MCP 教程:在 Python 中构建 AI 工具服务器

出处: MCP Tutorial: Build an AI Tool Server in Python

发布: 2026年2月13日

📄 中文摘要

MCP(模型上下文协议)是一种开放标准,旨在解决当前 AI 模型无法与现实世界进行有效交互的问题。AI 模型虽然具备思考能力,但在没有手动集成的情况下,无法访问文件、数据库或进行 API 调用。MCP 为 AI 模型提供了一种通用的连接工具和数据的方式,类似于 USB-C 对于设备的作用。通过本教程,读者将学习如何从零开始在 Python 中构建一个功能完整的 MCP 服务器。

📄 English Summary

MCP Tutorial: Build an AI Tool Server in Python

The Model Context Protocol (MCP) addresses a critical limitation faced by AI models today: their inability to interact with the real world without manual integration. While AI models can think, they lack the capability to access files, perform database queries, or make API calls. MCP offers a universal way for AI models to connect to tools and data, akin to how USB-C serves various devices. This tutorial guides readers through the process of building a fully functional MCP server in Python from scratch.

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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等