Docs RAG — MCP Servers
Enables querying of local documents using retrieval-augmented generation (RAG) with LLMs.
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Enables querying of local documents using retrieval-augmented generation (RAG) with LLMs. This MCP server integrates with the Model Context Protocol to provide AI agents and applications with structured access to Docs RAG's capabilities. The server enables seamless interaction between LLMs and the underlying services through standardized protocols. Key integration points include: - Direct API access through MCP tools - Structured data exchange with AI agents - Real-time interaction capabilities - Standardized protocol compliance The server is designed to work with popular MCP clients like Claude Desktop, Cursor, and other AI development environments.