Built an MCP server for .NET developers working with AI

Ahod26 — Thu, 18 Dec 2025 18:19:03 +0000

If you're building AI applications with .NET or constantly learning, you've noticed LLMs confidently give you code that doesn't compile or completely wrong explanations about how things work.

I got tired of it, so I built DotNet AI MCP Server.

What it does:

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Connects your favorite client to two sources:

Live GitHub repos - Semantic Kernel, OpenAI .NET SDK, MCP C# SDK, AutoGen, and more. Real code and documentation from the actual repos.
Microsoft Learn - I proxied the official Microsoft Learn MCP tools but optimized them: better token efficiency, clearer descriptions, and improved argument names so the LLM actually picks the right tool.

The key difference:

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Zero prompt engineering. Just ask your question naturally - "How do Semantic Kernel agents work?" or "Show me how to build an MCP server with C#" - and the tools trigger automatically. No need to tell it "use this tool" or "search the documentation" like other MCP servers require.

It uses progressive file exposure (repos → folders → files → content) which saves tokens and doesn't flood your context with irrelevant data.

Currently tracking:

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AI Frameworks & LLM SDKs: Semantic Kernel • AutoGen • Kernel Memory • OpenAI .NET • Google Gemini • Anthropic Claude • MCP C# SDK • LangChain.NET • OllamaSharp

Vector Database C# SDKs: Pinecone • Qdrant • Weaviate • Redis Stack

Setup takes 30 seconds. If it helps, drop a ⭐ so other .NET devs can find it.

Try it: https://github.com/Ahod26/dotnet-ai-mcp-server

Roast me if it sucks. 🔥

Forem: Ahod26

Built an MCP server for .NET developers working with AI

What it does:

The key difference:

Currently tracking: