MCP

首篇MCP技术生态全面综述：核心组件、工作流程、生命周期

作者

Model Context Protocol (MCP) is a standardized interface aimed at achieving seamless interaction between AI models and external tools and resources, breaking down data silos and enhancing interoperability across different systems. MCP’s core components include the MCP host, client, and server, working together to enable secure and efficient communication with AI applications and external data sources. It covers lifecycle stages like creation, operation, and updates of MCP servers, along with an ecosystem including key adopters such as Anthropic, OpenAI, and community-driven platforms. This protocol also discusses security threats at each stage and proposed mitigation strategies.

连接 GSC、Ads和Claude AI通过自然语言对话分析网站数据提升优化效率，检测照片中的特定人脸并通知指定联系人

作者

mcp-agent基于MCP协议简化智能代理构建；DocAgent利用多智能体和分层处理自动生成高质量Python文档字符串；Google Search Console MCP server连接GSC和Claude AI提升SEO效率；Google Ads MCP通过自然语言对话分析广告数据优化效果；Find My Kids利用WhatsApp检测特定人脸并通知指定联系人。

我说：「给你 20 美金小费」，AI 掏出了收款码…

作者

蚂蚁‘百宝箱’支持MCP后，AI模型能主动发起交易并进行付款。开发者可以通过MCP插件市场调用支付宝、高德等服务。尽管这是沙盒测试版，但模拟了AI在真实世界中的交互流程，使智能体能够完成从请求到执行的完整链路，标志着其成为‘世界的参与者’。