Ragmap

Ragmap functions as a crucial discovery and routing layer for retrieval-augmented generation (RAG) solutions, enabling both AI agents and human users to efficiently identify the optimal retrieval MCP server for specific tasks and constraints. It achieves this by ingesting official MCP Registry data, enriching records with RAG-specific metadata, and then serving a subregistry API. While Ragmap does not perform retrieval itself, index private documents, or host personal vector databases, it acts as an intelligent intermediary, indexing and enhancing retrieval-capable servers to guide users toward the most appropriate external tools for their actual retrieval needs.

Key Features

Use Cases