RAG Documentation MCP Server
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.
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API key for authenticating with Qdrant
URL of your Qdrant vector database instance
Your OpenAI API key for embeddings generation
Security 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 documentation from multiple sources using Model Context Protocol.
Added May 30, 2025
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.
7 toolsAdded May 30, 2025
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.
Added May 30, 2025
Provides up-to-date, version-aware documentation indexing and advanced semantic search via the Model Context Protocol to enhance AI coding assistants with accurate, reliable, and private access to official code references from multiple sources.
Added May 29, 2025
Enables AI assistants to search package and service documentation via Model Context Protocol, providing detailed implementation insights, examples, and specifications through a powerful API integration.
Added May 30, 2025