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Health: ActiveRecent health check succeeded.Last checked 9/7/2026, 8:51:03 PM

.NET MCP Server

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository33 GitHub StarsTotal stargazers on GitHub for the source repository (33 stars).Visit Website

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

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "net-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "net-mcp-server"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

.NET MCP Server

Build and Test Coverage Dependabot NuGet Published to MCP Registry CodeQL Advanced

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 moreβ€”all through natural language.

Quick Install

Click to install in your preferred environment: VS Code - Install .NET MCP VS Code Insiders - Install .NET MCP Visual Studio - Install .NET MCP

Note: Quick install requires .NET 10 SDK.

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.

mermaid
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?

πŸš€ 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-reading console output, the server exposes purpose-built .NET tools with structured inputs and outputs. In practice, this typically means fewer tokens per task and less back-and-forth.

  • Deterministic tool schemas reduce prompt/response overhead
  • machineReadable: true returns structured JSON (no log scraping)
  • MCP Resources provide lightweight metadata without running commands

🎯 Why Not Just Let the AI Call dotnet Directly?

The .NET MCP Server provides context and intelligence that raw CLI execution cannot:

1. Template Discovery & Validation

  • With MCP: AI knows exactly which templates are installed (console, webapi, blazor, etc.) and their parameters
  • Without MCP: AI guesses template names and parameters, often getting them wrong

2. Framework Intelligence

  • With MCP: AI knows which .NET versions are installed, which are LTS, and can recommend appropriately
  • Without MCP: AI suggests net8.0 when you only have net10.0 installed, leading to errors

3. Rich Tool Descriptions

  • With MCP: Each tool has detailed parameter descriptions and constraints (e.g., "configuration must be Debug or Release")
  • Without MCP: AI constructs commands from general knowledge, missing version-specific changes

4. Parameter Information

  • With MCP: AI sees template parameters like --use-controllers, --auth, framework options
  • Without MCP: AI doesn't know what optional parameters exist for each template

5. Package Search Integration

  • With MCP: AI can search NuGet.org to find exact package names and versions
  • Without MCP: AI guesses package names, often suggesting outdated or incorrect ones

6. Structured Error Handling with Enhanced Diagnostics

  • With MCP: Errors are parsed and enriched with explanations, documentation links, and suggested fixes
  • Without MCP: AI gets raw stderr output and may misinterpret errors

The server provides enhanced error diagnostics for 52 common error codes:

  • Plain English explanations of what went wrong
  • Direct links to official Microsoft documentation
  • Specific suggested fixes with commands to resolve issues
  • Support for CS####, MSB####, NU####, and NETSDK#### error codes

See Error Diagnostics Documentation for details.

7. MCP Resources

MCP Resources provide read-only access to structured metadata about your .NET environment:

  • dotnet://sdk-info - Information about installed .NET SDKs (versions and paths)
  • dotnet://runtime-info - Information about installed .NET runtimes (versions and types)
  • dotnet://templates - Complete catalog of installed .NET templates with metadata
  • dotnet://frameworks - Information about supported .NET frameworks (TFMs) including LTS status
  • dotnet://workspace - Workspace snapshot with solution, projects, target frameworks, and package counts

This enables AI assistants to:

  • Answer questions without executing commands ("What .NET versions do I have installed?")
  • Provide context-aware suggestions based on your actual environment
  • Access structured JSON data more efficiently than parsing CLI output
  • Reference official .NET metadata for accurate recommendations

Example: Using resources for context-aware assistance

text
❌ Without Resources:
User: "What .NET versions do I have?"
AI: Executes dotnet --list-sdks and parses output
User: "Which is LTS?"
AI: Executes dotnet --info and tries to parse support info

βœ… With Resources:
User: "What .NET versions do I have?"
AI: Reads dotnet://sdk-info resource (no execution needed)
    Returns: .NET 8.0 (LTS), .NET 9.0 (STS), .NET 10.0 (LTS)
User: "Which is LTS?"
AI: Already knows from resource metadata - .NET 8.0, .NET 10.0

Example: Creating a Blazor project with authentication

text
❌ Without MCP:
AI: "I'll run: dotnet new blazor --auth Individual"
Result: Error - template 'blazor' doesn't support --auth parameter

βœ… With MCP:
AI: Uses dotnet_sdk with action: "TemplateInfo" for 'blazor'
  Sees available parameters: --interactivity, --use-program-main, --empty
  Uses dotnet_sdk with action: "SearchTemplates" to find authentication templates
AI: "I'll create a Blazor Web App with authentication using the correct template..."
Result: Success - uses 'blazor' template with proper authentication configuration

✨ Consistent Results

The MCP server uses official .NET SDK APIs and CLI commands, ensuring:

  • Accurate template information from the Template Engine
  • Reliable command execution
  • Proper error handling and validation

πŸ”’ Secure by Design

Read the full README β†’View source on GitHub β†’

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Frequently Asked Questions about .NET MCP Server

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "net-mcp-server": { "command": "npx", "args": ["-y", ".NET MCP Server"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars33
GitHub Star CountTotal stargazers on GitHub representing community popularity (33 stars).
33Quality signal: Emerging Β· 33/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools11/30
Adoption & activity4/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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