R2R RAG Search Agent

About

This project offers an MCP server designed to seamlessly integrate R2R (Retrieval-Augmented Generation) functionalities with Claude Desktop. It provides two primary implementations: a custom server featuring five specialized tools including search, RAG, advanced search, graph search, and advanced RAG, and an OpenAPI server that grants full access to all R2R API endpoints through auto-generated specifications. Users can leverage these tools to enhance Claude Desktop's capabilities with powerful knowledge base search (vector, graph, web, document) and intelligent response generation.

Key Features

• OpenAPI MCP Server providing full access to all R2R API endpoints
• Retrieval-Augmented Generation (RAG) for advanced answer generation
• MCP Inspector GUI for visual testing and interaction with R2R tools
• 0 GitHub stars
• Enhanced search capabilities across R2R knowledge bases (vector, graph, web, document)
• Custom MCP Server with 5 specialized tools (search, rag, advanced_search, graph_search, advanced_rag)

Use Cases

• Enhancing Claude Desktop's intelligence with advanced RAG and search capabilities from R2R
• Integrating R2R's diverse knowledge retrieval features into AI agent workflows
• Developing and testing R2R tool integrations using a visual inspector interface