io.github.jongalloway/dotnet-mcp

AI assistant access to .NET SDK for projects, packages, building, testing, and development tools.

29 GitHub

No known CVEs

MIT license

Actively maintained

Last commit 6d ago

Works with most clients

Transport: stdio, sse, http

0 tools

Grade F

MCPpedia last refreshed this data 5h ago

Edit this pageView history

AI / ML

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "dotnet": {
      "args": [
        "Community.Mcp.DotNet@1.*",
        "--yes"
      ],
      "command": "dnx"
    }
  }
}

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Read me

What io.github.jongalloway/dotnet-mcp does

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.

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

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Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

43/100across 5 weighted dimensions

How we score →

0255075100

−57

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

No package registry to scan.

Community

Reviews

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Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.jongalloway/dotnet-mcp safe to use?: io.github.jongalloway/dotnet-mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under MIT.
How do I install io.github.jongalloway/dotnet-mcp?: io.github.jongalloway/dotnet-mcp supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What AI clients work with io.github.jongalloway/dotnet-mcp?: io.github.jongalloway/dotnet-mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is io.github.jongalloway/dotnet-mcp actively maintained?: io.github.jongalloway/dotnet-mcp is actively maintained — last commit was 6 days ago. It has 29 GitHub stars.

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Community

Discussion

Start a conversation

Ask a question, share a tip, or report an issue.

Has anyone used this with Cursor?How do you handle auth?Any alternatives?

What is This?

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 dnx or dotnet run.

Why Use It?

🚀 Faster Development

Instead of remembering exact dotnet commands and syntax, just ask:

"Create a new web API project with Entity Framework"

"Add the Serilog package and configure structured logging"

"Update all my NuGet packages to the latest versions"

🧠 Smarter AI Assistance

Your AI assistant gets direct access to:

All installed .NET templates and their parameters

NuGet package search and metadata

Framework version information (including LTS status)

Your solution and project structure

⚡ Token-Efficient by Design

Instead of relying on the LLM to infer state by reading and re-readin

Frequently Asked Questions

Is io.github.jongalloway/dotnet-mcp safe to use?

io.github.jongalloway/dotnet-mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under MIT.

How do I install io.github.jongalloway/dotnet-mcp?

io.github.jongalloway/dotnet-mcp supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What AI clients work with io.github.jongalloway/dotnet-mcp?

io.github.jongalloway/dotnet-mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.

Is io.github.jongalloway/dotnet-mcp actively maintained?

io.github.jongalloway/dotnet-mcp is actively maintained — last commit was 6 days ago. It has 29 GitHub stars.

.NET MCP Server

Quick Install

Click to install in your preferred environment:

Note: Quick install requires .NET 10 SDK.

What is This?

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 dnx or dotnet 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

Why Use It?

🚀 Faster Development

Instead of remembering exact dotnet commands and syntax, just ask:

"Create a new web API project with Entity Framework"
"Add the Serilog package and configure structured logging"
"Update all my NuGet packages to the latest versions"

🧠 Smarter AI Assistance

Your AI assistant gets direct access to:

All installed .NET templates and their parameters
NuGet package search and metadata
Framework version information (including LTS status)
Your solution and project structure

⚡ Token-Efficient by Design

Instead of relying on the LLM to infer state by reading and re-readin

... View full README on GitHub