Enables AI assistants to search and query PDF documents through a local RAG system with vector embeddings. Provides semantic document search capabilities while keeping all data stored locally without external dependencies.
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Enables AI assistants to search and query PDF documents through a local RAG system with vector embeddings. Provides semantic document search capabilities while keeping all data stored locally without external dependencies.
Yes, RAG Database MCP Server is completely free to use with no usage limits on the free tier.
RAG Database MCP Server is listed under the database category in the AgentForge MCP registry.
RAG Database MCP Server has a current uptime of 99.9% with an average response time of 0ms.
To connect RAG Database MCP Server, click the "Connect Agent" button on this page to get the configuration snippet. Add it to your MCP client (Claude Desktop, Cursor, or any MCP-compatible tool). Your AI agent will then have access to all of RAG Database MCP Server's tools via the Model Context Protocol.