graphlit-mcp-server
by Various
Model Context Protocol (MCP) Server for Graphlit Platform
MCP
graphlit-mcp-server
Added 1 June 2026
Overview
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.
Best for
Best for
Developers building AI agents that need to ingest and query unstructured data through Graphlit's managed platform
Use cases
- 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
How to use
Install
npx -y graphlit-mcp-server Tested with
Cursor, Windsurf, Goose, Cline, VS Code, ChatGPT
Example client config
{\n "mcpServers": {\n "graphlit-mcp-server": {\n "command": "npx",\n "args": [\n "-y",\n "graphlit-mcp-server"\n ],\n "env": {\n "GRAPHLIT_ORGANIZATION_ID": "your-organization-id",\n "GRAPHLIT_ENVIRONMENT_ID": "your-environment-id",\n "GRAPHLIT_JWT_SECRET": "your-jwt-secret"\n }\n }\n }\n} Notes
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.
376 stars on GitHub. Last updated 2026-01-12. Licensed MIT.
Use cases
- 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
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
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
Pairs with
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