記事の概要
A Rails-based Model Context Protocol (MCP) server has undergone a significant refactor, reducing its architectural complexity from 12 tools down to just 4.
- The streamlined server now utilizes Ruby, Rails, Postgres, and Docker Compose to provide a more efficient backend for AI assistants.
- It functions as a minimal context provider, incorporating `pg_search` for Retrieval-Augmented Generation (RAG) capabilities.
- The project also features the development of `ruby_openai_tool_calls`, an alternative solution for defining and integrating AI tool calls, moving away from LangChain.
- This MCP server is designed to directly power tools and supply context for various AI assistants, including Claude.