摘要
This talk provides a Step-by-step Guide to the Model Context Protocol (MCP) proposed by Anthropic, a rapidly evolving standard for letting LLMs access external services and resources. We will demonstrate how Python developers can quickly build MCP servers using tools like FastMCP or the official Python SDK. We will focus on a showcase demo that guides you from @mcp.tool registration to a live LLM invocation. Beyond basic setup, we'll discuss key considerations and best practices for building MCP integrations. We will also explore real-world OSS examples such as browser automation via Playwright. After this talk, you’ll be ready to integrate MCP-powered AI agents into your projects, with full source code provided to replicate the workflow.