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StefH/McpDotNet.Extensions.SemanticKernel

Use MCP tools as Semantic Kernel functions

装之前:没有可直接复制的命令 · 许可证未标注 · 链接可访问

第一步:这条暂时没有可执行的下一步,可先看原仓库 https://github.com/StefH/McpDotNet.Extensions.SemanticKernel

在 GitHub 查看 ↗链接已于 2026-11-12 核查 · HTTP 200 · 打开的是厂商自己的官网

我们没有从该仓库取到可核对的安装命令,也没有公开的远端端点。这两样都没有时,我们不出配置——编一条出来比不给更糟。 各客户端的接法 →

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收录自 abordage/awesome-mcp 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
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收录于 2026-11-05 · 最近见到 2026-11-14 · 共见到 10 次 · 被 10 个来源列出
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我们收录于 2026-11-05;最近见到 2026-11-14。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。

# ModelContextProtocol.SemanticKernel

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

Microsoft SemanticKernel integration for the Model Context Protocol using the csharp-sdk.
Enables seamless use of MCP tools as AI functions.
> [!NOTE]
> This project is in preview; breaking changes can be introduced without prior notice.
## 📦 NuGet packages
Stef.ModelContextProtocol.SemanticKernel |
Stef.ModelContextProtocol.Schema |
## Overview
mermaid
title: "Overview"
graph LR;
SK[Semantic Kernel 'OpenAI']
MCPClient[MCPClient 'Function Calling']
MCPServer[Local MCP Server 'server-github']
GitHub[GitHub]
SK MCPClient
MCPClient MCPServer
MCPServer GitHub
## ⚙️ Usage
Use an extension method to register a specific MCP function/tool
### Register single function or tool
csharp
// 💡Stdio
await kernel.Plugins.AddMcpFunctionsFromStdioServerAsync("GitHub", "npx", ["-y", "@modelcontextprotocol/server-github"]);
// 💡SSE
await kernel.Plugins.AddMcpFunctionsFromSseServerAsync("GitHub", new Uri("http://localhost:12345"));
### Register MCP Server(s) from Claude Desktop configuration
It's also possible to register all Stdio MCP Servers which are registered in Claude Desktop:
csharp
// 💡Stdio MCP Tools defined in claudedesktopconfig.json
await kernel.Plugins.AddToolsFromClaudeDesktopConfigAsync(cancellationToken: cts.Token);
## 💻 Full Stdio Example
### Code
csharp
var builder = Kernel.CreateBuilder();
builder.Services.AddLogging(c => c.AddDebug().SetMinimumLevel(LogLevel.Trace));
builder.Services.AddOpenAIChatCompletion(
serviceId: "openai",
modelId: "gpt-4o-mini",
apiKey: Environment.GetEnvironmentVariable("OPENAIAPIKEY")!);
var kernel = builder.Build();
// 💡 Add this line to enable MCP functions from a Stdio server named "Everything"
await kernel.Plugins.AddMcpFunctionsFromStdioServerAsync("Everything", "npx", ["-y", "@modelcontextprotocol/server-github"]);
var executionSettings = new OpenAIPromptExecutionSettings
Temperature = 0,
FunctionChoiceBehavior = FunctionChoiceBehavior.Auto()
};
var prompt = "Please call the echo tool with the string 'Hello Stef!' and give me the response as-is.";
var result = await kernel.InvokePromptAsync(prompt, new(executionSettings)).ConfigureAwait(false);
Console.WriteLine($"\n\n{prompt}\n{result}");
### Result
Please call the echo tool with the string 'Hello Stef!' and give me the response as-is.
Echo: Hello Stef!
## 💻 Full SSE (Server-Sent Events) Example
### Code
csharp
var builder = Kernel.CreateBuilder();
builder.Services.AddLogging(c => c.AddDebug().SetMinimumLevel(LogLevel.Trace));
builder.Services.AddOpenAIChatCompletion(
serviceId: "openai",
modelId: "gpt-4o-mini",
apiKey: Environment.GetEnvironmentVariable("OPENAIAPIKEY")!);
var kernel = builder.Build();
// 💡 Add this line to enable MCP functions from a Sse server named "Github"
// - Note that a server must be running at the specified URL
await kernel.Plugins.AddMcpFunctionsFromSseServerAsync("GitHub", "http://localhost:12345");
var executionSettings = new OpenAIPromptExecutionSettings
Temperature = 0,
FunctionChoiceBehavior = FunctionChoiceBehavior.Auto()
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来源
awesome · https://github.com/StefH/McpDotNet.Extensions.SemanticKernel
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