Building a RAG System from Scratch — MCP: Exposing pgvector as a Reusable Tool Server

The article discusses the development of a reusable tool server that leverages pgvector to enhance AI agents' capabilities. Previously, these tools were embedded directly into Python scripts, limiting their use to specific applications. Now, through the Model Context Protocol (MCP), these search functions are being transformed into a standalone server, making them accessible to various large language model clients like Claude Desktop and Gemini agents. This shift not only broadens the potential applications of these tools but also sets a foundation for future integrations, showcasing a significant advancement in modular and flexible AI tool deployment.