The Protocol That Cleaned Up Our Agent Architecture
中文摘要
本文探讨了 MCP 协议如何将分散的工具定义转化为稳定且可发现的服务器，从而优化 AI 智能体架构。
English Summary
This article explores how the Model Context Protocol (MCP) optimizes AI agent architecture by converting scattered tool definitions into a stable, discoverable server.
Original Excerpt
A detailed look at MCP that turned my scattered tool definitions into a stable, discoverable server The post The Protocol That Cleaned Up Our Agent Architecture appeared first on Towards Data Science.