{"id":8642,"date":"2025-04-18T16:52:39","date_gmt":"2025-04-18T08:52:39","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/8642.html"},"modified":"2025-04-18T16:52:39","modified_gmt":"2025-04-18T08:52:39","slug":"%e4%bb%8e%e9%9b%b6%e5%bc%80%e5%a7%8b%e6%9e%84%e5%bb%ba-ollama-mcp-%e6%9c%8d%e5%8a%a1%e5%99%a8","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/8642.html","title":{"rendered":"\u4ece\u96f6\u5f00\u59cb\u6784\u5efa Ollama + MCP \u670d\u52a1\u5668"},"content":{"rendered":"

Model Context Protocol（\u6a21\u578b\u4e0a\u4e0b\u6587\u534f\u8bae）\u5728\u8fc7\u53bb\u51e0\u4e2a\u6708\u91cc\u5df2\u7ecf\u9738\u5360\u4e86\u5927\u5bb6\u7684\u89c6\u91ce，\u51fa\u73b0\u4e86\u8bb8\u591a\u9177\u70ab\u7684\u96c6\u6210\u793a\u4f8b\u3002\u6211\u575a\u4fe1\u5b83\u4f1a\u6210\u4e3a\u4e00\u79cd\u6807\u51c6，\u56e0\u4e3a\u5b83\u6b63\u5728\u5b9a\u4e49\u5de5\u5177\u4e0e\u4ee3\u7406\u6216\u8f6f\u4ef6\u4e0e AI \u6a21\u578b\u4e4b\u95f4\u5982\u4f55\u96c6\u6210\u7684\u65b0\u65b9\u5f0f\u3002<\/p>\n

\u6211\u51b3\u5b9a\u5c1d\u8bd5\u5c06 Ollama \u4e2d\u7684\u4e00\u4e2a\u5c0f\u578b LLM \u8fde\u63a5\u5230\u4e00\u4e2a MCP \u670d\u52a1\u5668\u4e0a，\u611f\u53d7\u4e00\u4e0b\u8fd9\u4e2a\u65b0\u6807\u51c6\u7684\u9b45\u529b\u3002\u4eca\u5929，\u6211\u60f3\u5411\u5927\u5bb6\u5c55\u793a\u4e00\u79cd\u5c06 Ollama \u4e0e MCP \u670d\u52a1\u5668\u96c6\u6210\u7684\u53ef\u80fd\u5b9e\u73b0\u65b9\u5f0f\u3002 \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

\u9b54\u6cd5\u914d\u65b9<\/h3>\n

\u96c6\u6210\u7684\u4e3b\u8981\u6b65\u9aa4\u5982\u4e0b：<\/p>\n

  • \u521b\u5efa\u4e00\u4e2a\u6d4b\u8bd5\u7528\u7684 MCP \u670d\u52a1\u5668\u3002<\/li>\n
  • \u521b\u5efa\u4e00\u4e2a\u5ba2\u6237\u7aef\u6587\u4ef6，\u7528\u4e8e\u53d1\u9001\u8bf7\u6c42\u5e76\u542f\u52a8\u670d\u52a1\u5668\u3002<\/li>\n
  • \u5c06\u670d\u52a1\u5668\u7684\u5de5\u5177\u83b7\u53d6\u5230\u5ba2\u6237\u7aef\u3002<\/li>\n
  • \u5c06\u5de5\u5177\u8f6c\u6362\u4e3a Pydantic \u6a21\u578b\u3002<\/li>\n
  • \u901a\u8fc7\u54cd\u5e94\u7684 format \u5b57\u6bb5\u5c06\u5de5\u5177（\u4f5c\u4e3a Pydantic \u6a21\u578b）\u4f20\u9012\u7ed9 Ollama\u3002<\/li>\n
  • \u901a\u8fc7 Ollama \u53d1\u9001\u5bf9\u8bdd\u5e76\u63a5\u6536\u7ed3\u6784\u5316\u8f93\u51fa\u3002<\/li>\n
  • \u5982\u679c\u54cd\u5e94\u4e2d\u5305\u542b\u5de5\u5177，\u5219\u5411\u670d\u52a1\u5668\u53d1\u8d77\u8bf7\u6c42\u3002<\/li>\n

    \u5b89\u88c5\u4f9d\u8d56<\/h3>\n

    \u8981\u8fd0\u884c\u8fd9\u4e2a\u9879\u76ee，\u9700\u8981\u5b89\u88c5\u6240\u9700\u7684\u5305\u3002fastmcp \u5e93\u5728\u4f7f\u7528 uv \u8fd0\u884c\u4ee3\u7801\u65f6\u8868\u73b0\u6700\u4f73\u3002\u5b83\u50cf Poetry \u548c pip \u4e00\u6837，\u4e0b\u8f7d\u65b9\u4fbf，\u4f7f\u7528\u7b80\u5355\u3002<\/p>\n

    \u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u5c06\u6240\u9700\u7684\u5e93\u6dfb\u52a0\u5230\u9879\u76ee\u4e2d：<\/p>\n

    uv add<\/span> fastmcp ollama<\/p>\n

    \u8fd9\u5c06\u5b89\u88c5 MCP \u670d\u52a1\u5668\u548c Ollama \u804a\u5929\u5e93，\u4f60\u53ef\u4ee5\u5728\u6b64\u57fa\u7840\u4e0a\u6784\u5efa\u5ba2\u6237\u7aef\u548c\u670d\u52a1\u5668\u903b\u8f91\u3002<\/p>\n

    \u6587\u4ef6\u7ed3\u6784<\/h3>\n

    \u8bbe\u7f6e\u5b8c\u6210\u540e，\u4f60\u7684\u6587\u4ef6\u5939\u7ed3\u6784\u5e94\u8be5\u5982\u4e0b\u6240\u793a：<\/p>\n

    your folder
    \n\u251c\u2500\u2500 server.py
    \n\u2514\u2500\u2500 client.py<\/p>\n

    server.py \u6587\u4ef6\u5305\u542b MCP \u670d\u52a1\u5668\u548c\u4f60\u60f3\u8981\u66b4\u9732\u7684\u5de5\u5177\u3002client.py \u6587\u4ef6\u5728\u540e\u53f0\u8fdb\u7a0b\u542f\u52a8\u670d\u52a1\u5668，\u83b7\u53d6\u53ef\u7528\u5de5\u5177，\u5e76\u4e0e Ollama \u8fde\u63a5\u3002<\/p>\n

    \u793a\u4f8b MCP \u670d\u52a1\u5668<\/h3>\n

    \u8ba9\u6211\u4eec\u4ece\u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u7684 MCP \u670d\u52a1\u5668\u5f00\u59cb，\u4f7f\u7528 fastmcp \u5e93\u3002\u670d\u52a1\u5668\u66b4\u9732\u4e86\u4e00\u4e2a\u540d\u4e3a magicoutput \u7684\u5de5\u5177\u3002\u8be5\u51fd\u6570\u63a5\u53d7\u4e24\u4e2a\u5b57\u7b26\u4e32\u8f93\u5165，\u5e76\u8fd4\u56de\u4e00\u4e2a\u56fa\u5b9a\u7684\u5b57\u7b26\u4e32\u4f5c\u4e3a\u8f93\u51fa\u3002<\/p>\n

    \u4f7f\u7528 @mcp.tool() \u88c5\u9970\u5668\u5c06\u51fd\u6570\u6ce8\u518c\u4e3a MCP \u670d\u52a1\u5668\u4e2d\u7684\u53ef\u7528\u5de5\u5177\u3002\u670d\u52a1\u5668\u542f\u52a8\u540e，\u4efb\u4f55\u5ba2\u6237\u7aef\u90fd\u53ef\u4ee5\u83b7\u53d6\u5e76\u8c03\u7528\u8fd9\u4e2a\u5de5\u5177\u3002<\/p>\n

    \u901a\u8fc7\u5728\u4e3b\u5757\u4e2d\u8c03\u7528 mcp.run() \u542f\u52a8\u670d\u52a1\u5668\u3002<\/p>\n

    # server.py<\/span>
    \nfrom<\/span> fastmcp import<\/span> FastMCP
    \n# \u521b\u5efa\u4e00\u4e2a MCP \u670d\u52a1\u5668<\/span>
    \nmcp =<\/span> FastMCP(<\/span>"TestServer"<\/span>)<\/span>
    \n# \u6211\u7684\u5de5\u5177：<\/span>
    \n@mcp.<\/span>tool<\/span>(<\/span>)<\/span>
    \ndef<\/span> magicoutput<\/span>(<\/span>obj1:<\/span> str<\/span>,<\/span> obj2:<\/span> str<\/span>)<\/span> –<\/span>><\/span> int<\/span>:<\/span>
    \n """\u4f7f\u7528\u8fd9\u4e2a\u51fd\u6570\u6765\u83b7\u53d6\u795e\u5947\u7684\u8f93\u51fa"""<\/span>
    \n return<\/span> "WomboWombat"<\/span>
    \nif<\/span> __name__ ==<\/span> "__main__"<\/span>:<\/span>
    \n mcp.<\/span>run(<\/span>)<\/span><\/p>\n

    \u83b7\u53d6\u670d\u52a1\u5668\u5de5\u5177<\/h3>\n

    \u4e3a\u4e86\u8fde\u63a5\u5230 MCP \u670d\u52a1\u5668\u5e76\u5217\u51fa\u53ef\u7528\u5de5\u5177，\u6211\u4eec\u4f7f\u7528 ClientSession\u3001StdioServerParameters \u548c stdio_client，\u5b83\u4eec\u90fd\u6765\u81ea mcp \u5e93\u3002<\/p>\n

    \u6211\u4eec\u5b9a\u4e49\u4e86\u4e00\u4e2a\u540d\u4e3a OllamaMCP \u7684\u7c7b，\u7528\u4e8e\u5904\u7406\u670d\u52a1\u5668\u8fde\u63a5\u548c\u5de5\u5177\u83b7\u53d6\u3002\u5728\u7c7b\u4e2d，_async_run \u65b9\u6cd5\u542f\u52a8\u4e00\u4e2a\u5f02\u6b65\u4f1a\u8bdd，\u521d\u59cb\u5316\u5b83，\u5e76\u4ece\u670d\u52a1\u5668\u83b7\u53d6\u5de5\u5177\u5217\u8868\u3002<\/p>\n

    \u6211\u4eec\u4f7f\u7528 threading.Event() \u6765\u8ddf\u8e2a\u4f1a\u8bdd\u4f55\u65f6\u51c6\u5907\u5c31\u7eea，\u5e76\u5c06\u5de5\u5177\u5217\u8868\u5b58\u50a8\u5728 self.tools \u4e2d\u3002<\/p>\n

    \u5728\u811a\u672c\u7684\u672b\u5c3e，\u6211\u4eec\u5b9a\u4e49\u4e86\u670d\u52a1\u5668\u53c2\u6570，\u5e76\u5728\u540e\u53f0\u7ebf\u7a0b\u4e2d\u8fd0\u884c\u5ba2\u6237\u7aef\u3002\u8fd9\u5c06\u542f\u52a8\u8fde\u63a5\u5e76\u6253\u5370\u670d\u52a1\u5668\u8fd4\u56de\u7684\u5de5\u5177\u5143\u6570\u636e\u3002<\/p>\n

    # client.py<\/span>
    \nimport<\/span> asyncio
    \nimport<\/span> threading
    \nfrom<\/span> pathlib import<\/span> Path
    \nfrom<\/span> mcp import<\/span> ClientSession,<\/span> StdioServerParameters
    \nfrom<\/span> mcp.<\/span>client.<\/span>stdio import<\/span> stdio_client
    \nfrom<\/span> typing import<\/span> Any<\/p>\n

    class<\/span> OllamaMCP<\/span>:<\/span>
    \n """
    \n Ollama \u548c FastMCP \u4e4b\u95f4\u7684\u7b80\u5355\u96c6\u6210
    \n """<\/span>
    \n def<\/span> __init__<\/span>(<\/span>self,<\/span> server_params:<\/span> StdioServerParameters)<\/span>:<\/span>
    \n self.<\/span>server_params =<\/span> server_params
    \n self.<\/span>initialized =<\/span> threading.<\/span>Event(<\/span>)<\/span>
    \n self.<\/span>tools:<\/span> list<\/span>[<\/span>Any]<\/span> =<\/span> [<\/span>]<\/span>
    \n def<\/span> _run_background<\/span>(<\/span>self)<\/span>:<\/span>
    \n asyncio.<\/span>run(<\/span>self.<\/span>_async_run(<\/span>)<\/span>)<\/span>
    \n async<\/span> def<\/span> _async_run<\/span>(<\/span>self)<\/span>:<\/span>
    \n try<\/span>:<\/span>
    \n async<\/span> with<\/span> stdio_client(<\/span>self.<\/span>server_params)<\/span> as<\/span> (<\/span>read,<\/span> write)<\/span>:<\/span>
    \n async<\/span> with<\/span> ClientSession(<\/span>read,<\/span> write)<\/span> as<\/span> session:<\/span>
    \n await<\/span> session.<\/span>initialize(<\/span>)<\/span>
    \n self.<\/span>session =<\/span> session
    \n tools_result =<\/span> await<\/span> session.<\/span>list_tools(<\/span>)<\/span>
    \n self.<\/span>tools =<\/span> tools_result.<\/span>tools
    \n print<\/span>(<\/span>tools_result)<\/span>
    \n except<\/span> Exception as<\/span> e:<\/span>
    \n print<\/span>(<\/span>f"\u521d\u59cb\u5316 MCP \u670d\u52a1\u5668\u65f6\u51fa\u9519 <\/span>{<\/span>str<\/span>(<\/span>e)<\/span>}<\/span><\/span>"<\/span><\/span>)<\/span>
    \nif<\/span> __name__ ==<\/span> "__main__"<\/span>:<\/span>
    \n server_parameters =<\/span> StdioServerParameters(<\/span>
    \n command=<\/span>"uv"<\/span>,<\/span>
    \n args=<\/span>[<\/span>"run"<\/span>,<\/span> "python"<\/span>,<\/span> "server.py"<\/span>]<\/span>,<\/span>
    \n cwd=<\/span>str<\/span>(<\/span>Path.<\/span>cwd(<\/span>)<\/span>)<\/span>
    \n )<\/span>
    \n ollamamcp =<\/span> OllamaMCP(<\/span>server_params=<\/span>server_parameters)<\/span>
    \n ollamamcp.<\/span>_run_background(<\/span>)<\/span><\/p>\n

    \u8fd0\u884c\u4e0a\u8ff0\u4ee3\u7801\u540e，\u4f60\u4f1a\u4ece\u670d\u52a1\u5668\u6536\u5230\u4ee5\u4e0b\u54cd\u5e94，\u5176\u4e2d\u53ef\u4ee5\u770b\u5230\u670d\u52a1\u5668\u4e0a\u53ef\u7528\u7684\u5de5\u5177\u5217\u8868\u3002<\/p>\n

    [<\/span>04<\/span>\/<\/span>14<\/span>\/<\/span>25<\/span> 22<\/span>:<\/span>29<\/span>:<\/span>08<\/span>]<\/span> INFO \u6b63\u5728\u542f\u52a8\u670d\u52a1\u5668 "TestServer"<\/span>.<\/span>.<\/span>.<\/span> server.<\/span>py:<\/span>171<\/span>
    \n INFO \u6b63\u5728\u5904\u7406\u8bf7\u6c42\u7c7b\u578b server.<\/span>py:<\/span>534<\/span>
    \n ListToolsRequest
    \nmeta=<\/span>None<\/span> nextCursor=<\/span>None<\/span> tools=<\/span>[<\/span>Tool(<\/span>name=<\/span>'magicoutput'<\/span>,<\/span> description=<\/span>'\u4f7f\u7528\u8fd9\u4e2a\u51fd\u6570\u6765\u83b7\u53d6\u795e\u5947\u7684\u8f93\u51fa'<\/span>,<\/span> inputSchema=<\/span>{<\/span>'properties'<\/span>:<\/span> {<\/span>'obj1'<\/span>:<\/span> {<\/span>'title'<\/span>:<\/span> 'Obj1'<\/span>,<\/span> 'type'<\/span>:<\/span> 'string'<\/span>}<\/span>,<\/span> 'obj2'<\/span>:<\/span> {<\/span>'title'<\/span>:<\/span> 'Obj2'<\/span>,<\/span> 'type'<\/span>:<\/span> 'string'<\/span>}<\/span>}<\/span>,<\/span> 'required'<\/span>:<\/span> [<\/span>'obj1'<\/span>,<\/span> 'obj2'<\/span>]<\/span>,<\/span> 'title'<\/span>:<\/span> 'magicoutputArguments'<\/span>,<\/span> 'type'<\/span>:<\/span> 'object'<\/span>}<\/span>)<\/span>]<\/span><\/p>\n

    \u5c06\u5de5\u5177\u8f6c\u6362\u4e3a Pydantic \u6a21\u578b<\/h3>\n

    \u73b0\u5728\u6211\u4eec\u5df2\u7ecf\u4ece\u670d\u52a1\u5668\u83b7\u53d6\u4e86\u5de5\u5177\u5217\u8868，\u4e0b\u4e00\u6b65\u662f\u5c06\u5b83\u4eec\u8f6c\u6362\u4e3a Pydantic \u6a21\u578b\u3002\u6211\u4eec\u4f7f\u7528 Pydantic \u7684 create_model \u52a8\u6001\u5b9a\u4e49\u4e00\u4e2a\u65b0\u7684\u54cd\u5e94\u6a21\u5f0f，\u57fa\u4e8e\u670d\u52a1\u5668\u7684\u5de5\u5177\u5b9a\u4e49\u3002\u8fd8\u6709\u4e00\u4e2a\u8f85\u52a9\u51fd\u6570，\u7528\u4e8e\u5c06 JSON \u7c7b\u578b\u6620\u5c04\u4e3a\u6709\u6548\u7684 Python \u7c7b\u578b\u3002<\/p>\n

    \u8fd9\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u52a8\u6001\u5b9a\u4e49\u6a21\u578b，\u4ee5\u4fbf LLM \u7cbe\u786e\u5730\u77e5\u9053\u5728\u8fd4\u56de\u5de5\u5177\u53c2\u6570\u65f6\u5e94\u4f7f\u7528\u4ec0\u4e48\u7ed3\u6784\u3002<\/p>\n

    # client.py<\/span>
    \nimport<\/span> asyncio
    \nimport<\/span> threading
    \nfrom<\/span> pathlib import<\/span> Path
    \nfrom<\/span> mcp import<\/span> ClientSession,<\/span> StdioServerParameters
    \nfrom<\/span> mcp.<\/span>client.<\/span>stdio import<\/span> stdio_client
    \nfrom<\/span> typing import<\/span> Any,<\/span> Union,<\/span> Optional
    \nfrom<\/span> pydantic import<\/span> BaseModel,<\/span> create_model,<\/span> Field<\/p>\n

    class<\/span> OllamaMCP<\/span>:<\/span>
    \n """Ollama \u548c FastMCP \u4e4b\u95f4\u7684\u7b80\u5355\u96c6\u6210"""<\/span><\/p>\n

    def<\/span> __init__<\/span>(<\/span>self,<\/span> server_params:<\/span> StdioServerParameters)<\/span>:<\/span>
    \n self.<\/span>server_params =<\/span> server_params
    \n self.<\/span>initialized =<\/span> threading.<\/span>Event(<\/span>)<\/span>
    \n self.<\/span>tools:<\/span> list<\/span>[<\/span>Any]<\/span> =<\/span> [<\/span>]<\/span><\/p>\n

    def<\/span> _run_background<\/span>(<\/span>self)<\/span>:<\/span>
    \n asyncio.<\/span>run(<\/span>self.<\/span>_async_run(<\/span>)<\/span>)<\/span><\/p>\n

    async<\/span> def<\/span> _async_run<\/span>(<\/span>self)<\/span>:<\/span>
    \n try<\/span>:<\/span>
    \n async<\/span> with<\/span> stdio_client(<\/span>self.<\/span>server_params)<\/span> as<\/span> (<\/span>read,<\/span> write)<\/span>:<\/span>
    \n async<\/span> with<\/span> ClientSession(<\/span>read,<\/span> write)<\/span> as<\/span> session:<\/span>
    \n await<\/span> session.<\/span>initialize(<\/span>)<\/span>
    \n self.<\/span>session =<\/span> session
    \n tools_result =<\/span> await<\/span> session.<\/span>list_tools(<\/span>)<\/span>
    \n self.<\/span>tools =<\/span> tools_result.<\/span>tools
    \n except<\/span> Exception as<\/span> e:<\/span>
    \n print<\/span>(<\/span>f"\u521d\u59cb\u5316 MCP \u670d\u52a1\u5668\u65f6\u51fa\u9519 <\/span>{<\/span>str<\/span>(<\/span>e)<\/span>}<\/span><\/span>"<\/span><\/span>)<\/span><\/p>\n

    def<\/span> create_response_model<\/span>(<\/span>self)<\/span>:<\/span>
    \n dynamic_classes =<\/span> {<\/span>}<\/span>
    \n for<\/span> tool in<\/span> self.<\/span>tools:<\/span>
    \n class_name =<\/span> tool.<\/span>name.<\/span>capitalize(<\/span>)<\/span>
    \n properties =<\/span> {<\/span>}<\/span>
    \n for<\/span> prop_name,<\/span> prop_info in<\/span> tool.<\/span>inputSchema.<\/span>get(<\/span>"properties"<\/span>,<\/span> {<\/span>}<\/span>)<\/span>.<\/span>items(<\/span>)<\/span>:<\/span>
    \n json_type =<\/span> prop_info.<\/span>get(<\/span>"type"<\/span>,<\/span> "string"<\/span>)<\/span>
    \n properties[<\/span>prop_name]<\/span> =<\/span> self.<\/span>convert_json_type_to_python_type(<\/span>json_type)<\/span><\/p>\n

    model =<\/span> create_model(<\/span>
    \n class_name,<\/span>
    \n __base__=<\/span>BaseModel,<\/span>
    \n __doc__=<\/span>tool.<\/span>description,<\/span>
    \n **<\/span>properties,<\/span>
    \n )<\/span>
    \n dynamic_classes[<\/span>class_name]<\/span> =<\/span> model<\/p>\n

    if<\/span> dynamic_classes:<\/span>
    \n all_tools_type =<\/span> Union[<\/span>tuple<\/span>(<\/span>dynamic_classes.<\/span>values(<\/span>)<\/span>)<\/span>]<\/span>
    \n Response =<\/span> create_model(<\/span>
    \n "Response"<\/span>,<\/span>
    \n __base__=<\/span>BaseModel,<\/span>
    \n __doc__=<\/span>"LLm \u54cd\u5e94\u7c7b"<\/span>,<\/span>
    \n response=<\/span>(<\/span>str<\/span>,<\/span> Field(<\/span>.<\/span>.<\/span>.<\/span>,<\/span> description=<\/span> "\u786e\u8ba4\u5c06\u8c03\u7528\u8be5\u51fd\u6570\u7684\u6d88\u606f"<\/span>)<\/span>)<\/span>,<\/span>
    \n tool=<\/span>(<\/span>all_tools_type,<\/span> Field(<\/span>
    \n .<\/span>.<\/span>.<\/span>,<\/span>
    \n description=<\/span>"\u7528\u4e8e\u8fd0\u884c\u5e76\u83b7\u53d6\u795e\u5947\u8f93\u51fa\u7684\u5de5\u5177"<\/span>
    \n )<\/span>)<\/span>,<\/span>
    \n )<\/span>
    \n else<\/span>:<\/span>
    \n Response =<\/span> create_model(<\/span>
    \n "Response"<\/span>,<\/span>
    \n __base__=<\/span>BaseModel,<\/span>
    \n __doc__=<\/span>"LLm \u54cd\u5e94\u7c7b"<\/span>,<\/span>
    \n response=<\/span>(<\/span>str<\/span>,<\/span> .<\/span>.<\/span>.<\/span>)<\/span>,<\/span>
    \n tool=<\/span>(<\/span>Optional[<\/span>Any]<\/span>,<\/span> Field(<\/span>None<\/span>,<\/span> description=<\/span>"\u5982\u679c\u4e0d\u8fd4\u56de None，\u5219\u4f7f\u7528\u6b64\u5de5\u5177"<\/span>)<\/span>)<\/span>,<\/span>
    \n )<\/span><\/p>\n

    self.<\/span>response_model =<\/span> Response
    \n print<\/span>(<\/span>Response.<\/span>model_fields)<\/span><\/p>\n

    @staticmethod<\/span>
    \n def<\/span> convert_json_type_to_python_type<\/span>(<\/span>json_type:<\/span> str<\/span>)<\/span>:<\/span>
    \n """\u5c06 JSON \u7c7b\u578b\u7b80\u5355\u6620\u5c04\u4e3a Python（Pydantic）\u7c7b\u578b"""<\/span>
    \n if<\/span> json_type ==<\/span> "integer"<\/span>:<\/span>
    \n return<\/span> (<\/span>int<\/span>,<\/span> .<\/span>.<\/span>.<\/span>)<\/span>
    \n if<\/span> json_type ==<\/span> "number"<\/span>:<\/span>
    \n return<\/span> (<\/span>float<\/span>,<\/span> .<\/span>.<\/span>.<\/span>)<\/span>
    \n if<\/span> json_type ==<\/span> "string"<\/span>:<\/span>
    \n return<\/span> (<\/span>str<\/span>,<\/span> .<\/span>.<\/span>.<\/span>)<\/span>
    \n if<\/span> json_type ==<\/span> "boolean"<\/span>:<\/span>
    \n return<\/span> (<\/span>bool<\/span>,<\/span> .<\/span>.<\/span>.<\/span>)<\/span>
    \n return<\/span> (<\/span>str<\/span>,<\/span> .<\/span>.<\/span>.<\/span>)<\/span><\/p>\n

    # \u4ece\u96f6\u5f00\u59cb\u6784\u5efa Ollama + MCP \u670d\u52a1\u5668<\/span><\/p>\n

    Model Context Protocol（\u6a21\u578b\u4e0a\u4e0b\u6587\u534f\u8bae）\u5728\u8fc7\u53bb\u51e0\u4e2a\u6708\u91cc\u5df2\u7ecf\u9738\u5360\u4e86\u5927\u5bb6\u7684\u89c6\u91ce，\u51fa\u73b0\u4e86\u8bb8\u591a\u9177\u70ab\u7684\u96c6\u6210\u793a\u4f8b\u3002\u6211\u575a\u4fe1\u5b83\u4f1a\u6210\u4e3a\u4e00\u79cd\u6807\u51c6，\u56e0\u4e3a\u5b83\u6b63\u5728\u5b9a\u4e49\u5de5\u5177\u4e0e\u4ee3\u7406\u6216\u8f6f\u4ef6\u4e0e AI \u6a21\u578b\u4e4b\u95f4\u5982\u4f55\u96c6\u6210\u7684\u65b0\u65b9\u5f0f\u3002<\/p>\n

    \u65e2\u7136\u6211\u6700\u559c\u6b22\u5199\u7684\u662f\u5c0f\u578b\u8bed\u8a00\u6a21\u578b（LLMs），\u6211\u51b3\u5b9a\u5c1d\u8bd5\u5c06 Ollama \u4e2d\u7684\u4e00\u4e2a\u5c0f\u578b LLM \u8fde\u63a5\u5230\u4e00\u4e2a MCP \u670d\u52a1\u5668\u4e0a，\u611f\u53d7\u4e00\u4e0b\u8fd9\u4e2a\u65b0\u6807\u51c6\u7684\u9b45\u529b\u3002\u4eca\u5929，\u6211\u60f3\u5411\u5927\u5bb6\u5c55\u793a\u4e00\u79cd\u5c06 Ollama \u4e0e MCP \u670d\u52a1\u5668\u96c6\u6210\u7684\u53ef\u80fd\u5b9e\u73b0\u65b9\u5f0f\u3002<\/p>\n

    ## \u9b54\u6cd5\u914d\u65b9<\/span><\/p>\n

    \u96c6\u6210\u7684\u4e3b\u8981\u6b65\u9aa4\u5982\u4e0b：<\/p>\n

    1<\/span>.<\/span> \u521b\u5efa\u4e00\u4e2a\u6d4b\u8bd5\u7528\u7684 MCP \u670d\u52a1\u5668\u3002
    \n2<\/span>.<\/span> \u521b\u5efa\u4e00\u4e2a\u5ba2\u6237\u7aef\u6587\u4ef6，\u7528\u4e8e\u53d1\u9001\u8bf7\u6c42\u5e76\u542f\u52a8\u670d\u52a1\u5668\u3002
    \n3<\/span>.<\/span> \u5c06\u670d\u52a1\u5668\u7684\u5de5\u5177\u83b7\u53d6\u5230\u5ba2\u6237\u7aef\u3002
    \n4<\/span>.<\/span> \u5c06\u5de5\u5177\u8f6c\u6362\u4e3a Pydantic \u6a21\u578b\u3002
    \n5<\/span>.<\/span> \u901a\u8fc7\u54cd\u5e94\u7684 `format<\/span>` \u5b57\u6bb5\u5c06\u5de5\u5177（\u4f5c\u4e3a Pydantic \u6a21\u578b）\u4f20\u9012\u7ed9 Ollama\u3002
    \n6<\/span>.<\/span> \u901a\u8fc7 Ollama \u53d1\u9001\u5bf9\u8bdd\u5e76\u63a5\u6536\u7ed3\u6784\u5316\u8f93\u51fa\u3002
    \n7<\/span>.<\/span> \u5982\u679c\u54cd\u5e94\u4e2d\u5305\u542b\u5de5\u5177，\u5219\u5411\u670d\u52a1\u5668\u53d1\u8d77\u8bf7\u6c42\u3002<\/p>\n

    ## \u5b89\u88c5\u4f9d\u8d56<\/span><\/p>\n

    \u8981\u8fd0\u884c\u8fd9\u4e2a\u9879\u76ee，\u9700\u8981\u5b89\u88c5\u6240\u9700\u7684\u5305\u3002`fastmcp` \u5e93\u5728\u4f7f\u7528 `uv` \u8fd0\u884c\u4ee3\u7801\u65f6\u8868\u73b0\u6700\u4f73\u3002\u5b83\u50cf Poetry \u548c pip \u4e00\u6837，\u4e0b\u8f7d\u65b9\u4fbf，\u4f7f\u7528\u7b80\u5355\u3002<\/p>\n

    \u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u5c06\u6240\u9700\u7684\u5e93\u6dfb\u52a0\u5230\u9879\u76ee\u4e2d：<\/p>\n

    ```csharp
    \nuv add fastmcp ollama<\/p>\n

    \u8fd9\u5c06\u5b89\u88c5 MCP \u670d\u52a1\u5668\u548c Ollama \u804a\u5929\u5e93，\u4f60\u53ef\u4ee5\u5728\u6b64\u57fa\u7840\u4e0a\u6784\u5efa\u5ba2\u6237\u7aef\u548c\u670d\u52a1\u5668\u903b\u8f91\u3002<\/p>\n

    \u6587\u4ef6\u7ed3\u6784<\/h3>\n

    \u8bbe\u7f6e\u5b8c\u6210\u540e，\u4f60\u7684\u6587\u4ef6\u5939\u7ed3\u6784\u5e94\u8be5\u5982\u4e0b\u6240\u793a：<\/p>\n

    your folder
    \n\u251c\u2500\u2500 server.py
    \n\u2514\u2500\u2500 client.py<\/p>\n

    server.py \u6587\u4ef6\u5305\u542b MCP \u670d\u52a1\u5668\u548c\u4f60\u60f3\u8981\u66b4\u9732\u7684\u5de5\u5177\u3002client.py \u6587\u4ef6\u5728\u540e\u53f0\u8fdb\u7a0b\u542f\u52a8\u670d\u52a1\u5668，\u83b7\u53d6\u53ef\u7528\u5de5\u5177，\u5e76\u4e0e Ollama \u8fde\u63a5\u3002<\/p>\n

    \u793a\u4f8b MCP \u670d\u52a1\u5668<\/h3>\n

    \u8ba9\u6211\u4eec\u4ece\u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u7684 MCP \u670d\u52a1\u5668\u5f00\u59cb，\u4f7f\u7528 fastmcp \u5e93\u3002\u670d\u52a1\u5668\u66b4\u9732\u4e86\u4e00\u4e2a\u540d\u4e3a magicoutput \u7684\u5de5\u5177\u3002\u8be5\u51fd\u6570\u63a5\u53d7\u4e24\u4e2a\u5b57\u7b26\u4e32\u8f93\u5165，\u5e76\u8fd4\u56de\u4e00\u4e2a\u56fa\u5b9a\u7684\u5b57\u7b26\u4e32\u4f5c\u4e3a\u8f93\u51fa\u3002<\/p>\n

    \u4f7f\u7528 @mcp.tool() \u88c5\u9970\u5668\u5c06\u51fd\u6570\u6ce8\u518c\u4e3a MCP \u670d\u52a1\u5668\u4e2d\u7684\u53ef\u7528\u5de5\u5177\u3002\u670d\u52a1\u5668\u542f\u52a8\u540e，\u4efb\u4f55\u5ba2\u6237\u7aef\u90fd\u53ef\u4ee5\u83b7\u53d6\u5e76\u8c03\u7528\u8fd9\u4e2a\u5de5\u5177\u3002<\/p>\n

    \u901a\u8fc7\u5728\u4e3b\u5757\u4e2d\u8c03\u7528 mcp.run() \u542f\u52a8\u670d\u52a1\u5668\u3002<\/p>\n

    # server.py<\/span>
    \nfrom<\/span> fastmcp import<\/span> FastMCP
    \n# \u521b\u5efa\u4e00\u4e2a MCP \u670d\u52a1\u5668<\/span>
    \nmcp =<\/span> FastMCP(<\/span>"TestServer"<\/span>)<\/span>
    \n# \u6211\u7684\u5de5\u5177：<\/span>
    \n@mcp.<\/span>tool<\/span>(<\/span>)<\/span>
    \ndef<\/span> magicoutput<\/span>(<\/span>obj1:<\/span> str<\/span>,<\/span> obj2:<\/span> str<\/span>)<\/span> –<\/span>><\/span> int<\/span>:<\/span>
    \n """\u4f7f\u7528\u8fd9\u4e2a\u51fd\u6570\u6765\u83b7\u53d6\u795e\u5947\u7684\u8f93\u51fa"""<\/span>
    \n return<\/span> "WomboWombat"<\/span>
    \nif<\/span> __name__ ==<\/span> "__main__"<\/span>:<\/span>
    \n mcp.<\/span>run(<\/span>)<\/span><\/p>\n

    \u83b7\u53d6\u670d\u52a1\u5668\u5de5\u5177<\/h3>\n

    \u4e3a\u4e86\u8fde\u63a5\u5230 MCP \u670d\u52a1\u5668\u5e76\u5217\u51fa\u53ef\u7528\u5de5\u5177，\u6211\u4eec\u4f7f\u7528 ClientSession\u3001StdioServerParameters \u548c stdio_client，\u5b83\u4eec\u90fd\u6765\u81ea mcp \u5e93\u3002<\/p>\n

    \u6211\u4eec\u5b9a\u4e49\u4e86\u4e00\u4e2a\u540d\u4e3a OllamaMCP \u7684\u7c7b，\u7528\u4e8e\u5904\u7406\u670d\u52a1\u5668\u8fde\u63a5\u548c\u5de5\u5177\u83b7\u53d6\u3002\u5728\u7c7b\u4e2d，_async_run \u65b9\u6cd5\u542f\u52a8\u4e00\u4e2a\u5f02\u6b65\u4f1a\u8bdd，\u521d\u59cb\u5316\u5b83，\u5e76\u4ece\u670d\u52a1\u5668\u83b7\u53d6\u5de5\u5177\u5217\u8868\u3002<\/p>\n

    \u6211\u4eec\u4f7f\u7528 threading.Event() \u6765\u8ddf\u8e2a\u4f1a\u8bdd\u4f55\u65f6\u51c6\u5907\u5c31\u7eea，\u5e76\u5c06\u5de5\u5177\u5217\u8868\u5b58\u50a8\u5728 self.tools \u4e2d\u3002<\/p>\n

    \u5728\u811a\u672c\u7684\u672b\u5c3e，\u6211\u4eec\u5b9a\u4e49\u4e86\u670d\u52a1\u5668\u53c2\u6570，\u5e76\u5728\u540e\u53f0\u7ebf\u7a0b\u4e2d\u8fd0\u884c\u5ba2\u6237\u7aef\u3002\u8fd9\u5c06\u542f\u52a8\u8fde\u63a5\u5e76\u6253\u5370\u670d\u52a1\u5668\u8fd4\u56de\u7684\u5de5\u5177\u5143\u6570\u636e\u3002<\/p>\n

    # client.py<\/span>
    \nimport<\/span> asyncio
    \nimport<\/span> threading
    \nfrom<\/span> pathlib import<\/span> Path
    \nfrom<\/span> mcp import<\/span> ClientSession,<\/span> StdioServerParameters
    \nfrom<\/span> mcp.<\/span>client.<\/span>stdio import<\/span> stdio_client
    \nfrom<\/span> typing import<\/span> Any<\/p>\n

    class<\/span> OllamaMCP<\/span>:<\/span>
    \n """
    \n Ollama \u548c FastMCP \u4e4b\u95f4\u7684\u7b80\u5355\u96c6\u6210
    \n """<\/span>
    \n def<\/span> __init__<\/span>(<\/span>self,<\/span> server_params:<\/span> StdioServerParameters)<\/span>:<\/span>
    \n self.<\/span>server_params =<\/span> server_params
    \n self.<\/span>initialized =<\/span> threading.<\/span>Event(<\/span>)<\/span>
    \n self.<\/span>tools:<\/span> list<\/span>[<\/span>Any]<\/span> =<\/span> [<\/span>]<\/span>
    \n def<\/span> _run_background<\/span>(<\/span>self)<\/span>:<\/span>
    \n asyncio.<\/span>run(<\/span>self.<\/span>_async_run(<\/span>)<\/span>)<\/span>
    \n async<\/span> def<\/span> _async_run<\/span>(<\/span>self)<\/span>:<\/span>
    \n try<\/span>:<\/span>
    \n async<\/span> with<\/span> stdio_client(<\/span>self.<\/span>server_params)<\/span> as<\/span> (<\/span>read,<\/span> write)<\/span>:<\/span>
    \n async<\/span> with<\/span> ClientSession(<\/span>read,<\/span> write)<\/span> as<\/span> session:<\/span>
    \n await<\/span> session.<\/span>initialize(<\/span>)<\/span>
    \n self.<\/span>session =<\/span> session
    \n tools_result =<\/span> await<\/span> session.<\/span>list_tools(<\/span>)<\/span>
    \n self.<\/span>tools =<\/span> tools_result.<\/span>tools
    \n print<\/span>(<\/span>tools_result)<\/span>
    \n except<\/span> Exception as<\/span> e:<\/span>
    \n print<\/span>(<\/span>f"\u521d\u59cb\u5316 MCP \u670d\u52a1\u5668\u65f6\u51fa\u9519 <\/span>{<\/span>str<\/span>(<\/span>e)<\/span>}<\/span><\/span>"<\/span><\/span>)<\/span>
    \nif<\/span> __name__ ==<\/span> "__main__"<\/span>:<\/span>
    \n server_parameters =<\/span> StdioServerParameters(<\/span>
    \n command=<\/span>"uv"<\/span>,<\/span>
    \n args=<\/span>[<\/span>"run"<\/span>,<\/span> "python"<\/span>,<\/span> "server.py"<\/span>]<\/span>,<\/span>
    \n cwd=<\/span>str<\/span>(<\/span>Path.<\/span>cwd(<\/span>)<\/span>)<\/span>
    \n )<\/span>
    \n ollamamcp =<\/span> OllamaMCP(<\/span>server_params=<\/span>server_parameters)<\/span>
    \n ollamamcp.<\/span>_run_background(<\/span>)<\/span><\/p>\n

    \u8fd0\u884c\u4e0a\u8ff0\u4ee3\u7801\u540e，\u4f60\u4f1a\u4ece\u670d\u52a1\u5668\u6536\u5230\u4ee5\u4e0b\u54cd\u5e94，\u5176\u4e2d\u53ef\u4ee5\u770b\u5230\u670d\u52a1\u5668\u4e0a\u53ef\u7528\u7684\u5de5\u5177\u5217\u8868\u3002<\/p>\n

    [<\/span>04<\/span>\/<\/span>14<\/span>\/<\/span>25<\/span> 22<\/span>:<\/span>29<\/span>:<\/span>08<\/span>]<\/span> INFO \u6b63\u5728\u542f\u52a8\u670d\u52a1\u5668 "TestServer"<\/span>.<\/span>.<\/span>.<\/span> server.<\/span>py:<\/span>171<\/span>
    \n INFO \u6b63\u5728\u5904\u7406\u8bf7\u6c42\u7c7b\u578b server.<\/span>py:<\/span>534<\/span>
    \n ListToolsRequest
    \nmeta=<\/span>None<\/span> nextCursor=<\/span>None<\/span> tools=<\/span>[<\/span>Tool(<\/span>name=<\/span>'magicoutput'<\/span>,<\/span> description=<\/span>'\u4f7f\u7528\u8fd9\u4e2a\u51fd\u6570\u6765\u83b7\u53d6\u795e\u5947\u7684\u8f93\u51fa'<\/span>,<\/span> inputSchema=<\/span>{<\/span>'properties'<\/span>:<\/span> {<\/span>'obj1'<\/span>:<\/span> {<\/span>'title'<\/span>:<\/span> 'Obj1'<\/span>,<\/span> 'type'<\/span>:<\/span> 'string'<\/span>}<\/span>,<\/span> 'obj2'<\/span>:<\/span> {<\/span>'title'<\/span>:<\/span> 'Obj2'<\/span>,<\/span> 'type'<\/span>:<\/span> 'string'<\/span>}<\/span>}<\/span>,<\/span> 'required'<\/span>:<\/span> [<\/span>'obj1'<\/span>,<\/span> 'obj2'<\/span>]<\/span>,<\/span> 'title'<\/span>:<\/span> 'magicoutputArguments'<\/span>,<\/span> 'type'<\/span>:<\/span> 'object'<\/span>}<\/span>)<\/span>]<\/span><\/p>\n

    \u5c06\u5de5\u5177\u8f6c\u6362\u4e3a Pydantic \u6a21\u578b<\/h3>\n

    \u73b0\u5728\u6211\u4eec\u5df2\u7ecf\u4ece\u670d\u52a1\u5668\u83b7\u53d6\u4e86\u5de5\u5177\u5217\u8868，\u4e0b\u4e00\u6b65\u662f\u5c06\u5b83\u4eec\u8f6c\u6362\u4e3a Pydantic \u6a21\u578b\u3002\u6211\u4eec\u4f7f\u7528 Pydantic \u7684 create_model \u52a8\u6001\u5b9a\u4e49\u4e00\u4e2a\u65b0\u7684\u54cd\u5e94\u6a21\u5f0f，\u57fa\u4e8e\u670d\u52a1\u5668\u7684\u5de5\u5177\u5b9a\u4e49\u3002\u8fd8\u6709\u4e00\u4e2a\u8f85\u52a9\u51fd\u6570，\u7528\u4e8e\u5c06 JSON \u7c7b\u578b\u6620\u5c04\u4e3a\u6709\u6548\u7684 Python \u7c7b\u578b\u3002<\/p>\n

    \u8fd9\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u52a8\u6001\u5b9a\u4e49\u6a21\u578b，\u4ee5\u4fbf LLM \u7cbe\u786e\u5730\u77e5\u9053\u5728\u8fd4\u56de\u5de5\u5177\u53c2\u6570\u65f6\u5e94\u4f7f\u7528\u4ec0\u4e48\u7ed3\u6784\u3002<\/p>\n

    # client.py<\/span>
    \nimport<\/span> asyncio
    \nimport<\/span> threading
    \nfrom<\/span> pathlib import<\/span> Path
    \nfrom<\/span> mcp import<\/span> ClientSession,<\/span> StdioServerParameters
    \nfrom<\/span> mcp.<\/span>client.<\/span>stdio import<\/span> stdio_client
    \nfrom<\/span> typing import<\/span> Any,<\/span> Union,<\/span> Optional
    \nfrom<\/span> pydantic import<\/span> BaseModel,<\/span> create_model,<\/span> Field<\/p>\n

    class<\/span> OllamaMCP<\/span>:<\/span>
    \n """Ollama \u548c FastMCP \u4e4b\u95f4\u7684\u7b80\u5355\u96c6\u6210"""<\/span><\/p>\n

    def<\/span> __init__<\/span>(<\/span>self,<\/span> server_params:<\/span> StdioServerParameters)<\/span>:<\/span>
    \n self.<\/span>server_params =<\/span> server_params
    \n self.<\/span>initialized =<\/span> threading.<\/span>Event(<\/span>)<\/span>
    \n self.<\/span>tools:<\/span> list<\/span>[<\/span>Any]<\/span> =<\/span> [<\/span>]<\/span><\/p>\n

    def<\/span> _run_background<\/span>(<\/span>self)<\/span>:<\/span>
    \n asyncio.<\/span>run(<\/span>self.<\/span>_async_run(<\/span>)<\/span>)<\/span><\/p>\n

    async<\/span> def<\/span> _async_run<\/span>(<\/span>self)<\/span>:<\/span>
    \n try<\/span>:<\/span>
    \n async<\/span> with<\/span> stdio_client(<\/span>self.<\/span>server_params)<\/span> as<\/span> (<\/span>read,<\/span> write)<\/span>:<\/span>
    \n async<\/span> with<\/span> ClientSession(<\/span>read,<\/span> write)<\/span> as<\/span> session:<\/span>
    \n await<\/span> session.<\/span>initialize(<\/span>)<\/span>
    \n self.<\/span>session =<\/span> session
    \n tools_result =<\/span> await<\/span> session.<\/span>list_tools(<\/span>)<\/span>
    \n self.<\/span>tools =<\/span> tools_result.<\/span>tools
    \n except<\/span> Exception as<\/span> e:<\/span>
    \n print<\/span>(<\/span>f"\u521d\u59cb\u5316 MCP \u670d\u52a1\u5668\u65f6\u51fa\u9519 <\/span>{<\/span>str<\/span>(<\/span>e)<\/span>}<\/span><\/span>"<\/span><\/span>)<\/span><\/p>\n

    def<\/span> create_response_model<\/span>(<\/span>self)<\/span>:<\/span>
    \n dynamic_classes =<\/span> {<\/span>}<\/span>
    \n for<\/span> tool in<\/span> self.<\/span>tools:<\/span>
    \n class_name =<\/span> tool.<\/span>name.<\/span>capitalize(<\/span>)<\/span>
    \n properties =<\/span> {<\/span>}<\/span>
    \n for<\/span> prop_name,<\/span> prop_info in<\/span> tool.<\/span>inputSchema.<\/span>get(<\/span>"properties"<\/span>,<\/span> {<\/span>}<\/span>)<\/span>.<\/span>items(<\/span>)<\/span>:<\/span>
    \n json_type =<\/span> prop_info.<\/span>get(<\/span>"type"<\/span>,<\/span> "string"<\/span>)<\/span>
    \n properties[<\/span>prop_name]<\/span> =<\/span> self.<\/span>convert_json_type_to_python_type(<\/span>json_type)<\/span><\/p>\n

    model =<\/span> create_model(<\/span>
    \n class_name,<\/span>
    \n __base__=<\/span>BaseModel,<\/span>
    \n __doc__=<\/span>tool.<\/span>description,<\/span>
    \n **<\/span>properties,<\/span>
    \n )<\/span>
    \n dynamic_classes[<\/span>class_name]<\/span> =<\/span> model<\/p>\n

    if<\/span> dynamic_classes:<\/span>
    \n all_tools_type =<\/span> Union[<\/span>tuple<\/span>(<\/span>dynamic_classes.<\/span>values(<\/span>)<\/span>)<\/span>]<\/span>
    \n Response =<\/span> create_model(<\/span>
    \n "Response"<\/span>,<\/span>
    \n __base__=<\/span>BaseModel,<\/span>
    \n __doc__=<\/span>"LLm \u54cd\u5e94\u7c7b"<\/span>,<\/span>
    \n response=<\/span>(<\/span>str<\/span>,<\/span> Field(<\/span>.<\/span>.<\/span>.<\/span>,<\/span> description=<\/span> "\u786e\u8ba4\u5c06\u8c03\u7528\u8be5\u51fd\u6570\u7684\u6d88\u606f"<\/span>)<\/span>)<\/span>,<\/span>
    \n tool=<\/span>(<\/span>all_tools_type,<\/span> Field(<\/span>
    \n .<\/span>.<\/span>.<\/span>,<\/span>
    \n description=<\/span>"\u7528\u4e8e\u8fd0\u884c\u5e76\u83b7\u53d6\u795e\u5947\u8f93\u51fa\u7684\u5de5\u5177"<\/span>
    \n )<\/span>)<\/span>,<\/span>
    \n )<\/span>
    \n else<\/span>:<\/span>
    \n Response =<\/span> create_model(<\/span>
    \n "Response"<\/span>,<\/span>
    \n __base__=<\/span>BaseModel,<\/span>
    \n __doc__=<\/span>"LLm \u54cd\u5e94\u7c7b"<\/span>,<\/span>
    \n response=<\/span>(<\/span>str<\/span>,<\/span> .<\/span>.<\/span>.<\/span>)<\/span>,<\/span>
    \n tool=<\/span>(<\/span>Optional[<\/span>Any]<\/span>,<\/span> Field(<\/span>None<\/span>,<\/span> description=<\/span>"\u5982\u679c\u4e0d\u8fd4\u56de None，\u5219\u4f7f\u7528\u6b64\u5de5\u5177"<\/span>)<\/span>)<\/span>,<\/span>
    \n )<\/span><\/p>\n

    self.<\/span>response_model =<\/span> Response
    \n print<\/span>(<\/span>Response.<\/span>model_fields)<\/span><\/p>\n

    @staticmethod<\/span>
    \n def<\/span> convert_json_type_to_python_type<\/span>(<\/span>json_type:<\/span> str<\/span>)<\/span>:<\/span>
    \n """\u5c06 JSON \u7c7b\u578b\u7b80\u5355\u6620\u5c04\u4e3a Python（Pydantic）\u7c7b\u578b"""<\/span>
    \n if<\/span> json_type ==<\/span> "integer"<\/span>:<\/span>
    \n return<\/span> (<\/span>int<\/span>,<\/span> .<\/span>.<\/span>.<\/span>)<\/span>
    \n if<\/span> json_type ==<\/span> "number"<\/span>:<\/span>
    \n return<\/span> (<\/span>float<\/span>,<\/span> .<\/span>.<\/span>.<\/span>)<\/span>
    \n if<\/span> json_type ==<\/span> "string"<\/span>:<\/span>
    \n return<\/span> (<\/span>str<\/span>,<\/span> .<\/span>.<\/span>.<\/span>)<\/span>
    \n if<\/span> json_type ==<\/span> "boolean"<\/span>:<\/span>
    \n return<\/span> (<\/span>bool<\/span>,<\/span> .<\/span>.<\/span>.<\/span>)<\/span>
    \n return<\/span> (<\/span>str<\/span>,<\/span> .<\/span>.<\/span>.<\/span>)<\/span><\/p>\n

    \u8fd0\u884c\u4ee3\u7801\u540e，print(Response.model_fields) \u7684\u8f93\u51fa\u5c06\u663e\u793a\u6211\u4eec\u521a\u521a\u6784\u5efa\u7684\u54cd\u5e94\u6a21\u578b\u7684\u5b8c\u6574\u7ed3\u6784\u3002\u8be5\u6a21\u578b\u5305\u62ec\u4e24\u90e8\u5206：\u4e00\u90e8\u5206\u662f\u52a9\u624b\u53d1\u9001\u56de\u7528\u6237\u7684\u6d88\u606f，\u53e6\u4e00\u90e8\u5206\u662f\u53ef\u9009\u5b57\u6bb5，\u7528\u4e8e\u4fdd\u5b58\u5de5\u5177\u53c2\u6570\u3002<\/p>\n

    \u5982\u679c\u6a21\u578b\u586b\u5199\u4e86 tool \u5b57\u6bb5，\u6211\u4eec\u5c06\u4f7f\u7528\u5b83\u6765\u8c03\u7528\u670d\u52a1\u5668\u3002\u5426\u5219，\u6211\u4eec\u53ea\u4f7f\u7528\u7eaf\u54cd\u5e94\u5b57\u7b26\u4e32\u3002<\/p>\n

    uv run python –<\/span>m convert_tools
    \n[<\/span>04<\/span>\/<\/span>15<\/span>\/<\/span>25<\/span> 10<\/span>:<\/span>15<\/span>:<\/span>32<\/span>]<\/span> INFO \u6b63\u5728\u542f\u52a8\u670d\u52a1\u5668 "TestServer"<\/span>.<\/span>.<\/span>.<\/span> server.<\/span>py:<\/span>171<\/span>
    \n INFO \u6b63\u5728\u5904\u7406\u8bf7\u6c42\u7c7b\u578b server.<\/span>py:<\/span>534<\/span>
    \n ListToolsRequest
    \n{<\/span>'response'<\/span>:<\/span> FieldInfo(<\/span>annotation=<\/span>str<\/span>,<\/span> required=<\/span>True<\/span>,<\/span> description=<\/span>'\u786e\u8ba4\u5c06\u8c03\u7528\u8be5\u51fd\u6570\u7684\u6d88\u606f'<\/span>)<\/span>,<\/span> 'tool'<\/span>:<\/span> FieldInfo(<\/span>annotation=<\/span>Magicoutput,<\/span> required=<\/span>True<\/span>,<\/span> description=<\/span>'\u7528\u4e8e\u8fd0\u884c\u5e76\u83b7\u53d6\u795e\u5947\u8f93\u51fa\u7684\u5de5\u5177'<\/span>)<\/span>}<\/span><\/p>\n

    \u4f7f\u7528\u540e\u53f0\u7ebf\u7a0b\u548c\u961f\u5217\u8c03\u7528\u5de5\u5177<\/h3>\n

    \u73b0\u5728\u5de5\u5177\u5df2\u7ecf\u4f5c\u4e3a Pydantic \u6a21\u578b\u53ef\u7528，\u6211\u4eec\u53ef\u4ee5\u7ee7\u7eed\u542f\u7528\u5de5\u5177\u8c03\u7528\u3002\u4e3a\u6b64，\u6211\u4eec\u4f7f\u7528\u4e00\u4e2a\u540e\u53f0\u7ebf\u7a0b\u5e76\u8bbe\u7f6e\u4e24\u4e2a\u961f\u5217\u3002\u4e00\u4e2a\u7528\u4e8e\u5411\u670d\u52a1\u5668\u53d1\u9001\u8bf7\u6c42，\u53e6\u4e00\u4e2a\u7528\u4e8e\u63a5\u6536\u54cd\u5e94\u3002<\/p>\n

    call_tool \u65b9\u6cd5\u5c06\u8bf7\u6c42\u653e\u5165\u961f\u5217\u4e2d，\u540e\u53f0\u7ebf\u7a0b\u76d1\u542c\u8be5\u8bf7\u6c42\u3002\u4e00\u65e6\u4f7f\u7528 MCP \u4f1a\u8bdd\u8c03\u7528\u5de5\u5177，\u7ed3\u679c\u5c06\u653e\u5165\u54cd\u5e94\u961f\u5217\u4e2d\u3002<\/p>\n

    import<\/span> asyncio
    \nimport<\/span> threading
    \nimport<\/span> queue
    \nfrom<\/span> pathlib import<\/span> Path
    \nfrom<\/span> mcp import<\/span> ClientSession,<\/span> StdioServerParameters
    \nfrom<\/span> mcp.<\/span>client.<\/span>stdio import<\/span> stdio_client
    \nfrom<\/span> typing import<\/span> Any,<\/span> Union,<\/span> Optional
    \nfrom<\/span> pydantic import<\/span> BaseModel,<\/span> create_model,<\/span> Field<\/p>\n

    class<\/span> OllamaMCP<\/span>:<\/span>
    \n """Ollama \u548c FastMCP \u4e4b\u95f4\u7684\u7b80\u5355\u96c6\u6210"""<\/span>
    \n def<\/span> __init__<\/span>(<\/span>self,<\/span> server_params:<\/span> StdioServerParameters)<\/span>:<\/span>
    \n self.<\/span>server_params =<\/span> server_params
    \n self.<\/span>initialized =<\/span> threading.<\/span>Event(<\/span>)<\/span>
    \n self.<\/span>tools:<\/span> list<\/span>[<\/span>Any]<\/span> =<\/span> [<\/span>]<\/span>
    \n self.<\/span>request_queue =<\/span> queue.<\/span>Queue(<\/span>)<\/span>
    \n self.<\/span>response_queue =<\/span> queue.<\/span>Queue(<\/span>)<\/span>
    \n # \u542f\u52a8\u540e\u53f0\u7ebf\u7a0b\u4ee5\u5f02\u6b65\u5904\u7406\u8bf7\u6c42\u3002<\/span>
    \n self.<\/span>thread =<\/span> threading.<\/span>Thread(<\/span>target=<\/span>self.<\/span>_run_background,<\/span> daemon=<\/span>True<\/span>)<\/span>
    \n self.<\/span>thread.<\/span>start(<\/span>)<\/span>
    \n def<\/span> _run_background<\/span>(<\/span>self)<\/span>:<\/span>
    \n asyncio.<\/span>run(<\/span>self.<\/span>_async_run(<\/span>)<\/span>)<\/span>
    \n async<\/span> def<\/span> _async_run<\/span>(<\/span>self)<\/span>:<\/span>
    \n try<\/span>:<\/span>
    \n async<\/span> with<\/span> stdio_client(<\/span>self.<\/span>server_params)<\/span> as<\/span> (<\/span>read,<\/span> write)<\/span>:<\/span>
    \n async<\/span> with<\/span> ClientSession(<\/span>read,<\/span> write)<\/span> as<\/span> session:<\/span>
    \n await<\/span> session.<\/span>initialize(<\/span>)<\/span>
    \n self.<\/span>session =<\/span> session
    \n tools_result =<\/span> await<\/span> session.<\/span>list_tools(<\/span>)<\/span>
    \n self.<\/span>tools =<\/span> tools_result.<\/span>tools
    \n self.<\/span>initialized.<\/span>set<\/span>(<\/span>)<\/span>
    \n while<\/span> True<\/span>:<\/span>
    \n try<\/span>:<\/span>
    \n tool_name,<\/span> arguments =<\/span> self.<\/span>request_queue.<\/span>get(<\/span>block=<\/span>False<\/span>)<\/span>
    \n except<\/span> queue.<\/span>Empty:<\/span>
    \n await<\/span> asyncio.<\/span>sleep(<\/span>0.01<\/span>)<\/span>
    \n continue<\/span>
    \n if<\/span> tool_name is<\/span> None<\/span>:<\/span>
    \n print<\/span>(<\/span>"\u6536\u5230\u5173\u95ed\u4fe1\u53f7\u3002"<\/span>)<\/span>
    \n break<\/span>
    \n try<\/span>:<\/span>
    \n result =<\/span> await<\/span> session.<\/span>call_tool(<\/span>tool_name,<\/span> arguments)<\/span>
    \n self.<\/span>response_queue.<\/span>put(<\/span>result)<\/span>
    \n except<\/span> Exception as<\/span> e:<\/span>
    \n self.<\/span>response_queue.<\/span>put(<\/span>f"\u9519\u8bef: <\/span>{<\/span>str<\/span>(<\/span>e)<\/span>}<\/span><\/span>"<\/span><\/span>)<\/span>
    \n except<\/span> Exception as<\/span> e:<\/span>
    \n print<\/span>(<\/span>"MCP \u4f1a\u8bdd\u521d\u59cb\u5316\u9519\u8bef:"<\/span>,<\/span> str<\/span>(<\/span>e)<\/span>)<\/span>
    \n self.<\/span>initialized.<\/span>set<\/span>(<\/span>)<\/span> # \u5373\u4f7f\u521d\u59cb\u5316\u5931\u8d25，\u4e5f\u8981\u89e3\u9664\u7b49\u5f85\u7ebf\u7a0b\u7684\u963b\u585e\u3002<\/span>
    \n self.<\/span>response_queue.<\/span>put(<\/span>f"MCP \u521d\u59cb\u5316\u9519\u8bef: <\/span>{<\/span>str<\/span>(<\/span>e)<\/span>}<\/span><\/span>"<\/span><\/span>)<\/span><\/p>\n

    def<\/span> call_tool<\/span>(<\/span>self,<\/span> tool_name:<\/span> str<\/span>,<\/span> arguments:<\/span> dict<\/span>[<\/span>str<\/span>,<\/span> Any]<\/span>)<\/span> –<\/span>><\/span> Any:<\/span>
    \n """
    \n \u53d1\u9001\u5de5\u5177\u8c03\u7528\u8bf7\u6c42\u5e76\u7b49\u5f85\u7ed3\u679c\u3002
    \n """<\/span>
    \n if<\/span> not<\/span> self.<\/span>initialized.<\/span>wait(<\/span>timeout=<\/span>30<\/span>)<\/span>:<\/span>
    \n raise<\/span> TimeoutError(<\/span>"MCP \u4f1a\u8bdd\u521d\u59cb\u5316\u8d85\u65f6\u3002"<\/span>)<\/span>
    \n self.<\/span>request_queue.<\/span>put(<\/span>(<\/span>tool_name,<\/span> arguments)<\/span>)<\/span>
    \n result =<\/span> self.<\/span>response_queue.<\/span>get(<\/span>)<\/span>
    \n return<\/span> result<\/p>\n

    def<\/span> shutdown<\/span>(<\/span>self)<\/span>:<\/span>
    \n """
    \n \u6e05\u7406\u5e76\u5173\u95ed\u6301\u4e45\u4f1a\u8bdd\u3002
    \n """<\/span>
    \n self.<\/span>request_queue.<\/span>put(<\/span>(<\/span>None<\/span>,<\/span> None<\/span>)<\/span>)<\/span>
    \n self.<\/span>thread.<\/span>join(<\/span>)<\/span>
    \n print<\/span>(<\/span>"\u6301\u4e45 MCP \u4f1a\u8bdd\u5df2\u5173\u95ed\u3002"<\/span>)<\/span><\/p>\n

    def<\/span> create_response_model<\/span>(<\/span>self)<\/span>:<\/span>
    \n dynamic_classes =<\/span> {<\/span>}<\/span>
    \n for<\/span> tool in<\/span> self.<\/span>tools:<\/span>
    \n class_name =<\/span> tool.<\/span>name.<\/span>capitalize(<\/span>)<\/span>
    \n properties =<\/span> {<\/span>}<\/span>
    \n for<\/span> prop_name,<\/span> prop_info in<\/span> tool.<\/span>inputSchema.<\/span>get(<\/span>"properties"<\/span>,<\/span> {<\/span>}<\/span>)<\/span>.<\/span>items(<\/span>)<\/span>:<\/span>
    \n json_type =<\/span> prop_info.<\/span>get(<\/span>"type"<\/span>,<\/span> "string"<\/span>)<\/span>
    \n properties[<\/span>prop_name]<\/span> =<\/span> self.<\/span>convert_json_type_to_python_type(<\/span>json_type)<\/span>
    \n model =<\/span> create_model(<\/span>
    \n class_name,<\/span>
    \n __base__=<\/span>BaseModel,<\/span>
    \n __doc__=<\/span>tool.<\/span>description,<\/span>
    \n **<\/span>properties,<\/span>
    \n )<\/span>
    \n dynamic_classes[<\/span>class_name]<\/span> =<\/span> model
    \n if<\/span> dynamic_classes:<\/span>
    \n all_tools_type =<\/span> Union[<\/span>tuple<\/span>(<\/span>dynamic_classes.<\/span>values(<\/span>)<\/span>)<\/span>]<\/span>
    \n Response =<\/span> create_model(<\/span>
    \n "Response"<\/span>,<\/span>
    \n __base__=<\/span>BaseModel,<\/span>
    \n response=<\/span>(<\/span>str<\/span>,<\/span> .<\/span>.<\/span>.<\/span>)<\/span>,<\/span>
    \n tool=<\/span>(<\/span>Optional[<\/span>all_tools_type]<\/span>,<\/span> Field(<\/span>None<\/span>,<\/span> description=<\/span>"\u5982\u679c\u4e0d\u8fd4\u56de None，\u5219\u4f7f\u7528\u6b64\u5de5\u5177"<\/span>)<\/span>)<\/span>,<\/span>
    \n )<\/span>
    \n else<\/span>:<\/span>
    \n Response =<\/span> create_model(<\/span>
    \n "Response"<\/span>,<\/span>
    \n __base__=<\/span>BaseModel,<\/span>
    \n response=<\/span>(<\/span>str<\/span>,<\/span> .<\/span>.<\/span>.<\/span>)<\/span>,<\/span>
    \n tool=<\/span>(<\/span>Optional[<\/span>Any]<\/span>,<\/span> Field(<\/span>None<\/span>,<\/span> description=<\/span>"\u5982\u679c\u4e0d\u8fd4\u56de None，\u5219\u4f7f\u7528\u6b64\u5de5\u5177"<\/span>)<\/span>)<\/span>,<\/span>
    \n )<\/span>
    \n self.<\/span>response_model =<\/span> Response
    \n @staticmethod<\/span>
    \n def<\/span> convert_json_type_to_python_type<\/span>(<\/span>json_type:<\/span> str<\/span>)<\/span>:<\/span>
    \n """\u5c06 JSON \u7c7b\u578b\u7b80\u5355\u6620\u5c04\u4e3a Python（Pydantic）\u7c7b\u578b"""<\/span>
    \n if<\/span> json_type ==<\/span> "integer"<\/span>:<\/span>
    \n return<\/span> (<\/span>int<\/span>,<\/span> .<\/span>.<\/span>.<\/span>)<\/span>
    \n if<\/span> json_type ==<\/span> "number"<\/span>:<\/span>
    \n return<\/span> (<\/span>float<\/span>,<\/span> .<\/span>.<\/span>.<\/span>)<\/span>
    \n if<\/span> json_type ==<\/span> "string"<\/span>:<\/span>
    \n return<\/span> (<\/span>str<\/span>,<\/span> .<\/span>.<\/span>.<\/span>)<\/span>
    \n if<\/span> json_type ==<\/span> "boolean"<\/span>:<\/span>
    \n return<\/span> (<\/span>bool<\/span>,<\/span> .<\/span>.<\/span>.<\/span>)<\/span>
    \n return<\/span> (<\/span>str<\/span>,<\/span> .<\/span>.<\/span>.<\/span>)<\/span>
    \nif<\/span> __name__ ==<\/span> "__main__"<\/span>:<\/span>
    \n server_parameters =<\/span> StdioServerParameters(<\/span>
    \n command=<\/span>"uv"<\/span>,<\/span>
    \n args=<\/span>[<\/span>"run"<\/span>,<\/span> "python"<\/span>,<\/span> "server.py"<\/span>]<\/span>,<\/span>
    \n cwd=<\/span>str<\/span>(<\/span>Path.<\/span>cwd(<\/span>)<\/span>)<\/span>
    \n )<\/span>
    \n ollamamcp =<\/span> OllamaMCP(<\/span>server_params=<\/span>server_parameters)<\/span>
    \n if<\/span> ollamamcp.<\/span>initialized.<\/span>wait(<\/span>timeout=<\/span>30<\/span>)<\/span>:<\/span>
    \n print<\/span>(<\/span>"\u5df2\u51c6\u5907\u597d\u8c03\u7528\u5de5\u5177\u3002"<\/span>)<\/span>
    \n result =<\/span> ollamamcp.<\/span>call_tool(<\/span>
    \n tool_name=<\/span>"magicoutput"<\/span>,<\/span>
    \n arguments=<\/span>{<\/span>"obj1"<\/span>:<\/span> "dog"<\/span>,<\/span> "obj2"<\/span>:<\/span> "cat"<\/span>}<\/span>
    \n )<\/span>
    \n print<\/span>(<\/span>result)<\/span>
    \n else<\/span>:<\/span>
    \n print<\/span>(<\/span>"\u9519\u8bef：\u521d\u59cb\u5316\u8d85\u65f6\u3002"<\/span>)<\/span><\/p>\n

    \u8bf7\u6ce8\u610f，\u6b64\u65f6\u6211\u4eec\u662f\u624b\u52a8\u4f20\u9012\u51fd\u6570\u540d\u548c\u53c2\u6570，\u4f7f\u7528 call_tool \u65b9\u6cd5\u3002\u5728\u4e0b\u4e00\u8282\u4e2d，\u6211\u4eec\u5c06\u6839\u636e Ollama \u8fd4\u56de\u7684\u7ed3\u6784\u5316\u8f93\u51fa\u89e6\u53d1\u6b64\u8c03\u7528\u3002<\/p>\n

    \u8fd0\u884c\u6b64\u4ee3\u7801\u540e，\u6211\u4eec\u53ef\u4ee5\u786e\u8ba4\u4e00\u5207\u6309\u9884\u671f\u5de5\u4f5c\u3002\u5de5\u5177\u88ab\u670d\u52a1\u5668\u6b63\u786e\u8bc6\u522b\u3001\u6267\u884c，\u5e76\u8fd4\u56de\u7ed3\u679c\u3002<\/p>\n

    [<\/span>04<\/span>\/<\/span>15<\/span>\/<\/span>25<\/span> 11<\/span>:<\/span>37<\/span>:<\/span>47<\/span>]<\/span> INFO \u6b63\u5728\u542f\u52a8\u670d\u52a1\u5668 "TestServer"<\/span>.<\/span>.<\/span>.<\/span> server.<\/span>py:<\/span>171<\/span>
    \n INFO \u6b63\u5728\u5904\u7406\u8bf7\u6c42\u7c7b\u578b server.<\/span>py:<\/span>534<\/span>
    \n ListToolsRequest
    \n\u5df2\u51c6\u5907\u597d\u8c03\u7528\u5de5\u5177\u3002
    \n INFO \u6b63\u5728\u5904\u7406\u8bf7\u6c42\u7c7b\u578b server.<\/span>py:<\/span>534<\/span>
    \n CallToolRequest
    \nmeta=<\/span>None<\/span> content=<\/span>[<\/span>TextContent(<\/span>type<\/span>=<\/span>'text'<\/span>,<\/span> text=<\/span>'WomboWombat'<\/span>,<\/span> annotations=<\/span>None<\/span>)<\/span>]<\/span> isError=<\/span>False<\/span><\/p>\n

    Ollama + MCP<\/h3>\n

    \u968f\u7740\u961f\u5217\u548c call_tool \u51fd\u6570\u51c6\u5907\u5c31\u7eea，\u73b0\u5728\u662f\u65f6\u5019\u96c6\u6210 Ollama \u4e86\u3002\u6211\u4eec\u5c06\u54cd\u5e94\u7c7b\u4f20\u9012\u7ed9 Ollama \u7684 format \u5b57\u6bb5，\u544a\u8bc9\u6211\u4eec\u7684 LLM（\u8fd9\u91cc\u4f7f\u7528 Gemma）\u5728\u751f\u6210\u8f93\u51fa\u65f6\u9075\u5faa\u8be5\u6a21\u5f0f\u3002<\/p>\n

    \u6211\u4eec\u8fd8\u5b9a\u4e49\u4e86\u4e00\u4e2a ollama_chat \u65b9\u6cd5，\u7528\u4e8e\u53d1\u9001\u5bf9\u8bdd，\u9a8c\u8bc1\u6a21\u578b\u7684\u54cd\u5e94\u662f\u5426\u7b26\u5408\u6a21\u5f0f，\u5e76\u68c0\u67e5\u662f\u5426\u5305\u542b\u5de5\u5177\u3002\u5982\u679c\u662f，\u5219\u63d0\u53d6\u51fd\u6570\u540d\u548c\u53c2\u6570，\u7136\u540e\u4f7f\u7528\u6301\u4e45\u7684 MCP \u4f1a\u8bdd\u5728\u540e\u53f0\u7ebf\u7a0b\u4e2d\u8c03\u7528\u5b83\u3002<\/p>\n

    \u5728 main \u51fd\u6570\u4e2d，\u6211\u4eec\u8bbe\u7f6e\u670d\u52a1\u5668\u8fde\u63a5，\u542f\u52a8\u540e\u53f0\u5faa\u73af，\u5e76\u7b49\u5f85\u4e00\u5207\u51c6\u5907\u5c31\u7eea\u3002\u7136\u540e\u6211\u4eec\u51c6\u5907\u4e00\u4e2a\u7cfb\u7edf\u63d0\u793a\u548c\u7528\u6237\u6d88\u606f，\u5c06\u5b83\u4eec\u53d1\u9001\u5230 Ollama，\u5e76\u7b49\u5f85\u7ed3\u6784\u5316\u8f93\u51fa\u3002<\/p>\n

    \u6700\u540e，\u6211\u4eec\u6253\u5370\u670d\u52a1\u5668\u7684\u7ed3\u679c\u5e76\u5173\u95ed\u4f1a\u8bdd\u3002<\/p>\n

    import<\/span> asyncio
    \nimport<\/span> threading
    \nimport<\/span> queue<\/p>\n

    from<\/span> pathlib import<\/span> Path
    \nfrom<\/span> typing import<\/span> Any,<\/span> Optional,<\/span> Union
    \nfrom<\/span> pydantic import<\/span> BaseModel,<\/span> Field,<\/span> create_model
    \nfrom<\/span> mcp import<\/span> ClientSession,<\/span> StdioServerParameters
    \nfrom<\/span> mcp.<\/span>client.<\/span>stdio import<\/span> stdio_client
    \nfrom<\/span> ollama import<\/span> chat<\/p>\n

    class<\/span> OllamaMCP<\/span>:<\/span><\/p>\n

    def<\/span> __init__<\/span>(<\/span>self,<\/span> server_params:<\/span> StdioServerParameters)<\/span>:<\/span>
    \n self.<\/span>server_params =<\/span> server_params
    \n self.<\/span>request_queue =<\/span> queue.<\/span>Queue(<\/span>)<\/span>
    \n self.<\/span>response_queue =<\/span> queue.<\/span>Queue(<\/span>)<\/span>
    \n self.<\/span>initialized =<\/span> threading.<\/span>Event(<\/span>)<\/span>
    \n self.<\/span>tools:<\/span> list<\/span>[<\/span>Any]<\/span> =<\/span> [<\/span>]<\/span>
    \n self.<\/span>thread =<\/span> threading.<\/span>Thread(<\/span>target=<\/span>self.<\/span>_run_background,<\/span> daemon=<\/span>True<\/span>)<\/span>
    \n self.<\/span>thread.<\/span>start(<\/span>)<\/span><\/p>\n

    def<\/span> _run_background<\/span>(<\/span>self)<\/span>:<\/span>
    \n asyncio.<\/span>run(<\/span>self.<\/span>_async_run(<\/span>)<\/span>)<\/span><\/p>\n

    async<\/span> def<\/span> _async_run<\/span>(<\/span>self)<\/span>:<\/span>
    \n try<\/span>:<\/span>
    \n async<\/span> with<\/span> stdio_client(<\/span>self.<\/span>server_params)<\/span> as<\/span> (<\/span>read,<\/span> write)<\/span>:<\/span>
    \n async<\/span> with<\/span> ClientSession(<\/span>read,<\/span> write)<\/span> as<\/span> session:<\/span>
    \n await<\/span> session.<\/span>initialize(<\/span>)<\/span>
    \n self.<\/span>session =<\/span> session
    \n tools_result =<\/span> await<\/span> session.<\/span>list_tools(<\/span>)<\/span>
    \n self.<\/span>tools =<\/span> tools_result.<\/span>tools
    \n self.<\/span>initialized.<\/span>set<\/span>(<\/span>)<\/span><\/p>\n

    while<\/span> True<\/span>:<\/span>
    \n try<\/span>:<\/span>
    \n tool_name,<\/span> arguments =<\/span> self.<\/span>request_queue.<\/span>get(<\/span>block=<\/span>False<\/span>)<\/span>
    \n except<\/span> queue.<\/span>Empty:<\/span>
    \n await<\/span> asyncio.<\/span>sleep(<\/span>0.01<\/span>)<\/span>
    \n continue<\/span><\/p>\n

    if<\/span> tool_name is<\/span> None<\/span>:<\/span>
    \n break<\/span>
    \n try<\/span>:<\/span>
    \n result =<\/span> await<\/span> session.<\/span>call_tool(<\/span>tool_name,<\/span> arguments)<\/span>
    \n self.<\/span>response_queue.<\/span>put(<\/span>result)<\/span>
    \n except<\/span> Exception as<\/span> e:<\/span>
    \n self.<\/span>response_queue.<\/span>put(<\/span>f"\u9519\u8bef: <\/span>{<\/span>str<\/span>(<\/span>e)<\/span>}<\/span><\/span>"<\/span><\/span>)<\/span>
    \n except<\/span> Exception as<\/span> e:<\/span>
    \n print<\/span>(<\/span>"MCP \u4f1a\u8bdd\u521d\u59cb\u5316\u9519\u8bef:"<\/span>,<\/span> str<\/span>(<\/span>e)<\/span>)<\/span>
    \n self.<\/span>initialized.<\/span>set<\/span>(<\/span>)<\/span> # \u5373\u4f7f\u521d\u59cb\u5316\u5931\u8d25，\u4e5f\u8981\u89e3\u9664\u7b49\u5f85\u7ebf\u7a0b\u7684\u963b\u585e\u3002<\/span>
    \n self.<\/span>response_queue.<\/span>put(<\/span>f"MCP \u521d\u59cb\u5316\u9519\u8bef: <\/span>{<\/span>str<\/span>(<\/span>e)<\/span>}<\/span><\/span>"<\/span><\/span>)<\/span><\/p>\n

    def<\/span> call_tool<\/span>(<\/span>self,<\/span> tool_name:<\/span> str<\/span>,<\/span> arguments:<\/span> dict<\/span>[<\/span>str<\/span>,<\/span> Any]<\/span>)<\/span> –<\/span>><\/span> Any:<\/span>
    \n """
    \n \u53d1\u9001\u5de5\u5177\u8c03\u7528\u8bf7\u6c42\u5e76\u7b49\u5f85\u7ed3\u679c\u3002
    \n """<\/span>
    \n if<\/span> not<\/span> self.<\/span>initialized.<\/span>wait(<\/span>timeout=<\/span>30<\/span>)<\/span>:<\/span>
    \n raise<\/span> TimeoutError(<\/span>"MCP \u4f1a\u8bdd\u521d\u59cb\u5316\u8d85\u65f6\u3002"<\/span>)<\/span>
    \n self.<\/span>request_queue.<\/span>put(<\/span>(<\/span>tool_name,<\/span> arguments)<\/span>)<\/span>
    \n result =<\/span> self.<\/span>response_queue.<\/span>get(<\/span>)<\/span>
    \n return<\/span> result<\/p>\n

    def<\/span> shutdown<\/span>(<\/span>self)<\/span>:<\/span>
    \n """
    \n \u6e05\u7406\u5e76\u5173\u95ed\u6301\u4e45\u4f1a\u8bdd\u3002
    \n """<\/span>
    \n self.<\/span>request_queue.<\/span>put(<\/span>(<\/span>None<\/span>,<\/span> None<\/span>)<\/span>)<\/span>
    \n self.<\/span>thread.<\/span>join(<\/span>)<\/span>
    \n print<\/span>(<\/span>"\u6301\u4e45 MCP \u4f1a\u8bdd\u5df2\u5173\u95ed\u3002"<\/span>)<\/span><\/p>\n

    @staticmethod<\/span>
    \n def<\/span> convert_json_type_to_python_type<\/span>(<\/span>json_type:<\/span> str<\/span>)<\/span>:<\/span>
    \n """\u5c06 JSON \u7c7b\u578b\u7b80\u5355\u6620\u5c04\u4e3a Python（Pydantic）\u7c7b\u578b"""<\/span>
    \n if<\/span> json_type ==<\/span> "integer"<\/span>:<\/span>
    \n return<\/span> (<\/span>int<\/span>,<\/span> .<\/span>.<\/span>.<\/span>)<\/span>
    \n if<\/span> json_type ==<\/span> "number"<\/span>:<\/span>
    \n return<\/span> (<\/span>float<\/span>,<\/span> .<\/span>.<\/span>.<\/span>)<\/span>
    \n if<\/span> json_type ==<\/span> "string"<\/span>:<\/span>
    \n return<\/span> (<\/span>str<\/span>,<\/span> .<\/span>.<\/span>.<\/span>)<\/span>
    \n if<\/span> json_type ==<\/span> "boolean"<\/span>:<\/span>
    \n return<\/span> (<\/span>bool<\/span>,<\/span> .<\/span>.<\/span>.<\/span>)<\/span>
    \n return<\/span> (<\/span>str<\/span>,<\/span> .<\/span>.<\/span>.<\/span>)<\/span><\/p>\n

    def<\/span> create_response_model<\/span>(<\/span>self)<\/span>:<\/span>
    \n """
    \n \u6839\u636e\u83b7\u53d6\u7684\u5de5\u5177\u52a8\u6001\u521b\u5efa Pydantic \u54cd\u5e94\u6a21\u578b\u3002
    \n """<\/span>
    \n dynamic_classes =<\/span> {<\/span>}<\/span>
    \n for<\/span> tool in<\/span> self.<\/span>tools:<\/span>
    \n class_name =<\/span> tool.<\/span>name.<\/span>capitalize(<\/span>)<\/span>
    \n properties:<\/span> dict<\/span>[<\/span>str<\/span>,<\/span> Any]<\/span> =<\/span> {<\/span>}<\/span>
    \n for<\/span> prop_name,<\/span> prop_info in<\/span> tool.<\/span>inputSchema.<\/span>get(<\/span>"properties"<\/span>,<\/span> {<\/span>}<\/span>)<\/span>.<\/span>items(<\/span>)<\/span>:<\/span>
    \n json_type =<\/span> prop_info.<\/span>get(<\/span>"type"<\/span>,<\/span> "string"<\/span>)<\/span>
    \n properties[<\/span>prop_name]<\/span> =<\/span> self.<\/span>convert_json_type_to_python_type(<\/span>json_type)<\/span><\/p>\n

    model =<\/span> create_model(<\/span>
    \n class_name,<\/span>
    \n __base__=<\/span>BaseModel,<\/span>
    \n __doc__=<\/span>tool.<\/span>description,<\/span>
    \n **<\/span>properties,<\/span>
    \n )<\/span>
    \n dynamic_classes[<\/span>class_name]<\/span> =<\/span> model<\/p>\n

    if<\/span> dynamic_classes:<\/span>
    \n all_tools_type =<\/span> Union[<\/span>tuple<\/span>(<\/span>dynamic_classes.<\/span>values(<\/span>)<\/span>)<\/span>]<\/span>
    \n Response =<\/span> create_model(<\/span>
    \n "Response"<\/span>,<\/span>
    \n __base__=<\/span>BaseModel,<\/span>
    \n __doc__=<\/span>"LLm \u54cd\u5e94\u7c7b"<\/span>,<\/span>
    \n response=<\/span>(<\/span>str<\/span>,<\/span> Field(<\/span>.<\/span>.<\/span>.<\/span>,<\/span> description=<\/span> "\u786e\u8ba4\u5c06\u8c03\u7528\u8be5\u51fd\u6570\u7684\u6d88\u606f"<\/span>)<\/span>)<\/span>,<\/span>
    \n tool=<\/span>(<\/span>all_tools_type,<\/span> Field(<\/span>
    \n .<\/span>.<\/span>.<\/span>,<\/span>
    \n description=<\/span>"\u7528\u4e8e\u8fd0\u884c\u5e76\u83b7\u53d6\u795e\u5947\u8f93\u51fa\u7684\u5de5\u5177"<\/span>
    \n )<\/span>)<\/span>,<\/span>
    \n )<\/span>
    \n else<\/span>:<\/span>
    \n Response =<\/span> create_model(<\/span>
    \n "Response"<\/span>,<\/span>
    \n __base__=<\/span>BaseModel,<\/span>
    \n __doc__=<\/span>"LLm \u54cd\u5e94\u7c7b"<\/span>,<\/span>
    \n response=<\/span>(<\/span>str<\/span>,<\/span> .<\/span>.<\/span>.<\/span>)<\/span>,<\/span>
    \n tool=<\/span>(<\/span>Optional[<\/span>Any]<\/span>,<\/span> Field(<\/span>None<\/span>,<\/span> description=<\/span>"\u5982\u679c\u4e0d\u8fd4\u56de None，\u5219\u4f7f\u7528\u6b64\u5de5\u5177"<\/span>)<\/span>)<\/span>,<\/span>
    \n )<\/span>
    \n self.<\/span>response_model =<\/span> Response<\/p>\n

    async<\/span> def<\/span> ollama_chat<\/span>(<\/span>self,<\/span> messages:<\/span> list<\/span>[<\/span>dict<\/span>[<\/span>str<\/span>,<\/span> str<\/span>]<\/span>]<\/span>)<\/span> –<\/span>><\/span> Any:<\/span>
    \n """
    \n \u4f7f\u7528\u52a8\u6001\u54cd\u5e94\u6a21\u578b\u5411 Ollama \u53d1\u9001\u6d88\u606f\u3002
    \n \u5982\u679c\u54cd\u5e94\u4e2d\u5305\u542b\u5de5\u5177，\u5219\u4f7f\u7528\u6301\u4e45\u4f1a\u8bdd\u8c03\u7528\u5b83\u3002
    \n """<\/span>
    \n conversation =<\/span> [<\/span>{<\/span>"role"<\/span>:<\/span>"assistant"<\/span>,<\/span> "content"<\/span>:<\/span> f"\u4f60\u5fc5\u987b\u4f7f\u7528\u5de5\u5177\u3002\u4f60\u6709\u4ee5\u4e0b\u51fd\u6570\u53ef\u7528\u3002<\/span>{<\/span>[<\/span> tool.<\/span>name for<\/span> tool in<\/span> self.<\/span>tools ]<\/span>}<\/span><\/span>"<\/span><\/span>}<\/span>]<\/span>
    \n conversation.<\/span>extend(<\/span>messages)<\/span>
    \n if<\/span> self.<\/span>response_model is<\/span> None<\/span>:<\/span>
    \n raise<\/span> ValueError(<\/span>"\u54cd\u5e94\u6a21\u578b\u5c1a\u672a\u521b\u5efa\u3002\u8bf7\u5148\u8c03\u7528 create_response_model()\u3002"<\/span>)<\/span><\/p>\n

    # \u83b7\u53d6\u804a\u5929\u6d88\u606f\u683c\u5f0f\u7684 JSON \u6a21\u5f0f\u3002<\/span>
    \n format_schema =<\/span> self.<\/span>response_model.<\/span>model_json_schema(<\/span>)<\/span><\/p>\n

    # \u8c03\u7528 Ollama（\u5047\u8bbe\u662f\u540c\u6b65\u7684）\u5e76\u89e3\u6790\u54cd\u5e94\u3002<\/span>
    \n response =<\/span> chat(<\/span>
    \n model=<\/span>"gemma3:latest"<\/span>,<\/span>
    \n messages=<\/span>conversation,<\/span>
    \n format<\/span>=<\/span>format_schema
    \n )<\/span>
    \n print<\/span>(<\/span>"Ollama \u54cd\u5e94"<\/span>,<\/span> response.<\/span>message.<\/span>content)<\/span>
    \n response_obj =<\/span> self.<\/span>response_model.<\/span>model_validate_json(<\/span>response.<\/span>message.<\/span>content)<\/span>
    \n maybe_tool =<\/span> response_obj.<\/span>tool<\/p>\n

    if<\/span> maybe_tool:<\/span>
    \n function_name =<\/span> maybe_tool.<\/span>__class__.<\/span>__name__.<\/span>lower(<\/span>)<\/span>
    \n func_args =<\/span> maybe_tool.<\/span>model_dump(<\/span>)<\/span>
    \n # \u4f7f\u7528 asyncio.to_thread \u5728\u7ebf\u7a0b\u4e2d\u8c03\u7528\u540c\u6b65\u7684 call_tool \u65b9\u6cd5\u3002<\/span>
    \n output =<\/span> await<\/span> asyncio.<\/span>to_thread(<\/span>self.<\/span>call_tool,<\/span> function_name,<\/span> func_args)<\/span>
    \n return<\/span> output
    \n else<\/span>:<\/span>
    \n print<\/span>(<\/span>"\u54cd\u5e94\u4e2d\u672a\u68c0\u6d4b\u5230\u5de5\u5177\u3002\u8fd4\u56de\u7eaf\u6587\u672c\u54cd\u5e94\u3002"<\/span>)<\/span>
    \n return<\/span> response_obj.<\/span>response<\/p>\n

    async<\/span> def<\/span> main<\/span>(<\/span>)<\/span>:<\/span>
    \n server_parameters =<\/span> StdioServerParameters(<\/span>
    \n command=<\/span>"uv"<\/span>,<\/span>
    \n args=<\/span>[<\/span>"run"<\/span>,<\/span> "python"<\/span>,<\/span> "server.py"<\/span>]<\/span>,<\/span>
    \n cwd=<\/span>str<\/span>(<\/span>Path.<\/span>cwd(<\/span>)<\/span>)<\/span>
    \n )<\/span><\/p>\n

    # \u521b\u5efa\u6301\u4e45\u4f1a\u8bdd\u3002<\/span>
    \n persistent_session =<\/span> OllamaMCP(<\/span>server_parameters)<\/span><\/p>\n

    # \u7b49\u5f85\u4f1a\u8bdd\u5b8c\u5168\u521d\u59cb\u5316\u3002<\/span>
    \n if<\/span> persistent_session.<\/span>initialized.<\/span>wait(<\/span>timeout=<\/span>30<\/span>)<\/span>:<\/span>
    \n print<\/span>(<\/span>"\u5df2\u51c6\u5907\u597d\u8c03\u7528\u5de5\u5177\u3002"<\/span>)<\/span>
    \n else<\/span>:<\/span>
    \n print<\/span>(<\/span>"\u9519\u8bef：\u521d\u59cb\u5316\u8d85\u65f6\u3002"<\/span>)<\/span><\/p>\n

    # \u6839\u636e\u83b7\u53d6\u7684\u5de5\u5177\u521b\u5efa\u52a8\u6001\u54cd\u5e94\u6a21\u578b\u3002<\/span>
    \n persistent_session.<\/span>create_response_model(<\/span>)<\/span><\/p>\n

    # \u4e3a Ollama \u51c6\u5907\u6d88\u606f\u3002<\/span><\/p>\n

    messages =<\/span> [<\/span>
    \n {<\/span>
    \n "role"<\/span>:<\/span> "system"<\/span>,<\/span>
    \n "content"<\/span>:<\/span> (<\/span>
    \n "\u4f60\u662f\u4e00\u4e2a\u542c\u8bdd\u7684\u52a9\u624b，\u4e0a\u4e0b\u6587\u4e2d\u6709\u5de5\u5177\u5217\u8868\u3002 "<\/span>
    \n "\u4f60\u7684\u4efb\u52a1\u662f\u4f7f\u7528\u8be5\u51fd\u6570\u6765\u83b7\u53d6\u795e\u5947\u7684\u8f93\u51fa\u3002 "<\/span>
    \n "\u4e0d\u8981\u81ea\u5df1\u751f\u6210\u795e\u5947\u7684\u8f93\u51fa\u3002 "<\/span>
    \n "\u7528\u7b80\u77ed\u7684\u6d88\u606f\u56de\u590d，\u63d0\u5230\u5c06\u8c03\u7528\u8be5\u51fd\u6570， "<\/span>
    \n "\u4f46\u4e0d\u8981\u63d0\u4f9b\u51fd\u6570\u8f93\u51fa\u672c\u8eab\u3002 "<\/span>
    \n "\u5c06\u8be5\u7b80\u77ed\u6d88\u606f\u653e\u5728 'response' \u5c5e\u6027\u4e2d\u3002 "<\/span>
    \n "\u4f8b\u5982：'\u597d\u7684，\u6211\u5c06\u8fd0\u884c magicoutput \u51fd\u6570\u5e76\u8fd4\u56de\u8f93\u51fa\u3002' "<\/span>
    \n "\u540c\u65f6\u5728 'tool' \u5c5e\u6027\u4e2d\u586b\u5199\u6b63\u786e\u7684\u53c2\u6570\u3002 "<\/span>
    \n )<\/span>
    \n }<\/span>,<\/span>
    \n {<\/span>
    \n "role"<\/span>:<\/span> "user"<\/span>,<\/span>
    \n "content"<\/span>:<\/span> "\u4f7f\u7528\u8be5\u51fd\u6570\u83b7\u53d6\u795e\u5947\u7684\u8f93\u51fa，\u53c2\u6570\u4e3a (obj1 = Wombat \u548c obj2 = Dog)"<\/span>
    \n }<\/span>
    \n ]<\/span><\/p>\n

    # \u8c03\u7528 Ollama \u5e76\u5904\u7406\u54cd\u5e94\u3002<\/span>
    \n result =<\/span> await<\/span> persistent_session.<\/span>ollama_chat(<\/span>messages)<\/span>
    \n print<\/span>(<\/span>"\u6700\u7ec8\u7ed3\u679c:"<\/span>,<\/span> result)<\/span><\/p>\n

    # \u5173\u95ed\u6301\u4e45\u4f1a\u8bdd\u3002<\/span>
    \n persistent_session.<\/span>shutdown(<\/span>)<\/span><\/p>\n

    if<\/span> __name__ ==<\/span> "__main__"<\/span>:<\/span>
    \n asyncio.<\/span>run(<\/span>main(<\/span>)<\/span>)<\/span><\/p>\n

    \u4f60\u53ef\u4ee5\u770b\u5230\u8f93\u51fa\u5b8c\u7f8e\u65e0\u7f3a\u3002\u6211\u4eec\u6536\u5230\u4e86\u4e00\u4e2a\u5305\u542b\u7b80\u77ed\u6d88\u606f\u7684 response，\u4ee5\u53ca\u5c06\u53d1\u9001\u5230 MCP \u670d\u52a1\u5668\u7684 tool \u548c\u53c2\u6570\u3002\u6700\u540e，\u6211\u4eec\u5f97\u5230\u4e86\u670d\u52a1\u5668\u7684\u8f93\u51fa，\u5982\u4e0b\u6240\u793a：<\/p>\n

    [<\/span>04<\/span>\/<\/span>15<\/span>\/<\/span>25<\/span> 09<\/span>:<\/span>52<\/span>:<\/span>49<\/span>]<\/span> INFO \u6b63\u5728\u542f\u52a8\u670d\u52a1\u5668 "TestServer"<\/span>.<\/span>.<\/span>.<\/span> server.<\/span>py:<\/span>171<\/span>
    \n INFO \u6b63\u5728\u5904\u7406\u8bf7\u6c42\u7c7b\u578b server.<\/span>py:<\/span>534<\/span>
    \n ListToolsRequest
    \n\u5df2\u51c6\u5907\u597d\u8c03\u7528\u5de5\u5177\u3002
    \nOllama \u54cd\u5e94 {<\/span>
    \n"response"<\/span>:<\/span> "\u597d\u7684，\u6211\u5c06\u8fd0\u884c magicoutput，\u53c2\u6570\u4e3a obj1 = Wombat \u548c obj2 = Dog\u3002"<\/span>,<\/span>
    \n"tool"<\/span>:<\/span> {<\/span>"obj1"<\/span>:<\/span> "Wombat"<\/span>,<\/span> "obj2"<\/span>:<\/span> "Dog"<\/span>}<\/span>
    \n}<\/span><\/p>\n

    [<\/span>04<\/span>\/<\/span>15<\/span>\/<\/span>25<\/span> 09<\/span>:<\/span>52<\/span>:<\/span>52<\/span>]<\/span> INFO \u6b63\u5728\u5904\u7406\u8bf7\u6c42\u7c7b\u578b server.<\/span>py:<\/span>534<\/span>
    \n CallToolRequest
    \n\u6700\u7ec8\u7ed3\u679c:<\/span> meta=<\/span>None<\/span> content=<\/span>[<\/span>TextContent(<\/span>type<\/span>=<\/span>'text'<\/span>,<\/span> text=<\/span>'WomboWombat'<\/span>,<\/span> annotations=<\/span>None<\/span>)<\/span>]<\/span> isError=<\/span>False<\/span>
    \n\u6301\u4e45 MCP \u4f1a\u8bdd\u5df2\u5173\u95ed\u3002<\/p>\n

    \u66f4\u591a\u7cbe\u5f69\u5185\u5bb9<\/h3>\n

    \u5982\u679c\u4f60\u771f\u7684\u559c\u6b22\u8fd9\u4e9b\u535a\u5ba2，\u6211\u6562\u80af\u5b9a\u4f60\u4e5f\u4f1a\u559c\u6b22\u63a5\u4e0b\u6765\u7684\u5185\u5bb9\u3002\u4e00\u5b9a\u8981\u4e3a\u5b83\u4eec\u70b9\u8d5e，\u652f\u6301\u6bcf\u7bc7\u535a\u5ba2\u6240\u9700\u7684\u65f6\u95f4\u548c\u52aa\u529b！<\/p>\n

    \u603b\u7ed3<\/h3>\n

    \u5c31\u8fd9\u6837，\u6211\u4eec\u521a\u521a\u5b8c\u6210\u4e86\u4e00\u79cd\u5c06 Ollama \u4e2d\u7684\u5c0f\u578b\u6a21\u578b\u4e0e\u672c\u5730 MCP \u670d\u52a1\u5668\u8fde\u63a5\u7684\u65b9\u6cd5\u3002<\/p>\n

    \u6211\u4eec\u4ece\u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u7684 MCP \u670d\u52a1\u5668\u5f00\u59cb，\u5b83\u5305\u542b\u4e00\u4e2a\u5de5\u5177\u3002\u7136\u540e\u6211\u4eec\u6784\u5efa\u4e86\u4e00\u4e2a\u5ba2\u6237\u7aef，\u7528\u4e8e\u8fde\u63a5\u5230\u670d\u52a1\u5668，\u83b7\u53d6\u5de5\u5177\u5b9a\u4e49，\u5e76\u5c06\u5b83\u4eec\u8f6c\u6362\u4e3a Pydantic \u6a21\u578b\u3002\u5728\u6b64\u57fa\u7840\u4e0a，\u6211\u4eec\u901a\u8fc7 format \u5b57\u6bb5\u5c06\u54cd\u5e94\u6a21\u578b\u4f20\u9012\u7ed9 Ollama\u3002\u6a21\u578b\u8fd4\u56de\u4e86\u4e00\u4e2a\u7ed3\u6784\u5316\u54cd\u5e94，\u6211\u4eec\u4f7f\u7528\u540e\u53f0\u7ebf\u7a0b\u548c\u961f\u5217\u5728\u5ba2\u6237\u7aef\u5904\u7406\u5de5\u5177\u8c03\u7528\u3002<\/p>\n

    \u70b9\u8d5e\u5e76\u5173\u6ce8\u6211，\u83b7\u53d6\u66f4\u591a\u7c7b\u4f3c\u5185\u5bb9\u3002\u540e\u671f\u5c06\u6269\u5c55\u8fd9\u4e2a\u529f\u80fd，\u6784\u5efa\u4e00\u4e2a\u5b8c\u6574\u7684\u4ee3\u7406\u5faa\u73af，\u5e76\u5f00\u59cb\u4f7f\u7528\u771f\u5b9e\u7684 MCP \u670d\u52a1\u5668\u521b\u5efa\u6709\u7528\u7684\u5de5\u4f5c\u6d41\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

    \u6587\u7ae0\u6d4f\u89c8\u9605\u8bfb842\u6b21\uff0c\u70b9\u8d5e42\u6b21\uff0c\u6536\u85cf36\u6b21\u3002\u672c\u6587\u8be6\u7ec6\u4ecb\u7ecd\u4e86\u5982\u4f55\u5c06 Ollama \u4e2d\u7684\u5c0f\u578b\u8bed\u8a00\u6a21\u578b\u4e0e\u672c\u5730 MCP \u670d\u52a1\u5668\u8fdb\u884c\u96c6\u6210\u3002\u901a\u8fc7\u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u7684 MCP \u670d\u52a1\u5668\u5e76\u66b4\u9732\u5de5\u5177\uff0c\u518d\u5229\u7528\u5ba2\u6237\u7aef\u8fde\u63a5\u670d\u52a1\u5668\u83b7\u53d6\u5de5\u5177\u5b9a\u4e49\u5e76\u8f6c\u6362\u4e3a Pydantic \u6a21\u578b\uff0c\u6700\u7ec8\u5c06\u8fd9\u4e9b\u6a21\u578b\u4f20\u9012\u7ed9 Ollama\u3002Ollama \u6839\u636e\u5b9a\u4e49\u751f\u6210\u7ed3\u6784\u5316\u54cd\u5e94\uff0c\u5ba2\u6237\u7aef\u901a\u8fc7\u540e\u53f0\u7ebf\u7a0b\u548c\u961f\u5217\u8c03\u7528\u670d\u52a1\u5668\u5de5\u5177\u3002\u6587\u7ae0\u901a\u8fc7\u4ee3\u7801\u793a\u4f8b\u548c\u8be6\u7ec6\u6b65\u9aa4\uff0c\u5c55\u793a\u4e86\u6574\u4e2a\u96c6\u6210\u8fc7\u7a0b\uff0c\u5e76\u6210\u529f\u5b9e\u73b0\u4e86\u4ece\u7528\u6237\u8bf7\u6c42\u5230\u5de5\u5177\u8c03\u7528\u518d\u5230\u83b7\u53d6\u7ed3\u679c\u7684\u5b8c\u6574\u6d41\u7a0b\u3002<\/p>\n","protected":false},"author":2,"featured_media":8641,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[74,66,71,92,73,43],"topic":[],"class_list":["post-8642","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-agent","tag-ai","tag-ai-agent","tag-github","tag-mcp","tag-43"],"yoast_head":"\n\u4ece\u96f6\u5f00\u59cb\u6784\u5efa Ollama + MCP \u670d\u52a1\u5668 - 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