Built an MCP server for .NET developers working with AI

Source: Dev.to

What it does

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 – 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

Zero prompt engineering. Just ask your question naturally – e.g., “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 prevents flooding your context with irrelevant data.

Currently tracking

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

Try it: