1 using System.ComponentModel;
 2 using ModelContextProtocol.Server;
 3 
 4 namespace test_server.tools;
 5 
 6 [McpServerToolType]
 7 public class FileTool
 8 {
 9     [McpServerTool(Name = "文件查找"), Description("在指定的目錄中查找文件")]
10     public string FindFileInDirectory([Description("查找文件的基礎目錄")] string baseDirectory
11     , [Description("需要查找的文件名")] string fileName)
12     {
13         try
14         {
15             if (!Directory.Exists(baseDirectory))
16             {
17                 return $"查詢的目錄{baseDirectory}不存在!";
18             }
19             var fs = Directory.GetFiles(baseDirectory, $"*{fileName}*", SearchOption.AllDirectories);
20             if (fs.Length == 0)
21             {
22                 return $"在目錄{baseDirectory}中沒有找到文件名包含{fileName}的任何文件!";
23             }
24             return $"在目錄{baseDirectory}中找到文件名包含{fileName}的文件{fs.Length}個 :\r\n{string.Join("\r\n", fs)}";
25         }
26         catch (System.Exception ex)
27         {
28             Console.WriteLine(ex.Message + "\n" + ex.StackTrace);
29             return ex.Message;
30         }
31     }
32 }

 1 using Microsoft.AspNetCore.Builder;
 2 using Microsoft.Extensions.DependencyInjection;
 3 
 4 
 5 var builder = WebApplication.CreateBuilder(args);
 6 builder.Services.AddMcpServer()
 7     .WithHttpTransport()
 8     .WithToolsFromAssembly();
 9 var app = builder.Build();
10 
11 app.MapGet("/run", () => "Hello MCP Server!");
12 
13 app.MapMcp();
14 app.Run();

 1 var sseTran = new SseClientTransport(new SseClientTransportOptions
 2 {
 3     Name = "Test Tools",
 4     Endpoint = new Uri("http://localhost:5000")
 5 
 6 });
 7 
 8 await using var mcpClient = await McpClientFactory.CreateAsync(sseTran);
 9 var mcpTools = await mcpClient.ListToolsAsync();
10 
11 //List<OllamaSharp.Models.Chat.Tool> tools = GetOllamaToolsFromMCPTools(mcpTools);
12 var tools = new List<OllamaSharp.ModelContextProtocol.Server.McpClientTool>();
13 
14 foreach (var tool in mcpTools)
15 {
16     Console.WriteLine($"{tool.Name} ({tool.Description})");
17     tools.Add(new OllamaSharp.ModelContextProtocol.Server.McpClientTool(tool, mcpClient));
18 }
19 
20 HttpClient hc = new HttpClient();
21 // set up the client
22 hc.Timeout = TimeSpan.FromMinutes(5);
23 hc.BaseAddress = uri;
24 //這里未必需要httpClient.因為我本地模型生成比較慢需要設個超時,所以才用了它
25 var ollama = new OllamaApiClient(hc, "qwen3:4b");
26 ollama.Config.Uri = uri;
27 
28 var chatOptions = new ChatOptions()
29 {
30     Tools = [.. mcpTools],
31     Temperature = 0.6f,
32     AllowMultipleToolCalls = true,
33     ToolMode = ChatToolMode.Auto,
34     MaxOutputTokens = 256,//這個不設置 超級多廢話(我當前用的是qwen3 4B)
35 
36 };
37 
38 var chat = new Chat(ollama);
39 while (true)
40 {
41 
42  System.Console.InputEncoding = System.Text.Encoding.UTF8;
43     Console.Write("User >");
44     string content = Console.ReadLine();
45     if (String.IsNullOrWhiteSpace(content))
46     {
47         continue;
48     }
49     Console.Write("AI >");
50     await foreach (var answerToken in chat.SendAsync(content, tools))
51         Console.Write(answerToken);
52 }