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dotnet-mcp

Implement MCP servers and clients in .NET using C# SDKs.

466|35|Updated Mar 15, 2026
Search Tags:#agent communication#llm#tool calling#mcp#ai integration#.net
One-click install
npx skills add https://github.com/managedcode/dotnet-skills --skill dotnet-mcp
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dotnet-mcp
Source: https://github.com/managedcode/dotnet-skills/tree/main/skills/dotnet-mcp
Command: npx skills add https://github.com/managedcode/dotnet-skills --skill dotnet-mcp

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill enables .NET applications to securely and efficiently communicate with AI agents by implementing the Model Context Protocol (MCP), allowing AI to leverage your tools and data.

Core Features & Use Cases

  • Expose Tools & Resources: Define and expose .NET methods as tools or data resources for AI agents to call.
  • Build AI-Enabled Apps: Integrate LLM capabilities directly into your .NET applications.
  • Use Case: An AI agent needs to check the current weather for a user. This Skill exposes a GetWeatherAsync tool that the AI can call, passing the city name, and receiving the weather data back.

Quick Start

Implement MCP servers and clients in .NET to enable secure, standardized communication between LLM applications and external tools or data sources.

Frequently Asked Questions about dotnet-mcp

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I expose .NET methods as tools for AI agents to call?▼

You can expose .NET methods as tools for AI agents by implementing Model Context Protocol (MCP) servers using C# SDKs, allowing LLM applications to securely call your defined methods and retrieve data.

What is the Model Context Protocol (MCP) used for in .NET applications?▼

The Model Context Protocol (MCP) in .NET applications is used to establish secure, standardized communication between LLM applications and external tools or data sources, facilitating seamless AI agent integration.

Can I use ASP.NET Core to build an MCP server for LLM integration?▼

Yes, you can use ASP.NET Core to build MCP servers that expose tools, resources, and prompts, enabling secure communication between your .NET applications and LLM applications.

How does an AI agent call external tools using MCP in a .NET app?▼

An AI agent calls external tools using MCP by sending standardized requests to your .NET MCP server, which processes the call and returns data like weather results from a GetWeatherAsync method.

What's the best way to connect a .NET application with an LLM for tool calling?▼

The best way to connect a .NET application with an LLM for tool calling is by implementing MCP clients and servers, which provide a standardized, secure protocol for LLM applications to leverage your external tools.

Do I need specific C# SDKs to implement MCP servers and clients?▼

Yes, implementing MCP servers and clients in .NET requires using C# SDKs to facilitate the secure, standardized communication between LLM applications and your external tools or data sources.

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