Mcp Ragdocs provides vector-based semantic search and retrieval tools for documentation, enabling AI assistants to augment responses with relevant context from indexed sources. The server offers tools to search documentation through natural language queries, manage documentation sources, extract URLs from webpages, and process documentation queues for indexing. It solves the problem of efficiently retrieving contextually relevant documentation at scale by leveraging vector embeddings and semantic search capabilities.
claude mcp add --transport stdio hannesrudolph-mcp-ragdocs uvx mcp-ragdocs