mcp-csharp-starter

Overview

This MCP server provides a comprehensive starter template for building C# applications with Model Context Protocol integration. It includes well-structured examples of all major MCP features: tools with progress updates, resource templates, and prompt definitions. The codebase demonstrates both stdio and HTTP transport options, making it suitable for both local development and remote deployment scenarios. The project follows .NET best practices with dependency injection, proper separation of concerns, and comprehensive documentation.

Try asking AI

After installing, here are 5 things you can ask your AI assistant:

• hello

  A friendly greeting tool

  Try:Say hello to AliceTry:Give me a greeting
• get_weather

  Tool returning structured weather information

  Try:What's the weather like in London?Try:Check current conditions
• ask_llm

  Tool that invokes LLM sampling to get responses

  Try:Ask an AI about the benefits of renewable energyTry:Get a summary of recent AI developments
• long_task

  Tool that runs with progress updates for long operations

  Try:Start a long calculation taskTry:Process this large dataset with progress
• load_bonus_tool

  Dynamically loads a new tool into the server

  Try:Load the bonus calculatorTry:Add the extra tools
• bonus_calculator

  Calculator that's dynamically loaded as a bonus tool

  Try:Calculate 15% of $200Try:What's 25% of 150?

Comparable tools

Installation

{
  "mcpServers": {
    "csharp-starter": {
      "command": "dotnet",
      "args": ["run", "--project", "/path/to/mcp-csharp-starter"],
      "env": {
        "DOTNET_ENVIRONMENT": "Development"
      }
    }
  }
}

FAQ

How do I add a new tool to the server?

Create a new class with the [McpServerToolType] attribute, define methods with [McpServerTool] attributes, and register the class in your server configuration.

Can I deploy this server to a cloud environment?

Yes, use the HTTP transport mode with dotnet run -- --http --port 8080, then configure reverse proxy as needed for production deployment.

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