--- title: "模型上下文协议 - Agent 与智能体系统 - AI·外脑 | 思行致远" canonical: "https://siyuanailab.com/knowledge/ai-core/agents/model-context-protocol/" dateModified: "2026-06-29" datePublished: "2026-06-29" --- 打开 AI·外脑目录 AI·外脑 [返回专栏首页](https://siyuanailab.com/knowledge/) × 站内搜索 ⌕ 主要栏目 - [AI 核心概念](https://siyuanailab.com/knowledge/ai-core/) - [工作流](https://siyuanailab.com/knowledge/workflows/) - [工具配置与选型](https://siyuanailab.com/knowledge/toolkits/) - [信源与标准](https://siyuanailab.com/knowledge/sources/) - [场景案例 待开发](https://siyuanailab.com/knowledge/scenarios/) - [职业与能力](https://siyuanailab.com/knowledge/career/) 专题 - [从这里开始](https://siyuanailab.com/knowledge/start/) - [获取与安装](https://siyuanailab.com/knowledge/install/) - [建设日志](https://siyuanailab.com/knowledge/ops/) [AI 核心概念子目录](https://siyuanailab.com/knowledge/ai-core/) [基础概念 **9**](https://siyuanailab.com/knowledge/ai-core/foundations/) - [01-01 人工智能](https://siyuanailab.com/knowledge/ai-core/foundations/artificial-intelligence/) - [01-02 生成式 AI](https://siyuanailab.com/knowledge/ai-core/foundations/generative-ai/) - 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类比：像给 AI 工具世界制定统一插头和插座。 - 关键澄清： | 它不是什么 | 它是什么 | | --- | --- | | 不是某一个模型 | 连接模型应用与外部资源的协议层 | ## 二、为什么重要 - 它降低了工具接入成本，让不同应用更容易复用能力。 - 不懂它会怎样：协议接通后仍要处理权限、认证和数据边界。 ## 三、日常怎么理解 - 用一句话讲给非技术朋友听：MCP 是 AI 调工具和资料的通用接口协议。 - 常见场景：让桌面 AI 助手读取文件、连数据库、查浏览器或调用内部服务。 ## 四、常见误解 | 误解 | 真相 | | --- | --- | | 用了 MCP 就自动安全 | MCP 只是接口标准，安全要靠认证、权限和审计。 | ## 五、延伸阅读 - 本知识库相关：工具调用、API密钥即护栏 - [Model Context Protocol documentation](https://modelcontextprotocol.io/docs) - 06-Knowledge: MCP认证隔离架构.md: ` ## 适用场景与行动 **场景：**适合用来建立 AI 核心概念的共同语言。 **适合谁：**非技术创业者、AI 产品使用者、内容与业务负责人 **下一步：**先用一句话复述这个概念，再判断它和你的业务场景有什么关系。 这张卡片由杨思远基于真实工作流和实测经验整理。 如发现信息过时或有误，可通过 [/contact](https://siyuanailab.com/contact) 反馈。 [上一张：委托机制](https://siyuanailab.com/knowledge/ai-core/agents/delegation/) [下一张：智能体工作流](https://siyuanailab.com/knowledge/ai-core/agents/agentic-workflow/) [返回当前分类](https://siyuanailab.com/knowledge/ai-core/agents/) [返回 AI·外脑入口](https://siyuanailab.com/knowledge/)