深度剖析 Model Context Protocol 协议设计理念、JSON-RPC 传输层、与 OpenAI Function Call 的本质差异,以及 IHUI-AI 如何同时实现 MCP 客户端与服务端。
Anthropic standardizza tool calling con MCP: client LLM (Claude, Cursor) riusano tool server su standard JSON-RPC 2.0 senza interfacce proprietarie. Per tech lead significa vendor lock-in ridotto, Agent composable, tool discovery runtime — go-to-market AI più veloce.
李春川
Posted on Jul 28
• Originally published at ihui.ai
MCP 协议深度解析:从 Function Call 到通用工具调用标准
Model Context Protocol(简称 MCP)是 Anthropic 在 2024 年底开源的协议,目标是把「AI 调用外部工具」从各家自定义的接口,统一成一种像 USB-C 一样的标准。本文从协议原理出发,讲清 MCP 与 Function Call 的本质差异,以及 IHUI-AI 项目里 MCP 客户端 + 服务端的双向实现。
深入解析 Model Context Protocol (MCP) 协议设计、server/client 实现、与 LangGraph 集成模式,包含 IHUI-AI 实战经验。
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