Developer Wraps RAG Agent in MCP Server to Enable Shared AI Tool Access

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A developer has built a custom Model Context Protocol (MCP) server that exposes a retrieval-augmented generation (RAG) agent and other business tools to AI systems via a standardized interface. The project uses FastMCP and currently offers four tool categories: calculator functions, a company document search powered by a RAG pipeline, employee leave lookups, and IT ticket status queries. The RAG search tool proved the most complex, as the MCP server must communicate with a separately running FastAPI service over HTTP rather than through direct function calls. The developer plans to extend authentication uniformly across all tools, replace in-memory data stores with real databases, and eventually integrate the MCP server as a shared tool layer for multi-agent workflows. The source code is publicly available on GitHub, and the project highlights how standardized protocols like MCP could underpin more scalable enterprise AI architectures.

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