{"id":834,"date":"2026-07-02T09:25:00","date_gmt":"2026-07-02T01:25:00","guid":{"rendered":"https:\/\/www.eshowai.com\/index.php\/2026\/07\/02\/mcp-%e5%8d%8f%e8%ae%ae%e5%88%b0%e5%ba%95%e6%98%af%e4%bb%80%e4%b9%88%e4%b8%ba%e4%bb%80%e4%b9%88-anthropic-openai-%e9%98%bf%e9%87%8c%e9%80%9a%e4%b9%89%e9%83%bd%e5%9c%a8%e6%8a%a22026-%e5%ae%8c\/"},"modified":"2026-07-09T16:45:19","modified_gmt":"2026-07-09T08:45:19","slug":"mcp-%e5%8d%8f%e8%ae%ae%e5%88%b0%e5%ba%95%e6%98%af%e4%bb%80%e4%b9%88%e4%b8%ba%e4%bb%80%e4%b9%88-anthropic-openai-%e9%98%bf%e9%87%8c%e9%80%9a%e4%b9%89%e9%83%bd%e5%9c%a8%e6%8a%a22026-%e5%ae%8c","status":"publish","type":"post","link":"https:\/\/www.eshowai.com\/index.php\/2026\/07\/02\/mcp-%e5%8d%8f%e8%ae%ae%e5%88%b0%e5%ba%95%e6%98%af%e4%bb%80%e4%b9%88%e4%b8%ba%e4%bb%80%e4%b9%88-anthropic-openai-%e9%98%bf%e9%87%8c%e9%80%9a%e4%b9%89%e9%83%bd%e5%9c%a8%e6%8a%a22026-%e5%ae%8c\/","title":{"rendered":"MCP \u534f\u8bae\u5230\u5e95\u662f\u4ec0\u4e48?"},"content":{"rendered":"

\ufeff\ufeff—<\/p>\n

title: “MCP \u534f\u8bae\u5230\u5e95\u662f\u4ec0\u4e48?\u4e3a\u4ec0\u4e48 Anthropic \/ OpenAI \/ \u963f\u91cc\u901a\u4e49\u90fd\u5728\u62a2(2026 \u5b8c\u6574\u7248)”<\/p>\n

date: 2026-07-02T09:45:00+08:00<\/p>\n

category: 1<\/p>\n

tags: MCP, Model Context Protocol, AI Agent, Anthropic, OpenAI, \u963f\u91cc\u901a\u4e49<\/p>\n

cover: images\/40-mcp-protocol-anthropic-openai-alibaba-cover.png<\/p>\n

description: “2026 \u5e74\u6700\u706b\u7684 AI \u534f\u8bae MCP \u5b8c\u6574\u79d1\u666e:\u5b83\u662f\u4ec0\u4e48\u3001\u4e3a\u4ec0\u4e48\u5927\u5382\u90fd\u5728\u62a2\u3001\u548c Function Calling \u533a\u522b\u3001\u5bf9\u5f00\u53d1\u8005\u7684\u5f71\u54cd\u3002”<\/p>\n

MCP \u534f\u8bae\u5230\u5e95\u662f\u4ec0\u4e48?<\/h1>\n
\"40-mcp-protocol-anthropic-openai-alibaba-cover.png\"<\/figure>\n
\n

\u4e00\u53e5\u8bdd\u7ed3\u8bba:MCP \u662f AI \u65f6\u4ee3\u7684 USB \u63a5\u53e3\u6807\u51c6<\/strong>,\u8c01\u638c\u63e1\u5b83,\u8c01\u638c\u63e1 Agent \u751f\u6001\u3002<\/p>\n<\/blockquote>\n

\u4e00\u3001\u5148\u7528\u4eba\u8bdd\u89e3\u91ca<\/h2>\n

\u60f3\u8c61 2024 \u5e74\u4ee5\u524d,\u6bcf\u4e2a AI \u6a21\u578b\u60f3\u7528\u5de5\u5177(\u67e5\u5929\u6c14\u3001\u53d1\u90ae\u4ef6\u3001\u8bfb\u6570\u636e\u5e93),\u90fd\u5f97\u5355\u72ec\u5199\u4e00\u5957\u63a5\u53e3<\/strong>:<\/p>\n

    \n
  • \u7ed9 GPT-4 \u5199\u4e00\u5957<\/li>\n
  • \u7ed9 Claude \u5199\u4e00\u5957<\/li>\n
  • \u7ed9 Gemini \u5199\u4e00\u5957<\/li>\n
  • \u7ed9\u901a\u4e49\u5199\u4e00\u5957<\/li>\n<\/ul>\n

    \u7d2f\u6b7b\u3002<\/strong><\/p>\n

    MCP(Model Context Protocol)<\/strong> \u662f Anthropic 2024-11 \u63d0\u51fa\u7684\u6807\u51c6,\u6838\u5fc3\u5c31\u4e00\u53e5\u8bdd:<\/p>\n

    \n

    “\u5de5\u5177\u53ea\u8981\u5199\u4e00\u6b21 MCP \u63a5\u53e3,\u6240\u6709 AI \u90fd\u80fd\u7528\u3002”<\/strong><\/p>\n<\/blockquote>\n

    \u5c31\u50cf USB:<\/p>\n

      \n
    • \u9f20\u6807\u5382\u5546\u5199\u4e00\u6b21 USB \u9a71\u52a8<\/li>\n
    • Windows \/ Mac \/ Linux \u90fd\u80fd\u63d2<\/li>\n<\/ul>\n

      \u4e8c\u3001MCP \u7684\u5de5\u4f5c\u539f\u7406(\u4e09\u5c42\u67b6\u6784)<\/h2>\n
      \u250c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510\n\u2502  AI \u6a21\u578b     \u2502  \u2190 Claude \/ GPT \/ \u901a\u4e49(\u4efb\u9009)\n\u2514\u2500\u2500\u2500\u2500\u2500\u2500\u252c\u2500\u2500\u2500\u2500\u2500\u2500\u2518\n       \u2502  MCP \u5ba2\u6237\u7aef\n       \u2502  (Trae \/ Cursor \/ Cline \/ \u81ea\u5bb6 IDE)\n\u250c\u2500\u2500\u2500\u2500\u2500\u2500\u25bc\u2500\u2500\u2500\u2500\u2500\u2500\u2510\n\u2502  MCP \u670d\u52a1\u5668  \u2502  \u2190 \u5de5\u5177 \/ \u6570\u636e\u6e90(\u5929\u6c14 \/ \u6570\u636e\u5e93 \/ GitHub)\n\u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518\n<\/code><\/pre>\n
      \u5173\u952e\u70b9:<\/strong><\/p>\n
      1. AI \u6a21\u578b\u4e0d\u53d8<\/strong>(Claude 4.5 \/ GPT-5 \/ Qwen3)<\/p>\n
      2. \u5ba2\u6237\u7aef\u4e0d\u53d8<\/strong>(Trae \/ Cursor \/ \u81ea\u5bb6 IDE)<\/p>\n
      3. \u53ea\u6362\u5de5\u5177<\/strong>(GitHub MCP \/ Notion MCP \/ \u81ea\u5b9a\u4e49 MCP)<\/p>\n
      \u5f00\u53d1\u8005\u53ea\u9700\u8981\u7ed9”\u5de5\u5177”\u5199\u4e00\u6b21 MCP \u63a5\u53e3\u3002<\/p>\n
      \u4e09\u3001\u548c Function Calling \u7684\u533a\u522b<\/h2>\n
      | \u7ef4\u5ea6 | Function Calling | MCP |<\/p>\n
      |—|—|—|<\/p>\n
      | \u6807\u51c6\u5316 | \u274c \u6bcf\u4e2a\u6a21\u578b\u81ea\u5df1\u4e00\u5957 | \u2705 \u7edf\u4e00\u6807\u51c6 |<\/p>\n
      | \u8de8\u6a21\u578b | \u274c GPT \u7684\u5de5\u5177 Claude \u7528\u4e0d\u4e86 | \u2705 \u5168\u6a21\u578b\u901a\u7528 |<\/p>\n
      | \u590d\u6742\u5ea6 | \u7b80\u5355(\u5355\u6b21\u8c03\u7528)| \u4e2d\u7b49(\u957f\u8fde\u63a5)|<\/p>\n
      | \u751f\u6001 | 0 | 2026 \u5e74\u5df2\u6709 10000+ MCP \u670d\u52a1\u5668 |<\/p>\n
      | \u5927\u5382\u6001\u5ea6 | \u5404\u81ea\u4e3a\u653f | \u5168\u90e8\u652f\u6301<\/strong>|<\/p>\n
      \u7ed3\u8bba:Function Calling \u662f”\u65b9\u8a00”,MCP \u662f”\u666e\u901a\u8bdd”\u3002<\/strong><\/p>\n
      \u56db\u30012026 \u5e74\u5927\u5382\u5728\u62a2\u4ec0\u4e48?<\/h2>\n
      Anthropic(\u53d1\u660e\u8005)<\/h3>\n
        \n
      • 2024-11 \u63d0\u51fa MCP<\/li>\n
      • 2025 \u5f00\u6e90\u5b8c\u6574 SDK<\/li>\n
      • 2026 \u5df2\u6210\u4e8b\u5b9e\u6807\u51c6<\/li>\n<\/ul>\n
        OpenAI(2025-03 \u8ddf\u8fdb)<\/h3>\n
          \n
        • \u5ba3\u5e03 GPT \u5168\u9762\u652f\u6301 MCP<\/li>\n
        • Sam Altman:”MCP \u662f AI \u65f6\u4ee3\u7684 HTTP”<\/li>\n<\/ul>\n
          Google(2025-05)<\/h3>\n
            \n
          • Gemini \u5168\u9762\u652f\u6301 MCP<\/li>\n
          • Android Studio \u96c6\u6210 MCP \u5ba2\u6237\u7aef<\/li>\n<\/ul>\n
            \u963f\u91cc\u901a\u4e49(2025-08)<\/h3>\n
              \n
            • Qwen3 \u6a21\u578b + \u963f\u91cc\u4e91\u767e\u70bc \u5168\u9762\u652f\u6301 MCP<\/li>\n
            • \u56fd\u5185 MCP \u670d\u52a1\u5668\u5e02\u573a\u7b2c\u4e00<\/li>\n<\/ul>\n
              \u5b57\u8282\u8df3\u52a8(2025-10)<\/h3>\n
                \n
              • \u6263\u5b50(Coze)2.0 \u5168\u6808 MCP<\/li>\n
              • Trae IDE \u5185\u7f6e MCP \u7ba1\u7406<\/li>\n<\/ul>\n
                \u817e\u8baf \/ \u767e\u5ea6 \/ \u667a\u8c31<\/h3>\n
                  \n
                • 2025 \u5e74\u5e95\u5168\u90e8\u8ddf\u8fdb<\/li>\n<\/ul>\n
                  \u7ed3\u8bba:\u5927\u5382\u62a2\u7684\u662f”MCP \u670d\u52a1\u5668\u5e02\u573a”\u2014\u2014\u8c01\u7684\u5de5\u5177\u5148\u51fa MCP,\u8c01\u5c31\u9501\u5b9a AI Agent \u751f\u6001\u3002<\/strong><\/p>\n
                  \u4e94\u3001MCP \u7ed9\u5f00\u53d1\u8005\u5e26\u6765\u4ec0\u4e48?<\/h2>\n
                  \u597d\u5904 1:\u5de5\u5177\u5199\u4e00\u6b21,\u6240\u6709 AI \u90fd\u80fd\u7528<\/h3>\n
                  \u4ee5\u524d:<\/p>\n
                  GitHub \u5de5\u5177:\u5199\u7ed9 GPT \u7528(2 \u5929)\n            \u5199\u7ed9 Claude \u7528(2 \u5929)\n            \u5199\u7ed9\u901a\u4e49\u7528(2 \u5929)\n            = 6 \u5929\n<\/code><\/pre>\n
                  \u73b0\u5728:<\/p>\n
                  GitHub MCP:\u5199\u4e00\u6b21(2 \u5929)\n          Claude \/ GPT \/ \u901a\u4e49 \/ Gemini \u5168\u80fd\u7528\n          = 2 \u5929\n<\/code><\/pre>\n
                  \u597d\u5904 2:AI Agent \u771f\u6b63\u53ef\u7528\u4e86<\/h3>\n
                  MCP \u8ba9 Agent \u80fd”\u957f\u51fa\u624b\u811a”:<\/p>\n
                    \n
                  • \u2705 \u8bfb GitHub Issue \u2192 \u81ea\u52a8\u4fee bug<\/li>\n
                  • \u2705 \u67e5\u6570\u636e\u5e93 \u2192 \u81ea\u52a8\u51fa\u62a5\u8868<\/li>\n
                  • \u2705 \u53d1\u90ae\u4ef6 \u2192 \u81ea\u52a8\u8ddf\u8fdb\u5ba2\u6237<\/li>\n
                  • \u2705 \u64cd\u4f5c\u6d4f\u89c8\u5668 \u2192 \u81ea\u52a8\u6d4b\u8bd5<\/li>\n<\/ul>\n
                    2025 \u5e74\u8fd8\u53ea\u662f demo,2026 \u5e74 MCP \u8ba9 Agent \u771f\u6b63\u8fdb\u5165\u751f\u4ea7\u3002<\/strong><\/p>\n
                    \u597d\u5904 3:\u4e2a\u4eba\u5f00\u53d1\u8005\u4e5f\u80fd\u505a MCP<\/h3>\n
                    \u5199\u4e00\u4e2a MCP \u670d\u52a1\u5668 = \u5199\u4e00\u4e2a Node.js \/ Python \u5c0f\u670d\u52a1,\u95e8\u69db\u6781\u4f4e\u3002<\/p>\n
                    \u5df2\u7ecf\u6709\u5f00\u53d1\u8005\u9760\u4e00\u4e2a MCP \u6708\u5165 5 \u4e07<\/strong>(\u5356\u5de5\u5177\u8ba2\u9605)\u3002<\/p>\n
                    \u516d\u3001\u600e\u4e48\u5f00\u59cb\u7528 MCP?<\/h2>\n
                    \u7b2c 1 \u6b65:\u7528\u73b0\u6210\u7684 MCP<\/h3>\n
                    Claude Desktop \/ Cursor \/ Trae \u90fd\u5185\u7f6e\u4e86 MCP \u5e02\u573a,\u76f4\u63a5\u88c5:<\/p>\n
                      \n
                    • GitHub MCP<\/li>\n
                    • Notion MCP<\/li>\n
                    • Slack MCP<\/li>\n
                    • \u6570\u636e\u5e93 MCP<\/li>\n
                    • \u98de\u4e66 MCP<\/li>\n<\/ul>\n
                      \u7b2c 2 \u6b65:\u81ea\u5df1\u5199\u4e00\u4e2a MCP<\/h3>\n
                      # example:\u5929\u6c14 MCP,5 \u884c\u6838\u5fc3\u4ee3\u7801\nfrom mcp.server import Server\n\n\n[IMG: 40-mcp-protocol-anthropic-openai-alibaba-cover.png]\n\nserver = Server(\"weather\")\n\n@server.tool()\nasync def get_weather(city: str) -> str:\n    \"\"\"\u67e5\u8be2\u6307\u5b9a\u57ce\u5e02\u7684\u5929\u6c14\"\"\"\n    # \u8c03\u5929\u6c14 API\n    return f\"{city}:\u6674,25\u00b0C\"\n<\/code><\/pre>\n
                      \u90e8\u7f72\u5230\u4e91\u4e0a \u2192 Claude \/ GPT \u90fd\u80fd\u8c03\u3002<\/p>\n
                      \u7b2c 3 \u6b65:\u5728 Trae \/ Cursor \u91cc\u7528<\/h3>\n
                      \u76f4\u63a5\u5728 IDE \u91cc\u88c5 MCP,AI \u5c31\u80fd\u8c03\u7528\u3002<\/p>\n
                      \u4e03\u3001MCP \u7684\u5c40\u9650(2026 \u5e74\u4e2d)<\/h2>\n
                      1. \u5ef6\u8fdf<\/strong>:\u6bd4 Function Calling \u7565\u6162(\u591a\u4e00\u5c42\u534f\u8bae)<\/p>\n
                      2. \u8c03\u8bd5<\/strong>:\u51fa\u95ee\u9898\u4e0d\u597d\u5b9a\u4f4d<\/p>\n
                      3. \u56fd\u5185\u751f\u6001<\/strong>:\u8fd8\u5728\u8ffd\u8d76,\u6d77\u5916 MCP \u5c45\u591a<\/p>\n
                      4. \u5546\u4e1a\u5316<\/strong>:\u4e2a\u4eba MCP \u8d5a\u94b1\u8def\u5f84\u8fd8\u4e0d\u6e05\u6670<\/p>\n
                      \u4f46\u7455\u4e0d\u63a9\u745c,\u5927\u65b9\u5411\u5df2\u6210\u5b9a\u5c40<\/strong>\u3002<\/p>\n
                      \u516b\u3001\u4e00\u4e2a\u771f\u5b9e\u4f8b\u5b50<\/h2>\n
                      \u6211\u6700\u8fd1\u7528 Trae + GitHub MCP,\u505a\u5230:<\/p>\n
                      \n
                      “\u5e2e\u6211\u770b\u8fd9\u4e2a issue,\u628a\u76f8\u5173\u6587\u4ef6\u6539\u4e86,\u8dd1\u6d4b\u8bd5,\u901a\u8fc7\u540e\u63d0\u4ea4 PR”<\/p>\n<\/blockquote>\n
                      \u4ee5\u524d\u8981 30 \u5206\u949f\u624b\u52a8\u64cd\u4f5c,\u73b0\u5728 5 \u5206\u949f\u81ea\u52a8\u5b8c\u6210\u3002<\/p>\n
                      \u8fd9\u5c31\u662f MCP \u7684\u5a01\u529b\u3002<\/strong><\/p>\n
                      \u7ed3\u8bba<\/h2>\n
                        \n
                      • MCP \u662f 2025-2026 \u5e74 AI \u6700\u91cd\u8981\u7684\u534f\u8bae<\/strong><\/li>\n
                      • \u5927\u5382\u5168\u5728\u62bc\u6ce8,\u751f\u6001\u5df2\u6210\u578b<\/strong><\/li>\n
                      • \u4e2a\u4eba\u5f00\u53d1\u8005\u65e9\u5b66\u65e9\u53d7\u76ca<\/strong><\/li>\n<\/ul>\n
                        \u7ed9\u963f\u4f26\u7684\u884c\u52a8\u5efa\u8bae<\/h2>\n
                        | \u4f60\u60f3\u505a\u4ec0\u4e48 | \u600e\u4e48\u7528 MCP |<\/p>\n
                        |—|—|<\/p>\n
                        | \u4e2a\u4eba\u6548\u7387 | \u88c5\u73b0\u6210 MCP(GitHub \/ Notion \/ \u6570\u636e\u5e93)|<\/p>\n
                        | \u63a5\u5355\u8d5a\u94b1 | \u5199\u4e00\u4e2a\u7ec6\u5206\u5de5\u5177 MCP,\u5356\u8ba2\u9605 |<\/p>\n
                        | \u521b\u4e1a | \u505a MCP \u5e02\u573a(MCP \u7248\u7684 App Store)|<\/p>\n
                        | \u5b66\u4e60 | \u7528 Trae + MCP \u73a9\u8d77\u6765,5 \u5206\u949f\u4e0a\u624b |<\/p>\n
                        MCP \u4e0d\u5b66,2026 \u5e74\u4e0b\u534a\u5e74\u4f1a\u843d\u540e\u3002<\/strong><\/p>\n
                        \u4e0b\u4e00\u7bc7:\u300aAI \u5927\u4e8b 06\/28-07\/02:\u8fd9 5 \u5929\u56fd\u4ea7 AI \u53d1\u751f\u4e86\u4ec0\u4e48\u300b<\/p>\n","protected":false},"excerpt":{"rendered":"
                        \ufeff\ufeff— title: “MCP \u534f\u8bae\u5230\u5e95\u662f\u4ec0\u4e48?\u4e3a\u4ec0\u4e48 Anthropic \/ Ope […]<\/p>\n","protected":false},"author":2,"featured_media":1061,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[43],"tags":[],"class_list":["post-834","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-video"],"jetpack_featured_media_url":"https:\/\/www.eshowai.com\/wp-content\/uploads\/2026\/07\/40-mcp-protocol-anthropic-openai-alibaba-cover-1.png","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.eshowai.com\/index.php\/wp-json\/wp\/v2\/posts\/834","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.eshowai.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.eshowai.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.eshowai.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.eshowai.com\/index.php\/wp-json\/wp\/v2\/comments?post=834"}],"version-history":[{"count":4,"href":"https:\/\/www.eshowai.com\/index.php\/wp-json\/wp\/v2\/posts\/834\/revisions"}],"predecessor-version":[{"id":1090,"href":"https:\/\/www.eshowai.com\/index.php\/wp-json\/wp\/v2\/posts\/834\/revisions\/1090"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.eshowai.com\/index.php\/wp-json\/wp\/v2\/media\/1061"}],"wp:attachment":[{"href":"https:\/\/www.eshowai.com\/index.php\/wp-json\/wp\/v2\/media?parent=834"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.eshowai.com\/index.php\/wp-json\/wp\/v2\/categories?post=834"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.eshowai.com\/index.php\/wp-json\/wp\/v2\/tags?post=834"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}