Manages and semantically searches documents using AI embeddings, bridging knowledge gaps for various content types.
The Documentation server acts as an AI-powered knowledge base built on the Model Context Protocol (MCP). It allows users to upload, manage, and retrieve information from documents through advanced semantic search capabilities. Designed for easy integration with MCP clients, it's ideal for making complex information readily accessible, whether it's new framework documentation, API guides, or internal company resources, all without complex setup.
Key Features
01Automated smart chunking for text processing
02AI-powered semantic search with embeddings
03Supports file uploads (.txt, .md) and direct content addition
04Zero-setup local storage with no database required
05Multilingual support with quality embeddings
060 GitHub stars
Use Cases
01Managing and searching API documentation
02Organizing internal company guides and resources
