Mcp Documentation Server

The MCP Documentation Server provides local-first document management and semantic search using an embedded Orama vector database, offering hybrid search capabilities (full-text and vector similarity), intelligent chunking with parent-child relationships, and optional AI-powered analysis via Google Gemini. The server includes a built-in web dashboard for document management, drag-and-drop file uploads (.txt, .md, .pdf), and context window retrieval, while eliminating the need for external databases or cloud services through embedded vector embeddings and an LRU cache for performance optimization. It solves the problem of managing and searching through local documents without external dependencies while providing rich contextual information to language models through semantic understanding of document content.