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graphlit-mcp-server

by Various

Model Context Protocol (MCP) Server for Graphlit Platform

G

MCP

graphlit-mcp-server

Added 1 June 2026

#claude #content-extraction #content-ingestion #data-collection #llm-tools #mcp-server #model-context-protocol #search-api

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

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