首篇MCP技术生态全面综述:核心组件、工作流程、生命周期

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.

重磅!Google宣布拥抱MCP,同时带来了Agent互联新协议A2A

Google宣布支持MCP并推出自家Agent互联协议A2A,旨在解决异构实现下的互操作性问题。该协议通过定义客户端Agent和远程Agent之间的交互模式来实现互操作,核心目标是让不同供应商、不同框架构建的Agent能够无缝通信、安全交换信息并协同执行任务。

Agentic Mesh:Agent系统进化的下一个方向(Agent、生态系统原则)

Agentic Mesh 是一个互联生态系统,旨在使自主Agent遵循六个原则:目标明确性、责任制、可信赖性、独立性、智能性和协作性,并具备五大特性:可发现性、可观察性、互操作性、可认证性和经济活力。