Knowledge Management · Developer Tools

MCP Ragdocs logo

MCP Ragdocs

hannesrudolph/mcp-ragdocs

An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context.

Install

npx -y @hannesrudolph/mcp-ragdocs

Client configuration

{
  "mcpServers": {
    "rag-docs": {
      "command": "npx",
      "args": [
        "-y",
        "@hannesrudolph/mcp-ragdocs"
      ],
      "env": {
        "OPENAI_API_KEY": "<OPENAI_API_KEY>",
        "QDRANT_URL": "<QDRANT_URL>",
        "QDRANT_API_KEY": "<QDRANT_API_KEY>"
      }
    }
  }
}

Environment variables

OPENAI_API_KEYQDRANT_URLQDRANT_API_KEY
GitHub stars
155
Category
Knowledge Management, Developer Tools
License
MIT
Updated
Oct 6, 2026

Features

  • Vector-based documentation search and retrieval

  • Support for multiple documentation sources

  • Semantic search capabilities

  • Automated documentation processing

  • Real-time context augmentation for LLMs

Tools (7)

  • search_documentation

    Search through stored documentation using natural language queries.

  • list_sources

    List all documentation sources currently stored in the system.

  • extract_urls

    Extract and analyze all URLs from a given web page.

  • remove_documentation

    Remove specific documentation sources from the system by their URLs.

  • list_queue

    List all URLs currently waiting in the documentation processing queue.

  • run_queue

    Process and index all URLs currently in the documentation queue.

  • clear_queue

    Remove all pending URLs from the documentation processing queue.

Details on this page are taken from the project's README. Open README

Supported clients

Clients mentioned in this server's README:

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