mcp-ragdocs
MCP server for RAG-based documentation retrieval. mcp-ragdocs is a Model Context Protocol (MCP) server maintained by hannesrudolph. It connects to MCP-compatible clients such as Claude Desktop, Cursor, Cline, and other agents that speak the protocol. It exposes 7 tools, including search_documentation, list_sources, extract_urls, remove_documentation, list_queue, run_queue and clear_queue, that an agent can call directly. It is categorized under AI/RAG, Tool/Documentation and AI/LLM.
What is this MCP
This MCP server provides RAG (Retrieval-Augmented Generation) capabilities for documentation, enabling AI assistants to retrieve and use relevant documentation context through vector search.
How to use this MCP
Configure it in your Claude Desktop setup by providing OpenAI and Qdrant credentials, then use the provided tools likesearch_documentation and extract_urls to manage and query documentation sources.
What this MCP can be used for
Enhancing AI responses with documentation context, building documentation-aware assistants, and implementing semantic search for technical content.
AIMCP authority
DR and traffic signal for the AIMCP public domain.
Frequently asked questions
What is the mcp-ragdocs MCP server?
mcp-ragdocs is a Model Context Protocol server from hannesrudolph. It lets MCP-compatible AI clients call its tools over a standard interface, so agents like Claude, Cursor, and Cline can use it without custom integration.
How do I connect mcp-ragdocs to my AI client?
Add mcp-ragdocs to your client's MCP configuration using the stdio or SSE connection shown in the usage examples on this page, then restart the client to load the server.
What tools does mcp-ragdocs provide?
mcp-ragdocs provides 7 tools: search_documentation, list_sources, extract_urls, remove_documentation, list_queue, run_queue and clear_queue.
Is mcp-ragdocs free to use?
mcp-ragdocs is listed on AIMCP for free. Any API keys or accounts required by the underlying service are set by its provider.
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