[{"data":1,"prerenderedAt":733},["ShallowReactive",2],{"blog-post-zh-cn-mcp-explained":3},{"_path":4,"_dir":5,"_draft":6,"_partial":6,"_locale":7,"title":8,"description":9,"date":10,"tags":11,"body":14,"_type":727,"_id":728,"_source":729,"_file":730,"_stem":731,"_extension":732},"\u002Fzh-cn\u002Fblog\u002Fmcp-explained","blog",false,"","一文读懂 MCP：模型上下文协议为什么成了 AI 工具界的 USB-C","用大白话讲清 MCP 是什么、客户端和服务器如何协作、为什么所有主流智能体框架都采纳了它，以及它对搭建 AI 团队意味着什么。","2026-07-18",[12,13],"concepts","mcp",{"type":15,"children":16,"toc":717},"root",[17,36,43,63,84,90,95,118,123,156,168,173,178,253,266,278,284,297,310,315,327,333,338,408,427,432,445,459,464,469,474,479,539,544,558,655,685,690,695,699,711],{"type":18,"tag":19,"props":20,"children":21},"element","p",{},[22,25,34],{"type":23,"value":24},"text","只要你在 2026 年接触过 AI 智能体，就一定见过这三个字母：MCP。它出现在 Claude Code 的配置里、ChatGPT 的连接器设置里、每一个主流智能体框架的文档里。",{"type":18,"tag":26,"props":27,"children":31},"a",{"href":28,"rel":29},"https:\u002F\u002Fmodelcontextprotocol.io",[30],"nofollow",[32],{"type":23,"value":33},"模型上下文协议（Model Context Protocol）",{"type":23,"value":35},"从 2024 年底 Anthropic 的一篇公告，到成为整个智能体生态的公共基础设施，只用了大约一年——这是软件史上标准普及最快的案例之一。这篇文章讲清楚三件事：它是什么，它为什么赢，以及最实际的——如果你要组建的是一支 AI 团队而不只是和一个聊天机器人对话，它对你意味着什么。",{"type":18,"tag":37,"props":38,"children":40},"h2",{"id":39},"要解决的问题每个集成都要重复造轮子",[41],{"type":23,"value":42},"要解决的问题：每个集成都要重复造轮子",{"type":18,"tag":19,"props":44,"children":45},{},[46,48,54,56,61],{"type":23,"value":47},"语言模型本身只会说话。要让它成为真正干活的\"员工\"，它必须能",{"type":18,"tag":49,"props":50,"children":51},"strong",{},[52],{"type":23,"value":53},"够得着",{"type":23,"value":55},"东西：你的 GitHub 仓库、你的 Slack、你的数据库、你的日历、一个浏览器。在 MCP 出现之前，每一条这样的连接都是定制集成——更糟的是，是",{"type":18,"tag":49,"props":57,"children":58},{},[59],{"type":23,"value":60},"每个 AI 应用各自定制",{"type":23,"value":62},"。Claude 要写一套自己的 GitHub 连接器，每家创业公司的智能体产品再写一套，你的内部工具还得写第三套。N 个应用乘以 M 个工具，就是 N×M 个集成，每个都有自己的鉴权处理、自己的 bug、自己的维护成本。",{"type":18,"tag":19,"props":64,"children":65},{},[66,68,75,77,82],{"type":23,"value":67},"MCP 用一个开放协议取代了这一切。",{"type":18,"tag":26,"props":69,"children":72},{"href":70,"rel":71},"https:\u002F\u002Fwww.anthropic.com\u002Fnews\u002Fmodel-context-protocol",[30],[73],{"type":23,"value":74},"Anthropic 在 2024 年 11 月发布时的定位",{"type":23,"value":76},"正是如此：一个通用、开放的标准，用单一协议取代碎片化的集成。官方文档里有个比喻传播得太广，以至于成了标准说法：MCP 是 ",{"type":18,"tag":49,"props":78,"children":79},{},[80],{"type":23,"value":81},"AI 应用的 USB-C 接口",{"type":23,"value":83},"。工具连接只需构建一次，任何\"说这门协议\"的应用都能插上来用。",{"type":18,"tag":37,"props":85,"children":87},{"id":86},"客户端-服务器模型说人话版",[88],{"type":23,"value":89},"客户端 \u002F 服务器模型，说人话版",{"type":18,"tag":19,"props":91,"children":92},{},[93],{"type":23,"value":94},"MCP 分两端，心智模型其实比术语简单得多：",{"type":18,"tag":96,"props":97,"children":98},"ul",{},[99,105],{"type":18,"tag":100,"props":101,"children":102},"li",{},[103],{"type":23,"value":104},"**MCP 服务器（server）**是一个小程序，把某样有用的东西——一个服务、一个数据库、一批文件——包装起来，以标准格式对外提供。GitHub 的 MCP 服务器知道怎么列出你的 PR、创建 issue；Postgres 服务器知道怎么执行查询。各系统的脏活细节，由各自的服务器消化。",{"type":18,"tag":100,"props":106,"children":107},{},[108,110,116],{"type":23,"value":109},"**MCP 客户端（client）**位于 AI 应用内部（规范里把应用叫作 ",{"type":18,"tag":111,"props":112,"children":113},"em",{},[114],{"type":23,"value":115},"host",{"type":23,"value":117},"——Claude、ChatGPT、VS Code、Cursor，或你的智能体框架）。客户端负责连接服务器、询问对方能做什么、转发模型的请求。",{"type":18,"tag":19,"props":119,"children":120},{},[121],{"type":23,"value":122},"一个服务器可以对外提供三类东西，这个区分值得记住：",{"type":18,"tag":96,"props":124,"children":125},{},[126,136,146],{"type":18,"tag":100,"props":127,"children":128},{},[129,134],{"type":18,"tag":49,"props":130,"children":131},{},[132],{"type":23,"value":133},"工具（Tools）",{"type":23,"value":135},"——模型可以执行的动作（\"创建一个 issue\"\"跑这条查询\"\"发这条消息\"）。",{"type":18,"tag":100,"props":137,"children":138},{},[139,144],{"type":18,"tag":49,"props":140,"children":141},{},[142],{"type":23,"value":143},"资源（Resources）",{"type":23,"value":145},"——模型可以读取的数据（文件、记录、文档）。",{"type":18,"tag":100,"props":147,"children":148},{},[149,154],{"type":18,"tag":49,"props":150,"children":151},{},[152],{"type":23,"value":153},"提示词（Prompts）",{"type":23,"value":155},"——服务器提供的可复用、可参数化的工作流（\"总结本周的工单\"）。",{"type":18,"tag":19,"props":157,"children":158},{},[159,161,166],{"type":23,"value":160},"关键特性在于：AI 应用完全不需要了解 GitHub 或 Postgres 的任何细节。它问服务器一句\"你能提供什么？\"，得到一份机器可读的回答，剩下的交给模型。整个魔法就这一招——基于标准传输格式的",{"type":18,"tag":49,"props":162,"children":163},{},[164],{"type":23,"value":165},"能力发现",{"type":23,"value":167},"。",{"type":18,"tag":37,"props":169,"children":171},{"id":170},"它为什么赢",[172],{"type":23,"value":170},{"type":18,"tag":19,"props":174,"children":175},{},[176],{"type":23,"value":177},"开放标准通常死于无人理睬。MCP 没有，时间线本身就是答案：",{"type":18,"tag":96,"props":179,"children":180},{},[181,199,225,235],{"type":18,"tag":100,"props":182,"children":183},{},[184,189,191,197],{"type":18,"tag":49,"props":185,"children":186},{},[187],{"type":23,"value":188},"2024 年 11 月",{"type":23,"value":190},"——Anthropic ",{"type":18,"tag":26,"props":192,"children":194},{"href":70,"rel":193},[30],[195],{"type":23,"value":196},"以开放标准的形式发布 MCP",{"type":23,"value":198},"，同时放出 SDK 和一批参考服务器。早期采用者包括 Block 和 Apollo，还有 Zed、Replit、Sourcegraph 等开发工具。",{"type":18,"tag":100,"props":200,"children":201},{},[202,207,209,216,218,223],{"type":18,"tag":49,"props":203,"children":204},{},[205],{"type":23,"value":206},"2025 年 3 月",{"type":23,"value":208},"——转折点。OpenAI——Anthropic 最直接的竞争对手——",{"type":18,"tag":26,"props":210,"children":213},{"href":211,"rel":212},"https:\u002F\u002Ftechcrunch.com\u002F2025\u002F03\u002F26\u002Fopenai-adopts-rival-anthropics-standard-for-connecting-ai-models-to-data\u002F",[30],[214],{"type":23,"value":215},"宣布全线产品支持 MCP",{"type":23,"value":217},"，包括 Agents SDK 和 ChatGPT 桌面端。Sam Altman 的原话是：\"People love MCP and we are excited to add support across our products.\"（大家都喜欢 MCP，我们很高兴在自家产品中全面支持它。）当你最强劲的对手采纳了你的协议，它就不再是\"你的协议\"，而成了\"",{"type":18,"tag":49,"props":219,"children":220},{},[221],{"type":23,"value":222},"这个行业的",{"type":23,"value":224},"协议\"。",{"type":18,"tag":100,"props":226,"children":227},{},[228,233],{"type":18,"tag":49,"props":229,"children":230},{},[231],{"type":23,"value":232},"2025 年 4 月",{"type":23,"value":234},"——Google DeepMind 确认 Gemini 模型将支持 MCP。",{"type":18,"tag":100,"props":236,"children":237},{},[238,243,244,251],{"type":18,"tag":49,"props":239,"children":240},{},[241],{"type":23,"value":242},"2025 年 12 月",{"type":23,"value":190},{"type":18,"tag":26,"props":245,"children":248},{"href":246,"rel":247},"https:\u002F\u002Fwww.anthropic.com\u002Fnews\u002Fdonating-the-model-context-protocol-and-establishing-of-the-agentic-ai-foundation",[30],[249],{"type":23,"value":250},"将 MCP 捐赠给 Agentic AI Foundation",{"type":23,"value":252},"——Linux 基金会旗下的专项基金，由 Anthropic、Block、OpenAI 共同发起，Google、Microsoft、AWS 等公司支持。彼时 Anthropic 统计的活跃公开 MCP 服务器已超过一万个。",{"type":18,"tag":19,"props":254,"children":255},{},[256,258,264],{"type":23,"value":257},"到了 2026 年，\"它支持 MCP 吗\"这个问题在智能体框架圈里已经不值得问了——我们在",{"type":18,"tag":26,"props":259,"children":261},{"href":260},"\u002Fzh-CN\u002Fblog\u002Fbest-multi-agent-frameworks-2026",[262],{"type":23,"value":263},"多智能体框架横评",{"type":23,"value":265},"中对比过的六大框架（Claude Agent SDK、LangGraph、CrewAI、OpenAI Agents SDK、AG2、AWS Strands）全部支持。它成了入场标配，就像 Web 框架支持 HTTP 一样天经地义。",{"type":18,"tag":19,"props":267,"children":268},{},[269,271,276],{"type":23,"value":270},"为什么别的尝试没成，它成了？回头看有三点：它发布时就带着能跑的代码（SDK 和真实服务器，而不是一份规范 PDF）；它解决的是每个 AI 应用厂商",{"type":18,"tag":49,"props":272,"children":273},{},[274],{"type":23,"value":275},"当时就在疼",{"type":23,"value":277},"的问题；而且 Anthropic 把它送了出去——先是开放规范，后来正式交给中立基金会——采纳它从来不等于向竞争对手举白旗。",{"type":18,"tag":37,"props":279,"children":281},{"id":280},"对你的-ai-团队意味着什么",[282],{"type":23,"value":283},"对你的 AI 团队意味着什么",{"type":18,"tag":19,"props":285,"children":286},{},[287,289,295],{"type":23,"value":288},"从这里开始，MCP 不再是协议冷知识，而是一个经营决策。如果你在搭建我们所说的 ",{"type":18,"tag":26,"props":290,"children":292},{"href":291},"\u002Fzh-CN\u002Fblog\u002Fhow-to-build-your-ai-team-2026",[293],{"type":23,"value":294},"AI 团队",{"type":23,"value":296},"——多个不同角色的智能体，操作你真实的业务系统——MCP 改变了两笔账：",{"type":18,"tag":19,"props":298,"children":299},{},[300,302,308],{"type":23,"value":301},"**一套连接，全员共享。**没有标准的话，每个智能体（或每家厂商的产品）都要给你的 CRM、工单系统、数据库单独做集成。有了 MCP，每个系统只需架设一个服务器，所有会说这门协议的智能体都能用。你的客服智能体、调研智能体、运营智能体通过同一个连接器访问 Slack，用同一套规则管控。当你",{"type":18,"tag":26,"props":303,"children":305},{"href":304},"\u002Fzh-CN\u002Fblog\u002Fai-employee-roles-you-can-hire-2026",[306],{"type":23,"value":307},"给团队增加一个新角色",{"type":23,"value":309},"时，它第一天就继承整个工具层，而不是先立项做集成。",{"type":18,"tag":19,"props":311,"children":312},{},[313],{"type":23,"value":314},"**降低厂商锁定。**你在集成上的投入——服务器、鉴权配置、运维经验——沉淀在协议层，而不是锁在某一个平台里。把智能体从一个框架迁到另一个，或者换掉背后的模型，工具连接可以原样带走。过去的切换成本是\"所有集成重做一遍\"，现在变成\"把新客户端指向同一批服务器\"。",{"type":18,"tag":19,"props":316,"children":317},{},[318,320,325],{"type":23,"value":319},"这两点都不会让 AI 团队里",{"type":18,"tag":49,"props":321,"children":322},{},[323],{"type":23,"value":324},"真正难",{"type":23,"value":326},"的部分变容易——角色定义、质量控制、什么时候该由人接手，仍然是你的功课。但 MCP 消灭了一整类管道工程，而这类工程过去往往要吃掉每个智能体项目的第一个月。",{"type":18,"tag":37,"props":328,"children":330},{"id":329},"生态实况你真的会用到的服务器",[331],{"type":23,"value":332},"生态实况：你真的会用到的服务器",{"type":18,"tag":19,"props":334,"children":335},{},[336],{"type":23,"value":337},"举些具体例子，免得太抽象。实践中用得最多的一批服务器：",{"type":18,"tag":96,"props":339,"children":340},{},[341,356,373,383,393],{"type":18,"tag":100,"props":342,"children":343},{},[344,354],{"type":18,"tag":49,"props":345,"children":346},{},[347],{"type":18,"tag":26,"props":348,"children":351},{"href":349,"rel":350},"https:\u002F\u002Fgithub.com\u002Fgithub\u002Fgithub-mcp-server",[30],[352],{"type":23,"value":353},"GitHub 官方 MCP 服务器",{"type":23,"value":355},"——仓库、issue、PR、Actions，绝大多数编程智能体配置的骨干。",{"type":18,"tag":100,"props":357,"children":358},{},[359,371],{"type":18,"tag":49,"props":360,"children":361},{},[362,364],{"type":23,"value":363},"微软的 ",{"type":18,"tag":26,"props":365,"children":368},{"href":366,"rel":367},"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fplaywright-mcp",[30],[369],{"type":23,"value":370},"Playwright MCP",{"type":23,"value":372},"——给智能体一个真实浏览器：导航、点击、填表、读页面。没有 API 的网页任务，智能体就是靠它完成的。",{"type":18,"tag":100,"props":374,"children":375},{},[376,381],{"type":18,"tag":49,"props":377,"children":378},{},[379],{"type":23,"value":380},"数据库服务器",{"type":23,"value":382},"——Postgres、SQLite 的服务器让智能体能查看表结构、执行查询，\"用自然语言问我们的数据\"从一个 BI 项目变成一行配置。",{"type":18,"tag":100,"props":384,"children":385},{},[386,391],{"type":18,"tag":49,"props":387,"children":388},{},[389],{"type":23,"value":390},"Slack 等通讯类服务器",{"type":23,"value":392},"——读频道、发消息，是智能体参与团队工作流的粘合剂。",{"type":18,"tag":100,"props":394,"children":395},{},[396,406],{"type":18,"tag":49,"props":397,"children":398},{},[399],{"type":18,"tag":26,"props":400,"children":403},{"href":401,"rel":402},"https:\u002F\u002Fgithub.com\u002Fmodelcontextprotocol\u002Fservers",[30],[404],{"type":23,"value":405},"官方参考服务器仓库",{"type":23,"value":407},"——Anthropic 维护的合集（文件系统、网页抓取、记忆、git 等），并链接到更广阔的社区生态。",{"type":18,"tag":19,"props":409,"children":410},{},[411,413,418,420,425],{"type":23,"value":412},"评估任何服务器时有个好习惯：看看它暴露了哪些工具，然后问自己\"我会把这些权限原封不动交给一个新来的外包吗？\" MCP 标准化的是",{"type":18,"tag":49,"props":414,"children":415},{},[416],{"type":23,"value":417},"连接",{"type":23,"value":419},"，不替你决定智能体",{"type":18,"tag":49,"props":421,"children":422},{},[423],{"type":23,"value":424},"应该",{"type":23,"value":426},"碰什么——那仍然是你的决定，正规的客户端也会在工具执行前请求你的确认。",{"type":18,"tag":37,"props":428,"children":430},{"id":429},"如果你不是开发者",[431],{"type":23,"value":429},{"type":18,"tag":19,"props":433,"children":434},{},[435,437,443],{"type":23,"value":436},"你完全不需要亲手碰这些——但它应该影响你怎么选平台。评估智能体产品时（我们在 ",{"type":18,"tag":26,"props":438,"children":440},{"href":439},"\u002Fzh-CN\u002Fblog\u002Flindy-vs-relevance-ai",[441],{"type":23,"value":442},"Lindy vs. Relevance AI",{"type":23,"value":444}," 里对比过两家热门产品），\"支不支持 MCP\"其实是你真正关心的两件事的代理指标：",{"type":18,"tag":446,"props":447,"children":448},"ol",{},[449,454],{"type":18,"tag":100,"props":450,"children":451},{},[452],{"type":23,"value":453},"**触达范围。**支持 MCP 的平台可以接入成千上万个现成服务器，而不是只有厂商自己做的那二十个集成。如果你依赖的工具比较小众，MCP 支持往往就是\"能用\"和\"在路线图上\"的区别。",{"type":18,"tag":100,"props":455,"children":456},{},[457],{"type":23,"value":458},"**退出选项。**建在开放协议上的集成，换平台后还活着；建在私有连接器体系上的，换平台即归零。",{"type":18,"tag":19,"props":460,"children":461},{},[462],{"type":23,"value":463},"实用清单三连问：平台允许自行添加 MCP 服务器吗？它的原生集成底层是不是 MCP？内部系统能不能自带服务器接入？三个都是\"是\"，你的工具层就属于你自己，而不是属于厂商。",{"type":18,"tag":37,"props":465,"children":467},{"id":466},"如果你是开发者",[468],{"type":23,"value":466},{"type":18,"tag":19,"props":470,"children":471},{},[472],{"type":23,"value":473},"上手确实很快，两条路径：",{"type":18,"tag":19,"props":475,"children":476},{},[477],{"type":23,"value":478},"**用现成的服务器。**在 Claude Code 里添加一个服务器只要一条命令：",{"type":18,"tag":480,"props":481,"children":485},"pre",{"className":482,"code":483,"language":484,"meta":7,"style":7},"language-bash shiki shiki-themes github-dark","claude mcp add github -- npx -y @modelcontextprotocol\u002Fserver-github\n","bash",[486],{"type":18,"tag":487,"props":488,"children":489},"code",{"__ignoreMap":7},[490],{"type":18,"tag":491,"props":492,"children":495},"span",{"class":493,"line":494},"line",1,[496,502,508,513,518,524,529,534],{"type":18,"tag":491,"props":497,"children":499},{"style":498},"--shiki-default:#B392F0",[500],{"type":23,"value":501},"claude",{"type":18,"tag":491,"props":503,"children":505},{"style":504},"--shiki-default:#9ECBFF",[506],{"type":23,"value":507}," mcp",{"type":18,"tag":491,"props":509,"children":510},{"style":504},[511],{"type":23,"value":512}," add",{"type":18,"tag":491,"props":514,"children":515},{"style":504},[516],{"type":23,"value":517}," github",{"type":18,"tag":491,"props":519,"children":521},{"style":520},"--shiki-default:#79B8FF",[522],{"type":23,"value":523}," --",{"type":18,"tag":491,"props":525,"children":526},{"style":504},[527],{"type":23,"value":528}," npx",{"type":18,"tag":491,"props":530,"children":531},{"style":520},[532],{"type":23,"value":533}," -y",{"type":18,"tag":491,"props":535,"children":536},{"style":504},[537],{"type":23,"value":538}," @modelcontextprotocol\u002Fserver-github\n",{"type":18,"tag":19,"props":540,"children":541},{},[542],{"type":23,"value":543},"主流智能体框架都有对应写法——一段配置或一个适配器，传入服务器的启动命令或 URL，工具就暴露给你的智能体了。",{"type":18,"tag":19,"props":545,"children":546},{},[547,549,556],{"type":23,"value":548},"**自己写一个。**用官方 SDK（TypeScript、Python 等）包装一个内部系统，代码量少得惊人。用 ",{"type":18,"tag":26,"props":550,"children":553},{"href":551,"rel":552},"https:\u002F\u002Fmodelcontextprotocol.io\u002Fdocs\u002Fdevelop\u002Fbuild-server",[30],[554],{"type":23,"value":555},"FastMCP",{"type":23,"value":557}," 写一个最小的 Python 服务器：",{"type":18,"tag":480,"props":559,"children":563},{"className":560,"code":561,"language":562,"meta":7,"style":7},"language-python shiki shiki-themes github-dark","from mcp.server.fastmcp import FastMCP\n\nmcp = FastMCP(\"orders\")\n\n@mcp.tool()\ndef get_order_status(order_id: str) -> str:\n    \"\"\"查询订单的当前状态。\"\"\"\n    return lookup_status(order_id)  # 你已有的业务逻辑\n\nmcp.run()\n","python",[564],{"type":18,"tag":487,"props":565,"children":566},{"__ignoreMap":7},[567,575,585,594,602,611,620,629,638,646],{"type":18,"tag":491,"props":568,"children":569},{"class":493,"line":494},[570],{"type":18,"tag":491,"props":571,"children":572},{},[573],{"type":23,"value":574},"from mcp.server.fastmcp import FastMCP\n",{"type":18,"tag":491,"props":576,"children":578},{"class":493,"line":577},2,[579],{"type":18,"tag":491,"props":580,"children":582},{"emptyLinePlaceholder":581},true,[583],{"type":23,"value":584},"\n",{"type":18,"tag":491,"props":586,"children":588},{"class":493,"line":587},3,[589],{"type":18,"tag":491,"props":590,"children":591},{},[592],{"type":23,"value":593},"mcp = FastMCP(\"orders\")\n",{"type":18,"tag":491,"props":595,"children":597},{"class":493,"line":596},4,[598],{"type":18,"tag":491,"props":599,"children":600},{"emptyLinePlaceholder":581},[601],{"type":23,"value":584},{"type":18,"tag":491,"props":603,"children":605},{"class":493,"line":604},5,[606],{"type":18,"tag":491,"props":607,"children":608},{},[609],{"type":23,"value":610},"@mcp.tool()\n",{"type":18,"tag":491,"props":612,"children":614},{"class":493,"line":613},6,[615],{"type":18,"tag":491,"props":616,"children":617},{},[618],{"type":23,"value":619},"def get_order_status(order_id: str) -> str:\n",{"type":18,"tag":491,"props":621,"children":623},{"class":493,"line":622},7,[624],{"type":18,"tag":491,"props":625,"children":626},{},[627],{"type":23,"value":628},"    \"\"\"查询订单的当前状态。\"\"\"\n",{"type":18,"tag":491,"props":630,"children":632},{"class":493,"line":631},8,[633],{"type":18,"tag":491,"props":634,"children":635},{},[636],{"type":23,"value":637},"    return lookup_status(order_id)  # 你已有的业务逻辑\n",{"type":18,"tag":491,"props":639,"children":641},{"class":493,"line":640},9,[642],{"type":18,"tag":491,"props":643,"children":644},{"emptyLinePlaceholder":581},[645],{"type":23,"value":584},{"type":18,"tag":491,"props":647,"children":649},{"class":493,"line":648},10,[650],{"type":18,"tag":491,"props":651,"children":652},{},[653],{"type":23,"value":654},"mcp.run()\n",{"type":18,"tag":19,"props":656,"children":657},{},[658,660,666,668,675,677,683],{"type":23,"value":659},"这就是一个可连接的真实服务器：任何 MCP 客户端——Claude、任意主流框架上构建的智能体、同事的 Cursor——现在都能调用 ",{"type":18,"tag":487,"props":661,"children":663},{"className":662},[],[664],{"type":23,"value":665},"get_order_status",{"type":23,"value":667},"。需要传输方式、资源、提示词等进阶内容时，看",{"type":18,"tag":26,"props":669,"children":672},{"href":670,"rel":671},"https:\u002F\u002Fmodelcontextprotocol.io\u002Fdocs\u002Flearn\u002Farchitecture",[30],[673],{"type":23,"value":674},"架构文档",{"type":23,"value":676},"。想现场观摩多个智能体共享这类服务器协同干活，",{"type":18,"tag":26,"props":678,"children":680},{"href":679},"\u002Fzh-CN\u002Fblog\u002Fclaude-code-agent-teams-guide",[681],{"type":23,"value":682},"Claude Code 的 Agent Teams",{"type":23,"value":684}," 是最方便的窗口——队友加载的 MCP 服务器和你的主会话一模一样。",{"type":18,"tag":37,"props":686,"children":688},{"id":687},"结语",[689],{"type":23,"value":687},{"type":18,"tag":19,"props":691,"children":692},{},[693],{"type":23,"value":694},"MCP 赢在把 AI 智能体最无聊的部分——连接真实系统——变成了\"好的那种无聊\"：标准化、可复用、不属于任何人的护城河。对组建 AI 团队的人来说，这部分恰恰就该无聊。在开放标准上把工具层建好一次，然后把注意力花在真正拉开差距的地方——你的智能体做什么、做得多好、彼此怎么配合。",{"type":18,"tag":696,"props":697,"children":698},"hr",{},[],{"type":18,"tag":19,"props":700,"children":701},{},[702,704,710],{"type":23,"value":703},"智能体生态还在快速演化，我们会持续跟进。欢迎关注 BuildYour.Group；如果你正在搭建自己的 AI 团队，",{"type":18,"tag":26,"props":705,"children":707},{"href":706},"\u002F",[708],{"type":23,"value":709},"到首页加入早期体验候补名单",{"type":23,"value":167},{"type":18,"tag":712,"props":713,"children":714},"style",{},[715],{"type":23,"value":716},"html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}",{"title":7,"searchDepth":587,"depth":587,"links":718},[719,720,721,722,723,724,725,726],{"id":39,"depth":577,"text":42},{"id":86,"depth":577,"text":89},{"id":170,"depth":577,"text":170},{"id":280,"depth":577,"text":283},{"id":329,"depth":577,"text":332},{"id":429,"depth":577,"text":429},{"id":466,"depth":577,"text":466},{"id":687,"depth":577,"text":687},"markdown","content:zh-CN:blog:mcp-explained.md","content","zh-CN\u002Fblog\u002Fmcp-explained.md","zh-CN\u002Fblog\u002Fmcp-explained","md",1784513368808]