MCP越来越火了,各大模型公司也在陆陆续续支持MCP了,OpenAI在前不久声明对MCP的支持,同时社区的SDK也来了,今天就用ModelContextProtocol来创建服务端和客户端,并且找通他们。与此同时,也不能落下SK,看看SK怎么使用MCP。
MCP越来越火了,各大模型公司也在陆陆续续支持MCP了,OpenAI在前不久声明对MCP的支持,同时社区的SDK也来了,今天就用ModelContextProtocol来创建服务端和客户端,并且找通他们。与此同时,也不能落下SK,看看SK怎么使用MCP。
先看Server端:
项目文件如下:
Program.cs:
using ModelContextProtocol;
var builder = WebApplication.CreateBuilder(args);
builder.Services.AddMcpServer()
.WithStdioServerTransport()
.WithToolsFromAssembly();
var app = builder.Build();
app.MapGet("/", () => "Hello World!");
app.MapMcpSse();
app.Run();
工具定义:
using ModelContextProtocol.Server; using System.ComponentModel;
namespace MCPOrderTool.Tools;
[McpServerToolType] public static class OrderTool [McpServerTool("queryOrder"), Description("按开始日期和结速日期查询订单")] public static List<Order> QueryList(DateTime? beginTime, DateTime? endTime) Console.WriteLine("-------------参数-------------"); Console.ForegroundColor = ConsoleColor.Green; Console.WriteLine($"BeginTime:{beginTime},EndTime:{endTime}"); Console.ResetColor(); Console.WriteLine("-------------参数-------------"); if (beginTime is null || endTime is null) beginTime = DateTime.Now; endTime = DateTime.Now; return new List<Order> new Order("NO000001", "Order1", DateTime.Now.ToString("yyyy-MM-dd"), "Pending"), new Order("NO000002", "Order2", DateTime.Now.ToString("yyyy-MM-dd"), "Completed"), new Order("NO000003", "Order3", DateTime.Now.ToString("yyyy-MM-dd"), "Pending"), new Order("NO000004", "Order4", DateTime.Now.ToString("yyyy-MM-dd"), "Completed"), new Order("NO000005", "Order5", DateTime.Now.ToString("yyyy-MM-dd"), "Pending"), new Order("NO000006", "Order6", DateTime.Now.ToString("yyyy-MM-dd"), "Completed"), new Order("NO000007", "Order7", DateTime.Now.ToString("yyyy-MM-dd"), "Pending"), new Order("NO000008", "Order8", DateTime.Now.ToString("yyyy-MM-dd"), "Completed"), new Order("NO000009", "Order9", DateTime.Now.ToString("yyyy-MM-dd"), "Pending"), new Order("NO000010", "Order10", DateTime.Now.ToString("yyyy-MM-dd"), "Completed"),
public record Order(string OrderId, string OrderName, string OrderTime, string OrderStatus);
MCP服务端Map定义:
using ModelContextProtocol.Protocol.Messages; using ModelContextProtocol.Server; using ModelContextProtocol.Utils.Json; using Microsoft.Extensions.Options; using ModelContextProtocol.Protocol.Transport;
public static class McpEndpointRouteBuilderExtensions public static IEndpointConventionBuilder MapMcpSse(this IEndpointRouteBuilder endpoints) IMcpServer? server = null; SseResponseStreamTransport? transport = null; var loggerFactory = endpoints.ServiceProvider.GetRequiredService<ILoggerFactory>(); var mcpServerOptions = endpoints.ServiceProvider.GetRequiredService<IOptions<McpServerOptions>>();
var routeGroup = endpoints.MapGroup("");
routeGroup.MapGet("/sse", async (HttpResponse response, CancellationToken requestAborted) =\>
await using var localTransport = transport = new SseResponseStreamTransport(response.Body);
await using var localServer = server = McpServerFactory.Create(transport, mcpServerOptions.Value, loggerFactory, endpoints.ServiceProvider);
await localServer.StartAsync(requestAborted);
response.Headers.ContentType \= "text/event-stream";
response.Headers.CacheControl \= "no-cache";
await transport.RunAsync(requestAborted);
catch (OperationCanceledException) when (requestAborted.IsCancellationRequested)
Console.WriteLine("closed");
routeGroup.MapPost("/message", async context =\>
if (transport is null)
await Results.BadRequest("Connect to the /sse endpoint before sending messages.").ExecuteAsync(context);
return;
var message = await context.Request.ReadFromJsonAsync<IJsonRpcMessage\>(McpJsonUtilities.DefaultOptions, context.RequestAborted);
if (message is null)
await Results.BadRequest("No message in request body.").ExecuteAsync(context);
return;
await transport.OnMessageReceivedAsync(message, context.RequestAborted);
context.Response.StatusCode \= StatusCodes.Status202Accepted;
await context.Response.WriteAsync("Accepted");
return routeGroup;
下面是Client使用:
项目文件:
Program.cs文件:
using Azure.Core; using Microsoft.Extensions.AI; using Microsoft.Extensions.DependencyInjection; using Microsoft.Extensions.Logging; using Microsoft.SemanticKernel; using Microsoft.SemanticKernel.Connectors.OpenAI; using ModelContextProtocol.Client; using ModelContextProtocol.Configuration; using ModelContextProtocol.Protocol.Transport; using ModelContextProtocol.Protocol.Types; using ModelContextProtocol.SemanticKernel.Extensions; using ModelContextProtocol.SemanticKernel.Options; using ModelContextProtocol.Server; using OpenAI; using System.ComponentModel; using System.Text.Json; using System.Text.Json.Serialization;
var key = File.ReadAllText("c:/gpt/key.txt");
while (true) Console.WriteLine("==========================================================="); Console.WriteLine("1、获取工具列表 2、Client调用工具 3、SK调用工具 0、退出"); Console.WriteLine("==========================================================="); var no = Console.ReadLine(); switch (no) case "1": await MCPClientToolsListAsync(); break; case "2":
await MCPClientAsync();
break;
case "3":
await SKClientAsync();
break;
case "0":
return;
async Task MCPClientToolsListAsync() var serverConfig = new McpServerConfig Id = "QueryOrder", Name = "QueryOrder", TransportType = TransportTypes.Sse, Location = "http://localhost:3001/sse" var clientOptions = new McpClientOptions ClientInfo = new() Name = "QueryOrderClient", Version = "0.0.1", var mcpClient = await McpClientFactory.CreateAsync(serverConfig, clientOptions); Console.WriteLine("获取Tools:"); var tools = await mcpClient.ListToolsAsync();
foreach (var tool in tools)
Console.WriteLine($"{tool.Name},{tool.Description}");
Console.WriteLine();
async Task MCPClientAsync() var serverConfig = new McpServerConfig Id = "QueryOrder", Name = "MCPOrderTool", TransportType = TransportTypes.Sse, Location = "http://localhost:3001/sse" var clientOptions = new McpClientOptions ClientInfo = new() Name = "QueryOrderClient", Version = "0.0.1", var mcpClient = await McpClientFactory.CreateAsync(serverConfig, clientOptions); var functions = await mcpClient.ListToolsAsync(); IChatClient chatClient = new OpenAIClient(key).AsChatClient("gpt-4o-mini") .AsBuilder().UseFunctionInvocation().Build(); var response = chatClient.GetStreamingResponseAsync( "查询本周的订单", new() Tools = [.. functions], await foreach (var item in response) Console.Write(item.Text); Console.WriteLine();
async Task SKClientAsync() var builder = Kernel.CreateBuilder(); builder.Services.AddLogging(c => c.AddDebug().SetMinimumLevel(LogLevel.Trace));
builder.Services.AddOpenAIChatCompletion(
serviceId: "openai",
modelId: "gpt-4o-mini",
apiKey: key);
var kernel = builder.Build();
kernel.Plugins.AddFromType<TimeInformationPlugin\>();
await kernel.Plugins.AddMcpFunctionsFromSseServerAsync("MCPOrderTool", "http://localhost:3001/sse");
var executionSettings = new OpenAIPromptExecutionSettings
Temperature \= 0,
FunctionChoiceBehavior \= FunctionChoiceBehavior.Auto()
var prompt = "请查询本月的订单";
var result = kernel.InvokePromptStreamingAsync(prompt, new(executionSettings));
await foreach (var item in result)
Console.Write(item.ToString());
Console.WriteLine();
public class TimeInformationPlugin [KernelFunction, Description("获取当前的 UTC 时间。")] public string GetCurrentUtcTime() => DateTime.UtcNow.ToString("R");
下面是运行结果:1、列举服务端的工具信息,2、是用普通方式调用MCP服务端,这时注意右边红色的框,时间是2023年,取的是模型时间 3、是用SK的方式调用工具,同时SK还添加当前时间插件,看蓝色框,取的是当前时间,正确。