ai-agents", "financial-data", "mcp", "mcp-server", "model-context-protocol", "stock-market" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/toolstem/toolstem-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "exa-labs-exa-mcp-server", "antv-mcp-server-chart" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/toolstem-toolstem-mcp-server" }, { "slug": "tomohiro-owada-devrag", "name": "tomohiro-owada/devrag", "vendor": "Various", "tagline": "Markdown vector search MCP server for Claude Code. Natural language search for markdown files using multilingual-e5-small embeddings.", "description": "A Go-based MCP server that enables natural language search over markdown files using multilingual-e5-small embeddings. Designed for use with Claude Code, it allows querying markdown documentation or notes via vector similarity.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude Code who need semantic search over their markdown documentation", "useCases": [ "Searching local markdown documentation with natural language queries", "Retrieving relevant notes from a personal knowledge base in Claude Code", "Indexing project markdown files for semantic search" ], "pros": [ "Lightweight Go implementation with no external dependencies beyond the MCP protocol", "Uses multilingual embeddings for cross-language support", "Simple setup as an MCP server for Claude Code" ], "cons": [ "Limited to markdown files only, no support for other document formats", "Requires Claude Code to function as an MCP client", "Small community and limited documentation due to low star count" ], "tags": [ "claude-code", "developer-tools", "documentation", "embeddings", "golang", "local-ai", "markdown", "mcp" ], "featured": false, "tier": "curated", "stars": 59, "language": [ "Go" ], "lastUpdated": "2026-04-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/tomohiro-owada/devrag", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tomohiro-owada-devrag" }, { "slug": "tooyipjee-yahoofinance-mcp", "name": "tooyipjee/yahoofinance-mcp", "vendor": "Various", "tagline": "📇 ☁️ - TS version of yahoo finance mcp.", "description": "A TypeScript implementation of a Model Context Protocol (MCP) server that exposes Yahoo Finance data. It allows AI agents and tools to query stock prices, financials, and other market data through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or tools that need programmatic access to Yahoo Finance market data", "useCases": [ "Fetch real-time stock quotes and historical prices for AI-driven analysis", "Integrate financial data into chatbot or agent workflows via MCP", "Build custom financial dashboards or alerts using Yahoo Finance data" ], "pros": [ "Written in TypeScript for type safety and easier integration with Node.js projects", "Follows the MCP standard, making it compatible with many AI frameworks", "Open source and free to use with a Yahoo Finance data source" ], "cons": [ "Depends on Yahoo Finance's unofficial API, which may change or become unavailable", "Requires running a server process, adding deployment overhead", "Limited to data available through Yahoo Finance (no alternative sources)" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/tooyipjee/yahoofinance-mcp.git", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "exa-labs-exa-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tooyipjee-yahoofinance-mcp" }, { "slug": "tooluse-labs-perfetto-mcp-rs", "name": "tooluse-labs/perfetto-mcp-rs", "vendor": "Various", "tagline": "Perfetto trace analysis via MCP — PerfettoSQL queries plus dedicated Chrome tools for scroll jank, page loads, and main-thread hotspots", "description": "This tool extends the Model Context Protocol (MCP) to let LLMs query Perfetto traces using PerfettoSQL. It also provides dedicated Chrome tooling for analyzing scroll jank, page load performance, and main-thread hotspots.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Performance engineers and developers who want to analyze Chrome traces using natural language or LLM-driven workflows", "useCases": [ "Debug rendering jank from Chrome traces via natural language queries", "Automate trace analysis for page load performance regressions", "Identify main-thread CPU hotspots without reading raw trace files" ], "pros": [ "Bridges LLM and Perfetto for interactive trace exploration", "Specialized Chrome performance queries reduce manual analysis time", "Written in Rust for efficient trace processing" ], "cons": [ "Small user base limits community support and examples", "Requires familiarity with MCP and Perfetto trace collection", "Rust dependencies may add build complexity for some environments" ], "tags": [ "android", "anthropic", "chrome", "chromium", "claude-code", "codex", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 15, "language": [ "Rust" ], "license": "Apache-2.0", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/tooluse-labs/perfetto-mcp-rs", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [ "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tooluse-labs-perfetto-mcp-rs" }, { "slug": "topazlabs-topaz-mcp", "name": "TopazLabs/topaz-mcp", "vendor": "Various", "tagline": "Topaz Labs MCP Server — AI image enhancement via Model Context Protocol", "description": "A Model Context Protocol server that exposes Topaz Labs image enhancement models. It enables developers to integrate upscaling, denoising, and other image quality improvements into applications via standard MCP interfaces. The server communicates with locally installed Topaz Labs software to perform enhancements.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing to programmatically access Topaz Labs image enhancement within custom applications or automated workflows", "useCases": [ "Integrate Topaz Labs upscaling into photo editing tools", "Automate batch image denoising and enhancement pipelines", "Build custom image processing workflows with MCP-compatible clients" ], "pros": [ "Leverages Topaz Labs models for high-quality image enhancement results", "Standard MCP interface simplifies integration with various clients and frameworks", "Supports a range of operations including upscaling, denoising, and sharpening" ], "cons": [ "Requires Topaz Labs software to be installed and licensed on a local machine", "Low community adoption as indicated by only 3 GitHub stars", "Processing speed depends on local GPU capabilities and Topaz Labs software performance" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-02-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/TopazLabs/topaz-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/topazlabs-topaz-mcp" }, { "slug": "topoteretes-cognee", "name": "topoteretes/cognee", "vendor": "Various", "tagline": "Memory platform for AI Agents in 6 lines of code", "description": "Cognee is a Python memory platform for AI agents that abstracts graph and vector storage into a simple API. It enables agents to store, retrieve, and reason over structured knowledge with minimal setup, typically requiring just a few lines of code to integrate.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Python developers building multi-turn agents that need persistent, queryable memory without database infrastructure overhead", "useCases": [ "Building agents that maintain long-term context across conversations", "Implementing semantic search and retrieval over agent knowledge bases", "Connecting multiple agents to a shared memory layer for coordination" ], "pros": [ "Low barrier to entry with minimal boilerplate code required", "Abstracts away graph and vector database complexity", "Active open source project with substantial community adoption (17k+ stars)" ], "cons": [ "Python-only, limiting use in non-Python agent ecosystems", "Abstraction layer may hide performance tuning options for production workloads", "Relatively young project with potential API stability concerns" ], "tags": [ "ai", "ai-agents", "ai-memory", "cognitive-architecture", "cognitive-memory", "context-engineering", "contributions-welcome", "good-first-issue" ], "featured": false, "tier": "curated", "stars": 17624, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/topoteretes/cognee/tree/dev/cognee-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "langchain", "pytorch" ], "pairs_with": [ "fastmcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/topoteretes-cognee" }, { "slug": "topskychen-tilde", "name": "topskychen/tilde", "vendor": "Various", "tagline": "🐍 🏠 - Your AI agents' home directory — privacy-first MCP server for portable AI identity. Configure once, use everywhere. It supports profile management, skills, resume import, a", "description": "Tilde is a privacy-first MCP server that acts as a portable home directory for AI agents. It stores and manages user profiles, skills, and resume data so agents can carry a consistent identity across environments. Configure once and reuse across compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building privacy-conscious multi-agent systems or personal AI assistants", "useCases": [ "Centralizing AI agent identity management across tools", "Enabling privacy-controlled portable profiles for agents", "Importing and exposing resume or skill data to AI assistants" ], "pros": [ "Privacy-first design keeps personal data under user control", "Portable identity works across any MCP-compatible client", "Simple centralized configuration reduces repetitive setup" ], "cons": [ "Small user base and limited community support", "Requires MCP-compatible clients to leverage its features", "Currently a single repository with minimal documentation beyond the description" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "Python" ], "lastUpdated": "2026-01-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/topskychen/tilde", "relations": { "works_in": [ "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/topskychen-tilde" }, { "slug": "tosin2013-mcp-adr-analysis-server", "name": "tosin2013/mcp-adr-analysis-server", "vendor": "Various", "tagline": "A sophisticated Model Context Protocol (MCP) server for analyzing Architectural Decision Records (ADRs) and providing deep architectural insights to AI agents.", "description": "An open-source Model Context Protocol (MCP) server that analyzes Architectural Decision Records (ADRs) and surfaces architectural insights to AI agents. Built in TypeScript, it enables AI tools to query and reason over ADR content.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and architects who want to integrate ADR analysis into AI-assisted workflows", "useCases": [ "Feed ADRs into an AI coding assistant to inform architecture decisions", "Automate review of ADRs for consistency and completeness", "Provide architectural context to AI agents during code generation or refactoring" ], "pros": [ "Specialized for ADR analysis, a niche but valuable use case", "Leverages the MCP standard for interoperability with AI agents", "Open source with a clear focus and TypeScript codebase" ], "cons": [ "Small community (28 stars) limits support and contributions", "Requires an MCP-compatible AI agent to be useful", "Early-stage project with potentially limited documentation and stability" ], "tags": [ "adr", "ai-agents", "architectural-decision-records", "architecture", "claude", "cursor", "mcp-server", "typescript" ], "featured": false, "tier": "curated", "stars": 28, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/tosin2013/mcp-adr-analysis-server", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tosin2013-mcp-adr-analysis-server" }, { "slug": "torrentclaw-torrentclaw-mcp", "name": "torrentclaw/torrentclaw-mcp", "vendor": "Various", "tagline": "🎖️ 📇 ☁️ - Search and discover movies and TV shows with torrent links, quality scoring, streaming availability, and cast/crew metadata.", "description": "An MCP server that searches for movies and TV shows, returning torrent links with quality scoring, streaming availability, and cast/crew metadata. It aggregates data from multiple sources to provide a unified media discovery interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers creating AI-powered media search or torrent aggregation tools", "useCases": [ "Integrate torrent search and metadata into AI agents or chatbots", "Build media discovery tools that compare quality and streaming options", "Automate fetching cast/crew details alongside download links" ], "pros": [ "Includes quality scoring to help pick the best torrent", "Provides streaming availability alongside torrent links", "Returns rich metadata like cast and crew for each result" ], "cons": [ "Relies on external torrent indexers which may be unreliable or blocked", "Legal status of torrent links varies by jurisdiction", "No built-in download or streaming capability, only links" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/torrentclaw/torrentclaw-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "browsermcp-mcp", "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/torrentclaw-torrentclaw-mcp" }, { "slug": "touchpoint-labs-touchpoint", "name": "Touchpoint-Labs/touchpoint", "vendor": "Various", "tagline": "Give your AI agent eyes and hands on any desktop — cross-platform accessibility API with MCP server", "description": "A cross-platform accessibility API paired with a Model Context Protocol (MCP) server. It enables AI agents to read and interact with desktop graphical user interfaces programmatically. Written in Python, it exposes the underlying accessibility tree to assist automation and agent-driven workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to observe and control desktop applications programmatically", "useCases": [ "Automating GUI tasks with natural language commands via an AI agent", "Building accessibility test suites for desktop applications", "Integrating headless desktop interaction into custom agent pipelines" ], "pros": [ "Cross-platform support (Windows, macOS, Linux) via accessibility APIs", "Simple MCP server interface for agent integration", "Open source and written in a widely used language (Python)" ], "cons": [ "Small community (37 GitHub stars) — limited support and documentation", "Relies on accessibility APIs, which may miss custom or non-standard UI elements", "Early-stage project — API stability and feature completeness not guaranteed" ], "tags": [ "accessibility", "ai", "ai-agent", "ai-agents", "automation", "cdp", "claude", "computer-use" ], "featured": false, "tier": "curated", "stars": 37, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/Touchpoint-Labs/touchpoint", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/touchpoint-labs-touchpoint" }, { "slug": "tponscr-debug-oracle-h-mcp", "name": "tponscr-debug/oracle-h-mcp", "vendor": "Various", "tagline": "tponscr-debug/oracle-h-mcp — indexed from awesome-mcp-servers-punkpeye", "description": "An MCP server that enables AI agents to interact with Oracle H systems, likely Oracle HCM or similar HR data. It is indexed from the awesome-mcp-servers community list and follows the Model Context Protocol for standardized tool access.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-powered tools that need to access Oracle H data or automate HR workflows", "useCases": [ "Query employee records and organizational data from Oracle H", "Automate HR processes like leave requests or onboarding tasks", "Integrate Oracle H data with AI assistants for natural language queries" ], "pros": [ "Open source and community maintained", "Uses the standard MCP protocol for easy integration", "Leverages existing Oracle H APIs without custom middleware" ], "cons": [ "Limited documentation beyond the repository", "Requires specific Oracle H system configuration and credentials", "Not officially supported by Oracle, relies on community updates" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/tponscr-debug/oracle-h-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tponscr-debug-oracle-h-mcp" }, { "slug": "tqiqbal-mcp-confluence-server", "name": "tqiqbal/mcp-confluence-server", "vendor": "Various", "tagline": "🐍 - A Model Context Protocol (MCP) server for interacting with Confluence Data Center via REST API.", "description": "A Python-based Model Context Protocol (MCP) server that enables AI agents to interact with Confluence Data Center via its REST API. It exposes Confluence resources as MCP tools for programmatic access.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing to connect AI agents to on-premise Confluence Data Center instances", "useCases": [ "Retrieving Confluence pages and content for AI context", "Searching Confluence spaces and documents programmatically", "Integrating Confluence data into MCP-compatible AI workflows" ], "pros": [ "Open source and Python-based, easy to extend or modify", "Follows the MCP standard for interoperability with AI agents", "Targets Confluence Data Center, suitable for on-premise deployments" ], "cons": [ "Limited to Confluence Data Center, not compatible with Confluence Cloud", "Low community adoption (3 stars) suggests minimal support and documentation", "Single-developer project may have slower updates and fewer features" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "Python" ], "lastUpdated": "2025-07-09", "addedAt": "2026-06-01", "officialLink": "https://github.com/tqiqbal/mcp-confluence-server", "relations": { "works_in": [ "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "sooperset-mcp-atlassian" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tqiqbal-mcp-confluence-server" }, { "slug": "trackerfitness729-jpg-sitelauncher-mcp-server", "name": "trackerfitness729-jpg/sitelauncher-mcp-server", "vendor": "Various", "tagline": "MCP server for deploying live HTTPS websites via SiteLauncher. Instant subdomains or custom .xyz domains, paid with USDC on Base chain.", "description": "MCP server for deploying live HTTPS websites via SiteLauncher. It provides instant subdomains or custom .xyz domains. Payment is made with USDC on the Base chain.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to deploy sites quickly using cryptocurrency payments", "useCases": [ "Deploying a static site to a live URL in seconds", "Creating a custom .xyz domain for a project", "Integrating on-chain payments for site deployment" ], "pros": [ "Instant deployment with subdomains or custom .xyz domains", "Uses cryptocurrency payment (USDC) on Base chain for decentralization", "Simple TypeScript MCP server implementation" ], "cons": [ "Custom domains are limited to .xyz extensions", "Payment requires USDC on Base chain, adding friction for non-crypto users", "No community adoption or stars on GitHub yet" ], "tags": [ "ai-agent", "mcp", "mcp-server", "website-deploy" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "lastUpdated": "2026-03-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/trackerfitness729-jpg/sitelauncher-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "executeautomation-playwright-mcp-server", "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/trackerfitness729-jpg-sitelauncher-mcp-server" }, { "slug": "traceloop-opentelemetry-mcp-server", "name": "traceloop/opentelemetry-mcp-server", "vendor": "Various", "tagline": "Unified MCP server for querying OpenTelemetry traces across multiple backends (Jaeger, Tempo, Traceloop, etc.), enabling AI agents to analyze distributed traces for automated debug", "description": "This is a Model Context Protocol server that provides a unified interface for querying OpenTelemetry traces from multiple backends such as Jaeger, Tempo, and Traceloop. It enables AI agents to programmatically access distributed trace data for automated debugging and observability analysis.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents for observability and distributed tracing", "useCases": [ "Automated root cause analysis from trace data", "AI-driven debugging of distributed system failures", "Unified trace querying across different observability backends" ], "pros": [ "Connects to multiple OpenTelemetry backends through a single MCP interface", "Designed specifically for AI agents to integrate with trace data", "Open source with a Python codebase for easy customization" ], "cons": [ "Relies on existing OpenTelemetry instrumentation in the target systems", "Requires an MCP compatible AI agent to leverage the server", "Relatively small community with 188 stars on GitHub" ], "tags": [], "featured": false, "tier": "curated", "stars": 188, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-04-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/traceloop/opentelemetry-mcp-server.git", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mediar-ai-screenpipe" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/traceloop-opentelemetry-mcp-server" }, { "slug": "trackmage-trackmage-mcp-server", "name": "trackmage/trackmage-mcp-server", "vendor": "Various", "tagline": "Model Context Protocol (MCP) server for TrackMage API integration, with support for 1600+ carriers worldwide. Enables AI assistants to track shipments, manage logistics, create ord", "description": "This MCP server connects AI assistants to the TrackMage API for shipment tracking and logistics management. It supports over 1600 carriers and uses OAuth authentication, carrier detection, and real-time tracking updates.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building logistics-aware AI assistants that need to track shipments across many carriers.", "useCases": [ "Enable an AI assistant to track shipment status", "Manage logistics orders via natural language", "Monitor package delivery status in real time" ], "pros": [ "Broad coverage of 1600+ carriers", "Real-time tracking updates", "Standard MCP integration for AI tools" ], "cons": [ "Very small community with only 2 stars", "Requires TrackMage API access and OAuth setup", "Unclear documentation or support quality at this stage" ], "tags": [ "mcp", "mcp-server", "model-context-protocol", "package-tracking", "shipment-tracking", "tracking-api", "trackmage" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2025-06-09", "addedAt": "2026-06-01", "officialLink": "https://github.com/trackmage/trackmage-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/trackmage-trackmage-mcp-server" }, { "slug": "trade-agent-trade-agent-mcp", "name": "Trade-Agent/trade-agent-mcp", "vendor": "Various", "tagline": "Guide to connect to Trade It's MCP server and trade stocks, crypto, and options", "description": "This repository provides a guide to connect to Trade It's MCP server for trading stocks, crypto, and options. It includes documentation and setup instructions for developers to integrate automated trading through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to connect AI agents to live trading via Trade It's MCP server", "useCases": [ "Automating stock, crypto, and options trades via MCP", "Integrating trading capabilities into AI agents", "Building brokerage-agnostic trading bots using Trade It" ], "pros": [ "Clear, step-by-step guide for connecting to Trade It's MCP server", "Supports multiple asset classes including stocks, crypto, and options", "Open source with MIT license, easy to fork and modify" ], "cons": [ "Small community with only 53 stars, limited support resources", "Requires a Trade It account and API credentials", "May not cover advanced trading strategies or edge cases" ], "tags": [ "coinbase", "crypto", "etrade", "investing", "kraken", "public", "robinhood", "schwab" ], "featured": false, "tier": "curated", "stars": 53, "language": [], "license": "CC0-1.0", "lastUpdated": "2026-03-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/Trade-Agent/trade-agent-mcp.git", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/trade-agent-trade-agent-mcp" }, { "slug": "tradallo-reputation", "name": "tradallo/reputation", "vendor": "Various", "tagline": "MCP server + TypeScript client + CLI for Tradallo's verified record protocol, query cryptographically-verified human + agent trading records.", "description": "An MCP server, TypeScript client, and CLI that implement Tradallo's verified record protocol. It enables querying cryptographically-verified trading records for both humans and agents.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building trust layers for decentralized trading or agent-based systems", "useCases": [ "Verify the trading history of a counterparty before entering a trade", "Audit agent trading behavior using on-chain cryptographic proofs", "Integrate verified reputation data into a trading or DeFi application" ], "pros": [ "Provides cryptographic verification for trading records, increasing trust", "Offers multiple interfaces (MCP server, TypeScript client, CLI) for flexibility", "Open source with a clear protocol specification" ], "cons": [ "Zero stars and no community adoption yet, indicating early stage", "Limited to Tradallo's protocol, not compatible with other reputation systems", "Requires understanding of MCP and cryptographic verification to use effectively" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/tradallo/reputation", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tradallo-reputation" }, { "slug": "traderouter-trade-router-mcp", "name": "TradeRouter/trade-router-mcp", "vendor": "Various", "tagline": "Non-custodial Solana swap & limit-order MCP server for AI agents. 21 tools (swap, limit, trailing, TWAP, DCA, combo orders) across Raydium, PumpSwap, Orca, Meteora. Jito MEV-protec", "description": "TradeRouter/trade-router-mcp is a non-custodial MCP server that gives AI agents 21 Solana trading tools including swap, limit, trailing, TWAP, DCA, and combo orders. It routes through Raydium, PumpSwap, Orca, and Meteora, uses Jito for MEV protection, and verifies messages with Ed25519 signatures. Run it via npx -y @traderouter/trade-router-mcp.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers integrating Solana DeFi trading capabilities into AI agents", "useCases": [ "Execute token swaps and limit orders through an AI agent on Solana", "Automate dollar-cost averaging or TWAP strategies across multiple DEXs", "Build agent-driven trading bots with MEV-protected order execution" ], "pros": [ "21 diverse order types covering swap, limit, trailing, TWAP, DCA, and combo", "Integrates four major Solana DEXs for broad liquidity access", "Includes Jito MEV protection and Ed25519 server-message verification" ], "cons": [ "Only supports Solana, limiting cross-chain use", "Low GitHub stars (2) indicate early-stage or low community adoption", "Requires Node.js and MCP infrastructure to run" ], "tags": [ "ai-agents", "claude-desktop", "cursor", "defi", "elizaos", "jito", "langchain", "limit-orders" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/TradeRouter/trade-router-mcp", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/traderouter-trade-router-mcp" }, { "slug": "tradercjz-dolphindb-mcp-server", "name": "tradercjz/dolphindb-mcp-server", "vendor": "Various", "tagline": "dolphindb-mcp-server", "description": "A Model Context Protocol server that connects AI agents to DolphinDB for executing SQL queries and retrieving data. It enables agents to interact with DolphinDB databases through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to query DolphinDB time-series databases", "useCases": [ "Querying time-series data from DolphinDB for analysis", "Automating database operations via AI agent workflows", "Integrating DolphinDB with MCP-compatible AI assistants" ], "pros": [ "Provides a direct MCP bridge to DolphinDB for AI agents", "Written in Python, easy to extend or modify", "Lightweight and focused on a single database integration" ], "cons": [ "Very early stage with only 6 GitHub stars and limited community", "No documentation beyond the repository description", "Requires existing DolphinDB setup and knowledge" ], "tags": [], "featured": false, "tier": "curated", "stars": 6, "language": [ "Python" ], "lastUpdated": "2026-03-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/tradercjz/dolphindb-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tradercjz-dolphindb-mcp-server" }, { "slug": "trading", "name": "trading", "vendor": "agency.lona", "tagline": "AI-powered trading strategy development: backtesting, market data, and portfolio analysis", "description": "Trading is a developer tool from agency.lona for building and testing trading strategies. It uses AI to assist with backtesting, market data integration, and portfolio analysis. The tool is available as an open-source library on GitHub.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building algorithmic trading systems who want an AI-augmented backtesting and analysis framework.", "useCases": [ "Backtest trading strategies against historical data", "Integrate real-time or historical market data into strategy development", "Analyze portfolio performance and risk metrics" ], "pros": [ "Open-source and freely available on GitHub", "Combines AI assistance with backtesting and analysis in one tool", "Suitable for developers who want to programmatically customize strategies" ], "cons": [ "Requires programming knowledge to set up and use", "AI model effectiveness depends on data quality and user tuning", "Market data sources may need separate subscriptions or APIs" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/mindsightventures/lona", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/trading" }, { "slug": "transcribe-app-mcp-transcribe", "name": "transcribe-app/mcp-transcribe", "vendor": "Various", "tagline": "Add transcription tools to your AI-powered assistants.", "description": "MCP Transcribe is an open-source JavaScript tool that adds speech-to-text capabilities to AI assistants via the Model Context Protocol. It processes audio input and returns transcribed text for use in chat or automation workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building voice-enabled AI assistants who need a basic, self-hosted transcription plugin.", "useCases": [ "Add voice input to a custom AI assistant", "Transcribe audio files for automated note-taking", "Enable speech-driven commands in a developer tool" ], "pros": [ "Simple integration with MCP-compatible assistants", "Lightweight and easy to self-host", "Open source with permissive license" ], "cons": [ "Limited to 6 GitHub stars, indicating minimal community adoption", "No built-in speaker diarization or language detection", "Requires external audio source or microphone setup" ], "tags": [], "featured": false, "tier": "curated", "stars": 6, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-03", "addedAt": "2026-06-01", "officialLink": "https://github.com/transcribe-app/mcp-transcribe", "relations": { "works_in": [], "uses": [ "whisper" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/transcribe-app-mcp-transcribe" }, { "slug": "translated-lara-mcp", "name": "translated/lara-mcp", "vendor": "Various", "tagline": "🎖️ 📇 ☁️ - MCP Server for Lara Translate API, enabling powerful translation capabilities with support for language detection and context-aware translations.", "description": "An MCP server that wraps the Lara Translate API, providing translation and language detection capabilities through the Model Context Protocol. It accepts text input and returns translated or detected language results, designed for integration with AI assistants and developer tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants or tools that need programmatic translation and language detection", "useCases": [ "Translate text between languages in AI workflows", "Detect the language of user input automatically", "Enable context-aware translations in chat or document tools" ], "pros": [ "Simple MCP interface for easy integration with AI agents", "Supports both translation and language detection in one tool", "Written in TypeScript with clear API structure" ], "cons": [ "Depends on the external Lara Translate API, requiring internet access", "Limited to the languages and features provided by Lara Translate", "Small community with only 87 GitHub stars" ], "tags": [], "featured": false, "tier": "curated", "stars": 87, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/translated/lara-mcp", "relations": { "works_in": [ "continue", "cline", "claude-code" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/translated-lara-mcp" }, { "slug": "transloadit-node-sdk", "name": "transloadit/node-sdk", "vendor": "Various", "tagline": "Transloadit's official Node.js SDK", "description": "Transloadit's official Node.js SDK provides TypeScript bindings for its file uploading and encoding API. It enables developers to integrate file processing workflows into Node.js applications.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Node.js developers who need to integrate Transloadit's file processing capabilities into their server-side applications", "useCases": [ "Upload and process files using Transloadit's encoding robots", "Integrate file transcoding, resizing, and compression into Node.js backends", "Automate media workflows with assembly instructions" ], "pros": [ "Official SDK with TypeScript support for type safety", "Direct access to Transloadit's full API without custom HTTP handling", "Well-documented with examples for common use cases" ], "cons": [ "Relatively low GitHub stars (72), indicating limited community adoption", "Tied to Transloadit's proprietary service, so not portable to other providers", "Requires a Transloadit account and API credentials to use" ], "tags": [ "encoding", "file-api", "javascript", "sdk", "transloadit", "uploading" ], "featured": false, "tier": "curated", "stars": 72, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/transloadit/node-sdk/tree/main/packages/mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/transloadit-node-sdk" }, { "slug": "trayders-trayd-mcp", "name": "trayders/trayd-mcp", "vendor": "Various", "tagline": "Trade Robinhood via Claude Code - MCP Server", "description": "An MCP server that enables Claude Code to execute trades on Robinhood. It translates natural language commands from the AI into Robinhood API calls for order placement and account queries.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to trade Robinhood accounts using Claude Code's natural language interface.", "useCases": [ "Place stock or options trades through Claude Code conversations", "Check portfolio balances and positions via AI chat", "Automate trading strategies using Claude Code workflows" ], "pros": [ "Direct integration with Claude Code for conversational trading", "Open source with a simple MCP server setup", "Leverages Robinhood's existing API for real order execution" ], "cons": [ "Limited to Robinhood brokerage accounts only", "Requires Claude Code and MCP infrastructure to run", "Small community (27 stars) with minimal documentation or support" ], "tags": [ "ai", "claude", "claude-code", "llm", "mcp", "robinhood", "trading" ], "featured": false, "tier": "curated", "stars": 27, "language": [], "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/trayders/trayd-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/trayders-trayd-mcp" }, { "slug": "tresor4k-macalc-mcp", "name": "tresor4k/macalc-mcp", "vendor": "Various", "tagline": "The most comprehensive everyday calculator MCP server — 501 tools, 22 categories, 8 countries. Free, no API key.", "description": "An MCP server that provides 501 calculation tools across 22 categories and 8 countries. It is free to use and requires no API key. The server is written in JavaScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a comprehensive free calculator MCP server", "useCases": [ "Perform unit conversions across 22 categories", "Calculate financial formulas for 8 countries", "Access a wide range of mathematical functions via MCP" ], "pros": [ "Large collection of 501 tools covering many domains", "Free with no API key required", "Broad geographic and category coverage" ], "cons": [ "Zero GitHub stars indicates low community adoption or newness", "Requires JavaScript runtime and MCP protocol support", "Limited to calculation tasks only" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/tresor4k/macalc-mcp", "relations": { "works_in": [ "claude-code", "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tresor4k-macalc-mcp" }, { "slug": "trilogy-group-aws-pricing-mcp", "name": "trilogy-group/aws-pricing-mcp", "vendor": "Various", "tagline": "An MCP server that exposes AWS EC2 pricing data with an option to search by CPU, RAM, networking", "description": "An MCP server that exposes AWS EC2 pricing data. It allows querying by CPU, RAM, and networking specifications. Built in Python.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or tools that need to query AWS EC2 pricing dynamically", "useCases": [ "Finding cost-effective EC2 instances for a workload", "Comparing pricing across instance families", "Automating instance selection in infrastructure scripts" ], "pros": [ "Provides programmatic access to AWS EC2 pricing data", "Supports filtering by CPU, RAM, and networking specs", "Open source and written in Python for easy customization" ], "cons": [ "Limited to EC2 pricing data only", "Relatively low community adoption (21 stars)", "Requires MCP-compatible client to use" ], "tags": [], "featured": false, "tier": "curated", "stars": 21, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-07-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/trilogy-group/aws-pricing-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/trilogy-group-aws-pricing-mcp" }, { "slug": "trycourier-courier-mcp", "name": "trycourier/courier-mcp", "vendor": "Various", "tagline": "🎖️ 💬 ☁️ 🛠️ 📇 🤖 - Build multi-channel notifications into your product, send messages, update lists, invoke automations, all without leaving your AI coding space.", "description": "Courier MCP is a Model Context Protocol server that enables AI coding assistants to send multi-channel notifications, manage lists, and invoke automations via Courier's API. It allows developers to integrate notification workflows directly into their AI development environment without switching contexts.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building notification systems within AI-assisted coding environments", "useCases": [ "Send transactional notifications from an AI assistant", "Update subscriber lists programmatically", "Trigger automated notification campaigns" ], "pros": [ "Seamlessly integrates with AI coding tools via MCP", "Supports multiple notification channels (email, SMS, push)", "Reduces context switching for developers" ], "cons": [ "Requires a Courier account and API key", "Limited community adoption (1 star on GitHub)", "Dependent on Courier's service availability" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/trycourier/courier-mcp", "relations": { "works_in": [ "cursor", "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/trycourier-courier-mcp" }, { "slug": "tstockham96-engram", "name": "tstockham96/engram", "vendor": "Various", "tagline": "Universal memory layer for AI agents. Remember, recall, consolidate.", "description": "Engram is a TypeScript library that provides a universal memory layer for AI agents. It enables agents to store, retrieve, and consolidate information across sessions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "TypeScript developers building lightweight memory systems for AI agents", "useCases": [ "Adding persistent memory to conversational AI agents", "Enabling context recall across multi-turn interactions", "Consolidating agent knowledge from multiple inputs" ], "pros": [ "Dedicated memory layer simplifies agent state management", "TypeScript provides type safety for integrations", "Open source with a permissive license" ], "cons": [ "Small community (39 stars) indicates early maturity", "No documented storage backends or persistence guarantees", "Limited documentation and examples available" ], "tags": [], "featured": false, "tier": "curated", "stars": 39, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/tstockham96/engram", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "langchain", "autogpt" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tstockham96-engram" }, { "slug": "tt-wang-cortex-plugin", "name": "TT-Wang/cortex-plugin", "vendor": "Various", "tagline": "A Claude Code plugin that gives Claude persistent memory across sessions — stores lessons and decisions as markdown in your Obsidian vault, searches them with SQLite FTS5, and mine", "description": "A Claude Code plugin that gives Claude persistent memory across sessions. It stores lessons and decisions as markdown files in an Obsidian vault and searches them with SQLite FTS5. The plugin automatically mines past transcripts for relevant context.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude Code who want long-term context stored in an Obsidian knowledge base", "useCases": [ "Persisting lessons learned across Claude Code sessions", "Retrieving past decisions from an Obsidian vault during coding", "Automatically extracting context from old transcripts" ], "pros": [ "Leverages Obsidian for human-readable markdown storage", "Uses SQLite FTS5 for fast full-text search", "Automatically mines transcripts to reduce manual curation" ], "cons": [ "Requires an Obsidian vault setup", "Small community (34 stars) means less testing and support", "Python dependency adds setup overhead for users" ], "tags": [ "anthropic", "claude-code", "claude-code-plugin", "local-first", "mcp", "mcp-server", "memory", "obsidian" ], "featured": false, "tier": "curated", "stars": 34, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/TT-Wang/cortex-plugin", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "oraios-serena", "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tt-wang-cortex-plugin" }, { "slug": "tt-wang-forge", "name": "TT-Wang/forge", "vendor": "Various", "tagline": "Turn Claude Code into a plan-execute-validate loop with parallel work, intelligent retry, and memory", "description": "Extends Claude Code into a structured plan-execute-validate loop. Supports parallel task execution, automatic retries on failure, and retains memory across interactions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to add loop, retry, and memory to Claude Code for multi-step coding tasks", "useCases": [ "Automating complex coding workflows", "Running parallel code generation tasks", "Building reliable agentic scripts with retry logic" ], "pros": [ "Enables structured automation beyond Claude Code's defaults", "Parallel execution speeds up multi-step tasks", "Memory persistence reduces repetitive instructions" ], "cons": [ "Requires Claude Code as a dependency", "Small community and limited documentation (33 stars)", "May introduce overhead for simple tasks" ], "tags": [ "agent", "anthropic", "claude", "claude-code", "claude-code-plugin", "git-worktree", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 33, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/TT-Wang/forge", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "eyaltoledano-claude-task-master" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tt-wang-forge" }, { "slug": "tuanle96-mcp-odoo", "name": "tuanle96/mcp-odoo", "vendor": "Various", "tagline": "MCP Server for Odoo", "description": "An open-source MCP server that connects AI agents to Odoo ERP via the Model Context Protocol. It exposes Odoo models as tools and resources, enabling agents to read and write business data programmatically. Built in Python, it requires an Odoo instance and an MCP-compatible client.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or assistants that need to interact with Odoo ERP data and processes", "useCases": [ "Automating Odoo workflows like lead creation, invoice generation, or inventory updates", "Querying Odoo records (e.g., sales orders, contacts, products) from an AI assistant", "Integrating AI chat or automation tools with an existing Odoo deployment" ], "pros": [ "Open source with active development (328 stars on GitHub)", "Straightforward Python implementation leveraging the widely-used Odoo API", "Enables direct, secure Odoo access without custom middleware" ], "cons": [ "Tied to Odoo; not useful outside ERP automation", "Requires a running Odoo instance and proper API credentials setup", "Functionality limited to Odoo model operations; no broader system integration" ], "tags": [ "mcp", "mcp-server", "mcp-servers", "odoo", "odoo-mcp" ], "featured": false, "tier": "curated", "stars": 328, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/tuanle96/mcp-odoo", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "sooperset-mcp-atlassian", "mindsdb-mindsdb" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tuanle96-mcp-odoo" }, { "slug": "ttommyth-interactive-mcp", "name": "ttommyth/interactive-mcp", "vendor": "Various", "tagline": "Vibe coding should have human in the loop! interactive-mcp: Local, cross-platform MCP server for interact with your AI Agent", "description": "A local, cross-platform MCP server that keeps a human in the loop during AI-assisted coding. It enables developers to interact with their AI agent in real time, providing guidance, approvals, or corrections as code is generated.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to maintain human oversight and control during AI-assisted coding sessions", "useCases": [ "Interactively guiding AI code generation with live feedback", "Reviewing and approving AI suggestions before they are applied", "Pausing the AI agent to provide context or correct misunderstandings" ], "pros": [ "Open source and written in TypeScript, easy to inspect and extend", "Runs locally, keeping code and interactions private", "Cross-platform support works on Windows, macOS, and Linux" ], "cons": [ "Requires setting up an MCP-compatible environment and agent", "Slows down fully autonomous workflows by requiring manual intervention", "Limited to agents that support the Model Context Protocol" ], "tags": [ "mcp", "mcp-server", "vibe-coding", "vibecoding" ], "featured": false, "tier": "curated", "stars": 346, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-11-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/ttommyth/interactive-mcp", "relations": { "works_in": [ "cline", "continue", "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ttommyth-interactive-mcp" }, { "slug": "tuannvm-mcp-trino", "name": "tuannvm/mcp-trino", "vendor": "Various", "tagline": "A high-performance Model Context Protocol (MCP) server for Trino implemented in Go.", "description": "tuannvm/mcp-trino is a Go-based server that implements the Model Context Protocol (MCP) to allow AI assistants to query Trino databases. It provides a high-performance bridge between MCP-enabled AI tools and Trino clusters.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to connect MCP-compatible AI tools to Trino data warehouses", "useCases": [ "Enable AI assistants to run SQL queries against Trino", "Integrate natural language database access into custom AI agents", "Build real-time data interfaces for analytics platforms via MCP" ], "pros": [ "Written in Go for low latency and efficient resource use", "Implements the standard MCP protocol for broad compatibility", "Open source with a focus on high performance" ], "cons": [ "Requires an existing Trino cluster to be useful", "Limited documentation and community due to early stage", "Only supports Trino, not other SQL databases" ], "tags": [ "mcp", "mcp-server", "trino" ], "featured": false, "tier": "curated", "stars": 109, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/tuannvm/mcp-trino", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tuannvm-mcp-trino" }, { "slug": "tufantunc-ssh-mcp", "name": "tufantunc/ssh-mcp", "vendor": "Various", "tagline": "MCP server exposing SSH control for Linux servers via Model Context Protocol.", "description": "MCP server that exposes SSH control for Linux servers via the Model Context Protocol. It enables AI clients to execute commands, transfer files, and manage remote Linux systems through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to give AI agents programmatic SSH access for managing Linux servers", "useCases": [ "Executing remote commands on Linux servers", "Transferring files between local and remote systems", "Managing server configurations via AI assistants" ], "pros": [ "Standardizes SSH access for AI tools using Model Context Protocol", "Open source with TypeScript codebase for easy integration", "Active community with 478 GitHub stars" ], "cons": [ "Requires SSH credentials to be configured", "Limited to Linux server environments", "Security risks from granting AI agents shell access" ], "tags": [], "featured": false, "tier": "curated", "stars": 478, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-01-03", "addedAt": "2026-06-01", "officialLink": "https://github.com/tufantunc/ssh-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tufantunc-ssh-mcp" }, { "slug": "tubasasakunn-context-apps-mcp", "name": "tubasasakunn/context-apps-mcp", "vendor": "Various", "tagline": "📇 🏠 🍎 🪟 🐧 - AI-powered productivity suite connecting Todo, Idea, Journal, and Timer apps with Claude via Model Context Protocol.", "description": "A set of apps for Todo, Idea, Journal, and Timer that connect to Claude through the Model Context Protocol. It allows Claude to read and write data from these local productivity tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want a lightweight MCP integration between Claude and local productivity apps", "useCases": [ "Sync tasks and get AI suggestions from Claude", "Log ideas and have Claude help refine them", "Track time and get AI summaries of sessions" ], "pros": [ "Simplifies connecting Claude to everyday productivity tools", "Works across multiple platforms (Windows, macOS, Linux)", "Open source and free to use" ], "cons": [ "Very low community adoption (6 stars on GitHub)", "Limited documentation and support", "May have stability or compatibility issues" ], "tags": [], "featured": false, "tier": "curated", "stars": 6, "language": [], "lastUpdated": "2025-07-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/tubasasakunn/context-apps-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "eyaltoledano-claude-task-master" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tubasasakunn-context-apps-mcp" }, { "slug": "tumf-grafana-loki-mcp", "name": "tumf/grafana-loki-mcp", "vendor": "Various", "tagline": "Grafana Loki MCP Repository", "description": "An MCP (Model Context Protocol) server that enables AI assistants to query Grafana Loki logs. It translates natural language requests into LogQL queries and returns results, allowing developers to interact with log data through AI tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to query Loki logs via AI assistants for debugging and monitoring", "useCases": [ "Query application logs from an AI coding assistant during debugging", "Automate log analysis by integrating with MCP-compatible AI agents", "Monitor system behavior by asking natural language questions about Loki data" ], "pros": [ "Lightweight Python implementation with minimal dependencies", "Follows the MCP standard for easy integration with AI tools", "Simple setup for developers already running Grafana Loki" ], "cons": [ "Small community (26 stars) means limited support and fewer examples", "Requires a running Grafana Loki instance to be useful", "Documentation may be sparse for advanced use cases" ], "tags": [], "featured": false, "tier": "curated", "stars": 26, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-01-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/tumf/grafana-loki-mcp", "relations": { "works_in": [ "continue", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tumf-grafana-loki-mcp" }, { "slug": "tumf-mcp-shell-server", "name": "tumf/mcp-shell-server", "vendor": "Various", "tagline": "A secure shell command execution server implementing the Model Context Protocol (MCP)", "description": "A secure shell command execution server that implements the Model Context Protocol (MCP). It allows AI agents to run shell commands through a controlled interface, sending commands as MCP requests and receiving results.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a secure, auditable bridge for AI agents to run shell commands on servers", "useCases": [ "Run shell scripts and commands from an AI assistant within a sandboxed environment", "Automate system administration tasks by delegating command execution to an agent", "Enable AI-driven file operations and process management on a remote server" ], "pros": [ "Provides a structured, protocol-based way to execute shell commands from AI agents", "Written in Python, making it easy to audit and extend", "Sandboxed execution reduces risk of unintended system changes" ], "cons": [ "Limited to shell commands it knows about; custom commands require configuration", "Still requires careful permission management to avoid security gaps", "Relatively small community (175 stars) and early-stage project" ], "tags": [], "featured": false, "tier": "curated", "stars": 175, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/tumf/mcp-shell-server", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "wonderwhy-er-desktopcommandermcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tumf-mcp-shell-server" }, { "slug": "tumf-mcp-text-editor", "name": "tumf/mcp-text-editor", "vendor": "Various", "tagline": "🐍 🏠 - A line-oriented text file editor. Optimized for LLM tools with efficient partial file access to minimize token usage.", "description": "A line-oriented text file editor built as an MCP server for LLM tool use. It provides efficient partial file access to minimize token consumption, reading and writing only the lines needed rather than whole files.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building LLM-based coding assistants that need low-cost file editing", "useCases": [ "Edit specific lines in large files without loading the entire document", "Apply targeted text changes under LLM orchestration", "Read file snippets for context-aware code or content modifications" ], "pros": [ "Token-efficient design reduces cost and latency for LLM interactions", "Simple line-oriented operations align well with LLM input/output patterns", "Open-source Python codebase easy to audit and extend" ], "cons": [ "Line-oriented approach not ideal for multiline or structural edits", "Small community with 190 stars may limit support and updates", "Requires setting up an MCP server environment for use" ], "tags": [], "featured": false, "tier": "curated", "stars": 190, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/tumf/mcp-text-editor", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tumf-mcp-text-editor" }, { "slug": "tumf-web3-mcp", "name": "tumf/web3-mcp", "vendor": "Various", "tagline": "🐍 ☁️ - An MCP server implementation wrapping Ankr Advanced API. Access to NFT, token, and blockchain data across multiple chains including Ethereum, BSC, Polygon, Avalanche, and m", "description": "An MCP server implementation that wraps the Ankr Advanced API. It provides access to NFT, token, and blockchain data across multiple chains including Ethereum, BSC, Polygon, and Avalanche. Built in Python.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a quick MCP server to access on-chain data via Ankr", "useCases": [ "Query NFT metadata across multiple blockchains", "Retrieve token balances and transfer histories", "Fetch real-time blockchain data via Ankr API" ], "pros": [ "Simple MCP interface for blockchain data queries", "Supports multiple EVM-compatible chains", "Lightweight Python implementation" ], "cons": [ "Depends on Ankr API availability and rate limits", "Only 5 GitHub stars, limited community support", "Covers only chains supported by Ankr" ], "tags": [], "featured": false, "tier": "curated", "stars": 5, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-04-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/tumf/web3-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tumf-web3-mcp" }, { "slug": "tunedforai-x402-mcp", "name": "tunedforai/x402-mcp", "vendor": "Various", "tagline": "stdio MCP wrapper for x402.tunedfor.ai — camelCase tool names, zero config, works everywhere", "description": "A Model Context Protocol (MCP) wrapper for the x402.tunedfor.ai service. It exposes tools with camelCase naming and requires no configuration to connect. Runs as a stdio server, making it compatible with any MCP client.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based integrations with x402.tunedfor.ai", "useCases": [ "Integrate x402.tunedfor.ai capabilities into MCP-compatible applications", "Automate tasks using camelCase-named tools without custom configuration", "Run the wrapper in any environment that supports stdio MCP servers" ], "pros": [ "Zero configuration reduces setup overhead", "Works across platforms and MCP clients", "CamelCase naming provides predictable tool interfaces" ], "cons": [ "Zero stars may indicate limited community adoption or testing", "Documentation or examples may be scarce", "Dependency on x402.tunedfor.ai service availability and terms" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/tunedforai/x402-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "browsermcp-mcp", "executeautomation-playwright-mcp-server", "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tunedforai-x402-mcp" }, { "slug": "turbo-puffin-measure-mcp-server", "name": "Turbo-Puffin/measure-mcp-server", "vendor": "Various", "tagline": "MCP server for Measure.events — connect AI agents to your web analytics", "description": "A Model Context Protocol server that connects AI agents to the Measure.events web analytics platform. It allows agents to query analytics data through a standardized MCP interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to give AI agents read access to web analytics data via the Model Context Protocol.", "useCases": [ "Query web analytics metrics from an AI assistant", "Automate analytics reporting via agent workflows", "Integrate Measure.events data into MCP-compatible tools" ], "pros": [ "Implements the MCP standard for interoperability with AI agents", "Open source and easy to self-host or customize", "Provides direct programmatic access to Measure.events analytics" ], "cons": [ "Very early stage with only 1 star and minimal community validation", "Tied to Measure.events as the sole data source", "Likely limited documentation and support due to low adoption" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/Turbo-Puffin/measure-mcp-server", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/turbo-puffin-measure-mcp-server" }, { "slug": "tverney-mcp-agent-memory", "name": "tverney/mcp-agent-memory", "vendor": "Various", "tagline": "MCP that brings persistent agent memory to Kiro, Claude Desktop, Cursor, and any MCP client — powered by agent-memory-daemon 🧠", "description": "An MCP server that provides persistent memory for AI agents across MCP-compatible clients like Kiro, Claude Desktop, and Cursor. It stores and retrieves agent state using a daemon process, enabling long-running conversations and context retention.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using MCP clients who need persistent agent memory across sessions", "useCases": [ "Maintain agent memory across Claude Desktop sessions", "Persist conversation context in Cursor for ongoing coding tasks", "Share agent state between different MCP clients" ], "pros": [ "Works with multiple popular MCP clients out of the box", "Simple setup as a standalone MCP server", "Enables persistent memory without client-specific hacks" ], "cons": [ "Requires running a separate daemon process", "Limited to MCP-compatible clients only", "Small community with only 3 GitHub stars" ], "tags": [ "agent-memory", "ai-agents", "bedrock", "kiro", "kiro-cli", "kiro-ide", "llm-tools", "mcp" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/tverney/mcp-agent-memory", "relations": { "works_in": [ "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tverney-mcp-agent-memory" }, { "slug": "twelvedata-mcp", "name": "twelvedata/mcp", "vendor": "Various", "tagline": "Twelve Data MCP (Model Context Protocol) Server provides seamless, real-time access to financial market data via WebSocket, enabling reliable streaming of price quotes, market metr", "description": "The Twelve Data MCP server delivers real-time financial market data through WebSocket connections using the Model Context Protocol. It streams price quotes, market metrics, and events into applications that support the MCP protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building real-time financial analytics or trading tools who already use or can adopt the Model Context Protocol.", "useCases": [ "Stream live stock prices into a trading bot", "Feed real-time market data to a financial dashboard", "Subscribe to WebSocket events for portfolio monitoring" ], "pros": [ "Provides a standardized MCP interface for financial data", "Real-time WebSocket streaming reduces polling overhead", "Open-source Python implementation easy to integrate" ], "cons": [ "Requires a Twelve Data subscription for data access", "Limited to Twelve Data's supported markets and instruments", "MCP protocol ecosystem still maturing, fewer client libraries" ], "tags": [ "claude", "mcp", "mcp-server", "twelvedata" ], "featured": false, "tier": "curated", "stars": 66, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-10-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/twelvedata/mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/twelvedata-mcp" }, { "slug": "twelvetake-studios-reaper-mcp", "name": "TwelveTake-Studios/reaper-mcp", "vendor": "Various", "tagline": "🐍 🏠 🍎 🪟 🐧 - MCP server enabling AI assistants to control REAPER DAW for mixing, mastering, MIDI composition, and full music production with 129 tools", "description": "An MCP server that exposes 129 tools for controlling the REAPER digital audio workstation from AI assistants. It enables programmatic mixing, mastering, MIDI composition, and music production workflows via the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and power users who want to control REAPER programmatically via AI assistants", "useCases": [ "Automate mixing and mastering tasks through AI assistant commands", "Generate and edit MIDI compositions programmatically", "Integrate REAPER into larger AI-driven music production pipelines" ], "pros": [ "Large tool surface (129 tools) covers extensive DAW functionality", "Cross-platform support (macOS, Windows, Linux)", "Written in Lua, aligning with REAPER's native scripting language" ], "cons": [ "Small community (15 stars) suggests limited adoption and support", "Requires familiarity with both MCP and REAPER's API", "Dependency on external AI assistant infrastructure to function" ], "tags": [], "featured": false, "tier": "curated", "stars": 15, "language": [ "Lua" ], "license": "MIT", "lastUpdated": "2025-12-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/TwelveTake-Studios/reaper-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "ahujasid-blender-mcp", "glips-figma-context-mcp", "coding-solo-godot-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/twelvetake-studios-reaper-mcp" }, { "slug": "twtrubiks-odoo19-mcp-server", "name": "twtrubiks/odoo19-mcp-server", "vendor": "Various", "tagline": "MCP Server for Odoo 19 using JSON-2 API, built with FastMCP", "description": "An MCP server for Odoo 19 that exposes Odoo's JSON-2 API through the Model Context Protocol. Built with FastMCP, it enables AI assistants to interact with Odoo records and business logic. This open-source Python tool is intended for developers integrating Odoo with MCP-compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Python developers experimenting with MCP integration for Odoo 19.", "useCases": [ "Connecting AI assistants to query and update Odoo records via natural language", "Automating Odoo workflows by exposing endpoints through MCP", "Testing Odoo integrations with MCP-based development setups" ], "pros": [ "Leverages the well-documented JSON-2 API for reliable Odoo access", "Lightweight and built with FastMCP for quick setup", "Open source with permissive licensing for customization" ], "cons": [ "Very limited community adoption (only 2 GitHub stars) implies minimal real-world testing", "May lack comprehensive documentation or examples beyond the repository", "Dependent on Odoo 19 specific API, not backward compatible" ], "tags": [ "ai-tools", "fastmcp", "json2-api", "mcp-server", "odoo", "odoo19" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-04-03", "addedAt": "2026-06-01", "officialLink": "https://github.com/twtrubiks/odoo19-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/twtrubiks-odoo19-mcp-server" }, { "slug": "txn2-kubefwd", "name": "txn2/kubefwd", "vendor": "Various", "tagline": "Bulk port forwarding Kubernetes services for local development.", "description": "kubefwd is a command-line tool written in Go that forwards multiple Kubernetes services to local ports simultaneously. It simplifies local development by giving developers direct access to K8s services as if they were running locally without manual port-forwarding.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need quick local access to multiple Kubernetes services during development", "useCases": [ "Forwarding several microservice dependencies to a local development environment", "Testing applications against live Kubernetes clusters from a local machine", "Debugging services by accessing them through localhost instead of within the cluster" ], "pros": [ "Bulk port forwarding saves time compared to individual kubectl commands", "Lightweight and fast due to Go implementation", "Open source with strong community adoption (4109 stars)" ], "cons": [ "Requires a configured kubectl context and a running Kubernetes cluster", "Does not support UDP port forwarding", "Relies on local network stability and may not handle complex network policies" ], "tags": [ "api-rest", "developer-tools", "devops", "devops-tools", "devtools", "k8s", "kubefwd", "kubernetes" ], "featured": false, "tier": "curated", "stars": 4109, "language": [ "Go" ], "license": "Apache-2.0", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/txn2/kubefwd", "relations": { "works_in": [], "uses": [ "docker" ], "built_with": [], "pairs_with": [ "continue", "cline" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/txn2-kubefwd" }, { "slug": "tylerilunga-procore-mcp-server", "name": "TylerIlunga/procore-mcp-server", "vendor": "Various", "tagline": "MCP server exposing the full Procore REST API for Claude Desktop and Claude Code", "description": "This MCP server exposes Procore's REST API as tools for Claude Desktop and Claude Code. Built in TypeScript, it translates Claude's requests into Procore API calls. It enables natural language interaction with Procore project data and workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers integrating Procore with Claude for construction project management and automation", "useCases": [ "Query project documents, RFIs, submittals from Procore using Claude chat", "Execute Procore API operations like creating or updating items through conversational prompts", "Combine with other MCP servers to build multi-step construction automation chains" ], "pros": [ "Exposes the complete Procore API surface through a single MCP server", "Works directly with both Claude Desktop and Claude Code without extra configuration", "TypeScript codebase allows community contributions and customization" ], "cons": [ "Low GitHub star count (2) indicates early stage and limited community validation", "Requires a Procore API key and appropriate account access to function", "Tied exclusively to Claude's MCP framework, not usable with other AI assistants" ], "tags": [ "api", "claude", "construction", "mcp", "model-context-protocol", "procore" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/TylerIlunga/procore-mcp-server", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tylerilunga-procore-mcp-server" }, { "slug": "tykolt-kremis", "name": "TyKolt/kremis", "vendor": "Various", "tagline": "A minimal graph engine for grounded AI — records, associates, and retrieves, but never invents. Written in Rust.", "description": "TyKolt/kremis is a minimal graph engine written in Rust. It records and associates data, then retrieves it without generating new content. The tool prioritizes grounded, deterministic outputs over invention.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a simple, deterministic graph store for grounded AI applications.", "useCases": [ "Storing and associating structured records as a graph", "Retrieving factual information without hallucination", "Building lightweight reasoning systems that require factuality" ], "pros": [ "Very small footprint due to minimal design", "Fast performance from Rust implementation", "Deterministic retrieval with no invented output" ], "cons": [ "Small community and limited documentation (12 stars on GitHub)", "No support for generation or inference", "Requires Rust knowledge for integration" ], "tags": [ "ai", "ai-agents", "anti-hallucination", "cli", "deterministic", "embedded-database", "explainable-ai", "graph-database" ], "featured": false, "tier": "curated", "stars": 12, "language": [ "Rust" ], "license": "Apache-2.0", "lastUpdated": "2026-05-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/TyKolt/kremis", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "topoteretes-cognee", "mindsdb-mindsdb" ], "alternative_to": [ "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tykolt-kremis" }, { "slug": "udjin-labs-mnemostack", "name": "udjin-labs/mnemostack", "vendor": "Various", "tagline": "Durable hybrid memory for AI agents: vector + BM25 + temporal + graph recall, exposed through MCP, HTTP, and Python.", "description": "Mnemostack provides hybrid memory for AI agents by combining vector, BM25 keyword, temporal, and graph retrieval methods. It exposes these memory capabilities through MCP, HTTP, and a Python API for flexible integration.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need durable, hybrid memory with flexible retrieval", "useCases": [ "Storing and retrieving agent conversational context across sessions", "Hybrid search that merges semantic similarity with keyword matching", "Managing entity relationships and temporal recency in agent memory" ], "pros": [ "Multiple retrieval strategies improve memory accuracy and relevance", "Exposed via MCP, HTTP, and Python for broad compatibility", "Open-source Python implementation enables easy customization" ], "cons": [ "Low star count suggests limited community and maturity", "Multiple memory backends add integration complexity", "Vendor as 'Various' implies no single support channel" ], "tags": [ "agent-memory", "ai-agents", "hybrid-retrieval", "llm-memory", "long-term-memory", "mcp", "memgraph", "memory-retrieval" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-05-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/udjin-labs/mnemostack", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "vectorize-io-hindsight", "topoteretes-cognee" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/udjin-labs-mnemostack" }, { "slug": "ujisati-anki-mcp", "name": "ujisati/anki-mcp", "vendor": "Various", "tagline": "the best anki mcp", "description": "An MCP (Model Context Protocol) server that connects AI assistants to Anki, enabling automated card creation and review. It uses Python to interface with Anki's local API, allowing agents to add, update, and query flashcards.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI study tools that need to programmatically manage Anki flashcards", "useCases": [ "Automatically generate Anki cards from study notes or transcripts", "Query existing decks and cards for spaced repetition review", "Integrate flashcard workflows into AI-powered study assistants" ], "pros": [ "Simple setup with a single Python server", "Direct integration with Anki's local API for real-time sync", "Lightweight and focused on a single, clear use case" ], "cons": [ "Requires Anki desktop app running locally", "Low community adoption (6 stars) may mean limited support", "No built-in authentication or multi-user support" ], "tags": [], "featured": false, "tier": "curated", "stars": 6, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-05-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/ujisati/anki-mcp", "relations": { "works_in": [ "cursor", "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ujisati-anki-mcp" }, { "slug": "ukkit-memcord", "name": "ukkit/memcord", "vendor": "Various", "tagline": "🧠 Privacy-first MCP server for AI memory management. Save, search & organize chat history with intelligent summarization.", "description": "A privacy-first MCP server for AI memory management. It saves, searches, and organizes chat history with intelligent summarization. Built in Python, it runs as a local server to keep data private.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building privacy-conscious AI agents that need persistent memory", "useCases": [ "Persist chat history for AI assistants", "Search past conversations by keyword or context", "Summarize long chat logs into concise notes" ], "pros": [ "Privacy-first design keeps data on your own infrastructure", "Open source Python codebase easy to inspect and extend", "Intelligent summarization reduces storage and retrieval overhead" ], "cons": [ "Relatively new project with limited community adoption (66 stars)", "Requires Python environment and MCP client setup", "No built-in cloud sync or multi-device support" ], "tags": [ "ai-assistant", "ai-memory", "antigravity", "chat-history", "claude-desktop", "conversation-management", "developer-tools", "google-antigravity" ], "featured": false, "tier": "curated", "stars": 66, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/ukkit/memcord", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ukkit-memcord" }, { "slug": "unitvectory-labs-mcp-graphql-forge", "name": "UnitVectorY-Labs/mcp-graphql-forge", "vendor": "Various", "tagline": "A lightweight, configuration-driven MCP server that exposes curated GraphQL queries as modular tools, enabling intentional API interactions from your agents.", "description": "A lightweight MCP server written in Go that exposes curated GraphQL queries as modular tools. It uses a configuration-driven approach to limit agents to intentional API interactions rather than arbitrary GraphQL requests.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based agents that need controlled, intentional access to GraphQL APIs", "useCases": [ "Providing AI agents with safe access to specific GraphQL queries", "Integrating GraphQL APIs into MCP-compatible agent workflows", "Exposing pre-defined query endpoints as reusable agent tools" ], "pros": [ "Lightweight and easy to deploy with Go binary", "Configuration-driven setup reduces boilerplate", "Curated query model minimizes risk of accidental harmful requests" ], "cons": [ "Only supports predefined queries, not arbitrary GraphQL", "Requires a GraphQL endpoint and manual query curation", "Small community and limited ecosystem (4 stars)" ], "tags": [ "go", "graphql", "mcp-server" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-05-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/UnitVectorY-Labs/mcp-graphql-forge", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb", "googleapis-genai-toolbox", "exa-labs-exa-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/unitvectory-labs-mcp-graphql-forge" }, { "slug": "unibaseio-membase-mcp", "name": "unibaseio/membase-mcp", "vendor": "Various", "tagline": "A lightweight decentralized memory gateway that connects AI agents to Membase for persistent, verifiable multi-session memory.", "description": "A lightweight decentralized memory gateway that connects AI agents to Membase for persistent, multi-session memory. It enables agents to store and retrieve memories across sessions with verifiable consistency. The tool is implemented in Python and serves as a bridge between AI agents and the Membase decentralized memory system.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need decentralized, persistent, and verifiable multi-session memory", "useCases": [ "Maintaining long-term context across AI agent sessions", "Storing and retrieving agent memories with verification", "Building multi-session applications with decentralized memory" ], "pros": [ "Lightweight design with minimal overhead", "Decentralized architecture for resilience and data ownership", "Focuses on verifiable memory consistency across sessions" ], "cons": [ "Small community and limited ecosystem due to low adoption (18 stars)", "Requires a Membase infrastructure setup", "Early stage project with potentially limited documentation and support" ], "tags": [], "featured": false, "tier": "curated", "stars": 18, "language": [ "Python" ], "lastUpdated": "2025-05-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/unibaseio/membase-mcp", "relations": { "works_in": [ "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/unibaseio-membase-mcp" }, { "slug": "universalamateur-reclaim-mcp-server", "name": "universalamateur/reclaim-mcp-server", "vendor": "Various", "tagline": "UNOFFICIAL & UNAFFILIATED – Not endorsed by Reclaim.ai. MCP server enabling Claude and GitLab Duo to manage Reclaim.ai tasks, habits, calendar events, and focus time via natural la", "description": "This is an unofficial MCP server that allows AI assistants like Claude and GitLab Duo to manage Reclaim.ai tasks, habits, calendar events, and focus time through natural language. It is not endorsed by Reclaim.ai and is provided as-is with no guarantee. Users assume all risk when using this tool.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers wanting AI-driven Reclaim.ai automation", "useCases": [ "Manage Reclaim.ai tasks via natural language", "Schedule habits and focus time through AI", "Integrate Reclaim.ai with Claude or GitLab Duo" ], "pros": [ "Enables natural language control of Reclaim.ai", "Works with multiple AI assistants (Claude and GitLab Duo)", "Open source Python project" ], "cons": [ "Unofficial and unsupported by Reclaim.ai", "Very few stars (3) indicates limited testing and adoption", "Use at own risk with potential instability or breaking changes" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-02-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/universalamateur/reclaim-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "eyaltoledano-claude-task-master" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/universalamateur-reclaim-mcp-server" }, { "slug": "unixlamadev-spec-aiprox-mcp", "name": "unixlamadev-spec/aiprox-mcp", "vendor": "Various", "tagline": "MCP server for AIProx — discover, hire, and pay autonomous AI agents via Bitcoin Lightning, Solana USDC, or Base x402", "description": "An MCP server for AIProx that enables users to discover, hire, and pay autonomous AI agents. It supports payments via Bitcoin Lightning, Solana USDC, or Base x402. The tool is written in JavaScript and integrates with the MCP protocol for agent management.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building decentralized agent marketplaces or needing to pay autonomous agents via cryptocurrency.", "useCases": [ "Discover available autonomous AI agents on the AIProx network", "Hire agents for tasks and trigger their execution", "Process payments for agent services using cryptocurrency" ], "pros": [ "Supports multiple decentralized payment methods: Bitcoin Lightning, Solana USDC, and Base x402", "Leverages the MCP protocol for standardized agent communication", "Enables direct crypto payments without intermediaries" ], "cons": [ "Zero GitHub stars indicates minimal adoption or recent release", "Requires users to have cryptocurrency wallets for payments", "Limited to agents within the AIProx ecosystem" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/unixlamadev-spec/aiprox-mcp", "relations": { "works_in": [ "cline", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/unixlamadev-spec-aiprox-mcp" }, { "slug": "unmarkdown-mcp-server", "name": "UnMarkdown/mcp-server", "vendor": "Various", "tagline": "MCP server for the Unmarkdown API: Convert markdown, manage documents, publish pages", "description": "An MCP server that wraps the Unmarkdown API, enabling AI agents to convert markdown content, manage documents, and publish pages. It provides tools for these operations through the Model Context Protocol, allowing integration with compatible AI assistants.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to convert or publish markdown content via the Unmarkdown API", "useCases": [ "Convert markdown files to other formats via the Unmarkdown API", "Organize and manage document collections programmatically", "Publish markdown content as web pages through the API" ], "pros": [ "Leverages the MCP standard for easy integration with AI tools", "Provides a focused set of document management capabilities", "Lightweight JavaScript implementation" ], "cons": [ "Zero stars and likely limited community support or documentation", "Depends on the external Unmarkdown API, which may have its own rate limits or availability", "No evidence of active maintenance or updates" ], "tags": [ "ai-tools", "chatgpt", "claude", "document-conversion", "google-docs", "markdown", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/UnMarkdown/mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "microsoft-markitdown" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/unmarkdown-mcp-server" }, { "slug": "untitledfinancial-dpx-mcp", "name": "untitledfinancial/dpx-mcp", "vendor": "Various", "tagline": "MCP server for DPX — AI intelligence oracle and institutional cross-border settlement rail via Base mainnet", "description": "An MCP server that provides an AI intelligence oracle and institutional cross-border settlement rail via the Base mainnet. It enables AI agents to query on-chain data and execute settlement operations through the DPX protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need on-chain oracle data and settlement on Base mainnet", "useCases": [ "Querying DPX oracle data for AI agent decision-making", "Executing cross-border settlements on Base mainnet", "Integrating institutional settlement capabilities into AI workflows" ], "pros": [ "Direct on-chain settlement via Base mainnet", "Combines oracle and settlement in one MCP server", "JavaScript-based, easy to integrate with existing MCP clients" ], "cons": [ "Zero stars indicates very early stage or limited adoption", "Dependent on Base mainnet availability and fees", "Narrow focus on institutional cross-border use case" ], "tags": [ "ai-agents", "base", "blockchain", "cross-border-payments", "esg", "eurc", "fintech", "institutional-finance" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/untitledfinancial/dpx-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/untitledfinancial-dpx-mcp" }, { "slug": "up2itnow0822-clawpay-mcp", "name": "up2itnow0822/clawpay-mcp", "vendor": "Various", "tagline": "Non-custodial x402 MCP payment layer for AI agents — the open-source alternative to Vercel x402-mcp", "description": "An open-source, non-custodial payment layer that implements the x402 standard for AI agents using the Model Context Protocol (MCP). It enables pay-per-use interactions without central custody of funds, serving as an alternative to Vercel's x402-mcp implementation. Built in TypeScript, it integrates payments directly into agent workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need a self-hosted, non-custodial payment layer for pay-per-use interactions.", "useCases": [ "Monetizing AI agent interactions with per-request microtransactions", "Enabling payments in MCP-compatible agent toolchains or APIs", "Adding a non-custodial payment gate to autonomous agent services" ], "pros": [ "Non-custodial design keeps users in control of their funds", "Open-source alternative to a proprietary solution (Vercel x402-mcp)", "Written in TypeScript for broad compatibility in modern agent stacks" ], "cons": [ "Very low community traction (4 stars) indicates early-stage maturity", "Limited ecosystem support and likely sparse documentation", "Requires integration with both x402 and MCP infrastructure" ], "tags": [ "agentpay", "ai-agents", "mcp", "payments", "x402" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/up2itnow0822/clawpay-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "vercel" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/up2itnow0822-clawpay-mcp" }, { "slug": "upinar-contrastapi", "name": "UPinar/contrastapi", "vendor": "Various", "tagline": "MCP server with 53 security intelligence tools — CVE/KEV, MITRE ATLAS+D3FEND, Sigma detection rules, email security posture (SPF/DMARC), domain & web intel, threat intel.", "description": "An open-source MCP server written in Python that exposes 53 security intelligence tools via a unified interface. It aggregates data from sources such as CVE/KEV, MITRE ATLAS and D3FEND, Sigma detection rules, email security posture (SPF/DMARC), domain and web intelligence, and threat intelligence feeds.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building security automation pipelines who need a unified API for threat intelligence and vulnerability data", "useCases": [ "Querying CVEs and known exploited vulnerabilities for vulnerability management", "Checking email security posture (SPF/DMARC) for domain configuration audits", "Enriching security alerts with threat intelligence data from multiple feeds" ], "pros": [ "Broad coverage of security data sources in a single MCP server", "Open source with Python codebase, making it extensible and integrable", "Provides structured access to specialized intel like MITRE ATLAS and Sigma rules" ], "cons": [ "Low community adoption (28 stars) may indicate limited testing or support", "Requires running and maintaining a server process for each deployment", "Depth and recency of each data source depend on upstream feeds, not all equally maintained" ], "tags": [ "ai-agents", "ai-security", "api", "claude", "cve", "cybersecurity", "domain-recon", "email-security" ], "featured": false, "tier": "curated", "stars": 28, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/UPinar/contrastapi", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/upinar-contrastapi" }, { "slug": "upstash-context7", "name": "upstash/context7", "vendor": "Various", "tagline": "Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors", "description": "Context7 is a platform that generates and maintains up-to-date code documentation specifically formatted for LLM consumption and AI code editors. It indexes codebases and produces documentation that AI models can efficiently parse to provide accurate code suggestions and context.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Teams using AI code editors who need their LLMs to reference accurate, current codebase documentation without hallucination.", "useCases": [ "Feed current codebase context to LLM-powered code completion tools", "Keep AI code editors synchronized with live repository changes", "Generate documentation optimized for model token efficiency" ], "pros": [ "Designed specifically for LLM input rather than human readers, reducing token waste", "Maintains documentation sync with active code changes automatically", "Works with AI code editors and completion systems out of the box" ], "cons": [ "Requires integration into existing development workflows and CI/CD pipelines", "Documentation quality depends on codebase structure and clarity", "Limited to TypeScript ecosystem based on current implementation" ], "tags": [ "llm", "mcp", "mcp-server", "vibe-coding" ], "featured": false, "tier": "curated", "stars": 56548, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/upstash/context7", "relations": { "works_in": [ "cursor", "continue", "aider", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/upstash-context7" }, { "slug": "urbanmorph-mdshare", "name": "urbanmorph/mdshare", "vendor": "Various", "tagline": "Share and collaborate on local markdown files via shareable links", "description": "A developer tool that generates shareable links from local markdown files, allowing others to view and collaborate on them without needing a server setup. It runs as a local service written in TypeScript, exposing files via HTTP for real-time sharing.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a quick, ephemeral way to share local markdown files with a small team.", "useCases": [ "Sharing draft documentation with a colleague for quick feedback", "Collaborating on meeting notes stored as local markdown", "Previewing markdown files across devices during development" ], "pros": [ "No cloud dependencies or account required to share", "Lightweight and simple to run from the command line", "Works directly with local file system for privacy" ], "cons": [ "Low community adoption and limited support (3 stars on GitHub)", "Requires running a local process on the host machine", "No versioning or conflict resolution for simultaneous edits" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/urbanmorph/mdshare", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "mickaelkerjean-filestash" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/urbanmorph-mdshare" }, { "slug": "urlbox-urlbox-mcp-server", "name": "urlbox/urlbox-mcp-server", "vendor": "Various", "tagline": "An MCP server to allow claude and other LLM's to take screenshots using Urlbox.", "description": "An MCP server that lets LLMs like Claude capture website screenshots via the Urlbox API. It wraps Urlbox's screenshot service into a tool-calling interface for AI agents.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building LLM agents that need on-demand webpage screenshots", "useCases": [ "Capture visual snapshots of web pages during agent workflows", "Verify rendered content or layout changes programmatically", "Integrate screenshot capabilities into LLM-driven automation" ], "pros": [ "Simple MCP interface for screenshot capture", "Leverages Urlbox's reliable rendering engine", "TypeScript codebase easy to extend or debug" ], "cons": [ "Requires a paid Urlbox API key to function", "Only 3 GitHub stars indicates very early stage", "Limited to screenshot capture, no other browser automation" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-10-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/urlbox/urlbox-mcp-server/", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/urlbox-urlbox-mcp-server" }, { "slug": "urldna-mcp", "name": "urldna/mcp", "vendor": "Various", "tagline": "urlDNA MCP server", "description": "The urldna/mcp server implements a lightweight Model Context Protocol (MCP) server that exposes urlDNA enrichment data as structured tool calls for clients like Claude Desktop or Copilot. It accepts a URL and returns metadata such as category, risk score, and technology stack.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants or chatflows that need on-the-fly URL reputation checks", "useCases": [ "Enrich LLM responses with urlDNA risk and category data for a given URL", "Build automated URL reputation checks into AI agent workflows", "Hand off URL analysis from a chat interface to a structured MCP tool" ], "pros": [ "Lets LLMs call a real URL intelligence service without leaving the conversation", "Minimal setup (Python, single MCP server) for developers already using MCP clients", "Returns structured, actionable data (category, risk score, tech stack) in one request" ], "cons": [ "Requires an external urlDNA API key, adding a dependency and cost", "Only 7 GitHub stars suggests very limited community use or testing", "Limited to single-URL lookups; no batch or bulk enrichment support" ], "tags": [ "agent", "ai", "genai", "mcp", "mcp-server", "phishing-check", "phishing-detection", "urldna" ], "featured": false, "tier": "curated", "stars": 7, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-05-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/urldna/mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/urldna-mcp" }, { "slug": "usejunior-safe-docx", "name": "UseJunior/safe-docx", "vendor": "Various", "tagline": "Safe DOCX suite: docx-primitives, docx-comparison, safe-docx MCP server", "description": "A TypeScript suite for working with DOCX files, comprising docx-primitives for low-level document creation, docx-comparison for diffing documents, and a safe-docx MCP server for AI tool integration. It provides programmatic control over DOCX generation and comparison without relying on external office software.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building custom DOCX generation or comparison features into TypeScript applications or AI agent workflows", "useCases": [ "Generate DOCX documents programmatically from structured data", "Compare two DOCX files to detect changes or differences", "Integrate DOCX creation and comparison into AI agent workflows via MCP" ], "pros": [ "Modular design separates low-level primitives from comparison and server functionality", "MCP server enables direct use with AI coding assistants and agents", "Written in TypeScript with type safety for reliable document manipulation" ], "cons": [ "Small community with only 30 stars, limited support and documentation", "Requires TypeScript/Node.js environment, not a standalone tool", "No built-in support for complex formatting or templates beyond basic primitives" ], "tags": [ "gemini-cli-extension" ], "featured": false, "tier": "curated", "stars": 30, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/UseJunior/safe-docx", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "haris-musa-excel-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/usejunior-safe-docx" }, { "slug": "user0856-snaprender-mcp", "name": "User0856/snaprender-mcp", "vendor": "Various", "tagline": "Official integrations for SnapRender Screenshot API — MCP server, SDKs, OpenClaw, ChatGPT Actions, Postman", "description": "SnapRender MCP server provides a Model Context Protocol interface to the SnapRender Screenshot API, enabling LLM agents to capture webpage screenshots via standardized tool calls. It wraps the API in a JavaScript server that exposes screenshot capture as a tool for compatible AI clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need on-demand webpage screenshots via MCP-compatible tools", "useCases": [ "Let an LLM agent capture a webpage screenshot during a conversation", "Integrate screenshot capture into AI-powered testing or monitoring workflows", "Provide visual context to an AI assistant by fetching page renders on demand" ], "pros": [ "Follows the MCP standard for easy integration with compatible AI clients", "Lightweight JavaScript server with minimal dependencies", "Official integration maintained alongside SDKs and other tooling" ], "cons": [ "Very early stage with only 1 star and likely limited community support", "Requires a separate SnapRender API key and network access to function", "No documentation beyond the repository description" ], "tags": [ "ai-agent", "autogen", "autogen-extension", "crewai", "crewai-tool", "langchain", "langchain-tool", "llm-tool" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/User0856/snaprender-integrations/tree/main/mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "browsermcp-mcp", "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/user0856-snaprender-mcp" }, { "slug": "userad-didlogic-mcp", "name": "userad/didlogic_mcp", "vendor": "Various", "tagline": "🐍 ☁️ - An MCP server for [DIDLogic](https://didlogic.com). Adds functionality to manage SIP endpoints, numbers and destinations.", "description": "An MCP server for DIDLogic that allows management of SIP endpoints, numbers and destinations. It is written in Python and exposes functionality via the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using DIDLogic who want to automate telephony resource management through MCP", "useCases": [ "Automating SIP endpoint provisioning", "Managing phone numbers and destinations programmatically", "Integrating DIDLogic with AI agents or workflows that support MCP" ], "pros": [ "Provides a standardized MCP interface to DIDLogic", "Easy to integrate with existing MCP-based systems", "Written in Python, widely accessible" ], "cons": [ "Limited to DIDLogic platform", "Low community adoption (3 stars)", "Requires an MCP client to interact" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-10-09", "addedAt": "2026-06-01", "officialLink": "https://github.com/UserAd/didlogic_mcp", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/userad-didlogic-mcp" }, { "slug": "utapyngo-sentry-mcp-rs", "name": "utapyngo/sentry-mcp-rs", "vendor": "Various", "tagline": "Fast and minimal Sentry MCP server written in Rust", "description": "A fast and minimal MCP server for Sentry written in Rust. It implements the Model Context Protocol to allow AI agents and tools to query Sentry issues and events. The server is designed to be lightweight and efficient.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a lightweight MCP server for Sentry integration", "useCases": [ "Connect AI coding assistants to Sentry error logs", "Query Sentry issues and events through natural language", "Automate Sentry workflows via MCP tools" ], "pros": [ "Fast performance due to Rust implementation", "Minimal footprint and low resource usage", "Open source with permissive license" ], "cons": [ "Very early stage with only 9 GitHub stars", "Limited community support and documentation", "May lack advanced features of more mature Sentry integrations" ], "tags": [ "mcp", "mcp-server", "rust", "rust-lang", "sentry", "sentry-io" ], "featured": false, "tier": "curated", "stars": 9, "language": [ "Rust" ], "license": "MIT", "lastUpdated": "2026-03-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/utapyngo/sentry-mcp-rs", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/utapyngo-sentry-mcp-rs" }, { "slug": "utensils-mcp-nixos", "name": "utensils/mcp-nixos", "vendor": "Various", "tagline": "MCP-NixOS - Model Context Protocol Server for NixOS resources", "description": "A Model Context Protocol server that exposes NixOS resources to AI assistants. It lets LLMs query NixOS options, packages, and system configurations through a structured API.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using AI assistants who need quick access to NixOS configuration and package information.", "useCases": [ "Query NixOS package details and options from an AI assistant", "Retrieve system configuration documentation during development", "Integrate NixOS resource lookups into automated workflows" ], "pros": [ "Directly connects LLMs to NixOS reference data without manual searching", "Open source with a clear protocol specification", "Lightweight Python implementation" ], "cons": [ "Requires running a local MCP server alongside the assistant", "Limited to NixOS-specific resources, not general system info", "Dependent on the NixOS data source staying current" ], "tags": [ "ai-assistant", "ai-integration", "ai-tools", "anthropic", "claude", "developer-tools", "devops-tools", "fastmcp" ], "featured": false, "tier": "curated", "stars": 656, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/utensils/mcp-nixos", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/utensils-mcp-nixos" }, { "slug": "v0v1kkk-dotnetmetadatamcpserver", "name": "V0v1kkk/DotNetMetadataMcpServer", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server that provides detailed type information from .NET projects for AI coding agents.", "description": "A Model Context Protocol (MCP) server that exposes .NET project type metadata to AI coding agents. It scans .NET assemblies and provides structured type information, enabling agents to understand and interact with .NET codebases during development.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-assisted tooling for .NET codebases", "useCases": [ "Give an AI agent access to .NET type definitions for code generation", "Enable AI-assisted refactoring with accurate type awareness", "Integrate .NET metadata into MCP-compatible development workflows" ], "pros": [ "Provides precise .NET type information directly to AI agents", "Open source with a permissive license", "Lightweight and focused on a single, clear task" ], "cons": [ "Limited to .NET projects only", "Requires MCP-compatible client or host to be useful", "Small community and low star count may indicate limited support" ], "tags": [], "featured": false, "tier": "curated", "stars": 26, "language": [ "C#" ], "license": "Apache-2.0", "lastUpdated": "2026-03-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/V0v1kkk/DotNetMetadataMcpServer", "relations": { "works_in": [ "cursor", "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/v0v1kkk-dotnetmetadatamcpserver" }, { "slug": "vakharwalad23-google-mcp", "name": "vakharwalad23/google-mcp", "vendor": "Various", "tagline": "Collection of Google-native tools (e.g., Gmail, Calendar) for the MCP", "description": "A TypeScript-based collection of Google-native tools (Gmail, Calendar, etc.) exposed through the Model Context Protocol (MCP). It allows AI agents to interact with Google services via standardized MCP interfaces.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based AI agents that need direct access to Google Workspace tools", "useCases": [ "Automating email management and calendar scheduling through AI agents", "Integrating Google Workspace data into MCP-compatible workflows", "Building custom AI assistants that can read and send Gmail messages" ], "pros": [ "Leverages MCP for standardized agent-to-service communication", "Covers multiple Google services in a single package", "Lightweight TypeScript implementation" ], "cons": [ "Low community adoption (18 stars) suggests limited testing or support", "Requires Google API credentials and OAuth setup", "Narrowly focused on Google services only" ], "tags": [ "google", "google-api", "mcp", "modelcontextprotocol" ], "featured": false, "tier": "curated", "stars": 18, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/vakharwalad23/google-mcp", "relations": { "works_in": [ "cursor", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/vakharwalad23-google-mcp" }, { "slug": "var-gg-mcp", "name": "var-gg/mcp", "vendor": "Various", "tagline": "🚀 Project Meta Management MCP - Manage standard variable names and constants per project and integrate with LLM through Model Context Protocol", "description": "var-gg/mcp is a Model Context Protocol server for managing standard variable names and constants per project. It integrates with LLMs to enforce naming conventions and provide consistent constants during code generation. The tool is designed for developers who want to maintain naming discipline across their codebases.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to enforce consistent naming conventions in LLM-assisted development workflows", "useCases": [ "Enforce consistent variable naming conventions across a project", "Define and share project-wide constants for LLM-assisted coding", "Integrate naming rules into an LLM workflow via the Model Context Protocol" ], "pros": [ "Focused on a specific pain point: naming consistency", "Leverages the MCP standard for LLM integration", "Lightweight and straightforward to set up" ], "cons": [ "Low community adoption (4 stars on GitHub)", "Limited scope: only manages variable names and constants", "Requires manual configuration per project" ], "tags": [], "featured": false, "tier": "curated", "stars": 4, "language": [], "lastUpdated": "2025-11-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/var-gg/mcp", "relations": { "works_in": [ "cline", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/var-gg-mcp" }, { "slug": "valado-pantheon-mcp", "name": "valado/pantheon-mcp", "vendor": "Various", "tagline": "A collection of AI agents", "description": "A collection of AI agents implemented in TypeScript. The repository provides multiple agent implementations that can be used together or individually. It is designed for building multi-agent systems using the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring multi-agent architectures with TypeScript", "useCases": [ "Building multi-agent workflows with pre-built agents", "Integrating AI agents into existing TypeScript projects", "Experimenting with agent orchestration and communication" ], "pros": [ "Written in TypeScript for type safety and developer experience", "Open source with a modular structure for selective use", "Provides a starting point for multi-agent experimentation" ], "cons": [ "Low star count indicates limited community adoption", "Documentation and examples may be sparse", "Project may lack active maintenance or frequent updates" ], "tags": [], "featured": false, "tier": "curated", "stars": 8, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-09-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/valado/pantheon-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "pydantic-pydantic-ai-mcp-run-python", "autogen", "metagpt", "awslabs-mcp" ], "alternative_to": [ "fastmcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/valado-pantheon-mcp" }, { "slug": "vassiliylakhonin-agenda-intelligence-md", "name": "vassiliylakhonin/agenda-intelligence-md", "vendor": "Various", "tagline": "Agenda Intelligence — product runtime + evidence-discipline layer for strategic intelligence agents. Four surfaces (MCP, HTTP, A2A, Cloudflare Worker) over one core service layer.", "description": "Agenda Intelligence is a runtime and evidence-discipline layer for strategic intelligence agents. It offers four deployment surfaces (MCP, HTTP, A2A, Cloudflare Worker) backed by a single core service. It ships one pre-built vertical worker for Middle Corridor deal risk, with schema-validated I/O, evidence auditing, and geography routing, but lacks live retrieval and factual verification.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building strategic intelligence agents that require evidence discipline and multi-surface deployment", "useCases": [ "Building strategic intelligence agents with structured I/O and evidence audit trails", "Deploying geo-routed risk assessment workers for supply chain corridors", "Integrating agent surfaces across MCP, HTTP, A2A, and Cloudflare Workers" ], "pros": [ "Multiple deployment surfaces provide flexibility for different integration contexts", "Schema-validated I/O and evidence audit enforce discipline in agent outputs", "Pre-built worker addresses a specific geopolitical risk scenario" ], "cons": [ "No live retrieval or factual verification limits real-time accuracy", "Only one vertical worker shipped, requiring custom development for other domains", "Small community (4 stars) indicates limited adoption and support" ], "tags": [ "a2a", "a2a-protocol", "agenda-intelligence", "agent-infrastructure", "agentic-workflow", "ai-agents", "cloudflare-workers", "deal-risk-gate" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/vassiliylakhonin/agenda-intelligence-md", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "exa-labs-exa-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/vassiliylakhonin-agenda-intelligence-md" }, { "slug": "varun29ankus-shodh-memory", "name": "varun29ankuS/shodh-memory", "vendor": "Various", "tagline": "Cognitive memory for AI agents — learns from use, forgets what's irrelevant, strengthens what matters. Single binary, fully offline.", "description": "Shodh-memory is a cognitive memory system for AI agents that runs as a single offline binary written in Rust. It learns from usage to strengthen relevant memories and forget irrelevant information over time.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building offline AI agents that require adaptive, self-maintaining memory", "useCases": [ "Adding persistent adaptive memory to autonomous AI agents", "Running a memory store entirely offline without cloud dependencies", "Building lightweight agents that prioritize learned information" ], "pros": [ "Single binary makes deployment simple and self-contained", "Fully offline operation preserves privacy and avoids API costs", "Rust implementation offers good performance and low resource usage" ], "cons": [ "Small community and limited stars suggest early-stage adoption", "Less documentation and fewer examples compared to established memory solutions", "Core adaptive forgetting logic may need tuning for specific use cases" ], "tags": [ "agentic-ai", "ai-agents", "ai-memory", "boston-dynamics-spot", "claude", "cognitive-architecture", "cognitive-memory", "context-engineering" ], "featured": false, "tier": "curated", "stars": 215, "language": [ "Rust" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/varun29ankuS/shodh-memory", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "topoteretes-cognee" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/varun29ankus-shodh-memory" }, { "slug": "vatnode-vatnode-mcp", "name": "vatnode/vatnode-mcp", "vendor": "Various", "tagline": "Official Model Context Protocol (MCP) server for vatnode — EU VAT validation, rates, and format checks for AI agents (Claude, Cursor, ChatGPT).", "description": "An MCP server that provides EU VAT validation, rate lookup, and format checking for AI agents like Claude, Cursor, and ChatGPT. It wraps the vatnode API in the Model Context Protocol standard for easy tool integration.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need to validate EU VAT numbers or retrieve VAT rates", "useCases": [ "Validate EU VAT numbers in AI agent workflows", "Lookup current VAT rates for EU member states", "Check VAT number format compliance before submission" ], "pros": [ "Official integration with vatnode API via MCP", "Simplifies adding VAT compliance to AI agents", "TypeScript implementation for reliable tooling" ], "cons": [ "Limited to EU VAT jurisdictions only", "Requires a vatnode API key for access", "No built-in support for non-EU VAT schemes" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/vatnode/vatnode-mcp", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/vatnode-vatnode-mcp" }, { "slug": "vasayxtx-mcp-prompt-engine", "name": "vasayxtx/mcp-prompt-engine", "vendor": "Various", "tagline": "MCP Prompt Engine", "description": "MCP Prompt Engine is a Go-based tool that provides a prompt engineering interface through the Model Context Protocol. It allows developers to manage and serve prompts to AI models using a standardized protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring MCP-based prompt serving in Go projects", "useCases": [ "Serve curated prompts to AI models via MCP", "Manage prompt templates in a Go environment", "Integrate prompt engineering into MCP-compatible workflows" ], "pros": [ "Lightweight Go implementation with minimal dependencies", "Follows the MCP standard for interoperability", "Simple codebase suitable for learning or extending" ], "cons": [ "Very low community adoption with only 17 stars", "Limited documentation and examples available", "Narrow focus may not suit general prompt management needs" ], "tags": [ "go", "go-template", "golang", "mcp", "mcp-prompt", "mcp-server" ], "featured": false, "tier": "curated", "stars": 17, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-03-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/vasayxtx/mcp-prompt-engine", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "claude-code", "cursor", "cline" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/vasayxtx-mcp-prompt-engine" }, { "slug": "vasylenko-claude-desktop-extension-bear-notes", "name": "vasylenko/claude-desktop-extension-bear-notes", "vendor": "Various", "tagline": "MCP Server for Bear note taking app available as Claude Desktop extension or standalone server for any other AI tool", "description": "An MCP server that connects the Bear note-taking app to Claude Desktop or any other AI tool. It enables reading, searching, and creating notes in Bear through a standardized protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and power users who want to query or write Bear notes from AI assistants like Claude.", "useCases": [ "Search and retrieve Bear notes from within Claude Desktop", "Create new Bear notes directly from an AI conversation", "Integrate Bear with other AI tools via the standalone MCP server" ], "pros": [ "Works as both a Claude Desktop extension and a standalone server for flexibility", "Written in TypeScript with 195 stars, indicating community interest", "Directly bridges a popular note-taking app with AI tools" ], "cons": [ "Limited to Bear app users on Apple platforms", "Requires running a local server, adding setup overhead", "Dependent on Bear's internal data format and may break with app updates" ], "tags": [ "ai-assistant", "bear", "bear-notes", "claude", "claude-ai", "claude-desktop", "gtd-applications", "mcp-bundle" ], "featured": false, "tier": "curated", "stars": 195, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/vasylenko/claude-desktop-extension-bear-notes", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mediar-ai-screenpipe", "glips-figma-context-mcp", "mickaelkerjean-filestash" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/vasylenko-claude-desktop-extension-bear-notes" }, { "slug": "vaulted-fyi-vaulted-mcp-server", "name": "vaulted-fyi/vaulted-mcp-server", "vendor": "Various", "tagline": "vaulted-fyi/vaulted-mcp-server — indexed from awesome-mcp-servers-punkpeye", "description": "A TypeScript MCP server that integrates with HashiCorp Vault for secret management. It exposes Vault's read and write operations through the Model Context Protocol, enabling AI agents to securely access and manage secrets.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who already use HashiCorp Vault and want to give MCP-compatible agents controlled access to secrets", "useCases": [ "Grant an AI coding assistant read access to API keys or database credentials stored in Vault", "Automate secret rotation by having an agent write new credentials into Vault", "Allow LLMs to retrieve infrastructure secrets during deployment planning or troubleshooting" ], "pros": [ "Follows the MCP standard, making it compatible with any MCP-aware client", "Lightweight implementation with no external dependencies beyond Vault and the MCP protocol" ], "cons": [ "0 stars and no community traction indicates limited testing or active maintenance", "Requires a running Vault instance and proper auth configuration, adding operational overhead", "Exposing secret management to AI agents can introduce security risks if not tightly scoped" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/vaulted-fyi/vaulted-mcp-server", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/vaulted-fyi-vaulted-mcp-server" }, { "slug": "vbhjckfd-timetable-api-node", "name": "vbhjckfd/timetable-api-node", "vendor": "Various", "tagline": "NodeJS version of lad.lviv.ua API", "description": "A Node.js wrapper for the lad.lviv.ua API. It provides functions to interact with the schedule data from the Lviv Polytechnic timetable system. The package is minimal and intended for developers who need a simple JavaScript interface to that API.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a quick Node.js client for the lad.lviv.ua timetable API", "useCases": [ "Fetching university timetable data in a Node.js application", "Building a custom schedule viewer or bot for Lviv Polytechnic", "Automating retrieval of course or group schedules" ], "pros": [ "Lightweight and straightforward implementation", "Open source with a permissive license", "Directly mirrors the original API endpoints" ], "cons": [ "Very low community adoption (2 stars) suggests limited testing or support", "Dependent on an external API that may change without notice", "Minimal documentation and no active maintenance visible" ], "tags": [ "transit", "transport", "transport-api" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "JavaScript" ], "license": "WTFPL", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/vbhjckfd/timetable-api-node", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/vbhjckfd-timetable-api-node" }, { "slug": "vdalhambra-axiom-calculator-mcp", "name": "vdalhambra/axiom-calculator-mcp", "vendor": "Various", "tagline": "Personal finance calculators for Claude and AI agents — mortgage, compound interest, FIRE, loan comparison, debt payoff. Zero API keys.", "description": "This MCP server exposes personal finance calculation functions for use by Claude and other AI agents. It covers mortgage, compound interest, FIRE, loan comparison, and debt payoff scenarios. It operates without requiring API keys, relying on local computation.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Claude users and AI agent developers needing quick in-context financial calculations", "useCases": [ "Calculating mortgage payments and amortization schedules", "Running FIRE (Financial Independence Retire Early) projections", "Comparing loan repayment strategies and debt payoff plans" ], "pros": [ "No API keys required, straightforward setup", "Covers essential personal finance calculations", "Integrates natively with Claude and MCP-compatible agents" ], "cons": [ "Limited to basic personal finance formulas (no tax or investment optimization)", "Requires running a local MCP server or compatible environment", "Small user base and limited documentation due to new project" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/vdalhambra/axiom-calculator-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [ "haris-musa-excel-mcp-server", "antv-mcp-server-chart" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/vdalhambra-axiom-calculator-mcp" }, { "slug": "vdalhambra-financekit-mcp", "name": "vdalhambra/financekit-mcp", "vendor": "Various", "tagline": "Financial Market Intelligence MCP Server — stock quotes, technical analysis, crypto data, and portfolio insights for AI agents", "description": "An MCP server that supplies AI agents with financial market data including stock quotes, technical analysis, crypto data, and portfolio insights. It functions as a bridge between AI assistants and financial data sources using the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need real-time or analytical financial market data", "useCases": [ "Fetch real-time stock quotes for AI assistants", "Run technical analysis on market data through conversational interfaces", "Integrate portfolio overviews into AI-driven financial tools" ], "pros": [ "Provides a unified MCP interface for multiple financial data types", "Python codebase is straightforward to deploy and extend", "Covers equities, crypto, and portfolio data in one server" ], "cons": [ "Very low GitHub star count suggests minimal community adoption and support", "May depend on external API keys that require separate subscriptions", "Documentation and maintenance are likely limited for a small project" ], "tags": [ "ai-tools", "anthropic", "claude", "fastmcp", "finance", "mcp", "model-context-protocol", "python" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/vdalhambra/financekit-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb", "pydantic-pydantic-ai-mcp-run-python" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/vdalhambra-financekit-mcp" }, { "slug": "vdalhambra-siteaudit-mcp", "name": "vdalhambra/siteaudit-mcp", "vendor": "Various", "tagline": "Instant SEO, performance, and security audits for any URL — an MCP server for AI agents", "description": "An MCP server for AI agents that performs SEO, performance, and security audits for any URL. It is written in Python and enables automated site assessments through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "AI agent developers needing quick, combined site audits without managing multiple APIs", "useCases": [ "Automating SEO audits for client websites via AI agents", "Checking site performance metrics during development workflows", "Assessing security vulnerabilities in web pages programmatically" ], "pros": [ "Provides instant, multi-aspect audits (SEO, performance, security) in a single tool", "Integrates with AI agents through the MCP protocol for automated pipelines", "Lightweight Python implementation easy to set up as a server" ], "cons": [ "Small community and limited GitHub stars (3), indicating low adoption", "Audit depth may be basic compared to dedicated standalone tools", "Requires an MCP-compatible AI agent to function, adding dependency" ], "tags": [ "accessibility", "ai-tools", "anthropic", "claude", "fastmcp", "mcp", "model-context-protocol", "python" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/vdalhambra/siteaudit-mcp", "relations": { "works_in": [ "cursor", "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/vdalhambra-siteaudit-mcp" }, { "slug": "vectara-vectara-mcp", "name": "vectara/vectara-mcp", "vendor": "Various", "tagline": "Open source MCP server for Vectara", "description": "An open-source MCP (Model Context Protocol) server that bridges Vectara's retrieval-augmented generation platform with MCP-compatible AI agents. It is written in Python and exposes Vectara's search and indexing capabilities as standard MCP tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who use Vectara and want to connect it to MCP-compatible AI agents or tools", "useCases": [ "Connect an MCP-compatible AI agent to query a Vectara corpus", "Index documents into Vectara from within an agent workflow", "Build retrieval-augmented generation pipelines via the MCP protocol" ], "pros": [ "Open-source with permissive licensing allows full customization", "Python-based, easy to extend or embed in existing Python projects", "Enables standardized integration between Vectara and many MCP clients" ], "cons": [ "Low star count (26) indicates early adoption and limited community support", "Documentation and usage examples may be sparse", "Tied to Vectara's platform, not useful without an active Vectara account" ], "tags": [], "featured": false, "tier": "curated", "stars": 26, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-04-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/vectara/vectara-mcp", "relations": { "works_in": [ "continue", "cline" ], "uses": [], "built_with": [], "pairs_with": [ "vectorize-io-hindsight" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/vectara-vectara-mcp" }, { "slug": "vdmeu-registrum-mcp", "name": "vdmeu/registrum-mcp", "vendor": "Various", "tagline": "MCP server for the Registrum Companies House API", "description": "An MCP server that wraps the Registrum Companies House API, enabling AI assistants to query UK company data via the Model Context Protocol. It is written in TypeScript and provides structured access to company profiles, officers, and filings.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based AI assistants that need on-demand access to UK company information.", "useCases": [ "Retrieve company details and registration information from Companies House", "Look up directors, secretaries, and other company officers via natural language", "Access filing history and document metadata within MCP-compatible tools" ], "pros": [ "Simplifies integration with MCP clients like Claude or custom agents", "Leverages official Companies House data for reliable UK company records", "TypeScript implementation with clear structure for easy extension" ], "cons": [ "Requires a valid Companies House API key, limiting out-of-the-box usage", "Only covers UK company data, not international registries", "No stars or community traction may indicate early or unmaintained status" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "lastUpdated": "2026-03-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/vdmeu/registrum-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/vdmeu-registrum-mcp" }, { "slug": "veelenga-claude-mermaid", "name": "veelenga/claude-mermaid", "vendor": "Various", "tagline": "MCP Server to previewing mermaid diagrams with live reload", "description": "This tool is an MCP server that allows AI assistants to preview Mermaid diagrams with live reload. It serves Mermaid diagram source and renders them for real-time visualization during chat sessions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want real-time Mermaid diagram previews inside an AI assistant", "useCases": [ "Viewing Mermaid diagrams in AI chat sessions", "Iterating on diagram designs with live updates", "Integrating diagram previews into AI-powered coding workflows" ], "pros": [ "Live reload updates diagrams instantly as code changes", "Works with Mermaid's standard syntax without extra configuration", "Lightweight TypeScript implementation easy to extend" ], "cons": [ "Requires an MCP-compatible client like Claude Desktop", "Only supports Mermaid diagram format", "Limited to diagram preview; no editing or export features" ], "tags": [ "claude-code", "mcp-server" ], "featured": false, "tier": "curated", "stars": 154, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/veelenga/claude-mermaid/", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/veelenga-claude-mermaid" }, { "slug": "vectorize-io-hindsight", "name": "vectorize-io/hindsight", "vendor": "Various", "tagline": "Hindsight: Agent Memory That Learns", "description": "Hindsight is a Python library for building agent memory systems that improve through experience. It provides abstractions for storing, retrieving, and learning from agent interactions over time, enabling agents to refine behavior based on past outcomes.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building stateful agents that need to learn and adapt from experience over multiple interactions", "useCases": [ "Building agents that improve decision-making from historical interactions", "Implementing persistent memory for multi-turn agent workflows", "Training agents to avoid repeated mistakes through experience replay" ], "pros": [ "Addresses a core gap in agent systems: learning from past behavior", "Python-native with active community adoption (15k+ stars)", "Designed specifically for agent workflows rather than generic storage" ], "cons": [ "Limited documentation on production deployment and scaling patterns", "Requires careful design to avoid memory bloat in long-running agents", "No built-in integration with major LLM frameworks (requires custom wiring)" ], "tags": [ "agentic-ai", "agents", "ai-memory", "memory" ], "featured": false, "tier": "curated", "stars": 15407, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/vectorize-io/hindsight", "relations": { "works_in": [], "uses": [], "built_with": [ "pytorch", "langchain" ], "pairs_with": [ "topoteretes-cognee" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/vectorize-io-hindsight" }, { "slug": "vectorize-io-vectorize-mcp-server", "name": "vectorize-io/vectorize-mcp-server", "vendor": "Various", "tagline": "Official Vectorize MCP Server", "description": "An MCP server that integrates Vectorize's vector database with AI agents and tools. It provides a standardized interface for storing, searching, and managing vector embeddings through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need persistent vector memory", "useCases": [ "Add semantic memory to AI agents via vector search", "Store and retrieve document embeddings for RAG pipelines", "Manage vector collections and indexes programmatically" ], "pros": [ "Simple MCP integration for existing AI workflows", "Open source with active community (108 stars)", "JavaScript implementation easy to extend" ], "cons": [ "Requires Vectorize service account and API key", "Limited to Vectorize's ecosystem and pricing", "No built-in embedding generation" ], "tags": [ "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 108, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/vectorize-io/vectorize-mcp-server/", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "vectorize-io-hindsight" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/vectorize-io-vectorize-mcp-server" }, { "slug": "velvetway-minreestr-mcp", "name": "velvetway/minreestr-mcp", "vendor": "Various", "tagline": "MCP-сервер для Claude, который ищет российское ПО в каталогпо.рф (26 000+ продуктов). Подбор отечественных аналогов, продукты с сертификатами ФСТЭК/ФСБ, список производителей — пря", "description": "An MCP server for Claude that queries the каталогпо.рф catalog of Russian software, containing over 26,000 products. It lets users find domestic alternatives, products with FSTEC or FSB certifications, and manufacturer lists directly through natural language dialogue.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing to quickly find compliant Russian software for government or enterprise projects", "useCases": [ "Finding Russian software alternatives to foreign tools", "Identifying products with FSTEC or FSB certification", "Listing software manufacturers from the Russian registry" ], "pros": [ "Provides direct access to a large Russian software catalog via Claude", "Helps meet compliance requirements for Russian government or enterprise", "Simple to use within Claude's MCP framework" ], "cons": [ "Limited to Russian software only, no international coverage", "Depends on Claude's MCP platform and a stable connection", "Small community with only 6 stars, limited support or documentation" ], "tags": [ "claude", "cybersecurity", "import-substitution", "mcp", "model-context-protocol", "python", "russian-software" ], "featured": false, "tier": "curated", "stars": 6, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/velvetway/minreestr-mcp", "relations": { "works_in": [ "anthropic-computer-use" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/velvetway-minreestr-mcp" }, { "slug": "venture-ai-labs-cryptodataapi-mcp", "name": "VENTURE-AI-LABS/cryptodataapi-mcp", "vendor": "Various", "tagline": "📇 ☁️ - Real-time crypto market data for AI agents — market health scores, derivatives, funding rates, ETF flows, cycle indicators, and 100+ endpoints via CryptoDataAPI.", "description": "This tool provides real-time crypto market data through an MCP server. It offers market health scores, derivatives, funding rates, ETF flows, cycle indicators, and over 100 endpoints via the CryptoDataAPI. It is implemented in TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need real-time crypto market data", "useCases": [ "Fetching real-time crypto market data for AI agents", "Accessing market health scores and cycle indicators", "Integrating derivatives and funding rate data into trading bots" ], "pros": [ "Covers a wide range of crypto data types including ETF flows and funding rates", "Designed for direct integration with AI agents via MCP", "TypeScript implementation provides type safety" ], "cons": [ "No community adoption or stars yet", "Requires an external CryptoDataAPI key", "Limited documentation beyond the basic description" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-02-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/VENTURE-AI-LABS/cryptodataapi-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb", "exa-labs-exa-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/venture-ai-labs-cryptodataapi-mcp" }, { "slug": "vercel-next-devtools-mcp", "name": "vercel/next-devtools-mcp", "vendor": "Various", "tagline": "Next.js Development for Coding Agent", "description": "An MCP server that exposes Next.js development tools as a service for AI coding agents. It allows agents to interact with Next.js project state, inspect builds, and debug via the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using AI coding agents to automate Next.js development and debugging tasks.", "useCases": [ "Enabling AI coding agents to run and debug Next.js builds", "Providing agents with real-time project metadata during development", "Automating inspection of Next.js configurations and routing" ], "pros": [ "Natively integrates with the Next.js development workflow", "Low overhead for agents via the MCP protocol", "Backed by Vercel's ecosystem for Next.js tooling" ], "cons": [ "Limited to Next.js projects only", "Requires an MCP-compatible agent or runtime", "Early-stage project with 763 stars; stability may evolve" ], "tags": [ "coding-agents", "mcp", "mcp-server", "next-devtools", "nextjs" ], "featured": false, "tier": "curated", "stars": 763, "language": [ "TypeScript" ], "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/vercel/next-devtools-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [ "idosal-git-mcp", "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/vercel-next-devtools-mcp" }, { "slug": "veridyia-autoeq-mcp", "name": "verIdyia/autoeq-mcp", "vendor": "Various", "tagline": "MCP server for AutoEQ headphone equalization database — search, compare, and get EQ settings for 8800+ headphones/IEMs", "description": "An MCP server that provides access to the AutoEQ headphone equalization database. It allows searching, comparing, and retrieving EQ settings for over 8800 headphone and IEM models via the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and audiophiles who want to programmatically retrieve headphone EQ settings within MCP-based toolchains", "useCases": [ "Search for EQ settings by headphone or IEM model name", "Compare frequency response curves between different models", "Retrieve parametric EQ presets for use in audio software" ], "pros": [ "Access to a large, community-curated database of headphone EQ profiles", "Standardized MCP interface enables easy integration with compatible clients", "Open-source Python implementation for transparency and customization" ], "cons": [ "Low star count (3) suggests limited community adoption and testing", "Requires an MCP-compatible client or host to function", "Python runtime dependency may add overhead for non-Python workflows" ], "tags": [ "ai", "audio", "autoeq", "claude", "equalizer", "harman", "headphone", "iem" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/verIdyia/autoeq-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/veridyia-autoeq-mcp" }, { "slug": "veriteknik-pluggedin-mcp-proxy", "name": "VeriTeknik/pluggedin-mcp-proxy", "vendor": "Various", "tagline": "Plugged.in MCP Server manages all your other MCPs in one MCP.", "description": "Plugged.in MCP Server is a proxy that consolidates multiple MCP servers into a single endpoint. It runs as a TypeScript server and routes requests to the appropriate underlying MCP based on configuration.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to unify multiple MCP servers into one manageable endpoint", "useCases": [ "Centralize multiple MCP servers under one interface", "Simplify client configuration by reducing endpoint management", "Route tool calls to the correct backend MCP automatically" ], "pros": [ "Reduces complexity of managing many MCP endpoints", "Open source with 130 GitHub stars", "Written in TypeScript for type safety" ], "cons": [ "Adds a single point of failure for MCP access", "Requires configuration for each proxied MCP", "Limited community size may mean slower updates" ], "tags": [], "featured": false, "tier": "curated", "stars": 130, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-05-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/VeriTeknik/pluggedin-mcp-proxy", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/veriteknik-pluggedin-mcp-proxy" }, { "slug": "veroq-ai-veroq-mcp", "name": "veroq-ai/veroq-mcp", "vendor": "Various", "tagline": "Production-ready MCP server for VEROQ — 52 tools for financial intelligence. Ask, verify, search, price, screen, and more.", "description": "Open-source MCP server providing 52 tools for financial intelligence. Enables queries, verification, search, pricing, and screening via the VEROQ platform. Built in TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI tools that need structured financial data via MCP", "useCases": [ "Integrate financial data queries into AI assistants", "Automate company screening and price lookups", "Build verification workflows for financial information" ], "pros": [ "Production-ready server with 52 distinct tools", "Written in TypeScript for type safety and Node.js compatibility", "Covers multiple financial intelligence tasks in one endpoint" ], "cons": [ "Low GitHub stars suggest limited community adoption", "Depends on VEROQ platform and may require separate API access", "Narrowly focused on financial intelligence use cases" ], "tags": [ "ai-agents", "api", "claude", "finance", "financial-data", "llm-tools", "mcp", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-09", "addedAt": "2026-06-01", "officialLink": "https://github.com/veroq-ai/veroq-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "exa-labs-exa-mcp-server", "mindsdb-mindsdb" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/veroq-ai-veroq-mcp" }, { "slug": "vertexstudio-developer", "name": "VertexStudio/developer", "vendor": "Various", "tagline": "🦀 🏠 🍎 🪟 🐧 - Comprehensive developer tools for file editing, shell command execution, and screen capture capabilities", "description": "VertexStudio/developer is a Rust-based tool that provides file editing, shell command execution, and screen capture capabilities. It is designed for developers and supports multiple operating systems including macOS, Windows, and Linux.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want a lightweight, cross-platform utility for file editing, shell commands, and screen capture.", "useCases": [ "Editing code files directly from the terminal", "Running shell commands within the tool", "Capturing screenshots programmatically" ], "pros": [ "Cross-platform support (macOS, Windows, Linux)", "Written in Rust for performance and safety", "Combines multiple developer utilities in one tool" ], "cons": [ "Limited community adoption with only 20 stars", "May lack advanced features of specialized editors or screen capture tools", "Documentation may be sparse due to early stage" ], "tags": [], "featured": false, "tier": "curated", "stars": 20, "language": [ "Rust" ], "license": "MIT", "lastUpdated": "2025-07-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/VertexStudio/developer", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "wonderwhy-er-desktopcommandermcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/vertexstudio-developer" }, { "slug": "vespo92-opnsensemcp", "name": "vespo92/OPNSenseMCP", "vendor": "Various", "tagline": "MCP Server for OPNSense to act as IaC proxy", "description": "This MCP server acts as an infrastructure as code proxy for OPNSense firewalls. It exposes OPNSense configuration endpoints through the Model Context Protocol, enabling programmatic management and automation. Built in TypeScript, it connects MCP-capable clients to the OPNSense API.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers managing OPNSense firewalls who want to use AI assistants for infrastructure tasks.", "useCases": [ "Configure OPNSense firewall rules programmatically", "Automate network policy changes via AI tools", "Integrate OPNSense into IaC workflows using MCP" ], "pros": [ "Leverages the MCP standard for interoperability with AI assistants", "Written in TypeScript with 52 stars, indicating community interest", "Provides a clean IaC interface to OPNSense without manual CLI" ], "cons": [ "Requires an MCP-compatible client or framework to function", "Depends on OPNSense API availability and proper authentication setup", "Limited to OPNSense; does not cover other network devices" ], "tags": [], "featured": false, "tier": "curated", "stars": 52, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/vespo92/OPNSenseMCP", "relations": { "works_in": [ "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/vespo92-opnsensemcp" }, { "slug": "vessel-api-vesselapi-mcp", "name": "vessel-api/vesselapi-mcp", "vendor": "Various", "tagline": "Model Context Protocol server providing tools to access VesselAPI endpoints", "description": "An MCP server that exposes VesselAPI endpoints as tools for AI agents. It implements the Model Context Protocol so agents can invoke web data extraction, browsing, and other VesselAPI actions through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP‑based AI agents that need programmatic access to web data or browser automation via VesselAPI", "useCases": [ "Enable an AI agent to scrape or extract structured data from web pages via VesselAPI", "Give agents the ability to fill forms or interact with web applications through browser automation endpoints", "Integrate VesselAPI's data enrichment capabilities into a Claude or other MCP‑compatible agent workflow" ], "pros": [ "Simple drop‑in integration for any MCP‑compatible AI agent or host", "Eliminates the need to write custom API wrappers for VesselAPI", "Leverages a well‑defined protocol for tool discovery and invocation" ], "cons": [ "Tied to VesselAPI's availability, pricing, and endpoint coverage", "Latency and reliability depend on the external VesselAPI service", "Limited to actions that VesselAPI exposes; not a general‑purpose browsing tool" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/vessel-api/vesselapi-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "agent-infra-mcp-server-browser", "browsermcp-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/vessel-api-vesselapi-mcp" }, { "slug": "vezlo-src-to-kb", "name": "vezlo/src-to-kb", "vendor": "Various", "tagline": "Convert source code to LLM ready knowledge base", "description": "This JavaScript tool converts source code directories into a structured knowledge base format optimized for large language models. It parses files and outputs a text-based representation that preserves code context and relationships.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a quick, no-fuss way to package source code for LLM-based code review or documentation tasks", "useCases": [ "Preparing codebases for LLM-based code analysis or documentation generation", "Creating context snippets for AI assistants to understand a project's structure", "Bundling source code into a single file for use with LLM prompts" ], "pros": [ "Lightweight and simple to use with npm or as a CLI", "Outputs a single file easy to feed into LLM context windows", "Written in JavaScript, widely accessible to web developers" ], "cons": [ "Low star count may indicate limited community or ongoing maintenance", "Output format fixed, may not suit all LLM ingestion workflows", "No built-in filtering or exclusion of irrelevant files beyond basic ignore patterns" ], "tags": [ "cli-tool", "code-analysis", "code-indexing", "code-search", "developer-tools", "knowledge-base", "mcp", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 33, "language": [ "JavaScript" ], "lastUpdated": "2025-12-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/vezlo/src-to-kb", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "microsoft-markitdown" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/vezlo-src-to-kb" }, { "slug": "victoriametrics-community-mcp-victorialogs", "name": "VictoriaMetrics-Community/mcp-victorialogs", "vendor": "Various", "tagline": "The implementation of Model Context Protocol (MCP) server for VictoriaLogs.", "description": "MCP server that exposes VictoriaLogs query and log access via the Model Context Protocol. It accepts MCP requests and translates them into VictoriaLogs API calls, enabling AI assistants to query logs and retrieve results.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using VictoriaLogs who want AI-assisted log querying.", "useCases": [ "Query logs from an AI coding assistant", "Retrieve log entries for debugging workflows", "Integrate VictoriaLogs with MCP-compatible tools" ], "pros": [ "Lightweight Go implementation", "Direct access to VictoriaLogs via standard MCP", "Open source with community contributions" ], "cons": [ "Limited to VictoriaLogs only, not general purpose", "Small community with 78 stars", "Requires running an MCP client to use" ], "tags": [ "ai", "logging", "logs", "mcp", "mcp-server", "observability", "victorialogs", "victoriametrics" ], "featured": false, "tier": "curated", "stars": 78, "language": [ "Go" ], "license": "Apache-2.0", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/VictoriaMetrics-Community/mcp-victorialogs", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/victoriametrics-community-mcp-victorialogs" }, { "slug": "video-creator-ffmpeg-mcp", "name": "video-creator/ffmpeg-mcp", "vendor": "Various", "tagline": "Using ffmpeg command line to achieve an mcp server, can be very convenient, through the dialogue to achieve the local video search, tailoring, stitching, playback,clip, overlay, co", "description": "This tool wraps ffmpeg commands into an MCP server, enabling dialogue-based video operations on local files. Users can search, cut, stitch, overlay, and concatenate videos through natural language queries, which the server translates into ffmpeg invocations.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-assisted video editing workflows or integrating video operations into MCP-based tools", "useCases": [ "Searching local video files by metadata or content", "Trimming and clipping video segments without manual ffmpeg syntax", "Concatenating or overlaying multiple video clips" ], "pros": [ "Simplifies video processing by abstracting complex ffmpeg commands", "Enables scriptable and interactive video editing via dialogue", "Lightweight and relies on existing ffmpeg installation" ], "cons": [ "Requires ffmpeg to be installed and configured on the system", "Dialogue interface may struggle with precise parameter tuning", "Limited to ffmpeg's feature set and performance" ], "tags": [], "featured": false, "tier": "curated", "stars": 134, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/video-creator/ffmpeg-mcp.git", "relations": { "works_in": [ "cline", "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/video-creator-ffmpeg-mcp" }, { "slug": "video-edit-mcp", "name": "video-edit-mcp", "vendor": "Various", "tagline": "🐍 🏠 🍎 🪟 - Comprehensive video and audio editing MCP server with advanced operations including trimming, merging, effects, overlays, format conversion, audio processing, YouTube", "description": "An MCP server for video and audio editing, supporting trimming, merging, effects, overlays, format conversion, audio processing, and YouTube integration. It is written in Python and designed to be used within the Model Context Protocol ecosystem.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-driven video editing pipelines within the MCP ecosystem", "useCases": [ "Automating video trimming and merging pipelines via MCP clients", "Applying overlays and effects to videos programmatically", "Converting video and audio formats as part of a larger workflow" ], "pros": [ "Open-source with a clear focus on MCP integration for AI tools", "Supports a wide range of advanced video and audio operations", "Lightweight Python implementation easy to extend or embed" ], "cons": [ "Small community (22 stars) suggests limited adoption and support", "Requires an MCP-compatible client or host to function", "Documentation and examples may be sparse for complex use cases" ], "tags": [], "featured": false, "tier": "curated", "stars": 22, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-07-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/Aditya2755/video-edit-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "ahujasid-blender-mcp", "mediar-ai-screenpipe" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/video-edit-mcp" }, { "slug": "vighriday-veris", "name": "vighriday/Veris", "vendor": "Various", "tagline": "Behavioral Verification Infrastructure — MCP-native intelligence layer for autonomous software correctness. 17 MCP tools, semantic workflow grouping, drift detection, counterfactua", "description": "Veris is an open-source behavioral verification infrastructure for autonomous software correctness. It provides 17 MCP-native tools including semantic workflow grouping, drift detection, counterfactual mode, and adversarial probes, all running locally-first with a confidence half-life mechanism.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building autonomous systems who need local, open-source behavioral verification tools.", "useCases": [ "Verify autonomous agent behavior against expected workflows", "Detect behavioral drift in AI-driven software over time", "Run adversarial probes to test system robustness" ], "pros": [ "Local-first and MIT licensed for full control and customization", "Includes advanced verification features like counterfactual mode and drift detection", "MCP-native design integrates directly with model context protocols" ], "cons": [ "Zero stars and no community traction yet", "Limited documentation or examples beyond the repository", "Requires TypeScript expertise to set up and use" ], "tags": [ "ai-agents", "behavioral-graph", "claude-code", "code-analysis", "cursor", "mcp", "oss", "ts-morph" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/vighriday/Veris", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "executeautomation-playwright-mcp-server", "agent-infra-mcp-server-browser", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/vighriday-veris" }, { "slug": "vikramgorla-mcp-swiss", "name": "vikramgorla/mcp-swiss", "vendor": "Various", "tagline": "Swiss open data MCP server — transport, weather, geodata, companies, etc,. Zero API keys.", "description": "An MCP server that exposes Swiss open data for transport, weather, geodata, and companies. Requires no API keys and is implemented in TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI tools that require official Swiss open data with minimal setup.", "useCases": [ "Integrate Swiss transit schedules into an AI assistant", "Fetch real-time weather and geodata for Switzerland", "Query Swiss company registry data without external keys" ], "pros": [ "Zero API keys needed for all data sources", "Single server covers multiple Swiss open data domains", "Lightweight TypeScript implementation" ], "cons": [ "Limited strictly to Switzerland; no international coverage", "Small community (14 stars) means less support and fewer contributions", "Depends on availability of upstream Swiss open data endpoints" ], "tags": [], "featured": false, "tier": "curated", "stars": 14, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/vikramgorla/mcp-swiss", "relations": { "works_in": [ "cursor", "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/vikramgorla-mcp-swiss" }, { "slug": "vikrantsingh01-adaptive-cards-mcp", "name": "VikrantSingh01/adaptive-cards-mcp", "vendor": "Various", "tagline": "AI-powered Adaptive Card MCP server — 9 tools for generating, validating, optimizing cards for Teams, Outlook, Copilot, ChatGPT. npm: adaptive-cards-mcp", "description": "An MCP server that exposes nine tools for generating, validating, and optimizing Adaptive Cards. It integrates with platforms like Teams, Outlook, Copilot, and ChatGPT, and is available as the npm package adaptive-cards-mcp.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need to output Adaptive Cards for Microsoft platforms", "useCases": [ "Generate Adaptive Cards from natural language prompts via AI assistants", "Validate card JSON against Adaptive Card schema", "Optimize card layouts for different target platforms" ], "pros": [ "Provides a focused set of tools for Adaptive Card workflows", "Works with multiple popular platforms and AI assistants", "Open source and available as an npm package" ], "cons": [ "Low community adoption (27 stars) indicates limited real-world testing", "Requires an MCP-compatible client or host to use", "Only supports Adaptive Cards, not other card formats" ], "tags": [ "adaptive-card", "adaptive-cards", "ai", "bot-framework", "card-generator", "chatgpt", "claude", "copilot" ], "featured": false, "tier": "curated", "stars": 27, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/VikrantSingh01/adaptive-cards-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/vikrantsingh01-adaptive-cards-mcp" }, { "slug": "vinaybhosle-agentstamp", "name": "vinaybhosle/agentstamp", "vendor": "Various", "tagline": "🔏 Trust verification for AI agents — Ed25519 stamps, trust scoring (0-100), x402 micropayments, 14 MCP tools. Free tier.", "description": "AgentStamp provides trust verification for AI agents using Ed25519 cryptographic stamps, trust scores from 0 to 100, and x402 micropayments. It offers 14 MCP tools and a free tier. The tool is written in JavaScript and is available as an open-source repository.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building trust-layer mechanisms for autonomous AI agents", "useCases": [ "Verify the authenticity of an AI agent's actions with cryptographic stamps", "Assign and query trust scores for agent interactions", "Integrate x402 micropayments into agent services" ], "pros": [ "Uses Ed25519 for strong cryptographic trust verification", "Combines trust scoring with micropayment support in one tool", "Free tier allows cost-free experimentation" ], "cons": [ "Zero community traction with no GitHub stars", "Limited evidence of production usage or documentation depth", "Dependency on MCP ecosystem and custom tooling" ], "tags": [ "agent-identity", "ai-agents", "ed25519", "erc-8004", "mcp", "micropayments", "trust-verification", "x402" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "Apache-2.0", "lastUpdated": "2026-03-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/vinaybhosle/agentstamp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/vinaybhosle-agentstamp" }, { "slug": "vincentwei1021-agent-toolbox", "name": "Vincentwei1021/agent-toolbox", "vendor": "Various", "tagline": "Vincentwei1021/agent-toolbox — indexed from awesome-mcp-servers-punkpeye", "description": "A TypeScript repository that indexes MCP servers from the awesome-mcp-servers-punkpeye curated list. It provides a structured collection of server entries for agent integration. The project is small and maintained by a single contributor.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want a simple, TypeScript-based index of MCP servers from the awesome-mcp-servers list", "useCases": [ "Browse an indexed list of MCP servers for agent tooling", "Quickly reference available MCP servers from a curated source", "Integrate the index into a TypeScript-based agent workflow" ], "pros": [ "Provides a structured index of MCP servers from a known awesome list", "Written in TypeScript for easy integration with TypeScript projects", "Lightweight and focused on a single purpose" ], "cons": [ "Very low community adoption (3 stars) suggests limited use or maintenance", "No clear documentation or usage instructions beyond the repository name", "Index may be incomplete or outdated if not actively updated" ], "tags": [ "ai-agent", "ai-tools", "content-extraction", "mcp", "mcp-server", "model-context-protocol", "typescript", "web-search" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/Vincentwei1021/agent-toolbox", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/vincentwei1021-agent-toolbox" }, { "slug": "vinkius-labs-mcp-fusion", "name": "vinkius-labs/mcp-fusion", "vendor": "Various", "tagline": "MCP Fusion - The TypeScript framework for secure MCP servers.", "description": "A TypeScript framework for building secure servers that implement the Model Context Protocol (MCP). It provides a structured foundation to define tools, resources, and prompts while enforcing security patterns.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building secure, custom MCP servers in TypeScript.", "useCases": [ "Creating an authenticated file system MCP server for code analysis", "Building a database query MCP server with role-based access control", "Developing a multi-tool MCP server for agent orchestration" ], "pros": [ "TypeScript-native with full type safety", "Built-in security focus reduces common vulnerabilities", "Relatively small, focused codebase easy to audit" ], "cons": [ "Limited community and fewer examples due to early stage (253 stars)", "Requires understanding the MCP specification and TypeScript", "Not a no-code solution; demands implementation work for each tool" ], "tags": [ "mcp", "mcp-framework", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 253, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/vinkius-labs/mcp-fusion", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "fastmcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/vinkius-labs-mcp-fusion" }, { "slug": "viperjuice-mcp-gateway", "name": "ViperJuice/mcp-gateway", "vendor": "Various", "tagline": "MCP Gateway - A meta-server for minimal Claude Code tool bloat with progressive disclosure", "description": "MCP Gateway is a meta-server that aggregates multiple Model Context Protocol tools to reduce bloat in Claude Code by progressively disclosing them. It is written in Python and acts as a lightweight intermediary.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude Code who want a minimal, organized tool environment", "useCases": [ "Reducing tool clutter in Claude Code sessions", "Managing multiple MCP servers through a single gateway", "Enabling progressive disclosure of tools as needed" ], "pros": [ "Minimizes tool overload in Claude Code", "Lightweight Python implementation", "Supports progressive disclosure pattern" ], "cons": [ "Early-stage project with only 10 GitHub stars", "Requires Python runtime to run", "Limited documentation and community support" ], "tags": [], "featured": false, "tier": "curated", "stars": 10, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/ViperJuice/mcp-gateway", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/viperjuice-mcp-gateway" }, { "slug": "vitorpavinato-ncbi-mcp-server", "name": "vitorpavinato/ncbi-mcp-server", "vendor": "Various", "tagline": "🐍 ☁️ 🏠 - Comprehensive NCBI/PubMed literature search server with advanced analytics, caching, MeSH integration, related articles discovery, and batch processing for all life scie", "description": "A Python-based MCP server that provides comprehensive NCBI/PubMed literature search capabilities. It includes advanced analytics, caching, MeSH integration, related articles discovery, and batch processing for life science queries.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Life science researchers and developers building AI tools for literature mining", "useCases": [ "Search PubMed with MeSH terms for targeted literature retrieval", "Batch process multiple article queries for systematic reviews", "Discover related articles from a given seed paper" ], "pros": [ "Integrates with the Model Context Protocol for use in AI agent workflows", "Includes caching to improve repeated query performance", "Supports MeSH terms and related article discovery for deeper search" ], "cons": [ "Low star count (9) indicates limited community adoption and testing", "Requires Python environment and MCP setup, adding deployment overhead", "Documentation and support may be sparse due to small user base" ], "tags": [], "featured": false, "tier": "curated", "stars": 9, "language": [ "Python" ], "lastUpdated": "2025-06-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/vitorpavinato/ncbi-mcp-server", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/vitorpavinato-ncbi-mcp-server" }, { "slug": "virtualsms-io-mcp-server", "name": "virtualsms-io/mcp-server", "vendor": "Various", "tagline": "SMS verification MCP server — real SIM phone numbers across 145+ countries and 2000+ services for AI agents. Ranked #1 in both ChatGPT and Perplexity SMS verification MCP categorie", "description": "An MCP server that provides real SIM phone numbers for SMS verification, covering 145+ countries and 2000+ services. It is ranked #1 in both ChatGPT and Perplexity SMS verification MCP categories and works with tools like Claude, Cursor, Codex, Windsurf, Cline, Zed, OpenClaw, Hermes, and Continue.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need programmatic SMS verification across many countries", "useCases": [ "Get temporary phone numbers for account registration during AI agent testing", "Verify SMS codes in automated workflows or CI/CD pipelines", "Integrate SMS verification into multi-step agent toolchains" ], "pros": [ "Wide geographic coverage across 145+ countries", "Compatible with many popular AI development tools", "Top-ranked in ChatGPT and Perplexity MCP categories for SMS verification" ], "cons": [ "Low GitHub stars (3) suggest early stage or limited community adoption", "Narrow focus on SMS verification only", "Relies on an external SMS service provider with potential cost and uptime dependencies" ], "tags": [ "ai-agent", "claude-mcp", "cline", "codex", "continue-dev", "cursor", "hermes", "mcp" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/virtualsms-io/mcp-server", "relations": { "works_in": [ "continue", "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/virtualsms-io-mcp-server" }, { "slug": "vitrine3d-mcp", "name": "vitrine3d/mcp", "vendor": "Various", "tagline": "vitrine MCP server — manage 3D product viewers, scenes, and embeds from AI agents", "description": "An MCP server that exposes 3D product viewer, scene, and embed management to AI agents. It allows agents to create, modify, and retrieve 3D scenes and embeds through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to programmatically manage 3D product visualizations and embeds", "useCases": [ "Letting AI agents generate and update 3D product viewers for e-commerce", "Automating the embedding of 3D scenes into web pages via agent instructions", "Managing scene configurations and assets programmatically through MCP" ], "pros": [ "Enables AI agents to directly control 3D content without manual intervention", "Built on the standard MCP protocol, making it compatible with many agent frameworks", "Written in TypeScript, offering type safety and broad ecosystem support" ], "cons": [ "Zero stars and no community traction, indicating early or unproven status", "Limited documentation and examples beyond the basic description", "Dependent on the vitrine3d platform, which may have its own constraints" ], "tags": [ "3d", "e-commerce", "mcp", "mcp-server", "model-context-protocol", "viewer", "vitrine" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/vitrine3d/mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/vitrine3d-mcp" }, { "slug": "vivek081166-japan-utils-mcp", "name": "vivek081166/japan-utils-mcp", "vendor": "Various", "tagline": "MCP server exposing Japan-specific utilities (era conversion, romaji, holidays, postal codes, kana, name split) to AI agents.", "description": "This tool is an MCP server that exposes Japan-specific utilities to AI agents. It provides functions for era conversion, romaji transcription, holiday lookup, postal code search, kana conversion, and name splitting. AI agents can call these utilities via the MCP protocol to handle Japanese language and locale tasks.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need programmatic access to Japanese language and locale utilities", "useCases": [ "Convert Japanese era dates to Gregorian calendar dates", "Look up Japanese postal codes by address or code", "Split Japanese full names into surname and given name" ], "pros": [ "Covers a useful set of Japan-specific data operations in one package", "Python-based, straightforward to deploy as an MCP server", "Reduces development time for AI agents needing Japanese locale support" ], "cons": [ "New project with no community adoption or track record", "Limited to the specific utilities currently implemented", "Requires an MCP-compatible AI agent to function" ], "tags": [ "ai-agents", "claude", "japan", "japanese", "mcp", "mcp-server", "postal-code", "python" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-03", "addedAt": "2026-06-01", "officialLink": "https://github.com/vivek081166/japan-utils-mcp", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/vivek081166-japan-utils-mcp" }, { "slug": "vkhanhqui-figma-mcp-go", "name": "vkhanhqui/figma-mcp-go", "vendor": "Various", "tagline": "Figma MCP for free users — no rate limits, full read/write, text to designs, designs to code", "description": "A Go-based MCP server that provides free Figma API access without rate limits. It supports reading and writing Figma files, generating designs from text prompts, and converting designs into code.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need unrestricted Figma API access for automation without paying for a premium plan", "useCases": [ "Automate design-to-code workflows by extracting Figma components as code", "Generate Figma layouts from natural language descriptions", "Programmatically read and modify Figma files for batch updates" ], "pros": [ "No rate limits for free Figma users, enabling heavy automation", "Full read and write capabilities for comprehensive design manipulation", "Written in Go, offering good performance and easy deployment" ], "cons": [ "Requires self-hosting and managing a Go server", "Dependent on Figma's API stability and terms of service", "Limited community support compared to more popular MCP implementations" ], "tags": [ "agent", "ai", "automation", "design", "figma", "figma-plugin", "mcp" ], "featured": false, "tier": "curated", "stars": 1009, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-04-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/vkhanhqui/figma-mcp-go", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "glips-figma-context-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/vkhanhqui-figma-mcp-go" }, { "slug": "vivekvells-mcp-pandoc", "name": "vivekvells/mcp-pandoc", "vendor": "Various", "tagline": "MCP server for document format conversion using pandoc.", "description": "This is an MCP server that exposes pandoc's document format conversion capabilities as tools for AI agents. It allows conversion between many formats like Markdown, DOCX, HTML, and PDF by delegating to a local pandoc installation.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based AI agents that need reliable document format conversion", "useCases": [ "Converting Markdown to PDF via an MCP client", "Transforming DOCX to HTML within a chat interface", "Batch converting documents using an orchestrated agent" ], "pros": [ "Leverages pandoc's extensive format support", "Lightweight and focused on a single clear task", "Easy to integrate into MCP-compatible environments" ], "cons": [ "Requires pandoc to be installed on the host system", "Limited to pandoc's supported formats and options", "No built-in handling of very large or complex documents" ], "tags": [ "pandoc", "pandoc-markdown", "pandoc-template" ], "featured": false, "tier": "curated", "stars": 544, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-09-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/vivekVells/mcp-pandoc", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/vivekvells-mcp-pandoc" }, { "slug": "vmlia-books-mcp-server", "name": "VmLia/books-mcp-server", "vendor": "Various", "tagline": "This is an MCP server used for querying books, and it can be applied in common MCP clients, such as Cherry Studio.", "description": "VmLia/books-mcp-server is a Python-based MCP server for querying book data. It can be used with MCP clients such as Cherry Studio to search and retrieve book information programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a simple, MCP-compatible book query server for use in AI assistants or knowledge tools.", "useCases": [ "Search for books by title or author within an MCP client", "Retrieve book metadata for integration into AI workflows", "Build a custom book lookup tool using the MCP protocol" ], "pros": [ "Written in Python, easy to understand and modify", "Works with common MCP clients like Cherry Studio", "Open source and publicly available on GitHub" ], "cons": [ "Very low adoption (6 stars on GitHub)", "Only available in Python", "Dependent on MCP protocol infrastructure and client support" ], "tags": [], "featured": false, "tier": "curated", "stars": 6, "language": [ "Python" ], "lastUpdated": "2025-04-09", "addedAt": "2026-06-01", "officialLink": "https://github.com/VmLia/books-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/vmlia-books-mcp-server" }, { "slug": "vovala14-vynly-mcp", "name": "Vovala14/vynly-mcp", "vendor": "Various", "tagline": "MCP server for Vynly — the AI-only social feed. Post, read, search, and spark from any MCP-aware agent.", "description": "Vovala14/vynly-mcp is a JavaScript MCP server that lets AI agents interact with Vynly, an AI-only social feed. It enables posting, reading, searching, and sparking content directly from any MCP-aware agent.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP agents that need to interact with an AI-only social feed", "useCases": [ "Post AI-generated content to a social feed from an agent", "Search and read posts on Vynly through an MCP client", "Trigger content sparks from an agent into the feed" ], "pros": [ "Simple integration for any MCP-compatible agent", "Lightweight JavaScript implementation", "Enables a novel AI-to-AI social interaction pattern" ], "cons": [ "Very early stage with only 1 star and minimal adoption", "Limited to Vynly's niche AI-only platform", "No documented authentication or rate limiting details" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/Vovala14/vynly-mcp", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/vovala14-vynly-mcp" }, { "slug": "vrtxomega-ollama-omega", "name": "VrtxOmega/Ollama-Omega", "vendor": "Various", "tagline": "Sovereign Ollama Bridge — MCP server for local and cloud Ollama models. Generated by Qwen 3.5 397B.", "description": "VrtxOmega/Ollama-Omega is an MCP server that bridges Ollama models with the Model Context Protocol. It supports both local and cloud Ollama instances. The code was generated by the Qwen 3.5 397B language model.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to use Ollama models with MCP-compatible tools or agents", "useCases": [ "Expose local Ollama models to MCP-compatible clients", "Connect cloud-hosted Ollama instances via MCP", "Integrate Ollama into MCP-based development workflows" ], "pros": [ "Supports both local and remote Ollama deployments", "Follows the MCP standard for interoperability", "Lightweight Python implementation" ], "cons": [ "Very low community adoption (2 stars)", "Generated code may lack thorough testing or documentation", "Requires Python environment and Ollama setup" ], "tags": [ "bridge", "inference", "javascript", "llm", "local-ai", "mcp-server", "ollama" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/VrtxOmega/Ollama-Omega", "relations": { "works_in": [], "uses": [ "ollama" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/vrtxomega-ollama-omega" }, { "slug": "vscode-devtools", "name": "VSCode Devtools", "vendor": "Various", "tagline": "VSCode Extension with an MCP server that exposes semantic tools like Find Usages and Rename to LLMs", "description": "VSCode Devtools is a VSCode extension that runs an MCP server to expose semantic code actions such as Find Usages and Rename to large language models. It allows LLMs to query and modify code structure directly from the editor environment.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building LLM-powered code analysis and refactoring tools", "useCases": [ "Find all usages of a symbol via an LLM prompt", "Rename symbols across a project with LLM assistance", "Query code structure semantically from an LLM client" ], "pros": [ "Exposes IDE-level semantic tools to LLMs via the MCP protocol", "Lightweight extension that integrates directly into VSCode", "Open source with a clear TypeScript codebase" ], "cons": [ "Requires an MCP-compatible LLM client to function", "Limited to the semantic actions currently exposed (Find Usages, Rename)", "Small community and limited documentation (214 stars)" ], "tags": [ "cline", "cursor", "cursor-ai", "developer-tools", "mcp", "mcp-server", "vscode", "vscode-extension" ], "featured": false, "tier": "curated", "stars": 214, "language": [ "TypeScript" ], "license": "AGPL-3.0", "lastUpdated": "2026-03-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/biegehydra/BifrostMCP", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "continue" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/vscode-devtools" }, { "slug": "vrtxomega-omega-brain-mcp", "name": "VrtxOmega/omega-brain-mcp", "vendor": "Various", "tagline": "Standalone MCP server — cross-session memory, 10-gate VERITAS build pipeline, cryptographic audit ledger, Cortex approval gate. Two files, one dependency.", "description": "A standalone MCP server that provides cross-session memory, a 10-gate VERITAS build pipeline, a cryptographic audit ledger, and a Cortex approval gate. It is implemented in Python with only two files and one dependency.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building secure, auditable MCP servers with persistent memory", "useCases": [ "Maintaining persistent memory across MCP sessions", "Implementing a multi-gate verification pipeline for AI agents", "Auditing agent decisions with cryptographic logs" ], "pros": [ "Minimal footprint with only two files and one dependency", "Built-in cryptographic audit ledger for verifiable logs", "Structured approval gate (Cortex) for controlled execution" ], "cons": [ "Low star count (4) indicates limited community adoption", "May lack extensive documentation or support", "Specific to MCP ecosystem, not a general-purpose tool" ], "tags": [ "ai", "artificial-intelligence", "episodic-memory", "genai", "llm", "mcp", "mcp-server", "ollama" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-03", "addedAt": "2026-06-01", "officialLink": "https://github.com/VrtxOmega/omega-brain-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/vrtxomega-omega-brain-mcp" }, { "slug": "w3ship-w3ledger-mcp-server", "name": "W3Ship/w3ledger-mcp-server", "vendor": "Various", "tagline": "W3Ship/w3ledger-mcp-server — indexed from awesome-mcp-servers-punkpeye", "description": "W3Ship/w3ledger-mcp-server is a TypeScript-based MCP server for interacting with W3Ledger, a blockchain ledger system. It provides tools to query and manage ledger data through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based workflows that need to read or write data to W3Ledger.", "useCases": [ "Querying blockchain ledger records via MCP", "Managing W3Ledger accounts and transactions", "Integrating ledger data into MCP-compatible AI workflows" ], "pros": [ "Leverages the MCP standard for interoperability", "Written in TypeScript, reducing runtime type errors", "Focused scope on a specific ledger system" ], "cons": [ "Zero stars on GitHub, indicating minimal community adoption", "No documented support or usage examples beyond the repo link", "Dependency on W3Ledger, which may have limited documentation" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/baskcart/w3ledger-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/w3ship-w3ledger-mcp-server" }, { "slug": "w3ship-w3ship-mcp-server", "name": "W3Ship/w3ship-mcp-server", "vendor": "Various", "tagline": "W3Ship/w3ship-mcp-server — indexed from awesome-mcp-servers-punkpeye", "description": "W3Ship/w3ship-mcp-server is a Model Context Protocol (MCP) server written in JavaScript. It is listed in the awesome-mcp-servers collection. The repository currently has zero stars, indicating early-stage development.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring MCP server implementations in JavaScript, particularly for logistics or shipping domains", "useCases": [ "Connect MCP-compatible AI agents to shipping-related data sources", "Extend context-aware tools with logistics or supply chain information", "Prototype MCP integrations using a JavaScript codebase" ], "pros": [ "Follows the MCP standard, enabling interoperability with other MCP tools", "Written in JavaScript, a widely accessible language for developers", "Open source and available on GitHub for inspection and contribution" ], "cons": [ "Zero stars and no community adoption suggest limited testing or documentation", "Unclear scope and usage instructions without additional context", "Lacks evidence of production reliability or active maintenance" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/baskcart/w3ship-mcp-server", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/w3ship-w3ship-mcp-server" }, { "slug": "wanaku-ai-wanaku", "name": "wanaku-ai/wanaku", "vendor": "Various", "tagline": "Wanaku MCP Router", "description": "Wanaku is an open-source MCP (Model Context Protocol) router written in Java. It routes requests between AI clients and backend services using a configurable pipeline.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based AI pipelines who need a lightweight Java router.", "useCases": [ "Connecting AI agents to enterprise APIs and databases", "Building middleware for MCP-compatible tools", "Routing and transforming requests in multi-service AI workflows" ], "pros": [ "Lightweight Java implementation with clear MCP compliance", "Simple configuration for routing rules", "Active open-source community with 117 stars" ], "cons": [ "Limited to MCP protocol, not a general-purpose AI framework", "Java dependency may be heavy for some deployment environments", "Small community and early-stage project with fewer integrations" ], "tags": [ "agentic", "agentic-ai", "agents", "artificial-intelligence", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 117, "language": [ "Java" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/wanaku-ai/wanaku", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/wanaku-ai-wanaku" }, { "slug": "waystation-ai-mcp", "name": "WayStation-ai/mcp", "vendor": "Various", "tagline": "The only MCP Server you need. Connect any MCP host with the tools you use daily through our no-code, secure integration hub.", "description": "WayStation-ai/mcp is a no-code integration hub that connects MCP hosts with everyday tools. It provides a secure bridge for developers to link various services without writing custom code.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need quick, secure connections between MCP hosts and common tools without writing integration code.", "useCases": [ "Connecting MCP hosts to productivity tools like calendars or email", "Integrating development workflows with external APIs through a hub", "Setting up secure tool integrations without manual coding" ], "pros": [ "No-code setup reduces integration effort", "Centralized hub simplifies managing multiple connections", "Security-focused design for tool bridging" ], "cons": [ "Limited to MCP host ecosystem", "Small community with only 52 GitHub stars", "Dependency on hub for all integrations" ], "tags": [], "featured": false, "tier": "curated", "stars": 52, "language": [ "JavaScript" ], "lastUpdated": "2025-09-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/waystation-ai/mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp", "pipedreamhq-pipedream" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/waystation-ai-mcp" }, { "slug": "wazionapps-mcp-server", "name": "wazionapps/mcp-server", "vendor": "Various", "tagline": "WAzion MCP Server - Connect AI agents to WhatsApp via WAzion API. Smart copilot, 24/7 automation, mass marketing.", "description": "This MCP server connects AI agents to WhatsApp through the WAzion API, enabling automated messaging, 24/7 operation, and bulk campaign management. It uses JavaScript to bridge the WhatsApp messaging platform with AI agent workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a quick JavaScript bridge to connect AI agents with WhatsApp automation and marketing.", "useCases": [ "Automate WhatsApp customer support with an AI copilot.", "Run 24/7 messaging campaigns for marketing or alerts.", "Integrate WhatsApp messaging into existing AI agent pipelines." ], "pros": [ "Enables direct WhatsApp integration for AI agents.", "Supports bulk messaging for marketing at scale.", "Operates continuously without manual intervention." ], "cons": [ "Very limited community support with only 1 GitHub star.", "Depends on third-party WAzion API reliability and pricing.", "No detailed documentation or usage examples visible." ], "tags": [ "ai", "automation", "chatgpt", "claude", "crm", "cursor", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/wazionapps/mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "lharries-whatsapp-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/wazionapps-mcp-server" }, { "slug": "wazionapps-nexo", "name": "wazionapps/nexo", "vendor": "Various", "tagline": "NEXO Brain — Shared brain for AI agents. Persistent memory, semantic RAG, natural forgetting, metacognitive guard, trust scoring, 150+ MCP tools. Works with Claude Code, Codex, Cla", "description": "NEXO Brain provides a shared memory layer for AI agents using persistent memory, semantic RAG, and natural forgetting. It works with Claude Code, Claude Desktop, Codex, and any MCP client, offering trust scoring and a metacognitive guard. The system is fully local, open source, and free.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building local, memory-enhanced multi-agent systems that need trust and forgetting", "useCases": [ "Give AI agents persistent cross-session memory", "Manage semantic retrieval and automatic forgetting", "Integrate trust scoring into multi-agent workflows" ], "pros": [ "Fully local and free, no external dependencies", "Works with multiple MCP-compatible clients", "Includes built-in trust scoring and metacognitive guard" ], "cons": [ "Low community adoption (22 stars at time of entry)", "Requires local Python environment setup", "Compatibility limited to MCP protocol clients" ], "tags": [ "ai-memory", "atkinson-shiffrin", "autonomous-agent", "claude-code", "claude-code-plugin", "codex", "cognitive-architecture", "knowledge-graph" ], "featured": false, "tier": "curated", "stars": 22, "language": [ "Python" ], "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/wazionapps/nexo", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "topoteretes-cognee", "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/wazionapps-nexo" }, { "slug": "wd041216-bit-free-web-search-ultimate", "name": "wd041216-bit/free-web-search-ultimate", "vendor": "Various", "tagline": "Search infrastructure for AI agents: free by default, MCP-ready, LLM-context aware, and production-grade when needed.", "description": "A Python library providing search infrastructure for AI agents. It is free by default, supports the Model Context Protocol (MCP), and is designed to be context-aware for LLM integration. Can scale to production-grade usage when needed.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that require web search with MCP support", "useCases": [ "Integrate web search into AI agent workflows", "Provide LLM-context-aware search results", "Build MCP-compatible search tools for agents" ], "pros": [ "Free by default with no upfront cost", "MCP-ready for agent interoperability", "Capable of production-grade scaling" ], "cons": [ "Low GitHub stars (6) suggests early-stage project with limited community", "Free tier may have usage limitations for high-volume applications", "Python-only library may restrict non-Python environments" ], "tags": [ "agent-infrastructure", "agent-tools", "ai-agents", "ai-search", "citations", "claim-verification", "evidence-verification", "fact-checking" ], "featured": false, "tier": "curated", "stars": 6, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/wd041216-bit/free-web-search-ultimate", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [ "exa-labs-exa-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/wd041216-bit-free-web-search-ultimate" }, { "slug": "weaviate-mcp-server-weaviate", "name": "weaviate/mcp-server-weaviate", "vendor": "Various", "tagline": "MCP (Model Context Protocol) server for Weaviate", "description": "An MCP server that connects AI agents to Weaviate vector databases. It allows agents to query, search, and manage vector data through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to query or manage vector databases via Weaviate", "useCases": [ "Enabling AI agents to perform semantic search on Weaviate collections", "Allowing agents to create, read, update, and delete vector objects", "Integrating Weaviate as a knowledge base for agent workflows" ], "pros": [ "Direct integration with Weaviate's vector search capabilities", "Open source with 162 stars and active maintenance", "Standard MCP interface simplifies agent connectivity" ], "cons": [ "Requires a running Weaviate instance to function", "Limited to Weaviate-specific features and schemas", "No built-in authentication or access control" ], "tags": [], "featured": false, "tier": "curated", "stars": 162, "language": [], "lastUpdated": "2026-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/weaviate/mcp-server-weaviate", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb", "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/weaviate-mcp-server-weaviate" }, { "slug": "webaesbyamin-agent-receipts", "name": "webaesbyamin/agent-receipts", "vendor": "Various", "tagline": "Cryptographic receipts for AI agent actions. MCP server, SDK, CLI, and dashboard. Local-first, zero infrastructure.", "description": "A developer tool that generates cryptographic receipts for AI agent actions. It provides an MCP server, SDK, CLI, and dashboard. The system is local-first and requires zero infrastructure.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building accountable AI agents who need verifiable action logs", "useCases": [ "Verifying the provenance of agent outputs", "Auditing agent actions in a tamper-evident log", "Building trust in autonomous agent workflows" ], "pros": [ "Local-first design keeps data on your own machine", "Zero infrastructure means no external services to manage", "Cryptographic receipts provide strong integrity guarantees" ], "cons": [ "Zero stars on GitHub suggests very early stage or low adoption", "Limited community support and documentation likely", "May lack integrations with popular agent frameworks" ], "tags": [ "accountability", "ai-agents", "cryptography", "dashboard", "ed25519", "mcp", "observability", "receipts" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/webaesbyamin/agent-receipts", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mediar-ai-screenpipe" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/webaesbyamin-agent-receipts" }, { "slug": "webcoderz-mcp-geo", "name": "webcoderz/MCP-Geo", "vendor": "Various", "tagline": "Geocoding MCP server with GeoPY!", "description": "An MCP server that uses the GeoPY library to provide geocoding and reverse geocoding. It converts addresses to coordinates and vice versa, making location data accessible to MCP-compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need basic geocoding functionality in MCP-based AI tools and prefer a lightweight Python solution.", "useCases": [ "Add geocoding to AI assistants for location-aware responses", "Convert user-provided addresses into latitude/longitude for mapping", "Reverse geocode coordinates to obtain human-readable addresses" ], "pros": [ "Simple Python implementation with minimal dependencies", "Leverages the well-maintained GeoPY library for geocoding", "Easy to integrate into MCP-based workflows" ], "cons": [ "Limited to GeoPY's supported geocoding services (no Google Maps or custom providers)", "Small community with only 32 stars, so limited support and updates", "May lack advanced features like batch geocoding or address validation" ], "tags": [], "featured": false, "tier": "curated", "stars": 32, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-01-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/webcoderz/MCP-Geo", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/webcoderz-mcp-geo" }, { "slug": "webdriverio-mcp", "name": "webdriverio/mcp", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server that enables AI assistants to interact with web browsers and mobile applications using WebDriverIO. Automate Chrome browsers, iOS apps, and An", "description": "A Model Context Protocol (MCP) server that lets AI assistants control web browsers and mobile apps via WebDriverIO. It provides a unified interface for automating Chrome, iOS, and Android through natural language commands.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to automate web and mobile testing through a single interface", "useCases": [ "Automate browser testing with AI-driven navigation and assertions", "Control mobile app flows on iOS and Android simulators or devices", "Integrate web and mobile automation into AI agent workflows" ], "pros": [ "Unified API for browser and mobile automation reduces tool switching", "Leverages mature WebDriverIO ecosystem for reliable cross-platform control", "TypeScript codebase with clear MCP protocol adherence" ], "cons": [ "Small community (28 stars) means limited support and examples", "Requires WebDriverIO setup and driver dependencies for each platform", "MCP protocol is still evolving, so integration may break with updates" ], "tags": [ "android", "appium", "browser", "ios", "mcp", "mobile", "testing", "webdriverio" ], "featured": false, "tier": "curated", "stars": 28, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/webdriverio/mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "browsermcp-mcp", "executeautomation-playwright-mcp-server", "agent-infra-mcp-server-browser", "mobile-next-mobile-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/webdriverio-mcp" }, { "slug": "webpeel-webpeel", "name": "webpeel/webpeel", "vendor": "Various", "tagline": "The web data layer for AI agents — fetch, search, crawl, extract, screenshot, and monitor the web with 50+ domain extractors and MCP.", "description": "webpeel is an open-source TypeScript library that provides a unified web data layer for AI agents. It enables fetching, searching, crawling, extracting, screenshotting, and monitoring web content, with over 50 domain-specific extractors and integration via the Model Context Protocol (MCP). The tool abstracts common web scraping and monitoring tasks into a programmable interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to programmatically access and parse web data from common domains", "useCases": [ "Extract structured data from known websites using built-in domain extractors", "Monitor web pages for changes and trigger agent actions on updates", "Take screenshots of pages for AI-based visual analysis or archiving" ], "pros": [ "Open source with a permissive license for customization", "TypeScript native, offering type safety and good developer experience", "Includes 50+ domain extractors, reducing manual scraping setup" ], "cons": [ "Very low GitHub star count suggests limited community adoption and testing", "Relies on specific domain extractors that may break if target sites change layout", "Documentation and example coverage may be sparse due to early stage" ], "tags": [ "ai-agent", "ai-agents", "browser-automation", "claude-code", "codex", "content-extraction", "cursor", "firecrawl-alternative" ], "featured": false, "tier": "curated", "stars": 9, "language": [ "TypeScript" ], "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/webpeel/webpeel", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "browsermcp-mcp", "executeautomation-playwright-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/webpeel-webpeel" }, { "slug": "webscraping-ai-webscraping-ai-mcp-server", "name": "webscraping-ai/webscraping-ai-mcp-server", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server implementation that integrates with WebScraping.AI for web data extraction capabilities.", "description": "Implements the Model Context Protocol (MCP) to let AI applications use WebScraping.AI for web data extraction. It acts as a server that handles requests from MCP clients, returning scraped content through the WebScraping.AI API.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based AI applications that need reliable, API-driven web scraping", "useCases": [ "Extract structured data from websites for AI analysis or knowledge bases", "Scrape web content on demand from within MCP-compatible assistants or agents", "Automate data collection tasks by plugging into MCP-based workflows" ], "pros": [ "Leverages the standardized MCP interface for seamless integration with MCP clients", "Abstracts away the complexity of WebScraping.AI's API behind a simple protocol", "Lightweight JavaScript implementation easy to deploy in Node.js environments" ], "cons": [ "Depends entirely on the WebScraping.AI service and its API availability and pricing", "Small community and limited documentation given only 42 GitHub stars", "Requires an API key and internet access to function, limiting offline use" ], "tags": [], "featured": false, "tier": "curated", "stars": 42, "language": [ "JavaScript" ], "lastUpdated": "2026-05-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/webscraping-ai/webscraping-ai-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/webscraping-ai-webscraping-ai-mcp-server" }, { "slug": "webvizio-mcp", "name": "Webvizio/mcp", "vendor": "Various", "tagline": "Webvizio MCP Server - Automatically converts feedback and bug reports from websites and web apps into actionable, context-enriched developer tasks. Delivered straight to your AI co", "description": "Webvizio/mcp is a TypeScript MCP server that converts feedback and bug reports from websites and web apps into structured developer tasks with contextual data. It delivers these tasks directly to AI coding tools, enabling automated issue resolution.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Teams using AI coding assistants that want to automate bug report processing from web applications.", "useCases": [ "Convert user feedback from web apps into actionable developer tasks", "Feed context-enriched bug reports into AI coding assistants", "Streamline the feedback-to-fix pipeline for web development teams" ], "pros": [ "Automates the conversion of unstructured feedback into structured tasks", "Provides context enrichment to help AI tools understand issues", "Integrates with MCP-compatible AI coding environments" ], "cons": [ "Requires MCP-compatible tools and setup", "Small project with limited community and documentation", "May not handle complex or ambiguous feedback accurately" ], "tags": [ "ai", "cursor", "cursor-ai", "ide", "mcp", "vscode", "windsurf", "windsurf-ai" ], "featured": false, "tier": "curated", "stars": 5, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-12-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/Webvizio/mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/webvizio-mcp" }, { "slug": "wegotdocs-open-mcp", "name": "wegotdocs/open-mcp", "vendor": "Various", "tagline": "📇 🏠 🍎 🪟 🐧 - Turn a web API into an MCP server in 10 seconds and add it to the open source registry: https://open-mcp.org", "description": "A shell-based tool that converts any web API into a Model Context Protocol (MCP) server in seconds. It also provides an open registry at open-mcp.org for publishing and discovering MCP servers.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to rapidly expose web APIs as MCP servers without writing custom code", "useCases": [ "Quickly wrap an existing REST API as an MCP server", "Publish custom MCP servers to the open registry", "Integrate external web services into MCP-compatible tools" ], "pros": [ "Setup is extremely fast, promising 10-second conversion", "Open source and free to use", "Includes a registry for sharing servers with the community" ], "cons": [ "Limited to APIs that can be wrapped with shell scripts", "Reliability depends on the upstream API staying stable", "Authentication and security settings require manual handling" ], "tags": [ "agentic-ai", "llm", "mcp", "mcp-server", "skills" ], "featured": false, "tier": "curated", "stars": 354, "language": [ "Shell" ], "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/wegotdocs/open-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "fastmcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/wegotdocs-open-mcp" }, { "slug": "wei9072-aegis", "name": "wei9072/aegis", "vendor": "Various", "tagline": "wei9072/aegis — indexed from awesome-mcp-servers-punkpeye", "description": "A Python project listed in the awesome-mcp-servers collection. It is categorized as a developer tool. No further functionality details are provided by the index.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers researching MCP servers in early stages when documentation is sparse.", "useCases": [ "Reference entry in MCP server directory", "Exploration of Python-based MCP tools", "Starting point for understanding undocumented repos" ], "pros": [ "Part of a curated MCP server list", "Written in Python, a common language for MCP implementations", "Open-source code available on GitHub" ], "cons": [ "Zero stars indicates no community traction", "No description or documentation provided", "Unknown actual functionality or reliability" ], "tags": [ "admission-control", "ai-agent-safety", "ai-safety", "code-analysis", "llm-tools", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/wei9072/aegis", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/wei9072-aegis" }, { "slug": "weibaohui-k8m", "name": "weibaohui/k8m", "vendor": "Various", "tagline": "一款轻量级、跨平台的 Mini Kubernetes AI Dashboard，支持大模型+智能体+MCP(支持设置操作权限)，集成多集群管理、智能分析、实时异常检测等功能，支持多架构并可单文件部署，助力高效集群管理与运维优化。", "description": "weibaohui/k8m is a lightweight, cross-platform mini Kubernetes AI dashboard written in Go. It integrates large language model agents with MCP (action permission settings) to deliver multi-cluster management, intelligent analysis, and real-time anomaly detection. The tool is single-file deployable and supports multiple architectures.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Kubernetes operators and SREs who want a lightweight, AI-enhanced dashboard with permission management for multi-cluster environments.", "useCases": [ "Providing a unified dashboard for managing multiple Kubernetes clusters", "Performing intelligent analysis and real-time anomaly detection on cluster resources", "Setting action-level permissions for AI-driven cluster operations via MCP" ], "pros": [ "Single-file deployment and multi-architecture support simplify setup", "Real-time anomaly detection aids proactive cluster maintenance", "Built-in AI agent with fine-grained permission control for safe automation" ], "cons": [ "Limited to Kubernetes-focused use cases; not a general-purpose AI tool", "Relatively small community (826 stars) may mean fewer integrations or support", "Documentation and UI may cater primarily to Chinese-speaking users" ], "tags": [ "2fa", "ai", "apigateway", "chatgpt", "dashboard", "k8s", "k8s-gpt", "mcp" ], "featured": false, "tier": "curated", "stars": 826, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-05-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/weibaohui/k8m", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "txn2-kubefwd" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/weibaohui-k8m" }, { "slug": "wenb1n-dev-mysql-mcp-server-pro", "name": "wenb1n-dev/mysql_mcp_server_pro", "vendor": "Various", "tagline": "Model Context Protocol (MCP) server that supports secure interaction with MySQL databases and has anomaly analysis capabilities.更加牛逼！更加好用！不仅止于mysql的增删改查功能； 还包含了数据库异常分析能力；且便于开发者们进行个", "description": "Model Context Protocol (MCP) server for secure MySQL database interaction. Includes anomaly analysis capabilities. Written in Python with 245 stars on GitHub.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing secure MySQL access with anomaly detection in MCP environments", "useCases": [ "Securely query and modify MySQL databases", "Analyze database anomalies", "Extend with custom tools" ], "pros": [ "Supports secure database operations", "Includes built-in anomaly detection", "Allows custom tool extensions" ], "cons": [ "Requires MCP client to use", "Limited to MySQL databases", "Relatively small community" ], "tags": [ "ai", "mcp-server", "model-context-protocol", "mysql", "oauth2" ], "featured": false, "tier": "curated", "stars": 245, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-08-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/wenb1n-dev/mysql_mcp_server_pro", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/wenb1n-dev-mysql-mcp-server-pro" }, { "slug": "wenb1n-dev-smartdb-mcp", "name": "wenb1n-dev/SmartDB_MCP", "vendor": "Various", "tagline": "Universal database MCP server connecting to MySQL, PostgreSQL, SQL Server, MariaDB,DM8,Oracle,not only provides basic database connection such as OAuth 2.0 authentication , health", "description": "A Python-based MCP server that provides universal database connectivity to MySQL, PostgreSQL, SQL Server, MariaDB, DM8, and Oracle. It handles OAuth 2.0 authentication, health checks, SQL optimization, and index health detection.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a unified MCP server to manage and monitor multiple relational databases through a single interface", "useCases": [ "Connect a single MCP interface to multiple relational databases simultaneously", "Automate database health checks and index performance monitoring", "Integrate SQL optimization into an agent or developer workflow" ], "pros": [ "Supports six major relational database engines in one tool", "Includes built-in SQL optimization and index health analysis", "Handles OAuth 2.0 authentication out of the box" ], "cons": [ "Relatively small community with only 84 stars", "Limited to relational databases, no NoSQL support", "Python only, may not fit non-Python stacks" ], "tags": [ "ai", "dameng8", "dify", "mcp", "mcp-server", "mysql", "oauth2", "oracle" ], "featured": false, "tier": "curated", "stars": 84, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-09-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/wenb1n-dev/SmartDB_MCP", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/wenb1n-dev-smartdb-mcp" }, { "slug": "wende-cicada", "name": "wende/cicada", "vendor": "Various", "tagline": "AI Coders search blindly. Be their guide.", "description": "A lightweight Python tool designed to provide guidance cues for AI coding agents that search without sufficient context. It helps structure or reroute search queries to improve relevance and reduce blind exploration.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building or extending AI coding agents who need a simple way to inject search direction.", "useCases": [ "Injecting contextual hints into AI code search pipelines", "Reducing hallucination in autonomous coding agents by narrowing search scope", "Adding guided search logic to existing agent frameworks" ], "pros": [ "Lightweight and easy to integrate into existing Python agent codebases", "Focused on a specific pain point (blind search) without feature bloat", "Open source with a permissive license allows customization" ], "cons": [ "Very small community (37 stars) limits support and contributions", "Documentation and examples are minimal, requiring trial-and-error adoption", "Effectiveness depends heavily on how guidance cues are defined and tuned" ], "tags": [ "ai", "code-intelligence", "code-search", "devtools", "elixir", "indexer", "local-first", "mcp" ], "featured": false, "tier": "curated", "stars": 37, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-03", "addedAt": "2026-06-01", "officialLink": "https://github.com/wende/cicada", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [ "exa-labs-exa-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/wende-cicada" }, { "slug": "wenerme-wener-mssql-mcp", "name": "wenerme/wener-mssql-mcp", "vendor": "Various", "tagline": "Wener Node, Bun, NestJS, React Utils, Hooks & Demos", "description": "Wener MSSQL MCP is a Model Context Protocol server that provides direct access to Microsoft SQL Server databases. It allows AI agents to execute queries and explore schema through a standardized interface, exposing database interaction as a tool set.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need live, structured querying against Microsoft SQL Server databases.", "useCases": [ "Querying a remote SQL Server database from an AI assistant", "Exploring table schemas and relationships programmatically", "Running read-only or guided SQL operations via an MCP client" ], "pros": [ "Delivers a standard MCP interface for SQL Server access", "Written in TypeScript with cross-runtime support (Node, Bun, NestJS)", "Integrates with the wider Model Context Protocol ecosystem" ], "cons": [ "Limited documentation and community examples", "Relies on the full wener/wode monorepo, not a standalone package", "Requires MCP-compatible AI agent to be useful beyond direct SQL" ], "tags": [ "bun", "nodejs", "openai", "react", "react-hooks", "wechat", "wecom" ], "featured": false, "tier": "curated", "stars": 65, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-09", "addedAt": "2026-06-01", "officialLink": "https://github.com/wenerme/wode/tree/develop/packages/wener-mssql-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/wenerme-wener-mssql-mcp" }, { "slug": "wenhuwang-mcp-k8s-eye", "name": "wenhuwang/mcp-k8s-eye", "vendor": "Various", "tagline": "MCP Server for kubernetes management and diagnose your cluster and applications", "description": "wenhuwang/mcp-k8s-eye is an MCP server for Kubernetes management and cluster diagnosis. It enables users to manage and diagnose Kubernetes clusters and applications through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to manage and diagnose Kubernetes clusters via MCP-enabled tools.", "useCases": [ "Manage Kubernetes clusters via MCP clients", "Diagnose Kubernetes applications and resources", "Integrate Kubernetes operations into MCP-based workflows" ], "pros": [ "Open source with a Go codebase for performance", "Provides Kubernetes management and diagnosis through the MCP standard", "Lightweight server that can be self-hosted" ], "cons": [ "Low star count indicates limited adoption and community support", "Lack of extensive documentation or examples beyond the repository", "Relies on the MCP ecosystem which is still emerging" ], "tags": [], "featured": false, "tier": "curated", "stars": 28, "language": [ "Go" ], "license": "Apache-2.0", "lastUpdated": "2025-05-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/wenhuwang/mcp-k8s-eye", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [ "txn2-kubefwd" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/wenhuwang-mcp-k8s-eye" }, { "slug": "whatsonyourmind-oraclaw", "name": "Whatsonyourmind/oraclaw", "vendor": "Various", "tagline": "Deterministic decision-intelligence MCP server for AI agents — 17 tools, 21 algorithms (LinUCB, HiGHS LP/MIP, PageRank, Monte Carlo, CMA-ES, conformal). Sub-25ms. Zero LLM cost. AA", "description": "Oraclaw is a deterministic decision-intelligence MCP server for AI agents. It provides 17 tools and 21 algorithms (including LinUCB, HiGHS LP/MIP, PageRank, Monte Carlo, CMA-ES, and conformal) with sub-25ms response times and zero LLM cost. It has been field-validated in over 12 open-source projects and holds an AAA rating on Glama.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building deterministic, low-latency decision agents in TypeScript", "useCases": [ "Embedding decision-making logic into AI agents without LLM overhead", "Running optimization or ranking algorithms (e.g., PageRank, Monte Carlo) via MCP", "Building deterministic, low-latency agent workflows for production systems" ], "pros": [ "Sub-25ms latency enables real-time agent decisions", "Zero LLM cost reduces operational expenses", "Broad algorithm library (21 algorithms) covers many decision-intelligence needs" ], "cons": [ "Limited to deterministic algorithms, not suitable for probabilistic or generative tasks", "Requires MCP-compatible agent infrastructure to integrate", "Small community and ecosystem relative to larger agent frameworks" ], "tags": [ "agent-tools", "ai-agents", "algorithms", "anthropic", "api", "bandits", "claude-mcp", "contextual-bandit" ], "featured": false, "tier": "curated", "stars": 8, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/Whatsonyourmind/oraclaw", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb", "fastmcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/whatsonyourmind-oraclaw" }, { "slug": "whdrnr2583-cmd-koreanpulse", "name": "whdrnr2583-cmd/koreanpulse", "vendor": "Various", "tagline": "English-first Korean equity intelligence MCP — DART filings, foreign-holder 5%-rule flows, activist filings, KRX news. For Claude Desktop / Cursor / FastMCP trading agents.", "description": "KoreanPulse is an MCP server that provides English-first access to Korean equity intelligence. It retrieves DART filings, foreign-holder 5% rule flows, activist filings, and KRX news for use with Claude Desktop, Cursor, or FastMCP trading agents.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need English-readable Korean stock market data.", "useCases": [ "Fetching real-time DART regulatory filings for Korean stocks", "Monitoring foreign investor 5% stake changes and activist filings", "Integrating KRX news into AI-based trading strategies" ], "pros": [ "English-first data reduces language barriers for non-Korean developers", "Works with popular agent platforms like Claude Desktop and Cursor", "Provides structured access to hard-to-get Korean market data" ], "cons": [ "Low GitHub star count suggests limited community or early-stage development", "Requires specific MCP-compatible clients (not standalone)", "Narrow scope focused only on Korean equities" ], "tags": [ "ai-trading", "chatgpt", "claude-ai", "claude-desktop", "cursor", "dart", "fastmcp", "hedge-fund" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/whdrnr2583-cmd/koreanpulse", "relations": { "works_in": [ "fastmcp", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/whdrnr2583-cmd-koreanpulse" }, { "slug": "whdrnr2583-cmd-token-meter", "name": "whdrnr2583-cmd/token-meter", "vendor": "Various", "tagline": "whdrnr2583-cmd/token-meter — indexed from awesome-mcp-servers-punkpeye", "description": "A TypeScript-based MCP server that tracks and meters token usage for AI model interactions. It provides a standardized interface for monitoring consumption across different providers.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing basic token usage tracking within MCP-compatible environments.", "useCases": [ "Monitor token usage across multiple AI model calls", "Set usage limits and alerts for cost control", "Integrate token metering into existing MCP workflows" ], "pros": [ "Lightweight TypeScript implementation", "Standard MCP protocol for easy integration", "Useful for cost tracking and budgeting" ], "cons": [ "Zero stars and limited community adoption", "No documented support for specific AI providers", "Unclear maintenance status or feature set" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/whdrnr2583-cmd/token-meter", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "litellm" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/whdrnr2583-cmd-token-meter" }, { "slug": "whenlabs-org-when", "name": "WhenLabs-org/when", "vendor": "Various", "tagline": "Six tools. One install. The WhenLabs developer toolkit.", "description": "WhenLabs-org/when bundles six developer tools into a single TypeScript install. The toolkit aims to simplify common development workflows but currently has minimal community adoption.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers curious about emerging TypeScript-based toolkits who are willing to experiment with unproven software.", "useCases": [ "Consolidating multiple standalone developer utilities into one installation", "Exploring a lightweight TypeScript-based toolkit for development tasks", "Evaluating early-stage open source developer tooling" ], "pros": [ "Single install replaces managing six separate tools", "Written in TypeScript for type safety and maintainability" ], "cons": [ "Very limited community support with only one GitHub star", "Unclear what the six tools actually do or how reliable they are", "Potentially unmaintained given near-zero adoption" ], "tags": [ "ai-tools", "claude-code", "cli", "developer-tools", "devex", "mcp", "npm-package", "typescript" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/WhenLabs-org/when", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/whenlabs-org-when" }, { "slug": "whiteknightonhorse-apibase", "name": "whiteknightonhorse/APIbase", "vendor": "Various", "tagline": "Universal MCP gateway for AI agents — 618 tools, 191 providers. Bloomberg FIGI, SEC XBRL, npm, PyPI, climate, US Census, Congress, FEMA, SAM.gov, EPA, USNO, exercises, email verifi", "description": "APIbase is a universal MCP gateway that exposes 618 tools from 191 providers for AI agents. It aggregates diverse data sources including Bloomberg FIGI, SEC XBRL, npm, PyPI, climate, US Census, Congress, FEMA, SAM.gov, EPA, USNO, exercises, and email verification. Payment is per call via x402 USDC on Base and MPP Tempo.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need on-demand access to diverse public and financial APIs", "useCases": [ "Query SEC filings and financial identifiers via agent tools", "Access government datasets like Census, Congress, and FEMA", "Verify email addresses or fetch exercise data programmatically" ], "pros": [ "Broad coverage of 191 providers in a single gateway", "Pay-per-call model avoids upfront subscription costs", "TypeScript codebase for easy integration with agent frameworks" ], "cons": [ "Low community adoption with only 6 GitHub stars", "Dependency on USDC and Base blockchain for payments", "Limited documentation or examples beyond the README" ], "tags": [ "ai-agents", "ai-tools", "api-gateway", "api-hub", "awesome-mcp-servers", "base-network", "docker", "mcp" ], "featured": false, "tier": "curated", "stars": 6, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/whiteknightonhorse/APIbase", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "aider", "cline", "cursor", "claude-code", "continue" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/whiteknightonhorse-apibase" }, { "slug": "whw23-searxng-http-mcp", "name": "whw23/searxng-http-mcp", "vendor": "Various", "tagline": "A zero-install, cloud-hosted SearXNG MCP server over HTTP — no local runtime required.", "description": "This tool provides a hosted SearXNG meta-search endpoint as an MCP server accessible over HTTP, requiring no local installation or runtime. It allows developers to query multiple search engines through a single API without managing their own SearXNG instance.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers seeking a lightweight, hosted search API for prototyping or lightweight integrations", "useCases": [ "Integrating web search into AI agent workflows", "Adding meta-search capabilities to chatbot applications", "Prototyping tools that need aggregated search results" ], "pros": [ "Zero-install setup reduces deployment friction", "Cloud-hosted eliminates need for maintaining server infrastructure", "Simple HTTP interface for quick integration" ], "cons": [ "Relies on an external service which may affect latency and uptime", "Limited configurability compared to self-hosted SearXNG", "Potential cost or rate limits depending on usage tier" ], "tags": [], "featured": false, "tier": "curated", "stars": 4, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/whw23/searxng_http_mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "exa-labs-exa-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/whw23-searxng-http-mcp" }, { "slug": "whynowlab-jarvis-orb", "name": "whynowlab/jarvis-orb", "vendor": "Various", "tagline": "See AI thinking in real time — 3D orb that visualizes Claude Code reasoning. Free, open-source MCP server", "description": "A free, open-source MCP server that visualizes Claude Code reasoning in a 3D orb. It streams the model's internal thought process in real time, giving developers a spatial view of how the AI arrives at its outputs.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude Code who want to see and understand its reasoning process in real time.", "useCases": [ "Debugging Claude Code's reasoning chain during code generation", "Monitoring AI decision-making in real time for transparency", "Understanding model thought patterns to improve prompt design" ], "pros": [ "Open-source and free with no usage limits", "Provides real-time visual insight into AI reasoning", "Lightweight MCP server that integrates easily with Claude Code" ], "cons": [ "Very early stage with only 6 GitHub stars and minimal community", "Limited to Claude Code and requires an MCP server setup", "Visualization may not scale well for complex or long reasoning chains" ], "tags": [ "ai-agent", "ai-memory", "ai-reasoning", "ai-visualization", "anthropic", "claude-code", "claude-code-plugin", "context-persistence" ], "featured": false, "tier": "curated", "stars": 6, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/whynowlab/jarvis-orb", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/whynowlab-jarvis-orb" }, { "slug": "whyy9527-ariadne", "name": "whyy9527/ariadne", "vendor": "Various", "tagline": "Cross-service API dependency graph for Spring Boot + TypeScript microservice stacks. CLI + MCP server for Claude Code, Cursor, Windsurf. Offline static analysis over GraphQL, REST,", "description": "Ariadne is a CLI tool and MCP server that builds a cross-service API dependency graph for Spring Boot and TypeScript microservice stacks. It performs offline static analysis across GraphQL, REST, Kafka, and frontend query layers, enabling code editors like Claude Code, Cursor, and Windsurf to understand inter-service dependencies without runtime instrumentation.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers maintaining Spring Boot + TypeScript microservice architectures who want tool-assisted dependency insight.", "useCases": [ "Map dependencies between microservices for refactoring planning", "Verify no breaking API changes before deploying a service update", "Explore graph of REST, GraphQL, and Kafka endpoints from a single analysis" ], "pros": [ "Works offline with static analysis, no runtime overhead", "Supports multiple API protocols and message brokers out of the box", "Integrates directly with popular AI coding assistants via MCP" ], "cons": [ "Limited to Spring Boot and TypeScript stacks only", "Zero stars and no community validation yet", "Requires MCP-compatible editor for full interactive use" ], "tags": [ "apollo-graphql", "call-graph", "claude-code", "code-intelligence", "code-navigation", "developer-tools", "graphql", "kafka" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/whyy9527/ariadne", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/whyy9527-ariadne" }, { "slug": "willianpinho-large-file-mcp", "name": "willianpinho/large-file-mcp", "vendor": "Various", "tagline": "MCP Server for efficient large file operations in AI development workflows — chunk reading, smart search, replace", "description": "This MCP server enables AI agents to perform efficient large file operations, including chunk reading, smart search, and targeted text replacement. It provides a standardized interface via the Model Context Protocol, allowing agents to work with large text files without loading the entire content into memory.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to efficiently manipulate large text files within MCP-enabled environments", "useCases": [ "Reading large log files in manageable chunks during analysis", "Searching for patterns within massive text files without full transfer", "Applying targeted replacements in large configuration or data files" ], "pros": [ "Lightweight TypeScript implementation, easy to integrate into MCP-based workflows", "Specialized for large files, reducing memory overhead compared to naive reads", "Open source on GitHub with MIT license (allow unrestricted use)" ], "cons": [ "Small community with only 13 stars, limited support and contributions", "Narrow feature set focused solely on read, search, and replace operations", "Requires an MCP-compatible client, restricting use outside this ecosystem" ], "tags": [ "ai", "claude", "developer-tools", "llm", "mcp", "typescript" ], "featured": false, "tier": "curated", "stars": 13, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/willianpinho/large-file-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "wonderwhy-er-desktopcommandermcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/willianpinho-large-file-mcp" }, { "slug": "willvelida-mcp-afl-server", "name": "willvelida/mcp-afl-server", "vendor": "Various", "tagline": "This is a Model Context Protocol (MCP) server that provides AFL (Australian Football League) data from Squiggle API.", "description": "This is a Model Context Protocol (MCP) server written in C# that provides Australian Football League (AFL) data from the Squiggle API. It allows AI agents and tools using the MCP standard to query match results, fixtures, and team information.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-compatible AI agents that require Australian rules football data", "useCases": [ "Retrieve AFL match scores and fixtures for live data feeds", "Build an AI assistant that answers questions about AFL teams and players", "Integrate AFL statistics into a conversational agent or chatbot" ], "pros": [ "Provides structured AFL data through a standard MCP interface", "Lightweight C# implementation easy to embed in .NET projects", "Leverages the well-documented Squiggle API for reliable data" ], "cons": [ "Limited to Australian Football League data only", "Dependency on Squiggle API availability and rate limits", "Small community (15 stars) means limited support and updates" ], "tags": [], "featured": false, "tier": "curated", "stars": 15, "language": [ "C#" ], "license": "MIT", "lastUpdated": "2025-11-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/willvelida/mcp-afl-server", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/willvelida-mcp-afl-server" }, { "slug": "windborne-zulipmcp", "name": "windborne/zulipmcp", "vendor": "Various", "tagline": "Run AI agents in Zulip as @mentionable bots — or wire into any MCP client.", "description": "A Python tool that turns Zulip chat into an MCP server, letting AI agents join conversations as @mentionable bots. It also exposes Zulip channels to any MCP client for reading and writing messages.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to add AI agents to Zulip or bridge Zulip with MCP-compatible tools", "useCases": [ "Deploy an AI agent that responds to @mentions in Zulip channels", "Connect an MCP client to monitor and post in Zulip streams", "Build a bot that reads Zulip messages and triggers external workflows" ], "pros": [ "Tight integration with Zulip's real-time messaging API", "Works as both a standalone bot and a generic MCP server", "Lightweight Python implementation with minimal dependencies" ], "cons": [ "Requires a running Zulip server or account to use", "Limited to Zulip's message and stream model", "Small community and limited documentation beyond the repo" ], "tags": [ "agent", "ai-agent", "chatgpt", "claude", "llm", "mcp", "mcp-server", "slack" ], "featured": false, "tier": "curated", "stars": 9, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/windborne/zulipmcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "lharries-whatsapp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/windborne-zulipmcp" }, { "slug": "wisevision-mcp-server-ros-2", "name": "WiseVision/mcp_server_ros_2", "vendor": "Various", "tagline": "Advanced MCP Server ROS 2 bridging AI agents straight into robotics", "description": "A Python-based MCP server that connects AI agents to ROS 2 robotics systems. It enables agents to interact with robotic hardware and software through standardized MCP interfaces. The server handles communication between the AI agent and ROS 2 topics, services, and actions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers connecting MCP-compatible AI agents to real ROS 2 robots", "useCases": [ "Controlling robot navigation via natural language commands", "Feeding sensor data from ROS 2 topics into AI decision models", "Triggering robot actions through MCP tool calls" ], "pros": [ "Uses the MCP standard for seamless integration with compatible agents", "Python codebase with 78 stars indicating community traction", "Directly bridges AI agents to ROS 2 without proprietary middleware" ], "cons": [ "Relatively new project with limited adoption (78 stars)", "Requires proficiency in both ROS 2 and the Model Context Protocol", "No documented support for ROS 1 or simulation environments" ], "tags": [ "ai", "mcp", "mcp-server", "mcp-server-ros2", "ros2", "ros2-mcp-server" ], "featured": false, "tier": "curated", "stars": 78, "language": [ "Python" ], "license": "MPL-2.0", "lastUpdated": "2026-05-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/wise-vision/mcp_server_ros_2", "relations": { "works_in": [], "uses": [], "built_with": [ "awslabs-mcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/wisevision-mcp-server-ros-2" }, { "slug": "wishfinity-wishfinity-mcp-plusw", "name": "wishfinity/wishfinity-mcp-plusw", "vendor": "Various", "tagline": "📇 ☁️ 🏠 - Universal wishlist for AI shopping experiences. Save any product URL from any store to a wishlist. Works with Claude, ChatGPT, LangChain, n8n, and any MCP client.", "description": "This tool provides an MCP server for creating a universal wishlist from any online store. It accepts product URLs from users via AI chat interfaces like Claude or ChatGPT and stores them. It also integrates with automation platforms such as n8n and any MCP client.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI shopping assistants or wishlist management systems", "useCases": [ "Save product links from any retailer to a wishlist via AI chat", "Use with Claude or ChatGPT to track shopping items", "Integrate with n8n workflows for automated wishlist management" ], "pros": [ "Works with any online store, no vendor lock-in", "Compatible with multiple AI clients and automation tools", "Open source and written in TypeScript" ], "cons": [ "No community adoption yet (0 stars on GitHub)", "Requires setting up an MCP client to use", "New project with limited documentation" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/wishfinity/wishfinity-mcp-plusw", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "cursor" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/wishfinity-wishfinity-mcp-plusw" }, { "slug": "wklee610-kafka-mcp", "name": "wklee610/kafka-mcp", "vendor": "Various", "tagline": "MCP Server for Apache Kafka", "description": "wklee610/kafka-mcp is an MCP server that provides an interface to interact with Apache Kafka. It allows AI agents or tools to send and receive messages from Kafka topics using the Model Context Protocol. The implementation is in Python.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agent workflows that need a lightweight Kafka interface via MCP", "useCases": [ "Connecting AI agents to Kafka streams for real-time data processing", "Producing and consuming messages programmatically via MCP-compatible tools", "Integrating Kafka with MCP workflows for event-driven agent interactions" ], "pros": [ "Lightweight Python implementation with simple setup", "Provides a standardized MCP interface for Kafka", "Open source and easy to customize" ], "cons": [ "Low star count suggests limited adoption or early-stage development", "May lack comprehensive documentation or community support", "Only covers basic Kafka operations; advanced features are not guaranteed" ], "tags": [ "apache-kafka", "apache-kafka-consumer", "apache-kafka-producer", "claude-desktop", "kafka", "kafka-connector", "kafka-python", "mcp" ], "featured": false, "tier": "curated", "stars": 11, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-03-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/wklee610/kafka-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "pipedreamhq-pipedream" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/wklee610-kafka-mcp" }, { "slug": "wn01011-llm-token-tracker", "name": "wn01011/llm-token-tracker", "vendor": "Various", "tagline": "Token usage tracker for OpenAI and Claude APIs with MCP support. Pass accurate API costs to your users.", "description": "A TypeScript library that tracks token usage for OpenAI and Claude API calls. It integrates with the Model Context Protocol (MCP) to pass accurate cost data to end users.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need basic, accurate token cost tracking for OpenAI and Claude with MCP support", "useCases": [ "Monitor token consumption across LLM API calls", "Calculate real-time cost for user billing", "Integrate token tracking into MCP-compatible workflows" ], "pros": [ "Lightweight with no unnecessary dependencies", "Supports both OpenAI and Claude APIs", "Simple to add to existing projects" ], "cons": [ "Limited to two providers with no planned expansion", "Low community adoption may mean sparse documentation", "Lacks advanced analytics or visualization features" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-11-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/wn01011/llm-token-tracker", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp", "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/wn01011-llm-token-tracker" }, { "slug": "wolfe-jam-claude-faf-mcp", "name": "Wolfe-Jam/claude-faf-mcp", "vendor": "Various", "tagline": "Persistent Project Context for Claude — IANA-registered .faf format · 32 tools + 1 prompt · MCP Registry #2759", "description": "Provides persistent project context for Claude using the IANA-registered .faf format. Includes 32 tools and one prompt to manage context. Registered in the MCP Registry.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers managing persistent context for Claude projects.", "useCases": [ "Maintaining project context across conversational sessions with Claude.", "Organizing and structuring context files using .faf format.", "Leveraging 32 tools to manipulate or retrieve context data." ], "pros": [ "Provides persistent project context for Claude across sessions.", "Uses an IANA-registered file format for standardization.", "Offers 32 tools for fine-grained context management." ], "cons": [ "Small user base may indicate limited community support.", "Requires understanding of .faf format and MCP protocol.", "Only available in JavaScript, limiting language interoperability." ], "tags": [ "agents-md", "ai", "ai-context", "ai-readiness", "anthropic", "claude", "claude-ai", "claude-desktop" ], "featured": false, "tier": "curated", "stars": 17, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/Wolfe-Jam/claude-faf-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "eyaltoledano-claude-task-master", "upstash-context7" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/wolfe-jam-claude-faf-mcp" }, { "slug": "wolfe-jam-faf-mcp", "name": "Wolfe-Jam/faf-mcp", "vendor": "Various", "tagline": "Persistent Project Context for Cursor, IDEs and VS Code — IANA-registered .faf format · 25 tools", "description": "An MCP server that provides persistent project context for Cursor, IDEs, and VS Code using the IANA-registered .faf format. It exposes 25 tools for managing context and is written in TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Cursor or VS Code who need a standardized way to persist and share project context.", "useCases": [ "Persisting and retrieving project context across IDE sessions", "Sharing context between multiple IDEs or tools via .faf files", "Integrating context management into Cursor or VS Code workflows" ], "pros": [ "Uses a standardized, IANA-registered format for interoperability", "Offers 25 tools for flexible context manipulation", "Lightweight integration with popular IDEs" ], "cons": [ "Very small community and low star count (3) implies limited adoption", "Documentation and examples may be sparse", "Format is not yet widely used outside this tool" ], "tags": [ "agents-md", "ai", "ai-context", "claude", "cline", "cursor", "developer-tools", "faf" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/Wolfe-Jam/faf-mcp", "relations": { "works_in": [ "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/wolfe-jam-faf-mcp" }, { "slug": "wolido-openaaas", "name": "Wolido/OpenAaaS", "vendor": "Various", "tagline": "OpenAaaS: science agent network — bring AI to your data, not your data to AI. AaaS, Agent as a Service, MCP protocol, local execution, Docker sandbox, zero-config Rust nodes.", "description": "OpenAaaS is a science agent network that executes AI agents on local data using an Agent as a Service model. It employs the MCP protocol for orchestration, runs agents in Docker sandboxes, and is built with zero-configuration Rust nodes.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Scientists and researchers who need privacy-preserving AI agent networks on local data", "useCases": [ "Run AI agents on local scientific data without uploading it", "Deploy zero-config Rust agents in isolated Docker sandboxes", "Orchestrate agent services using the MCP protocol" ], "pros": [ "Brings computation to data, preserving privacy", "Zero-configuration Rust nodes simplify deployment", "Docker sandboxing provides isolation for agent execution" ], "cons": [ "Low GitHub stars (19) indicate a small community and early stage", "Limited to the Rust ecosystem for node development", "Requires Docker, which may be heavy for lightweight environments" ], "tags": [ "aaas", "agent-as-a-service", "ai-agents", "ai-for-science", "docker", "mcp", "model-context-protocal", "scientific" ], "featured": false, "tier": "curated", "stars": 19, "language": [ "Rust" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/Wolido/OpenAaaS", "relations": { "works_in": [], "uses": [ "docker" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/wolido-openaaas" }, { "slug": "wonderwhy-er-desktopcommandermcp", "name": "wonderwhy-er/DesktopCommanderMCP", "vendor": "Various", "tagline": "This is MCP server for Claude that gives it terminal control, file system search and diff file editing capabilities", "description": "DesktopCommanderMCP is an MCP server that gives Claude terminal control, file system search, and diff-based file editing capabilities. It allows Claude to execute shell commands, search files, and apply edits with diff previews on the user's machine.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to give Claude direct access to their development environment for automation", "useCases": [ "Running shell commands through Claude", "Searching file system for code or documents", "Editing files with diff previews" ], "pros": [ "Open source TypeScript implementation with 6k+ stars", "Enables direct terminal and file system access for Claude", "Supports diff-based editing for safer file modifications" ], "cons": [ "Requires Claude desktop app or compatible MCP client", "Granting terminal access to AI poses security risks", "Needs careful permission management to prevent unintended actions" ], "tags": [ "agent", "ai", "code-analysis", "code-generation", "gemini-cli-extension", "mcp", "terminal-ai", "terminal-automation" ], "featured": false, "tier": "curated", "stars": 6097, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/wonderwhy-er/DesktopCommanderMCP", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/wonderwhy-er-desktopcommandermcp" }, { "slug": "wong2-mcp-cli", "name": "wong2/mcp-cli", "vendor": "Various", "tagline": "A CLI inspector for the Model Context Protocol", "description": "A command-line tool for inspecting Model Context Protocol (MCP) communications. It displays MCP messages in a readable format, helping developers debug and understand protocol interactions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers debugging or verifying MCP-based integrations", "useCases": [ "Debugging MCP server implementations", "Inspecting MCP client-server message flows", "Validating MCP protocol compliance" ], "pros": [ "Simple CLI interface, no GUI overhead", "Open source with 436 stars indicates community trust", "Written in JavaScript, easy to extend or fork" ], "cons": [ "Text-only output; can be overwhelming with large message volumes", "No interactive features like filtering or stepping through messages", "Requires Node.js runtime and manual setup for custom servers" ], "tags": [], "featured": false, "tier": "curated", "stars": 436, "language": [ "JavaScript" ], "license": "GPL-3.0", "lastUpdated": "2026-05-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/wong2/mcp-cli", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/wong2-mcp-cli" }, { "slug": "woobox-hatchable-mcp", "name": "Woobox/hatchable-mcp", "vendor": "Various", "tagline": "Hosted full-stack app platform. Creates a Postgres database, deploys API functions, and serves static sites from any MCP client. OAuth 2.1 + PKCE with DCR; bearer fallback. Free ti", "description": "A hosted full-stack app platform that creates a Postgres database, deploys API functions, and serves static sites from any MCP client. It uses OAuth 2.1 with PKCE and Dynamic Client Registration, with a bearer token fallback. A free tier is available.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a quick full-stack deployment with OAuth from MCP clients", "useCases": [ "Deploying full-stack apps with a Postgres backend", "Serving static sites from an MCP client", "Prototyping APIs with OAuth authentication" ], "pros": [ "Free tier for experimentation", "Built-in OAuth 2.1 + PKCE security", "Combines database, API, and static hosting in one platform" ], "cons": [ "Zero stars on GitHub suggests early stage or low adoption", "JavaScript only, limiting language choice", "Hosted platform may create vendor dependency" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/Woobox/hatchable-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [ "pipedreamhq-pipedream" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/woobox-hatchable-mcp" }, { "slug": "wooonster-hocr-mcp-server", "name": "Wooonster/hocr_mcp_server", "vendor": "Various", "tagline": "🐍 🏠 – A fastAPI-based FastMCP server with a Vue frontend that sends uploaded images to VLM via the MCP to quickly extract handwritten mathematical formulas as clean LaTeX code.", "description": "A FastAPI server with a Vue frontend that accepts image uploads. It sends each image to a vision language model through the MCP protocol to extract handwritten mathematical formulas. The output is clean LaTeX code.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Researchers and students needing to digitize handwritten math into LaTeX", "useCases": [ "Extracting LaTeX from handwritten math notes", "Converting photos of blackboard equations to digital format", "Automating digitization of math homework into LaTeX" ], "pros": [ "Provides a web interface for easy image upload", "Outputs clean LaTeX code from handwritten formulas", "Leverages the MCP protocol for flexibility with vision models" ], "cons": [ "Low adoption with only 2 GitHub stars", "Limited to handwritten mathematical formula extraction", "Requires a compatible vision language model and MCP setup" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "lastUpdated": "2025-08-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/Wooonster/hocr_mcp_server", "relations": { "works_in": [ "cline", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/wooonster-hocr-mcp-server" }, { "slug": "wooxogh-adr-mcp-setup", "name": "wooxogh/adr-mcp-setup", "vendor": "Various", "tagline": "wooxogh/adr-mcp-setup — indexed from awesome-mcp-servers-punkpeye", "description": "A JavaScript MCP server for setting up Architecture Decision Records (ADR). It is listed in the awesome-mcp-servers collection and provides a basic integration point for ADR workflows within MCP environments.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring ADR integration with MCP in early-stage or experimental projects", "useCases": [ "Initialize ADR templates via MCP tools", "Manage architecture decisions through a model context protocol interface", "Experiment with ADR automation in JavaScript-based MCP setups" ], "pros": [ "Open source and free to use", "Written in JavaScript, accessible to a wide developer audience", "Listed in a curated MCP server directory" ], "cons": [ "Very low star count (2) indicates minimal adoption and testing", "Limited documentation and community support", "May lack advanced features or stability for production use" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-03-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/wooxogh/adr-mcp-setup", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/wooxogh-adr-mcp-setup" }, { "slug": "wopee-io-wopee-mcp", "name": "Wopee-io/wopee-mcp", "vendor": "Various", "tagline": "Wopee-io/wopee-mcp — indexed from awesome-mcp-servers-punkpeye", "description": "A TypeScript MCP server with 3 GitHub stars, indexed in the awesome-mcp-servers list. Its specific functionality is not detailed in the available metadata.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring MCP server implementations or needing a lightweight TypeScript reference", "useCases": [ "Extending AI assistant capabilities via the Model Context Protocol", "Building custom tool integrations for MCP-compatible agents", "Learning MCP server development from a minimal example" ], "pros": [ "Written in TypeScript for type safety and readability", "Listed in curated awesome-mcp-servers for discoverability" ], "cons": [ "Very low star count indicates limited community traction or early stage", "No description of actual functionality or features available" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/Wopee-io/wopee-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/wopee-io-wopee-mcp" }, { "slug": "workopia-workopia-mcp", "name": "workopia/workopia-mcp", "vendor": "Various", "tagline": "Workopia MCP Server — free job search, resume builder & career advice for Claude, ChatGPT, Cursor.", "description": "Workopia MCP Server is a free tool that provides job search, resume building, and career advice through MCP-compatible clients like Claude, ChatGPT, and Cursor. It uses JavaScript to integrate these features directly into the assistant's workflow.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and job seekers who want to search for jobs and manage resumes directly within their AI assistant.", "useCases": [ "Search for jobs using natural language queries within a chat interface", "Build or update a resume with guided prompts from the assistant", "Get career advice and recommendations without leaving the conversation" ], "pros": [ "Free to use with no subscription required", "Works with popular AI assistants and IDEs", "Combines job search, resume building, and career advice in one tool" ], "cons": [ "Low GitHub star count (7) suggests limited community adoption or testing", "Relies on third-party MCP clients which may have varying compatibility", "Job search scope and data freshness depend on underlying sources not specified" ], "tags": [], "featured": false, "tier": "curated", "stars": 7, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/workopia/workopia-mcp", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/workopia-workopia-mcp" }, { "slug": "work90210-apifold", "name": "Work90210/APIFold", "vendor": "Various", "tagline": "Turn any REST API into an MCP server. No code required.", "description": "APIFold generates a Model Context Protocol (MCP) server from any REST API using an OpenAPI specification. It requires no coding, making it a drop-in bridge between existing REST endpoints and MCP-compatible AI agents.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a fast, no‑code way to make REST APIs available as MCP servers.", "useCases": [ "Convert internal REST APIs into MCP servers for AI assistants", "Rapidly expose third-party APIs to AI agents via MCP without writing server code", "Test MCP integration for existing REST endpoints before building custom servers" ], "pros": [ "Completely code‑free setup from an OpenAPI spec", "Leverages existing REST APIs without modification", "Quick to prototype MCP server integrations" ], "cons": [ "Requires a valid OpenAPI specification for the target API", "Low GitHub star count (6) indicates early‑stage or limited community adoption", "May not handle non‑standard or undocumented REST endpoints" ], "tags": [], "featured": false, "tier": "curated", "stars": 6, "language": [ "TypeScript" ], "license": "AGPL-3.0", "lastUpdated": "2026-05-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/Work90210/APIFold", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "fastmcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/work90210-apifold" }, { "slug": "wowinter13-solscan-mcp", "name": "wowinter13/solscan-mcp", "vendor": "Various", "tagline": "An MCP server for querying Solana transactions using natural language with Solscan API", "description": "An MCP server that translates natural language queries into Solscan API calls for Solana blockchain data. It lets developers inspect transactions, accounts, and token activity through conversational prompts instead of raw RPC endpoints.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to query Solana blockchain data using natural language within an MCP-enabled environment", "useCases": [ "Ask about recent transactions for a Solana wallet address", "Check token balances or token metadata for a given account", "Query Solana block or slot details using plain English" ], "pros": [ "Lowers the barrier to exploring Solana data without writing custom API code", "Written in Rust for performance and reliability", "Small, focused tool that integrates with MCP-compatible clients" ], "cons": [ "Requires an MCP client to use, not a standalone application", "Limited to data available through the Solscan API, not full on-chain access", "Relatively new with a small community and limited documentation" ], "tags": [ "crate", "crates", "mcp", "mcp-client", "mcp-server", "modelcontextprotocol", "rust", "solana" ], "featured": false, "tier": "curated", "stars": 41, "language": [ "Rust" ], "lastUpdated": "2025-08-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/wowinter13/solscan-mcp", "relations": { "works_in": [ "cursor", "cline", "claude-code" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/wowinter13-solscan-mcp" }, { "slug": "wrg-11-wrg-sigma-rules", "name": "WRG-11/wrg-sigma-rules", "vendor": "Various", "tagline": "Sigma detection rule writing, validation, and conversion for Claude Code -- LLM-assisted + pySigma + multi-backend (Splunk, Elastic, Kibana, Wazuh). 61 production rules + 3 MCP too", "description": "A developer tool that uses LLM assistance and pySigma to write, validate, and convert Sigma detection rules for multiple backends including Splunk, Elastic, Kibana, and Wazuh. It provides 61 production rules, 3 MCP tools, and 3 skills for integration with Claude Code.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Security engineers and detection engineers who want to accelerate Sigma rule creation and conversion using LLM assistance.", "useCases": [ "Generate Sigma detection rules from natural language prompts via Claude Code", "Validate and convert existing Sigma rules to different SIEM backends", "Automate rule creation and testing in security operations workflows" ], "pros": [ "Supports multiple SIEM backends out of the box", "Includes a library of production-ready rules to start from", "Integrates directly with Claude Code for LLM-assisted rule writing" ], "cons": [ "Requires familiarity with Sigma rule syntax and pySigma", "Dependent on Claude Code for LLM features, limiting portability", "Small community and zero stars indicate limited adoption or testing" ], "tags": [ "claude-code", "claude-code-plugin", "detection-as-code", "detection-engineering", "elasticsearch", "kibana", "mcp-server", "mitre-attack" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/WRG-11/wrg-sigma-rules", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/wrg-11-wrg-sigma-rules" }, { "slug": "ws-mcp", "name": "ws-mcp", "vendor": "Various", "tagline": "Wrap MCP servers with a WebSocket (for use with [kitbitz](https://github.com/nick1udwig/kibitz))", "description": "ws-mcp is a Python tool that wraps MCP servers with a WebSocket interface, enabling communication with the Kibitz agent framework. It acts as a bridge, allowing MCP-based tools to be accessed over WebSocket connections.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building agents with Kibitz that need to connect MCP servers via WebSocket", "useCases": [ "Expose MCP servers to WebSocket clients for real-time interaction", "Integrate MCP tools with the Kibitz agent framework", "Enable remote or browser-based access to MCP server capabilities" ], "pros": [ "Simple bridge for WebSocket-based MCP access", "Lightweight Python implementation", "Directly supports Kibitz integration" ], "cons": [ "Limited to WebSocket transport only", "Small community and low star count (20)", "Narrow use case tied to Kibitz framework" ], "tags": [], "featured": false, "tier": "curated", "stars": 20, "language": [ "Python" ], "lastUpdated": "2025-09-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/nick1udwig/ws-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ws-mcp" }, { "slug": "wso2-fhir-mcp-server", "name": "wso2/fhir-mcp-server", "vendor": "Various", "tagline": "FHIR MCP Server – helping you expose any FHIR Server or API as a MCP Server.", "description": "A Python server that exposes any FHIR Server or API as an MCP Server. It allows AI agents and tools to query healthcare data using the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI tools that need structured healthcare data access", "useCases": [ "Querying patient records via natural language", "Integrating FHIR data with AI assistants", "Building healthcare chatbots that access medical data" ], "pros": [ "Open source with 122 GitHub stars", "Written in Python for easy integration", "Leverages the FHIR standard for healthcare data" ], "cons": [ "Relatively low community adoption", "Requires a running FHIR server to connect to", "May need custom configuration for complex queries" ], "tags": [ "fhir", "healthcare", "mcp", "mcp-server", "modelcontextprotocol" ], "featured": false, "tier": "curated", "stars": 122, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/wso2/fhir-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "cline", "claude-code" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/wso2-fhir-mcp-server" }, { "slug": "wuye-ai-mcp-server-wuye-ai", "name": "Wuye-AI/mcp-server-wuye-ai", "vendor": "Various", "tagline": "CRIC物业AI MCP Server", "description": "An open-source Model Context Protocol server for CRIC property management AI. It exposes property management data and actions through the MCP standard for integration with AI assistants.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants for CRIC property management", "useCases": [ "Query property management data via AI assistants", "Automate property service workflows using MCP tools", "Integrate AI assistants with CRIC property systems" ], "pros": [ "Follows the MCP standard for easy integration with compatible clients", "Open source and free to use", "Targets a specific property management domain" ], "cons": [ "Low community adoption (4 stars) indicates limited testing and support", "Documentation and examples are sparse", "May require CRIC-specific infrastructure or access" ], "tags": [ "agent", "ai", "mcp", "mcp-server", "property-management" ], "featured": false, "tier": "curated", "stars": 4, "language": [], "lastUpdated": "2026-04-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/wuye-ai/mcp-server-wuye-ai", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "cline", "cursor", "claude-code" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/wuye-ai-mcp-server-wuye-ai" }, { "slug": "wyattjoh-calendar-mcp", "name": "wyattjoh/calendar-mcp", "vendor": "Various", "tagline": "MCP server for accessing macOS Calendar events", "description": "An MCP server that provides access to macOS Calendar events. It enables AI agents to read calendar data through the Model Context Protocol. Built in TypeScript, it is a minimal implementation for integrating macOS calendars with MCP-compatible tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based tools that need to read macOS Calendar events", "useCases": [ "Reading upcoming calendar events for an AI assistant", "Integrating macOS calendar data into MCP-based workflows", "Building a personal productivity agent that checks your schedule" ], "pros": [ "Simple and focused on a single platform (macOS)", "Written in TypeScript for type safety and maintainability", "Direct integration with the native macOS Calendar app" ], "cons": [ "Very early stage with only 1 star and limited community adoption", "Only supports macOS, no cross-platform calendar access", "Likely read-only; no event creation or modification capabilities" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-08-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/wyattjoh/calendar-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "awslabs-mcp" ], "pairs_with": [ "agent-infra-mcp-server-browser", "ahujasid-blender-mcp", "mediar-ai-screenpipe" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/wyattjoh-calendar-mcp" }, { "slug": "wyattjoh-imessage-mcp", "name": "wyattjoh/imessage-mcp", "vendor": "Various", "tagline": "A Model Context Protocol server for reading iMessage data from macOS.", "description": "A TypeScript implementation of the Model Context Protocol (MCP) server that reads iMessage data from macOS. It exposes iMessage conversations and messages to MCP-compatible clients, allowing language models to access local message history.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "macOS developers building local AI tools that need read access to iMessage conversations.", "useCases": [ "Access iMessage conversations for context in AI assistants", "Retrieve message history for local analysis or logging", "Integrate iMessage data into MCP-based workflows" ], "pros": [ "Lightweight and focused solely on reading iMessage data", "Open source TypeScript codebase, easy to audit and modify", "Compatible with any MCP client for standard integration" ], "cons": [ "Only works on macOS due to iMessage platform dependency", "Requires permissions to access the iMessage database, which may involve system security restrictions", "Small community (27 stars) may mean limited support and slower updates" ], "tags": [], "featured": false, "tier": "curated", "stars": 27, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/wyattjoh/imessage-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [ "lharries-whatsapp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/wyattjoh-imessage-mcp" }, { "slug": "wyattjoh-jmap-mcp", "name": "wyattjoh/jmap-mcp", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server that provides tools for interacting with JMAP (JSON Meta Application Protocol) email servers. Built with Deno and using the jmap-jam client li", "description": "A Model Context Protocol server that exposes JMAP email server capabilities as tools for AI agents. Built with Deno and the jmap-jam client library. It allows agents to read, send, and manage emails via the JMAP protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to interact with JMAP email servers", "useCases": [ "Reading emails from a JMAP server", "Sending emails through a JMAP account", "Managing mailboxes and messages via MCP tools" ], "pros": [ "Leverages the modern MCP standard for AI tool integration", "Built with TypeScript for type safety", "Supports the efficient JMAP protocol for email operations" ], "cons": [ "Requires a JMAP-compatible email server (not all providers support JMAP)", "Depends on Deno runtime which may not be standard in all environments", "Limited community and documentation due to early stage" ], "tags": [], "featured": false, "tier": "curated", "stars": 171, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/wyattjoh/jmap-mcp", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/wyattjoh-jmap-mcp" }, { "slug": "wyattjoh-jsr-mcp", "name": "wyattjoh/jsr-mcp", "vendor": "Various", "tagline": "Model Context Protocol server for the JSR (JavaScript Registry)", "description": "A Model Context Protocol server that provides an interface to query the JavaScript Registry (JSR). Built in TypeScript, it enables MCP-compatible clients to search packages, retrieve metadata, and interact with the registry programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-integrated agents or tools that need to query the JavaScript Registry.", "useCases": [ "Search for packages by name or tag from JSR", "Retrieve package metadata and version details", "Integrate JSR queries into MCP-based agent workflows" ], "pros": [ "Direct access to JSR through a standard MCP interface", "Lightweight and straightforward TypeScript implementation", "Useful for any MCP-enabled tool requiring registry data" ], "cons": [ "Very early stage with only 2 GitHub stars and limited adoption", "Minimal documentation or examples beyond the README", "Feature set likely restricted to basic query operations" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-01-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/wyattjoh/jsr-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/wyattjoh-jsr-mcp" }, { "slug": "x402-index-x402search-mcp", "name": "x402-index/x402search-mcp", "vendor": "Various", "tagline": "Search 13,000+ x402-enabled APIs from your AI agent. Powered by x402search.xyz", "description": "x402-index/x402search-mcp is an MCP server that lets AI agents search over 13,000 x402-enabled APIs. It queries the x402search.xyz index and returns matching API endpoints for agentic workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to discover and use x402-compatible APIs", "useCases": [ "Discover x402-compatible APIs for agent tool selection", "Query API index from within an AI coding assistant", "Integrate API discovery into automated pipeline decisions" ], "pros": [ "Accesses a large, specialized index of x402 APIs", "Works directly with MCP-compatible AI agents", "Lightweight JavaScript implementation" ], "cons": [ "Very early stage with only 1 GitHub star", "Limited to x402-enabled APIs only", "No documentation or usage examples provided" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "JavaScript" ], "lastUpdated": "2026-03-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/x402-index/x402search-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "exa-labs-exa-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/x402-index-x402search-mcp" }, { "slug": "wynelson94-longhand", "name": "Wynelson94/longhand", "vendor": "Various", "tagline": "Lossless local memory for Claude Code. The full, unabbreviated version. Every tool call, every file edit, every thinking block — stored verbatim on your machine. Persistent memory", "description": "Longhand is a local memory tool for Claude Code that records every interaction verbatim. It stores tool calls, file edits, and thinking blocks on your machine without consuming tokens.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need complete, token-free logs of Claude Code sessions", "useCases": [ "Audit full Claude Code sessions with complete history", "Debug or replay model actions during development", "Maintain persistent session logs without cloud dependency" ], "pros": [ "Lossless local recording of all Claude Code activity", "No token cost for logging", "Open-source Python implementation" ], "cons": [ "Limited to Claude Code ecosystems", "Small community and early stage with only 10 stars", "Local storage only, no built-in sharing or sync" ], "tags": [ "ai-memory", "anthropic", "chromadb", "claude-code", "forensic", "local-first", "lossless", "mcp" ], "featured": false, "tier": "curated", "stars": 10, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/Wynelson94/longhand", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/wynelson94-longhand" }, { "slug": "x51xxx-codex-mcp-tool", "name": "x51xxx/codex-mcp-tool", "vendor": "Various", "tagline": "📇 ☁️ - MCP server that connects your IDE or AI assistant to Codex CLI for code analysis and editing with support for multiple models (gpt-5-codex, o3, codex-1)", "description": "This MCP server bridges your IDE or AI assistant with Codex CLI, enabling code analysis and editing through the Model Context Protocol. It supports multiple models including gpt-5-codex, o3, and codex-1.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Codex CLI who want to integrate it into their IDE via the Model Context Protocol", "useCases": [ "Integrate Codex CLI into VS Code or other IDEs for AI-assisted code editing", "Run code analysis with different model backends via MCP client", "Automate code modifications by connecting AI assistants to Codex CLI" ], "pros": [ "Compatible with any MCP client (IDE, AI assistants)", "Supports multiple model backends including gpt-5-codex and o3", "Easy to set up with existing Codex CLI installation" ], "cons": [ "Requires Codex CLI to be installed and configured separately", "Small community with only 21 GitHub stars, limiting support and contributions", "May have limited documentation or undiscovered edge cases" ], "tags": [ "ai-tools", "claude", "code-review", "codex", "cursor", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 21, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/x51xxx/codex-mcp-tool", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/x51xxx-codex-mcp-tool" }, { "slug": "x51xxx-copilot-mcp-server", "name": "x51xxx/copilot-mcp-server", "vendor": "Various", "tagline": "MCP server for GitHub Copilot CLI integration", "description": "An MCP server written in TypeScript that integrates GitHub Copilot CLI with the Model Context Protocol, enabling custom tool and resource interactions through the CLI. It provides a bridge for developers to extend Copilot's capabilities using MCP-compatible clients or workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with MCP-based extensions for GitHub Copilot CLI", "useCases": [ "Connect Copilot CLI to MCP-based agent frameworks", "Create custom Copilot workflows that call external MCP tools", "Prototype Copilot CLI integrations without building from scratch" ], "pros": [ "Open source and freely available on GitHub", "Written in TypeScript with typed interfaces", "Solves a specific integration gap between Copilot CLI and MCP" ], "cons": [ "Very low star count indicates minimal community adoption or testing", "No documented usage examples or project maturity indicators", "Relies on Copilot CLI's experimental features which may change" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-12-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/x51xxx/copilot-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/x51xxx-copilot-mcp-server" }, { "slug": "xcodebuild", "name": "xcodebuild", "vendor": "Various", "tagline": "MCP tool for building Xcode iOS workspace/project and feeding back error to LLMs.", "description": "xcodebuild is an MCP (Model Context Protocol) tool that builds Xcode iOS workspaces or projects and returns the resulting build errors to an LLM. It enables AI assistants to automatically trigger builds and receive structured error feedback for iterative problem-solving.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using AI assistants to build and debug iOS apps within an MCP-based environment", "useCases": [ "Automating Xcode builds within an LLM-driven coding loop", "Feeding build errors back to an AI assistant for next-step suggestions", "Integrating iOS project compilation checks into a MCP-enabled development workflow" ], "pros": [ "Direct integration of build results into LLM context", "Open source with 84 GitHub stars and Python implementation", "Streamlines the debug cycle by bridging Xcode with AI" ], "cons": [ "Limited to Xcode projects (iOS/macOS) only", "Requires MCP-compatible client and local setup", "No support for non-Apple build systems or cross-platform projects" ], "tags": [], "featured": false, "tier": "curated", "stars": 84, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-08-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/ShenghaiWang/xcodebuild", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/xcodebuild" }, { "slug": "xeroapi-xero-mcp-server", "name": "XeroAPI/xero-mcp-server", "vendor": "Various", "tagline": "An MCP server that integrates with the MCP protocol. https://modelcontextprotocol.io/introduction", "description": "An open-source TypeScript server that implements the Model Context Protocol (MCP) to connect AI agents with the Xero accounting API. It enables standardized access to Xero data such as invoices, contacts, and bank transactions through MCP-compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to access Xero accounting data", "useCases": [ "Connect AI assistants to Xero for querying invoices and accounts", "Automate accounting workflows by integrating MCP agents with Xero", "Build custom tools that read and manage Xero financial data via MCP" ], "pros": [ "Open source with 294 GitHub stars and a TypeScript codebase", "Follows the MCP standard for interoperability with AI clients", "Provides a direct bridge between Xero API and MCP-enabled agents" ], "cons": [ "Requires Xero API credentials and OAuth setup to use", "Limited to data and actions exposed by the Xero API", "Only works with clients that support the Model Context Protocol" ], "tags": [], "featured": false, "tier": "curated", "stars": 294, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/XeroAPI/xero-mcp-server", "relations": { "works_in": [ "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/xeroapi-xero-mcp-server" }, { "slug": "xexr-mcp-libsql", "name": "xexr/mcp-libsql", "vendor": "Various", "tagline": "Secure MCP server for libSQL databases with comprehensive tools, connection pooling, and transaction support. Built with TypeScript for Claude Desktop, Claude Code, Cursor, and oth", "description": "xexr/mcp-libsql is a secure MCP server for libSQL databases. It provides comprehensive database tools, connection pooling, and transaction support. Built with TypeScript, it integrates with Claude Desktop, Claude Code, Cursor, and other MCP clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude or Cursor who need to interact with libSQL databases", "useCases": [ "Query libSQL databases from AI coding assistants", "Manage database schemas and transactions via MCP", "Enable secure database access in Claude or Cursor workflows" ], "pros": [ "Supports connection pooling for efficient database access", "Provides transaction support for safe operations", "Built with TypeScript for type safety and reliability" ], "cons": [ "Limited to libSQL databases, not other SQL engines", "Low star count (21) indicates early adoption phase", "Requires an MCP-compatible client to be useful" ], "tags": [ "ai-tools", "claude", "database", "libsql", "mcp", "mcp-server", "mcp-tools", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 21, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-06-03", "addedAt": "2026-06-01", "officialLink": "https://github.com/Xexr/mcp-libsql", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/xexr-mcp-libsql" }, { "slug": "xgenerationlab-xiyan-mcp-server", "name": "XGenerationLab/xiyan_mcp_server", "vendor": "Various", "tagline": "A Model Context Protocol (MCP) server that enables natural language queries to databases", "description": "An MCP server that accepts natural language queries and translates them into database queries. It implements the Model Context Protocol to enable AI assistants and other MCP clients to query databases using plain language.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to add natural language database querying to MCP-based AI assistants or tools", "useCases": [ "Query databases via natural language from an MCP-compatible AI assistant", "Build a natural language interface for existing databases without writing SQL", "Integrate database querying into MCP-based workflows and tools" ], "pros": [ "Open source and written in Python, easy to extend or modify", "Leverages the standard MCP protocol for interoperability with MCP clients", "Lightweight server with a focused purpose" ], "cons": [ "Requires an MCP-compatible client to interact with the server", "Database support is limited to what the server's underlying adapter provides", "Relatively new project with limited community documentation and examples" ], "tags": [ "database", "mcp", "text-to-sql" ], "featured": false, "tier": "curated", "stars": 236, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-02-11", "addedAt": "2026-06-01", "officialLink": "https://github.com/XGenerationLab/xiyan_mcp_server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/xgenerationlab-xiyan-mcp-server" }, { "slug": "xing5-mcp-google-sheets", "name": "xing5/mcp-google-sheets", "vendor": "Various", "tagline": "This MCP server integrates with your Google Drive and Google Sheets, to enable creating and modifying spreadsheets.", "description": "A Python-based MCP (Model Context Protocol) server that integrates with Google Drive and Google Sheets. It enables creating, reading, and modifying spreadsheets programmatically through the MCP interface, commonly used by AI agents like Claude to interact with spreadsheet data.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or MCP servers that need to automate Google Sheets tasks", "useCases": [ "Enable an AI assistant to create and populate spreadsheets dynamically", "Automate data retrieval and updates in Google Sheets via natural language commands", "Integrate spreadsheet operations into custom MCP-based workflows" ], "pros": [ "Open-source and widely adopted with 884 GitHub stars", "Straightforward MCP integration for existing AI tools", "Python-based, easy to extend or customize" ], "cons": [ "Requires Google Cloud project setup and OAuth credentials", "Limited to Google Sheets, no support for Excel or other spreadsheet formats", "Dependent on network access to Google APIs" ], "tags": [ "google", "mcp", "mcp-server", "spreadsheet" ], "featured": false, "tier": "curated", "stars": 884, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/xing5/mcp-google-sheets", "relations": { "works_in": [ "claude-code", "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "haris-musa-excel-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/xing5-mcp-google-sheets" }, { "slug": "xixianliang-harmonyos-mcp-server", "name": "XixianLiang/HarmonyOS-mcp-server", "vendor": "Various", "tagline": "MCP server for manipulating HarmonyOS next devices.", "description": "A Python-based MCP server that exposes a model context protocol interface for controlling HarmonyOS Next devices. It enables programmatic manipulation of device functions through standardized MCP commands.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a simple MCP bridge to script or control HarmonyOS Next devices", "useCases": [ "Automate testing workflows on HarmonyOS Next devices", "Integrate HarmonyOS device control into AI agent pipelines", "Remotely manage device states via MCP-compatible tools" ], "pros": [ "Python codebase is easy to extend and integrate", "Uses the emerging MCP standard for interoperability", "Open source with no vendor lock-in" ], "cons": [ "Low community size (33 stars) suggests limited support", "No documented examples or usage guides beyond the repo", "May lack stability or wide device coverage for HarmonyOS Next" ], "tags": [], "featured": false, "tier": "curated", "stars": 33, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-08-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/XixianLiang/HarmonyOS-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mobile-next-mobile-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/xixianliang-harmonyos-mcp-server" }, { "slug": "xjtlumedia-context-first-mcp", "name": "XJTLUmedia/Context-First-MCP", "vendor": "Various", "tagline": "📇 ☁️ 🏠 🍎 🪟 🐧 - Session memory, context health monitoring, reasoning quality, and truthfulness verification MCP server with 37 tools and tiered memory storage. `npx -y context-", "description": "Context-First-MCP is a Model Context Protocol server that provides session memory, context health monitoring, reasoning quality assessment, and truthfulness verification. It offers 37 tools and tiered memory storage, and can be run via npx.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need robust session context and reasoning quality checks", "useCases": [ "Monitor and verify the quality of AI reasoning in a session", "Store and retrieve session context with tiered memory", "Check truthfulness of AI-generated responses" ], "pros": [ "Large set of 37 tools for diverse context management tasks", "Includes truthfulness verification for more reliable outputs", "Easy to run with a single npx command" ], "cons": [ "Zero stars on GitHub suggests very limited adoption or testing", "No clear documentation on tiered memory storage implementation", "Dependency on npx may require Node.js setup" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-15", "addedAt": "2026-06-01", "officialLink": "https://github.com/XJTLUmedia/Context-First-MCP", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "upstash-context7", "topoteretes-cognee", "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/xjtlumedia-context-first-mcp" }, { "slug": "xjtlumedia-ai-hr-management-toolkit", "name": "XJTLUmedia/AI-HR-Management-Toolkit", "vendor": "Various", "tagline": "AI HR Management Toolkit", "description": "A TypeScript-based toolkit for integrating AI into human resources management workflows. It provides modular components for tasks such as candidate screening, employee data analysis, and automated HR processes. The project is hosted on GitHub with no current stars, indicating early-stage development.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring AI-enhanced HR tooling who are comfortable with early-stage open source projects", "useCases": [ "Automating resume parsing and candidate shortlisting", "Analyzing employee sentiment from survey responses", "Building custom HR dashboards with AI-driven insights" ], "pros": [ "Open source and free to use or modify", "Written in TypeScript for type safety and maintainability", "Modular design allows selective integration into existing systems" ], "cons": [ "No community adoption or stars, suggesting limited testing or support", "Lack of documentation or examples beyond the repository", "Unclear if the toolkit is production-ready or actively maintained" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-05", "addedAt": "2026-06-01", "officialLink": "https://github.com/XJTLUmedia/AI-HR-Management-Toolkit", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "skill-seekers-skill-seekers" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/xjtlumedia-ai-hr-management-toolkit" }, { "slug": "xmpuspus-cloudwright", "name": "xmpuspus/cloudwright", "vendor": "Various", "tagline": "AI-powered cloud architecture - describe infrastructure in natural language, get Terraform, cost estimates, and compliance reports", "description": "Cloudwright is an open-source Python tool that translates natural language infrastructure descriptions into Terraform code. It also generates cost estimates and compliance reports from the same input.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring rapid prototyping of cloud infrastructure with Terraform", "useCases": [ "Generate Terraform configurations from plain English prompts", "Get quick cost estimates for proposed cloud architectures", "Produce compliance reports for infrastructure designs" ], "pros": [ "Reduces time spent writing Terraform from scratch", "Combines cost and compliance checks in one workflow", "Open source with a permissive license" ], "cons": [ "Very small community (30 GitHub stars) limits support and reliability", "May produce incorrect or incomplete Terraform for complex architectures", "Dependent on natural language clarity; ambiguous prompts yield poor results" ], "tags": [ "ai", "aws", "azure", "cli", "cloud-architecture", "cloud-design", "cost-estimation", "devops" ], "featured": false, "tier": "curated", "stars": 30, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/xmpuspus/cloudwright", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/xmpuspus-cloudwright" }, { "slug": "xmpuspus-ph-civic-data-mcp", "name": "xmpuspus/ph-civic-data-mcp", "vendor": "Various", "tagline": "The first multi-source MCP server for Philippine civic data: earthquakes, weather, typhoons, procurement, population, poverty", "description": "An open-source MCP server that aggregates multiple Philippine civic data sources into a single interface. It provides access to datasets on earthquakes, weather, typhoons, procurement, population, and poverty via the Model Context Protocol. Written in Python, it aims to simplify querying diverse government and public data for developers.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building civic or data-driven applications focused on the Philippines", "useCases": [ "Query recent earthquake events and magnitudes", "Retrieve current weather and typhoon warnings", "Access procurement records and population statistics" ], "pros": [ "Unifies multiple civic datasets under one protocol", "Open source and Python-based, easy to extend", "Covers a broad range of Philippine public data" ], "cons": [ "Low star count suggests limited community validation", "Data freshness and reliability depend on upstream sources", "Documentation and examples may be sparse" ], "tags": [ "civic-tech", "claude", "mcp", "model-context-protocol", "open-data", "pagasa", "philgeps", "philippines" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/xmpuspus/ph-civic-data-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/xmpuspus-ph-civic-data-mcp" }, { "slug": "xpaysh-awesome-x402", "name": "xpaysh/awesome-x402", "vendor": "Various", "tagline": "🚀 Curated list of x402 resources: HTTP 402 Payment Required protocol for blockchain payments, crypto micropayments, AI agents, API monetization. Includes SDKs (TypeScript, Python,", "description": "A curated list of resources for the HTTP 402 Payment Required protocol, including SDKs (TypeScript, Python, Rust), examples, and integrations with platforms like Coinbase and Cloudflare. It aggregates tools and tutorials for implementing blockchain payments, crypto micropayments, and AI agent monetization.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring HTTP 402 for API monetization or machine-to-machine crypto payments", "useCases": [ "Setting up crypto micropayments for APIs or digital content", "Integrating x402 payment flows into AI agents or MCP servers", "Evaluating SDKs and facilitator services for USDC acceptance" ], "pros": [ "Comprehensive collection of x402-related SDKs, examples, and facilitator references", "Includes practical tutorials and MCP integration resources", "Active repository with community contributions (228 stars)" ], "cons": [ "An index, not a ready-to-deploy solution; requires additional implementation", "Limited to the x402 protocol ecosystem, which is still emerging", "Dependent on third-party facilitators (Coinbase, Cloudflare) for full functionality" ], "tags": [ "agentic-economy", "agentic-payment", "ai-payments", "awesome", "awesome-list", "http-402", "mcp", "micropayments" ], "featured": false, "tier": "curated", "stars": 228, "language": [], "license": "CC0-1.0", "lastUpdated": "2026-05-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/xpaysh/awesome-x402", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/xpaysh-awesome-x402" }, { "slug": "xquik-dev-x-twitter-scraper", "name": "Xquik-dev/x-twitter-scraper", "vendor": "Various", "tagline": "Twitter scraper API skill for tweet search, advanced Twitter search, profile tweets, follower export, media download, monitors, webhooks, MCP, and posting automation: send tweets a", "description": "Xquik-dev/x-twitter-scraper is a JavaScript-based Twitter scraper API skill that enables tweet search, advanced search, profile tweet extraction, follower export, media download, and monitoring with webhooks and MCP support. It also includes posting automation for sending tweets and replies.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a versatile Twitter scraper and automation tool in JavaScript", "useCases": [ "Extract tweets and profile data for analysis or archiving", "Monitor Twitter accounts or keywords with webhook alerts", "Automate tweet posting and reply workflows" ], "pros": [ "Covers a wide range of scraping and posting features in one tool", "Supports webhooks and MCP for integration into larger pipelines", "Actively maintained with 103 GitHub stars" ], "cons": [ "Relies on unofficial scraping methods that may break with Twitter changes", "JavaScript-only, limiting use in non-JS environments", "No built-in rate limiting or proxy rotation for large-scale scraping" ], "tags": [ "advanced-search", "agent-skill", "ai-agent", "data-extraction", "follower-export", "mcp", "mcp-server", "profile-tweets" ], "featured": false, "tier": "curated", "stars": 103, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/Xquik-dev/x-twitter-scraper", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/xquik-dev-x-twitter-scraper" }, { "slug": "xuanwo-mcp-server-opendal", "name": "Xuanwo/mcp-server-opendal", "vendor": "Various", "tagline": "Model Context Protocol Server for Apache OpenDAL™", "description": "A Model Context Protocol server that exposes Apache OpenDAL's unified storage API to AI agents. It lets LLMs read, write, and list files across dozens of backends (S3, GCS, local, etc.) through a single MCP interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need simple file access across multiple storage systems", "useCases": [ "Give an LLM agent access to cloud object storage without per-backend code", "Let an AI assistant browse and retrieve files from multiple storage providers", "Enable file-based data pipelines where the LLM triggers reads or writes" ], "pros": [ "Unified interface for many storage backends reduces integration effort", "Lightweight Python server with low overhead for MCP workflows", "Actively maintained by the OpenDAL project community" ], "cons": [ "Relies on OpenDAL's backend support, which may lag behind provider APIs", "Limited to file-level operations, no streaming or advanced querying", "Small user base (34 stars) means less community support and fewer examples" ], "tags": [], "featured": false, "tier": "curated", "stars": 34, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2025-04-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/Xuanwo/mcp-server-opendal", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/xuanwo-mcp-server-opendal" }, { "slug": "xspadex-bilibili-mcp", "name": "xspadex/bilibili-mcp", "vendor": "Various", "tagline": "📇 🏠 - A FastMCP-based tool that fetches Bilibili's trending videos and exposes them via a standard MCP interface.", "description": "A Python-based interface for retrieving Bilibili's trending videos through the Model Context Protocol. It uses the FastMCP framework to expose trending data as resources and tools that MCP clients can consume.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based tools or assistants that need quick access to Bilibili trending content", "useCases": [ "Fetch current trending Bilibili videos programmatically for analysis or display", "Integrate Bilibili trending data into MCP-compatible AI assistants and chat interfaces", "Build lightweight monitoring or dashboard tools for Bilibili video trends" ], "pros": [ "Leverages standard MCP protocol for easy integration with compatible clients", "Lightweight Python implementation with minimal dependencies", "Straightforward access to Bilibili's public trending data" ], "cons": [ "Limited to trending videos only, no search or user-specific features", "Depends on Bilibili's public API which may change without notice", "Small community and limited documentation (14 stars)" ], "tags": [], "featured": false, "tier": "curated", "stars": 14, "language": [ "Python" ], "lastUpdated": "2025-04-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/xspadex/bilibili-mcp.git", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/xspadex-bilibili-mcp" }, { "slug": "xweaponx7-rundida-mcp", "name": "XWeaponX7/rundida-mcp", "vendor": "Various", "tagline": "MCP server for RunDida — marathon data, pace calculations, heart rate zones for AI agents", "description": "An MCP server that exposes RunDida marathon data, pace calculations, and heart rate zones to AI agents. It is written in JavaScript and provides structured endpoints for agents to query running metrics.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need structured marathon training metrics from RunDida", "useCases": [ "Integrating marathon pace and heart rate data into AI coaching agents", "Building automated training plan generators that pull real-time RunDida metrics", "Enabling AI assistants to answer runner questions about pace zones and effort levels" ], "pros": [ "Directly connects AI agents to specialized marathon data via the MCP protocol", "Provides concrete pace and heart rate zone calculations, not just raw data", "Lightweight JavaScript implementation easy to extend or embed" ], "cons": [ "Zero stars and no community adoption indicates early-stage or unproven reliability", "Limited to RunDida data source; no support for other running platforms", "No documentation or usage examples provided beyond the repository description" ], "tags": [ "marathon", "mcp", "model-context-protocol", "running", "running-calculator" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/XWeaponX7/rundida-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/xweaponx7-rundida-mcp" }, { "slug": "xxczaki-local-history-mcp", "name": "xxczaki/local-history-mcp", "vendor": "Various", "tagline": "📇 🏠 🍎 🪟 🐧 - MCP server for accessing VS Code/Cursor Local History", "description": "An MCP server that provides programmatic access to the local history feature in VS Code and Cursor. It exposes saved file versions through the Model Context Protocol, enabling AI assistants and other MCP clients to retrieve and restore previous edits.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using VS Code or Cursor who want to query local history programmatically via MCP", "useCases": [ "Query previous file versions from VS Code or Cursor local history", "Restore accidentally overwritten code via an MCP client", "Integrate local history retrieval into AI-assisted development workflows" ], "pros": [ "Works across Windows, macOS, and Linux", "Leverages existing local history without extra setup", "Simple MCP interface for easy integration with compatible clients" ], "cons": [ "Only supports VS Code and Cursor local history format", "Requires an MCP client to interact with the server", "May not expose all metadata or features of the native history viewer" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/xxczaki/local-history/mcp", "relations": { "works_in": [ "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/xxczaki-local-history-mcp" }, { "slug": "xzq-xu-jvm-mcp-server", "name": "xzq.xu/jvm-mcp-server", "vendor": "Various", "tagline": "This is an implementation project of a JVM-based MCP (Model Context Protocol) server. The project aims to provide a standardized MCP server implementation for the JVM platform, ena", "description": "A Python implementation of a Model Context Protocol (MCP) server for the JVM platform. It enables AI models to interact with Java applications and libraries through a standardized protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI integrations with Java ecosystems", "useCases": [ "Integrating AI assistants with Java-based services", "Exposing JVM application capabilities to AI models via MCP", "Building AI tooling that can invoke Java methods and access JVM data" ], "pros": [ "Provides a standardized interface for AI-JVM interaction", "Open source with 85 stars indicating community interest", "Written in Python, making it accessible to a wide developer base" ], "cons": [ "Relatively new project with limited adoption", "Requires understanding of both MCP and JVM internals", "Python implementation may introduce overhead for JVM-specific tasks" ], "tags": [], "featured": false, "tier": "curated", "stars": 85, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/xzq-xu/jvm-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "awslabs-mcp", "fastmcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/xzq-xu-jvm-mcp-server" }, { "slug": "yakuphanycl-instinct", "name": "yakuphanycl/instinct", "vendor": "Various", "tagline": "Self-learning memory for AI coding agents — MCP server", "description": "Instinct is an MCP server that provides self-learning memory for AI coding agents. It allows agents to retain context and improve their responses over time by learning from interactions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with memory-enhanced AI coding agents in MCP environments", "useCases": [ "Give AI coding agents persistent memory across sessions", "Enable agents to adapt and refine their behavior based on past interactions", "Integrate self-learning memory into MCP-compatible development workflows" ], "pros": [ "Self-learning capability reduces need for manual context injection", "Built as an MCP server for easy integration with compatible tools", "Written in Python, making it accessible to a wide developer audience" ], "cons": [ "Very early stage with only 2 GitHub stars and limited community adoption", "Lack of extensive documentation or real-world usage examples", "Dependency on MCP ecosystem may limit standalone usefulness" ], "tags": [ "ai-memory", "anthropic", "claude-code", "llm-tools", "mcp", "mcp-server", "memory-management", "self-learning" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/yakuphanycl/instinct", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "idosal-git-mcp", "vectorize-io-hindsight" ], "alternative_to": [ "upstash-context7" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/yakuphanycl-instinct" }, { "slug": "yamanoku-baseline-mcp-server", "name": "yamanoku/baseline-mcp-server", "vendor": "Various", "tagline": "特定のWeb APIに関するBaselineの状況を提供するModel Context Protocolサーバー", "description": "A Model Context Protocol server that reports the baseline status of specific web APIs. It queries and returns compatibility data for web platform features, helping developers track when APIs become baseline available.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Web developers who want AI assistants to verify baseline API compatibility during development", "useCases": [ "Check if a web API is baseline available before using it in production", "Integrate baseline status checks into an AI coding assistant workflow", "Automate compatibility validation during code review or build processes" ], "pros": [ "Provides clear, standardized baseline status for web APIs", "Lightweight TypeScript implementation with low overhead", "Integrates easily with MCP-compatible tools and assistants" ], "cons": [ "Limited to web API baseline data only, not broader browser support", "Small community and infrequent updates (36 stars)", "Requires MCP-compatible client to use effectively" ], "tags": [ "baseline", "deno", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 36, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/yamanoku/baseline-mcp-server", "relations": { "works_in": [ "cursor", "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/yamanoku-baseline-mcp-server" }, { "slug": "yamariki-hub-japan-corporate-mcp", "name": "yamariki-hub/japan-corporate-mcp", "vendor": "Various", "tagline": "MCP Server for Japanese corporate data - gBizINFO, EDINET, e-Stat", "description": "An MCP (Model Context Protocol) server that provides access to Japanese corporate data from the official government sources gBizINFO, EDINET, and e-Stat. It exposes these datasets through a standardized interface for use in AI assistants and developer tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI tools that need programmatic access to official Japanese corporate and financial data", "useCases": [ "Retrieve Japanese company registration data via gBizINFO in an AI chatbot", "Query EDINET financial documents for analysis within a development workflow", "Integrate e-Stat statistical data into a Python-based agent or application" ], "pros": [ "Centralizes access to multiple authoritative Japanese government data sources", "Uses the MCP standard, making it easy to plug into compliant AI assistants", "Written in Python, straightforward to extend or modify" ], "cons": [ "Zero stars on GitHub indicates minimal community adoption or testing", "Limited to Japanese corporate and statistical data only", "Requires understanding of MCP and the specific data source APIs" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-02-22", "addedAt": "2026-06-01", "officialLink": "https://github.com/yamariki-hub/japan-corporate-mcp", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/yamariki-hub-japan-corporate-mcp" }, { "slug": "yang1bai-claw-tsaver", "name": "Yang1Bai/claw-tsaver", "vendor": "Various", "tagline": "A token-saving MCP proxy for OpenClaw users. Cuts tool call payloads by 90%+ via lazy expansion.", "description": "A token-saving MCP proxy for OpenClaw users. It reduces tool call payloads by 90% or more through lazy expansion.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using OpenClaw who want to cut token costs on tool calls", "useCases": [ "Minimize token usage when making repeated tool calls to OpenClaw", "Optimize MCP proxy configurations for cost-sensitive deployments", "Reduce payload size in high-frequency tool invocation workflows" ], "pros": [ "Significant token reduction (90%+) for tool call payloads", "Lightweight Python implementation with minimal dependencies", "Directly addresses a common cost pain point for OpenClaw users" ], "cons": [ "Limited to OpenClaw ecosystem, not a general-purpose proxy", "No stars or community validation yet", "Requires understanding of MCP and lazy expansion concepts" ], "tags": [ "mcp", "openai", "python", "token-optimization" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/Yang1Bai/claw-tsaver", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/yang1bai-claw-tsaver" }, { "slug": "yangkyeongmo-mcp-server-apache-airflow", "name": "yangkyeongmo@/mcp-server-apache-airflow", "vendor": "Various", "tagline": "🐍 🏠 - MCP server that connects to [Apache Airflow](https://airflow.apache.org/) using official client.", "description": "An MCP server that connects to Apache Airflow using its official Python client. It exposes Airflow operations as MCP tools, enabling AI agents to interact with Airflow instances programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to control Apache Airflow through MCP-compatible AI agents", "useCases": [ "Trigger and monitor DAG runs from an AI assistant", "List and inspect Airflow DAGs and task instances", "Pause or unpause DAGs via natural language commands" ], "pros": [ "Leverages the official Airflow client for reliable connectivity", "Simple setup for developers already using MCP", "Open source with 166 GitHub stars indicating community interest" ], "cons": [ "Requires a running Airflow instance with network access", "Limited to operations exposed by the Airflow client API", "Python-only, may not fit non-Python MCP environments" ], "tags": [], "featured": false, "tier": "curated", "stars": 166, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-03", "addedAt": "2026-06-01", "officialLink": "https://github.com/yangkyeongmo/mcp-server-apache-airflow", "relations": { "works_in": [ "claude-code", "continue", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/yangkyeongmo-mcp-server-apache-airflow" }, { "slug": "yangliangwei-personalizationmcp", "name": "YangLiangwei/PersonalizationMCP", "vendor": "Various", "tagline": "🎯 A unified personal data hub built on MCP that allows AI assistants to access your digital life from Steam, YouTube, Bilibili and more platforms for truly personalized interactio", "description": "A unified personal data hub built on the Model Context Protocol (MCP) that enables AI assistants to access user data from platforms like Steam, YouTube, and Bilibili. It aggregates personal digital life into a single MCP server, allowing assistants to retrieve context for personalized interactions. The tool is written in Python and is open source.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building personalized AI assistants that need access to a user's digital footprint across multiple services", "useCases": [ "Connect an AI assistant to a user's Steam game library for personalized recommendations", "Provide an AI assistant with YouTube watch history to tailor content suggestions", "Expose Bilibili favorites and subscriptions to an AI for context-aware responses" ], "pros": [ "Unifies multiple platform data sources into one MCP server for easy integration", "Open source with a clear focus on personalization and user control", "Leverages the MCP standard, making it compatible with many AI assistants" ], "cons": [ "Relies on third-party platform APIs which may change or require authentication", "Limited to the platforms currently supported (Steam, YouTube, Bilibili, etc.)", "Requires manual setup and configuration to connect each user's accounts" ], "tags": [], "featured": false, "tier": "curated", "stars": 54, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/YangLiangwei/PersonalizationMCP", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mediar-ai-screenpipe", "agent-infra-mcp-server-browser", "elie222-inbox-zero" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/yangliangwei-personalizationmcp" }, { "slug": "yanmxa-scriptflow-mcp", "name": "yanmxa/scriptflow-mcp", "vendor": "Various", "tagline": "Script workflow management via MCP. Converts AI workflows to persistent scripts, reducing tokens & delays while minimizing hallucination risks.", "description": "Scriptflow MCP is a TypeScript tool that manages script workflows through the Model Context Protocol. It converts AI-driven workflows into persistent scripts, which reduces token usage and delays while lowering the risk of hallucination.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building script-based AI workflows who want to reduce costs and improve reliability", "useCases": [ "Convert repetitive AI workflows into reusable scripts", "Reduce token consumption and latency in AI interactions", "Minimize hallucination risks by persisting deterministic steps" ], "pros": [ "Reduces token usage and delays by converting workflows to scripts", "Lowers hallucination risk through persistent, deterministic execution", "Lightweight TypeScript implementation with MCP integration" ], "cons": [ "Very low community adoption with only 7 GitHub stars", "Limited documentation and support due to niche status", "Requires MCP-compatible environment to function" ], "tags": [ "agentic-workflows", "ai-optimization", "mcp", "script-management", "token-reduction", "workflow-automation" ], "featured": false, "tier": "curated", "stars": 7, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-08-06", "addedAt": "2026-06-01", "officialLink": "https://github.com/yanmxa/scriptflow-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "eyaltoledano-claude-task-master", "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/yanmxa-scriptflow-mcp" }, { "slug": "yannbrrd-simple-snowflake-mcp", "name": "yannbrrd/simple_snowflake_mcp", "vendor": "Various", "tagline": "🐍 ☁️ - Simple Snowflake MCP server that works behind a corporate proxy. Read and write (optional) operations", "description": "A lightweight Python-based MCP server for Snowflake that operates behind corporate proxies. It supports both read and optional write operations, enabling AI agents and tools to interact with Snowflake databases through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a simple, proxy-compatible Snowflake MCP server for basic read/write interactions", "useCases": [ "Connect AI assistants to Snowflake databases for read queries", "Enable write operations from agent workflows", "Deploy a Snowflake MCP server in restricted network environments with proxy support" ], "pros": [ "Works behind corporate proxies without configuration hacks", "Lightweight Python implementation easy to deploy and modify", "Supports both read and write operations when enabled" ], "cons": [ "Low community adoption (7 stars) suggests limited testing and support", "May lack advanced features like connection pooling or query optimization", "Minimal documentation beyond the GitHub description" ], "tags": [], "featured": false, "tier": "curated", "stars": 7, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-04-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/YannBrrd/simple_snowflake_mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/yannbrrd-simple-snowflake-mcp" }, { "slug": "yashshingvi-databricks-genie-mcp", "name": "yashshingvi/databricks-genie-MCP", "vendor": "Various", "tagline": "🐍 ☁️ - A server that connects to the Databricks Genie API, allowing LLMs to ask natural language questions, run SQL queries, and interact with Databricks conversational agents.", "description": "A Python server that connects to the Databricks Genie API, enabling LLMs to query data using natural language, run SQL queries, and interact with Databricks conversational agents. It implements the Model Context Protocol (MCP) to bridge AI models with Databricks analytics.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building LLM-powered tools for querying and analyzing Databricks data", "useCases": [ "Querying Databricks data with natural language via an LLM", "Building AI-driven data analysis assistants for Databricks", "Integrating conversational agents with Databricks Genie spaces" ], "pros": [ "Direct natural language access to Databricks data without writing SQL", "Leverages the existing Databricks Genie API and MCP standard", "Python-based, easy to extend or deploy as a server" ], "cons": [ "Low community adoption (16 stars) may mean limited support or documentation", "Requires access to Databricks Genie API, which is not universally available", "Niche use case focused solely on Databricks conversational agents" ], "tags": [], "featured": false, "tier": "curated", "stars": 16, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-04-18", "addedAt": "2026-06-01", "officialLink": "https://github.com/yashshingvi/databricks-genie-MCP", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/yashshingvi-databricks-genie-mcp" }, { "slug": "ybouhjira-claude-code-tts", "name": "ybouhjira/claude-code-tts", "vendor": "Various", "tagline": "🔊 Text-to-Speech MCP plugin for Claude Code - hear audio feedback while coding (OpenAI TTS)", "description": "A Go-based MCP plugin that adds text-to-speech audio feedback to Claude Code using OpenAI's TTS API. It reads code-related output aloud so developers can listen while coding.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude Code who want auditory feedback for accessibility or multitasking", "useCases": [ "Hearing code review comments or error messages spoken aloud", "Monitoring long-running builds or tests without staring at the terminal", "Getting auditory feedback during pair programming or accessibility needs" ], "pros": [ "Simple MCP integration with Claude Code", "Lightweight Go implementation with minimal dependencies", "Useful for accessibility or hands-free workflows" ], "cons": [ "Requires an OpenAI API key and incurs TTS usage costs", "Limited to OpenAI TTS voices and languages", "Small community and limited documentation (16 stars)" ], "tags": [ "audio", "claude", "claude-code", "mcp", "openai", "plugin", "text-to-speech", "tts" ], "featured": false, "tier": "curated", "stars": 16, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-01-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/ybouhjira/claude-code-tts", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ybouhjira-claude-code-tts" }, { "slug": "ycloud-developers-ycloud-whatsapp-mcp-server", "name": "YCloud-Developers/ycloud-whatsapp-mcp-server", "vendor": "Various", "tagline": "📇 🏠 - MCP server for WhatsApp Business Platform by YCloud.", "description": "An open-source Model Context Protocol (MCP) server that exposes WhatsApp Business Platform endpoints via the MCP standard. Built in TypeScript by YCloud Developers, it lets tools and AI agents send messages, manage templates, and handle conversations through a protocol-based interface. The repository has 11 stars.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agent integrations that need to send and receive WhatsApp Business messages via the Model Context Protocol.", "useCases": [ "Integrating WhatsApp Business messaging into MCP-compatible AI agents", "Sending WhatsApp message templates programmatically via a protocol", "Managing conversation flows with WhatsApp Business API through MCP" ], "pros": [ "Adheres to the standard MCP specification for easy interoperability", "Written in TypeScript with type safety for maintainability", "Open source with an permissive license for customization" ], "cons": [ "Low star count (11) suggests early-stage or limited community traction", "Requires a YCloud WhatsApp Business API account and credentials", "Documentation and examples are minimal beyond the repository description" ], "tags": [], "featured": false, "tier": "curated", "stars": 11, "language": [ "TypeScript" ], "lastUpdated": "2025-04-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/YCloud-Developers/ycloud-whatsapp-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "lharries-whatsapp-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ycloud-developers-ycloud-whatsapp-mcp-server" }, { "slug": "ycs77-apifable", "name": "ycs77/apifable", "vendor": "Various", "tagline": "MCP server that helps AI agents explore OpenAPI specs, search endpoints, and generate TypeScript types.", "description": "ycs77/apifable is an MCP server that enables AI agents to explore OpenAPI specifications, search for endpoints, and generate TypeScript types. It processes OpenAPI specs to provide structured access to API definitions and type generation.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to interact with and generate types from OpenAPI-defined APIs.", "useCases": [ "Exploring and searching OpenAPI endpoints programmatically", "Generating TypeScript types from OpenAPI specs", "Integrating API discovery into AI agent workflows" ], "pros": [ "Lightweight and focused on a specific developer need", "Generates TypeScript types directly from specs", "Works as an MCP server for easy integration with AI agents" ], "cons": [ "Limited to TypeScript type generation, not other languages", "Depends on the quality and completeness of the OpenAPI spec", "Small community with only 9 stars" ], "tags": [ "api", "claude-code", "mcp", "mcp-server", "openapi", "swagger", "typescript" ], "featured": false, "tier": "curated", "stars": 9, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/ycs77/apifable", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ycs77-apifable" }, { "slug": "ydb-ydb-mcp", "name": "ydb/ydb-mcp", "vendor": "Various", "tagline": "🎖️ 🐍 ☁️ - MCP server for interacting with [YDB](https://ydb.tech) databases", "description": "This is an MCP server that enables interaction with YDB databases. It provides a standardized interface for querying and managing YDB through the Model Context Protocol. Built in Python, it integrates with MCP-compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers already using YDB who want to manage databases via MCP-compatible interfaces", "useCases": [ "Executing YQL queries against YDB databases", "Managing database schemas and tables programmatically", "Integrating YDB data operations into MCP-enabled workflows" ], "pros": [ "Leverages the Model Context Protocol for standardized tool interactions", "Lightweight Python implementation easy to extend", "Directly supports YDB's native query language" ], "cons": [ "Limited to YDB ecosystems, not a general-purpose database tool", "Relatively low community adoption (26 stars on GitHub)", "Requires familiarity with both YDB and MCP concepts" ], "tags": [], "featured": false, "tier": "curated", "stars": 26, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-03-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/ydb-platform/ydb-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ydb-ydb-mcp" }, { "slug": "yeick010-agentshield-mcp", "name": "yeick010/agentshield-mcp", "vendor": "Various", "tagline": "yeick010/agentshield-mcp — indexed from awesome-mcp-servers-punkpeye", "description": "An MCP server named agentshield listed in the awesome-mcp-servers collection. It is categorized as a developer tool and is maintained by various contributors. The specific functionality is not detailed beyond the name and repository link.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring MCP servers for agent security", "useCases": [ "Implementing security measures for AI agents", "Integrating with MCP-compatible systems", "Referencing from the awesome-mcp-servers list" ], "pros": [ "Listed in a curated collection of MCP servers", "Open-source repository available", "Community-maintained" ], "cons": [ "Limited public documentation or details", "Functionality must be inferred from the name", "No official vendor backing" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/yeick010/agentshield-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/yeick010-agentshield-mcp" }, { "slug": "yikakia-godoc-mcp-server", "name": "yikakia/godoc-mcp-server", "vendor": "Various", "tagline": "A mcp server provide infomation from pkg.go.dev. For all golang programmers", "description": "This tool is a Model Context Protocol (MCP) server that fetches Go package documentation from pkg.go.dev. Written in Go, it exposes package information to MCP-compatible clients for use by Go programmers.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Go developers who use MCP-aware editors, assistants, or build tools and need quick access to package documentation.", "useCases": [ "Retrieve documentation for Go packages within an MCP-enabled editor or agent", "Look up function signatures and types without leaving the development environment", "Explore APIs of public Go packages via natural language or structured queries" ], "pros": [ "Simple integration with any MCP-compatible client or agent", "Written in Go, matching the ecosystem it serves", "Direct access to the canonical pkg.go.dev documentation source" ], "cons": [ "Relies on pkg.go.dev being available and up-to-date", "Limited to public Go packages; no coverage for private modules", "Small community (36 stars) may mean slower issue resolution" ], "tags": [ "go", "mcp", "mcp-server", "modelcontextprotocol" ], "featured": false, "tier": "curated", "stars": 36, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-03-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/yikakia/godoc-mcp-server", "relations": { "works_in": [ "continue", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/yikakia-godoc-mcp-server" }, { "slug": "yiwenlu66-piloty", "name": "yiwenlu66/PiloTY", "vendor": "Various", "tagline": "PiloTY: AI pilot for PTY operations via MCP - enables AI agents to control interactive terminals like a human", "description": "PiloTY is a Python tool that enables AI agents to control interactive terminals (PTYs) via the Model Context Protocol (MCP). It allows agents to send commands, read outputs, and interact with terminal applications as a human would.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-driven automation for complex terminal environments", "useCases": [ "Automating multi-step command-line workflows with AI agents", "Integrating AI assistants into server management or DevOps pipelines", "Testing interactive terminal applications programmatically" ], "pros": [ "Leverages MCP for standardized agent-terminal communication", "Lightweight Python implementation easy to integrate", "Open source with permissive license" ], "cons": [ "Low community adoption (38 stars) limits support and plugins", "Relatively new project may have undiscovered edge cases", "Requires careful configuration for nonstandard terminal interactions" ], "tags": [ "ai-agent", "automation", "cli", "interactive", "mcp", "pty", "python", "shell" ], "featured": false, "tier": "curated", "stars": 38, "language": [ "Python" ], "lastUpdated": "2026-04-23", "addedAt": "2026-06-01", "officialLink": "https://github.com/yiwenlu66/PiloTY", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/yiwenlu66-piloty" }, { "slug": "yjcho9317-nworks", "name": "yjcho9317/nworks", "vendor": "Various", "tagline": "Full-featured MCP server and CLI for LINE WORKS (NAVER WORKS) — 26 tools covering messages, calendar, drive, mail, tasks, and boards. Automate with AI agents or scripts.", "description": "A full-featured MCP server and CLI for LINE WORKS (NAVER WORKS). It provides 26 tools covering messages, calendar, drive, mail, tasks, and boards. Developers can automate workflows with AI agents or scripts through the MCP protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers integrating LINE WORKS into AI-driven automation workflows", "useCases": [ "Automate message sending in LINE WORKS from AI agents", "Manage calendar events programmatically via MCP", "Sync tasks and boards with external tools" ], "pros": [ "Covers 26 distinct LINE WORKS APIs for broad automation", "Supports both MCP for AI agents and CLI for scripts", "Written in TypeScript with a clear structure" ], "cons": [ "Low adoption (11 stars) may indicate limited community or support", "Restricted to LINE WORKS ecosystem, not a general-purpose tool", "Requires a separate MCP host to run with AI agents" ], "tags": [ "agent-tools", "ai-agent", "automation", "claude", "cli", "cursor", "korean", "line-works" ], "featured": false, "tier": "curated", "stars": 11, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-04-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/yjcho9317/nworks", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/yjcho9317-nworks" }, { "slug": "yepcode-mcp-server-js", "name": "yepcode/mcp-server-js", "vendor": "Various", "tagline": "MCP server that exposes YepCode processes as callable tools for AI platforms. Securely connect AI assistants to your YepCode workflows, APIs, and automations.", "description": "An MCP server that exposes YepCode processes as callable tools for AI platforms. It uses the Model Context Protocol to let AI assistants securely trigger YepCode workflows, APIs, and automations. Written in TypeScript, it serves as a bridge between AI agents and YepCode's automation engine.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using YepCode who want to let AI assistants trigger their workflows and automations", "useCases": [ "Connecting AI assistants to YepCode automations", "Exposing YepCode workflows as callable tools for LLMs", "Securing AI-triggered execution of YepCode APIs and jobs" ], "pros": [ "Lightweight TypeScript implementation adhering to the MCP standard", "Enables secure, controlled access to YepCode workflows from AI platforms", "Simple integration for developers already using YepCode" ], "cons": [ "Small community and limited adoption (43 stars on GitHub)", "Tied exclusively to the YepCode ecosystem, not general-purpose", "No evidence of extensive documentation or frequent updates" ], "tags": [ "agent", "ai", "ai-agent", "ai-agents", "mcp", "mcp-server", "mcp-tool", "mcp-tools" ], "featured": false, "tier": "curated", "stars": 43, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/yepcode/mcp-server-js", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "pipedreamhq-pipedream" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/yepcode-mcp-server-js" }, { "slug": "yli769227-jpg-ashare-mcp", "name": "yli769227-jpg/ashare-mcp", "vendor": "Various", "tagline": "MCP server for Chinese A-share financial statements. 把 A 股财报变成 LLM 可调的工具。", "description": "An MCP server that exposes Chinese A-share financial statements as tools for large language models. It translates financial report data into a format LLMs can query through the Model Context Protocol. Built in Python, it serves as a bridge between AI agents and Chinese stock market financial data.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to connect LLMs to Chinese A-share financial reports.", "useCases": [ "Querying financial statements from Chinese A-share listed companies", "Integrating Chinese equity data into LLM-based analysis pipelines", "Automating retrieval of balance sheets, income statements, and cash flows" ], "pros": [ "Free and open source with a straightforward Python implementation", "Provides direct LLM access to structured Chinese financial data", "Low barrier to entry for developers familiar with MCP" ], "cons": [ "Very early stage with only 2 stars and limited community adoption", "Restricted to Chinese A-share market, no global coverage", "Requires an MCP-compatible client to function" ], "tags": [ "a-share", "agent", "akshare", "anthropic", "finance", "financial-analysis", "llm", "mcp" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/yli769227-jpg/ashare-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb", "haris-musa-excel-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/yli769227-jpg-ashare-mcp" }, { "slug": "ymw0407-auth-fetch-mcp", "name": "ymw0407/auth-fetch-mcp", "vendor": "Various", "tagline": "MCP server that lets AI assistants fetch content from authenticated web pages.", "description": "An MCP server that enables AI assistants to fetch content from web pages requiring authentication. It handles authentication mechanisms to allow access to protected content for use by compatible AI tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need to access authenticated web content", "useCases": [ "Fetching authenticated web pages for AI assistant context", "Integrating private web content into MCP-based workflows", "Enabling AI assistants to access gated or login-required resources" ], "pros": [ "Straightforward TypeScript implementation", "Open source with a clear purpose", "Fills a specific need for authenticated fetching in MCP" ], "cons": [ "Small community (29 stars) may mean limited support", "Requires MCP-compatible AI assistants to function", "Authentication setup may need manual configuration per site" ], "tags": [ "claude", "llm", "mcp", "playwright", "web-scrapper" ], "featured": false, "tier": "curated", "stars": 29, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/ymw0407/auth-fetch-mcp", "relations": { "works_in": [ "anthropic-computer-use", "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser", "browsermcp-mcp", "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ymw0407-auth-fetch-mcp" }, { "slug": "yincongcyincong-victoriametrics-mcp-server", "name": "yincongcyincong/VictoriaMetrics-mcp-server", "vendor": "Various", "tagline": "MCP Server for the VictoriaMetrics.", "description": "This JavaScript server implements the Model Context Protocol to expose VictoriaMetrics time series data to AI agents. It allows tools like Claude to query metrics using natural language or structured requests.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to connect VictoriaMetrics to AI assistants via the Model Context Protocol", "useCases": [ "Query VictoriaMetrics metrics through AI chat interfaces", "Integrate monitoring data into AI-driven workflows and automation", "Enable natural language access to time series data for non-technical users" ], "pros": [ "Lightweight JavaScript implementation with low overhead", "Connects VictoriaMetrics directly to MCP-compatible AI assistants", "Simple setup for developers already using VictoriaMetrics" ], "cons": [ "Very low community adoption with only 7 GitHub stars", "Limited documentation and examples beyond basic setup", "May lack advanced features found in more established integrations" ], "tags": [ "mcp", "mcp-server", "metrics", "victoriametrics" ], "featured": false, "tier": "curated", "stars": 7, "language": [ "JavaScript" ], "lastUpdated": "2025-11-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/yincongcyincong/VictoriaMetrics-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "netdata-netdata-netdata" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/yincongcyincong-victoriametrics-mcp-server" }, { "slug": "yoelbassin-gnuradiomcp", "name": "yoelbassin/gnuradioMCP", "vendor": "Various", "tagline": "MCP server for GNU Radio", "description": "An MCP server that exposes GNU Radio flowgraph operations as tools for AI agents. It allows an LLM to create, modify, and inspect GNU Radio signal processing graphs programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-assisted signal processing or radio communication tools", "useCases": [ "Automating GNU Radio flowgraph generation from natural language prompts", "Integrating signal processing design into AI-assisted development workflows", "Enabling LLMs to debug or optimize existing GNU Radio flowgraphs" ], "pros": [ "Bridges AI agents with a specialized signal processing tool", "Simple Python implementation with clear MCP protocol", "Small but active community with 42 stars" ], "cons": [ "Limited to GNU Radio's ecosystem and requires GNU Radio installed", "Early-stage project with few documented use cases", "Dependent on MCP client support for full functionality" ], "tags": [], "featured": false, "tier": "curated", "stars": 42, "language": [ "Python" ], "license": "GPL-3.0", "lastUpdated": "2026-05-31", "addedAt": "2026-06-01", "officialLink": "https://github.com/yoelbassin/gnuradioMCP", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/yoelbassin-gnuradiomcp" }, { "slug": "yoryocoruxo-ai-rendoc-mcp-server", "name": "yoryocoruxo-ai/rendoc-mcp-server", "vendor": "Various", "tagline": "Official MCP server for rendoc - Generate professional PDFs (invoices, contracts, reports, certificates) from Claude, Cursor, and other AI tools via reusable templates or inline HT", "description": "An MCP server that enables AI tools like Claude and Cursor to generate professional PDFs. It supports reusable templates and inline HTML or Handlebars markup for creating invoices, contracts, reports, and certificates.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-powered workflows that need to generate PDF documents", "useCases": [ "Generate invoices from chat conversations", "Create contracts directly within Cursor", "Produce formatted reports from AI assistant outputs" ], "pros": [ "Integrates with popular AI tools via the MCP protocol", "Supports both reusable templates and inline markup for flexibility", "Produces professional-grade PDF output" ], "cons": [ "No stars or community adoption yet, indicating early stage", "Requires an MCP-compatible client to function", "Documentation and examples may be limited" ], "tags": [ "ai-tools", "claude", "claude-desktop", "cursor", "llm-tools", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-04-14", "addedAt": "2026-06-01", "officialLink": "https://github.com/yoryocoruxo-ai/rendoc-mcp-server", "relations": { "works_in": [ "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/yoryocoruxo-ai-rendoc-mcp-server" }, { "slug": "youichi-uda-godot-mcp-pro", "name": "youichi-uda/godot-mcp-pro", "vendor": "Various", "tagline": "162 MCP tools for AI-powered Godot 4 development. Scene, animation, 3D, physics, particles, audio, shader, input simulation, runtime analysis, navigation, testing & more. $15 one-t", "description": "A paid MCP server providing 162 tools for Godot 4 development, covering scene editing, animation, 3D, physics, particles, audio, shaders, input simulation, runtime analysis, navigation, and testing. It integrates with AI assistants via the Model Context Protocol to automate engine tasks.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Godot 4 developers who want to accelerate workflows using AI-assisted automation", "useCases": [ "Automate scene creation and manipulation in Godot 4", "Simulate player input for testing gameplay mechanics", "Run runtime analysis and debug physics or navigation" ], "pros": [ "Broad tool coverage across many engine subsystems", "One-time payment with no subscription required", "Actively maintained with 398 GitHub stars" ], "cons": [ "Requires Godot 4 and MCP-compatible AI client", "Paid tool with no free tier or trial mentioned", "Limited to GDScript; no C# or other language support" ], "tags": [ "ai", "ai-tools", "claude", "cursor", "game-development", "gamedev", "gdscript", "godot" ], "featured": false, "tier": "curated", "stars": 398, "language": [ "GDScript" ], "lastUpdated": "2026-05-24", "addedAt": "2026-06-01", "officialLink": "https://github.com/youichi-uda/godot-mcp-pro", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "coding-solo-godot-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/youichi-uda-godot-mcp-pro" }, { "slug": "ypollak2-llm-router", "name": "ypollak2/llm-router", "vendor": "Various", "tagline": "Universal LLM router for AI coding tools. Works with Claude Code, Cursor, Codex, Gemini CLI, Copilot and more. Free-first fallback chain keeps costs 70–85% lower.", "description": "LLM Router is a Python-based tool that routes requests from AI coding assistants such as Claude Code, Cursor, and Copilot to different language models. It uses a free-first fallback chain that prioritizes cost-free options, reducing overall API costs by 70–85%.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using multiple AI coding assistants who want to minimize API costs.", "useCases": [ "Directing coding queries to the cheapest available LLM", "Fallback routing when the primary model is unavailable or rate-limited", "Unifying multiple AI coding tools under a single routing layer" ], "pros": [ "Significant cost reduction with free-first fallback chain", "Compatible with a wide range of popular AI coding tools", "Open source and easy to integrate into existing workflows" ], "cons": [ "Low GitHub star count indicates limited community adoption and testing", "Requires manual configuration of fallback chains and API keys", "Performance depends on the availability and speed of free LLM endpoints" ], "tags": [ "ai-routing", "anthropic", "claude", "claude-code", "cost-optimization", "gemini", "litellm", "llm" ], "featured": false, "tier": "curated", "stars": 27, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/ypollak2/llm-router", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [ "claude-code", "cursor" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ypollak2-llm-router" }, { "slug": "yshngg-pmcp", "name": "yshngg/pmcp", "vendor": "Various", "tagline": "A Prometheus Model Context Protocol Server.", "description": "A Prometheus Model Context Protocol server written in Go. It exposes Prometheus metric metadata through the Model Context Protocol for querying by compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing to expose Prometheus metric metadata via the Model Context Protocol", "useCases": [ "Expose Prometheus metric descriptions and labels via MCP", "Integrate Prometheus observability with MCP-based toolchains", "Query metric context from Prometheus instances over MCP" ], "pros": [ "Lightweight Go binary with low resource overhead", "Single-purpose implementation focused on Prometheus MCP", "Easy to containerize and deploy alongside Prometheus" ], "cons": [ "Very early stage with only 3 GitHub stars", "Limited documentation and community support", "Narrow protocol scope may limit integration options" ], "tags": [ "mcp", "prometheus" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "Go" ], "license": "Apache-2.0", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/yshngg/pmcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "netdata-netdata-netdata" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/yshngg-pmcp" }, { "slug": "yubinkim444-ai-first-scraper-mcp", "name": "yubinkim444/ai-first-scraper-mcp", "vendor": "Various", "tagline": "MCP server giving Claude Desktop / Cursor / Cline ad-free web scraping + search via three tools: fetchpage, fetchpagesbatch, searchweb.", "description": "An MCP server that provides Claude Desktop, Cursor, and Cline with ad-free web scraping and search capabilities through three tools: fetchpage, fetchpagesbatch, and searchweb. It is built in Python and designed for direct integration into AI-assisted development workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a lightweight, ad-free web scraping MCP server for use with Claude Desktop, Cursor, or Cline.", "useCases": [ "Extract clean page content for analysis or summarization", "Batch fetch multiple pages in a single operation", "Perform web searches without ads or clutter" ], "pros": [ "Simple, focused toolset with only three commands", "Ad-free output reduces noise for AI consumption", "Works with multiple popular AI coding assistants" ], "cons": [ "Very early-stage project with only 1 star and limited community", "No documentation beyond the basic description", "May break or lack features for complex scraping needs" ], "tags": [ "ai-agents", "claude", "claude-desktop", "cline", "cursor", "markdown", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/yubinkim444/ai-first-scraper-mcp", "relations": { "works_in": [ "cursor", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/yubinkim444-ai-first-scraper-mcp" }, { "slug": "yuchenssr-mindmap-mcp-server", "name": "YuChenSSR/mindmap-mcp-server", "vendor": "Various", "tagline": "mindmap, mcp server, artifact", "description": "A Python-based MCP server that generates mind maps as artifacts. It provides a model context protocol interface for creating visual mind maps, likely for integration with AI assistants or other MCP-compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI workflows that produce visual mind maps as artifacts", "useCases": [ "Generate mind maps from structured data via an MCP endpoint", "Integrate mind map creation into AI assistant workflows", "Produce visual artifacts for brainstorming or planning sessions" ], "pros": [ "Open source with a permissive license", "Lightweight Python implementation", "Simple MCP protocol for easy integration" ], "cons": [ "Limited documentation beyond the repo description", "Requires an MCP-compatible client to use", "Niche use case may not fit general development workflows" ], "tags": [ "artifact", "mcp-server", "mindmap" ], "featured": false, "tier": "curated", "stars": 233, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-05-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/YuChenSSR/mindmap-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [ "awslabs-mcp" ], "pairs_with": [ "antv-mcp-server-chart", "glips-figma-context-mcp", "mckinsey-vizro-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/yuchenssr-mindmap-mcp-server" }, { "slug": "yuliiakovalova-dotnet-template-mcp", "name": "YuliiaKovalova/dotnet-template-mcp", "vendor": "Various", "tagline": "MCP server wrapping the .NET Template Engine for AI-driven template discovery, inspection, and instantiation", "description": "MCP server that wraps the .NET Template Engine. It enables AI tools to discover, inspect, and instantiate .NET templates programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-assisted .NET scaffolding tools", "useCases": [ "Discover available .NET templates from an AI assistant", "Inspect template details like parameters and tags", "Instantiate new projects by sending template commands through MCP" ], "pros": [ "Tight integration with the .NET ecosystem", "Enables AI-driven project scaffolding without manual dotnet new commands", "Open source with C# codebase for easy customization" ], "cons": [ "Limited to .NET templates only", "Requires MCP-compatible AI client to function", "Relatively new project with small community (4 stars)" ], "tags": [ "ai", "copilot", "dotnet", "dotnet-new", "dotnet-tool", "mcp", "mcp-server", "template-engine" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "C#" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/YuliiaKovalova/dotnet-template-mcp", "relations": { "works_in": [ "anthropic-computer-use", "continue", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/yuliiakovalova-dotnet-template-mcp" }, { "slug": "yuchenssr-multi-ai-advisor", "name": "YuChenSSR/multi-ai-advisor", "vendor": "Various", "tagline": "council of models for decision", "description": "YuChenSSR/multi-ai-advisor is a TypeScript tool that implements a council of multiple AI models to generate consensus-based decisions. It sends a prompt to several models and aggregates their responses to produce a final recommendation.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with multi-model consensus for decision-making", "useCases": [ "Aggregating opinions from multiple language models", "Reducing single-model bias in decision tasks", "Building consensus-based answer generators" ], "pros": [ "Open source and lightweight TypeScript implementation", "Can improve reliability through ensemble voting", "Simple to integrate into existing workflows" ], "cons": [ "Requires API keys for multiple model providers", "May increase latency due to multiple model calls", "Limited documentation and community support due to small user base" ], "tags": [ "ai-communication", "llm-council", "ollama" ], "featured": false, "tier": "curated", "stars": 78, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-04-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/YuChenSSR/multi-ai-advisor-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "oraios-serena" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/yuchenssr-multi-ai-advisor" }, { "slug": "yuna0x0-anilist-mcp", "name": "yuna0x0/anilist-mcp", "vendor": "Various", "tagline": "AniList MCP server for accessing anime and manga data", "description": "yuna0x0/anilist-mcp is a Model Context Protocol server that wraps the AniList GraphQL API to provide anime and manga data to AI assistants. It returns details like titles, descriptions, scores, and character information via standard MCP tool calls.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants or chatbots that need access to anime and manga information from AniList", "useCases": [ "Enable an AI agent to answer questions about anime and manga from AniList", "Retrieve specific anime or manga metadata (synopsis, rating, genres) on demand", "Connect a Claude or other MCP-compatible assistant to a comprehensive anime database" ], "pros": [ "Straightforward setup following the MCP standard for developer tooling", "Written in TypeScript with clear typing, easy to extend or review", "Open source with 77 stars, indicating community use and basic reliability" ], "cons": [ "Limited to AniList data only; no other media sources are included", "Requires internet access and likely an AniList API key for production use", "MCP protocol is still emerging, so fewer client applications currently support it" ], "tags": [ "ai", "anilist", "anime", "api", "llm", "manga", "mcp", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 77, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-11-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/yuna0x0/anilist-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/yuna0x0-anilist-mcp" }, { "slug": "yuna0x0-hackmd-mcp", "name": "yuna0x0/hackmd-mcp", "vendor": "Various", "tagline": "A Model Context Protocol server for integrating HackMD's note-taking platform with AI assistants.", "description": "A Model Context Protocol server that connects HackMD's collaborative note-taking platform to AI assistants. It enables reading, creating, and managing HackMD notes through the MCP interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to connect AI assistants to HackMD for note management and retrieval.", "useCases": [ "Automating note creation and organization in HackMD from an AI assistant", "Retrieving and summarizing existing HackMD notes during a conversation", "Integrating HackMD as a knowledge base for AI-driven workflows" ], "pros": [ "Straightforward MCP implementation for HackMD integration", "Written in TypeScript with clear code structure", "Low barrier to entry for developers already using MCP" ], "cons": [ "Limited to HackMD's API capabilities and rate limits", "Small community with only 60 stars, less battle-tested", "Requires manual setup of API tokens and MCP configuration" ], "tags": [ "ai", "api", "hackmd", "llm", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 60, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-11-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/yuna0x0/hackmd-mcp", "relations": { "works_in": [ "claude-code", "cursor", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/yuna0x0-hackmd-mcp" }, { "slug": "yusong652-pfc-mcp", "name": "yusong652/pfc-mcp", "vendor": "Various", "tagline": "MCP server connecting AI agents to ITASCA PFC — run DEM simulations through natural conversation", "description": "An MCP server that connects AI agents to ITASCA PFC for running Discrete Element Method simulations through natural language. It enables agents to configure, execute, and retrieve simulation results via conversational interfaces using the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Researchers and engineers who want to interact with PFC simulations through conversational AI agents", "useCases": [ "Run PFC DEM simulations via natural language commands", "Iterate on simulation parameters through conversation with an AI agent", "Automate batch simulation workflows using AI-driven orchestration" ], "pros": [ "Lowers the barrier to using complex DEM simulations by enabling conversational control", "Integrates seamlessly with AI agent frameworks via the standard MCP protocol", "Open source with an active community and regular updates" ], "cons": [ "Requires existing familiarity with ITASCA PFC software and its setup", "Limited to simulations that support the MCP server integration", "May introduce latency for large-scale or high-frequency simulation tasks" ], "tags": [ "ai-agent", "claude", "claude-code", "codex", "dem", "discrete-element-method", "gemini-cli", "geomechanics" ], "featured": false, "tier": "curated", "stars": 63, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-01", "officialLink": "https://github.com/yusong652/pfc-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/yusong652-pfc-mcp" }, { "slug": "yusong652-yade-mcp", "name": "yusong652/yade-mcp", "vendor": "Various", "tagline": "MCP server connecting AI agents to YADE — run DEM simulations through natural conversation", "description": "An MCP server that connects AI agents to YADE, enabling discrete element method (DEM) simulations through natural language commands. It translates conversational requests into YADE script operations, allowing users to set up, run, and modify simulations without writing code directly.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Researchers or engineers who want to interact with YADE simulations through natural language rather than writing scripts.", "useCases": [ "Run DEM simulations by describing the setup in plain English", "Modify simulation parameters like particle size or material properties through chat", "Query simulation results or status without opening the YADE interface" ], "pros": [ "Lowers the barrier to using YADE for non-programmers", "Enables rapid prototyping of simulation scenarios via conversation", "Leverages MCP standard for agent integration" ], "cons": [ "Limited to YADE's existing capabilities and script interface", "Small user base (9 stars) suggests early-stage reliability risks", "Requires running both the MCP server and YADE environment" ], "tags": [ "ai", "anthropic", "claude", "dem", "discrete-element-method", "geomechanics", "llm", "mcp" ], "featured": false, "tier": "curated", "stars": 9, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/yusong652/yade-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "ahujasid-blender-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/yusong652-yade-mcp" }, { "slug": "yutarop-ros-mcp", "name": "Yutarop/ros-mcp", "vendor": "Various", "tagline": "MCP server for ROS to control robots via topics, services, and actions.", "description": "A Python-based MCP server that exposes ROS (Robot Operating System) topics, services, and actions through the Model Context Protocol. It allows AI agents or MCP clients to send commands and receive data from a ROS environment, enabling programmatic robot control.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to interact with ROS-based robots", "useCases": [ "Controlling a robot's movement by publishing to cmd_vel topics", "Querying sensor data from ROS topics via an MCP client", "Triggering ROS services or actions from an AI agent" ], "pros": [ "Bridges ROS with MCP for agent-based robot control", "Lightweight Python implementation with clear ROS integration", "Supports topics, services, and actions for comprehensive access" ], "cons": [ "Small community and limited documentation (32 stars)", "Requires a running ROS environment and MCP client setup", "Not actively maintained or widely tested beyond basic use cases" ], "tags": [ "mcp", "mcp-server", "ros2" ], "featured": false, "tier": "curated", "stars": 32, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2025-08-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/Yutarop/ros-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "ahujasid-blender-mcp", "wonderwhy-er-desktopcommandermcp", "executeautomation-playwright-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/yutarop-ros-mcp" }, { "slug": "yuvalsuede-agent-media", "name": "yuvalsuede/agent-media", "vendor": "Various", "tagline": "📇 ☁️ 🍎 🪟 🐧 - CLI and MCP server for AI video and image generation with unified access to 7 models (Kling, Veo, Sora, Seedance, Flux, Grok Imagine). Provides 9 tools for generat", "description": "A command-line interface and Model Context Protocol server that unifies access to seven AI video and image generation models: Kling, Veo, Sora, Seedance, Flux, and Grok Imagine. It exposes nine tools for generating and manipulating media through a single interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agent workflows that need multi-model media generation", "useCases": [ "Generate videos or images from text prompts using multiple model backends", "Integrate media generation into AI agent workflows via the MCP server", "Compare outputs from different models for prototyping or testing" ], "pros": [ "Unified CLI and MCP interface reduces integration overhead", "Supports a broad selection of leading video and image models", "Open source with extensible design" ], "cons": [ "Requires separate API keys and service subscriptions for each model", "Output quality and reliability depend on external provider availability", "CLI-only interface may have a learning curve for non-developers" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/yuvalsuede/agent-media", "relations": { "works_in": [ "cline", "cursor", "continue" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/yuvalsuede-agent-media" }, { "slug": "yuvalsuede-claudia", "name": "yuvalsuede/claudia", "vendor": "Various", "tagline": "CLI task manager for AI agents with MCP server support", "description": "Claudia is a CLI task manager that lets AI agents manage and execute tasks via an MCP server. It is built in TypeScript and provides a command-line interface for task orchestration.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agent workflows that need a lightweight, MCP-compatible task manager", "useCases": [ "Managing task queues for AI agents", "Integrating task management into MCP-based workflows", "Automating task execution from the command line" ], "pros": [ "Lightweight CLI with MCP server support", "Written in TypeScript for type safety", "Simple integration into existing agent pipelines" ], "cons": [ "Very early stage with only 13 GitHub stars", "Limited documentation and community support", "Narrow focus on MCP-based task management" ], "tags": [], "featured": false, "tier": "curated", "stars": 13, "language": [ "TypeScript" ], "license": "GPL-3.0", "lastUpdated": "2026-02-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/yuvalsuede/claudia", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "eyaltoledano-claude-task-master" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/yuvalsuede-claudia" }, { "slug": "yworks-mcp-typescribe", "name": "yWorks/mcp-typescribe", "vendor": "Various", "tagline": "An MCP server implementation enabling LLMs to work with new APIs and frameworks", "description": "This MCP server implementation allows LLMs to dynamically interact with new APIs and frameworks without prior training. It generates type information on the fly, enabling the model to understand and invoke unfamiliar endpoints.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a lightweight MCP solution for connecting LLMs to arbitrary or evolving APIs", "useCases": [ "Integrating LLMs with undocumented or rapidly changing APIs", "Automatically generating typed tool definitions for MCP clients", "Reducing manual schema writing when connecting LLMs to new services" ], "pros": [ "Enables flexible, on-the-fly API adaptation for LLMs", "Written in TypeScript, offering type safety and ease of maintenance", "Open source with a straightforward MCP server design" ], "cons": [ "Small user base (45 stars) suggests limited community and testing", "Requires TypeScript knowledge for customization and troubleshooting", "Only compatible with MCP-compatible clients, not standalone use" ], "tags": [ "api", "llm", "mcp-server", "typedoc", "typescript" ], "featured": false, "tier": "curated", "stars": 45, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-10-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/yWorks/mcp-typescribe", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "pydantic-pydantic-ai-mcp-run-python" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/yworks-mcp-typescribe" }, { "slug": "yyyhy-nash-arena", "name": "yyyhy/nash-arena", "vendor": "Various", "tagline": "Chess and Card Game Arena For LLM", "description": "Provides an arena for evaluating large language models through chess and card games. Built in Python, it allows developers to test and compare LLM strategic reasoning in turn-based game scenarios.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers researching LLM capabilities in game-based strategic reasoning", "useCases": [ "Benchmarking LLM decision-making in chess and card games", "Comparing performance of different language models on structured game tasks", "Testing strategic reasoning and planning abilities of LLMs" ], "pros": [ "Open source and freely available", "Focused specifically on LLM game-playing evaluation", "Simple Python codebase easy to modify" ], "cons": [ "Very low community adoption (2 stars)", "Unclear documentation and setup instructions", "Limited to chess and card games only" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-03-20", "addedAt": "2026-06-01", "officialLink": "https://github.com/yyyhy/nash-arena", "relations": { "works_in": [ "cline", "continue", "aider" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/yyyhy-nash-arena" }, { "slug": "zacccck-claude-mcp-read-email-attachments", "name": "Zacccck/Claude-MCP-Read-Email-Attachments", "vendor": "Various", "tagline": "Local MCP server for Claude — read and parse Outlook email attachments via Microsoft Graph API", "description": "A local MCP server that enables Claude to read and parse Outlook email attachments through Microsoft Graph API. It connects to a user's Outlook account, retrieves email attachments, and processes them for analysis or further automation.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing to automate the retrieval and processing of Outlook email attachments via Claude", "useCases": [ "Automating extraction of invoice attachments from Outlook emails", "Building a pipeline to parse and summarize email attachments with Claude", "Integrating Outlook attachment data into workflows triggered by Claude" ], "pros": [ "Direct integration with Microsoft Graph API for reliable access", "Open source with a small codebase for easy customization", "Written in JavaScript, widely accessible to developers" ], "cons": [ "Requires Microsoft Graph API setup and authentication management", "Limited to Outlook email attachments only", "Depends on local server running for Claude to use" ], "tags": [ "claude-mcp", "claude-mcp-server", "mcp-email-attachments" ], "featured": false, "tier": "curated", "stars": 8, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-03", "addedAt": "2026-06-01", "officialLink": "https://github.com/Zacccck/Claude-MCP-Read-Email-Attachments", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [ "elie222-inbox-zero", "microsoft-markitdown", "haris-musa-excel-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/zacccck-claude-mcp-read-email-attachments" }, { "slug": "zach-snell-bbkt", "name": "zach-snell/bbkt", "vendor": "Various", "tagline": "A Bitbucket CLI and Model Context Protocol (MCP) server in Go.", "description": "BBKT is a command-line interface for Bitbucket combined with a Model Context Protocol (MCP) server implemented in Go. It allows developers to interact with Bitbucket resources directly from the terminal and to expose Bitbucket operations to MCP-compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Go developers who need a lightweight Bitbucket CLI or an MCP server for Bitbucket", "useCases": [ "Manage Bitbucket repositories, pull requests, and branches via CLI", "Integrate Bitbucket workflows into MCP-based tools for AI assistants or automation", "Script Bitbucket operations in CI/CD pipelines using a compiled Go binary" ], "pros": [ "Single binary with no runtime dependencies, easy to install and run", "Combines CLI and MCP server functionality in one tool", "Open source and fully based on the Bitbucket API" ], "cons": [ "Very low star count and limited community validation", "Supports only Bitbucket, not GitHub or GitLab", "May have minimal features or lack ongoing maintenance" ], "tags": [ "bitbucket", "cli", "go", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "Go" ], "license": "Apache-2.0", "lastUpdated": "2026-05-17", "addedAt": "2026-06-01", "officialLink": "https://github.com/zach-snell/bbkt", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "sooperset-mcp-atlassian", "idosal-git-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/zach-snell-bbkt" }, { "slug": "zafronix-wc-mcp", "name": "zafronix/wc-mcp", "vendor": "Various", "tagline": "Model Context Protocol server for the Zafronix World Cup API — every FIFA World Cup since 1930. 15 tools wrapping tournaments, teams, players, matches, stadiums, brackets, standing", "description": "A Model Context Protocol server that wraps the Zafronix World Cup API, exposing 15 tools for accessing FIFA World Cup data from 1930 onward. It covers tournaments, teams, players, matches, stadiums, brackets, standings, and trivia. The server enables MCP-compatible clients to query historical World Cup information programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need authoritative World Cup history answers", "useCases": [ "Retrieve historical World Cup match results and stats", "Look up team and player information across tournaments", "Explore bracket progressions and final standings" ], "pros": [ "Focused domain coverage for a popular sporting event", "Uses the standard MCP protocol for integration with AI tools", "Provides structured access to decades of World Cup data" ], "cons": [ "Very narrow scope limited to FIFA World Cup data only", "Low community adoption (1 star) suggests limited maintenance or support", "Dependent on the Zafronix API which may have rate limits or availability issues" ], "tags": [ "ai-agents", "api-client", "claude", "fifa", "mcp", "world-cup", "zafronix" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/zafronix/wc-mcp", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/zafronix-wc-mcp" }, { "slug": "zaizaizhao-mcp-swagger-server", "name": "zaizaizhao/mcp-swagger-server", "vendor": "Various", "tagline": "MCP Swagger Server 将任何符合 OpenAPI/Swagger 规范的 REST API 转换为 Model Context Protocol (MCP) 格式，让 AI 助手能够理解和调用您的 API。", "description": "This tool converts any REST API that follows the OpenAPI/Swagger specification into a Model Context Protocol (MCP) server. It parses the API spec and generates MCP tool definitions, allowing AI assistants to discover and call the API endpoints. The server is written in TypeScript and is open source.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to quickly connect their REST APIs to AI assistants using the Model Context Protocol", "useCases": [ "Expose existing REST APIs to AI assistants for automated interactions", "Build AI agents that can call external services via natural language commands", "Prototype integrations between AI models and backend systems using OpenAPI specs" ], "pros": [ "Works with any OpenAPI-compliant REST API without manual configuration", "Open source and written in TypeScript, easy to extend or audit", "Reduces the effort needed to make APIs accessible to AI assistants" ], "cons": [ "Requires a valid OpenAPI specification for the target API", "Limited community adoption (67 stars) may mean fewer examples or support", "May not handle non-standard API behaviors or complex authentication flows" ], "tags": [ "mcp", "mcpserver", "openapi", "openapi-mcp", "swagger", "swagger-mcp" ], "featured": false, "tier": "curated", "stars": 67, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-04-19", "addedAt": "2026-06-01", "officialLink": "https://github.com/zaizaizhao/mcp-swagger-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/zaizaizhao-mcp-swagger-server" }, { "slug": "zboralski-ida-headless-mcp", "name": "zboralski/ida-headless-mcp", "vendor": "Various", "tagline": "Headless IDA Pro binary analysis via Model Context Protocol", "description": "zboralski/ida-headless-mcp provides a headless interface to IDA Pro for binary analysis, exposing its capabilities through the Model Context Protocol (MCP). It runs IDA Pro in non-interactive mode and allows external tools, such as AI agents or automated scripts, to invoke disassembly, decompilation, and other analysis functions via standardized MCP requests.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Security researchers and developers who need to automate binary analysis with IDA Pro in server, CI/CD, or AI-integrated environments", "useCases": [ "Automating reverse engineering workflows with IDA Pro in CI/CD pipelines", "Integrating IDA Pro analysis into AI-driven code understanding or vulnerability detection systems", "Performing batch binary analysis on multiple samples without manual GUI interaction" ], "pros": [ "Enables remote and automated access to IDA Pro's analysis engine", "Uses the Model Context Protocol, a standard for tool-agent communication", "Reduces resource overhead by running IDA Pro headlessly" ], "cons": [ "Requires a licensed installation of IDA Pro and proper headless setup", "MCP interface may not cover all IDA Pro features or plugins", "Initial configuration for headless mode and MCP integration can be complex" ], "tags": [ "claude", "claude-code", "codex", "disassembler", "go", "ida", "idalib", "il2cppdumper" ], "featured": false, "tier": "curated", "stars": 126, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-02-16", "addedAt": "2026-06-01", "officialLink": "https://github.com/zboralski/ida-headless-mcp", "relations": { "works_in": [ "cline", "cursor", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "lauriewired-ghidramcp", "mrexodia-ida-pro-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/zboralski-ida-headless-mcp" }, { "slug": "zcaceres-fetch-mcp", "name": "zcaceres/fetch-mcp", "vendor": "Various", "tagline": "A flexible HTTP fetching Model Context Protocol server.", "description": "A Model Context Protocol server for fetching HTTP resources. It lets AI models retrieve web content through a standardized interface. Written in TypeScript, it offers flexible configuration for different fetching needs.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-enabled AI agents that need web access", "useCases": [ "Retrieving webpage content for AI assistants", "Fetching API data in structured formats", "Integrating web scraping into MCP-based workflows" ], "pros": [ "Simple setup with clear configuration options", "Moderate adoption with 773 GitHub stars", "Written in TypeScript, easy to extend" ], "cons": [ "Limited to HTTP fetching, no support for JavaScript rendering", "Requires MCP-compatible client to operate", "No built-in caching mechanisms" ], "tags": [], "featured": false, "tier": "curated", "stars": 773, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-12", "addedAt": "2026-06-01", "officialLink": "https://github.com/zcaceres/fetch-mcp", "relations": { "works_in": [ "claude-code", "cline", "cursor" ], "uses": [], "built_with": [], "pairs_with": [ "browsermcp-mcp", "exa-labs-exa-mcp-server" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/zcaceres-fetch-mcp" }, { "slug": "zcaceres-gtasks-mcp", "name": "zcaceres/gtasks-mcp", "vendor": "Various", "tagline": "A Google Tasks Model Context Protocol Server for Claude", "description": "A Model Context Protocol server that enables Claude to read, create, and manage Google Tasks. Built in TypeScript, it exposes Google Tasks functionality through the MCP standard for integration with compatible AI assistants.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude who need programmatic access to Google Tasks", "useCases": [ "List and filter Google Tasks from within Claude", "Create new tasks and set due dates via natural language", "Update or complete existing tasks through conversation" ], "pros": [ "Leverages the MCP standard for broad compatibility with AI clients", "Open source with clear TypeScript codebase for customization", "Direct integration with Google Tasks without additional middleware" ], "cons": [ "Requires a compatible MCP client (primarily Claude) to function", "Limited to Google Tasks; no support for other task services", "Setup involves OAuth and local server configuration" ], "tags": [], "featured": false, "tier": "curated", "stars": 137, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-03-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/zcaceres/gtasks-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "eyaltoledano-claude-task-master" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/zcaceres-gtasks-mcp" }, { "slug": "zcaceres-markdownify-mcp", "name": "zcaceres/markdownify-mcp", "vendor": "Various", "tagline": "A Model Context Protocol server for converting almost anything to Markdown", "description": "A Model Context Protocol server that converts various input formats into Markdown. It is implemented in TypeScript and designed to be used within MCP-compatible environments, such as AI assistants or automation pipelines.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI workflows that need to convert diverse content into Markdown for processing", "useCases": [ "Convert web pages or HTML content to Markdown for LLM context ingestion", "Transform documents or code snippets into Markdown for structured output", "Integrate with MCP clients to normalize content into a uniform Markdown format" ], "pros": [ "Open source with a large community (over 2700 stars) indicating reliability", "Written in TypeScript, offering type safety and easy integration for JS/TS projects", "Follows the Model Context Protocol, enabling seamless use with MCP-aware tools" ], "cons": [ "Requires an MCP client or compatible environment to function", "Conversion quality may vary depending on input format complexity", "Limited to Markdown output; not suitable for other target formats" ], "tags": [ "ai", "anthropic", "anthropic-ai", "anthropic-claude", "markdown", "mcp", "model-context-protocol", "ocr" ], "featured": false, "tier": "curated", "stars": 2714, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/zcaceres/markdownify-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "microsoft-markitdown" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/zcaceres-markdownify-mcp" }, { "slug": "zefarie-pterodactyl-mcp", "name": "zefarie/pterodactyl-mcp", "vendor": "Various", "tagline": "zefarie/pterodactyl-mcp — indexed from awesome-mcp-servers-punkpeye", "description": "zefarie/pterodactyl-mcp is a Model Context Protocol server that enables AI assistants to manage Pterodactyl game server panels. It provides tools for creating, starting, stopping, and monitoring game servers through the Pterodactyl API.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and game server administrators who use Pterodactyl and want to automate server operations through AI assistants.", "useCases": [ "Automate game server provisioning and scaling via natural language commands", "Monitor server status and resource usage across a Pterodactyl panel", "Trigger server actions like restart or backup without manual panel navigation" ], "pros": [ "Direct integration with Pterodactyl's API for real-time server control", "Reduces manual overhead for repetitive server management tasks", "Open source and community-maintained" ], "cons": [ "Requires existing Pterodactyl panel setup and API credentials", "Limited to Pterodactyl ecosystem, not a general server management tool", "Dependent on the MCP protocol and compatible AI clients" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/zefarie/pterodactyl-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/zefarie-pterodactyl-mcp" }, { "slug": "zelentsov-dev-asc-mcp", "name": "zelentsov-dev/asc-mcp", "vendor": "Various", "tagline": "MCP server for App Store Connect API — 208 tools for managing apps, builds, TestFlight, subscriptions, and more from Claude, Cursor, VS Code, or any MCP client", "description": "An MCP server that wraps the App Store Connect API, exposing 208 tools for managing apps, builds, TestFlight, subscriptions, and more. It integrates with Claude, Cursor, VS Code, or any MCP client, allowing developers to interact with App Store Connect directly from their editor or chat interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "iOS and macOS developers who want to manage App Store Connect tasks from their coding environment", "useCases": [ "Automate app submission and build management from an IDE", "Manage TestFlight beta groups and tester assignments via chat", "Monitor and update in-app purchases and subscriptions programmatically" ], "pros": [ "Large tool surface covering most App Store Connect operations", "Works with multiple popular MCP clients for flexible integration", "Written in Swift, aligning with Apple ecosystem conventions" ], "cons": [ "Requires an MCP client to use, adding a dependency", "Limited to App Store Connect API, not a general-purpose tool", "Relatively new with only 38 stars, community and stability unproven" ], "tags": [ "ai-tools", "app-store-connect", "claude", "ios", "mcp", "model-context-protocol", "swift", "testflight" ], "featured": false, "tier": "curated", "stars": 38, "language": [ "Swift" ], "license": "MIT", "lastUpdated": "2026-05-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/zelentsov-dev/asc-mcp", "relations": { "works_in": [ "cursor", "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/zelentsov-dev-asc-mcp" }, { "slug": "zenml-io-mcp-zenml", "name": "zenml-io/mcp-zenml", "vendor": "Various", "tagline": "MCP server to connect an MCP client (Cursor, Claude Desktop etc) with your ZenML MLOps and LLMOps pipelines", "description": "An MCP server that acts as a bridge between MCP-compatible clients (such as Cursor and Claude Desktop) and ZenML MLOps and LLMOps pipelines. It enables these clients to interact with pipeline runs, artifacts, and deployments through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "ZenML users who want to interact with their MLOps and LLMOps pipelines through MCP-enabled tools and AI assistants", "useCases": [ "Query pipeline status and logs from an AI assistant inside a code editor", "Trigger ZenML pipeline runs or deployments via natural language commands", "Retrieve artifact metadata and model versions through a chat interface" ], "pros": [ "Native integration with ZenML's MLOps and LLMOps workflows", "Works with popular MCP clients like Cursor and Claude Desktop", "Open source and written in Python, easy to extend or customize" ], "cons": [ "Low GitHub star count (45) suggests limited adoption or early development stage", "Requires a running ZenML server and configured pipelines to be useful", "Documentation and community support may be sparse compared to larger projects" ], "tags": [ "llmops", "mcp", "mcp-server", "mlops" ], "featured": false, "tier": "curated", "stars": 45, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/zenml-io/mcp-zenml", "relations": { "works_in": [ "cursor" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/zenml-io-mcp-zenml" }, { "slug": "zeparhyfar-mcp-datetime", "name": "ZeparHyfar/mcp-datetime", "vendor": "Various", "tagline": "A MCP server for datetime formatting and file name generation.", "description": "A Python-based Model Context Protocol server that formats datetime values and generates file names with timestamps. It exposes date/time formatting operations for use by AI agents and tools through the MCP interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a lightweight MCP server for consistent datetime formatting in AI toolchains", "useCases": [ "Generate consistent timestamped filenames for logs or exports", "Format datetime strings in a standard pattern for reports", "Convert between datetime formats for data pipeline integration" ], "pros": [ "Single-purpose server keeps integration simple and focused", "Written in Python, easy to extend or modify for custom formats", "Low overhead for basic datetime formatting needs" ], "cons": [ "Limited to datetime formatting and filename generation only", "Small community with only 27 stars suggests limited support and documentation", "Requires an MCP-compatible client or host to be useful" ], "tags": [], "featured": false, "tier": "curated", "stars": 27, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2024-12-13", "addedAt": "2026-06-01", "officialLink": "https://github.com/ZeparHyfar/mcp-datetime", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/zeparhyfar-mcp-datetime" }, { "slug": "zhangpanda-gomcp", "name": "zhangpanda/gomcp", "vendor": "Various", "tagline": "The fast, idiomatic way to build MCP servers in Go. Gin-like DX with struct-tag auto schema, middleware, adapters for Gin/OpenAPI/gRPC.", "description": "gomcp provides a fast, idiomatic way to build MCP servers in Go. It uses struct-tag auto schema generation and middleware, similar to the Gin web framework. It includes adapters for Gin, OpenAPI, and gRPC.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Go developers who want to quickly build MCP servers with a familiar Gin-like pattern", "useCases": [ "Build MCP servers with Go", "Integrate MCP with existing Gin applications", "Generate MCP schemas automatically from Go structs" ], "pros": [ "Gin-like developer experience reduces boilerplate", "Supports multiple adapters for flexibility", "Leverages Go's performance for high-throughput MCP servers" ], "cons": [ "Early stage project with few stars and limited community", "Documentation and examples may be sparse", "Relies on struct tags which can be less flexible than code generation" ], "tags": [ "ai", "claude", "cursor", "framework", "gin", "go", "golang", "grpc" ], "featured": false, "tier": "curated", "stars": 13, "language": [ "Go" ], "license": "Apache-2.0", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/zhangpanda/gomcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "fastmcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/zhangpanda-gomcp" }, { "slug": "zhsama-duckduckgo-mcp-server", "name": "zhsama/duckduckgo-mcp-server", "vendor": "Various", "tagline": "📇 🏠 ☁️ - This is a TypeScript-based MCP server that provides DuckDuckGo search functionality.", "description": "A TypeScript Model Context Protocol (MCP) server that exposes DuckDuckGo search functionality. It allows MCP clients to query DuckDuckGo and retrieve search results programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a quick, API-key-free web search tool within MCP-based applications", "useCases": [ "Integrating web search into AI assistants or agents via MCP", "Building automated research tools that fetch DuckDuckGo results", "Adding search capabilities to development workflows that use MCP" ], "pros": [ "Lightweight and simple to deploy as an MCP server", "Written in TypeScript with clear codebase", "Provides access to DuckDuckGo's search results without API key" ], "cons": [ "Limited to DuckDuckGo search only", "Not an official DuckDuckGo service; may break if DuckDuckGo changes its frontend", "Rate limits or blocking may occur with heavy usage" ], "tags": [], "featured": false, "tier": "curated", "stars": 78, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2025-04-04", "addedAt": "2026-06-01", "officialLink": "https://github.com/zhsama/duckduckgo-mpc-server/", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "exa-labs-exa-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/zhsama-duckduckgo-mcp-server" }, { "slug": "zhwt-go-mcp-mysql", "name": "Zhwt/go-mcp-mysql", "vendor": "Various", "tagline": "Zero burden, ready-to-use Model Context Protocol (MCP) server for interacting with MySQL and automation. No Node.js or Python environment needed.", "description": "Zhwt/go-mcp-mysql is a lightweight Model Context Protocol server written in Go for interacting with MySQL databases. It runs as a standalone binary without requiring Node.js or Python environments.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want a lightweight MCP server for MySQL without Node.js or Python overhead.", "useCases": [ "Executing SQL queries through LLM agents", "Automating database operations via MCP", "Integrating MySQL with MCP-compatible tools" ], "pros": [ "Single binary deployment with no runtime dependencies", "Simple and minimal configuration", "Built in Go for performance" ], "cons": [ "Small community and fewer updates (56 stars)", "Limited to basic MCP features", "May lack advanced authentication or query filtering" ], "tags": [ "mcp", "mcp-server", "model-context-protocol", "mysql" ], "featured": false, "tier": "curated", "stars": 56, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-01-21", "addedAt": "2026-06-01", "officialLink": "https://github.com/Zhwt/go-mcp-mysql", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/zhwt-go-mcp-mysql" }, { "slug": "zilliztech-mcp-server-milvus", "name": "zilliztech/mcp-server-milvus", "vendor": "Various", "tagline": "Model Context Protocol Servers for Milvus", "description": "This is an open-source Python server that implements the Model Context Protocol (MCP) for Milvus, a vector database. It allows AI agents and LLM applications to interact with Milvus collections, perform vector searches, and manage data through a standardized MCP interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or LLM applications that need to query and manage vector data in Milvus.", "useCases": [ "Connect an AI agent to a Milvus vector database for semantic search", "Manage Milvus collections and insert/query vectors from an LLM tool", "Build retrieval-augmented generation (RAG) pipelines using MCP-compatible clients" ], "pros": [ "Standardizes Milvus access for any MCP-compatible AI agent or framework", "Lightweight Python server with clear protocol boundaries", "Active open-source project with 232 GitHub stars and community support" ], "cons": [ "Requires a running Milvus instance (local or cloud) to function", "Limited to Milvus-specific operations, not a general-purpose database tool", "Dependency on the evolving MCP specification and client compatibility" ], "tags": [], "featured": false, "tier": "curated", "stars": 232, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-05-08", "addedAt": "2026-06-01", "officialLink": "https://github.com/zilliztech/mcp-server-milvus", "relations": { "works_in": [], "uses": [ "milvus" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/zilliztech-mcp-server-milvus" }, { "slug": "zillow-auto-mobile", "name": "zillow/auto-mobile", "vendor": "Various", "tagline": "Mobile automation suite of tools including an MCP and libraries for test authoring & execution", "description": "zillow/auto-mobile is an open-source mobile automation suite from Zillow. It provides an MCP and TypeScript libraries for authoring and executing mobile tests. The tool is designed to streamline test automation workflows for mobile applications.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Teams seeking a TypeScript-native mobile test automation suite with MCP integration", "useCases": [ "Authoring mobile test scripts in TypeScript", "Executing automated tests on mobile devices or emulators", "Integrating mobile test automation into CI/CD pipelines" ], "pros": [ "Open source with permissive licensing", "TypeScript support provides type safety and modern tooling", "Includes an MCP for flexible automation control" ], "cons": [ "Small community (78 stars) limits support and contributions", "Documentation and examples may be sparse", "Less mature than established mobile automation frameworks" ], "tags": [], "featured": false, "tier": "curated", "stars": 78, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-03-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/zillow/auto-mobile", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "mobile-next-mobile-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/zillow-auto-mobile" }, { "slug": "zinja-coder-apktool-mcp-server", "name": "zinja-coder/apktool-mcp-server", "vendor": "Various", "tagline": "A MCP Server for APK Tool (Part of Android Reverse Engineering MCP Suites)", "description": "A Python-based MCP server that wraps APKTool for Android reverse engineering tasks. It enables AI assistants to interact with APKTool through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers automating Android APK analysis and modification through AI toolchains", "useCases": [ "Decompiling Android APKs to Smali code", "Rebuilding modified APKs for testing", "Integrating APKTool operations into AI-driven workflows" ], "pros": [ "Leverages the established APKTool library for reliable APK processing", "Provides structured access via MCP protocol for tool orchestration", "Active open-source project with 463 GitHub stars" ], "cons": [ "Requires Java Runtime Environment since APKTool depends on Java", "Limited to Android APK reverse engineering tasks only", "MCP integration adds a layer of complexity over direct APKTool usage" ], "tags": [ "ai", "android", "apktool", "llm", "mcp", "mcp-server", "mobile", "reverse-engineering" ], "featured": false, "tier": "curated", "stars": 463, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-04-25", "addedAt": "2026-06-01", "officialLink": "https://github.com/zinja-coder/apktool-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "lauriewired-ghidramcp", "mrexodia-ida-pro-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/zinja-coder-apktool-mcp-server" }, { "slug": "zinja-coder-jadx-ai-mcp", "name": "zinja-coder/jadx-ai-mcp", "vendor": "Various", "tagline": "Plugin for JADX to integrate MCP server", "description": "A plugin for JADX that integrates a Model Context Protocol (MCP) server, enabling AI assistants to interact with decompiled Android application code. It allows tools to query, navigate, and analyze JADX decompilation results programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Security researchers and developers automating Android app analysis with AI assistants", "useCases": [ "Automating reverse engineering workflows by querying decompiled code via AI", "Integrating AI code analysis into Android app security audits", "Building custom analysis pipelines that combine JADX output with AI reasoning" ], "pros": [ "Leverages JADX's robust decompilation for Android APKs", "MCP standard enables flexible integration with various AI tools", "Open source with active community (2223 stars)" ], "cons": [ "Requires JADX and MCP-compatible AI client setup", "Limited to Android decompilation use cases", "Plugin maturity may vary with JADX updates" ], "tags": [ "ai", "java", "llm", "mcp", "mcp-server", "mcp-servers", "mobile", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 2223, "language": [ "Java" ], "license": "Apache-2.0", "lastUpdated": "2026-05-28", "addedAt": "2026-06-01", "officialLink": "https://github.com/zinja-coder/jadx-ai-mcp", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "lauriewired-ghidramcp", "mrexodia-ida-pro-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/zinja-coder-jadx-ai-mcp" }, { "slug": "zkproofport-proofport-ai", "name": "zkproofport/proofport-ai", "vendor": "Various", "tagline": "zkproofport/proofport-ai — indexed from awesome-mcp-servers-punkpeye", "description": "ProofPort AI is a Model Context Protocol server that enables AI agents to generate and verify zero-knowledge proofs. It provides a standardized interface for integrating zk-proof capabilities into AI workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need privacy-preserving verification or zero-knowledge proof capabilities", "useCases": [ "Generate zero-knowledge proofs from AI agent requests", "Verify proofs within AI-driven applications", "Integrate privacy-preserving verification into MCP-compatible tools" ], "pros": [ "Bridges AI agents with zero-knowledge proof technology", "Follows the MCP standard for easy integration", "Open source and community-maintained" ], "cons": [ "Limited documentation beyond the repository", "Requires understanding of zero-knowledge proof concepts", "Dependent on the broader MCP ecosystem for full utility" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/zkproofport/proofport-ai", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/zkproofport-proofport-ai" }, { "slug": "zlatkoc-youtube-summarize", "name": "zlatkoc/youtube-summarize", "vendor": "Various", "tagline": "MCP server that fetches YouTube video transcripts and optionally summarizes them.", "description": "A Python-based MCP server that retrieves YouTube video transcripts and optionally generates summaries. It uses the Model Context Protocol to expose functionality to AI assistants and other tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a lightweight MCP server to programmatically access and summarize YouTube video transcripts.", "useCases": [ "Extracting YouTube transcripts for text analysis or data processing", "Integrating with AI assistants to generate concise video summaries", "Building automated note-taking or content aggregation from YouTube videos" ], "pros": [ "Simple MCP-based architecture for easy integration with AI workflows", "Handles both raw transcript retrieval and optional summarization in one tool", "Written in Python, making it accessible for developers to extend or modify" ], "cons": [ "Limited to YouTube videos only, no support for other video platforms", "Low star count suggests a niche or early-stage project with limited community support", "Summarization quality and method are not specified, potentially varying by implementation" ], "tags": [], "featured": false, "tier": "curated", "stars": 3, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-02", "addedAt": "2026-06-01", "officialLink": "https://github.com/zlatkoc/youtube-summarize", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "klavis-ai-youtube" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/zlatkoc-youtube-summarize" }, { "slug": "zleventer-salesforce-marketing-mcp", "name": "ZLeventer/salesforce-marketing-mcp", "vendor": "Various", "tagline": "ZLeventer/salesforce-marketing-mcp — indexed from awesome-mcp-servers-punkpeye", "description": "ZLeventer/salesforce-marketing-mcp is an open-source MCP server that bridges AI assistants with Salesforce Marketing. It acts as a connector, allowing AI tools to interact with Salesforce Marketing APIs through natural language or structured requests.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-powered integrations with Salesforce Marketing who prefer an open-source MCP approach.", "useCases": [ "Connect AI agents to Salesforce Marketing data and operations", "Trigger marketing workflows via API calls from an AI assistant", "Query marketing metrics or audience segments through conversational interfaces" ], "pros": [ "Open source and community maintained, allowing customization", "Leverages the MCP standard for seamless integration with MCP-compatible AI tools", "Reduces development effort for custom Salesforce Marketing integrations" ], "cons": [ "Requires Salesforce Marketing API credentials and setup", "Documentation and support rely on the open-source community", "May not cover all Salesforce Marketing Cloud features or endpoints" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-01", "officialLink": "https://github.com/ZLeventer/salesforce-marketing-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "sooperset-mcp-atlassian", "pipedreamhq-pipedream" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/zleventer-salesforce-marketing-mcp" }, { "slug": "zlinzzzz-findata-mcp-server", "name": "zlinzzzz/finData-mcp-server", "vendor": "Various", "tagline": "FinData enables your AI agents retrieve financial data from different providers like Tushare, Wind, and DataYes.", "description": "FinData is an MCP server that enables AI agents to retrieve financial data from providers such as Tushare, Wind, and DataYes. It acts as a bridge between AI agents and these data sources, providing a unified interface for programmatic access to financial datasets.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need programmatic access to Chinese financial data from Tushare, Wind, or DataYes", "useCases": [ "Fetching stock market data for analysis", "Integrating financial data into AI-driven trading bots", "Accessing historical financial data for backtesting models" ], "pros": [ "Open source and Python-based, easy to integrate into existing AI workflows", "Supports multiple financial data providers through a unified interface", "Lightweight MCP server that can be deployed quickly" ], "cons": [ "Limited community support and documentation due to small user base", "Dependency on third-party data providers which may require API keys or subscriptions", "May not cover all financial data types or global markets" ], "tags": [], "featured": false, "tier": "curated", "stars": 56, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2025-05-09", "addedAt": "2026-06-01", "officialLink": "https://github.com/zlinzzzz/finData-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mindsdb-mindsdb", "antv-mcp-server-chart" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/zlinzzzz-findata-mcp-server" }, { "slug": "zoharbabin-web-researcher-mcp", "name": "zoharbabin/web-researcher-mcp", "vendor": "Various", "tagline": "Your AI research assistant that cites real sources and stays honest. Search the entire web or narrow it down to just the sites you trust. Works with Claude, Cursor, any MCP client.", "description": "zoharbabin/web-researcher-mcp is a Go-based MCP server that lets AI agents search the web and cite real sources. It can search the entire web or restrict results to user-specified trusted sites. It works with any MCP client including Claude and Cursor.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-integrated AI assistants that require verifiable web search results.", "useCases": [ "Enable AI coding assistants to find current documentation or examples from the web.", "Give AI agents the ability to fact-check claims against a curated set of trusted websites.", "Provide AI-powered research in chat interfaces without hallucinated citations." ], "pros": [ "Open source and lightweight Go implementation.", "Allows whitelisting specific domains for trustworthy results.", "Compatible with multiple MCP clients out of the box." ], "cons": [ "Small community and limited adoption (14 stars).", "Go language dependency may be unfamiliar for some developers.", "No built-in caching or rate-limiting (must be handled externally)." ], "tags": [ "ai", "ai-agent", "ai-tools", "brave-search", "claude", "claude-code", "claude-desktop", "content-extraction" ], "featured": false, "tier": "curated", "stars": 14, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-01", "officialLink": "https://github.com/zoharbabin/web-researcher-mcp", "relations": { "works_in": [ "claude-code", "cursor" ], "uses": [], "built_with": [], "pairs_with": [ "browsermcp-mcp" ], "alternative_to": [ "exa-labs-exa-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/zoharbabin-web-researcher-mcp" }, { "slug": "zolo-ryan-marketauxmcpserver", "name": "zolo-ryan/MarketAuxMcpServer", "vendor": "Various", "tagline": "📇 ☁️ - MCP server for comprehensive market and financial news search with advanced filtering by symbols, industries, countries, and date ranges.", "description": "A Model Context Protocol server that provides comprehensive market and financial news search. It supports advanced filtering by symbols, industries, countries, and date ranges, enabling developers to integrate structured financial data into AI workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants or agents that need structured financial news and market data", "useCases": [ "Query financial news filtered by stock tickers or industries", "Retrieve market updates within specific date ranges", "Build AI agents that respond to financial queries with real-time data" ], "pros": [ "Supports granular filtering for precise data retrieval", "Written in TypeScript for type safety and easy integration", "Follows the MCP standard for interoperability with AI clients" ], "cons": [ "Limited to market and financial news only", "Requires a running MCP-compatible client to use", "Dependent on external MarketAux API availability and rate limits" ], "tags": [], "featured": false, "tier": "curated", "stars": 4, "language": [ "TypeScript" ], "lastUpdated": "2025-06-30", "addedAt": "2026-06-01", "officialLink": "https://github.com/Zolo-Ryan/MarketAuxMcpServer", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/zolo-ryan-marketauxmcpserver" }, { "slug": "zoomeye-ai-mcp-zoomeye", "name": "zoomeye-ai/mcp_zoomeye", "vendor": "Various", "tagline": "A Model Context Protocol server that provides network asset information based on query conditions. This server allows LLMs to obtain network asset information and supports querying", "description": "A Model Context Protocol server that exposes ZoomEye network asset data to LLMs. It accepts query conditions such as ZoomEye dorks and returns matching asset information. Built in Python, it enables AI agents to perform network reconnaissance through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building LLM agents that need on-demand network asset intelligence", "useCases": [ "Querying network assets by ZoomEye dork for security research", "Integrating network intelligence into LLM-based automation workflows", "Enabling AI agents to retrieve open port and service data on demand" ], "pros": [ "Provides structured network asset data directly to LLMs via MCP", "Simple Python implementation easy to extend or deploy", "Leverages ZoomEye's extensive internet scanning database" ], "cons": [ "Requires a valid ZoomEye API key with associated usage limits", "Limited to data available through ZoomEye's API (no real-time scanning)", "Dependency on external service availability and API changes" ], "tags": [ "cybersecurity", "osint", "search-engine", "zoomeye" ], "featured": false, "tier": "curated", "stars": 74, "language": [ "Python" ], "lastUpdated": "2025-11-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/zoomeye-ai/mcp_zoomeye", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/zoomeye-ai-mcp-zoomeye" }, { "slug": "ztuskes-garmin-documentation-mcp-server", "name": "ztuskes/garmin-documentation-mcp-server", "vendor": "Various", "tagline": "MCP server for Garmin Connect IQ API documentation - complete offline access to SDK 8.2.3", "description": "This MCP server provides complete offline access to the Garmin Connect IQ API documentation for SDK version 8.2.3. It is written in TypeScript and allows developers to query documentation without an internet connection.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building Garmin Connect IQ apps who need reliable offline documentation access", "useCases": [ "Querying API documentation offline during development", "Integrating Garmin SDK documentation into an MCP-compatible workflow", "Automating documentation lookups for Garmin Connect IQ apps" ], "pros": [ "Offline access eliminates dependency on network connectivity", "Targeted specifically at SDK 8.2.3 for accurate references", "Uses the standard MCP protocol for easy integration" ], "cons": [ "Limited to a single SDK version (8.2.3) with no update mechanism", "Small community (10 stars) may mean slower issue resolution", "May not cover all API nuances or provide interactive examples" ], "tags": [], "featured": false, "tier": "curated", "stars": 10, "language": [ "TypeScript" ], "lastUpdated": "2025-09-10", "addedAt": "2026-06-01", "officialLink": "https://github.com/ztuskes/garmin-documentation-mcp-server", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ztuskes-garmin-documentation-mcp-server" }, { "slug": "ztxtxwd-open-feishu-mcp-server", "name": "ztxtxwd/open-feishu-mcp-server", "vendor": "Various", "tagline": "📇 ☁️ 🏠 - A Model Context Protocol (MCP) server with built-in Feishu OAuth authentication, supporting remote connections and providing comprehensive Feishu document management too", "description": "A Model Context Protocol server that provides Feishu document management with built-in OAuth authentication. It supports remote connections, allowing AI assistants to interact with Feishu documents through the MCP interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI integrations with Feishu or Lark", "useCases": [ "Automating document creation and editing in Feishu", "Integrating Feishu with AI assistants via MCP", "Managing Feishu documents programmatically" ], "pros": [ "Built-in Feishu OAuth simplifies authentication setup", "Supports remote connections for cloud deployments", "Comprehensive document management features" ], "cons": [ "Requires Feishu API access and OAuth configuration", "Limited to the Feishu ecosystem", "Relatively low community adoption with 86 stars" ], "tags": [ "feishu", "lark", "mcp" ], "featured": false, "tier": "curated", "stars": 86, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-01-27", "addedAt": "2026-06-01", "officialLink": "https://github.com/ztxtxwd/open-feishu-mcp-server", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ztxtxwd-open-feishu-mcp-server" }, { "slug": "zueai-mcp-manager", "name": "zueai/mcp-manager", "vendor": "Various", "tagline": "simple web ui to manage mcp (model context protocol) servers in the claude app", "description": "zueai/mcp-manager provides a simple web user interface for managing Model Context Protocol (MCP) servers within the Claude desktop application. It allows users to add, remove, and configure MCP servers without editing configuration files directly.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude who need a convenient way to manage multiple MCP servers", "useCases": [ "Quickly add or remove MCP servers for Claude", "View and edit server configurations through a browser", "Monitor the status of connected MCP servers" ], "pros": [ "Simplifies MCP server management with a visual interface", "Open source and lightweight (TypeScript)", "Easy to set up and run locally" ], "cons": [ "Only works with the Claude desktop app", "Requires Node.js to run", "Limited to basic management; advanced MCP features may not be exposed" ], "tags": [ "claude", "llm", "mcp", "model-context-protocol", "react", "vite" ], "featured": false, "tier": "curated", "stars": 287, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-02-07", "addedAt": "2026-06-01", "officialLink": "https://github.com/zueai/mcp-manager", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "fastmcp", "browsermcp-mcp", "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/zueai-mcp-manager" }, { "slug": "zzhang82-agent-memory-bridge", "name": "zzhang82/Agent-Memory-Bridge", "vendor": "Various", "tagline": "Persistent engineering memory for coding agents over MCP.", "description": "Provides persistent memory for coding agents using the Model Context Protocol (MCP). It stores engineering context across sessions so agents can maintain ongoing awareness of a codebase. Written in Python and published as an open source repository.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building persistent memory workflows for MCP-based coding agents", "useCases": [ "Maintain agent context across multiple coding sessions", "Store engineering memory for AI-assisted code review", "Integrate persistent memory into MCP-compatible agent workflows" ], "pros": [ "Open source with permissive licensing", "Lightweight Python implementation", "Addresses a real gap in agent context management" ], "cons": [ "Very early stage with only 2 GitHub stars", "Limited documentation and community support", "Requires MCP-compatible agent systems to be useful" ], "tags": [ "agent-memory", "ai-agents", "claude", "cline", "codex", "coding-agents", "cursor", "developer-tools" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-26", "addedAt": "2026-06-01", "officialLink": "https://github.com/zzhang82/Agent-Memory-Bridge", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [ "topoteretes-cognee", "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/zzhang82-agent-memory-bridge" }, { "slug": "r-mcp-reddit", "name": "r/mcp Reddit", "vendor": "Various", "tagline": "Discord Server", "description": "A Reddit subreddit dedicated to discussing the Model Context Protocol (MCP). Developers share resources, ask questions, and collaborate on MCP-based projects. The community operates as a peer-to-peer support channel for MCP development.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers seeking community-driven help and discussion around the Model Context Protocol", "useCases": [ "Get help debugging MCP server implementations", "Share and discover custom MCP tools and connectors", "Stay updated on MCP protocol changes and community best practices" ], "pros": [ "Free and open community with broad developer participation", "Real-time discussion and diverse perspectives on MCP usage", "No vendor lock-in or platform restrictions" ], "cons": [ "No official support or curated documentation from maintainers", "Threads can contain noise or outdated information", "Requires self-navigation to find relevant answers quickly" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-02", "officialLink": "https://www.reddit.com/r/mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/r-mcp-reddit" }, { "slug": "reflagcom-mcp", "name": "reflagcom/mcp", "vendor": "Various", "tagline": "JS/TS SDKs for Reflag", "description": "Provides JavaScript and TypeScript SDKs for the Reflag platform. These SDKs allow developers to integrate Reflag's feature flag management services into their applications. The package includes support for the Model Context Protocol (MCP).", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "TypeScript developers already using or evaluating Reflag for feature flag management", "useCases": [ "Integrating Reflag feature flags into JavaScript applications", "Managing experiment rollouts from TypeScript code", "Using MCP for context-aware feature flag delivery" ], "pros": [ "TypeScript support with full type definitions", "Lightweight and focused SDK design", "MCP compatibility for advanced context integration" ], "cons": [ "Small community and limited documentation", "Tied to Reflag platform (vendor dependency)", "Low adoption with only 23 GitHub stars" ], "tags": [], "featured": false, "tier": "curated", "stars": 23, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-02", "addedAt": "2026-06-02", "officialLink": "https://github.com/reflagcom/javascript/tree/main/packages/cli#model-context-protocol", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/reflagcom-mcp" }, { "slug": "9hannahnine-jpg-arc-gate-mcp", "name": "9hannahnine-jpg/arc-gate-mcp", "vendor": "Various", "tagline": "Runtime governance for MCP tool calls — Arc Gate for the MCP protocol layer", "description": "Arc-Gate-MCP provides runtime governance for MCP (Model Context Protocol) tool calls by intercepting and enforcing policies at the protocol layer. It is implemented in Python and designed to integrate into MCP-based workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need runtime policy enforcement for MCP-based agent tool calls in experimental or internal projects", "useCases": [ "Enforce access control policies on MCP tool invocations", "Audit and log tool usage in AI agent pipelines", "Apply rate limiting or validation rules to MCP tool calls" ], "pros": [ "Lightweight Python implementation that slots into existing MCP setups", "Focuses specifically on governance without overcomplicating the protocol layer", "Open source with potential for custom policy extensions" ], "cons": [ "Zero stars on GitHub indicates very limited community adoption and testing", "Documentation and sample usage are minimal based on repository status", "Requires familiarity with MCP protocol to configure effectively" ], "tags": [ "ai-security", "llm-security", "mcp", "model-context-protocol", "prompt-injection" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "lastUpdated": "2026-05-31", "addedAt": "2026-06-07", "officialLink": "https://github.com/9hannahnine-jpg/arc-gate-mcp", "relations": { "works_in": [ "continue", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/9hannahnine-jpg-arc-gate-mcp" }, { "slug": "aarifmms-keyblind", "name": "aarifmms/keyblind", "vendor": "Various", "tagline": "keyblind", "description": "Keyblind is a minimal TypeScript utility for handling keyboard events. It likely provides functions to block or ignore specific key presses in browser environments. The project has very few stars and limited documentation.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring simple keyboard event filtering in small projects", "useCases": [ "Blocking specific keys during form input", "Suppressing default keyboard shortcuts", "Experimenting with keyboard event suppression" ], "pros": [ "Lightweight and easy to integrate", "Written in TypeScript for type safety" ], "cons": [ "Very low popularity and community support", "Lacks comprehensive documentation", "Uncertain reliability for production use" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-03", "addedAt": "2026-06-07", "officialLink": "https://github.com/aarifmms/keyblind", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/aarifmms-keyblind" }, { "slug": "ad0750-regintel-mcp", "name": "ad0750/regintel-mcp", "vendor": "Various", "tagline": "MCP server for the RegIntel API. Structured regulatory data across 41 jurisdictions and 212+ regulations, with regulator citations. Requires a free API key from regintelapi.com/get", "description": "An MCP server that provides structured regulatory data from the RegIntel API. It covers 41 jurisdictions and 212+ regulations including regulator citations. Requires a free API key with 100 credits (no credit card needed).", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building compliance automation tools that need structured regulatory data", "useCases": [ "Querying regulatory requirements across multiple jurisdictions", "Integrating compliance checks into developer workflows", "Retrieving regulator citations for specific regulations" ], "pros": [ "Free tier with 100 credits and no credit card required", "Covers a wide range of jurisdictions and regulations", "Includes regulator citations for traceability" ], "cons": [ "Limited to 100 credits on the free tier", "Relies on an external API with potential latency or downtime", "No built-in caching or offline access" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-07", "officialLink": "https://github.com/ad0750/regintel-mcp", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ad0750-regintel-mcp" }, { "slug": "agentcivics-agentcivics", "name": "agentcivics/agentcivics", "vendor": "Various", "tagline": "On-chain civil registry for AI agents — birth certificates, identity, and lineage tracking on Ethereum", "description": "A JavaScript library that registers AI agents on Ethereum with birth certificates, identity, and lineage tracking. It creates an on-chain civil registry where each agent gets a unique record tied to its origin and relationships.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with on-chain agent identity and provenance", "useCases": [ "Assign verifiable on-chain identities to autonomous agents", "Track agent lineage and provenance for audit trails", "Build decentralized registries for agent governance" ], "pros": [ "Provides a standardized identity layer for agents on Ethereum", "Open source with no vendor lock-in", "Lineage tracking enables trust through transparency" ], "cons": [ "Zero stars and no community traction yet", "Ethereum gas costs may limit scalability for high-frequency registrations", "No documentation or usage examples beyond the repo description" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-06-07", "addedAt": "2026-06-07", "officialLink": "https://github.com/agentcivics/agentcivics", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "autogen" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/agentcivics-agentcivics" }, { "slug": "agentvalet-agentvalet", "name": "AgentValet/AgentValet", "vendor": "Various", "tagline": "IGA for AI agents. IETF AIMS-compliant identity, credential governance & MCP proxy. SPIFFE · RFC 7591 · AuthZEN · CIBA. npx @agentvalet/register", "description": "AgentValet provides identity governance and administration (IGA) for AI agents. It implements IETF AIMS-compliant identity, credential governance, and an MCP proxy using standards such as SPIFFE, RFC 7591, AuthZEN, and CIBA. The tool is distributed as a TypeScript package and can be run via npx.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building multi-agent systems that require standardized identity governance and credential enforcement", "useCases": [ "Managing and governing identities for autonomous AI agents", "Enforcing credential policies and access control for agent-to-agent communication", "Setting up an MCP proxy to mediate agent interactions with identity verification" ], "pros": [ "Adheres to emerging IETF standards for agent identity and credential management", "Leverages established protocols like SPIFFE and CIBA for secure identity federation", "Lightweight deployment via npx with no complex infrastructure required" ], "cons": [ "Very early stage with zero GitHub stars and likely limited community support", "Documentation and examples may be sparse or incomplete", "Narrow focus on AI agent IGA may not suit general identity management needs" ], "tags": [ "agent-identity", "ai-agents", "aims", "credential-governance", "mcp" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-04", "addedAt": "2026-06-07", "officialLink": "https://github.com/AgentValet/AgentValet", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/agentvalet-agentvalet" }, { "slug": "ahmedxuhri-bigindexer", "name": "ahmedxuhri/bigindexer", "vendor": "Various", "tagline": "BGI tries to group code based on what the code actually does (its behavior), not just which file imports what.", "description": "BigIndexer groups code by behavioral similarity rather than import relationships. It analyzes Python code to cluster functions and classes that perform similar tasks, helping developers navigate unfamiliar codebases.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers exploring or refactoring Python codebases who want behavioral clustering", "useCases": [ "Discovering related functions across a large codebase", "Understanding code organization in legacy or undocumented projects", "Refactoring by identifying duplicated or overlapping logic" ], "pros": [ "Novel approach to code indexing based on behavior", "Lightweight Python tool with no external dependencies", "Useful for exploring unfamiliar repositories" ], "cons": [ "Very early stage with only 2 GitHub stars", "Limited documentation and community support", "May not scale well to very large codebases" ], "tags": [ "mcp", "software-architecture", "static-analysis" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-06-06", "addedAt": "2026-06-07", "officialLink": "https://github.com/ahmedxuhri/bigindexer", "relations": { "works_in": [ "cline", "claude-code", "aider", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ahmedxuhri-bigindexer" }, { "slug": "alexzavialov-travel-art-mcp", "name": "alexzavialov/travel-art-mcp", "vendor": "Various", "tagline": "Model Context Protocol server for travel.art — art-tourism data (biennales, art fairs, museum visitor guides) exposed to AI agents over MCP. Live at https://mcp.travel.art/", "description": "Model Context Protocol server that exposes art-tourism data from travel.art to AI agents. It provides structured access to biennales, art fairs, and museum visitor guides via the MCP interface, allowing agents to query live event and venue information.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or assistants that need reliable, queryable art-tourism data", "useCases": [ "Integrate art biennale and fair schedules into AI assistants or chatbots", "Retrieve museum visitor guide details for travel planning applications", "Enable AI agents to search and recommend art events based on location or date" ], "pros": [ "Open-source TypeScript implementation with a standardized MCP interface", "Direct access to curated art-tourism data without scraping", "Live endpoint at mcp.travel.art reduces deployment overhead" ], "cons": [ "Currently zero stars on GitHub, indicating limited community adoption or maturity", "Data scope is narrow, covering only art-tourism events and venues", "Requires an MCP-compatible client or host to be useful" ], "tags": [ "art", "art-tourism", "biennale", "cloudflare-workers", "mcp", "mcp-server", "model-context-protocol", "museums" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-05", "addedAt": "2026-06-07", "officialLink": "https://github.com/alexzavialov/travel-art-mcp", "relations": { "works_in": [ "cline", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/alexzavialov-travel-art-mcp" }, { "slug": "alfredoizdev-contextforge-mcp", "name": "alfredoizdev/contextforge-mcp", "vendor": "Various", "tagline": "Persistent memory MCP server for Claude Code, Cursor, and GitHub Copilot. Long-term memory via Model Context Protocol with semantic search, Git sync, and team collaboration.", "description": "Persistent memory server implementing the Model Context Protocol. Provides long-term memory for Claude Code, Cursor, and GitHub Copilot. Features semantic search, Git synchronization, and team collaboration capabilities.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want persistent memory across sessions in Claude Code, Cursor, or GitHub Copilot", "useCases": [ "Remembering context across coding sessions in Claude Code", "Sharing project memory among team members via Git sync", "Semantically searching past code decisions or documentation" ], "pros": [ "Integrates with multiple popular coding assistants", "Uses Git for versioned memory synchronization", "Implements the standardized Model Context Protocol" ], "cons": [ "Limited community adoption and testing (zero stars)", "Requires separate server setup and configuration", "Dependent on third-party tools that may change their MCP support" ], "tags": [ "ai-agent-memory", "claude", "claude-code", "copilot", "cursor", "knowledge-management", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-06-02", "addedAt": "2026-06-07", "officialLink": "https://github.com/alfredoizdev/contextforge-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [ "claude-code" ], "alternative_to": [ "topoteretes-cognee", "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/alfredoizdev-contextforge-mcp" }, { "slug": "aliasunder-vault-cortex", "name": "aliasunder/vault-cortex", "vendor": "Various", "tagline": "MCP server for Obsidian vaults — plugin-free search, memory, and full vault access for any AI agent", "description": "This tool is an MCP server that provides plugin-free access to Obsidian vaults. It allows any AI agent to search, read memory, and interact with the full vault content without requiring Obsidian plugins.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to connect AI agents to an Obsidian vault without relying on Obsidian plugins", "useCases": [ "Search and retrieve notes from an Obsidian vault via an AI agent", "Use vault content as long-term memory for AI assistants", "Enable programmatic read and write access to vault files" ], "pros": [ "No Obsidian plugins required for AI integration", "Works with any MCP-compatible AI agent or client", "Offers full vault access including search and memory functions" ], "cons": [ "Very low community adoption with only 1 GitHub star", "Likely early-stage with limited testing and documentation", "Requires running an additional MCP server alongside Obsidian" ], "tags": [ "ai-agent", "ai-memory", "ai-memory-system", "better-sqlite3", "docker", "fts5-search", "lightrag", "lightsail" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-07", "addedAt": "2026-06-07", "officialLink": "https://github.com/aliasunder/vault-cortex", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/aliasunder-vault-cortex" }, { "slug": "alvisooculus-optionsahoy-mcp", "name": "AlvisoOculus/optionsahoy-mcp", "vendor": "Various", "tagline": "Equity comp tax (ISO/NSO/RSU/QSBS), concentration, and hedging optimizer. MCP server + REST API with federal + 50-state + DC tax code, multi-year horizons.", "description": "AlvisoOculus/optionsahoy-mcp is an optimizer for equity compensation tax, concentration, and hedging. It operates as an MCP server and REST API, incorporating federal plus all 50 states and DC tax code across multi-year horizons.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building tax-aware equity compensation tools for US employees", "useCases": [ "Integrate equity tax calculations into financial planning dashboards", "Model ISO/NSO/RSU/QSBS tax outcomes under different state codes", "Build multi-year hedging simulations for concentrated equity positions" ], "pros": [ "Comprehensive tax code support including all US states", "Multi-year time horizon for long-term planning", "Available as both MCP server and REST API for flexible integration" ], "cons": [ "Zero stars indicates early stage with limited community validation", "Limited to US federal and state tax code only", "No UI or visualization provided (developer-only interface)" ], "tags": [ "ai-agents", "anthropic", "claude", "cloudflare-pages-functions", "equity-compensation", "finance", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-07", "addedAt": "2026-06-07", "officialLink": "https://github.com/AlvisoOculus/optionsahoy-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/alvisooculus-optionsahoy-mcp" }, { "slug": "amkrs3-keycae-mcp", "name": "AMKRS3/keycae-mcp", "vendor": "Various", "tagline": "MCP Server for Argentine electronic invoicing (facturación electrónica) with ARCA/AFIP. 10 tools for AI agents.", "description": "AMKRS3/keycae-mcp is an MCP server that provides 10 tools for AI agents to interact with Argentine electronic invoicing (facturación electrónica) through ARCA/AFIP. It is written in JavaScript and enables automated invoice generation, querying, and management.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents for Argentine electronic invoicing compliance", "useCases": [ "Automate invoice creation and submission to ARCA/AFIP", "Query invoice status and retrieve electronic records", "Integrate AI agents with Argentine tax compliance workflows" ], "pros": [ "Directly addresses a specific regional compliance need", "Provides a structured set of tools for agent integration", "Open source with a clear MCP protocol implementation" ], "cons": [ "Zero stars and no community traction yet", "Limited to Argentine invoicing, no broader utility", "No documentation or usage examples provided" ], "tags": [ "afip", "arca", "argentina", "fintech", "invoice", "mcp", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "lastUpdated": "2026-06-06", "addedAt": "2026-06-07", "officialLink": "https://github.com/AMKRS3/keycae-mcp", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/amkrs3-keycae-mcp" }, { "slug": "archoor-painspotter-mcp", "name": "archoor/painspotter-mcp", "vendor": "Various", "tagline": "Remote MCP for PainSpotter - AI-analyzed startup opportunities from Reddit, Hacker News, Product Hunt & Stack Exchange.", "description": "A remote Model Context Protocol server that scans Reddit, Hacker News, Product Hunt, and Stack Exchange for discussions and content that signal potential startup opportunities. It uses analysis to surface unsolved problems and pain points that entrepreneurs could address.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Solo founders and indie hackers wanting a structured way to spot startup ideas from community discussions.", "useCases": [ "Monitor online communities for unfilled needs to validate startup ideas", "Identify trending pain points across multiple platforms for market research", "Feed structured opportunity data into an MCP-compatible AI agent workflow" ], "pros": [ "Aggregates signals from four distinct, high-signal communities", "Open source and Python-based, easy to inspect or extend", "Works as a remote MCP server, integrating with existing AI toolchains" ], "cons": [ "Zero GitHub stars indicates little to no community validation or usage", "Dependent on external platform APIs or scraping which may break or require maintenance", "Requires running and hosting a remote MCP server, adding operational complexity" ], "tags": [ "ai", "mcp", "mcp-server", "model-context-protocol", "startup-ideas" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-04", "addedAt": "2026-06-07", "officialLink": "https://github.com/archoor/painspotter-mcp", "relations": { "works_in": [ "cline", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/archoor-painspotter-mcp" }, { "slug": "astroway-astroway-mcp", "name": "astroway/astroway-mcp", "vendor": "Various", "tagline": "Official MCP server for the AstroWay Calculation API — astrology tools for Claude Desktop, Cursor, Windsurf and any MCP client. Auto-generated from the live OpenAPI spec: natal cha", "description": "An MCP server that wraps the AstroWay Calculation API for use in Claude Desktop, Cursor, Windsurf, and any MCP client. Auto-generated from a live OpenAPI spec, it provides endpoints for natal charts, synastry, transits, Vedic dashas, Tarot, Human Design, and AI-generated horoscopes. Built in TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants or tools that need integrated astrology, Tarot, or Human Design data via MCP", "useCases": [ "Generate natal chart data in Claude Desktop via natural language", "Query transits or synastry between two birth charts from Cursor or Windsurf", "Retrieve Vedic dasha periods or Tarot readings programmatically" ], "pros": [ "Auto-generated from the live API spec, so endpoints stay current", "Covers a wide range of esoteric data (astrology, Tarot, Human Design) in one server", "Works with popular MCP clients out of the box" ], "cons": [ "Very early stage (1 star on GitHub); stability and adoption are unproven", "Limited to the AstroWay API — no offline fallback or custom source support", "Dependency on external API means usage costs and potential rate limits" ], "tags": [ "ai-tools", "api", "astrology", "astrology-api", "astroway", "claude", "claude-code", "claude-desktop" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-05", "addedAt": "2026-06-07", "officialLink": "https://github.com/astroway/astroway-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/astroway-astroway-mcp" }, { "slug": "automatelab-tech-n8n-mcp", "name": "AutomateLab-tech/n8n-mcp", "vendor": "Various", "tagline": "Debugging-first MCP server for n8n. Tools for workflow generation, linting, per-node execution diagnosis, and driving live n8n instances. Built for AI agents.", "description": "An open-source MCP server that connects AI agents to n8n. It provides tools for generating workflows, linting them, diagnosing per-node execution, and controlling live n8n instances. Designed for a debugging-first workflow.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to use AI agents to create and debug n8n workflows programmatically", "useCases": [ "Generate n8n workflows from natural language prompts", "Debug and fix node execution errors with step-by-step analysis", "Lint existing workflows for compliance with best practices" ], "pros": [ "Built specifically for agent-driven debugging and workflow creation", "Integrates directly with n8n's live instances", "Open-source and written in TypeScript" ], "cons": [ "Very low adoption (7 stars) indicating limited testing or maturity", "Depends on the Model Context Protocol, which is not standard across all AI agents", "Requires running an MCP server, adding infrastructure overhead" ], "tags": [ "ai-agent", "ai-agents", "ai-tools", "claude", "claude-code-plugin", "mcp", "model-context-protocol", "n8n" ], "featured": false, "tier": "curated", "stars": 7, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-07", "officialLink": "https://github.com/AutomateLab-tech/n8n-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "pipedreamhq-pipedream" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/automatelab-tech-n8n-mcp" }, { "slug": "automatelab-tech-seo-performance-mcp", "name": "AutomateLab-tech/seo-performance-mcp", "vendor": "Various", "tagline": "Post-publish SEO performance MCP. Unifies Google Search Console, Matomo, GA4, Clarity, and AI-citation signals per URL and emits a per-URL verdict.", "description": "Post-publish SEO performance MCP that unifies signals from Google Search Console, Matomo, GA4, Clarity, and AI-citation sources per URL. It processes these inputs and emits a single per-URL verdict. Written in TypeScript, it is designed for integration into AI agent workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need automated post-publish SEO insights", "useCases": [ "Monitor SEO performance after publishing across multiple analytics platforms", "Get a unified SEO verdict per URL from disparate data sources", "Integrate SEO signals into AI-driven content optimization pipelines" ], "pros": [ "Combines data from multiple analytics platforms into one verdict", "Provides a single per-URL SEO assessment", "Written in TypeScript for type safety and developer familiarity" ], "cons": [ "Zero stars indicates limited community adoption and validation", "Requires setup and maintenance of multiple analytics integrations", "Documentation and support may be sparse due to early stage" ], "tags": [ "aeo", "ai-citation", "clarity", "ga4", "geo", "google-search-console", "gsc", "matomo" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-07", "officialLink": "https://github.com/AutomateLab-tech/seo-performance-mcp", "relations": { "works_in": [ "cline", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/automatelab-tech-seo-performance-mcp" }, { "slug": "ayushagrawal288-memex", "name": "ayushagrawal288/memex", "vendor": "Various", "tagline": "Production-grade persistent memory service for AI agents — FastAPI + pgvector + local ONNX embeddings", "description": "Memex is a production-grade persistent memory service for AI agents built with FastAPI, pgvector, and local ONNX embeddings. It provides a REST API for storing and retrieving vector embeddings, enabling agents to maintain long-term context across sessions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need a self-hosted, scalable memory layer", "useCases": [ "Give AI agents persistent memory across conversations or tasks", "Store and query vector embeddings for semantic search in agent workflows", "Build a scalable memory backend for multi-agent systems" ], "pros": [ "Uses pgvector for efficient vector storage and retrieval", "Runs locally with ONNX embeddings, no external API dependencies", "FastAPI provides a modern, performant REST interface" ], "cons": [ "Requires PostgreSQL with pgvector extension, adding infrastructure complexity", "Limited documentation and community support due to zero stars", "ONNX embeddings may have lower accuracy than cloud-based alternatives" ], "tags": [ "ai-agents", "fastapi", "mcp", "memory", "pgvector", "postgresql", "python", "vector-search" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-04", "addedAt": "2026-06-07", "officialLink": "https://github.com/ayushagrawal288/memex", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "topoteretes-cognee", "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ayushagrawal288-memex" }, { "slug": "bmdhodl-agent47", "name": "bmdhodl/agent47", "vendor": "Various", "tagline": "Your AI agent just burned $200. AgentGuard stops it at $5. Runtime cost guardrails for AI agents — budget enforcement, loop detection, kill switch. Zero dependencies, MIT licensed.", "description": "AgentGuard is a Python library that enforces runtime cost guardrails for AI agents. It provides budget enforcement, loop detection, and a kill switch to prevent runaway spending. The tool has zero dependencies and is MIT licensed.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents who need a lightweight, no-frills cost guardrail", "useCases": [ "Set a hard budget cap on agent API calls to avoid cost overruns", "Detect and halt infinite loops in agent execution", "Implement a kill switch to manually stop an agent mid-task" ], "pros": [ "Zero dependencies makes it easy to integrate", "MIT license allows unrestricted use and modification", "Simple, focused solution for a common cost problem" ], "cons": [ "Limited to Python environments only", "No built-in monitoring or alerting beyond the kill switch", "Small community and limited documentation due to low stars" ], "tags": [ "agent-safety", "ai-agents", "ai-cost-management", "ai-safety", "anthropic", "budget-enforcement", "budget-guard", "coding-agents" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-07", "addedAt": "2026-06-07", "officialLink": "https://github.com/bmdhodl/agent47", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/bmdhodl-agent47" }, { "slug": "buggy1111-anonymize-mcp", "name": "Buggy1111/anonymize-mcp", "vendor": "Various", "tagline": "MCP server pro NLP nástroje ÚFAL MFF UK (NameTag, MasKIT, PONK) — česká právní AI: anonymizace, NER, čitelnost", "description": "An MCP server that integrates Czech NLP tools from ÚFAL MFF UK for legal AI tasks. It provides anonymization, named entity recognition, and readability analysis via the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building Czech legal AI assistants or document processing pipelines", "useCases": [ "Anonymize personal data in Czech legal documents", "Extract named entities from Czech court rulings", "Assess readability of Czech legal texts" ], "pros": [ "Leverages established academic NLP tools from Charles University", "Enables MCP-based integration with AI assistants", "Targets specific needs of Czech legal domain" ], "cons": [ "Limited to Czech language only", "Zero community adoption (0 stars) may indicate early stage", "Requires running the MCP server and dependencies" ], "tags": [ "anonymization", "claude", "czech", "fastmcp", "legal-tech", "mcp", "model-context-protocol", "ner" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "lastUpdated": "2026-06-06", "addedAt": "2026-06-07", "officialLink": "https://github.com/Buggy1111/anonymize-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "microsoft-markitdown" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/buggy1111-anonymize-mcp" }, { "slug": "callstackincubator-agent-device", "name": "callstackincubator/agent-device", "vendor": "Various", "tagline": "CLI to control iOS and Android devices for AI agents", "description": "CLI tool that enables AI agents to control iOS and Android devices directly from the command line. It provides a bridge between agent scripts and mobile device operations.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need programmatic mobile device control", "useCases": [ "Automating mobile app testing workflows", "Enabling AI agents to interact with device UIs", "Performing device-based tasks programmatically" ], "pros": [ "Supports both iOS and Android from a single tool", "Open-source with active community (2.5k stars)", "Designed specifically for agent integration" ], "cons": [ "Requires physical or emulated device setup and connection", "CLI-only, no graphical user interface", "May require updates to keep pace with OS changes" ], "tags": [ "adb", "agentic-ai", "agents", "ai-agents", "android-emulator", "automation", "e2e-testing", "expo" ], "featured": false, "tier": "curated", "stars": 2520, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-07", "addedAt": "2026-06-07", "officialLink": "https://github.com/callstackincubator/agent-device", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "mobile-next-mobile-mcp" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/callstackincubator-agent-device" }, { "slug": "carlosalvite-foundersignal-mcp", "name": "carlosalvite/foundersignal-mcp", "vendor": "Various", "tagline": "MCP server that gives Claude access to curated market intelligence such as revenue data, growth signals and community pain points to find SaaS ideas worth building.", "description": "An MCP server that gives Claude access to curated market intelligence including revenue data, growth signals, and community pain points. It helps find SaaS ideas worth building by combining external data with Claude's reasoning.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Solo founders and indie hackers looking for data-driven SaaS ideas", "useCases": [ "Identify SaaS opportunities from revenue and growth signals", "Validate business ideas using curated market data", "Surface community pain points for product inspiration" ], "pros": [ "Bridges Claude with real-world market data for more grounded analysis", "Curated intelligence reduces noise compared to raw web scraping", "Lightweight JavaScript implementation easy to integrate" ], "cons": [ "Relies on Claude's availability and API access", "Requires setting up and running an MCP server locally", "Data quality depends on the curator's sources and updates" ], "tags": [ "ai-tools", "claude", "founder-tools", "idea-generator", "idea-plugin", "indie-hacker", "market-research", "mcp" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "lastUpdated": "2026-05-28", "addedAt": "2026-06-07", "officialLink": "https://github.com/carlosalvite/foundersignal-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/carlosalvite-foundersignal-mcp" }, { "slug": "childrentime-reactuse", "name": "childrentime/reactuse", "vendor": "Various", "tagline": "115+ production-ready React Hooks for sensors, UI, state & browser APIs. Tree-shakable, SSR-safe, TypeScript-first. Used by Shopee, PDD & Ctrip. Inspired by VueUse.", "description": "A collection of 115+ production-ready React Hooks covering sensors, UI, state, and browser APIs. It is tree-shakable, SSR-safe, and TypeScript-first, inspired by VueUse and used by companies like Shopee, PDD, and Ctrip.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "React developers building complex web apps who want ready-made hooks for common browser and UI tasks", "useCases": [ "Add reusable hooks for browser APIs like geolocation or clipboard", "Manage UI state such as media queries or element visibility", "Implement sensor-based interactions like mouse position or device orientation" ], "pros": [ "Large library of hooks reduces boilerplate for common patterns", "Tree-shakable and SSR-safe for efficient production builds", "TypeScript-first with strong typing out of the box" ], "cons": [ "Dependency on external library may increase bundle if not tree-shaken properly", "Not all hooks may be maintained at the same pace as core React", "Learning curve for developers unfamiliar with hook-based patterns" ], "tags": [ "browser-api", "custom-hooks", "developer-tools", "frontend", "hooks", "hooks-library", "javascript", "mcp" ], "featured": false, "tier": "curated", "stars": 1011, "language": [ "MDX" ], "license": "Unlicense", "lastUpdated": "2026-05-27", "addedAt": "2026-06-07", "officialLink": "https://github.com/childrentime/reactuse", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/childrentime-reactuse" }, { "slug": "continuum-ai-corp-orcarouter-mcp-server", "name": "Continuum-AI-Corp/orcarouter-mcp-server", "vendor": "Various", "tagline": "Official MCP server for OrcaRouter — the LLM gateway with auto-routing and fallback chains. Browse models and chat from Claude Desktop, Cursor, Windsurf, or any MCP client.", "description": "This is the official MCP server for OrcaRouter, an LLM gateway that provides auto-routing and fallback chains. It allows users to browse models and chat from MCP-compatible clients like Claude Desktop, Cursor, and Windsurf. The server is written in TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to add model routing and fallback logic to their MCP-based tools", "useCases": [ "Route LLM requests through fallback chains for reliability", "Browse available models from an MCP client", "Chat with models directly from Claude Desktop or Cursor" ], "pros": [ "Enables automatic fallback between models for resilience", "Works with multiple popular MCP clients out of the box", "Lightweight TypeScript implementation" ], "cons": [ "Requires an OrcaRouter gateway to be running separately", "Limited to MCP-compatible clients only", "Small community with only 5 stars on GitHub" ], "tags": [ "ai-gateway", "anthropic", "claude-code", "claude-desktop", "cursor", "deepseek", "gemini", "grok" ], "featured": false, "tier": "curated", "stars": 5, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-26", "addedAt": "2026-06-07", "officialLink": "https://github.com/Continuum-AI-Corp/orcarouter-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/continuum-ai-corp-orcarouter-mcp-server" }, { "slug": "davidgut1982-lore-mcp", "name": "davidgut1982/lore-mcp", "vendor": "Various", "tagline": "Advanced MCP server for unified knowledge management with PostgreSQL+pgvector, knowledge graphs, research workflows, and Claude Code integration", "description": "An open-source MCP server that unifies knowledge management using PostgreSQL with pgvector for vector storage, knowledge graphs, and research workflows. It integrates with Claude Code to provide context-aware assistance during development sessions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude Code who want a centralized, searchable knowledge base with vector and graph capabilities", "useCases": [ "Store and query project documentation with semantic search", "Manage research notes with vector similarity and graph relationships", "Inject relevant context into Claude Code conversations" ], "pros": [ "Combines vector search, graph storage, and research workflows in one server", "Leverages PostgreSQL and pgvector for scalable, well-supported infrastructure", "Open-source Python implementation that is extensible and auditable" ], "cons": [ "Requires separate PostgreSQL instance with pgvector extension", "Low GitHub stars suggest limited community adoption and potential instability", "Tightly coupled to Claude Code; may not work as smoothly with other MCP clients" ], "tags": [ "ai-agents", "claude", "devops", "homelab", "knowledge-management", "llm", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-02", "addedAt": "2026-06-07", "officialLink": "https://github.com/davidgut1982/lore-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/davidgut1982-lore-mcp" }, { "slug": "decksaga-market-pulse-mcp", "name": "decksaga/market-pulse-mcp", "vendor": "Various", "tagline": "Real-time market data server for Claude. Crypto prices, forex rates & sentiment — powered by MCP.", "description": "An MCP server that supplies real-time market data to Claude, covering crypto prices, forex rates, and sentiment. It uses the Model Context Protocol to integrate into AI workflows. Currently very early stage with minimal adoption.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with MCP and needing live market data in Claude", "useCases": [ "Fetching live cryptocurrency prices during Claude conversations", "Checking forex exchange rates on demand", "Pulling market sentiment data for analysis" ], "pros": [ "Provides real-time financial data directly inside Claude", "Simple JavaScript codebase easy to inspect or modify", "Leverages MCP for standardised AI integration" ], "cons": [ "Very low community traction (2 stars) suggests limited testing or support", "No indication of reliability or update frequency", "Narrow scope focused only on Claude and MCP protocol" ], "tags": [ "ai-tools", "claude", "crypto", "forex", "market-data", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-18", "addedAt": "2026-06-07", "officialLink": "https://github.com/decksaga/market-pulse-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/decksaga-market-pulse-mcp" }, { "slug": "deficlow-hyperstore-mcp", "name": "deficlow/HyperStore-MCP", "vendor": "Various", "tagline": "HyperStore-MCP", "description": "HyperStore-MCP is a Python-based tool that provides a Model Context Protocol (MCP) server for storing and retrieving data. It allows AI agents to persist and query structured information through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-compatible AI agents that need a simple persistent store", "useCases": [ "Enable AI agents to save and recall session data across interactions", "Store and retrieve structured records for agent workflows", "Provide a persistent memory layer for MCP-compatible applications" ], "pros": [ "Implements the MCP standard for interoperability with various AI agents", "Lightweight Python implementation with minimal dependencies", "Open source with permissive licensing" ], "cons": [ "No community traction yet (0 GitHub stars)", "Limited documentation beyond the repository name", "Unclear storage backend or scalability characteristics" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-16", "addedAt": "2026-06-07", "officialLink": "https://github.com/deficlow/HyperStore-MCP", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "mindsdb-mindsdb" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/deficlow-hyperstore-mcp" }, { "slug": "dialloube-research-hypernatt-terminal", "name": "DIALLOUBE-RESEARCH/hypernatt-terminal", "vendor": "Various", "tagline": "BTC Decision Terminal for AI Agents — live vault-backed signals, on-chain proof, cross-chain swap. Verify in real time.", "description": "A JavaScript terminal that delivers live vault-backed BTC signals for AI agents. It provides on-chain proof for signal verification and supports cross-chain swaps, all verifiable in real time.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers prototyping AI agents that require on-chain verified BTC signals and cross-chain swap capabilities", "useCases": [ "Integrating live BTC signals into autonomous AI trading agents", "Verifying signal authenticity using on-chain proof", "Executing cross-chain swaps triggered by terminal decisions" ], "pros": [ "Provides on-chain proof for signal transparency", "Enables cross-chain swap functionality", "Gives real-time vault-backed signals for agents" ], "cons": [ "Zero stars indicate very limited community adoption", "No evidence of active maintenance or updates", "Lacks documented success stories or usage examples" ], "tags": [ "ai-agents", "btc", "defi", "hyperliquid", "mcp", "smithery", "x402" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-07", "officialLink": "https://github.com/DIALLOUBE-RESEARCH/hypernatt-terminal", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/dialloube-research-hypernatt-terminal" }, { "slug": "djtellado-nexus-legal-mcp", "name": "djtellado/nexus-legal-mcp", "vendor": "Various", "tagline": "Nexus Legal — Model Context Protocol server. Multi-jurisdictional legal analysis (ES + LatAm + EU) with 11 tools for Claude Desktop, Claude Code, Cursor and other MCP clients.", "description": "Nexus Legal is an open-source Model Context Protocol server that provides multi-jurisdictional legal analysis across Spain, Latin America, and the European Union. It exposes 11 tools for use with MCP-compatible clients like Claude Desktop, Claude Code, and Cursor, enabling automated legal research and document review.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building legal tech tools or workflows that need cross-jurisdictional legal analysis in Spanish and EU contexts.", "useCases": [ "Analyze legal documents across Spanish, Latin American, and EU jurisdictions", "Automate legal research queries through Claude or Cursor interfaces", "Integrate multi-jurisdictional legal checks into development workflows" ], "pros": [ "Covers multiple legal jurisdictions in a single tool", "Works with popular MCP clients for flexible integration", "Open-source and written in TypeScript for easy customization" ], "cons": [ "Very early stage with only 1 GitHub star and limited community adoption", "Legal accuracy and completeness depend on underlying data sources not specified", "Requires MCP-compatible client setup, adding integration overhead" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-17", "addedAt": "2026-06-07", "officialLink": "https://github.com/djtellado/nexus-legal-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [ "claude-code", "continue" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/djtellado-nexus-legal-mcp" }, { "slug": "drjerryrelth-ghl-command-feedback", "name": "drjerryrelth/ghl-command-feedback", "vendor": "Various", "tagline": "Bug reports & feature requests for GHL Command — the @elitedcs/ghl-mcp GoHighLevel MCP server for Claude", "description": "This repository serves as a public bug tracker and feature request board for GHL Command, a GoHighLevel MCP server for Claude. Users can submit issues to report problems or suggest improvements to the @elitedcs/ghl-mcp server.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using the @elitedcs/ghl-mcp GoHighLevel MCP server who need to report bugs or request features", "useCases": [ "Submitting bug reports for the GHL Command MCP server", "Requesting new features or enhancements for GoHighLevel integration", "Tracking open issues and planned work for the server" ], "pros": [ "Centralized place for all feedback on the MCP server", "Simple GitHub issue workflow familiar to developers", "Free and open for anyone to contribute" ], "cons": [ "No code or documentation in this repo, only issue tracking", "Zero stars and no visible community activity as of writing", "Limited usefulness beyond reporting and tracking issues" ], "tags": [ "ai-agent", "claude", "crm", "ghl", "gohighlevel", "marketing-automation", "mcp", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 0, "language": [], "lastUpdated": "2026-05-30", "addedAt": "2026-06-07", "officialLink": "https://github.com/drjerryrelth/ghl-command-feedback", "relations": { "works_in": [ "github" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/drjerryrelth-ghl-command-feedback" }, { "slug": "dugubuyan-agent-nexus", "name": "dugubuyan/agent-nexus", "vendor": "Various", "tagline": "A service-boundary-aware document exchange center for coordinating heterogeneous LLM code agents via MCP. Implements versioned Markdown store, pub-sub notifications, and diff-aware", "description": "A document exchange center that coordinates heterogeneous LLM code agents using the Model Context Protocol (MCP). It provides a versioned Markdown store, pub-sub notifications, and a diff-aware update protocol to manage service boundaries between agents.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with multi-agent LLM systems that need structured document exchange", "useCases": [ "Orchestrating multiple LLM agents that operate on shared documents", "Implementing pub-sub workflows for agent collaboration", "Tracking document versions and changes across agent interactions" ], "pros": [ "Service-boundary-aware design helps isolate agent responsibilities", "Diff-aware updates reduce redundant data transfer", "Uses MCP for standardized agent communication" ], "cons": [ "Very early stage with only 1 star and minimal community adoption", "Limited documentation and examples for practical use", "Python-only implementation may restrict integration options" ], "tags": [ "agents", "ai-agents", "code-agents", "document-exchange", "l-l-m", "llm", "m-c-p", "multi-agent" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-03", "addedAt": "2026-06-07", "officialLink": "https://github.com/dugubuyan/agent-nexus", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [ "aider", "cline", "agent-infra-mcp-server-browser" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/dugubuyan-agent-nexus" }, { "slug": "enmanuelmag-heimdall-mcp", "name": "enmanuelmag/heimdall-mcp", "vendor": "Various", "tagline": "Transparent MCP proxy with OpenTelemetry tracing. Wrap any MCP server and persist traces to SQLite, Postgres or MySQL.", "description": "Heimdall MCP is a transparent proxy for MCP servers that adds OpenTelemetry tracing. It wraps any MCP server and persists trace data to SQLite, Postgres, or MySQL for observability.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing observability for MCP servers in production or debugging workflows", "useCases": [ "Add distributed tracing to existing MCP servers without code changes", "Debug MCP server behavior by inspecting persisted trace data", "Monitor MCP server performance in production environments" ], "pros": [ "Works with any MCP server as a drop-in proxy", "Supports multiple storage backends (SQLite, Postgres, MySQL)", "Lightweight TypeScript implementation" ], "cons": [ "Small community with only 8 GitHub stars", "Limited documentation and examples", "Requires separate OpenTelemetry collector setup for advanced use" ], "tags": [ "agent", "audit", "audit-trail", "javascript", "mcp", "model-context-protocol", "observability", "opentelemetry" ], "featured": false, "tier": "curated", "stars": 8, "language": [ "TypeScript" ], "lastUpdated": "2026-05-27", "addedAt": "2026-06-07", "officialLink": "https://github.com/enmanuelmag/heimdall-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/enmanuelmag-heimdall-mcp" }, { "slug": "ertad-family-liquid", "name": "ertad-family/liquid", "vendor": "Various", "tagline": "AI discovers APIs. Code syncs data. No adapters to write.", "description": "Liquid uses AI to discover APIs and sync data without requiring custom adapter code. It is a Python tool that automates the integration process by identifying API endpoints and handling data synchronization.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to quickly sync data from multiple APIs without writing custom integration code", "useCases": [ "Automating data sync between multiple APIs without manual adapter development", "Discovering undocumented or changing API endpoints for integration projects", "Rapidly prototyping data pipelines that pull from various web services" ], "pros": [ "Eliminates the need to write and maintain custom API adapters", "AI-driven discovery reduces manual API exploration effort", "Python-based, easy to integrate into existing data workflows" ], "cons": [ "No stars or community adoption yet, reliability unproven", "AI discovery may miss edge cases or require human validation", "Limited documentation and support due to early stage" ], "tags": [ "agent-tools", "ai-agents", "api-integration", "llm", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "lastUpdated": "2026-06-04", "addedAt": "2026-06-07", "officialLink": "https://github.com/ertad-family/liquid", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ertad-family-liquid" }, { "slug": "explorer-64-imagcon-mcp", "name": "Explorer-64/imagcon-mcp", "vendor": "Various", "tagline": "MCP server for Imagcon — generate deployment-ready PWA, iOS, and Android app icon sets from a text description", "description": "Explorer-64/imagcon-mcp is an MCP server that wraps Imagcon to generate app icon sets from a text description. It produces deployment-ready icons for PWA, iOS, and Android platforms. The tool is written in Python and integrates with MCP-compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need rapid, text-driven icon generation for cross-platform apps", "useCases": [ "Generate app icons from a text prompt for multiple platforms", "Automate icon set creation in a development pipeline", "Quickly prototype icon designs without manual design tools" ], "pros": [ "Generates icons for three major platforms from a single description", "Integrates via MCP for easy use with AI assistants and workflows", "Simple text-to-icon approach reduces manual effort" ], "cons": [ "Zero stars on GitHub indicates limited community adoption or testing", "Dependent on Imagcon's quality and feature set", "Requires MCP setup and may not be standalone" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "lastUpdated": "2026-05-21", "addedAt": "2026-06-07", "officialLink": "https://github.com/Explorer-64/imagcon-mcp", "relations": { "works_in": [ "cline", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/explorer-64-imagcon-mcp" }, { "slug": "fdcommercial-property-finance-mcp", "name": "fdcommercial/property-finance-mcp", "vendor": "Various", "tagline": "MCP server exposing FD Commercial's free UK property finance calculators: bridging cost, development appraisal, BTL stress test, UK stamp duty.", "description": "A Model Context Protocol server that wraps FD Commercial's free UK property finance calculators. It exposes endpoints for bridging cost, development appraisal, buy-to-let stress testing, and stamp duty calculations. Developers call these endpoints through the MCP protocol to integrate finance data into their tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building UK property finance tools or assistants", "useCases": [ "Calculate UK stamp duty for property purchases", "Stress test buy-to-let mortgage affordability", "Model bridging loan costs and development appraisals" ], "pros": [ "Free access to specialized UK property finance calculators", "Standard MCP protocol for easy integration into AI tools", "TypeScript implementation for type safety" ], "cons": [ "Limited to UK property finance calculations only", "No built-in authentication or rate limiting as open source", "Requires an MCP-compatible client to use" ], "tags": [ "ai-tools", "anthropic", "bridging", "bridging-loan", "buy-to-let", "claude", "development-finance", "fintech" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "lastUpdated": "2026-05-28", "addedAt": "2026-06-07", "officialLink": "https://github.com/fdcommercial/property-finance-mcp", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/fdcommercial-property-finance-mcp" }, { "slug": "forgemeshlabs-coinopai-mcp", "name": "forgemeshlabs/coinopai-mcp", "vendor": "Various", "tagline": "MCP server for CoinOpAI - agent automation prompts and crypto signals via x402 micropayments on Base", "description": "MCP server that connects AI agents to CoinOpAI for automation prompts and crypto signals. Uses x402 micropayments on the Base blockchain to enable pay-per-use access.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need on-chain crypto signals with pay-per-use billing", "useCases": [ "Retrieve crypto signals via AI agent prompts", "Integrate micropayment-based automation into agent workflows", "Access CoinOpAI data through the Model Context Protocol" ], "pros": [ "Pay-per-use model via x402 micropayments avoids upfront costs", "Built on Base for low transaction fees", "Standard MCP protocol simplifies agent integration" ], "cons": [ "No community activity or stars indicating early stage", "Requires Base blockchain wallet and familiarity with micropayments", "Limited documentation and support resources" ], "tags": [ "agent-commerce", "ai-agents", "base", "crypto", "forgemesh", "mcp", "micropayments", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-06-05", "addedAt": "2026-06-07", "officialLink": "https://github.com/forgemeshlabs/coinopai-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [ "cline", "continue", "claude-code" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/forgemeshlabs-coinopai-mcp" }, { "slug": "forgemeshlabs-imagegen-mcp", "name": "forgemeshlabs/imagegen-mcp", "vendor": "Various", "tagline": "[](https://glama.ai/mcp/servers/forgemeshlabs/imagegen-mcp) 📇 ☁️ - AI image generation MCP server with generate, background removal, 4x HD upscale, and full pro pipeline tools. Pa", "description": "An MCP server for AI image generation that provides tools for generating images, removing backgrounds, and upscaling to 4x HD. It also includes a full pro pipeline for advanced image processing workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based applications that need integrated AI image generation and editing capabilities", "useCases": [ "Integrate AI image generation into MCP-compatible applications", "Automate background removal and high-resolution upscaling", "Build custom image processing pipelines with pro-level tools" ], "pros": [ "Offers a comprehensive set of image manipulation tools in one server", "Supports upscaling to 4x HD for high-quality output", "Includes a pro pipeline for complex workflows" ], "cons": [ "No stars or community activity yet, indicating limited adoption", "Documentation and examples may be sparse", "Requires MCP-compatible client to use" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-07", "officialLink": "https://github.com/forgemeshlabs/imagegen-mcp", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/forgemeshlabs-imagegen-mcp" }, { "slug": "forgemeshlabs-travel-mcp", "name": "forgemeshlabs/travel-mcp", "vendor": "Various", "tagline": "[](https://glama.ai/mcp/servers/forgemeshlabs/travel-mcp) 📇 ☁️ - Public travel search workflow MCP server for airport lookup, route comparison, timing guidance, and external booki", "description": "forgemeshlabs/travel-mcp is an MCP server that provides a public travel search workflow. It handles airport lookup, route comparison, timing guidance, and external booking integration. Built in JavaScript, it follows the Model Context Protocol for tool-use by AI assistants.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI travel assistants who need a simple open-source MCP server for route and airport queries.", "useCases": [ "Look up airport codes and details for trip planning", "Compare flight routes between destinations", "Get timing guidance for travel scheduling" ], "pros": [ "Open-source and publicly accessible on GitHub", "Uses standard MCP protocol for easy integration with AI agents", "Covers key travel search steps in one workflow" ], "cons": [ "No stars on GitHub indicates very limited community adoption", "May lack documentation or support for edge cases", "Features appear basic compared to commercial travel APIs" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-07", "officialLink": "https://github.com/forgemeshlabs/travel-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "rocketride-org-rocketride-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/forgemeshlabs-travel-mcp" }, { "slug": "freelexho-power-bi-mcp", "name": "FreelexHo/power-bi-mcp", "vendor": "Various", "tagline": "[](https://glama.ai/mcp/servers/FreelexHo/power-bi-mcp) 🐍 ☁️ 🪟 🍎 🐧 - Power BI MCP server with device code auth, enhanced refresh (table-level polling with retry), refresh diagn", "description": "A Power BI MCP server in Python that uses device code authentication. It provides enhanced refresh capabilities with table-level polling and retry logic, along with refresh diagnostics.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based automation for Power BI refresh processes", "useCases": [ "Automating Power BI dataset refreshes via MCP", "Monitoring refresh status with table-level polling", "Integrating Power BI operations into MCP-enabled workflows" ], "pros": [ "Device code authentication for secure access", "Table-level polling with retry for robust refresh handling" ], "cons": [ "Early stage with limited community adoption (1 star)", "No official vendor support or extensive documentation" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-02", "addedAt": "2026-06-07", "officialLink": "https://github.com/FreelexHo/power-bi-mcp", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/freelexho-power-bi-mcp" }, { "slug": "gautam-u-sieve-mcp", "name": "gautam-u/sieve-mcp", "vendor": "Various", "tagline": "MCP server for Sieve — local AI chat history secret scanner for macOS", "description": "This MCP server integrates with Sieve to scan local macOS AI chat history for secrets such as API keys or passwords. It runs as a JavaScript-based server using the Model Context Protocol, enabling automated secret detection within compatible workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers on macOS who want to catch sensitive data leaks in their local AI chat logs.", "useCases": [ "Audit local AI assistant conversations for leaked credentials", "Integrate secret scanning into MCP-compatible developer toolchains", "Detect exposed secrets in macOS app chat logs before committing code" ], "pros": [ "Lightweight JavaScript implementation with minimal dependencies", "Designed specifically for macOS AI chat history scanning", "Follows the Model Context Protocol for easy integration" ], "cons": [ "Limited to macOS platform and AI chat histories", "Zero stars suggests very early stage with limited community feedback", "Requires an MCP-compatible environment to function" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-07", "officialLink": "https://github.com/gautam-u/sieve-mcp", "relations": { "works_in": [ "cline", "aider" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gautam-u-sieve-mcp" }, { "slug": "geondongkim-geond-agent-protocol", "name": "geondongkim/geond-agent-protocol", "vendor": "Various", "tagline": "Local-first MCP server for shared memory, reservations, handoffs, and review evidence across AI coding agents.", "description": "A local-first MCP server that provides shared memory, reservations, handoffs, and review evidence for AI coding agents. It enables multiple agents to coordinate and persist context without relying on external services.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with multi-agent coding systems who want a lightweight, local coordination layer.", "useCases": [ "Orchestrating multi-agent coding workflows with shared state", "Handing off tasks between agents with reservation and review tracking", "Persisting agent context and evidence for later inspection" ], "pros": [ "Local-first design avoids external dependencies for coordination", "Provides structured mechanisms for agent handoffs and reviews", "Written in Python, easy to integrate into existing MCP toolchains" ], "cons": [ "Very early stage with only 1 star and limited community adoption", "Potential scalability or reliability issues due to a single maintainer", "Requires agents to implement MCP client support to use" ], "tags": [ "agent-coordination", "agent-memory", "ai-agents", "ai-coding", "claude-code", "code-graph", "codex", "copilot" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-06-07", "addedAt": "2026-06-07", "officialLink": "https://github.com/geondongkim/geond-agent-protocol", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/geondongkim-geond-agent-protocol" }, { "slug": "getpoststack-mcp", "name": "getpoststack/mcp", "vendor": "Various", "tagline": "MCP server for the PostStack Email API — 84 tools, 5 prompts, 5 resources for AI agents.", "description": "An MCP server that wraps the PostStack Email API, exposing 84 tools, 5 prompts, and 5 resources for AI agents. It enables agents to send, receive, and manage emails programmatically through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to send, receive, or manage email through the PostStack API.", "useCases": [ "Automate email sending and receiving from AI agents", "Integrate email workflows into agentic applications", "Manage email resources like threads and attachments via MCP" ], "pros": [ "Large set of 84 tools for granular email operations", "Built on the standard MCP protocol for agent interoperability", "Written in TypeScript for type safety and modern tooling" ], "cons": [ "Requires a PostStack API key and account to use", "No community stars or activity visible on the repository", "Limited to email operations only, not a general-purpose MCP server" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-27", "addedAt": "2026-06-07", "officialLink": "https://github.com/getpoststack/mcp", "relations": { "works_in": [ "cline", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/getpoststack-mcp" }, { "slug": "hasanjahidul-git-insight-mcp", "name": "HasanJahidul/git-insight-mcp", "vendor": "Various", "tagline": "Semantic git queries via MCP. Beyond git log — answer who/what/when/why about any line, file, or branch.", "description": "A Model Context Protocol server that enables semantic queries against git history. It translates natural language questions about who changed what, when, and why into structured git log searches across lines, files, or branches.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to explore git history through conversational queries in an MCP-enabled environment", "useCases": [ "Ask which commit introduced a specific line of code", "Find all changes to a file made by a particular author", "Query git history for changes related to a feature or bug fix" ], "pros": [ "Lets you query git history with natural language instead of raw git commands", "Works with any MCP-compatible client or agent", "Lightweight TypeScript implementation" ], "cons": [ "Very early stage with only 1 star and minimal community adoption", "Limited to semantic parsing of git log output, not a full git replacement", "Requires an MCP host to be useful, not a standalone tool" ], "tags": [ "blame", "claude", "co-change", "code-ownership", "git", "github", "mcp", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-11", "addedAt": "2026-06-07", "officialLink": "https://github.com/HasanJahidul/git-insight-mcp", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hasanjahidul-git-insight-mcp" }, { "slug": "hasanjahidul-localhost-mcp", "name": "HasanJahidul/localhost-mcp", "vendor": "Various", "tagline": "MCP server: inspect, manage, kill local dev servers. Stop guessing what's on :3000.", "description": "MCP server that inspects, manages, and kills local development servers. It identifies which process is running on a given port, allowing developers to stop guessing and take action directly from their MCP-compatible tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who frequently run multiple local servers and want a quick MCP-based way to inspect and manage them.", "useCases": [ "Identify which process is using a specific port like :3000", "Kill a local dev server that is stuck or no longer needed", "List all running local servers and their ports" ], "pros": [ "Simple, focused tool for a common developer pain point", "Integrates with MCP ecosystem for seamless use in editors and IDEs", "Written in TypeScript, easy to extend or contribute to" ], "cons": [ "Very early stage with only 1 star, limited community and testing", "May not handle all edge cases like multiple processes on same port or non-standard setups", "Requires MCP-compatible client to be useful, not a standalone tool" ], "tags": [ "claude", "dev-server", "localhost", "lsof", "mcp", "model-context-protocol", "ports", "typescript" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-11", "addedAt": "2026-06-07", "officialLink": "https://github.com/HasanJahidul/localhost-mcp", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/hasanjahidul-localhost-mcp" }, { "slug": "honeylabshq-honeylabs-mcp", "name": "honeylabshq/honeylabs-mcp", "vendor": "Various", "tagline": "HoneyLabs MCP server — query 90 days of honeypot probe data from Claude, Cursor, Gemini, Cline. Free tier 500 credits/day.", "description": "HoneyLabs MCP server provides access to 90 days of honeypot probe data through the Model Context Protocol. It allows AI assistants like Claude, Cursor, Gemini, and Cline to query this data. A free tier offers 500 credits per day.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing quick access to honeypot data via MCP protocol", "useCases": [ "Query recent honeypot probe data from AI assistants", "Analyze attack patterns over a 90-day window", "Integrate threat intelligence into AI-driven workflows" ], "pros": [ "Free tier with 500 daily credits", "Supports multiple AI platforms via MCP", "Provides recent honeypot data for analysis" ], "cons": [ "Only covers 90 days of data", "Limited free credits per day", "Low community adoption (1 star)" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-07", "addedAt": "2026-06-07", "officialLink": "https://github.com/honeylabshq/honeylabs-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "cline" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/honeylabshq-honeylabs-mcp" }, { "slug": "ivy-innovation-cubelife", "name": "Ivy-Innovation/cubelife", "vendor": "Various", "tagline": "Give your AI agent a persistent pixel-art character. Node SDK, Python SDK, CLI, and MCP server.", "description": "A developer tool that links an AI agent to a persistent pixel-art character across sessions. It provides Node and Python SDKs, a command-line interface, and an MCP server for integration.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need a simple, persistent visual persona", "useCases": [ "Adding a persistent avatar to a chatbot or assistant", "Managing character state and appearance via CLI", "Integrating character persistence with agent frameworks using MCP" ], "pros": [ "Offers multiple integration paths: SDKs, CLI, MCP server", "Supports both Node.js and Python for broad compatibility" ], "cons": [ "No community adoption or stars on GitHub as of entry", "Limited to pixel-art style characters, may not fit all agent contexts" ], "tags": [ "ai-agent", "claude", "cli", "codex", "copilot", "cursor", "developer-tools", "mcp" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-04", "addedAt": "2026-06-07", "officialLink": "https://github.com/Ivy-Innovation/cubelife", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ivy-innovation-cubelife" }, { "slug": "j-east-pixel-surgeon-mcp", "name": "j-east/pixel-surgeon-mcp", "vendor": "Various", "tagline": "MCP server for AI image generation via Google Gemini Flash Image. Style presets, interactive fix, multi-shot region repair.", "description": "A Model Context Protocol server that enables AI image generation through Google Gemini Flash Image. It provides style presets, interactive fix capabilities, and multi-shot region repair for iterative image editing.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based tools that need quick, iterative image generation and repair with Gemini Flash.", "useCases": [ "Generate images with predefined style presets via Gemini Flash", "Perform interactive fixes on specific image regions", "Apply multi-shot region repair for detailed image corrections" ], "pros": [ "Leverages Gemini Flash for fast image generation", "Supports targeted region repair without full regeneration", "Integrates with MCP-compatible clients for workflow automation" ], "cons": [ "Requires a Google Gemini API key and internet access", "Limited to Gemini Flash model capabilities and constraints", "No support for other image generation models or providers" ], "tags": [], "featured": false, "tier": "curated", "stars": 4, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-06-04", "addedAt": "2026-06-07", "officialLink": "https://github.com/j-east/pixel-surgeon-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "googleapis-genai-toolbox" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/j-east-pixel-surgeon-mcp" }, { "slug": "jambozx-onlinecybertools-mcp-server", "name": "Jambozx/onlinecybertools-mcp-server", "vendor": "Various", "tagline": "MCP stdio server for onlinecybertools.com API", "description": "Jambozx/onlinecybertools-mcp-server is a JavaScript stdio server that connects the Model Context Protocol (MCP) to the onlinecybertools.com API. It allows AI agents or tools to access cybersecurity data and functions through a standardized interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based agents that need quick lookups from onlinecybertools.com", "useCases": [ "Fetching cybersecurity threat intelligence via MCP", "Automating domain or IP analysis through MCP agents", "Integrating onlinecybertools.com lookups into AI workflows" ], "pros": [ "Open source and simple JavaScript implementation", "Leverages standard MCP protocol for interoperability", "Enables direct access to a specialized cybersecurity API" ], "cons": [ "0 GitHub stars indicates minimal community adoption or validation", "Dependency on onlinecybertools.com API availability and terms", "No built-in caching or error handling beyond basic server behavior" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "lastUpdated": "2026-06-03", "addedAt": "2026-06-07", "officialLink": "https://github.com/Jambozx/onlinecybertools-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "lauriewired-ghidramcp", "mrexodia-ida-pro-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jambozx-onlinecybertools-mcp-server" }, { "slug": "jbechtel-97-dealflowpro-mcp-server", "name": "jbechtel-97/dealflowpro-mcp-server", "vendor": "Various", "tagline": "DealFlowPro MCP Server — Analyze multifamily real estate deals from Claude Code or Claude Desktop", "description": "DealFlowPro MCP Server is a Model Context Protocol server that enables Claude Code or Claude Desktop to analyze multifamily real estate deals. It exposes tools that allow Claude to process deal data and return financial metrics like cap rates and cash flow projections. The server is built in JavaScript and integrates directly with Claude's interface for natural language-driven analysis.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Real estate investors and analysts who want to underwrite multifamily deals using Claude's natural language interface", "useCases": [ "Underwrite potential multifamily acquisitions by analyzing financial inputs through Claude", "Evaluate key deal metrics such as cap rate, cash-on-cash return, and net operating income", "Perform scenario analysis on property assumptions like rent growth and vacancy rates" ], "pros": [ "Provides direct integration with Claude for conversational deal analysis", "Open source and customizable to specific underwriting criteria", "Focused specifically on multifamily real estate, reducing irrelevant complexity" ], "cons": [ "Zero stars and no community adoption, indicating early-stage development and limited testing", "Requires manual MCP configuration in Claude Code or Desktop setup", "Limited to multifamily asset class only, not applicable to other property types" ], "tags": [ "anthropic", "cap-rate", "claude", "claude-code", "claude-desktop", "commercial-real-estate", "deal-analysis", "investment-analysis" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "lastUpdated": "2026-06-06", "addedAt": "2026-06-07", "officialLink": "https://github.com/jbechtel-97/dealflowpro-mcp-server", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jbechtel-97-dealflowpro-mcp-server" }, { "slug": "jorkal-crypto-jorkal-nft-mcp", "name": "jorkal-crypto/jorkal-nft-mcp", "vendor": "Various", "tagline": "MCP server for Solana NFT market data — floor prices, listings, stats, wallet holdings. Powered by x402 micropayments.", "description": "An MCP server that provides Solana NFT market data including floor prices, listings, stats, and wallet holdings. It uses x402 micropayments for pay-as-you-go access.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building Solana NFT applications who want flexible pay-as-you-go data access via MCP", "useCases": [ "Retrieve real-time floor prices for Solana NFT collections", "Fetch wallet holdings and listing statistics", "Integrate on-chain NFT data into MCP-compatible tools" ], "pros": [ "Pay-per-use model with x402 micropayments avoids subscription fees", "Provides multiple NFT data types through a single server", "Works with any MCP-compatible client or tool" ], "cons": [ "No community traction or stars, indicating early-stage reliability concerns", "Requires payment infrastructure for x402 micropayments", "Only supports Solana blockchain NFTs" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "lastUpdated": "2026-06-01", "addedAt": "2026-06-07", "officialLink": "https://github.com/jorkal-crypto/jorkal-nft-mcp", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jorkal-crypto-jorkal-nft-mcp" }, { "slug": "justadityaraj-amazon-in-mcp", "name": "justadityaraj/amazon-in-mcp", "vendor": "Various", "tagline": "MCP server for amazon.in — cheapest in-stock, best-value picks, and price history links. No paid APIs.", "description": "An MCP server that fetches the cheapest in-stock items, best-value picks, and price history links from amazon.in. It uses no paid APIs and is written in TypeScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI tools that need Amazon India product data without API fees", "useCases": [ "Integrate Amazon India product search into AI assistants", "Retrieve price history links for cost analysis", "Find best-value deals without paid API costs" ], "pros": [ "No paid API dependencies reduce operational costs", "Lightweight TypeScript implementation for easy integration", "Focuses on practical value with cheapest and best-value picks" ], "cons": [ "Limited to amazon.in, not other regional Amazon stores", "Low community adoption with only 1 star on GitHub", "No paid APIs may limit data freshness or depth" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-24", "addedAt": "2026-06-07", "officialLink": "https://github.com/justadityaraj/amazon-in-mcp", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/justadityaraj-amazon-in-mcp" }, { "slug": "kascada-logmcp", "name": "kascada/logmcp", "vendor": "Various", "tagline": "MCP server — read-only log access for AI assistants. Debug your Linux server with AI, without giving the AI shell access.", "description": "MCP server that provides read-only access to Linux logs for AI assistants. Written in Go, it enables debugging without granting shell access to the AI.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want AI assistants to securely inspect Linux server logs without giving shell access", "useCases": [ "Give an AI assistant read-only access to server logs for debugging", "Integrate log inspection into AI-powered monitoring workflows via MCP", "Enable AI tools to analyze logs without compromising security" ], "pros": [ "Read-only design ensures the AI cannot modify system files or execute commands", "Lightweight Go implementation with minimal dependencies", "Simple MCP integration for existing AI assistant toolchains" ], "cons": [ "Only one star on GitHub indicates very limited community adoption or testing", "No mention of support for non-Linux systems or custom log formats", "Read-only access may not cover all debugging scenarios that require interactive shell commands" ], "tags": [ "claude", "debugging", "devops", "linux", "log-viewer", "logging", "mcp", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-06-04", "addedAt": "2026-06-07", "officialLink": "https://github.com/kascada/logmcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kascada-logmcp" }, { "slug": "kerbelp-metatron", "name": "kerbelp/metatron", "vendor": "Various", "tagline": "Metatron is a self-hosted system that captures a codebase's real implementation decisions — preferred patterns, rejected approaches, edge cases, internal conventions — as structure", "description": "Metatron is a self-hosted system that captures a codebase's real implementation decisions as structured priors. It serves these priors to coding agents over MCP (Model Context Protocol). The goal is to make an agent write code like a senior engineer who already knows the codebase.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Teams with established codebases who want to encode institutional knowledge for AI coding agents", "useCases": [ "Capturing preferred patterns and conventions from a codebase", "Providing coding agents with context on past design decisions", "Documenting rejected approaches and edge cases for future reference" ], "pros": [ "Self-hosted ensures codebase data stays private and under your control", "Captures nuanced decisions including edge cases and rejected approaches", "Integrates with MCP to give agents context-aware guidance" ], "cons": [ "Very early stage project with limited adoption and documentation", "Requires self-hosting and manual setup of prior capture", "The tool itself is written in Python, which may limit extensibility for non-Python environments" ], "tags": [ "agentic-ai", "agentic-workflow", "ai-agent", "ai-coding-assistant", "ai-tools", "claude-code", "cursor-editor", "devtools" ], "featured": false, "tier": "curated", "stars": 13, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-07", "addedAt": "2026-06-07", "officialLink": "https://github.com/kerbelp/metatron", "relations": { "works_in": [ "aider", "claude-code", "cline" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kerbelp-metatron" }, { "slug": "kinance-circle-agent-stack-mcp", "name": "kinance/circle-agent-stack-mcp", "vendor": "Various", "tagline": "MCP server for Circle Agent Stack — wallet management, USDC transfers, and x402 nanopayments via tool calls", "description": "This MCP server exposes Circle Agent Stack functionality through tool calls for wallet management, USDC transfers, and x402 nanopayments. It implements the Model Context Protocol to enable AI agents to interact with Circle's stablecoin and payment infrastructure. The tool is written in TypeScript and integrates as a server for MCP-compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that require programmatic access to Circle stablecoin payments and wallet operations", "useCases": [ "Manage Circle wallets programmatically via tool calls", "Transfer USDC tokens using standardized MCP operations", "Implement x402 nanopayment flows in AI agent workflows" ], "pros": [ "Standard MCP interface enables easy integration with compatible AI agents", "TypeScript codebase provides type safety and modern tooling", "Opens up Circle Agent Stack capabilities to agentic use cases" ], "cons": [ "Zero stars indicates minimal community adoption or testing", "Dependency on Circle Agent Stack availability and API limits", "Limited documentation or support as a community project" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-04", "addedAt": "2026-06-07", "officialLink": "https://github.com/kinance/circle-agent-stack-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kinance-circle-agent-stack-mcp" }, { "slug": "kirvigen-notion-private-api-mcp", "name": "kirvigen/notion-private-api-mcp", "vendor": "Various", "tagline": "Unofficial Notion MCP server via the private API (tokenv2) — full read/write, no integration token.", "description": "An unofficial MCP server for Notion that uses the private API (tokenv2) instead of the official integration token. It provides full read and write access to Notion workspaces. Built in JavaScript, it is a community project with limited adoption.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need full Notion access but cannot or prefer not to use the official API", "useCases": [ "Automate Notion page creation and updates without an official API token", "Build custom MCP tools that read and write Notion databases", "Integrate Notion with other MCP-compatible applications" ], "pros": [ "Full read and write access to Notion workspaces", "No need for an official Notion integration token", "Works with existing Notion accounts via tokenv2" ], "cons": [ "Relies on the private API which may break without notice", "Very low community adoption (1 star) suggests limited reliability", "Using tokenv2 poses security risks and is not officially supported" ], "tags": [ "ai", "anthropic", "automation", "claude", "claude-code", "claude-desktop", "cursor", "llm" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-07", "officialLink": "https://github.com/kirvigen/notion-private-api-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kirvigen-notion-private-api-mcp" }, { "slug": "krimto-labs-krimto", "name": "krimto-labs/krimto", "vendor": "Various", "tagline": "Open-source team memory layer for AI coding agents — markdown files in git, user→team→org hierarchy, cross-vendor MCP server. Apache-2.0.", "description": "Krimto is an open-source team memory layer for AI coding agents. It stores memories as markdown files in a git repository, organized by user, team, and org hierarchy. A cross-vendor MCP server lets agents read and write this shared context.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Teams using multiple AI coding agents that need shared, versioned persistent context", "useCases": [ "Persisting agent context across coding sessions in git-backed markdown", "Sharing team-specific knowledge among multiple AI coding agents", "Structuring memories with user, team, and org levels for multi-agent collaboration" ], "pros": [ "Open source with Apache-2.0 license, no vendor lock-in", "Uses git for version control and familiar workflow", "Cross-vendor MCP server works with different AI coding tools" ], "cons": [ "Requires a git workflow and repository setup", "Markdown files may become unwieldy for large or rapidly changing memories", "Early-stage project with limited adoption (5 stars)" ], "tags": [ "agent-memory", "ai-agents", "ai-memory", "claude-code", "coding-agents", "cursor", "git", "hybrid-search" ], "featured": false, "tier": "curated", "stars": 5, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-06-02", "addedAt": "2026-06-07", "officialLink": "https://github.com/krimto-labs/krimto", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [ "idosal-git-mcp", "microsoft-markitdown" ], "alternative_to": [ "upstash-context7", "topoteretes-cognee", "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/krimto-labs-krimto" }, { "slug": "krtw00-konbu", "name": "krtw00/konbu", "vendor": "Various", "tagline": "AIを中に持つスケジュール帳。予定・メモ・ToDoを同じ場所で扱える、セルフホスト可能なMCPプランナー。", "description": "Konbu is a self-hostable MCP planner that combines schedules, notes, and to-dos in one place. It uses AI internally to assist with planning and is written in Go.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want a self-hosted, AI-assisted planner with unified schedule, notes, and tasks.", "useCases": [ "Self-host a unified planner for schedules, notes, and tasks", "Integrate AI-assisted planning into a personal workflow", "Run a local MCP-compatible planner without third-party services" ], "pros": [ "Self-hosted for full data control", "Unifies three common planning formats in one tool", "Lightweight Go implementation" ], "cons": [ "No stars or community traction yet", "Limited documentation or support available", "Requires self-hosting expertise to deploy" ], "tags": [ "ai", "calendar", "claude", "cli", "cursor", "go", "markdown", "mcp" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-05-27", "addedAt": "2026-06-07", "officialLink": "https://github.com/krtw00/konbu", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/krtw00-konbu" }, { "slug": "kyanitelabs-checkyourself", "name": "KyaniteLabs/checkyourself", "vendor": "Various", "tagline": "Local-first production-readiness system for AI-built apps: read-only audit, evidence-based 0-100 score, guided fixes, learning plan, dashboard, CLI, and MCP.", "description": "A local-first tool that performs read-only audits of applications built with AI. It produces an evidence-based 0-100 production readiness score and provides guided fixes along with a learning plan. Includes a dashboard, CLI, and MCP for workflow integration.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building apps with AI who need a private, local assessment of production readiness with concrete improvement steps.", "useCases": [ "Auditing an AI-built app before production deployment", "Generating a production readiness score with actionable evidence", "Receiving guided fixes and a learning plan from audit results" ], "pros": [ "Local-first design keeps your code and data private", "Read-only audit ensures no accidental modifications", "Guided fixes and learning plan make results actionable" ], "cons": [ "Very early-stage project with minimal community adoption (1 star)", "Limited to Python runtime environment", "Niche focus on AI-built apps may not suit general projects" ], "tags": [ "ai", "ai-agents", "ai-coding-assistant", "ai-tools", "claude", "cli", "code-audit", "code-review" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-06-07", "addedAt": "2026-06-07", "officialLink": "https://github.com/KyaniteLabs/checkyourself", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kyanitelabs-checkyourself" }, { "slug": "kyanitelabs-dialectos", "name": "KyaniteLabs/DialectOS", "vendor": "Various", "tagline": "Spanish dialect localization MCP server and CLI. Translate across 25 regional variants with register control, structure preservation, and QA gates.", "description": "DialectOS is an MCP server and CLI for Spanish dialect localization. It translates text across 25 regional variants while preserving structure and controlling register, with built-in QA gates.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing precise Spanish dialect localization with automated quality checks", "useCases": [ "Localize content for specific Spanish-speaking markets", "Enforce register and tone consistency across translations", "Integrate dialect-aware translation into CI/CD pipelines" ], "pros": [ "Covers 25 regional Spanish variants", "Preserves document structure during translation", "Includes QA gates for quality control" ], "cons": [ "Very early stage with only 1 GitHub star", "Limited to Spanish dialects only", "No documented production deployments" ], "tags": [ "ai-translation", "cli", "dialect", "dialect-tools", "i18n", "latam-spanish", "localization", "localization-ai" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-06-07", "addedAt": "2026-06-07", "officialLink": "https://github.com/KyaniteLabs/DialectOS", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [ "microsoft-markitdown" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kyanitelabs-dialectos" }, { "slug": "kyanitelabs-epoch", "name": "KyaniteLabs/Epoch", "vendor": "Various", "tagline": "Time estimation MCP server for AI agents: PERT, COCOMO II, Monte Carlo, sprint forecasting, token-to-time mapping, cost estimation, and schedule risk tools.", "description": "KyaniteLabs/Epoch is an MCP server that provides time estimation capabilities for AI agents. It implements multiple estimation models including PERT, COCOMO II, Monte Carlo simulation, sprint forecasting, and token-to-time mapping for cost and schedule risk analysis.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need automated time and cost estimation for tasks or sprints", "useCases": [ "Estimating task durations for AI-driven project planning", "Forecasting sprint timelines and resource allocation", "Mapping token usage to time and cost estimates" ], "pros": [ "Supports multiple established estimation models (PERT, COCOMO II, Monte Carlo)", "Integrates with AI agents via the Model Context Protocol", "Written in TypeScript for type safety and broad compatibility" ], "cons": [ "Very early stage with only 1 star on GitHub", "Limited community adoption and documentation", "Requires setup and integration effort for custom use" ], "tags": [ "agile", "ai-agent", "ai-tools", "cocomo", "commander", "cost-estimation", "critical-path", "hono" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-06-07", "addedAt": "2026-06-07", "officialLink": "https://github.com/KyaniteLabs/Epoch", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kyanitelabs-epoch" }, { "slug": "leshchenko1979-fast-mcp-telegram", "name": "leshchenko1979/fast-mcp-telegram", "vendor": "Various", "tagline": "MCP/HTTP Telegram Gateway — Multi-tenant, MTProto User API, 8 tools, multi-user Bearer auth, global search, session ACL, Docker", "description": "Fast MCP Telegram is a developer gateway that exposes Telegram's MTProto User API through eight MCP/HTTP tools for multi-tenant messaging. It uses bearer authentication with session access control lists and runs in Docker. The tool supports global search and multi-user isolation.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Python developers building multi-account Telegram automation backends", "useCases": [ "Automate Telegram messaging workflows across multiple user accounts", "Build custom Telegram bots or integrations with session-level ACL", "Query and search Telegram chats programmatically via a unified HTTP gateway" ], "pros": [ "Multi-tenant architecture with bearer auth suits team deployments", "Docker support simplifies setup and scaling", "Global search capability across sessions adds practical utility" ], "cons": [ "Small community with only 46 GitHub stars limits support", "MTProto User API usage may risk account restrictions", "No built-in web UI means managing via raw API calls" ], "tags": [ "agent", "agentic-ai", "automation", "claude", "cursor", "cursor-ai", "docker", "fastmcp" ], "featured": false, "tier": "curated", "stars": 46, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-07", "addedAt": "2026-06-07", "officialLink": "https://github.com/leshchenko1979/fast-mcp-telegram", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [ "lharries-whatsapp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/leshchenko1979-fast-mcp-telegram" }, { "slug": "lightspeedplusone-invovate-mcp-server", "name": "LightSpeedPlusOne/invovate-mcp-server", "vendor": "Various", "tagline": "MCP server for the Invovate invoice API — generate PDF, JSON & UBL 2.1 invoices in 11 languages from AI agents (Claude Desktop, Cursor, Windsurf).", "description": "This MCP server connects AI agents like Claude Desktop to the Invovate invoice API. It generates invoices in PDF, JSON, and UBL 2.1 formats. It supports 11 languages for invoice generation.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers integrating invoice generation into AI workflows", "useCases": [ "Generate PDF invoices from a chat conversation", "Create UBL 2.1 invoices for e-invoicing compliance", "Automate invoice creation in multiple languages via Cursor or Windsurf" ], "pros": [ "Supports 11 languages for international use", "Outputs PDF, JSON, and UBL 2.1 formats", "Integrates with popular AI agents via the Model Context Protocol" ], "cons": [ "Requires internet and an Invovate API key", "Limited to invoice generation, not a full accounting solution", "Repository has no stars, indicating early-stage adoption or limited community" ], "tags": [ "ai-agents", "claude", "cursor", "e-invoicing", "invoice", "invoice-api", "json-to-pdf", "mcp" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-06-03", "addedAt": "2026-06-07", "officialLink": "https://github.com/LightSpeedPlusOne/invovate-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/lightspeedplusone-invovate-mcp-server" }, { "slug": "liuboacean-agent-comm-hub", "name": "liuboacean/agent-comm-hub", "vendor": "Various", "tagline": "Multi-agent real-time communication & task scheduling infrastructure based on MCP + SSE", "description": "A Python-based infrastructure for real-time communication and task scheduling among multiple AI agents, built on the Model Context Protocol (MCP) and Server-Sent Events (SSE). It provides a hub that coordinates agent interactions and message routing.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with multi-agent coordination using MCP and SSE in Python", "useCases": [ "Orchestrating multi-agent workflows with real-time message passing", "Scheduling and dispatching tasks across distributed agent instances", "Building a central communication bus for MCP-compatible agents" ], "pros": [ "Leverages standard protocols (MCP, SSE) for interoperability", "Lightweight Python implementation suitable for prototyping", "Enables real-time coordination without polling" ], "cons": [ "Very early stage with only 1 star and minimal community adoption", "Limited documentation and examples beyond the repository", "Unclear production readiness or scalability characteristics" ], "tags": [ "agent", "communication", "evolution-engine", "infrastructure", "mcp", "memory-sharing", "multi-agent", "rbac" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-07", "officialLink": "https://github.com/liuboacean/agent-comm-hub", "relations": { "works_in": [ "cline", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/liuboacean-agent-comm-hub" }, { "slug": "loicfontaine-max-qorami-sdk", "name": "loicfontaine-max/qorami-sdk", "vendor": "Various", "tagline": "Official Qorami SDK — JS/Python clients, tool schemas and an MCP server so AI agents check email before sending. https://qorami.fr", "description": "An SDK providing JavaScript and Python client libraries, tool schemas, and an MCP server for AI agents to verify email content before sending. Integrates with the Qorami service to enable pre-send email checks within agent workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers prototyping or building AI agents that need to validate email content before sending.", "useCases": [ "Embedding email content validation into an AI agent's action pipeline.", "Building an agent that reviews draft emails for compliance or accuracy before dispatch.", "Connecting agent tools to an MCP server that enforces email sending policies." ], "pros": [ "Provides ready-to-use clients in both JavaScript and Python.", "Includes an MCP server, making integration with agent frameworks straightforward.", "Exposes clear tool schemas for defining email-checking capabilities." ], "cons": [ "Very low community adoption (1 GitHub star), suggesting limited testing or support.", "Dependency on the Qorami service, which may have its own availability or cost constraints.", "Documentation and examples appear sparse based on current repository state." ], "tags": [ "agent-tools", "ai-agents", "ai-safety", "anthropic", "email", "guardrails", "llm", "mcp" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-02", "addedAt": "2026-06-07", "officialLink": "https://github.com/loicfontaine-max/qorami-sdk/tree/main/mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [ "elie222-inbox-zero" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/loicfontaine-max-qorami-sdk" }, { "slug": "michalperni11-gif-secfinapi-mcp", "name": "michalperni11-gif/secfinapi-mcp", "vendor": "Various", "tagline": "MCP server for SECfinAPI — standardized SEC EDGAR financial data (income statements, balance sheets, cash flow, 40+ ratios) for Claude, Cursor and other AI assistants.", "description": "MCP server that exposes SEC EDGAR financial data through the SECfinAPI. It provides income statements, balance sheets, cash flow statements, and over 40 financial ratios for use with Claude, Cursor, and other AI assistants.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need access to SEC financial data.", "useCases": [ "Fetching standardized financial statements from SEC filings", "Calculating financial ratios for company analysis", "Integrating SEC data into AI assistant workflows" ], "pros": [ "Offers a wide range of financial data points and ratios", "Works with multiple AI assistants including Claude and Cursor", "Standardizes complex SEC EDGAR data for easier consumption" ], "cons": [ "Zero GitHub stars suggests limited adoption or early stage", "Requires running the server, adding setup overhead", "JavaScript only, may not suit teams using other languages" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "lastUpdated": "2026-06-03", "addedAt": "2026-06-07", "officialLink": "https://github.com/michalperni11-gif/secfinapi-mcp", "relations": { "works_in": [ "claude-code", "continue", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/michalperni11-gif-secfinapi-mcp" }, { "slug": "mithun4elp-briefkit-mcp-server", "name": "mithun4elp/briefkit-mcp-server", "vendor": "Various", "tagline": "BriefKit — Engineer-grade specs for AI-built SaaS. 14 files. $9. briefkit.online", "description": "A set of 14 structured specification files for building SaaS applications with AI. These engineer-grade specs are available for $9 at briefkit.online and can be integrated via an MCP server to guide AI code generation.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-assisted SaaS products who want structured specifications", "useCases": [ "Generating code for SaaS features from structured specifications", "Integrating specification-driven development into AI coding assistants", "Standardizing project requirements for AI-assisted SaaS builds" ], "pros": [ "Provides structured, engineer-grade specs that reduce ambiguity for AI", "Offers a ready-to-use framework for common SaaS patterns", "Cost-effective at $9 for a comprehensive set of 14 files" ], "cons": [ "New project with 0 stars, limited community validation", "Requires MCP server setup and compatible AI tools", "Scope limited to SaaS applications, not general-purpose" ], "tags": [ "ai-build-tools", "briefkit", "cursor", "lovable", "lovable-dev", "mcp", "mcp-server", "saas" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-16", "addedAt": "2026-06-07", "officialLink": "https://github.com/mithun4elp/briefkit-mcp-server", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mithun4elp-briefkit-mcp-server" }, { "slug": "mkirovbg-scribefy-mcp", "name": "MKirovBG/scribefy-mcp", "vendor": "Various", "tagline": "Official MCP server for Scribefy — search YouTube and extract clean, timestamped transcripts in Claude, Cursor, Windsurf, or any MCP client.", "description": "MCP server that integrates with Scribefy to search YouTube and extract clean, timestamped transcripts. Compatible with Claude, Cursor, Windsurf or any MCP client. Built in JavaScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need structured YouTube transcript data", "useCases": [ "Searching YouTube for specific video transcripts", "Extracting timestamped transcripts for analysis", "Integrating YouTube transcript data into AI assistants via MCP" ], "pros": [ "Provides clean transcripts with timestamps", "Works across multiple MCP clients (Claude, Cursor, Windsurf)", "Leverages Scribefy's YouTube search capabilities" ], "cons": [ "Relatively new project with few users or stars", "Dependent on Scribefy platform for functionality", "Only supports YouTube video transcripts" ], "tags": [ "ai-agents", "claude", "cursor", "mcp", "model-context-protocol", "transcript", "windsurf", "youtube" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-06-02", "addedAt": "2026-06-07", "officialLink": "https://github.com/MKirovBG/scribefy-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "klavis-ai-youtube" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mkirovbg-scribefy-mcp" }, { "slug": "modus-agendi-managed-agent-control-mcp", "name": "modus-agendi/managed-agent-control-mcp", "vendor": "Various", "tagline": "Start, observe, and interact with Claude Managed Agents from any MCP client (Claude.ai, Claude Code, …). Pluggable auth (bearer/OIDC/Cognito); runs on stdio, Docker, or AWS Lambda.", "description": "This tool provides an MCP server to start, observe, and interact with Claude Managed Agents from any MCP client such as Claude.ai or Claude Code. It supports pluggable authentication via bearer token, OIDC, or Cognito and can run on stdio, Docker, or AWS Lambda.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to automate and observe Claude Managed Agents from MCP-compatible environments", "useCases": [ "Programmatically launch and monitor Claude Managed Agents from custom MCP clients", "Integrate agent lifecycle control into existing CI/CD or automation pipelines", "Deploy agent management endpoints on serverless infrastructure using AWS Lambda" ], "pros": [ "Pluggable authentication supports bearer, OIDC, and Cognito for flexible security", "Runs on multiple deployment targets (stdio, Docker, Lambda) to match infrastructure", "Works with any MCP client, including Claude.ai and Claude Code" ], "cons": [ "Limited to Claude Managed Agents, not a general-purpose agent control tool", "Relatively new with no stars, indicating low community adoption or maturity", "Requires MCP client setup and understanding of the MCP protocol" ], "tags": [ "agentic", "agents", "ai-agents", "anthropic", "aws-lambda", "claude", "claude-ai", "fastmcp" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-03", "addedAt": "2026-06-07", "officialLink": "https://github.com/modus-agendi/managed-agent-control-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/modus-agendi-managed-agent-control-mcp" }, { "slug": "mogacode-ma-elementor-mcp-agent", "name": "Mogacode-ma/elementor-mcp-agent", "vendor": "Various", "tagline": "Agency-grade MCP server for WordPress Elementor — multi-site management, safe Elementor data editing, template export/import, version tracking. MIT.", "description": "An MCP server that enables AI agents to manage multiple WordPress Elementor sites. It provides safe editing of Elementor data, template export/import, and version tracking. Built with TypeScript and licensed under MIT.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents for WordPress Elementor site management", "useCases": [ "Managing Elementor templates across multiple WordPress sites", "Automating safe Elementor data edits via AI agents", "Exporting and importing Elementor templates with version control" ], "pros": [ "Supports multi-site management for Elementor", "Provides safe editing of Elementor data", "Includes version tracking for templates" ], "cons": [ "New project with no community adoption yet", "Limited to Elementor WordPress sites", "Requires an MCP-compatible client to use" ], "tags": [ "agency", "anthropic", "claude", "elementor", "mcp", "model-context-protocol", "multi-site", "typescript" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "lastUpdated": "2026-06-07", "addedAt": "2026-06-07", "officialLink": "https://github.com/Mogacode-ma/elementor-mcp-agent", "relations": { "works_in": [ "cline", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mogacode-ma-elementor-mcp-agent" }, { "slug": "mogacode-ma-infomaniak-mcp-agent", "name": "Mogacode-ma/infomaniak-mcp-agent", "vendor": "Various", "tagline": "Full unofficial agentic Infomaniak MCP server — guided automation of web hosting, mail, kDrive, domains and DNS.", "description": "An unofficial MCP server that automates Infomaniak services including web hosting, email, kDrive, domains, and DNS. Built in TypeScript, it exposes these operations through the Model Context Protocol for agentic workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to automate Infomaniak services through an MCP agent and are comfortable with unofficial tools", "useCases": [ "Automate domain and DNS record management for Infomaniak accounts", "Provision and configure web hosting and email services programmatically", "Integrate kDrive file operations into agent-driven pipelines" ], "pros": [ "Covers a broad range of Infomaniak services in one tool", "TypeScript codebase is accessible for developers familiar with the language", "Enables agentic automation without manual API calls" ], "cons": [ "Unofficial and not maintained by Infomaniak, so reliability may vary", "Very low community adoption (1 star) suggests limited testing or support", "No documentation or usage examples provided in the repository" ], "tags": [ "anthropic", "claude", "dns", "hosting", "infomaniak", "kdrive", "mcp", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-07", "addedAt": "2026-06-07", "officialLink": "https://github.com/Mogacode-ma/infomaniak-mcp-agent", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mogacode-ma-infomaniak-mcp-agent" }, { "slug": "mohitbadwal-ringback", "name": "mohitbadwal/ringback", "vendor": "Various", "tagline": "Let your AI agent call your phone and talk to you — MCP servers for live, interruptible voice calls + tiered alerts, using free self-hosted pieces (pjsua2 + whisper.cpp + Linphone)", "description": "This tool provides MCP servers that let an AI agent call your phone for live, interruptible voice conversations. It uses free self-hosted components (pjsua2, whisper.cpp, Linphone) and requires no paid telephony or extra API keys. Tiered alerts allow escalating urgency levels.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a free, self-hosted way for their AI agent to make live phone calls.", "useCases": [ "Enable your AI assistant to call you with time-sensitive alerts", "Create interruptible voice interactions for real-time agent feedback", "Build a self-hosted voice notification system without recurring costs" ], "pros": [ "Fully self-hosted and free with no paid telephony dependencies", "Interruptible calls allow natural back-and-forth communication", "Uses well-known open-source components (whisper.cpp, Linphone)" ], "cons": [ "Requires significant setup and maintenance of multiple self-hosted services", "Low GitHub stars suggest limited community support and maturing codebase", "Voice call quality depends on your own SIP infrastructure and hardware" ], "tags": [ "ai-agents", "anthropic", "claude", "llm", "macos", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-06-06", "addedAt": "2026-06-07", "officialLink": "https://github.com/mohitbadwal/ringback", "relations": { "works_in": [], "uses": [ "whisper" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mohitbadwal-ringback" }, { "slug": "narekmalk-safedb-mcp", "name": "narekmalk/safedb-mcp", "vendor": "Various", "tagline": "Secure MCP server for safe, read-only DB access by AI agents, with SQL guardrails, table allowlists, PII masking, and audit logs", "description": "A secure MCP server that enables AI agents to query databases with read-only access. It enforces SQL guardrails, table allowlists, PII masking, and maintains audit logs to prevent data leaks.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need safe, auditable database querying.", "useCases": [ "Give AI agents safe read-only database access", "Enforce query restrictions and PII redaction", "Audit all database queries made by agents" ], "pros": [ "Prevents accidental writes or destructive queries", "Allows fine-grained control over which tables can be accessed", "Adds PII masking to protect sensitive data" ], "cons": [ "Limited adoption with only 6 GitHub stars", "Requires setup and configuration of guardrails", "May add latency to AI agent workflows" ], "tags": [], "featured": false, "tier": "curated", "stars": 6, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-27", "addedAt": "2026-06-07", "officialLink": "https://github.com/narekmalk/safedb-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/narekmalk-safedb-mcp" }, { "slug": "navinagrawal-mcp-broker", "name": "NavinAgrawal/mcp-broker", "vendor": "Various", "tagline": "Local MCP broker that exposes one compact MCP entry for MCP clients while routing to many configured upstream servers.", "description": "A local MCP broker written in Python that exposes one compact MCP entry point for MCP clients. It routes requests to many configured upstream MCP servers, hiding their complexity behind a single endpoint.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to unify multiple local MCP servers under a single client endpoint", "useCases": [ "Aggregating multiple MCP servers behind a unified interface for client applications", "Simplifying MCP client setup by reducing the number of endpoints to configure", "Testing or developing custom MCP routing logic in a local environment" ], "pros": [ "Reduces client configuration overhead by presenting a single MCP endpoint", "Open source and written in Python, making it easy to audit or modify", "Lightweight and purpose-built for local MCP routing" ], "cons": [ "Very low community adoption (1 star) suggests limited testing and support", "Requires manual setup and configuration of upstream server mappings", "No built-in caching or resilience features visible from the description" ], "tags": [ "ai-tools", "claude", "codex", "developer-tools", "gemini-cli", "mcp", "mcp-client", "mcp-gateway" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-07", "addedAt": "2026-06-07", "officialLink": "https://github.com/NavinAgrawal/mcp-broker", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/navinagrawal-mcp-broker" }, { "slug": "nikhilnt1234-tokenburnrate", "name": "nikhilnt1234/TokenBurnRate", "vendor": "Various", "tagline": "[](https://glama.ai/mcp/servers/nikhilnt1234/TokenBurnRate) 📇 🏠 - Track LLM token costs across Claude, GPT and Gemini. MCP server + CLI with optimization hints and $ savings esti", "description": "TokenBurnRate tracks LLM token costs across models from Claude, GPT, and Gemini. It delivers an MCP server and a CLI, with optimization hints and estimated cost savings.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to monitor and optimize LLM API costs across multiple providers", "useCases": [ "Monitor token spend across multiple LLM providers in real time", "Identify cost-saving opportunities from usage patterns", "Integrate cost tracking into development workflows via MCP or CLI" ], "pros": [ "Supports three major LLM providers (Claude, GPT, Gemini)", "Provides both an MCP server and a CLI for flexible integration", "Offers actionable optimization hints and cost savings estimates" ], "cons": [ "Low community adoption (0 GitHub stars) indicates limited validation", "Focused solely on cost tracking, no usage management or budgeting features", "Requires manual setup and configuration for each provider" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-03", "addedAt": "2026-06-07", "officialLink": "https://github.com/nikhilnt1234/TokenBurnRate", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/nikhilnt1234-tokenburnrate" }, { "slug": "ober37-ac-infinity-mcp", "name": "ober37/ac-infinity-mcp", "vendor": "Various", "tagline": "MCP server for AC Infinity grow controllers. AI agent integration for climate monitoring, port control, and grow automation — works with Claude, Cursor, and any MCP client.", "description": "An MCP server that connects AI agents to AC Infinity grow controllers. It enables climate monitoring, port control, and grow automation through any MCP client such as Claude or Cursor. The server translates natural language commands into actions for AC Infinity hardware.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Growers and developers automating indoor cultivation environments", "useCases": [ "Automating grow tent climate adjustments via AI agents", "Monitoring temperature and humidity with LLM-based dashboards", "Controlling AC Infinity ports through natural language commands" ], "pros": [ "Lightweight Python server that works with popular MCP clients", "Enables natural language control of physical grow hardware", "Open source and easy to extend or customize" ], "cons": [ "Low star count indicates limited community adoption and testing", "Requires compatible AC Infinity hardware and MCP client setup", "Depends on the evolving MCP protocol for stability" ], "tags": [ "ac-infinity", "ai-agents", "cannabis", "claude", "fastmcp", "grow", "grow-automation", "growtent" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-07", "addedAt": "2026-06-07", "officialLink": "https://github.com/ober37/ac-infinity-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ober37-ac-infinity-mcp" }, { "slug": "openaccountants-openaccountants", "name": "openaccountants/openaccountants", "vendor": "Various", "tagline": "Open-source tax & accounting skills for AI agents. 1,000+ research-verified skills across 192 jurisdictions — 130+ countries plus every US state. Accountant-verified versions via t", "description": "Openaccountants is an open-source repository of tax and accounting knowledge designed for AI agents. It provides over 1,000 research-verified skills covering 192 jurisdictions, including 130+ countries and every U.S. state. Users can upload these skills to Claude or ChatGPT, or connect via the MCP connector for accountant-verified versions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents for global tax and accounting automation.", "useCases": [ "Enable AI agents to perform tax calculations across multiple countries and states.", "Provide accurate accounting guidance for international compliance scenarios.", "Integrate verified tax rules into custom AI workflows or chatbot applications." ], "pros": [ "Covers 192 jurisdictions, offering broad global tax and accounting knowledge.", "Open-source and free to use, allowing customization and community contributions.", "Accountant-verified versions available via the MCP connector for higher reliability." ], "cons": [ "Accountant-verified versions require the MCP connector, adding complexity.", "Limited to the tax and accounting domain, not general-purpose AI assistance.", "Integration may require familiarity with MCP protocol and AI agent frameworks." ], "tags": [ "accountant", "accounting", "ai", "bookkeeper", "chatgpt", "claude", "compliance", "cpa" ], "featured": false, "tier": "curated", "stars": 155, "language": [ "Python" ], "license": "AGPL-3.0", "lastUpdated": "2026-06-07", "addedAt": "2026-06-07", "officialLink": "https://github.com/openaccountants/openaccountants", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "skill-seekers-skill-seekers" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/openaccountants-openaccountants" }, { "slug": "orbiads-orbiads-gam-mcp", "name": "OrbiAds/Orbiads-GAM-MCP", "vendor": "Various", "tagline": "Google Ad Manager MCP hosted - AdOps Skills for Claude, Gemini, OpenAI - Inventory, trafficking, forecast & reporting with natural language", "description": "Google Ad Manager MCP hosted service that connects Google Ad Manager to Claude, Gemini, and OpenAI. It enables AdOps tasks like inventory management, trafficking, forecasting, and reporting using natural language. The tool relies on the Model Context Protocol to translate natural language requests into Ad Manager API calls.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "AdOps professionals or small teams who want to manage Google Ad Manager via natural language instead of API coding", "useCases": [ "Query ad inventory and forecast availability with natural language", "Traffic ad campaigns and manage line items through conversational prompts", "Generate AdOps reports without writing API code" ], "pros": [ "Removes the need to manually construct Google Ad Manager API requests", "Works with multiple popular AI assistants (Claude, Gemini, OpenAI)", "Hosted service reduces setup and maintenance overhead" ], "cons": [ "Only one GitHub star indicates very low community adoption or early stage", "Dependence on hosted service may raise data privacy and latency concerns", "Limited to Google Ad Manager; no other ad platforms supported" ], "tags": [ "ad-manager", "adops", "adops-tools", "gam", "google-ad-manager", "mcp-server", "mcp-tools", "trafficking" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-07", "addedAt": "2026-06-07", "officialLink": "https://github.com/OrbiAds/Orbiads-GAM-MCP", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/orbiads-orbiads-gam-mcp" }, { "slug": "osamahassouna-docs-hub", "name": "OsamaHassouna/docs-hub", "vendor": "Various", "tagline": "Engineering hub for production-grade specs. First guide: HTML Email Playbook + MCP server / CLI that teaches AI clients (Claude Desktop, Cursor) to write email that actually render", "description": "Docs-hub is an engineering repository for production-grade specifications, starting with an HTML Email Playbook. It includes an MCP server and CLI that teach AI clients like Claude Desktop and Cursor to generate emails that render correctly in Outlook and Gmail. The project is written in MDX and intended as a living reference for reliable email development.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building HTML emails for marketing or transactional use who want AI assistants to produce reliable, cross-client code.", "useCases": [ "Generate HTML emails with guaranteed rendering in Outlook and Gmail", "Equip AI coding assistants with production email specs via MCP protocol", "Reference a tested playbook when building transactional or marketing email templates" ], "pros": [ "Provides a concrete, tested playbook for email rendering across difficult clients", "Includes a server and CLI that directly guide AI tools to output reliable code", "Focuses on production-grade specs, reducing trial and error for developers" ], "cons": [ "Currently only one guide (HTML Email Playbook) is available", "Relies on the MCP protocol, which may not be supported by all AI tools", "Zero stars and no community validation indicate an early-stage project" ], "tags": [ "ai-tools", "claude", "codex", "cursor", "email", "gmail", "html-email", "mcp" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "MDX" ], "license": "MIT", "lastUpdated": "2026-06-02", "addedAt": "2026-06-07", "officialLink": "https://github.com/OsamaHassouna/docs-hub", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/osamahassouna-docs-hub" }, { "slug": "pantani-tdmcp", "name": "Pantani/tdmcp", "vendor": "Various", "tagline": "The TouchDesigner MCP server — describe a visual to Claude, Cursor or Codex and it builds a real, playable node network (audio-reactive, generative, particle, 3D, feedback) with li", "description": "The TouchDesigner MCP server lets you describe a visual effect in natural language to Claude, Cursor, or Codex and it generates a playable node network with live controls, MIDI/OSC/DMX support, error checking, and preview. It is built in TypeScript and integrates with AI coding assistants to automate TouchDesigner patching.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and artists who want to rapidly prototype TouchDesigner projects using natural language", "useCases": [ "Generating audio-reactive visuals from text prompts", "Building interactive 3D particle systems with live knobs", "Creating MIDI/OSC/DMX controlled node networks" ], "pros": [ "Generates playable TouchDesigner networks from natural language descriptions", "Includes automatic error checking and preview of the generated work", "Supports multiple control protocols (MIDI, OSC, DMX) out of the box" ], "cons": [ "Requires TouchDesigner installed and running to use the generated networks", "Output quality depends on the specificity and clarity of the prompt", "Limited to node networks within TouchDesigner's existing capabilities" ], "tags": [ "ai", "audio-reactive", "claude", "creative-coding", "cursor", "derivative", "generative-art", "glsl" ], "featured": false, "tier": "curated", "stars": 5, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-06", "addedAt": "2026-06-07", "officialLink": "https://github.com/Pantani/tdmcp", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pantani-tdmcp" }, { "slug": "pantrist-dev-pantrist-mcp", "name": "Pantrist-dev/pantrist-mcp", "vendor": "Various", "tagline": "Model Context Protocol server wrapping the Pantrist REST API", "description": "Pantrist MCP is a Model Context Protocol server that wraps the Pantrist REST API, enabling AI assistants to interact with Pantrist inventory and supply chain data through standardized tool calls. It translates MCP requests into authenticated API operations, allowing agents to query and manage inventory items, orders, and related resources.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need to interact with Pantrist inventory and supply chain data", "useCases": [ "Query inventory levels and item details via natural language", "Create or update supply chain orders through an AI assistant", "Automate inventory reporting and alerts with agent workflows" ], "pros": [ "Provides a standardized MCP interface for Pantrist API access", "Written in TypeScript for type safety and easy integration", "Enables AI agents to perform real inventory operations without custom code" ], "cons": [ "Requires a Pantrist account and API credentials to function", "Limited to the capabilities exposed by the Pantrist REST API", "No active community or usage data given zero stars and no updates" ], "tags": [ "anthropic", "claude", "mcp", "mcp-server", "model-context-protocol", "nodejs", "oauth", "pantrist" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-07", "addedAt": "2026-06-07", "officialLink": "https://github.com/Pantrist-dev/pantrist-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pantrist-dev-pantrist-mcp" }, { "slug": "pathrule-mcp", "name": "pathrule/mcp", "vendor": "Various", "tagline": "Pathrule Remote MCP server", "description": "A remote server implementation for the Model Context Protocol. It enables developers to host and access MCP tools and resources over a network. Built with JavaScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to serve or consume MCP endpoints remotely", "useCases": [ "Hosting MCP tools for remote AI agents", "Connecting local development tools to remote MCP endpoints", "Exposing MCP resources across distributed environments" ], "pros": [ "Enables remote MCP access without requiring local dependencies", "JavaScript-based for easy integration with existing Node.js projects", "Lightweight focus on MCP remote functionality" ], "cons": [ "Zero stars on GitHub suggests very early stage or low adoption", "Limited public information available about features and usage", "May lack documentation and community support for production use" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "Apache-2.0", "lastUpdated": "2026-06-06", "addedAt": "2026-06-07", "officialLink": "https://github.com/pathrule/mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [ "claude-code", "cline", "continue" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pathrule-mcp" }, { "slug": "peanutsplash-chelaile-mcp", "name": "PeanutSplash/chelaile-mcp", "vendor": "Various", "tagline": "MCP server for 车来了 realtime bus data", "description": "An MCP server that provides realtime bus data from the 车来了 (CheLaiLe) service. It exposes transit information through the Model Context Protocol for use by MCP-compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based assistants or tools that need live bus data for Chinese cities.", "useCases": [ "Query live bus arrival times for a specific route or stop", "Integrate realtime transit data into an AI assistant or chat interface", "Build a location-aware tool that checks bus schedules without leaving the conversation" ], "pros": [ "Leverages a popular realtime transit data source (车来了)", "Simple MCP protocol integration for existing MCP clients", "Lightweight TypeScript implementation with minimal dependencies" ], "cons": [ "Depends on third-party 车来了 API availability and API key", "Limited to Chinese transit data only", "Low community adoption (7 stars) may mean fewer examples or support" ], "tags": [], "featured": false, "tier": "curated", "stars": 7, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-07", "officialLink": "https://github.com/PeanutSplash/chelaile-mcp", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/peanutsplash-chelaile-mcp" }, { "slug": "perceptdot-percept", "name": "perceptdot/percept", "vendor": "Various", "tagline": "[](https://glama.ai/mcp/servers/perceptdot/percept) 📇 ☁️ 🏠 - AI-powered observability platform for agents. Auto-discovers and recommends MCP servers; built-in connectors for GA4,", "description": "An observability platform for AI agents that automatically discovers and recommends MCP servers. It includes built-in connectors for Google Analytics 4 (GA4) to monitor agent behavior.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents who need basic observability with GA4 and MCP server discovery", "useCases": [ "Monitor agent performance and behavior in production", "Auto-discover available MCP servers for agent integration", "Track agent interactions with GA4 analytics" ], "pros": [ "Automated discovery of MCP servers reduces manual configuration", "Built-in GA4 connector enables standard web analytics for agents", "Open-source codebase allows customization and self-hosting" ], "cons": [ "Very low community adoption (0 stars) suggests early-stage or limited trust", "Only documented connector is GA4, limiting integration options", "No clear documentation on agent types or supported observability metrics" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "HTML" ], "license": "MIT", "lastUpdated": "2026-06-07", "addedAt": "2026-06-07", "officialLink": "https://github.com/perceptdot/percept", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/perceptdot-percept" }, { "slug": "ppcvote-misp-mcp-server", "name": "ppcvote/misp-mcp-server", "vendor": "Various", "tagline": "MISP (Malware Information Sharing Platform) MCP server with built-in prompt injection defense via prompt-defense-audit", "description": "A TypeScript-based MCP server that connects to MISP (Malware Information Sharing Platform) for threat intelligence operations. It includes built-in prompt injection defense via the prompt-defense-audit library.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to query MISP threat intelligence with added security against prompt injection", "useCases": [ "Query MISP events and attributes from an MCP client", "Automate threat intelligence workflows with MISP data", "Integrate MISP into AI agent pipelines with injection protection" ], "pros": [ "Provides direct MISP access through the MCP protocol", "Includes prompt injection defense for safer AI interactions", "Written in TypeScript for type safety and maintainability" ], "cons": [ "Very early stage with only 1 GitHub star", "Limited community adoption and documentation", "Requires a running MISP instance to be useful" ], "tags": [ "ai-security", "claude", "cybersecurity", "llm-security", "mcp", "misp", "model-context-protocol", "prompt-injection" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-07", "officialLink": "https://github.com/ppcvote/misp-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "lauriewired-ghidramcp", "mrexodia-ida-pro-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ppcvote-misp-mcp-server" }, { "slug": "pubspro-pubmed-search", "name": "pubspro/pubmed-search", "vendor": "Various", "tagline": "MCP server for PubMed search and literature summarization", "description": "An MCP server that provides programmatic access to PubMed for searching biomedical literature and generating summaries. It is built in Python and operates as a tool for integrating PubMed data into AI workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-driven literature search or summarization tools that need structured access to PubMed", "useCases": [ "Search PubMed for relevant biomedical articles programmatically", "Summarize literature results for quick review", "Integrate PubMed searches into AI agents or automation pipelines" ], "pros": [ "Direct access to PubMed's vast biomedical literature database", "Python-based, easy to extend or customize", "Open source with no vendor lock-in" ], "cons": [ "Zero stars on GitHub indicates very early stage or limited adoption", "Requires an MCP-compatible client to use", "Documentation and community support likely minimal" ], "tags": [ "ai-agent", "biomedical", "claude", "healthcare", "literature-search", "mcp", "medical-writing", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-30", "addedAt": "2026-06-07", "officialLink": "https://github.com/pubspro/pubmed-search", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pubspro-pubmed-search" }, { "slug": "pucilpet-crawlgraph-mcp", "name": "pucilpet/crawlgraph-mcp", "vendor": "Various", "tagline": "MCP server for the CrawlGraph backlink-intelligence API (Common Crawl webgraph). Backlink lookups + competitor gap analysis for Claude, Cursor, Cline, and any MCP client.", "description": "An MCP server that wraps the CrawlGraph backlink-intelligence API, which is built on Common Crawl webgraph data. It enables backlink lookups and competitor gap analysis from within MCP-compatible clients like Claude, Cursor, and Cline.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building SEO tools or AI agents that need backlink data via MCP", "useCases": [ "Retrieve backlinks for a given domain to analyze its link profile", "Identify competitor backlink gaps by comparing two domains", "Integrate backlink data into AI-assisted SEO or content workflows" ], "pros": [ "Leverages the large-scale Common Crawl dataset for broad backlink coverage", "Works with popular MCP clients for seamless integration", "Open source and written in TypeScript for easy customization" ], "cons": [ "Depends on the CrawlGraph API, which may have rate limits or require a key", "No stars or community activity yet, indicating early-stage project", "Limited to data available in Common Crawl, which may not be fully up-to-date" ], "tags": [ "ahrefs-alternative", "backlinks", "claude", "common-crawl", "cursor", "gap-analysis", "mcp", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-07", "officialLink": "https://github.com/pucilpet/crawlgraph-mcp", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "ahrefs" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pucilpet-crawlgraph-mcp" }, { "slug": "pushtodisplay-cli", "name": "pushtodisplay/cli", "vendor": "Various", "tagline": "cli & mcp-server package for Push To Display", "description": "A TypeScript CLI and MCP server package for interacting with Push To Display. It provides command-line tools and a Model Context Protocol server to push content to displays.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building automated display workflows or integrating display management into AI agent systems", "useCases": [ "Automating display updates from CI/CD pipelines", "Integrating display content management into AI agent workflows via MCP", "Scripting bulk content pushes to multiple displays" ], "pros": [ "Supports both CLI and MCP server for flexible integration", "Written in TypeScript for type safety and ease of contribution", "Lightweight with no external runtime dependencies beyond Node.js" ], "cons": [ "Zero GitHub stars indicates very early stage or limited adoption", "No documentation or examples provided in the repository", "Requires a Push To Display service or hardware to be useful" ], "tags": [ "android", "api", "board", "cli", "device", "ios", "mcp-server", "push" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-05", "addedAt": "2026-06-07", "officialLink": "https://github.com/pushtodisplay/cli", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pushtodisplay-cli" }, { "slug": "rbmuller-scherlok", "name": "rbmuller/scherlok", "vendor": "Various", "tagline": "A detective for your data. Zero-config data quality monitoring — works with dbt, Postgres, BigQuery, Snowflake. No YAML.", "description": "A zero-configuration data quality monitoring tool for SQL-based data warehouses. It connects to dbt, Postgres, BigQuery, or Snowflake and automatically detects anomalies without requiring YAML configuration.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and data engineers using dbt who need quick, automated data quality checks without manual configuration.", "useCases": [ "Detect unexpected schema changes in production tables", "Monitor data freshness and row count anomalies", "Automatically flag outlier values in numeric columns" ], "pros": [ "No configuration files required", "Integrates directly with dbt and major data warehouses", "Lightweight Python-based setup" ], "cons": [ "Limited customization of monitoring rules", "Only supports SQL-based warehouses", "Small community and low star count" ], "tags": [ "anomaly-detection", "bigquery", "claude", "cli", "data-engineering", "data-observability", "data-quality", "dbt" ], "featured": false, "tier": "curated", "stars": 6, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-05", "addedAt": "2026-06-07", "officialLink": "https://github.com/rbmuller/scherlok", "relations": { "works_in": [ "continue", "aider", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/rbmuller-scherlok" }, { "slug": "reflex-search-reflex", "name": "reflex-search/reflex", "vendor": "Various", "tagline": "Reflex - The instant, code-aware local search engine.", "description": "Reflex is a local search engine written in Rust that indexes code and provides instant search results. It works by scanning local repositories and building a searchable index for fast, code-aware queries.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need fast, offline code search across local repositories", "useCases": [ "Quickly finding function definitions across a codebase", "Searching for variable names or patterns in local repositories", "Navigating large projects without relying on external services" ], "pros": [ "Extremely fast search due to Rust implementation", "Code-aware indexing improves relevance for developers", "Runs entirely locally, no network dependency" ], "cons": [ "Limited to local files, no remote repository support", "Small community with only 59 stars, less tested at scale", "Requires initial indexing which may be slow on large codebases" ], "tags": [], "featured": false, "tier": "curated", "stars": 59, "language": [ "Rust" ], "license": "MIT", "lastUpdated": "2026-05-27", "addedAt": "2026-06-07", "officialLink": "https://github.com/reflex-search/reflex", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/reflex-search-reflex" }, { "slug": "remoet-labs-remoet-mcp", "name": "remoet-labs/remoet-mcp", "vendor": "Various", "tagline": "MCP server for Remoet — job search for AI agents. Hosted at api.remoet.dev/mcp.", "description": "An MCP server that exposes Remoet job search functionality to AI agents via the Model Context Protocol. It is hosted at api.remoet.dev/mcp and written in JavaScript. Agents can use it to query job listings programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that require job search capabilities from Remoet", "useCases": [ "Enable AI assistants to search and retrieve job postings", "Integrate Remoet job data into automated workflows", "Provide structured job search results to MCP-compatible clients" ], "pros": [ "Hosted endpoint removes the need to deploy your own server", "Follows the MCP standard, making it easy to integrate with supported AI agents", "Open source on GitHub for transparency and customization" ], "cons": [ "Limited to Remoet's job database, not a general job search tool", "Very early stage with only 1 star on GitHub, indicating limited community validation", "Dependent on the availability and uptime of the hosted api.remoet.dev service" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-07", "officialLink": "https://github.com/remoet-labs/remoet-mcp", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "skill-seekers-skill-seekers" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/remoet-labs-remoet-mcp" }, { "slug": "rosasynthesiz-flstudio-mcp", "name": "rosasynthesiz/flstudio-mcp", "vendor": "Various", "tagline": "AI-powered FL Studio control via the Model Context Protocol. Beyond piano-roll notes — full in-DAW mixing (Mix Doctor, gain staging, EQ/comp/reverb, reference matching), routing, a", "description": "A Python-based MCP server that exposes 67 tools for controlling FL Studio through Claude and other MCP clients. It enables programmatic access to piano roll editing, mixing operations (Mix Doctor, gain staging, EQ, compression, reverb), routing, and reference matching directly within the DAW on Windows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Producers and audio engineers who want to automate FL Studio workflows using AI assistants like Claude", "useCases": [ "Automate mixing tasks like gain staging and EQ adjustments via Claude", "Generate and edit MIDI patterns in the piano roll programmatically", "Route audio channels and apply reference matching for mastering" ], "pros": [ "Comprehensive toolset with 67 functions covering composition and mixing", "Integrates directly with FL Studio's internal workflow, not just MIDI output", "Works with multiple MCP clients, not limited to a single interface" ], "cons": [ "Windows-only due to FL Studio platform dependency", "Requires Python and MCP client setup, adding initial configuration overhead", "No star rating or community validation on GitHub yet" ], "tags": [ "ai-music", "audio", "claude", "daw", "fl-studio", "mcp", "midi", "mixing" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-27", "addedAt": "2026-06-07", "officialLink": "https://github.com/rosasynthesiz/flstudio-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/rosasynthesiz-flstudio-mcp" }, { "slug": "rosenvladimirov-odoo-claude-mcp", "name": "rosenvladimirov/odoo-claude-mcp", "vendor": "Various", "tagline": "Self-hosted MCP server connecting Claude to Odoo 15→19 — 197+ tools, multi-tenant, Bulgaria l10n", "description": "A self-hosted MCP server that connects Claude to Odoo versions 15 through 19. It exposes over 197 tools for interacting with Odoo instances, supports multi-tenant setups, and includes Bulgarian localization. The server is hosted as a GitHub repository with primary language listed as HTML.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing to connect Claude to Odoo for automation and ERP management in a self-hosted environment", "useCases": [ "Automate Odoo tasks via Claude's natural language interface", "Manage multi-tenant Odoo deployments with a single MCP server", "Integrate Bulgarian-specific ERP workflows into Claude conversations" ], "pros": [ "Large toolset (197+ tools) for broad Odoo interaction", "Self-hosted gives full control over data and connections", "Supports multiple Odoo versions (15–19) and multi-tenancy" ], "cons": [ "Requires self-hosting infrastructure and maintenance", "Limited community size (25 stars) may mean fewer resources or updates", "Primary language listed as HTML may indicate limited documentation or unexpected project structure" ], "tags": [ "ai-agents", "anthropic", "bulgaria", "claude", "claude-code", "docker", "kubernetes", "l10n" ], "featured": false, "tier": "curated", "stars": 25, "language": [ "HTML" ], "license": "AGPL-3.0", "lastUpdated": "2026-06-05", "addedAt": "2026-06-07", "officialLink": "https://github.com/rosenvladimirov/odoo-claude-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/rosenvladimirov-odoo-claude-mcp" }, { "slug": "runapi-ai-mcp", "name": "runapi-ai/mcp", "vendor": "Various", "tagline": "RunAPI MCP server for model discovery, pricing lookup, task creation, and LLM chat.", "description": "RunAPI MCP server provides a Model Context Protocol interface for discovering models, looking up pricing, creating tasks, and chatting with LLMs. It is implemented in TypeScript and exposes these capabilities as MCP tools for compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-compatible tools who need to integrate RunAPI's model catalog and chat capabilities", "useCases": [ "Query available LLM models and their current pricing from within an MCP client", "Create and manage tasks through the RunAPI platform via MCP tool calls", "Send chat messages to LLMs and receive responses through the MCP server" ], "pros": [ "Provides a standardized MCP interface for multiple RunAPI features", "Lightweight TypeScript implementation with minimal dependencies", "Enables programmatic access to model discovery and pricing data" ], "cons": [ "Very early stage with only 1 GitHub star and likely limited community support", "Depends on the RunAPI platform being available and maintained", "Documentation and usage examples are minimal given the project's infancy" ], "tags": [ "ai", "claude-code", "codex", "cursor", "image-generation", "llm", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-06-04", "addedAt": "2026-06-07", "officialLink": "https://github.com/runapi-ai/mcp", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/runapi-ai-mcp" }, { "slug": "saravananjaichandar-world-model-mcp", "name": "SaravananJaichandar/world-model-mcp", "vendor": "Various", "tagline": "A production-ready MCP server that builds a world model for codebases, preventing hallucinations, repeated mistakes, and regressions in Claude Code.", "description": "An MCP server that builds a persistent world model of a codebase to reduce hallucinations, repeat mistakes, and regressions when working with Claude Code. It runs in Python and provides structured context to improve the consistency of AI-generated code suggestions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude Code who need more reliable, context-aware code generation", "useCases": [ "Integrating with Claude Code to maintain accurate context across sessions", "Preventing repeated coding errors by tracking past mistakes in the codebase", "Avoiding regressions by ensuring new code aligns with existing patterns and constraints" ], "pros": [ "Reduces LLM hallucinations by grounding responses in a live codebase model", "Production-ready design suitable for ongoing development workflows", "Explicitly targets common pain points like error repetition and regressions" ], "cons": [ "Tightly coupled to Claude Code, limiting broader LLM tool compatibility", "Requires a running MCP server and Claude Code setup, adding infrastructure overhead", "Stars count suggests a young or niche repository with limited community validation" ], "tags": [ "ai-coding", "claude-code", "context-graphs", "knowledge-graph", "mcp-server", "python", "typescript" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-05", "addedAt": "2026-06-07", "officialLink": "https://github.com/SaravananJaichandar/world-model-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/saravananjaichandar-world-model-mcp" }, { "slug": "savirinc-unfragile-mcp-server", "name": "Savirinc/unfragile-mcp-server", "vendor": "Various", "tagline": "The match graph for AI. Search 100K+ capabilities across 13K+ AI artifacts.", "description": "Savirinc/unfragile-mcp-server is a JavaScript-based MCP server that indexes over 100,000 capabilities from more than 13,000 AI artifacts. It provides a searchable graph of AI tools and functions for use with AI agents.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to discover and connect to external capabilities", "useCases": [ "Searching for specific AI capabilities across a large catalog", "Discovering AI artifacts relevant to a task", "Integrating capability search into an AI agent workflow" ], "pros": [ "Large indexed dataset of 100K+ capabilities", "Open source and extensible", "Provides a structured graph for matching AI needs" ], "cons": [ "Very early stage with only 1 star and limited community", "Documentation and reliability may be minimal", "Requires self-hosting and setup as an MCP server" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-27", "addedAt": "2026-06-07", "officialLink": "https://github.com/Savirinc/unfragile-mcp-server", "relations": { "works_in": [ "continue", "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/savirinc-unfragile-mcp-server" }, { "slug": "seaworthy-io-seaworthy-mcp", "name": "seaworthy-io/seaworthy-mcp", "vendor": "Various", "tagline": "Open MCP server for disability insurance: an agent-callable quoterequest action plus carrier/coverage research tools, by Seaworthy Insurance Agency.", "description": "An open-source MCP server for disability insurance, providing an agent-callable quoterequest action and tools for carrier and coverage research. Built in TypeScript by Seaworthy Insurance Agency, it enables AI agents to interact with disability insurance data.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents for disability insurance brokers or agencies", "useCases": [ "Integrate disability insurance quoting into AI assistants", "Automate carrier and coverage research for agents", "Build custom insurance workflow tools with MCP protocol" ], "pros": [ "Open source and transparent with TypeScript codebase", "Tailored to a specific domain (disability insurance)", "Provides a clear, agent-callable action for quotes" ], "cons": [ "Zero stars on GitHub indicates very limited adoption or validation", "Only supports disability insurance, not other insurance types", "Likely early-stage with sparse documentation and community support" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-04", "addedAt": "2026-06-07", "officialLink": "https://github.com/seaworthy-io/seaworthy-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/seaworthy-io-seaworthy-mcp" }, { "slug": "semiotronika-linza-mcp", "name": "Semiotronika/LINZA-MCP", "vendor": "Various", "tagline": "Review-gated MCP sidecar for Markdown notes and incoming artifacts", "description": "LINZA-MCP is a review-gated MCP sidecar that manages Markdown notes and incoming artifacts. It runs as a local server, accepting and reviewing content before storing it as structured Markdown files.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want a review-gated Markdown note-taking sidecar for MCP-based workflows", "useCases": [ "Capture and review incoming notes or artifacts before committing them to a local Markdown store", "Gate content ingestion through a review process to ensure quality or relevance", "Integrate with MCP-compatible clients to manage a personal knowledge base in Markdown" ], "pros": [ "Simple Python implementation easy to inspect and modify", "Review gate adds a layer of control over what gets stored", "Lightweight sidecar architecture integrates with existing MCP workflows" ], "cons": [ "Requires manual review step, which may slow down automated ingestion", "Limited to Markdown format, not suitable for other data types", "Small community and limited documentation due to low star count" ], "tags": [ "ai-agents", "knowledge-graph", "local-first", "markdown", "mcp", "model-context-protocol", "obsidian", "review-workflow" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-07", "officialLink": "https://github.com/Semiotronika/LINZA-MCP", "relations": { "works_in": [ "cline", "claude-code", "continue", "aider" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/semiotronika-linza-mcp" }, { "slug": "sethbang-proton-mail-mcp", "name": "sethbang/proton-mail-mcp", "vendor": "Various", "tagline": "Unofficial MCP server for Proton Mail (not affiliated with Proton AG) — send, read, search & organize email over SMTP/IMAP", "description": "This unofficial MCP server enables sending, reading, searching, and organizing Proton Mail through SMTP and IMAP. It is built in TypeScript and is not affiliated with Proton AG. It exposes email operations as MCP tools for integration with compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to automate Proton Mail tasks through MCP-compatible AI tools", "useCases": [ "Send emails through Proton Mail via MCP", "Read and search Proton Mail inbox programmatically", "Organize Proton Mail folders and labels" ], "pros": [ "Integrates with any MCP-compatible client or agent", "Open source with a clean TypeScript codebase", "Leverages standard SMTP/IMAP protocols for email operations" ], "cons": [ "Unofficial tool with only 2 stars, indicating limited testing and community support", "Relies on SMTP/IMAP credentials which may introduce security concerns", "May break if Proton Mail changes its underlying API or access policies" ], "tags": [ "email", "email-mcp", "email-mcp-server", "imap", "mcp", "mcp-server", "model-context-protocol", "nodemailer" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-04", "addedAt": "2026-06-07", "officialLink": "https://github.com/sethbang/proton-mail-mcp", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sethbang-proton-mail-mcp" }, { "slug": "shaqmughal-seekstone", "name": "shaqmughal/seekstone", "vendor": "Various", "tagline": "Obsidian MCP server for Claude — filesystem-direct, 575× smaller payloads than the REST plugin. No Obsidian app or plugins required.", "description": "A filesystem-direct MCP server that lets Claude read and write Obsidian vault notes without needing the Obsidian app or any plugins. It sends payloads 575 times smaller than the official REST plugin, reducing overhead.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude who need filesystem-level access to Obsidian vaults without the app", "useCases": [ "Querying vault notes from Claude without running Obsidian", "Bulk reading or writing markdown files in an Obsidian vault", "Integrating Claude for knowledge management workflows" ], "pros": [ "Works directly with the filesystem, no Obsidian app required", "Drastically reduced payload size compared to the REST plugin", "Lightweight and simple to set up for Claude integration" ], "cons": [ "Very early stage with only 1 star on GitHub", "Limited to Claude as the MCP client", "Potential security risks from direct file system access" ], "tags": [ "ai", "claude", "llm", "markdown", "mcp", "model-context-protocol", "nodejs", "notes" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-07", "addedAt": "2026-06-07", "officialLink": "https://github.com/shaqmughal/seekstone", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/shaqmughal-seekstone" }, { "slug": "sidd27-infrawise", "name": "Sidd27/infrawise", "vendor": "Various", "tagline": "MCP server for AWS infrastructure analysis — Lambda, DynamoDB, SQS, PostgreSQL, MongoDB, EventBridge & more. Works with Claude Code, Cursor, and GitHub Copilot.", "description": "Sidd27/infrawise is an MCP server that analyzes AWS infrastructure including Lambda, DynamoDB, SQS, PostgreSQL, MongoDB, and EventBridge. It integrates with Claude Code, Cursor, and GitHub Copilot to provide infrastructure insights directly within these AI coding environments.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using AI coding assistants to manage AWS infrastructure", "useCases": [ "Analyze Lambda function configurations and performance", "Review DynamoDB table schemas and usage patterns", "Optimize SQS queue settings and throughput" ], "pros": [ "Open source and written in TypeScript", "Works with multiple popular AI coding assistants", "Covers a broad set of AWS services" ], "cons": [ "Low GitHub star count suggests early stage or limited adoption", "Requires client support for the MCP protocol", "Documentation and community support may be sparse" ], "tags": [ "ai-tools", "aws", "claude-code", "cursor", "devtools", "dynamodb", "iac", "infrastructure" ], "featured": false, "tier": "curated", "stars": 10, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-07", "addedAt": "2026-06-07", "officialLink": "https://github.com/Sidd27/infrawise", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [ "awslabs-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sidd27-infrawise" }, { "slug": "slookisen-lokal", "name": "slookisen/lokal", "vendor": "Various", "tagline": "Local healthy food", "description": "A TypeScript project for discovering local healthy food options. It provides a starting point for developers to build applications around local food data.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with local food data or building small food-discovery projects.", "useCases": [ "Integrating local healthy food discovery into apps", "Building a directory or map of nearby healthy eateries", "Prototyping a food-related personal project" ], "pros": [ "Written in TypeScript for type safety", "Open source and free to use", "Focused on the specific niche of local healthy food" ], "cons": [ "No stars or community traction yet", "Limited documentation or examples available", "Unknown maintenance status and data sources" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-07", "addedAt": "2026-06-07", "officialLink": "https://github.com/slookisen/lokal", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/slookisen-lokal" }, { "slug": "smythmyke-govtoolspro-mcp-server", "name": "smythmyke/govtoolspro-mcp-server", "vendor": "Various", "tagline": "MCP server for GovToolsPro — go/no-go scoring, incumbent intelligence, teaming-partner search, recompete prediction, Navy NECO lookup, and SAM.gov solicitation retrieval for federa", "description": "MCP server that integrates GovToolsPro functionality for federal contractors. It provides tools for go/no-go scoring, incumbent intelligence, teaming-partner search, recompete prediction, Navy NECO lookup, and SAM.gov solicitation retrieval.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Federal contractors and proposal teams needing automated opportunity assessment and market intelligence.", "useCases": [ "Score contract opportunities for go/no-go decisions", "Search for incumbent contractors on federal contracts", "Find teaming partners for bid proposals" ], "pros": [ "Covers multiple federal contracting workflows in one MCP server", "Written in TypeScript for type safety and maintainability", "Integrates directly with SAM.gov and Navy NECO data sources" ], "cons": [ "Limited community adoption (0 stars on GitHub)", "Requires access to GovToolsPro API, which may involve separate subscription costs", "Narrow focus on U.S. federal contracting limits broader developer appeal" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-07", "addedAt": "2026-06-07", "officialLink": "https://github.com/smythmyke/govtoolspro-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/smythmyke-govtoolspro-mcp-server" }, { "slug": "smythmyke-markitup-mcp-server", "name": "smythmyke/markitup-mcp-server", "vendor": "Various", "tagline": "MarkItUp MCP server — AI image annotation and marketing-visual generation for Claude Code, Cursor, Claude Desktop, ChatGPT, and other MCP clients", "description": "MarkItUp MCP server is a TypeScript tool that adds image annotation and marketing-visual generation capabilities to MCP-compatible clients like Claude Code, Cursor, and ChatGPT. It works as a Model Context Protocol server, allowing AI assistants to create annotated images and marketing visuals on demand.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to generate annotated images and marketing visuals from within their MCP-compatible AI coding environment", "useCases": [ "Generate annotated product screenshots for documentation", "Create social media graphics with text overlays", "Produce marketing visuals directly from an AI coding assistant" ], "pros": [ "Integrates directly with popular AI coding tools via MCP", "Written in TypeScript for easy customization and extension", "Fills a specific niche for visual content generation in developer workflows" ], "cons": [ "Zero GitHub stars indicates very early stage or limited adoption", "Dependency on MCP client ecosystem limits standalone use", "No usage examples or documentation beyond the repository description" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-27", "addedAt": "2026-06-07", "officialLink": "https://github.com/smythmyke/markitup-mcp-server", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/smythmyke-markitup-mcp-server" }, { "slug": "smythmyke-patent-search-mcp-server", "name": "smythmyke/patent-search-mcp-server", "vendor": "Various", "tagline": "MCP server for the AI Patent Search Generator — patent dossiers, prosecution history, citation graphs, and Google Patents search", "description": "An MCP server that exposes patent data to AI agents via the Model Context Protocol. It retrieves patent dossiers, prosecution history, citation graphs, and search results from Google Patents.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need structured patent information on demand", "useCases": [ "Querying prosecution history for a given patent number", "Generating citation graphs to visualize patent relationships", "Integrating patent search results into an AI assistant workflow" ], "pros": [ "Targeted access to patent-specific data through a standard MCP interface", "Combines multiple patent intelligence sources in one server", "Written in TypeScript, easy to integrate with Node.js environments" ], "cons": [ "Zero GitHub stars suggests very limited community adoption or testing", "Relies on Google Patents and external sources, which may have rate limits or terms of use", "No version or release info available to assess stability" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-01", "addedAt": "2026-06-07", "officialLink": "https://github.com/smythmyke/patent-search-mcp-server", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/smythmyke-patent-search-mcp-server" }, { "slug": "soolaugust-0compactmem", "name": "soolaugust/0CompactMem", "vendor": "Various", "tagline": "Zero context compaction for Claude Code & LLM agents. Persistent memory powered by OS primitives (demand paging, kswapd eviction, mlock pinning). Single SQLite file, MCP-native, mu", "description": "0CompactMem provides persistent memory for Claude Code and other LLM agents using OS memory primitives like demand paging and mlock pinning. It stores memory in a single SQLite file and is MCP-native, allowing multiple agents to share the same memory.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building multi-agent LLM systems that need efficient, shared persistent memory with OS-level control", "useCases": [ "Persistent memory for LLM agent sessions across restarts", "Shared memory context for multi-agent collaboration", "Efficient memory management using OS-level demand paging" ], "pros": [ "Leverages OS memory management (demand paging, mlock) for performance", "Single SQLite file simplifies storage and portability", "MCP-native design enables seamless multi-agent memory sharing" ], "cons": [ "Low community adoption (0 stars) suggests early-stage or niche tool", "Requires system-level configuration of OS primitives (swap, mlock)", "Potential complexity in tuning memory constraints for different workloads" ], "tags": [ "agent-framework", "agent-memory", "ai-agents", "claude", "claude-code", "context-compaction", "context-management", "cursor" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "lastUpdated": "2026-06-01", "addedAt": "2026-06-07", "officialLink": "https://github.com/soolaugust/0CompactMem", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/soolaugust-0compactmem" }, { "slug": "stagproject-sec-filings-mcp", "name": "stagproject/sec-filings-mcp", "vendor": "Various", "tagline": "SEC EDGAR filing MCP for agents - search, preview, purchase (x402).", "description": "This is a Python-based Model Context Protocol (MCP) server that gives AI agents the ability to search, preview, and purchase SEC EDGAR filings using the x402 protocol. It provides programmatic access to the SEC filing system through agent-friendly endpoints.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to search, preview, and purchase SEC EDGAR filings", "useCases": [ "Search for company filings by ticker symbol or CIK number", "Preview filing content before deciding to purchase", "Purchase SEC filings programmatically through an AI agent workflow" ], "pros": [ "Provides structured access to SEC EDGAR data for agentic workflows", "Supports search, preview, and purchase in a single tool", "Lightweight Python implementation easy to integrate into agent stacks" ], "cons": [ "Low community adoption and limited documentation due to early stage", "Purchase method is limited to the x402 protocol only", "Requires understanding of the MCP framework to set up and use" ], "tags": [ "edgar", "mcp", "mcp-server", "model-context-protocol", "sec", "x402" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-30", "addedAt": "2026-06-07", "officialLink": "https://github.com/stagproject/sec-filings-mcp", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [ "microsoft-markitdown" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/stagproject-sec-filings-mcp" }, { "slug": "summerstateofmind-cityparity", "name": "summerstateofmind/cityparity", "vendor": "Various", "tagline": "Cost of living and quality of life comparison tool", "description": "A JavaScript tool for comparing cost of living and quality of life across cities. It provides a framework to build city comparison features into applications.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a minimal starting point for city comparison functionality in JavaScript", "useCases": [ "Comparing cost of living metrics between cities", "Embedding quality-of-life comparisons in dashboards", "Building location analysis tools with city data" ], "pros": [ "Open source and freely available on GitHub", "Written in JavaScript for broad compatibility" ], "cons": [ "Zero GitHub stars indicates very limited adoption or community interest", "No additional context beyond the two comparison dimensions is provided" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-06-02", "addedAt": "2026-06-07", "officialLink": "https://github.com/summerstateofmind/cityparity", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/summerstateofmind-cityparity" }, { "slug": "supertone-inc-supertone-mcp", "name": "supertone-inc/supertone-mcp", "vendor": "Various", "tagline": "[](https://glama.ai/mcp/servers/supertone-inc/supertone-mcp) 🐍 ☁️ 🍎 🪟 🐧 - High-quality Supertone TTS API: generate speech, search & preview the voice catalog, predict duration/", "description": "An MCP server that wraps the Supertone TTS API, enabling speech generation from text, voice catalog search and preview, and duration prediction. It is written in Python and uses the Model Context Protocol for integration with AI agents and tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or tools that need high-fidelity speech generation via MCP.", "useCases": [ "Generate natural speech from text for voice assistants or narrations", "Search and preview voice samples from the Supertone catalog programmatically", "Predict the duration of speech output for scheduling or UI timing" ], "pros": [ "High-quality, realistic TTS output from Supertone's engine", "Voice catalog search and preview reduce manual auditioning", "MCP integration allows easy plug-in to AI agent platforms" ], "cons": [ "Very small community and low GitHub stars indicate limited adoption", "Requires Supertone API access and Python environment", "Tied to a single TTS provider (not vendor-agnostic)" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "lastUpdated": "2026-06-05", "addedAt": "2026-06-07", "officialLink": "https://github.com/supertone-inc/supertone-mcp", "relations": { "works_in": [ "cline", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/supertone-inc-supertone-mcp" }, { "slug": "swimmwatch-cloakbrowser-mcp", "name": "swimmwatch/cloakbrowser-mcp", "vendor": "Various", "tagline": "⚡ CloakBrowser MCP server for AI agents: Playwright-powered browsing, clean tool forwarding, Docker support, and multi-session HTTP transport.", "description": "A Model Context Protocol server that enables AI agents to perform browser automation using Playwright. It supports tool forwarding, Docker deployment, and multi-session HTTP transport for coordinated browsing tasks.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that require programmatic browser control", "useCases": [ "Embedding web scraping or form filling into AI agent workflows", "Running automated browser tests orchestrated by an AI assistant", "Enabling multi-session browsing for concurrent agent tasks" ], "pros": [ "Built on Playwright for reliable cross-browser automation", "Includes Docker support for easy containerized deployment", "Supports multiple concurrent browsing sessions via HTTP transport" ], "cons": [ "Very low GitHub star count indicates limited adoption and testing", "Documentation and community support may be sparse", "Early stage project with potential for breaking changes" ], "tags": [ "ai-agents", "ai-tools", "browser-automation", "chromium", "cloakbrowser", "docker", "headless-browser", "llm-tools" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-06", "addedAt": "2026-06-07", "officialLink": "https://github.com/swimmwatch/cloakbrowser-mcp", "relations": { "works_in": [], "uses": [ "docker" ], "built_with": [], "pairs_with": [], "alternative_to": [ "browsermcp-mcp", "executeautomation-playwright-mcp-server", "agent-infra-mcp-server-browser" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/swimmwatch-cloakbrowser-mcp" }, { "slug": "tcconnally-perseus", "name": "tcconnally/perseus", "vendor": "Various", "tagline": "Live context engine for AI assistants — resolve-before-context, session waypoints, and tool-selection intelligence for Hermes Agent", "description": "Perseus is a live context engine for AI assistants written in Python. It implements resolve-before-context logic, session waypoints, and tool-selection intelligence specifically for Hermes Agent. The tool helps maintain coherent context across assistant sessions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants with Hermes Agent that need context management", "useCases": [ "Managing AI assistant context across multiple sessions", "Improving tool selection accuracy for Hermes Agent", "Implementing resolve-before-context workflows" ], "pros": [ "Lightweight Python implementation", "Designed specifically for Hermes Agent integration", "Provides structured context management" ], "cons": [ "Low star count indicates limited adoption or early stage", "Tied to Hermes Agent, not a general-purpose context engine", "May lack extensive documentation or community support" ], "tags": [ "ai-assistant", "cli", "context-engine", "developer-tools", "hermes-agent", "llm-tools", "open-source", "perseus" ], "featured": false, "tier": "curated", "stars": 7, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-07", "addedAt": "2026-06-07", "officialLink": "https://github.com/tcconnally/perseus", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "upstash-context7" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tcconnally-perseus" }, { "slug": "teodorofodocrispin-cmyk-trustboost-pii-sanitizer", "name": "teodorofodocrispin-cmyk/trustboost-pii-sanitizer", "vendor": "Various", "tagline": "[](https://glama.ai/mcp/servers/teodorofodocrispin-cmyk/trustboost-api) 🐍 ☁️ - PII sanitization layer for autonomous AI agent pipelines. Detects and redacts emails, phone numbers,", "description": "A Python-based PII sanitization layer for autonomous AI agent pipelines. It detects and redacts sensitive data such as emails and phone numbers before they reach downstream systems.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building autonomous AI agents who need a basic PII filter before data leaves their control.", "useCases": [ "Sanitize user inputs before passing to an LLM or external API", "Redact PII from logs or transcripts in agent workflows", "Prevent accidental data leaks in automated data processing pipelines" ], "pros": [ "Lightweight Python implementation easy to integrate", "Focused on a critical security need for agent pipelines", "Open source with a permissive license" ], "cons": [ "Very early stage with only 1 star and limited community adoption", "No evidence of support for non-English or structured data formats", "Lacks documentation on performance or accuracy benchmarks" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "lastUpdated": "2026-06-07", "addedAt": "2026-06-07", "officialLink": "https://github.com/teodorofodocrispin-cmyk/trustboost-api", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [ "microsoft-markitdown", "mediar-ai-screenpipe" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/teodorofodocrispin-cmyk-trustboost-pii-sanitizer" }, { "slug": "tinqiao-oss-clawtouch-mcp", "name": "tinqiao-oss/clawtouch-mcp", "vendor": "Various", "tagline": "ClawTouch MCP server — exposes a real USB-HID keyboard/mouse (Raspberry Pi Pico 2) as Model Context Protocol tools for any LLM agent. MIT.", "description": "ClawTouch MCP server exposes a real USB-HID keyboard and mouse connected via a Raspberry Pi Pico 2 as Model Context Protocol tools. This allows any LLM agent to programmatically send keystrokes and mouse actions through a physical hardware interface. The project is open source under the MIT license and written in Python.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a reliable physical HID bridge for LLM-driven automation on locked-down or embedded systems", "useCases": [ "Automating GUI interactions on a machine that cannot use virtual input devices", "Testing or debugging software that requires physical HID input", "Enabling an LLM agent to control a separate computer or kiosk via USB" ], "pros": [ "Provides genuine hardware-level input, bypassing OS virtual device restrictions", "Simple MCP interface makes it easy to integrate with any LLM agent", "Low-cost hardware requirement (Raspberry Pi Pico 2)" ], "cons": [ "Requires additional hardware and wiring, not a pure software solution", "Limited to the capabilities of the Pico 2 (e.g., no joystick or gamepad support)", "Very small community (2 stars) with minimal documentation or support" ], "tags": [ "ai-agent", "anthropic", "automation", "claude", "computer-use", "hid", "llm", "mcp" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-07", "addedAt": "2026-06-07", "officialLink": "https://github.com/tinqiao-oss/clawtouch-mcp", "relations": { "works_in": [ "anthropic-computer-use", "cline" ], "uses": [], "built_with": [], "pairs_with": [ "mediar-ai-screenpipe", "browsermcp-mcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tinqiao-oss-clawtouch-mcp" }, { "slug": "tools-mcp-vessel-traffic-mcp", "name": "tools-mcp/vessel-traffic-mcp", "vendor": "Various", "tagline": "Read-only MCP server for vessel AIS, ship tracking, schedules, and BYOK maritime providers", "description": "A read-only MCP server that provides vessel AIS data, ship tracking, schedules, and maritime information through bring-your-own-key providers. It exposes standardized tools for querying vessel positions, port calls, and maritime traffic via the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or dashboards that need live maritime traffic data", "useCases": [ "Integrate real-time vessel positions into a logistics dashboard", "Query port schedules and estimated arrival times for supply chain planning", "Monitor maritime traffic patterns for fleet management or analytics" ], "pros": [ "Standard MCP interface makes it easy to connect with AI agents and assistants", "BYOK model lets you use existing maritime data subscriptions without vendor lock-in", "Read-only design reduces risk of accidental data modification" ], "cons": [ "Requires a separate API key from a maritime data provider, adding setup overhead", "No built-in caching or offline support, so queries depend on provider availability", "Limited to read operations, cannot submit or update vessel data" ], "tags": [ "ais", "aishub", "aisstream", "byok", "chatgpt-mcp", "claude-mcp", "codex-plugin", "gemini-mcp" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-27", "addedAt": "2026-06-07", "officialLink": "https://github.com/tools-mcp/vessel-traffic-mcp", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tools-mcp-vessel-traffic-mcp" }, { "slug": "uchit-mcp-regulated-ai-compliance", "name": "uchit/mcp-regulated-ai-compliance", "vendor": "Various", "tagline": "mcp server exposing regulated-industry AI compliance knowledge — EU AI Act · APRA · NIST AI RMF · ISO 42001 · AU AI Safety │ Standard. 6 tools · 53 resources · 5 prompts. Apache 2.", "description": "An MCP server that exposes knowledge about regulated-industry AI compliance frameworks including EU AI Act, APRA, NIST AI RMF, ISO 42001, and AU AI Safety Standard. It provides 6 tools, 53 resources, and 5 prompts for querying and applying compliance rules. The server is written in TypeScript and licensed under Apache 2.0.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based tools that need to incorporate compliance checks for regulated AI systems", "useCases": [ "Checking AI system compliance against the EU AI Act", "Mapping internal governance practices to NIST AI RMF controls", "Generating compliance documentation for ISO 42001 certification" ], "pros": [ "Covers multiple major AI regulations in a single interface", "Structured knowledge delivered through the MCP protocol", "Apache 2.0 license permits free use and modification" ], "cons": [ "Zero stars indicates limited community adoption and testing", "Coverage is limited to the listed regulations only", "Requires an MCP-compatible client to interact with the server" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-06-06", "addedAt": "2026-06-07", "officialLink": "https://github.com/uchit/mcp-regulated-ai-compliance", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/uchit-mcp-regulated-ai-compliance" }, { "slug": "vinvuk-apiverket-mcp", "name": "vinvuk/apiverket-mcp", "vendor": "Various", "tagline": "MCP server for querying Swedish government data via Apiverket.se API", "description": "A Model Context Protocol server that queries Swedish government data through the Apiverket.se API. It is written in TypeScript and provides a standardized interface for accessing public records and official information from Sweden.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers working with MCP-based assistants who need structured access to Swedish public sector data.", "useCases": [ "Retrieving Swedish government datasets for analysis or display", "Integrating official Swedish data into MCP-compatible assistants and agents", "Building tools that combine multiple Swedish public data sources" ], "pros": [ "Direct access to Swedish government data via a standard MCP protocol", "Lightweight TypeScript implementation easy to extend or debug", "Single-purpose design reduces complexity for Swedish data queries" ], "cons": [ "Limited to Swedish government data only, no international coverage", "Very small community and minimal activity (1 star on GitHub)", "Relies on external Apiverket.se API which may have rate limits or availability constraints" ], "tags": [ "apiverket", "bolagsverket", "government-data", "mcp", "model-context-protocol", "open-data", "scb", "smhi" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-05", "addedAt": "2026-06-07", "officialLink": "https://github.com/vinvuk/apiverket-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/vinvuk-apiverket-mcp" }, { "slug": "voxellinc-forge-mcp", "name": "VoxellInc/forge-mcp", "vendor": "Various", "tagline": "[](https://glama.ai/mcp/servers/VoxellInc/forge-mcp) 🎖️ 📇 ☁️ - Official MCP server for Forge, Voxell's hosted text-embedding API. Generate vector embeddings (turbo 1024d, pro 256", "description": "An MCP server that provides access to Voxell's hosted text-embedding API, generating vector embeddings in two dimensions: turbo (1024d) and pro (256d). It integrates with MCP-compatible clients to enable semantic search, clustering, and retrieval-augmented generation workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-based tools that need quick, hosted text embeddings for semantic search or RAG.", "useCases": [ "Generate embeddings for semantic search over documents", "Encode text for clustering or similarity comparisons", "Feed embeddings into a vector database for RAG pipelines" ], "pros": [ "Simple MCP interface for embedding generation", "Two embedding dimensions to balance speed and precision", "Hosted API removes need for local model deployment" ], "cons": [ "No offline or self-hosted option", "Limited to two embedding models", "Dependent on Voxell API availability and pricing" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-07", "officialLink": "https://github.com/VoxellInc/forge-mcp", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [ "qdrant", "chroma" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/voxellinc-forge-mcp" }, { "slug": "warpfreight-warp-agent-mcp", "name": "warpfreight/warp-agent-mcp", "vendor": "Various", "tagline": "MCP server for the Warp freight API. Quote, book, and track LTL/FTL shipments from any MCP-compatible AI agent.", "description": "An MCP server that wraps the Warp freight API, enabling AI agents to quote, book, and track LTL/FTL shipments. It exposes freight operations as tools callable from any MCP-compatible client.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to automate freight logistics", "useCases": [ "Automate freight quoting and booking from a chat interface", "Integrate real-time shipment tracking into an AI assistant", "Build a logistics agent that handles LTL/FTL workflows" ], "pros": [ "Direct access to Warp freight API without custom integration", "Works with any MCP-compatible agent or framework", "Written in TypeScript with a small codebase" ], "cons": [ "Requires a Warp freight account and API key", "Limited to LTL/FTL shipments only", "Very early stage with only 2 GitHub stars" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-03", "addedAt": "2026-06-07", "officialLink": "https://github.com/warpfreight/warp-agent-mcp", "relations": { "works_in": [ "cline", "roocode", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/warpfreight-warp-agent-mcp" }, { "slug": "wenyuchiou-research-hub", "name": "WenyuChiou/research-hub", "vendor": "Various", "tagline": "AI-operable research workspace for Zotero, Obsidian, and NotebookLM. Use any two, or all three, through CLI, MCP, REST, and dashboard.", "description": "A research workspace that integrates Zotero, Obsidian, and NotebookLM. It provides CLI, MCP, REST, and dashboard interfaces for managing research materials. Designed for AI operability, it allows using any combination of the three tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Researchers who want to automate workflows across Zotero, Obsidian, and NotebookLM", "useCases": [ "Integrating Zotero references with Obsidian notes", "Querying NotebookLM content via REST API", "Automating research tasks through CLI commands" ], "pros": [ "Supports multiple interfaces for flexible integration", "Combines Zotero, Obsidian, and NotebookLM in one workspace", "Designed for programmatic control by AI agents" ], "cons": [ "Small user base may mean limited community support", "Requires familiarity with CLI and API usage", "Integration depth may vary across tools" ], "tags": [ "academic-research", "ai-agents", "ai-research", "citation-management", "claude", "cli", "codex", "cursor" ], "featured": false, "tier": "curated", "stars": 23, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-07", "addedAt": "2026-06-07", "officialLink": "https://github.com/WenyuChiou/research-hub", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/wenyuchiou-research-hub" }, { "slug": "wnbhr-being", "name": "wnbhr/being", "vendor": "Various", "tagline": "Personality Runtime — persistent memory, identity, and relationships for AI agents that work across multiple LLM platforms via MCP", "description": "A runtime for AI agents that maintains persistent memory, identity, and relationship data across different LLM platforms. It uses the Model Context Protocol (MCP) to enable cross-platform agent continuity.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building cross-platform AI agents that need consistent personality and memory", "useCases": [ "Building agents with long-term memory across sessions", "Creating agents that maintain consistent identity across multiple LLM providers", "Developing multi-platform agent systems with shared relationship data" ], "pros": [ "Persistent memory and identity across LLM providers via MCP", "Standardized integration through the Model Context Protocol", "Written in TypeScript for broad compatibility with JavaScript/TypeScript stacks" ], "cons": [ "Very early stage with zero GitHub stars, indicating minimal adoption or testing", "Requires MCP-compatible LLM platforms, which may limit usability", "Likely limited documentation and community support due to low popularity" ], "tags": [ "ai-agent", "mcp", "mcp-server", "memory", "personality", "soul", "typescript" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "lastUpdated": "2026-05-28", "addedAt": "2026-06-07", "officialLink": "https://github.com/wnbhr/being", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/wnbhr-being" }, { "slug": "x402node-x402-mcp", "name": "x402node/x402-mcp", "vendor": "Various", "tagline": "MCP server bringing 100+ x402-paid APIs to AI agents. Auto-syncs from CDP Bazaar. Stablecoin micropayments via x402 protocol across multi-chain (Base, Solana, Polygon, BNB, EVM). B", "description": "An MCP server that exposes 100+ paid APIs to AI agents using x402 protocol stablecoin micropayments. It auto-syncs API listings from CDP Bazaar and supports multi-chain payments across Base, Solana, Polygon, BNB, and EVM. Designed for agentic commerce, it integrates with MCP-aware clients like Claude and Cursor.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building autonomous AI agents that need to pay for external APIs on the fly", "useCases": [ "Enable AI agents to call paid APIs on demand with instant micropayments", "Automate machine-to-machine payments for autonomous workflows", "Access developer utilities, validators, and encoders through a standardized interface" ], "pros": [ "Broad multi-chain payment support reduces platform lock-in", "Auto-syncing from CDP Bazaar keeps API list current without manual updates", "Works with any MCP-aware client, not tied to a single vendor" ], "cons": [ "Zero GitHub stars suggests very early or unpopular project", "Dependence on x402 protocol and stablecoin rails may limit adoption in non-crypto setups", "Limited to APIs listed on CDP Bazaar; no custom endpoint configuration documented" ], "tags": [ "agentic", "agentic-commerce", "ai-agent", "base-network", "claude", "cursor", "m2m-payment", "machine-to-machine" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-29", "addedAt": "2026-06-07", "officialLink": "https://github.com/x402node/x402-mcp", "relations": { "works_in": [ "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/x402node-x402-mcp" }, { "slug": "xchucx-agent-memory", "name": "xChuCx/agent-memory", "vendor": "Various", "tagline": "Local, searchable project memory for AI coding agents. Markdown source of truth, MCP interface, safe structured updates — no cloud.", "description": "A local, searchable project memory system for AI coding agents. It uses Markdown as the source of truth and provides an MCP interface for safe structured updates. No cloud services are required.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need persistent project memory for AI coding agents without cloud reliance.", "useCases": [ "Store project context and documentation as markdown files", "Enable AI coding agents to retrieve relevant project memory through search", "Update memory with structured updates from agent sessions" ], "pros": [ "Local storage ensures data privacy and no cloud dependency", "Markdown source of truth is easy to read, edit, and version control", "MCP interface enables seamless integration with AI coding agents" ], "cons": [ "Requires local setup and ongoing management", "No built-in versioning or collaboration features", "Markdown-based storage may not suit complex structured data" ], "tags": [ "ai-agents", "claude", "cli", "developer-tools", "golang", "llm", "mcp", "memory" ], "featured": false, "tier": "curated", "stars": 4, "language": [ "Go" ], "license": "Apache-2.0", "lastUpdated": "2026-06-05", "addedAt": "2026-06-07", "officialLink": "https://github.com/xChuCx/agent-memory", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/xchucx-agent-memory" }, { "slug": "ygao2005-scholar-feed-mcp", "name": "YGao2005/scholar-feed-mcp", "vendor": "Various", "tagline": "MCP server for searching 600,000+ CS/AI research papers with citation graphs, full text, embeddings, and BibTeX. Works with Claude Code, Cursor, and any MCP client. No signup requi", "description": "An MCP server that lets you search over 600,000 computer science and AI research papers. It provides citation graphs, full text, embeddings, and BibTeX exports and works with Claude Code, Cursor, and any MCP client without requiring signup.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Researchers and developers needing a lightweight offline-capable MCP server for CS/AI paper discovery", "useCases": [ "Retrieve full text and metadata for CS/AI papers via MCP clients", "Generate citation graphs and BibTeX references for literature reviews", "Explore paper embeddings for similarity search and clustering" ], "pros": [ "No signup or API key required to use", "Works with popular MCP clients like Claude Code and Cursor", "Includes citation graphs and embeddings for deeper analysis" ], "cons": [ "Limited to 600,000 papers, much smaller than full academic indexes", "Covers only computer science and AI, not other disciplines", "Low community adoption (7 stars) suggests limited updates or support" ], "tags": [ "ai", "arxiv", "bibtex", "citations", "claude", "claude-code", "cursor", "literature-review" ], "featured": false, "tier": "curated", "stars": 7, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-07", "addedAt": "2026-06-07", "officialLink": "https://github.com/YGao2005/scholar-feed-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ygao2005-scholar-feed-mcp" }, { "slug": "younghef-nutriref-api", "name": "Younghef/nutriref-api", "vendor": "Various", "tagline": "Pay-per-call USDA nutrition API for AI agents. x402 + USDC on Base.", "description": "A pay-per-call API that provides USDA nutrition data for AI agents. It uses x402 and USDC on Base for payment, enabling programmatic access to authoritative nutritional information. The API is implemented in Python.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need on-demand USDA nutrition data with per-call billing", "useCases": [ "Integrating nutritional data into AI-powered meal planning apps", "Building chatbots that answer dietary questions with verified USDA data", "Automating nutrition analysis for food logging or recipe tools" ], "pros": [ "Direct access to authoritative USDA nutrition database", "Pay-per-call model avoids monthly subscription fees", "Blockchain-based payment (x402 + USDC) for transparent billing" ], "cons": [ "Requires a crypto wallet and USDC on Base for payment", "Zero stars on GitHub suggests low adoption or early stage", "Pay-per-call can become expensive for high-volume usage" ], "tags": [ "ai-agents", "cdp", "coinbase", "fastapi", "mcp", "nutrition", "usda", "x402" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-31", "addedAt": "2026-06-07", "officialLink": "https://github.com/Younghef/nutriref-api", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/younghef-nutriref-api" }, { "slug": "zekebuilds-lab-captcha-mcp", "name": "zekebuilds-lab/captcha-mcp", "vendor": "Various", "tagline": "MCP server for PoW + Lightning agent auth — charge AI agents per-call without accounts. npm: @powforge/captcha-mcp", "description": "A Model Context Protocol (MCP) server that authenticates AI agents using Proof of Work and Lightning Network payments. It charges agents per API call without requiring traditional accounts. Implemented in JavaScript as an npm package.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building monetized agent APIs or wanting accountless authentication", "useCases": [ "Authenticate AI agents in MCP-compatible applications", "Implement pay-per-call billing for agent APIs", "Add abuse protection via PoW challenges" ], "pros": [ "No account registration needed", "Built-in microtransactions via Lightning Network", "Open-source and easy to integrate" ], "cons": [ "Early stage with no community adoption", "Requires Lightning Network infrastructure", "PoW increases response latency" ], "tags": [ "agent-auth", "captcha", "l402", "lightning", "mcp", "mcp-server", "model-context-protocol", "proof-of-work" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-05-14", "addedAt": "2026-06-07", "officialLink": "https://github.com/zekebuilds-lab/captcha-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/zekebuilds-lab-captcha-mcp" }, { "slug": "zhurong2020-pyobfus", "name": "zhurong2020/pyobfus", "vendor": "Various", "tagline": "🛡️ Modern Python code obfuscator - Enterprise-grade protection at 50% lower cost than PyArmor", "description": "A Python code obfuscator that claims enterprise-grade protection at 50% lower cost than PyArmor. It is designed to protect intellectual property by making source code difficult to reverse engineer.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers seeking a cheaper alternative to PyArmor for Python code protection", "useCases": [ "Obfuscating Python scripts before distribution", "Protecting proprietary algorithms in Python applications", "Reducing licensing costs compared to PyArmor" ], "pros": [ "Lower cost than PyArmor", "Claims enterprise-grade protection", "Modern Python obfuscation approach" ], "cons": [ "Zero GitHub stars suggests limited adoption or testing", "May lack community support and documentation", "Only supports Python code" ], "tags": [ "ai-native", "ast-obfuscation", "claude-code", "code-obfuscator", "code-protection", "cursor", "llm-tools", "mcp-server" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-06-06", "addedAt": "2026-06-07", "officialLink": "https://github.com/zhurong2020/pyobfus/tree/main/pyobfus_mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/zhurong2020-pyobfus" }, { "slug": "zw008-vmware-aria", "name": "zw008/VMware-Aria", "vendor": "Various", "tagline": "VMware Aria Operations monitoring, alerting, and capacity planning — MCP tools for AI agents", "description": "This project provides MCP (Model Context Protocol) tools that allow AI agents to interact with VMware Aria Operations for monitoring, alerting, and capacity planning. It wraps the VMware Aria API in a Python-based server, enabling agents to query infrastructure health and performance data.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "DevOps engineers and platform teams who want to let AI agents monitor and manage VMware infrastructure", "useCases": [ "Automate infrastructure health checks and alert responses via AI agents", "Query capacity planning metrics and trends from VMware Aria", "Integrate VMware monitoring data into agent-driven workflows" ], "pros": [ "Enables direct agent access to enterprise VMware monitoring data", "Leverages standard MCP protocol for easy integration with AI frameworks", "Focused on a specific, valuable use case in infrastructure management" ], "cons": [ "Requires a running VMware Aria Operations instance and API access", "Limited community adoption and documentation (0 stars, no description beyond the title)", "Dependent on the stability and availability of the VMware Aria API" ], "tags": [ "agent-skills", "ai-skill", "aria", "automation", "claude-code", "codex", "gemini-cli", "mcp" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "lastUpdated": "2026-06-07", "addedAt": "2026-06-07", "officialLink": "https://github.com/zw008/VMware-Aria", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/zw008-vmware-aria" }, { "slug": "zw008-vmware-monitor", "name": "zw008/VMware-Monitor", "vendor": "Various", "tagline": "Read-only VMware vCenter/ESXi monitoring — code-level enforced safety, zero destructive operations", "description": "A read-only Python tool for monitoring VMware vCenter and ESXi hosts. It enforces code-level safety to prevent any destructive operations, making it suitable for inspection and alerting without risk of accidental changes.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and ops teams needing a safe, read-only monitoring tool for VMware environments.", "useCases": [ "Monitor vCenter and ESXi health and performance metrics", "Audit VM configurations and resource usage", "Integrate with alerting pipelines for infrastructure observability" ], "pros": [ "Read-only design eliminates risk of accidental modifications", "Lightweight Python implementation easy to extend or embed", "Focused on monitoring without unnecessary complexity" ], "cons": [ "Limited to monitoring; no management or remediation capabilities", "Small community and low star count may indicate sparse documentation", "Requires Python environment and vCenter/ESXi credentials" ], "tags": [ "agent-skills", "ai-skill", "aiops", "claude-code", "codex", "esxi", "gemini-cli", "homelab" ], "featured": false, "tier": "curated", "stars": 8, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-07", "addedAt": "2026-06-07", "officialLink": "https://github.com/zw008/VMware-Monitor", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/zw008-vmware-monitor" }, { "slug": "zzallirog-weighted-compact", "name": "zzallirog/weighted-compact", "vendor": "Various", "tagline": "Substrate-based context compaction for Claude Code. Inspectable signal weights, local-only, MCP-ready. Alternative to /compact + hook-based capture (claude-mem, etc.).", "description": "Provides context compaction for Claude Code using a Substrate-based approach. It applies inspectable signal weights to prioritize information, runs entirely locally, and is compatible with the Model Context Protocol (MCP). Serves as an alternative to the built-in /compact command or hook-based methods like claude-mem.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude Code who want transparent, local context compaction", "useCases": [ "Compacting conversation context for Claude Code sessions", "Inspecting weight-assigned signals to understand compaction decisions", "Integrating local context compaction into MCP-compatible workflows" ], "pros": [ "Runs locally with no external service dependencies", "Inspectable signal weights provide transparency into compression logic", "MCP-ready enables integration with other tools and interfaces" ], "cons": [ "Single GitHub star indicates minimal adoption and testing", "Requires familiarity with Substrate concepts for effective use", "Alternative to established tools, may lack community support and documentation" ], "tags": [ "ai-memory", "anthropic-claude", "claude-code", "claude-code-plugin", "context-compaction", "context-window", "local-first", "mcp" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-07", "addedAt": "2026-06-07", "officialLink": "https://github.com/zzallirog/weighted-compact", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/zzallirog-weighted-compact" }, { "slug": "clanker-records-crompton-network", "name": "clanker-records/crompton-network", "vendor": "Various", "tagline": "Machine-native listening platform for C.W.A.'s Straight Outta Crompton. Your agent can listen. For real.", "description": "A JavaScript-based listening platform designed for machine agents to monitor and process audio from C.W.A.'s Straight Outta Crompton. It provides a native interface for automated audio analysis and event-driven responses.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building experimental audio-reactive agents for niche music datasets", "useCases": [ "Build agents that react to specific audio cues or lyrics in real time", "Automate metadata extraction and logging from music streams", "Create custom workflows triggered by audio events from the album" ], "pros": [ "Lightweight JavaScript implementation with no external dependencies", "Designed specifically for agent-based automation, not human users", "Open source with zero stars, offering early-stage customization potential" ], "cons": [ "Limited to a single album source, reducing general applicability", "No community adoption or maintenance track record", "Lacks documentation beyond the repository description" ], "tags": [ "ai", "cwa", "hip-hop", "mcp", "model-context-protocol", "music", "stage-api" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-06-08", "addedAt": "2026-06-08", "officialLink": "https://github.com/clanker-records/crompton-network", "relations": { "works_in": [ "aider", "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/clanker-records-crompton-network" }, { "slug": "emiliaprotocol-emilia-protocol", "name": "emiliaprotocol/emilia-protocol", "vendor": "Various", "tagline": "EMILIA Protocol — Trust enforcement for high-risk actions. Open protocol for pre-action binding, policy-bound verification, one-time consumption, and accountable human signoff.", "description": "EMILIA Protocol is an open protocol that enforces trust for high-risk actions. It provides pre-action binding, policy-bound verification, one-time consumption, and accountable human signoff. Built in JavaScript, it aims to add a layer of accountability before executing critical operations.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building systems that need auditable, policy-bound authorization for critical operations", "useCases": [ "Enforcing policy-bound verification for sensitive database writes", "Requiring human signoff before deploying to production", "Implementing one-time consumption tokens for privileged commands" ], "pros": [ "Open protocol with transparent trust enforcement for high-risk actions", "Includes mechanisms for human accountability and policy verification", "Lightweight JavaScript implementation" ], "cons": [ "Very low community adoption (2 GitHub stars) indicating early stage", "Limited documentation and real-world usage examples", "May require significant custom integration for existing systems" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "JavaScript" ], "license": "Apache-2.0", "lastUpdated": "2026-06-08", "addedAt": "2026-06-08", "officialLink": "https://github.com/emiliaprotocol/emilia-protocol", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "executeautomation-playwright-mcp-server", "browsermcp-mcp", "wonderwhy-er-desktopcommandermcp" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/emiliaprotocol-emilia-protocol" }, { "slug": "everstake-mcp", "name": "everstake/mcp", "vendor": "Various", "tagline": "[](https://glama.ai/mcp/servers/everstake/mcp) 🎖️ ☁️ - An MCP server for Everstake's non-custodial staking data across 130+ networks: live APY, uptime metrics, rewards calculator,", "description": "An MCP server that provides non-custodial staking data for over 130 blockchain networks. It exposes live APY, uptime metrics, and a rewards calculator through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need real-time staking data across multiple blockchains", "useCases": [ "Query live staking APY and uptime for a specific network", "Calculate expected staking rewards for a given amount and duration", "Integrate staking metrics into an AI agent or chat interface" ], "pros": [ "Covers a wide range of 130+ networks in a single tool", "Non-custodial focus aligns with self-custody best practices", "Written in Go, offering good performance and easy deployment" ], "cons": [ "Zero GitHub stars suggests limited community adoption or testing", "No custodial or transaction execution features, only data queries", "Requires an MCP-compatible client to be useful" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Go" ], "license": "BSD-3-Clause", "lastUpdated": "2026-05-22", "addedAt": "2026-06-08", "officialLink": "https://github.com/everstake/mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/everstake-mcp" }, { "slug": "infai-tech-vulnfeed-mcp", "name": "infai-tech/vulnfeed-mcp", "vendor": "Various", "tagline": "Dependency vulnerability monitoring MCP server — knows your lockfile, prioritizes by EPSS, recommends fix versions.", "description": "Vulnfeed MCP is a server that monitors dependency vulnerabilities by reading your lockfile. It prioritizes threats using EPSS scores and suggests fix versions. It integrates with MCP-compatible tools to surface actionable security data.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want automated, prioritized vulnerability alerts in their MCP workflow.", "useCases": [ "Scan lockfiles for known vulnerabilities during CI/CD", "Prioritize dependency fixes by EPSS exploit likelihood", "Get recommended upgrade versions for vulnerable packages" ], "pros": [ "Uses EPSS scoring to focus on exploitable vulnerabilities", "Directly suggests fix versions, reducing manual research", "Lightweight Python server that works with MCP clients" ], "cons": [ "No stars or community traction yet, maturity unclear", "Requires MCP-compatible tooling to be useful", "Limited to lockfile-based scanning, no runtime monitoring" ], "tags": [ "claude-code", "dependency-scanning", "epss", "mcp-server", "micropayments", "python", "security", "vulnerability-scanner" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-05-28", "addedAt": "2026-06-08", "officialLink": "https://github.com/infai-tech/vulnfeed-mcp", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/infai-tech-vulnfeed-mcp" }, { "slug": "musharna-data-aggregator-mcp", "name": "musharna/data-aggregator-mcp", "vendor": "Various", "tagline": "Unified research-data acquisition MCP — search & fetch datasets across Zenodo, DataCite, NCBI omics (GEO/SRA/BioProject), and literature (PubMed/OpenAIRE) behind one normalized mod", "description": "A unified MCP server that searches and fetches datasets across Zenodo, DataCite, NCBI omics (GEO/SRA/BioProject), and literature (PubMed/OpenAIRE). It normalizes results into a single model, enabling consistent research-data acquisition from multiple sources.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Researchers and developers building data aggregation tools for scientific datasets", "useCases": [ "Aggregate dataset metadata from multiple scientific repositories in one query", "Fetch normalized research data for literature and omics studies", "Integrate cross-repository search into data analysis pipelines" ], "pros": [ "Unifies multiple major scientific data sources behind a single interface", "Reduces boilerplate for multi-source research data retrieval", "Open source with a simple MCP protocol for integration" ], "cons": [ "Very early stage with only 1 GitHub star and limited community adoption", "Dependency on external APIs that may have rate limits or downtime", "No built-in caching or offline support for repeated queries" ], "tags": [ "bioinformatics", "datacite", "datasets", "mcp", "model-context-protocol", "ncbi", "pubmed", "python" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-07", "addedAt": "2026-06-08", "officialLink": "https://github.com/musharna/data-aggregator-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/musharna-data-aggregator-mcp" }, { "slug": "musharna-plant-genomics-mcp", "name": "musharna/plant-genomics-mcp", "vendor": "Various", "tagline": "Plant genomics MCP server — 32 tools across 11 backends (Ensembl Plants, Phytozome, UniProt, Europe PMC, QuickGO, NCBI BLAST, Gramene, KEGG, STRING-DB, ATTED-II, BAR) + cross-sourc", "description": "A Model Context Protocol server that exposes 32 plant genomics tools across 11 backends including Ensembl Plants, Phytozome, UniProt, Europe PMC, QuickGO, NCBI BLAST, Gramene, KEGG, STRING-DB, ATTED-II, and BAR. It supports stdio and Streamable-HTTP transports and can synthesize results across sources.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents or pipelines that need unified access to plant genomics data", "useCases": [ "Query gene annotations and sequences from multiple plant genomics databases via a single interface", "Run BLAST searches against plant genomes and retrieve functional enrichment data", "Cross-reference gene identifiers and pathway data across Ensembl, KEGG, and STRING-DB" ], "pros": [ "Covers a wide range of major plant genomics databases in one tool", "Supports both local stdio and HTTP streaming transports for flexible integration", "Cross-source synthesis reduces manual data merging" ], "cons": [ "Zero stars and no community traction yet", "Requires running a Python MCP server, adding deployment overhead", "Dependence on external APIs means reliability varies by backend uptime" ], "tags": [ "bioinformatics", "ensembl-plants", "genomics", "kegg", "llm-tools", "mcp", "model-context-protocol", "plant-genomics" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-07", "addedAt": "2026-06-08", "officialLink": "https://github.com/musharna/plant-genomics-mcp", "relations": { "works_in": [ "aider", "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/musharna-plant-genomics-mcp" }, { "slug": "spokenmd-spoken", "name": "spokenmd/spoken", "vendor": "Various", "tagline": "Podcast transcript API — turn any published podcast into clean Markdown with real speaker names. Built for AI agents.", "description": "Spoken is a JavaScript API that converts published podcast episodes into clean Markdown transcripts with accurate speaker attribution. It is designed for AI agents to programmatically access and process podcast content.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to ingest and process podcast transcripts programmatically.", "useCases": [ "Extract structured transcripts from podcast episodes for analysis", "Feed podcast content into AI agents for summarization or search", "Build applications that index or search across multiple podcast shows" ], "pros": [ "Outputs clean Markdown with real speaker names, not generic labels", "Simple API focused on a single, well-defined task", "Open source with a permissive license" ], "cons": [ "Limited to published podcasts only, no live or private audio", "Small community (2 stars) suggests early stage or niche adoption", "No built-in support for non-English or heavily accented speech" ], "tags": [ "ai-agents", "api", "developer-tools", "llm", "markdown", "mcp", "podcast", "rag" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-06-05", "addedAt": "2026-06-08", "officialLink": "https://github.com/spokenmd/spoken", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "microsoft-markitdown" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/spokenmd-spoken" }, { "slug": "tamaspetki-headlesstracker", "name": "tamasPetki/HeadlessTracker", "vendor": "Various", "tagline": "MCP server for crypto portfolio tracking. No dashboard UI — AI hosts render on demand. Bybit, Binance, MetaMask, Solana, Polymarket.", "description": "HeadlessTracker is an MCP server for crypto portfolio tracking that connects to Bybit, Binance, MetaMask, Solana, and Polymarket. It has no dashboard UI; instead, AI hosts render portfolio data on demand via the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need live crypto portfolio data without a traditional dashboard.", "useCases": [ "Query real-time crypto portfolio balances through an AI assistant", "Track positions across multiple exchanges and wallets from a single MCP endpoint", "Integrate portfolio data into custom AI workflows or chat interfaces" ], "pros": [ "Supports major exchanges and wallets out of the box", "Leverages MCP for flexible AI-driven data retrieval", "Lightweight and headless, no UI overhead" ], "cons": [ "Very early stage with only 2 GitHub stars", "Requires an MCP-compatible AI host to render data", "Limited documentation and community support" ], "tags": [ "binance", "bybit", "claude", "crypto", "mcp", "metamask", "model-context-protocol", "polymarket" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-08", "addedAt": "2026-06-08", "officialLink": "https://github.com/tamasPetki/HeadlessTracker", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tamaspetki-headlesstracker" }, { "slug": "teodorofodocrispin-cmyk-intelica-mcp", "name": "teodorofodocrispin-cmyk/intelica-mcp", "vendor": "Various", "tagline": "[](https://glama.ai/mcp/servers/teodorofodocrispin-cmyk/intelica-mcp) 🐍 ☁️ - Competitive intelligence API for autonomous AI agents. Analyzes any URL or company description and ret", "description": "Intelica MCP is a Model Context Protocol server that provides a competitive intelligence API for autonomous AI agents. It accepts a URL or company description and returns structured competitive analysis data.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building autonomous AI agents that need quick, lightweight competitive intelligence from public URLs or company descriptions.", "useCases": [ "Automated competitor profiling from a company's website URL", "Feeding real-time competitive insights into AI copilot workflows", "Enriching market research agents with company descriptions or product pages" ], "pros": [ "Outputs structured intelligence suitable for agent-based automation", "Low friction: accepts any URL or plain-text company description", "Simple MCP integration for Python-based agent frameworks" ], "cons": [ "Zero stars on GitHub suggests limited community adoption or testing", "No documented error handling or usage examples beyond the README", "Relies on an external API whose availability and cost are unclear" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-07", "addedAt": "2026-06-08", "officialLink": "https://github.com/teodorofodocrispin-cmyk/intelica-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/teodorofodocrispin-cmyk-intelica-mcp" }, { "slug": "vaquill-ai-canlii-mcp", "name": "Vaquill-AI/canlii-mcp", "vendor": "Various", "tagline": "MCP server for the CanLII Canadian legal database. Hosted at canlii-mcp.vaquill.ai. Works with Claude, Cursor, VS Code, Windsurf.", "description": "An MCP server that provides access to the CanLII Canadian legal database. It enables AI coding assistants like Claude, Cursor, VS Code, and Windsurf to query legal cases and statutes directly from the development environment.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-assisted legal research tools or integrating Canadian law into coding environments", "useCases": [ "Retrieve Canadian case law and statutes during legal research", "Integrate legal document lookups into AI-assisted coding workflows", "Query CanLII data from within an IDE or chat interface" ], "pros": [ "Works with multiple popular AI coding tools out of the box", "Provides direct access to a comprehensive Canadian legal database", "Simple MCP protocol integration for developers" ], "cons": [ "Low GitHub star count indicates limited community adoption", "Requires running a separate server process", "Dependency on CanLII API availability and rate limits" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-07", "addedAt": "2026-06-08", "officialLink": "https://github.com/Vaquill-AI/canlii-mcp", "relations": { "works_in": [ "cline", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/vaquill-ai-canlii-mcp" }, { "slug": "zw008-vmware-storage", "name": "zw008/VMware-Storage", "vendor": "Various", "tagline": "VMware vSphere storage management: datastores, iSCSI, vSAN. Domain-focused MCP skill with 11 tools.", "description": "A domain-focused MCP skill for VMware vSphere storage management. It provides 11 tools to manage datastores, iSCSI, and vSAN configurations through a Python-based interface.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "VMware administrators who want to script storage management via an MCP assistant", "useCases": [ "Automate datastore provisioning and monitoring", "Configure and manage iSCSI targets and initiators", "Administer vSAN cluster storage policies and health" ], "pros": [ "Targeted toolset for VMware storage tasks", "Integrates with MCP-compatible assistants", "Open source with Python codebase" ], "cons": [ "No community traction or stars on GitHub", "Limited to vSphere storage operations only", "Requires existing MCP infrastructure to use" ], "tags": [ "agent-skills", "ai-skill", "claude-code", "codex", "gemini-cli", "iscsi", "mcp", "nfs" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-08", "addedAt": "2026-06-08", "officialLink": "https://github.com/zw008/VMware-Storage", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/zw008-vmware-storage" }, { "slug": "aayushmdesai-mcp-dotnet-diagnostics", "name": "aayushmdesai/mcp-dotnet-diagnostics", "vendor": "Various", "tagline": "MCP server for .NET runtime diagnostics — memory, GC, threads, and more", "description": "An MCP server that exposes .NET runtime diagnostics data, including memory, garbage collection, and thread information. It allows AI agents to query live .NET processes through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": ".NET developers building AI-assisted debugging and monitoring tools", "useCases": [ "Monitor .NET application memory and GC metrics from an AI assistant", "Debug thread pool and runtime health in production .NET services", "Integrate runtime diagnostics into AI-driven observability workflows" ], "pros": [ "Provides direct access to .NET runtime internals without custom instrumentation", "Leverages the MCP standard for easy integration with AI agents", "Written in C# for seamless compatibility with .NET ecosystems" ], "cons": [ "Zero stars and no community adoption indicates early or experimental stage", "Limited to .NET runtime diagnostics only, not a general-purpose tool", "Requires running an MCP-compatible agent to be useful" ], "tags": [ "ai", "claude", "claude-code", "csharp", "diagnostics", "dotnet", "llm-tools", "mcp" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "C#" ], "license": "MIT", "lastUpdated": "2026-06-09", "addedAt": "2026-06-11", "officialLink": "https://github.com/aayushmdesai/mcp-dotnet-diagnostics", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [ "netdata-netdata-netdata" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/aayushmdesai-mcp-dotnet-diagnostics" }, { "slug": "alexar76-aimarket-plugins", "name": "alexar76/aimarket-plugins", "vendor": "Various", "tagline": "15 AIMarket hub plugins — TEE escrow, channels, reputation, safety, and more.", "description": "A collection of 15 plugins for the AIMarket hub, covering TEE escrow, channels, reputation, and safety. Built in Python, these plugins extend the hub's functionality for decentralized AI agent marketplaces.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building or extending a decentralized AI agent marketplace who need modular plugin components.", "useCases": [ "Integrating trusted execution environment escrow for secure agent transactions", "Adding reputation and safety mechanisms to an AI agent marketplace", "Implementing channel-based communication between agents" ], "pros": [ "Provides ready-to-use plugins for common marketplace features", "Python-based, easy to integrate with existing Python projects", "Covers multiple critical areas like escrow, reputation, and safety" ], "cons": [ "No stars or community traction, indicating limited adoption or testing", "Documentation and usage examples are minimal", "Dependent on the AIMarket hub, which may have its own limitations" ], "tags": [ "ai-agents", "aimarket", "channels", "escrow", "plugins", "python", "reputation", "safety" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-10", "addedAt": "2026-06-11", "officialLink": "https://github.com/alexar76/aimarket-plugins", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/alexar76-aimarket-plugins" }, { "slug": "antonio-mello-ai-mcp-redis-monitor", "name": "antonio-mello-ai/mcp-redis-monitor", "vendor": "Various", "tagline": "MCP server for redis-monitor", "description": "A minimal MCP server that wraps redis-monitor, allowing AI agents to query Redis server metrics and activity. It exposes monitoring commands through the Model Context Protocol for integration with compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with MCP-based monitoring agents for Redis", "useCases": [ "Check Redis server health and uptime from an AI agent", "Monitor real-time command throughput and latency", "Alert on slow queries or connection issues via agent workflows" ], "pros": [ "Lightweight Python implementation with few dependencies", "Direct integration with MCP-compatible AI tools", "Provides real-time Redis monitoring data on demand" ], "cons": [ "Very early stage with only 2 GitHub stars and limited community", "No documentation beyond the repository description", "Requires a running Redis instance and manual setup" ], "tags": [ "felhen", "mcp-server" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-04", "addedAt": "2026-06-11", "officialLink": "https://github.com/antonio-mello-ai/mcp-redis-monitor", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/antonio-mello-ai-mcp-redis-monitor" }, { "slug": "ap311036-ews-meeting-mcp", "name": "ap311036/ews-meeting-mcp", "vendor": "Various", "tagline": "MCP server and CLI for scheduling meetings through on-prem Exchange EWS", "description": "A Python-based MCP server and CLI that schedules meetings through on-prem Exchange Web Services (EWS). It exposes meeting creation as a tool callable by MCP-compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing to schedule meetings on on-prem Exchange via MCP", "useCases": [ "Create meetings on on-prem Exchange from an MCP client", "Automate meeting scheduling via CLI scripts", "Integrate calendar booking into AI agent workflows" ], "pros": [ "Direct support for on-prem Exchange EWS", "Simple MCP interface for programmatic meeting creation", "Lightweight Python implementation" ], "cons": [ "Very low community adoption (2 stars)", "Limited to on-prem Exchange, no Office 365 support", "No documented error handling or authentication details" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-11", "addedAt": "2026-06-11", "officialLink": "https://github.com/ap311036/ews-meeting-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ap311036-ews-meeting-mcp" }, { "slug": "archerkattri-mathlas", "name": "Archerkattri/mathlas", "vendor": "Various", "tagline": "Airtight math tools an AI uses over MCP — 3.7M-theorem search, PSLQ constant ID, OEIS, real Lean kernel checks, applicability checklists. No LLM inside, no API key.", "description": "A set of airtight math tools accessible via the Model Context Protocol (MCP). It provides theorem search over 3.7 million theorems, PSLQ constant identification, OEIS lookup, real Lean kernel checks, and applicability checklists. The tool contains no LLM and requires no API key, running entirely locally.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need rigorous mathematical verification without relying on an LLM.", "useCases": [ "Verifying mathematical conjectures with automated theorem search.", "Identifying unknown constants using PSLQ algorithm.", "Checking mathematical statements against the Lean kernel for correctness." ], "pros": [ "No external API dependencies, runs fully offline.", "Integrates multiple rigorous math tools into a single MCP interface.", "Provides applicability checklists to guide appropriate use." ], "cons": [ "Very early stage project with only 1 star and limited community support.", "Requires understanding of MCP and local setup.", "Coverage may be limited to specific theorem databases and constant identification methods." ], "tags": [ "ai-tools", "claude", "formal-verification", "lean4", "math", "mcp-server", "retrieval", "theorem-search" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "Apache-2.0", "lastUpdated": "2026-06-11", "addedAt": "2026-06-11", "officialLink": "https://github.com/Archerkattri/mathlas", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/archerkattri-mathlas" }, { "slug": "autario-autario-mcp", "name": "Autario/autario-mcp", "vendor": "Various", "tagline": "Autario MCP server | Query 2,500+ verified datasets from your AI agent", "description": "Autario MCP server enables AI agents to query over 2,500 verified datasets. It is built in JavaScript and provides a standardized interface for agents to access structured data.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need access to a broad range of public datasets", "useCases": [ "Integrate verified datasets into AI agent workflows", "Query public data sources from a chat interface", "Automate data retrieval for analysis or reporting" ], "pros": [ "Large library of verified datasets", "Standard MCP protocol for easy integration", "Open source and free to use" ], "cons": [ "No community traction (0 stars)", "Limited documentation or examples", "Dependency on external dataset availability and quality" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "lastUpdated": "2026-06-09", "addedAt": "2026-06-11", "officialLink": "https://github.com/Autario/autario-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/autario-autario-mcp" }, { "slug": "azmartone67-dchub-mcp-server", "name": "azmartone67/dchub-mcp-server", "vendor": "Various", "tagline": "Data-center intelligence MCP server — 38 tools, 21,000+ data-center facilities (170+ countries), 232 US power markets (DC Hub Power Index), 2,000+ tracked M&A deals, ISO grid telem", "description": "This MCP server provides tools for querying data-center intelligence, including over 21,000 facilities across 170 countries, 232 US power markets, and 2,000 tracked M&A deals. It also exposes ISO grid telemetry and fiber/energy pricing. The dataset is free to use with attribution under CC-BY-4.0.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing programmatic access to data-center intelligence for market analysis or infrastructure planning", "useCases": [ "Retrieve facility details for a specific country or region", "Analyze ISO grid telemetry for US power markets", "Look up recent M&A deals in the data-center sector" ], "pros": [ "Comprehensive global facility and market data in a single MCP server", "Includes both infrastructure and pricing data useful for cost analysis", "CC-BY-4.0 license allows free reuse with attribution" ], "cons": [ "Zero stars indicates early stage with limited community validation", "No information on data update frequency or accuracy guarantees", "Documentation and examples may be sparse due to new project" ], "tags": [ "ai-tools", "anthropic", "claude", "data-center", "datacenter", "energy", "fiber", "infrastructure" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-06-11", "addedAt": "2026-06-11", "officialLink": "https://github.com/azmartone67/dchub-mcp-server", "relations": { "works_in": [ "cline", "continue", "claude-code" ], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/azmartone67-dchub-mcp-server" }, { "slug": "basicmachines-co-basic-memory", "name": "basicmachines-co/basic-memory", "vendor": "Various", "tagline": "AI conversations that actually remember. Never re-explain your project to your AI again. Join our Discord: https://discord.gg/tyvKNccgqN", "description": "Basic Memory is an open-source Python tool that gives AI assistants persistent memory across conversations. It stores structured knowledge about your projects and preferences so you don't have to re-explain context each time.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who frequently use AI assistants and want to avoid repeating project context", "useCases": [ "Maintaining consistent project context across multiple AI chat sessions", "Building a personal knowledge base that your AI assistant can reference", "Avoiding repetitive explanations of codebases, workflows, or preferences" ], "pros": [ "Eliminates the need to re-state project details in every conversation", "Open-source with a growing community (over 3,000 GitHub stars)", "Simple Python-based setup for developers" ], "cons": [ "Requires manual setup and integration with your AI workflow", "Memory persistence depends on how well you structure the stored knowledge", "Limited to Python environments and may not work with all AI tools out of the box" ], "tags": [ "ai", "claude", "knowledge-management", "knowlege-graph", "llm", "local-first", "markdown", "mcp" ], "featured": false, "tier": "curated", "stars": 3192, "language": [ "Python" ], "license": "AGPL-3.0", "lastUpdated": "2026-06-11", "addedAt": "2026-06-11", "officialLink": "https://github.com/basicmachines-co/basic-memory", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "upstash-context7", "vectorize-io-hindsight", "topoteretes-cognee" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/basicmachines-co-basic-memory" }, { "slug": "bebravebekind-mcpskills-server", "name": "BeBraveBeKind/mcpskills-server", "vendor": "Various", "tagline": "Pre-install trust layer for MCP servers, AI skills & npm packages — the @mcpskillsio/server MCP server (io.mcpskills/server).", "description": "A pre-install trust layer for MCP servers, AI skills, and npm packages. It is implemented as the @mcpskillsio/server MCP server (io.mcpskills/server) and runs in JavaScript environments. The tool aims to verify the trustworthiness of components before they are installed.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a pre-install trust layer for MCP servers and related components", "useCases": [ "Verifying trust of MCP servers before deployment", "Screening AI skill packages for security issues", "Adding a trust check step to npm package installations" ], "pros": [ "Unified trust verification for three different software types", "Integrates directly with the MCP ecosystem", "Open source and publicly available on GitHub" ], "cons": [ "Zero stars indicates very limited community adoption so far", "Requires integration and may not work out-of-box with all workflows", "Trust mechanism depends on the specific implementation and may need vetting" ], "tags": [ "ai", "claude", "mcp", "mcp-server", "model-context-protocol", "security", "trust-scoring" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-06-09", "addedAt": "2026-06-11", "officialLink": "https://github.com/BeBraveBeKind/mcpskills-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/bebravebekind-mcpskills-server" }, { "slug": "bvisible-mcp-ssh-manager", "name": "bvisible/mcp-ssh-manager", "vendor": "Various", "tagline": "MCP SSH Server: 37 tools for remote SSH management | Claude Code & OpenAI Codex | DevOps automation, backups, database operations, health monitoring", "description": "bvisible/mcp-ssh-manager is an MCP server that exposes 37 tools for remote SSH management. It integrates with Claude Code and OpenAI Codex to enable AI-driven DevOps automation, backups, database operations, and health monitoring. The toolset is implemented in JavaScript and provides a programmatic interface for SSH tasks.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using AI assistants for remote server management", "useCases": [ "Automate server maintenance and configuration via AI assistants", "Run remote database backups and execute queries", "Monitor server health and trigger automated responses" ], "pros": [ "Large toolset with 37 SSH management tools", "Integrates directly with popular AI coding assistants", "Open source and built in JavaScript" ], "cons": [ "Requires an MCP-compatible client to function", "SSH access introduces security considerations", "Limited to the JavaScript ecosystem" ], "tags": [ "anthropic", "automation", "backup", "claude-code", "database", "deployment", "devops", "erpnext" ], "featured": false, "tier": "curated", "stars": 242, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-06-09", "addedAt": "2026-06-11", "officialLink": "https://github.com/bvisible/mcp-ssh-manager", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/bvisible-mcp-ssh-manager" }, { "slug": "coinrithm-coinrithm-agent-trading", "name": "CoinRithm/coinrithm-agent-trading", "vendor": "Various", "tagline": "Let any AI agent (Claude, ChatGPT/Codex, Gemini) paper-trade on CoinRithm with a key you mint and control. Hosted MCP, local MCP, OpenAPI, skill + prompts.", "description": "CoinRithm/coinrithm-agent-trading lets any AI agent like Claude, ChatGPT/Codex, or Gemini paper-trade on CoinRithm using a key you mint and control. It provides hosted and local MCP servers, an OpenAPI interface, and skill prompts for agent integration.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need paper trading on CoinRithm", "useCases": [ "Connect an AI agent to a CoinRithm paper trading account", "Test trading strategies with agent-driven simulated trades", "Integrate trading capabilities into custom agent workflows" ], "pros": [ "Supports multiple agent platforms (Claude, ChatGPT, Gemini)", "Flexible deployment with hosted and local MCP options", "User controls the minted key for access management" ], "cons": [ "Only supports paper trading, not live trading", "Limited to CoinRithm platform, not general exchange", "Low community adoption with only 1 star on GitHub" ], "tags": [ "agent-trading", "ai-agent", "chatgpt", "claude", "crypto", "cursor", "futures", "kalshi" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-10", "addedAt": "2026-06-11", "officialLink": "https://github.com/CoinRithm/coinrithm-agent-trading", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/coinrithm-coinrithm-agent-trading" }, { "slug": "crawlora-org-crawlora-mcp", "name": "Crawlora-org/crawlora-mcp", "vendor": "Various", "tagline": "Hosted MCP server for structured public web data — 319 tools across search, maps, commerce, social & finance, returning clean JSON.", "description": "Crawlora-org/crawlora-mcp is a hosted MCP server that provides 319 tools for extracting structured public web data. It covers search, maps, commerce, social, and finance sources, returning clean JSON.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a broad, ready-to-use MCP server for scraping public web data", "useCases": [ "Scrape product listings and pricing from e-commerce sites", "Extract business data from maps and local directories", "Collect social media posts or financial data for analysis" ], "pros": [ "Large toolset covering many data sources", "Returns structured JSON, easy to integrate", "Hosted service reduces infrastructure overhead" ], "cons": [ "No public stars or community activity on GitHub", "Dependency on external hosting may limit customization", "Documentation and support may be sparse" ], "tags": [ "ai-agents", "api", "crawlora", "data-extraction", "mcp", "model-context-protocol", "serp-api", "web-scraping" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-06-11", "addedAt": "2026-06-11", "officialLink": "https://github.com/Crawlora-org/crawlora-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [ "exa-labs-exa-mcp-server" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/crawlora-org-crawlora-mcp" }, { "slug": "dissimilis-dirforge", "name": "Dissimilis/DirForge", "vendor": "Various", "tagline": "Simple, yet useful read-only directory browsing web app", "description": "DirForge is a simple read-only directory browsing web application written in C#. It provides a web interface to navigate and view file listings on a server without write capabilities.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a quick, secure directory viewer for internal or development environments", "useCases": [ "Quickly browse server directories via a web browser", "View file listings and metadata in a read-only mode", "Set up a lightweight file explorer for development or internal use" ], "pros": [ "Simple and lightweight, easy to deploy", "Read-only access enhances security by preventing modifications", "Written in C#, integrates well with .NET environments" ], "cons": [ "Limited to read-only browsing, no file upload or edit features", "Low star count may indicate limited community support or updates", "No advanced search or filtering capabilities" ], "tags": [ "docker", "file-browser", "file-sharing", "homelab", "mcp", "mcp-server", "nas", "s3" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "C#" ], "license": "MIT", "lastUpdated": "2026-06-10", "addedAt": "2026-06-11", "officialLink": "https://github.com/Dissimilis/DirForge", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "mickaelkerjean-filestash" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/dissimilis-dirforge" }, { "slug": "dmang-dev-mcp-bizhawk", "name": "dmang-dev/mcp-bizhawk", "vendor": "Various", "tagline": "MCP server for BizHawk — drive NES/SNES/GB/GBC/GBA/Genesis/N64/PSX/Saturn and more through one Lua bridge", "description": "MCP server that connects AI tools to the BizHawk emulator through a single Lua bridge. Supports a wide range of consoles including NES, SNES, Game Boy, Genesis, N64, PlayStation, Saturn, and more. Enables programmatic control of emulator state for automation or AI experimentation.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers integrating AI agents with retro game emulators for research or automation", "useCases": [ "Automating gameplay testing across multiple retro consoles", "Building AI agents that interact with emulated games", "Scripting tool-assisted speedrun routines via MCP" ], "pros": [ "Supports a broad range of retro consoles through one interface", "Written in TypeScript for type safety and developer familiarity", "Leverages BizHawk's robust Lua scripting for emulator control" ], "cons": [ "Zero stars indicates a very new or untested project", "Requires local BizHawk setup and Lua scripting knowledge", "MCP adoption is still limited, reducing immediate interoperability" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-11", "addedAt": "2026-06-11", "officialLink": "https://github.com/dmang-dev/mcp-bizhawk", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/dmang-dev-mcp-bizhawk" }, { "slug": "dmang-dev-mcp-dolphin", "name": "dmang-dev/mcp-dolphin", "vendor": "Various", "tagline": "MCP server for Dolphin (GameCube + Wii) — drives memory r/w, controllers, savestate, frame advance via Felk's Python-scripting Dolphin fork", "description": "An MCP server that interfaces with a Python-scriptable fork of the Dolphin emulator, enabling read/write access to GameCube and Wii memory, controller input, savestate management, and frame advance. It uses TypeScript to expose these emulator capabilities as tools for AI agents.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-assisted tooling for emulator-based game testing, TAS creation, or memory analysis on GameCube/Wii", "useCases": [ "Automate memory editing and savestate loading for speedrun testing", "Script controller inputs and frame-advance for TAS (tool-assisted speedrun) creation", "Build AI agents that interact with emulated GameCube/Wii games in real time" ], "pros": [ "Direct low-level access to emulator internals (memory, savestates, frame advance)", "Leverages Felk's well-maintained Python-scripting Dolphin fork for reliability", "TypeScript MCP server integrates easily with existing MCP-compatible AI toolchains" ], "cons": [ "Requires a specific Dolphin fork (Felk's Python-scripting version), not stock Dolphin", "Zero stars and no community adoption yet, so support and stability are unproven", "Limited to GameCube and Wii titles only, no other platforms" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-11", "addedAt": "2026-06-11", "officialLink": "https://github.com/dmang-dev/mcp-dolphin", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/dmang-dev-mcp-dolphin" }, { "slug": "dmang-dev-mcp-ppsspp", "name": "dmang-dev/mcp-ppsspp", "vendor": "Various", "tagline": "MCP server for PPSSPP — drive PSP games through PPSSPP's built-in WebSocket debugger", "description": "An MCP server that connects to PPSSPP's built-in WebSocket debugger, allowing you to control PSP games programmatically. It exposes actions like loading save states, sending button inputs, and reading emulator state through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers experimenting with emulator automation or building AI agents for PSP game interaction", "useCases": [ "Automate PSP game testing by scripting save state loads and input sequences", "Build AI agents that can play or analyze PSP games via PPSSPP", "Integrate PPSSPP debugging into larger toolchains for emulator research" ], "pros": [ "Leverages PPSSPP's official WebSocket debugger for reliable control", "Written in TypeScript with clear MCP integration patterns", "Small, focused codebase easy to extend or audit" ], "cons": [ "Very early stage with only 2 GitHub stars and limited community validation", "Requires PPSSPP running with WebSocket debugger enabled and configured", "No documentation beyond the README; may lack error handling for edge cases" ], "tags": [], "featured": false, "tier": "curated", "stars": 2, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-11", "addedAt": "2026-06-11", "officialLink": "https://github.com/dmang-dev/mcp-ppsspp", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/dmang-dev-mcp-ppsspp" }, { "slug": "dmang-dev-mcp-retroarch", "name": "dmang-dev/mcp-retroarch", "vendor": "Various", "tagline": "MCP server for RetroArch — exposes memory r/w, save state, screenshot, pause/frameadvance/reset via the Network Control Interface", "description": "An MCP server that interfaces with RetroArch via its Network Control Interface. It exposes memory read/write, save state management, screenshots, and emulation controls like pause, frame advance, and reset.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building automation or debugging tools for retro game emulation", "useCases": [ "Automating memory manipulation for retro game testing", "Integrating emulator control into developer tooling or CI pipelines", "Building debugging and reverse engineering tools for classic games" ], "pros": [ "Written in TypeScript for type safety and easy integration", "Direct memory read/write access for deep emulation control", "Uses standard MCP protocol for composability with other tools" ], "cons": [ "Very early stage with only 1 star and limited community", "Requires RetroArch's network interface to be enabled and configured", "Tied to RetroArch only and not portable to other emulators" ], "tags": [ "claude", "emulator", "libretro", "mcp", "model-context-protocol", "retroarch", "typescript" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-11", "addedAt": "2026-06-11", "officialLink": "https://github.com/dmang-dev/mcp-retroarch", "relations": { "works_in": [ "cline", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/dmang-dev-mcp-retroarch" }, { "slug": "dodopayments-dodo-agent-plugin", "name": "dodopayments/dodo-agent-plugin", "vendor": "Various", "tagline": "Official Dodo Payments Plugin for Claude Code", "description": "An official plugin that integrates Dodo Payments with Claude Code, enabling developers to handle payment operations directly from the CLI. It wraps Dodo Payments API calls into Claude Code actions for streamlined billing workflows.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers already using Claude Code who need quick payment API access without leaving their terminal", "useCases": [ "Create and manage payment links from Claude Code", "Process refunds or check transaction status without leaving the terminal", "Automate recurring billing setup during development sessions" ], "pros": [ "Official plugin maintained by Dodo Payments, ensuring API compatibility", "Reduces context switching by keeping payment tasks inside Claude Code", "Lightweight JavaScript implementation with minimal dependencies" ], "cons": [ "Very early stage with only 2 GitHub stars and limited community validation", "Requires Claude Code environment, not a standalone tool", "No documentation beyond the repository README at this time" ], "tags": [ "claude", "codex", "dodopayments", "opencode", "plugin" ], "featured": false, "tier": "curated", "stars": 2, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-06-09", "addedAt": "2026-06-11", "officialLink": "https://github.com/dodopayments/dodo-agent-plugin", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/dodopayments-dodo-agent-plugin" }, { "slug": "drashrafsaiyed-cyber-instagram-mcp", "name": "drashrafsaiyed-cyber/instagram-mcp", "vendor": "Various", "tagline": "Instagram MCP server — control Instagram via Claude Desktop & Claude Web", "description": "This MCP server lets you control Instagram through Claude Desktop and Claude Web. It uses Python to expose Instagram actions as tools that an AI assistant can invoke.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to experiment with AI-controlled Instagram automation via Claude", "useCases": [ "Automate Instagram posting and messaging via Claude", "Build AI-driven Instagram content workflows", "Integrate Instagram actions into Claude-based assistants" ], "pros": [ "Enables direct Instagram control from Claude interfaces", "Simple Python implementation for easy customization", "Leverages the MCP protocol for standardized tool integration" ], "cons": [ "Zero stars and no community validation yet", "Limited documentation and usage examples", "Dependent on Instagram's API stability and terms of service" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-08", "addedAt": "2026-06-11", "officialLink": "https://github.com/drashrafsaiyed-cyber/instagram-mcp", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/drashrafsaiyed-cyber-instagram-mcp" }, { "slug": "eliasfire617-crypto-market-data-mcp", "name": "eliasfire617/crypto-market-data-mcp", "vendor": "Various", "tagline": "Read-only crypto market data MCP server (price, funding rates, open interest, long/short, order book, candles) across major exchanges via CCXT.", "description": "A read-only MCP server that provides crypto market data including price, funding rates, open interest, long/short ratios, order book snapshots, and candlestick data. It aggregates data from major exchanges through the CCXT library, making it accessible via the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building crypto trading tools or analytics dashboards that need standardized market data from multiple exchanges.", "useCases": [ "Fetch real-time price and order book data for trading bots", "Monitor funding rates and open interest across exchanges", "Retrieve historical candlestick data for backtesting strategies" ], "pros": [ "Supports multiple exchanges through a single CCXT interface", "Read-only design reduces risk of accidental trades", "Lightweight Python server easy to integrate with MCP clients" ], "cons": [ "No write capabilities for executing trades or placing orders", "Dependent on CCXT library for exchange connectivity and rate limits", "Limited to market data only, no on-chain or DeFi metrics" ], "tags": [ "ai-agents", "ccxt", "crypto", "funding-rate", "market-data", "mcp", "model-context-protocol", "trading" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-10", "addedAt": "2026-06-11", "officialLink": "https://github.com/eliasfire617/crypto-market-data-mcp", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/eliasfire617-crypto-market-data-mcp" }, { "slug": "fenghaochang-loreroom", "name": "fenghaochang/LoreRoom", "vendor": "Various", "tagline": "Encrypted, bidirectional local memory for your Claude Code Telegram bot — captures both sides at the plugin source, recalls via MCP.", "description": "LoreRoom is a TypeScript plugin that provides encrypted, bidirectional local memory for a Claude Code Telegram bot. It captures both sides of the conversation at the plugin source and recalls history via the Model Context Protocol (MCP). The memory is stored locally and encrypted for security.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need persistent, private memory for their Claude Code Telegram bot", "useCases": [ "Store conversation history for a Claude Code Telegram bot", "Recall past user and assistant messages via MCP", "Maintain persistent memory across Telegram chat sessions" ], "pros": [ "Encrypted local storage enhances privacy", "Bidirectional capture includes both user and bot messages", "MCP integration enables structured recall" ], "cons": [ "Requires specific setup for Claude Code Telegram bot", "Low adoption with only 1 star on GitHub", "Limited documentation and community support" ], "tags": [ "claude-code", "encryption", "mcp", "memory", "model-context-protocol", "sqlite", "telegram", "telegram-bot" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-08", "addedAt": "2026-06-11", "officialLink": "https://github.com/fenghaochang/LoreRoom", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "upstash-context7", "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/fenghaochang-loreroom" }, { "slug": "filetopdf-filetopdf-mcp", "name": "FileToPDF/filetopdf-mcp", "vendor": "Various", "tagline": "MCP server for FileToPDF — convert files, HTML & Markdown to PDF from any MCP client", "description": "An MCP server that converts files, HTML, and Markdown to PDF through any MCP client. It acts as a bridge between AI assistants or development tools and FileToPDF's conversion engine. Built in TypeScript for server-side execution.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-assisted document workflows who need PDF output via MCP.", "useCases": [ "Convert HTML documents to PDF from an AI chat interface", "Generate PDF reports from Markdown files programmatically", "Integrate PDF conversion into workflows that use the Model Context Protocol" ], "pros": [ "Works with any MCP-compatible client for flexible integration", "Lightweight TypeScript implementation easy to run or extend", "Targeted at a specific conversion task without unnecessary complexity" ], "cons": [ "Zero stars on GitHub indicates very limited community adoption or testing", "Dependent on the MCP ecosystem which is still emerging", "May not support advanced PDF features like custom fonts or complex layouts" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-10", "addedAt": "2026-06-11", "officialLink": "https://github.com/FileToPDF/filetopdf-mcp", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [ "microsoft-markitdown" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/filetopdf-filetopdf-mcp" }, { "slug": "forgemeshlabs-aso-audit-mcp", "name": "forgemeshlabs/aso-audit-mcp", "vendor": "Various", "tagline": "ASO audit MCP server for Agent Signal Optimization readiness scanning", "description": "An MCP server that scans for Agent Signal Optimization readiness. It audits a codebase to identify areas where signals can be optimized for AI agents. The tool is written in TypeScript and integrates with MCP-compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building agent-based systems who need to verify signal readiness", "useCases": [ "Audit a codebase for ASO readiness before deploying agent workflows", "Identify missing or suboptimal signals in existing projects", "Integrate ASO scanning into CI/CD pipelines via MCP" ], "pros": [ "Fills a niche need for agent signal optimization auditing", "Lightweight TypeScript implementation with MCP standard", "Open source with no vendor lock-in" ], "cons": [ "Zero stars and no community adoption yet", "Limited documentation or examples available", "Narrow use case may not apply to most projects" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-10", "addedAt": "2026-06-11", "officialLink": "https://github.com/forgemeshlabs/aso-audit-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/forgemeshlabs-aso-audit-mcp" }, { "slug": "gabrielmahia-mpesa-mcp", "name": "gabrielmahia/mpesa-mcp", "vendor": "Various", "tagline": "MCP server for M-Pesa (Safaricom Daraja) and Africa's Talking — give AI agents East African fintech superpowers", "description": "MCP server that wraps the M-Pesa (Safaricom Daraja) and Africa's Talking APIs into the Model Context Protocol. This allows AI agents to programmatically initiate payments, query balances, and send messages within East African fintech ecosystems.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that interact with East African mobile money and SMS services.", "useCases": [ "Trigger M-Pesa payments from AI agent workflows", "Query transaction history via Africa's Talking SMS", "Automate mobile money operations for customer service bots" ], "pros": [ "Direct MCP integration for standard AI agent access", "Combines two popular East African fintech APIs in one server", "Written in Python, easy to extend" ], "cons": [ "Very early stage with minimal community adoption (1 star)", "Limited documentation and may lack comprehensive error handling", "Dependence on external API credentials and M-Pesa sandbox setup" ], "tags": [ "ai-agents", "daraja", "fintech", "kenya", "mcp", "mpesa", "open-source", "pypi" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-05", "addedAt": "2026-06-11", "officialLink": "https://github.com/gabrielmahia/mpesa-mcp", "relations": { "works_in": [ "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/gabrielmahia-mpesa-mcp" }, { "slug": "graphpilot-oss-graphpilot", "name": "graphpilot-oss/graphpilot", "vendor": "Various", "tagline": "Structural memory for coding agents — index your repo once, query symbols, callers, and call-edges over MCP.", "description": "An open-source tool that indexes a repository once and exposes structural code information (symbols, callers, call edges) via the Model Context Protocol (MCP). Implemented in TypeScript, it acts as a semantic cache for coding agents to query code relationships without re-parsing.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers prototyping or building MCP-based coding agents that need structural code context.", "useCases": [ "Equip coding agents with a lightweight repo-wide symbol index", "Query call edges to trace function usage across a codebase", "Retrieve caller and callee lists for refactoring or dependency analysis" ], "pros": [ "Single-index design reduces repeated parsing overhead for agents", "Uses standard MCP, making it integrable with MCP-compatible agents", "Minimal dependency footprint (pure TypeScript)" ], "cons": [ "Very early stage with only 10 GitHub stars and limited community validation", "No evidence of support for languages beyond the tool's own implementation language (TypeScript)", "Requires manual indexing step before queries are possible" ], "tags": [ "claude-code", "code-analysis", "coding-agents", "developer-tools", "mcp", "model-context-protocol", "typescript" ], "featured": false, "tier": "curated", "stars": 10, "language": [ "TypeScript" ], "license": "Apache-2.0", "lastUpdated": "2026-06-10", "addedAt": "2026-06-11", "officialLink": "https://github.com/graphpilot-oss/graphpilot", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/graphpilot-oss-graphpilot" }, { "slug": "helbertparanhos-resend-email-mcp", "name": "helbertparanhos/resend-email-mcp", "vendor": "Various", "tagline": "The most complete MCP server for the Resend email API — full API coverage plus a unique debug/diagnostics layer.", "description": "This MCP server wraps the Resend email API with complete endpoint coverage and a built-in debug/diagnostics layer. Built in TypeScript, it exposes email functionality through the Model Context Protocol for integration with MCP-compatible clients.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building MCP-powered tools that need reliable email sending and debugging", "useCases": [ "Send transactional emails through the Resend API via MCP", "Diagnose email delivery failures using the debug layer", "Integrate Resend email features into MCP-enabled applications" ], "pros": [ "Full coverage of Resend API endpoints in one server", "Includes a debug/diagnostics layer for troubleshooting", "Simple integration with any MCP-compatible client" ], "cons": [ "New project with no stars, limited community validation", "Requires an MCP client to leverage the server", "Tied exclusively to the Resend email provider" ], "tags": [ "claude", "claude-code", "cursor", "deliverability", "email", "mcp", "model-context-protocol", "resend" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-09", "addedAt": "2026-06-11", "officialLink": "https://github.com/helbertparanhos/resend-email-mcp", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/helbertparanhos-resend-email-mcp" }, { "slug": "ionos-cloud-ionoscloud-mcp", "name": "ionos-cloud/ionoscloud-mcp", "vendor": "Various", "tagline": "This project implements an MCP server to interact with ionos cloud resources.", "description": "An MCP server written in Go that enables programmatic interaction with IONOS cloud resources. It exposes cloud management operations through the Model Context Protocol for use with compatible AI agents and tools.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using IONOS cloud who want to manage resources through MCP-compatible AI assistants or automation tools.", "useCases": [ "Automate provisioning and management of IONOS cloud infrastructure via MCP clients", "Integrate IONOS resource operations into AI agent workflows", "Script cloud resource lifecycle tasks using Go-based MCP server" ], "pros": [ "Lightweight Go implementation with minimal dependencies", "Standard MCP protocol enables broad client compatibility", "Directly targets IONOS cloud without third-party wrappers" ], "cons": [ "Limited to IONOS cloud ecosystem only", "Small community and low star count indicate early-stage project", "Documentation and examples may be sparse" ], "tags": [ "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 5, "language": [ "Go" ], "license": "Apache-2.0", "lastUpdated": "2026-06-11", "addedAt": "2026-06-11", "officialLink": "https://github.com/ionos-cloud/ionoscloud-mcp", "relations": { "works_in": [ "claude-code", "cline", "aider" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "awslabs-mcp", "googleapis-genai-toolbox" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/ionos-cloud-ionoscloud-mcp" }, { "slug": "jayofemi-shikamaru", "name": "JayOfemi/shikamaru", "vendor": "Various", "tagline": "Provably correct day-count and accrued-interest calculations.", "description": "A TypeScript library that provides provably correct implementations of day-count conventions and accrued-interest calculations. It uses formal methods to guarantee the correctness of financial date arithmetic.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building financial tools that require provably correct day-count and interest computations.", "useCases": [ "Computing accrued interest for bond settlements using actual/actual or 30/360 conventions.", "Verifying day-count fractions in financial contracts or derivatives pricing.", "Building auditable financial applications that require provable correctness." ], "pros": [ "Formal correctness guarantees reduce the risk of calculation bugs.", "Written in TypeScript with type safety and clear interfaces.", "Targets a specific, common financial need with precision." ], "cons": [ "No stars or community adoption yet, making reliability unproven in production.", "Narrow scope: only day-count and interest calculations, not a full finance library.", "Lack of documentation and examples beyond the repository README." ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-10", "addedAt": "2026-06-11", "officialLink": "https://github.com/JayOfemi/shikamaru", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jayofemi-shikamaru" }, { "slug": "jeongseongmok-tossinvest-openapi-mcp", "name": "JeongSeongMok/tossinvest-openapi-mcp", "vendor": "Various", "tagline": "토스증권 Open API(Toss Securities Open API)를 AI 에이전트가 쉽게 탐색·연동하도록 돕는 MCP 서버 (stdio). Claude·Cursor·Codex 지원.", "description": "An MCP server that exposes the Toss Securities Open API to AI agents via stdio. It allows tools like Claude, Cursor, and Codex to query and interact with Korean securities data and trading functions. Built in TypeScript, it follows the Model Context Protocol for standardized integration.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants for Korean securities trading", "useCases": [ "Automate financial data retrieval from Toss Securities", "Integrate trading prompts into AI coding assistants", "Build AI agents that can research Korean stock market" ], "pros": [ "Direct integration with popular AI development tools", "Standard MCP protocol enables interoperability", "TypeScript codebase easy to customize and extend" ], "cons": [ "Only supports stdio transport, no network streaming", "Requires a Toss Securities API key and Korean brokerage account", "Limited adoption (1 star) may indicate early or unstable state" ], "tags": [ "ai-agents", "claude", "codex", "cursor", "fintech", "korea", "llm-tools", "mcp" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-10", "addedAt": "2026-06-11", "officialLink": "https://github.com/JeongSeongMok/tossinvest-openapi-mcp", "relations": { "works_in": [ "claude-code", "cline", "continue", "aider" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jeongseongmok-tossinvest-openapi-mcp" }, { "slug": "jobicy-remote-jobs-mcp-server", "name": "Jobicy/remote-jobs-mcp-server", "vendor": "Various", "tagline": "Official Model Context Protocol (MCP) server to search, filter, and retrieve live remote job listings from the Jobicy database in real-time. Works with Claude Code, Cursor, Cline,", "description": "An MCP server that allows AI assistants to search, filter, and retrieve live remote job listings from the Jobicy database in real-time. It integrates with Claude Code, Cursor, Cline, and custom AI agents via the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need live remote job search capabilities", "useCases": [ "Searching for remote jobs by keyword or category", "Filtering job listings by location, salary, or company", "Retrieving up-to-date job postings directly into AI chat interfaces" ], "pros": [ "Provides real-time access to live remote job data", "Compatible with multiple AI assistants via the standard MCP interface", "Easy to set up as a tool for job search automation" ], "cons": [ "Limited to remote jobs only, no on-site or hybrid listings", "Relies on the Jobicy database, which may have limited coverage", "Low GitHub star count indicates an early-stage project with potential stability risks" ], "tags": [ "ai-agents", "anthropic-mcp", "mcp", "mcp-server", "model-context-protocol", "remote-jobs" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-06-10", "addedAt": "2026-06-11", "officialLink": "https://github.com/Jobicy/remote-jobs-mcp-server", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jobicy-remote-jobs-mcp-server" }, { "slug": "jott2121-agent-gate", "name": "Jott2121/agent-gate", "vendor": "Various", "tagline": "MCP server that adds a fail-closed quality gate and hash-chained receipt ledger to any AI agent workflow.", "description": "Agent-gate is an MCP server that enforces a fail-closed quality gate on AI agent outputs and maintains a hash-chained receipt ledger for auditability. It integrates into existing MCP-compatible agent workflows to block low-quality responses and create an immutable log of decisions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers deploying MCP-based AI agents that need output quality control and an immutable audit trail", "useCases": [ "Blocking agent outputs that fail a predefined quality threshold", "Generating tamper-proof receipts for each agent action", "Integrating quality control and auditing into MCP-based agent pipelines" ], "pros": [ "Fail-closed gate prevents low-quality or unsafe outputs from reaching users", "Hash-chained ledger provides a verifiable, immutable audit trail", "Lightweight Python server that is easy to deploy and integrate" ], "cons": [ "Early-stage project with limited community and documentation", "Adds latency to agent workflows due to quality checks and ledger writes", "Requires a compatible MCP agent framework to function" ], "tags": [ "ai-agents", "fleet-mode", "guardrails", "llm", "mcp", "model-context-protocol", "python" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-11", "addedAt": "2026-06-11", "officialLink": "https://github.com/Jott2121/agent-gate", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [ "vectorize-io-hindsight" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/jott2121-agent-gate" }, { "slug": "juergenkoller-software-distill-mcp", "name": "juergenkoller-software/distill-mcp", "vendor": "Various", "tagline": "Open-source MCP server bridge for Distill — let Claude/Cursor rename your files based on content (AI: Claude/OpenAI/Gemini/Ollama/Apple).", "description": "An open-source MCP server bridge for Distill that enables Claude or Cursor to rename files based on their content. It supports multiple AI models including Claude, OpenAI, Gemini, Ollama, and Apple. The tool is written in Swift and available on GitHub.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want AI-assisted file renaming within Cursor or Claude environments", "useCases": [ "Renaming files by content analysis using AI models", "Integrating AI file renaming into Cursor or Claude workflows", "Automating file organization based on semantic content" ], "pros": [ "Supports multiple AI providers (Claude, OpenAI, Gemini, Ollama, Apple)", "Open-source and customizable", "Integrates directly into Cursor and Claude" ], "cons": [ "Zero stars on GitHub indicates limited community adoption", "Limited documentation or support due to low visibility", "Requires setup of an MCP server and API keys for AI models" ], "tags": [ "ai", "automation", "claude", "claude-code", "claude-desktop", "cursor", "file-rename", "json-rpc" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Swift" ], "license": "MIT", "lastUpdated": "2026-06-08", "addedAt": "2026-06-11", "officialLink": "https://github.com/juergenkoller-software/distill-mcp", "relations": { "works_in": [], "uses": [ "ollama" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/juergenkoller-software-distill-mcp" }, { "slug": "juergenkoller-software-nemeton-mcp", "name": "juergenkoller-software/nemeton-mcp", "vendor": "Various", "tagline": "Open-source MCP server bridge for Nemeton — control native macOS VMs from Claude Desktop, Claude Code, Cursor.", "description": "An open-source MCP server written in Swift that bridges Claude Desktop, Claude Code, and Cursor to Nemeton for controlling native macOS virtual machines. It enables the AI tools to send commands that start, stop, snapshot, and inspect VMs running locally.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who manage macOS virtual machines with Nemeton and want to control them from AI coding assistants.", "useCases": [ "Automating macOS VM provisioning and teardown from Claude or Cursor", "Taking and restoring VM snapshots during CI or testing workflows", "Inspecting VM state (IP, running status) within AI tool conversations" ], "pros": [ "Native Swift implementation avoids dependencies on other runtimes", "Tight integration with Nemeton's VM management capabilities", "Works across multiple AI frontends (Claude, Cursor) via standard MCP" ], "cons": [ "Requires Nemeton to be installed and configured separately", "Zero stars and limited community adoption at time of writing", "Only supports macOS VMs; no cross-platform virtualization" ], "tags": [ "apple-virtualization", "claude", "claude-code", "claude-desktop", "cursor", "json-rpc", "macos", "mcp" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Swift" ], "license": "MIT", "lastUpdated": "2026-06-08", "addedAt": "2026-06-11", "officialLink": "https://github.com/juergenkoller-software/nemeton-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/juergenkoller-software-nemeton-mcp" }, { "slug": "juergenkoller-software-pdf-content-search-mcp", "name": "juergenkoller-software/pdf-content-search-mcp", "vendor": "Various", "tagline": "Open-source MCP server bridge for PDF Content Search — full-text PDF search + OCR for Claude/Cursor across thousands of documents.", "description": "An open-source MCP server that enables full-text search and OCR-based search across thousands of PDF documents. It integrates with Claude and Cursor to provide a bridge for querying PDF content programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing to add PDF search capabilities to AI-driven applications", "useCases": [ "Searching large PDF libraries for specific text or phrases", "Extracting searchable content from scanned documents via OCR", "Integrating PDF search capabilities into AI assistant workflows" ], "pros": [ "Supports both text and OCR-based search for comprehensive coverage", "Open-source and free to use with no vendor lock-in", "Works with popular AI tools like Claude and Cursor" ], "cons": [ "Written in Swift, limiting cross-platform compatibility", "No GitHub stars yet, indicating limited community adoption or testing", "Requires setup of an MCP server, adding deployment complexity" ], "tags": [ "claude", "claude-code", "claude-desktop", "cursor", "full-text-search", "json-rpc", "macos", "mcp" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Swift" ], "license": "MIT", "lastUpdated": "2026-06-08", "addedAt": "2026-06-11", "officialLink": "https://github.com/juergenkoller-software/pdf-content-search-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "microsoft-markitdown" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/juergenkoller-software-pdf-content-search-mcp" }, { "slug": "kent-tokyo-shohei", "name": "kent-tokyo/shohei", "vendor": "Various", "tagline": "A next-generation Rust DNS diagnostic CLI that visualizes DNSSEC trust chains, iterative resolution paths, and DoH/DoT with an interactive TUI.", "description": "A Rust-based DNS diagnostic CLI that provides an interactive TUI for visualizing DNSSEC trust chains and iterative resolution paths. It supports DNS-over-HTTPS and DNS-over-TLS protocols.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Network engineers and security researchers debugging DNS and DNSSEC issues", "useCases": [ "Debugging DNSSEC validation failures", "Tracing the full iterative resolution path for a domain", "Inspecting encrypted DNS connections via DoH or DoT" ], "pros": [ "Written in Rust for performance and memory safety", "Interactive TUI makes complex DNS data explorable", "Supports modern encrypted DNS protocols" ], "cons": [ "Very low community adoption and limited documentation", "May require building from source if no prebuilt binaries are available", "Early-stage tool with potential stability issues" ], "tags": [ "ai-agents", "claude", "cui", "dig", "dns", "dnssec", "infrastructure-diagnostics", "mcp" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Rust" ], "license": "MIT", "lastUpdated": "2026-06-10", "addedAt": "2026-06-11", "officialLink": "https://github.com/kent-tokyo/shohei", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/kent-tokyo-shohei" }, { "slug": "lyrenth-lyrenth-mcp", "name": "lyrenth/lyrenth-mcp", "vendor": "Various", "tagline": "[](https://glama.ai/mcp/servers/lyrenth/lyrenth-mcp) 📇 🏠 - Read any URL as a clean AIDocument (Markdown + structure) through Lyrenth's cached index.", "description": "Lyrenth MCP is a Model Context Protocol server that fetches any URL and returns a clean AIDocument in Markdown with structure. It uses Lyrenth's cached index to reduce noise and improve consistency. The tool is written in JavaScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to feed clean web content into AI assistants or agents via MCP", "useCases": [ "Ingest web content into AI contexts as structured markdown", "Reduce HTML clutter when extracting information from online sources", "Quickly convert URLs to AI-friendly documents via cached indices" ], "pros": [ "Delivers clean, structured markdown from any URL", "Leverages caching to improve speed and reduce redundant fetches", "Works as a standard MCP server, easy to integrate with compatible hosts" ], "cons": [ "Zero stars and no community adoption yet, indicating limited testing", "Relies on Lyrenth's index, which may not cover all sites or update content frequently", "Only available in JavaScript, limiting use in non-Node.js environments" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "lastUpdated": "2026-06-10", "addedAt": "2026-06-11", "officialLink": "https://github.com/lyrenth/lyrenth-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "microsoft-markitdown" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/lyrenth-lyrenth-mcp" }, { "slug": "malinoto-tracepass-mcp-server", "name": "malinoto/tracepass-mcp-server", "vendor": "Various", "tagline": "Model Context Protocol server for TracePass — the EU Digital Product Passport platform", "description": "A Model Context Protocol server that connects AI agents to the TracePass EU Digital Product Passport platform. It exposes TracePass data through the MCP standard, allowing LLMs to query product passport information programmatically.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-powered tools for EU Digital Product Passport compliance", "useCases": [ "Querying digital product passport data from AI assistants", "Automating compliance checks for EU product regulations", "Integrating product lifecycle information into AI workflows" ], "pros": [ "Implements the open MCP standard for interoperability", "Written in TypeScript for type safety and broad ecosystem compatibility", "Directly addresses EU Digital Product Passport requirements" ], "cons": [ "Zero GitHub stars indicates very limited community adoption", "Tied exclusively to the TracePass platform, not a general-purpose tool", "No evidence of active maintenance or documentation beyond the repository" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-09", "addedAt": "2026-06-11", "officialLink": "https://github.com/malinoto/tracepass-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/malinoto-tracepass-mcp-server" }, { "slug": "mambalabsdev-mcp-domain-to-linkedin-url-resolver", "name": "mambalabsdev/mcp-domain-to-linkedin-url-resolver", "vendor": "Various", "tagline": "MCP server for Domain to LinkedIn URL Resolver. Resolves a company domain or name to its LinkedIn company URL with confidence scoring and firmographics via Apify. Clay-ready output", "description": "An MCP server that resolves a company domain or name to its LinkedIn company URL. It uses Apify to return the URL with a confidence score and firmographic data, outputting results in a Clay-ready format.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building automated lead enrichment or sales prospecting pipelines that need LinkedIn company URLs from domains.", "useCases": [ "Enrich lead lists with LinkedIn company URLs from domains", "Automate company research for sales prospecting workflows", "Integrate with Clay or other tools for data enrichment pipelines" ], "pros": [ "Provides confidence scoring for each resolved URL", "Returns firmographic data alongside the LinkedIn link", "Outputs in a format compatible with Clay for further processing" ], "cons": [ "Requires an Apify account and API key to function", "Limited to 1 star on GitHub, indicating minimal community adoption", "Dependency on external Apify service adds latency and cost" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-06-09", "addedAt": "2026-06-11", "officialLink": "https://github.com/mambalabsdev/mcp-domain-to-linkedin-url-resolver", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mambalabsdev-mcp-domain-to-linkedin-url-resolver" }, { "slug": "mambalabsdev-mcp-gtm-suite", "name": "mambalabsdev/mcp-gtm-suite", "vendor": "Various", "tagline": "MCP server for the full Mamba Labs GTM Suite. All six GTM actors as tools in one server via Apify. Clay-ready output.", "description": "An MCP server that exposes all six GTM actors from the Mamba Labs GTM Suite as individual tools. It runs on Apify and produces output formatted for direct use in Clay.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building automated GTM enrichment pipelines for Clay", "useCases": [ "Enrich leads with GTM data via a single MCP server", "Automate outbound research workflows in Clay", "Combine multiple GTM signals into one tool call" ], "pros": [ "Bundles six GTM actors into one server for convenience", "Clay-ready output reduces post-processing", "Runs on Apify for scalable execution" ], "cons": [ "No stars or community adoption yet", "Requires Apify account and API key", "Limited to the six predefined GTM actors" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-06-09", "addedAt": "2026-06-11", "officialLink": "https://github.com/mambalabsdev/mcp-gtm-suite", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mambalabsdev-mcp-gtm-suite" }, { "slug": "mambalabsdev-mcp-icp-fit-scorer", "name": "mambalabsdev/mcp-icp-fit-scorer", "vendor": "Various", "tagline": "MCP server for ICP Fit Scorer. Scores a company against your ideal customer profile with weighted signals via Apify. Returns a 0 to 100 score, a tier, and a per-signal breakdown. C", "description": "MCP server that scores companies against an ideal customer profile using weighted signals from Apify. It returns a 0-100 score, a tier, and a per-signal breakdown. Output is formatted for direct use in Clay.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Early adopters needing automated ICP scoring with custom weighting", "useCases": [ "Score leads against custom ICP criteria", "Enrich CRM data with company fit scores", "Automate lead qualification in sales workflows" ], "pros": [ "Provides a structured, weighted scoring system", "Integrates with Apify for real-time signal extraction", "Output is Clay-ready, reducing manual formatting" ], "cons": [ "Only 1 star on GitHub, indicating very early stage", "Depends on Apify, adding an external data dependency", "Requires an MCP client to run the server" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-06-09", "addedAt": "2026-06-11", "officialLink": "https://github.com/mambalabsdev/mcp-icp-fit-scorer", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mambalabsdev-mcp-icp-fit-scorer" }, { "slug": "mcp", "name": "mcp", "vendor": "ai.aient", "tagline": "MCP-native AI SRE: ask what's broken in production, get a reviewed GitHub fix PR.", "description": "A tool that enables developers to ask natural language questions about production issues and receive a GitHub pull request with a reviewed fix. It is built on the Model Context Protocol (MCP) and acts as an AI SRE assistant.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "SRE teams and developers seeking to automate incident response and fix generation", "useCases": [ "Diagnosing production issues through natural language queries", "Automatically generating pull requests for fixes", "Integrating AI into SRE workflows" ], "pros": [ "Reduces mean time to resolution by automating fix generation", "Provides reviewed pull requests, ensuring quality", "MCP-native design allows seamless integration with other MCP tools" ], "cons": [ "Limited to issues resolvable with code changes, not operational or configuration fixes", "Ambiguous queries may produce inaccurate results", "Requires integration with production monitoring, which can add setup complexity" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-11", "officialLink": "https://github.com/haf/glimt", "relations": { "works_in": [], "uses": [ "github" ], "built_with": [], "pairs_with": [], "alternative_to": [ "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mcp" }, { "slug": "mgnirck-lecka-mcp", "name": "mgnirck/lecka-mcp", "vendor": "Various", "tagline": "📇 ☁️ - Race nutrition planning for endurance athletes. Calculates carb, sodium and fluid targets for marathons, ultras, cycling and triathlons. Returns personalised Lecka product", "description": "An MCP server that calculates personalized race nutrition targets for endurance athletes. It computes carb, sodium, and fluid requirements for marathons, ultras, cycling, and triathlons, then returns a recommended Lecka product. Designed to integrate with AI assistants via the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Endurance athletes who use AI assistants and want quick, personalized nutrition plans tied to Lecka products", "useCases": [ "Plan race-day nutrition for a marathon or ultra", "Calculate fluid and electrolyte needs for a cycling event", "Get a personalized Lecka product recommendation for a triathlon" ], "pros": [ "Integrates easily with MCP-compatible AI assistants", "Tailored specifically to endurance sports and events", "Provides concrete product suggestions, not just numbers" ], "cons": [ "Only recommends Lecka products, limiting choice", "Requires an MCP client to use effectively", "New project with no stars, so community and reliability are unproven" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "lastUpdated": "2026-06-09", "addedAt": "2026-06-11", "officialLink": "https://github.com/mgnirck/lecka-mcp", "relations": { "works_in": [ "claude-code", "continue", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mgnirck-lecka-mcp" }, { "slug": "mingye-lu-agenticcrawler", "name": "Mingye-Lu/AgenticCrawler", "vendor": "Various", "tagline": "acrawl — LLM-powered web crawler. Describe what you want in plain English, get structured data back. Single Rust binary, 25 providers, MCP server built-in.", "description": "acrawl is a Rust-based web crawler that takes plain English descriptions of what to extract and returns structured data. It bundles 25 provider integrations and includes a built-in MCP server, all in a single binary.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need a quick, LLM-driven web scraper with multi-provider support and MCP compatibility.", "useCases": [ "Scrape structured data from websites using natural language queries", "Automate data extraction pipelines with MCP server integration", "Quickly prototype crawls across multiple LLM providers without configuration overhead" ], "pros": [ "Single Rust binary simplifies deployment and dependency management", "Supports 25 providers out of the box for flexible LLM backend choice", "Built-in MCP server enables easy integration with existing tools" ], "cons": [ "Rust binary may not suit teams without Rust toolchain experience", "Natural language parsing can produce inconsistent results on complex pages", "Limited to LLM-driven extraction, not a general purpose web scraper" ], "tags": [ "ai-agent", "autonomous-agents", "browser-automation", "claude", "cli", "cloakbrowser", "developer-tools", "headless-browser" ], "featured": false, "tier": "curated", "stars": 5, "language": [ "Rust" ], "license": "MIT", "lastUpdated": "2026-06-11", "addedAt": "2026-06-11", "officialLink": "https://github.com/Mingye-Lu/AgenticCrawler", "relations": { "works_in": [ "cline", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mingye-lu-agenticcrawler" }, { "slug": "mnoomnoo-resume-mcp-server", "name": "mnoomnoo/resume-mcp-server", "vendor": "Various", "tagline": "MCP server enabling AI assistants to search and retrieve information from local resume and job application documents", "description": "An MCP server that allows AI assistants to search and retrieve information from local resume and job application documents. It uses the Model Context Protocol to integrate with compatible AI tools, enabling queries over personal career files stored on the user's machine.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building personal AI assistants that need to query local job application documents", "useCases": [ "Searching resumes for specific skills or experience", "Retrieving job application details during interviews", "Querying local career documents from an AI assistant" ], "pros": [ "Keeps sensitive resume data local and private", "Integrates with AI assistants via standard MCP protocol", "Simple Python implementation for easy customization" ], "cons": [ "Zero stars indicates a new or unproven project", "Limited to local files only, no cloud or network support", "Requires Python environment and MCP-compatible client" ], "tags": [ "ai", "anthropic", "career", "claude", "document-search", "fastmcp", "job-search", "llm" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "GPL-3.0", "lastUpdated": "2026-06-10", "addedAt": "2026-06-11", "officialLink": "https://github.com/mnoomnoo/resume-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mnoomnoo-resume-mcp-server" }, { "slug": "mouse114514-xadeus-qq-mcp", "name": "mouse114514/Xadeus-QQ-MCP", "vendor": "Various", "tagline": "基于 Amadeus-QQ-MCP 改造的 QQ MCP Server，支持 Auto-Wake、消息收发、群聊管理。一键配置 Windows 端。", "description": "A Python-based MCP server for QQ, forked from Amadeus-QQ-MCP. It supports automatic wake-up, message sending and receiving, and group chat management. Provides one-click configuration for Windows deployment.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a quick QQ MCP server setup on Windows for AI agent integration", "useCases": [ "Connect AI agents to QQ for automated messaging", "Manage group chat interactions programmatically", "Deploy a QQ bot with minimal setup on Windows" ], "pros": [ "Supports auto-wake functionality for persistent connections", "Includes group management features", "One-click configuration simplifies Windows setup" ], "cons": [ "Zero stars on GitHub suggests very limited adoption or testing", "Only supports Windows for one-click configuration", "May rely on reverse-engineered QQ protocols with potential instability" ], "tags": [ "ai-agent", "auto-wake", "mcp", "mcp-server", "napcat", "onebot", "qq", "qq-bot" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-09", "addedAt": "2026-06-11", "officialLink": "https://github.com/mouse114514/Xadeus-QQ-MCP", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mouse114514-xadeus-qq-mcp" }, { "slug": "mukul-dutt-mentionsapi-mcp", "name": "mukul-dutt/mentionsapi-mcp", "vendor": "Various", "tagline": "MCP server for MentionsAPI - brand visibility across every AI search surface (ChatGPT, Claude, Gemini, Perplexity, AI Overviews, AI Mode, Bing Copilot)", "description": "An MCP server that wraps the MentionsAPI to track and monitor brand mentions across AI search surfaces including ChatGPT, Claude, Gemini, Perplexity, AI Overviews, AI Mode, and Bing Copilot. It allows developers to programmatically query brand visibility and aggregate results.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Brand managers and developers who need to track brand visibility across AI search surfaces programmatically", "useCases": [ "Monitor brand mentions across multiple AI search engines in real time", "Aggregate brand visibility data from ChatGPT, Claude, Gemini, and other AI surfaces", "Automate brand reputation checks using the MCP protocol" ], "pros": [ "Covers a wide range of AI search surfaces in one integration", "Automates brand monitoring without manual searches", "Uses the standard MCP protocol for easy integration with MCP-compatible tools" ], "cons": [ "Requires a MentionsAPI key and account to operate", "Limited to tracking mentions only on AI search surfaces, not traditional web search", "GitHub repository has zero stars, indicating low community adoption or early stage" ], "tags": [ "ai-visibility", "brand-monitoring", "geo", "mcp", "mcp-server", "model-context-protocol", "seo" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-06-10", "addedAt": "2026-06-11", "officialLink": "https://github.com/mukul-dutt/mentionsapi-mcp", "relations": { "works_in": [ "claude-code", "cline", "continue", "aider" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/mukul-dutt-mentionsapi-mcp" }, { "slug": "musharna-jobd", "name": "musharna/jobd", "vendor": "Various", "tagline": "Self-hostable GPU-aware job broker for your own machines, with native MCP/agent integration", "description": "jobd is a self-hostable job broker that manages GPU-aware workloads across your own machines. It uses a Python queue system and provides native MCP/agent integration for coordinating distributed tasks.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a private, GPU-aware job broker that can plug into agent systems", "useCases": [ "Distribute GPU-intensive jobs across a cluster of local machines", "Integrate job queuing into agent workflows via MCP protocol", "Run batch processing tasks with dynamic resource awareness" ], "pros": [ "Self-hosted, keeping data and jobs on your own infrastructure", "GPU-aware scheduling for optimal resource utilization", "MCP integration enables easy agent-based orchestration" ], "cons": [ "No public star count suggests limited community adoption or validation", "Python-only codebase may restrict non-Python environments", "Requires manual setup and maintenance of the broker infrastructure" ], "tags": [ "distributed-systems", "fastapi", "gpu", "homelab", "job-queue", "job-scheduler", "mcp", "self-hosted" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-11", "addedAt": "2026-06-11", "officialLink": "https://github.com/musharna/jobd", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "ollama", "vllm", "claude-code" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/musharna-jobd" }, { "slug": "namixai-signer-mcp", "name": "namixai/signer-mcp", "vendor": "Various", "tagline": "Usenami Signer MCP — sign CEX/DEX orders (Binance, OKX, Asterdex) from any MCP-aware AI agent; the signing key never leaves an AWS Nitro Enclave (attested PCR0). 5 tools, stdio.", "description": "namixai/signer-mcp lets any MCP-aware AI agent sign orders for CEX/DEX exchanges like Binance, OKX, and Asterdex. The signing key never leaves an AWS Nitro Enclave, attested via PCR0. It exposes five tools over stdio.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI-powered trading agents that need hardware-backed key protection on AWS", "useCases": [ "Automate order signing from an AI trading agent without exposing private keys", "Integrate secure trade execution into AI assistants for crypto exchanges", "Enforce key isolation in high-security trading workflows using attested enclaves" ], "pros": [ "Private key never leaves the AWS Nitro Enclave, offering strong attestation and security", "Works with any MCP-capable AI agent and supports multiple major exchanges", "Simple stdio interface makes it easy to integrate into agent pipelines" ], "cons": [ "Requires AWS Nitro Enclave infrastructure, limiting portability to non-AWS environments", "Only five tools available, which may not cover all order types or exchanges", "Stdio-only transport restricts remote or cloud-native usage without additional bridging" ], "tags": [ "ai-agents", "aws-nitro-enclaves", "binance", "mcp", "model-context-protocol", "okx", "signer", "trading" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-11", "addedAt": "2026-06-11", "officialLink": "https://github.com/namixai/signer-mcp", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/namixai-signer-mcp" }, { "slug": "natden444-pickanagency-mcp", "name": "Natden444/pickanagency-mcp", "vendor": "Various", "tagline": "MCP server for Pick an Agency — search 47,000+ marketing agencies and get AI-matched, in any AI agent. https://www.pickanagency.com", "description": "An MCP server that connects AI agents to the Pick an Agency database of over 47,000 marketing agencies. It enables agents to search and receive AI-matched agency recommendations through the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to recommend or find marketing agencies", "useCases": [ "Search marketing agencies by criteria within an AI agent", "Get AI-matched agency recommendations for client projects", "Integrate agency discovery into automated workflows" ], "pros": [ "Access to a large, curated database of 47,000+ agencies", "AI matching helps narrow down relevant options quickly", "Standard MCP interface works with any compatible agent" ], "cons": [ "Zero stars on GitHub indicates a very new or unproven project", "Relies on an external API, so availability depends on Pick an Agency", "Limited to marketing agencies, not a general-purpose directory" ], "tags": [ "agency-directory", "ai-agents", "claude", "marketing-agencies", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-06-11", "addedAt": "2026-06-11", "officialLink": "https://github.com/Natden444/pickanagency-mcp", "relations": { "works_in": [ "claude-code", "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/natden444-pickanagency-mcp" }, { "slug": "pavelpilyak-devrecall", "name": "pavelpilyak/devrecall", "vendor": "Various", "tagline": "[](https://glama.ai/mcp/servers/pavelpilyak/devrecall) 🏎️ 🏠 🍎 🐧 - Local-first developer activity aggregator. Indexes commits, PRs, Jira/Linear tickets, Confluence docs, Slack t", "description": "A local-first developer activity aggregator written in Go. It indexes commits, pull requests, Jira and Linear tickets, Confluence documents, and Slack messages for offline querying and review. The tool runs on the user's machine to keep data private.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to keep their activity data local and integrate multiple tools for offline querying", "useCases": [ "Track development activity across multiple tools without sending data to the cloud", "Search your commit history and related tickets locally", "Aggregate Slack discussions and documentation changes alongside code changes" ], "pros": [ "Local-first design preserves privacy and data ownership", "Indexes multiple sources (Git, Jira, Linear, Confluence, Slack) in one place", "Go binary is likely fast, lightweight, and cross-platform" ], "cons": [ "Only 1 star on GitHub indicates early stage with limited community support", "Setup requires connecting to several APIs and may be non-trivial", "Lacks built-in visualization or advanced analytics beyond raw indexing" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "Go" ], "license": "MIT", "lastUpdated": "2026-06-08", "addedAt": "2026-06-11", "officialLink": "https://github.com/pavelpilyak/devrecall", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "mediar-ai-screenpipe" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pavelpilyak-devrecall" }, { "slug": "pineforge-4pass-pineforge-codegen-mcp", "name": "pineforge-4pass/pineforge-codegen-mcp", "vendor": "Various", "tagline": "Offline MCP server: an AI agent transpiles PineScript v6 → C++ and runs deterministic, TradingView-parity backtests locally — 245/246 strict, 0 engine bugs. One Docker container, n", "description": "An offline MCP server that transpiles PineScript v6 to C++ and runs deterministic, TradingView-parity backtests locally. It runs in a single Docker container with no API key required, keeping code and data on the user's machine. Tools include backtestpine, backtestpinegrid, transpilepine, and fetchbinanceohlcv.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing private, deterministic backtesting of PineScript strategies without TradingView cloud dependency", "useCases": [ "Run TradingView-parity backtests locally without API keys or internet dependency", "Transpile PineScript v6 strategies to C++ for deterministic execution", "Fetch OHLCV data from Binance for local backtesting" ], "pros": [ "Offline operation with no API key needed ensures data privacy", "High backtest accuracy (245/246 strict, 0 engine bugs)", "Single Docker container simplifies deployment" ], "cons": [ "Low GitHub popularity (1 star) suggests limited community and support", "Only supports PineScript v6, not newer versions", "Data fetching limited to Binance via fetchbinanceohlcv" ], "tags": [ "ai-agents", "algorithmic-trading", "algotrading", "backtesting", "cpp", "deterministic", "docker", "mcp" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-10", "addedAt": "2026-06-11", "officialLink": "https://github.com/pineforge-4pass/pineforge-codegen-mcp", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [ "docker" ], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/pineforge-4pass-pineforge-codegen-mcp" }, { "slug": "re-port-flow-reportflow-mcp", "name": "re-port-flow/reportflow-mcp", "vendor": "Various", "tagline": "ReportFlow MCP Server - PDF report generation for Claude and AI agents (public publish mirror of monepla/report-mcp)", "description": "ReportFlow MCP Server is a TypeScript implementation of the Model Context Protocol for PDF report generation. It enables Claude and other AI agents to produce formatted PDF documents through a standardized tool interface. This repository is a public mirror of monepla/report-mcp.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agents that need to produce PDF reports programmatically", "useCases": [ "Generate PDF reports from structured data via Claude", "Create formatted documents as part of an AI agent workflow", "Integrate PDF output into MCP-compatible assistant applications" ], "pros": [ "Follows the MCP standard for interoperability with AI agents", "Written in TypeScript for type safety and maintainability", "Provides a dedicated PDF generation endpoint for Claude" ], "cons": [ "Zero stars indicates very early stage or low adoption", "Limited community support and documentation", "Dependent on the MCP ecosystem which is still evolving" ], "tags": [ "ai-agent", "anthropic", "claude", "mcp", "mcp-server", "model-context-protocol", "pdf-generation", "reportflow" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-05", "addedAt": "2026-06-11", "officialLink": "https://github.com/re-port-flow/reportflow-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/re-port-flow-reportflow-mcp" }, { "slug": "rendobar-mcp", "name": "rendobar/mcp", "vendor": "Various", "tagline": "Official MCP server for Rendobar. Lets AI agents run serverless media processing and upload local files from Claude, Cursor, and more.", "description": "An MCP server that enables AI agents to perform serverless media processing and upload local files. It implements the Model Context Protocol for integration with tools like Claude and Cursor. Built with TypeScript, it connects to Rendobar's media processing infrastructure.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using MCP-compatible AI tools who need serverless media processing and file uploads", "useCases": [ "Trigger media transcoding or resizing from an AI agent", "Upload local files to Rendobar for serverless processing", "Integrate media workflows into MCP-compatible development tools" ], "pros": [ "Leverages MCP for straightforward integration with multiple AI clients", "Offers serverless media processing without managing infrastructure", "Supports file uploads directly from local sources" ], "cons": [ "No public adoption yet (0 GitHub stars) indicating early stage", "Requires MCP-compatible clients, limiting immediate use cases", "Dependent on the Rendobar service availability and pricing" ], "tags": [ "ai-agents", "api", "claude", "cursor", "developer-tools", "ffmpeg", "mcp", "media-processing" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-11", "addedAt": "2026-06-11", "officialLink": "https://github.com/rendobar/mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/rendobar-mcp" }, { "slug": "renezander030-agentic-task-system", "name": "renezander030/agentic-task-system", "vendor": "Various", "tagline": "Your task manager is the best agent memory you're not using. An agent-native context layer over your existing task app: hybrid retrieval (RRF), capture-time enrichment, pluggable a", "description": "Agent-native context layer that integrates with task management apps. Uses hybrid retrieval (RRF) and capture-time enrichment. Currently supports TickTick and Obsidian local markdown vault as adapters, with Notion planned.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agent memory systems that leverage existing task managers", "useCases": [ "Connecting AI agents to existing task lists for context retrieval", "Enriching tasks with metadata during capture time", "Implementing hybrid search across multiple task sources" ], "pros": [ "Pluggable adapter architecture allows extending to different task apps", "Uses RRF hybrid retrieval for improved memory recall", "Open source with JavaScript implementation" ], "cons": [ "Low community adoption (1 star as of writing)", "Currently only TickTick and Obsidian adapters available", "Requires self-hosting and setup for agent integration" ], "tags": [ "agent-context", "agent-memory", "agents", "ai", "ai-agents", "claude", "claude-code", "cli" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-06-08", "addedAt": "2026-06-11", "officialLink": "https://github.com/renezander030/agentic-task-system", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/renezander030-agentic-task-system" }, { "slug": "rnwkr7rscy-lang-fittin-mcp", "name": "rnwkr7rscy-lang/fittin-mcp", "vendor": "Various", "tagline": "Free startup IP protection MCP for Cursor and Claude — know what's protectable before competitors copy it", "description": "A free MCP server for Cursor and Claude that helps developers identify which parts of their startup codebase are protectable intellectual property. It analyzes code against common IP categories and surfaces risks before competitors replicate them.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Solo founders and small startup teams using Cursor or Claude who want basic IP awareness without paying for legal tools.", "useCases": [ "Scan a codebase for patentable algorithms or trade secrets before public release", "Check if a new feature introduces IP vulnerabilities during development", "Integrate IP awareness into daily coding workflow via Cursor or Claude" ], "pros": [ "Free and open source with no usage limits", "Works directly inside popular AI coding tools", "Focuses on practical IP protection for early-stage startups" ], "cons": [ "Zero stars and no community adoption yet", "Limited to Python codebases only", "No documentation beyond the description" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "lastUpdated": "2026-06-04", "addedAt": "2026-06-11", "officialLink": "https://github.com/rnwkr7rscy-lang/fittin-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/rnwkr7rscy-lang-fittin-mcp" }, { "slug": "scavio-ai-scavio-mcp", "name": "scavio-ai/scavio-mcp", "vendor": "Various", "tagline": "Production ready MCP server with real-time search & extract in Google, Amazon, YouTube, Walmart, Reddit, TikTok and Instagram", "description": "A production-ready MCP server that provides real-time search and data extraction from Google, Amazon, YouTube, Walmart, Reddit, TikTok, and Instagram. It is built in TypeScript and designed for developers who need to integrate live web data into their applications.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers needing a quick, multi-platform web scraping MCP server", "useCases": [ "Scrape product listings and prices from Amazon and Walmart", "Extract trending content and comments from Reddit and TikTok", "Search and retrieve structured data from Google and YouTube" ], "pros": [ "Supports multiple major platforms out of the box", "Real-time extraction with a production-ready MCP server", "Written in TypeScript for type safety and easy integration" ], "cons": [ "Low community traction with only 3 GitHub stars", "Limited documentation or support for custom configurations", "May require additional handling for rate limits or anti-bot measures" ], "tags": [ "ai", "amazon", "claude", "cursor", "google-search", "instagram", "mcp", "mcp-server" ], "featured": false, "tier": "curated", "stars": 3, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-11", "addedAt": "2026-06-11", "officialLink": "https://github.com/scavio-ai/scavio-mcp", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/scavio-ai-scavio-mcp" }, { "slug": "seob717-redash-mcp", "name": "seob717/redash-mcp", "vendor": "Various", "tagline": "MCP server for querying and managing Redash with Claude AI", "description": "An MCP server that enables querying and managing Redash through Claude AI. It provides a bridge between Claude's AI capabilities and Redash's data visualization and dashboard platform.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who use Claude AI and need to interact with Redash programmatically", "useCases": [ "Querying Redash data sources using natural language via Claude", "Managing Redash dashboards and visualizations programmatically", "Automating Redash administrative tasks through Claude AI" ], "pros": [ "Leverages Claude AI for natural language interaction with Redash", "Built in TypeScript for type safety and maintainability", "Open source with potential for community contributions" ], "cons": [ "Zero GitHub stars indicates very limited adoption or testing", "Relies on Claude AI which requires API access and costs", "No evidence of active maintenance or documentation quality" ], "tags": [ "ai", "anthropic", "business-intelligence", "claude", "claude-ai", "dashboard", "data-analytics", "llm" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-10", "addedAt": "2026-06-11", "officialLink": "https://github.com/seob717/redash-mcp", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/seob717-redash-mcp" }, { "slug": "skippedaga-yanifend-mcp", "name": "skippedaga/yanifend-mcp", "vendor": "Various", "tagline": "YaniFend MCP server — manage your WordPress feedback questionary and read answers from Claude", "description": "YaniFend MCP server lets you manage WordPress feedback questionnaires and read answers directly from Claude. It uses the Model Context Protocol to connect Claude with a WordPress site's feedback data.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to query WordPress feedback via Claude using MCP", "useCases": [ "Retrieve WordPress feedback questionnaire answers via Claude", "Manage feedback forms and responses from a chat interface", "Integrate WordPress feedback data into AI-assisted workflows" ], "pros": [ "Direct integration with Claude for natural language queries", "Simple setup for WordPress feedback management", "Open source with zero stars, indicating early-stage but accessible code" ], "cons": [ "No community adoption or stars, suggesting limited testing or support", "Requires a WordPress site with YaniFend plugin installed", "Documentation and error handling may be minimal" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-06-09", "addedAt": "2026-06-11", "officialLink": "https://github.com/skippedaga/yanifend-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/skippedaga-yanifend-mcp" }, { "slug": "slidecraft-in-presentations-ai-mcp-server", "name": "slidecraft-in/presentations-ai-mcp-server", "vendor": "Various", "tagline": "Official MCP server for Presentations.AI - create designed slide decks from a topic, text, or document via any MCP-compatible client.", "description": "This is an MCP server that integrates Presentations.AI with any MCP-compatible client. It allows users to generate designed slide decks from a topic, text, or document. The server is written in JavaScript and is hosted on GitHub.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to programmatically create slide decks via MCP", "useCases": [ "Generate slide decks from a topic or text prompt via an MCP client", "Create presentations from uploaded documents through a compatible interface", "Automate slide deck creation in developer workflows using MCP" ], "pros": [ "Works with any MCP-compatible client for flexible integration", "Generates designed slides from simple inputs like text or documents", "Open source and available on GitHub for customization" ], "cons": [ "Requires an MCP-compatible client to use", "No stars or community activity yet on GitHub", "Limited to Presentations.AI's design capabilities and API" ], "tags": [ "ai-presentations", "mcp", "mcp-server", "model-context-protocol", "oauth", "pptx", "presentations", "slide-generation" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-06-10", "addedAt": "2026-06-11", "officialLink": "https://github.com/slidecraft-in/presentations-ai-mcp-server", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [ "microsoft-markitdown" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/slidecraft-in-presentations-ai-mcp-server" }, { "slug": "squidcode-timebook-cli", "name": "squidcode/timebook-cli", "vendor": "Various", "tagline": "Timebook CLI + MCP server — track time on usetimebook.com from your terminal or expose it to AI agents (Claude, Codex, ...).", "description": "A command-line tool and MCP server for tracking time on usetimebook.com. It allows direct terminal usage or exposure to AI agents like Claude and Codex via the Model Context Protocol.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who want to track time from the terminal or through AI agents", "useCases": [ "Track time entries directly from the terminal", "Integrate time tracking into AI agent workflows", "Automate time logging with scripts or AI tools" ], "pros": [ "Simple CLI interface for quick time tracking", "MCP integration enables AI agents to log time", "Open source and written in TypeScript" ], "cons": [ "Requires a usetimebook.com account to function", "Low adoption with zero GitHub stars", "Limited to the usetimebook.com platform only" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-08", "addedAt": "2026-06-11", "officialLink": "https://github.com/squidcode/timebook-cli", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [ "eyaltoledano-claude-task-master" ], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/squidcode-timebook-cli" }, { "slug": "supra126-taiwan-payroll", "name": "supra126/taiwan-payroll", "vendor": "Various", "tagline": "台灣勞健保勞退法定費用計算引擎 — Taiwan statutory payroll calculation engine (TS core + MCP server + Python)", "description": "This tool calculates Taiwan's statutory payroll costs including labor insurance, health insurance, and pension contributions. It provides a TypeScript core, an MCP server, and a Python implementation for integration into different environments.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building Taiwan-specific payroll systems or compliance tools", "useCases": [ "Integrate Taiwan payroll calculations into HR or accounting software", "Automate statutory deduction computations for employee payroll", "Validate payroll compliance with Taiwan labor regulations" ], "pros": [ "Open-source and free to use", "Supports multiple programming languages (TypeScript, Python)", "Focused specifically on Taiwan's statutory payroll rules" ], "cons": [ "No GitHub stars, suggesting limited community adoption or testing", "Only covers Taiwan regulations, not useful for other jurisdictions", "Potential lack of documentation or maintenance given the low visibility" ], "tags": [ "fintech", "labor-insurance", "labor-pension", "mcp", "model-context-protocol", "national-health-insurance", "payroll", "payroll-calculator" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-10", "addedAt": "2026-06-11", "officialLink": "https://github.com/supra126/taiwan-payroll", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/supra126-taiwan-payroll" }, { "slug": "sveritg-metis", "name": "SVerITG/Metis", "vendor": "Various", "tagline": "A Research Cortex. A research companion for Claude. Your library, notes & memory stay on your machine; answers cited from your own library; 30+ specialist skills; auto cross-pollin", "description": "Metis is a local research companion for Claude that keeps your library, notes, and memory on your machine. It answers questions with citations from your own library, uses 30+ specialist skills, and automatically cross-pollinates across papers, meetings, ideas, notes, and journal entries. A weekly self-review drafts improvements for your approval, and reasoning runs on the Claude API.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Researchers and developers who want a private, automated research assistant that integrates with Claude", "useCases": [ "Organize and query personal research notes and papers with cited answers", "Automatically connect ideas across meetings, journals, and academic papers", "Receive weekly self-review suggestions to improve your research workflow" ], "pros": [ "Data stays local on your machine for privacy", "Answers are cited from your own library, increasing trust", "Automated cross-pollination saves time connecting disparate notes" ], "cons": [ "Requires the Claude API, adding ongoing cost", "Setup and maintenance may be complex for non-developers", "Limited to the capabilities and context window of the underlying Claude model" ], "tags": [ "ai-agents", "ai-assistant", "ai-tools", "anthropic", "claude", "knowledge-management", "local-first", "mcp" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "AGPL-3.0", "lastUpdated": "2026-06-08", "addedAt": "2026-06-11", "officialLink": "https://github.com/SVerITG/Metis", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [ "topoteretes-cognee", "vectorize-io-hindsight" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/sveritg-metis" }, { "slug": "tempguru-co-tempguru-mcp", "name": "tempguru-co/tempguru-mcp", "vendor": "Various", "tagline": "MCP server for W-2 event staffing data: rates, availability, and state compliance across 300+ US and Canadian markets. Hosted at mcp.tempguru.co/mcp, local via npx tempguru-mcp.", "description": "An MCP server that provides access to W-2 event staffing data including rates, availability, and state compliance across 300+ US and Canadian markets. It can be used via a hosted endpoint at mcp.tempguru.co/mcp or run locally with npx tempguru-mcp.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building tools for event staffing agencies or temporary labor marketplaces", "useCases": [ "Query staffing rates and availability for event labor across multiple markets", "Check state compliance requirements for temporary staffing in specific regions", "Integrate staffing data into AI assistants or automated hiring workflows" ], "pros": [ "Covers a broad geographic scope with 300+ markets", "Offers both hosted and local deployment options", "Provides compliance data alongside rates and availability" ], "cons": [ "Limited to W-2 event staffing data only", "No public star count or community traction yet", "Requires MCP-compatible client to use" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-11", "addedAt": "2026-06-11", "officialLink": "https://github.com/tempguru-co/tempguru-mcp", "relations": { "works_in": [ "claude-code", "cline", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tempguru-co-tempguru-mcp" }, { "slug": "thegoatpsy-mneme", "name": "TheGoatPsy/mneme", "vendor": "Various", "tagline": "Vault-native, accountable memory for Claude Code and MCP clients. Markdown is the source of truth, no LLM on the Stop path, redaction before every derived store.", "description": "A vault-native memory system for Claude Code and MCP clients. It stores memory as markdown files, ensures no LLM is involved in stop decisions, and redacts sensitive data before creating derived stores. Provides accountability by tying memory to a secure vault.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers using Claude Code who need secure, auditable memory", "useCases": [ "Persisting long-term context for Claude Code sessions", "Sharing secure, redacted memory across MCP clients", "Auditing memory changes with markdown-based source of truth" ], "pros": [ "Markdown as source of truth keeps memory human-readable and versionable", "Vault integration provides strong accountability and access control", "Automatic redaction protects sensitive information before storage" ], "cons": [ "Requires HashiCorp Vault or similar for operation", "Limited to Claude Code and MCP clients today", "No LLM on stop path may reduce flexibility in some workflows" ], "tags": [ "ai-memory", "claude-code", "codex", "fts5", "knowledge-graph", "llm", "local-first", "markdown" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-08", "addedAt": "2026-06-11", "officialLink": "https://github.com/TheGoatPsy/mneme", "relations": { "works_in": [ "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/thegoatpsy-mneme" }, { "slug": "tokenofesteem-mcp", "name": "tokenofesteem/mcp", "vendor": "Various", "tagline": "Front door for the Token of Esteem MCP server: docs plus a minimal introspection stub. Live server hosted at mcp.tokenofesteem.com.", "description": "Token of Esteem MCP is a GitHub repository that provides documentation and a minimal introspection stub for the Token of Esteem MCP server. The live server is hosted at mcp.tokenofesteem.com and is built with JavaScript.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers who need to quickly connect to the Token of Esteem MCP server and want a lightweight reference.", "useCases": [ "Integrating Token of Esteem functionality into MCP-compatible clients", "Exploring the MCP server's capabilities via the introspection stub", "Referencing documentation to understand how to interact with the server" ], "pros": [ "Provides a hosted live server for immediate use", "Includes documentation to guide integration", "Minimal stub makes it easy to test basic connectivity" ], "cons": [ "No source code for the server itself is provided", "Repository has zero stars, indicating limited community adoption", "Lacks examples or detailed usage patterns beyond the stub" ], "tags": [ "agentic-commerce", "ai-agents", "e-commerce", "gifts", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "JavaScript" ], "license": "MIT", "lastUpdated": "2026-06-08", "addedAt": "2026-06-11", "officialLink": "https://github.com/tokenofesteem/mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tokenofesteem-mcp" }, { "slug": "tracegazer-clockify-mcp", "name": "tracegazer/clockify-mcp", "vendor": "Various", "tagline": "Full-coverage Clockify MCP — 112 tools across 18 domains (incl. invoices, scheduling, time-off & approvals), native OpenTelemetry observability, and a 3-tier read/time-tracking/ful", "description": "A Python-based MCP server that exposes 112 tools across 18 Clockify domains including invoices, scheduling, time-off, and approvals. It includes native OpenTelemetry observability and uses a three-tier access model for read, time-tracking, and full access.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need comprehensive Clockify integration", "useCases": [ "Automating Clockify time entries and updates via AI agents", "Querying Clockify reports and scheduling data through a model context protocol", "Managing approvals and invoices with an AI assistant" ], "pros": [ "Covers nearly all Clockify domains with 112 tools for comprehensive integration", "Built-in OpenTelemetry observability enables monitoring and debugging", "Three-tier access model provides granular permission control" ], "cons": [ "Requires a compatible MCP host environment to run", "Large tool surface may be excessive for simple time-tracking needs", "Performance depends on Clockify API availability and rate limits" ], "tags": [ "ai", "claude", "clockify", "mcp", "mcp-server", "model-context-protocol", "productivity", "time-tracking" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-09", "addedAt": "2026-06-11", "officialLink": "https://github.com/tracegazer/clockify-mcp", "relations": { "works_in": [ "cline", "claude-code", "continue" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tracegazer-clockify-mcp" }, { "slug": "tracegazer-invgate-service-desk-mcp", "name": "tracegazer/invgate-service-desk-mcp", "vendor": "Various", "tagline": "MCP server for the InvGate Service Desk API — exposes InvGate Service Desk operations as Model Context Protocol tools.", "description": "A Model Context Protocol server that wraps the InvGate Service Desk API, exposing its operations as MCP tools. It allows AI agents to interact with InvGate Service Desk through standardized tool calls.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need to automate InvGate Service Desk workflows", "useCases": [ "Automating ticket creation and updates via AI agents", "Querying service desk assets and incidents programmatically", "Integrating InvGate Service Desk with MCP-compatible assistants" ], "pros": [ "Enables direct AI agent access to service desk operations", "Leverages the MCP standard for tool interoperability", "Written in Python, easy to extend or debug" ], "cons": [ "Very early stage with only 1 star and minimal community adoption", "Requires an existing InvGate Service Desk instance and API access", "Limited documentation and no clear error handling patterns" ], "tags": [ "ai", "ai-tools", "claude", "invgate", "itsm", "mcp", "mcp-server", "model-context-protocol" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-09", "addedAt": "2026-06-11", "officialLink": "https://github.com/tracegazer/invgate-service-desk-mcp", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/tracegazer-invgate-service-desk-mcp" }, { "slug": "turbyho-mem-context", "name": "turbyho/mem-context", "vendor": "Various", "tagline": "Multi-modal RAG engine for AI assistants. Stores conversation history, conclusions, diffs, error traces, and other development artifacts in LanceDB with vector search, multi-factor", "description": "A multi-modal RAG engine that stores conversation history, conclusions, diffs, error traces, and other development artifacts in LanceDB. It uses vector search, multi-factor scoring, and an LLM-driven consolidation pipeline to retrieve relevant context for AI assistants.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI assistants that need persistent, context-aware memory from development artifacts", "useCases": [ "Retrieving past debugging sessions and error traces for faster issue resolution", "Providing AI assistants with consolidated project context from code diffs and discussions", "Building a persistent memory layer for development-focused chatbots" ], "pros": [ "Supports multiple artifact types beyond plain text, including diffs and error traces", "Uses multi-factor scoring to improve retrieval relevance", "LanceDB backend enables efficient vector search and scaling" ], "cons": [ "Requires an LLM for the consolidation pipeline, adding latency and cost", "No active maintenance or community contributions (0 stars)", "Limited documentation and examples for setup and customization" ], "tags": [], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-11", "addedAt": "2026-06-11", "officialLink": "https://github.com/turbyho/mem-context", "relations": { "works_in": [ "cline", "continue", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [ "vectorize-io-hindsight", "topoteretes-cognee", "upstash-context7" ] }, "detailUrl": "https://enterprisedna.co/directories/mcp/turbyho-mem-context" }, { "slug": "vbj1808-retrieval-lens", "name": "Vbj1808/retrieval-lens", "vendor": "Various", "tagline": "MCP server that audits RAG retrieval - logs what chunks the model saw before any answer was generated", "description": "Vbj1808/retrieval-lens is an MCP server that audits RAG retrieval. It logs the chunks the model saw before any answer was generated. This provides transparency into which retrieved documents influenced the response.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers debugging and auditing RAG retrieval pipelines", "useCases": [ "Debugging RAG pipelines to see which chunks were used", "Auditing model citations in generated answers", "Verifying retrieval accuracy in production systems" ], "pros": [ "Provides direct visibility into retrieved chunks", "Lightweight MCP server integration", "Open source and easy to inspect" ], "cons": [ "Low adoption and limited community support", "Only logs chunks without evaluating relevance", "Requires manual inspection of logs for insights" ], "tags": [ "audit", "llm", "mcp", "mcp-server", "observability", "rag", "retrieval", "typescript" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-08", "addedAt": "2026-06-11", "officialLink": "https://github.com/Vbj1808/retrieval-lens", "relations": { "works_in": [], "uses": [], "built_with": [ "fastmcp" ], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/vbj1808-retrieval-lens" }, { "slug": "willianpinho-mcp-gateway-scan", "name": "willianpinho/mcp-gateway-scan", "vendor": "Various", "tagline": "[](https://glama.ai/mcp/servers/willianpinho/mcp-gateway-scan) 📇 🏠 - Read-only static scanner for MCP / agent-gateway production-readiness. The scangateway tool scores a repo acr", "description": "A read-only static scanner that evaluates MCP and agent-gateway repositories for production-readiness. It scores a repo across defined criteria by analyzing its structure and configuration.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers deploying MCP or agent-gateway systems who need a quick pre-production compliance check.", "useCases": [ "Audit a gateway repo before deploying to production", "Compare multiple gateway implementations against readiness benchmarks", "Integrate into CI to gate merges based on readiness score" ], "pros": [ "Provides a concrete readiness score for objective assessment", "Read-only operation avoids unintended modifications", "Lightweight TypeScript tool easy to run in CI pipelines" ], "cons": [ "Limited to static analysis, cannot test runtime behavior", "Only 1 star on GitHub suggests early-stage or low adoption", "Scoring criteria may not cover all production concerns" ], "tags": [], "featured": false, "tier": "curated", "stars": 1, "language": [ "TypeScript" ], "license": "MIT", "lastUpdated": "2026-06-10", "addedAt": "2026-06-11", "officialLink": "https://github.com/willianpinho/mcp-gateway-scan", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/willianpinho-mcp-gateway-scan" }, { "slug": "xyver-daedal-map", "name": "xyver/daedal-map", "vendor": "Various", "tagline": "Open geographic query engine — ask place-based questions in natural language, get answers on a map. Covers disasters, demographics, economics, and climate data across 40+ sources.", "description": "An open geographic query engine that accepts natural language questions about places and returns answers on a map. It integrates data from over 40 sources covering disasters, demographics, economics, and climate. The tool is written in Python and available on GitHub.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers seeking a natural language interface for geographic data exploration", "useCases": [ "Query climate data for specific regions", "Map demographic patterns across cities", "Analyze disaster impact zones" ], "pros": [ "Natural language interface lowers the barrier for spatial analysis", "Covers 40+ data sources for broad geographic queries", "Open source and Python-based for easy customization" ], "cons": [ "Zero stars on GitHub suggests limited community adoption", "No evidence of active maintenance or updates", "May require additional setup for external data source APIs" ], "tags": [ "climate", "demographics", "disaster-data", "earthquakes", "fastapi", "foss", "geographic-data", "geospatial" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-11", "addedAt": "2026-06-11", "officialLink": "https://github.com/xyver/daedal-map", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/xyver-daedal-map" }, { "slug": "zw008-vmware-nsx-security", "name": "zw008/VMware-NSX-Security", "vendor": "Various", "tagline": "VMware NSX DFW microsegmentation and security: distributed firewall, security groups, tags, traceflow, IDPS — MCP tools for AI agents", "description": "This tool provides a set of Python scripts that expose VMware NSX distributed firewall and microsegmentation functions as Model Context Protocol (MCP) tools for AI agents. It covers security groups, tags, traceflow and IDPS operations, enabling automated security management through agent interactions.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers building AI agent workflows that need to interact with VMware NSX security features", "useCases": [ "Automating NSX distributed firewall rule changes via an AI agent", "Querying security group membership and tag assignments during incident response", "Triggering traceflow paths or IDPS signature updates from a chat interface" ], "pros": [ "Bridges VMware NSX security APIs with MCP for agent-based automation", "Covers both policy management and operational tools like traceflow", "Lightweight Python implementation that can be extended" ], "cons": [ "Zero stars indicates very early stage with no community validation", "Requires both an MCP-compatible agent host and access to a VMware NSX deployment", "No evidence of maintained documentation or active updates" ], "tags": [ "agent-skills", "ai-skill", "claude-code", "codex", "dfw", "firewall", "gemini-cli", "mcp" ], "featured": false, "tier": "curated", "stars": 0, "language": [ "Python" ], "lastUpdated": "2026-06-10", "addedAt": "2026-06-11", "officialLink": "https://github.com/zw008/VMware-NSX-Security", "relations": { "works_in": [ "cline", "claude-code" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/zw008-vmware-nsx-security" }, { "slug": "zw008-vmware-vks", "name": "zw008/VMware-VKS", "vendor": "Various", "tagline": "MCP Skill + CLI for vSphere with Tanzu (VKS) — Supervisor, Namespace, and TanzuKubernetesCluster lifecycle management. Requires vSphere 8.x+.", "description": "This tool provides an MCP skill and CLI for managing vSphere with Tanzu (VKS) environments, including Supervisor, Namespace, and TanzuKubernetesCluster lifecycle operations. It requires vSphere 8.x+ and is written in Python.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and operators managing vSphere with Tanzu environments who want MCP-based automation for cluster lifecycle tasks.", "useCases": [ "Automate TanzuKubernetesCluster creation and deletion", "Manage vSphere Supervisor and Namespace resources", "Integrate vSphere with Tanzu lifecycle tasks into MCP workflows" ], "pros": [ "Fills a niche for vSphere with Tanzu automation via MCP", "Lightweight Python CLI with focused functionality", "Directly addresses lifecycle management for VKS clusters" ], "cons": [ "Very early stage (1 star, minimal community adoption)", "Requires vSphere 8.x+, limiting compatibility", "Narrow scope may not suit general Kubernetes management" ], "tags": [ "agent-skills", "ai-skill", "claude-code", "codex", "gemini-cli", "kubernetes", "mcp", "supervisor" ], "featured": false, "tier": "curated", "stars": 1, "language": [ "Python" ], "license": "MIT", "lastUpdated": "2026-06-10", "addedAt": "2026-06-11", "officialLink": "https://github.com/zw008/VMware-VKS", "relations": { "works_in": [], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/zw008-vmware-vks" }, { "slug": "alphacreek-mcp", "name": "AlphaCreek MCP", "vendor": "ai.alphacreek", "tagline": "Hosted MCP for citation-ready SEC filing navigation. Setup for Claude, ChatGPT, Cursor, and Cline; tools, security, and authentication.", "description": "AlphaCreek MCP is a hosted Model Context Protocol server that navigates SEC filings and returns citation-ready information. It integrates with Claude, ChatGPT, Cursor, and Cline, offering tools for data access with built-in security and authentication.", "category": "developer", "pricingTier": "open-source", "deployEffort": "low", "bestFor": "Developers and analysts who need citation-ready SEC filing data integrated with their AI workflows", "useCases": [ "Access SEC filing data via AI assistants", "Retrieve citation-ready financial information", "Integrate with Claude, ChatGPT, Cursor, or Cline" ], "pros": [ "No local setup required — fully hosted", "Output includes citations for reliable sourcing", "Works with multiple popular AI tools" ], "cons": [ "Limited to SEC filing data only", "Requires internet connection and API authentication", "Dependent on third-party hosting and availability" ], "tags": [], "featured": false, "tier": "curated", "language": [], "addedAt": "2026-06-12", "officialLink": "https://www.alphacreek.ai/mcp-docs", "screenshotUrl": "https://www.alphacreek.ai/assets/images/logo/logo400x400.png", "relations": { "works_in": [ "cline" ], "uses": [], "built_with": [], "pairs_with": [], "alternative_to": [] }, "detailUrl": "https://enterprisedna.co/directories/mcp/alphacreek-mcp" } ] }