文章摘要
The article presents a comprehensive guide to implementing the Model Context Protocol (MCP) using Python.
- It outlines MCP's role in facilitating AI assistant interaction with external tools and services.
- The guide details the protocol's JSON-based structure for defining tools, requests, and responses.
- Practical examples are given for developing MCP servers, which act as tool providers.
- It also illustrates how AI assistants can effectively consume and integrate these MCP-defined tools.