RAG Documentation MCP Server
by hannesrudolph
An MCP server implementation for retrieving and processing documentation through vector search. It enables AI assistants to augment their responses with relevant documentation context.
Last updated: N/A
What is RAG Documentation MCP Server?
This is an MCP server that provides tools for retrieving and processing documentation using vector search. It allows AI assistants to enhance their responses with relevant documentation context.
How to use RAG Documentation MCP Server?
Configure the server with your OpenAI API key and Qdrant vector database credentials. Use the provided tools (search_documentation, list_sources, extract_urls, remove_documentation, list_queue, run_queue, clear_queue) to manage and search your documentation. Integrate the server with Claude Desktop by adding the provided configuration to your claude_desktop_config.json file.
Key features of RAG Documentation MCP Server
Vector-based documentation search and retrieval
Support for multiple documentation sources
Semantic search capabilities
Automated documentation processing
Real-time context augmentation for LLMs
Use cases of RAG Documentation MCP Server
Enhancing AI responses with relevant documentation
Building documentation-aware AI assistants
Creating context-aware tooling for developers
Implementing semantic documentation search
Augmenting existing knowledge bases
FAQ from RAG Documentation MCP Server
What is the purpose of the search_documentation tool?
What is the purpose of the search_documentation tool?
It allows you to search through stored documentation using natural language queries and returns relevant excerpts with context.
How do I add new documentation sources?
How do I add new documentation sources?
Use the extract_urls tool to extract URLs from a webpage and optionally add them to the processing queue. Then, use the run_queue tool to process and index the URLs.
What environment variables are required?
What environment variables are required?
You need to provide values for OPENAI_API_KEY, QDRANT_URL, and QDRANT_API_KEY.
How do I remove documentation from the system?
How do I remove documentation from the system?
Use the remove_documentation tool and provide the URLs of the documentation sources you want to remove.
What is the purpose of the documentation queue?
What is the purpose of the documentation queue?
The queue holds URLs that are waiting to be processed and indexed. You can manage the queue using the list_queue, run_queue, and clear_queue tools.