mcp-ragdocs
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RAG Documentation MCP Server is a tool designed to enhance AI assistants by providing documentation retrieval and processing through vector search. It aims to augment AI responses with context from documentation and supports seamless management and monitoring through a web interface.
RAG Documentation MCP Server
An MCP server implementation that enables AI assistants to retrieve and process documentation through vector search. It provides tools like searching, listing, extracting, and managing documentation sources to enhance AI responses with relevant context.
Features
- Vector search for documentation
- List and manage documentation sources
- Real-time queue monitoring via a web interface
- Configuration support for local embedding generation with fallback options
Quick Start
- Enhance AI response with documentation
- Build documentation-aware AI assistants
- Semantic documentation search
Docker Compose Setup
- Includes
docker-compose.ymlfor easy deployment - Provides a web interface for monitoring and management
Configuration
- Uses Ollama for local embeddings, with OpenAI as a fallback