Model Context Protocol

DeepWiki开源平替为GitHub自动创建Wiki文档，会议信息助你充分准备会议，将MCP工具集成到ChatGPT等AI平台

作者

DeepWiki 是一款 AI 驱动的工具，能为 GitHub 等代码仓库自动创建精美、交互式 Wiki 文档；Meeting Prep Agent 利用 Tavily 的高级搜索功能和 Google Calendar 集成帮助用户准备会议；SuperCoder 是一个在终端中运行的编码助手，具备代码搜索、编辑等多功能；MCP SuperAssistant 是一款 Chrome 扩展程序，集成 MCP 工具增强 AI 助手能力；MiMo 是小米开发的一系列预训练和后训练策略优化的大语言模型。

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.