AI assistant access to .NET SDK for projects, packages, building, testing, and development tools.
{
"mcpServers": {
"io-github-jongalloway-dotnet-mcp": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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AI assistant access to .NET SDK for projects, packages, building, testing, and development tools.
Is it safe?
No package registry to scan.
No authentication — any process on your machine can connect.
License not specified.
Is it maintained?
Last commit 5 days ago. 11 stars.
Will it work with my client?
Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
No automated test available for this server. Check the GitHub README for setup instructions.
No known vulnerabilities.
This server is missing a description. Tools and install config are also missing.If you've used it, help the community.
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Give your AI assistant superpowers for .NET development! This MCP server connects GitHub Copilot, Claude, and other AI assistants directly to the .NET SDK, enabling them to create projects, manage packages, run builds, and more—all through natural language.
Click to install in your preferred environment:
Note: Quick install requires .NET 10 SDK.
The .NET MCP Server is a Model Context Protocol (MCP) server that connects AI assistants to the .NET SDK using the Model Context Protocol. Think of it as giving your AI assistant a direct line to dotnet commands, but with intelligence and context.
Important: This package is designed exclusively as an MCP server for AI assistants. It is not intended for use as a library or for programmatic consumption in other .NET applications. The only supported use case is running it as an MCP server via
dnxordotnet run.
graph LR
A[AI Assistant<br/>Copilot/Claude] -->|Natural Language| B[.NET MCP Server]
B -->|dotnet commands| C[.NET SDK]
C -->|Results| B
B -->|Structured Response| A
style A fill:#e1f5ff
style B fill:#fff4e6
style C fill:#e8f5e9
Instead of remembering exact dotnet commands and syntax, just ask:
Your AI assistant gets direct access to:
Instead of relying on the LLM to infer state by reading and re-readin