MCPSharp

作者 afrise已验证

MCPSharp is a .NET library that helps you build Model Context Protocol (MCP) servers and clients - the standardized API protocol used by AI assistants and models.

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C#
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2026/8/23
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⚠️ 第三方软件声明

本 Skill 为第三方开源软件,独立托管于 GitHub。SkillTip 仅为信息目录,不控制或维护底层仓库。所显示的安全检查为自动化且范围有限,安装前请自行审查源码。

阅读服务条款

安装

添加到你的 Claude Code skills 目录:

# Add to your Claude Code skills
git clone https://github.com/afrise/MCPSharp

快速入门

使用 MCPSharp 等 Skills 的指南。

安全报告

已验证

上次扫描:—

{
  "status": "PASSED",
  "issues": []
}

README.md

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MCPSharp

MCPSharp is a .NET library that helps you build Model Context Protocol (MCP) servers and clients - the standardized API protocol used by AI assistants and models. With MCPSharp, you can:

  • Create MCP-compliant tools and functions that AI models can discover and use
  • Connect directly to existing MCP servers from C# code with an easy to use client
  • Expose your .NET methods as MCP endpoints with simple attributes
  • Handle MCP protocol details and JSON-RPC communication seamlessly

🚀 What's New in MCPSharp

  • Microsoft.Extensions.AI Integration: MCPSharp now integrates with Microsoft.Extensions.AI, allowing tools to be exposed as AIFunctions
  • Semantic Kernel Support: Add tools using Semantic Kernel's KernelFunctionAttribute
  • Dynamic Tool Registration: Register tools on-the-fly with custom implementation logic
  • Tool Change Notifications: Server now notifies clients when tools are added, updated, or removed
  • Complex Object Parameter Support: Better handling of complex objects in tool parameters
  • Better Error Handling: Improved error handling with detailed stack traces

When to Use MCPSharp

Use MCPSharp when you want to:

  • Create tools that AI assistants like Anthropic's Claude Desktop can use
  • Build MCP-compliant APIs without dealing with the protocol details
  • Expose existing .NET code as MCP endpoints
  • Add AI capabilities to your applications through standardized interfaces
  • Integrate with Microsoft.Extensions.AI and/or Semantic Kernel without locking into a single vendor

Features

  • Easy-to-use attribute-based API ([McpTool], [McpResource])
  • Built-in JSON-RPC support with automatic request/response handling
  • Automatic parameter validation and type conversion
  • Rich documentation support through XML comments
  • Near zero configuration required for basic usage

Prerequisites

Installation

dotnet add package MCPSharp

Quick Start

1. Define a Tool

Create a class and mark your method(s) with the [McpTool] attribute:

using MCPSharp;

public class Calculator
{
    [McpTool("add", "Adds two numbers")]  // Note: [McpFunction] is deprecated, use [McpTool] instead
    public static int Add([McpParameter(true)] int a, [McpParameter(true)] int b)
    {
        return a + b;
    }
}

2. Start the Server

await MCPServer.StartAsync("CalculatorServer", "1.0.0");

The StartAsync() method will automatically find any methods in the base assembly that are marked with the McpTool attribute. In order to add any methods that are in a referenced library, you can manually register them by calling MCPServer.Register<T>(); with T being the class containing the desired methods. If your methods are marked with Semantic Kernel attributes, this will work as well. If the client supports list changed notifications, it will be notified when additional tools are registered.

Advanced Usage

Dynamic Tool Registration

Register tools dynamically with custom implementation:

MCPServer.AddToolHandler(new Tool() 
{
    Name = "dynamicTool",
    Description = "A dynamic tool",
    InputSchema = new InputSchema {
        Type = "object",
        Required = ["input"],
        Properties = new Dictionary<string, ParameterSchema>{
            {"input", new ParameterSchema{Type="string", Description="Input value"}}
        }
    }
}, (string input) => { return $"You provided: {input}"; });

Use with Microsoft.Extensions.AI

// Client-side integration
MCPClient client = new("AIClient", "1.0", "path/to/mcp/server");
IList<AIFunction> functions = await client.GetFunctionsAsync();

This list can be plugged into the ChatOptions.Tools property for an IChatClient, Allowing MCP servers to be used seamlessly with Any IChatClient Implementation.

Semantic Kernel Integration

using Microsoft.SemanticKernel;

public class MySkillClass
{
    [KernelFunction("MyFunction")]
    [Description("Description of my function")]
    public string MyFunction(string input) => $"Processed: {input}";
}

// Register with MCPServer
MCPServer.Register<MySkillClass>();

Currently, This is the only way to make a Semantic kernel method registerable with the MCP server. If you have a use case that is not covered here, please reach out!

API Reference

Attributes

  • [McpTool] - Marks a class or method as an MCP tool

    • Optional parameters:
      • Name - The tool name (default: class/method name)
      • Description - Description of the tool
  • [McpParameter] - Provides metadata for function parameters

    • Optional parameters:
      • Description - Parameter description
      • Required - Whether the parameter is required (default: false)
  • [McpResource] - Marks a property or method as an MCP resource

    • Parameters:
      • Name - Resource name
      • Uri - Resource URI (can include templates)
      • MimeType - MIME type of the resource
      • Description - Resource description

Server Methods

  • MCPServer.StartAsync(string serverName, string version) - Starts the MCP server
  • MCPServer.Register<T>() - Registers a class containing tools or resources
  • MCPServer.AddToolHandler(Tool tool, Delegate func) - Registers a dynamic tool

Client Methods

  • new MCPClient(string name, string version, string server, string args = null, IDictionary<string, string> env = null) - Create a client instance
  • client.GetToolsAsync() - Get available tools
  • client.CallToolAsync(string name, Dictionary<string, object> parameters) - Call a tool
  • client.GetResourcesAsync() - Get available resources
  • client.GetFunctionsAsync() - Get tools as AIFunctions

XML Documentation Support

MCPSharp automatically extracts documentation from XML comments:

/// <summary>
/// Provides mathematical operations
/// </summary>
public class Calculator
{
    /// <summary>
    /// Adds two numbers together
    /// </summary>
    /// <param name="a">The first number to add</param>
    /// <param name="b">The second number to add</param>
    /// <returns>The sum of the two numbers</returns>
    [McpTool]
    public static int Add(
        [McpParameter(true)] int a,
        [McpParameter(true)] int b)
    {
        return a + b;
    }
}

Enable XML documentation in your project file:

<PropertyGroup>
    <GenerateDocumentationFile>true</GenerateDocumentationFile>
    <NoWarn>$(NoWarn);1591</NoWarn>
</PropertyGroup>

This allows you to be able to quickly change the names and descriptions of your MCP tools without having to recompile. For example, if you find the model is having trouble understanding how to use it correctly.

Migration Notes

  • [McpFunction] is deprecated and replaced with [McpTool] for better alignment with MCP standards
  • Use MCPServer.Register<T>() instead of MCPServer.RegisterTool<T>() for consistency (old method still works but is deprecated)

Contributing

We welcome contributions! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License.

常见问题

What is MCPSharp?

MCPSharp is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by afrise. MCPSharp is a .NET library that helps you build Model Context Protocol (MCP) servers and clients - the standardized API protocol used by AI assistants and models. It has 374 GitHub stars.

Is MCPSharp safe to use?

Yes. MCPSharp passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install MCPSharp?

Clone the repository with "git clone https://github.com/afrise/MCPSharp" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is MCPSharp written in?

MCPSharp is primarily written in C#. It is open-source under afrise on GitHub, so you can review or fork the full source.

Are there alternatives to MCPSharp?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh MCPSharp against similar tools.

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