RAG Documentation MCP Server
Provides tools for retrieving, managing, and processing documentation via vector search to enhance AI assistant responses with relevant, context-aware information using the Model Context Protocol.
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Your OpenAI API key
The URL of the Qdrant server
http://localhost:6333Security Notice
Your environment variables and credentials are securely stored and encrypted. LangDB never shares these configuration values with third parties.
Provides vector-based semantic search and real-time context augmentation for AI assistants by retrieving and processing multiple documentation sources through the Model Context Protocol.
Added May 30, 2025
Enables Claude to search and access documentation from popular AI libraries like LangChain, LlamaIndex, and OpenAI using the Model Context Protocol for seamless, context-aware information retrieval within conversations.
Added May 30, 2025
Provides seamless access to AI documentation via Model Context Protocol, enabling developers to efficiently integrate and enhance AI assistant capabilities with accurate, context-rich information.
Added May 29, 2025
Provides vector-based semantic search and real-time context augmentation for AI assistants by retrieving and processing documentation from multiple sources using Model Context Protocol.
Added May 30, 2025
Enables crawling websites to generate searchable Markdown documentation with semantic chunking and vector embeddings, providing efficient Model Context Protocol tools for document listing, heading retrieval, and semantic search integration.
Added May 29, 2025