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:
- "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"
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
The .NET MCP Server provides context and intelligence that raw CLI execution cannot:
- 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
- With MCP: AI knows which .NET versions are installed, which are LTS, and can recommend appropriately
- Without MCP: AI suggests
net8.0when you only havenet10.0installed, leading to errors
- 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
- 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
- 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
- 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.
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
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
❌ 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
✅ With Resources:
User: "What .NET versions do I have?"
AI: Reads dotnet://sdk/list 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
❌ Without MCP:
AI: "I'll run: dotnet new blazor --auth Individual"
Result: Error - template 'blazor' doesn't support --auth parameter
✅ With MCP:
AI: Queries dotnet_template_info for 'blazor'
Sees available parameters: --interactivity, --use-program-main, --empty
Uses dotnet_template_search 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
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
- Runs locally on your machine
- No data sent to external servers
- You control what commands execute
- Standard .NET security model applies
- Automatic secret redaction to protect sensitive information in CLI output
- Connection strings, passwords, and API keys are automatically redacted
- Implemented using optimized regular expressions with <1% performance overhead
- References Microsoft.Extensions.Compliance.Redaction for future integration
- Opt-out available with
unsafeOutput=truefor advanced debugging - Patterns include: database credentials, cloud provider keys, tokens, certificates, and more
- Performance impact is minimal and tested to complete within 500ms for 10,000 lines
sequenceDiagram
participant User
participant AI as AI Assistant
participant MCP as .NET MCP Server
participant SDK as .NET SDK
User->>AI: "Create a console app called MyApp"
AI->>MCP: dotnet_project_new(template: "console", name: "MyApp")
MCP->>SDK: dotnet new console -n MyApp
SDK-->>MCP: Project created successfully
MCP-->>AI: Structured result with output
AI-->>User: "I've created a new console app called MyApp"
The .NET MCP Server acts as an intelligent middleware that:
- Translates natural language requests into structured .NET SDK operations
- Validates parameters using official SDK metadata (templates, frameworks, packages)
- Executes commands safely with proper error handling
- Returns structured results that AI assistants can understand and explain
- For Quick Install: .NET 10 SDK
- For Manual Install: .NET 10 SDK
- Visual Studio Code, Visual Studio 2022 (v17.13+), or Claude Desktop
Use the install badges at the top of this page to automatically configure the MCP server in your environment. The server will be downloaded from NuGet.org on first use.
Follow the instructions below for your specific development environment:
Using Quick Install (recommended - .NET 10 required):
- Click the VS Code Install badge at the top of this page
- Or manually add via Command Palette:
- Press
Ctrl+Shift+P(orCmd+Shift+Pon macOS) - Run "GitHub Copilot: Add MCP Server"
- Enter:
- Name:
dotnet - Type:
stdio - Command:
dnx - Arguments:
Community.Mcp.DotNet@0.1.0-* --yes
- Name:
- Press
Manual Configuration (for source builds or custom setups):
Edit your VS Code settings (Ctrl+, or Cmd+,, search for "mcp"):
{
"github.copilot.chat.mcp.servers": {
"dotnet": {
"type": "stdio",
"command": "dotnet",
"args": ["run", "--project", "/path/to/dotnet-mcp/DotNetMcp/DotNetMcp.csproj"]
}
}
}📖 Full VS Code MCP documentation
Requirements: Visual Studio 2022 version 17.13 or later
Using Quick Install (recommended - .NET 10 required):
- Click the Visual Studio Install badge at the top of this page
- Or manually add via Options:
- Go to Tools > Options > GitHub Copilot > MCP Servers
- Click Add
- Enter:
- Name:
dotnet - Type:
stdio - Command:
dnx - Arguments:
Community.Mcp.DotNet@0.1.0-* --yes
- Name:
Manual Configuration (for source builds or custom setups):
- Go to Tools > Options > GitHub Copilot > MCP Servers
- Click Add
- Enter:
- Name:
dotnet - Type:
stdio - Command:
dotnet - Arguments:
run --project C:\path\to\dotnet-mcp\DotNetMcp\DotNetMcp.csproj
- Name:
📖 Full Visual Studio MCP documentation
Using DNX (recommended - .NET 10 required):
macOS: Edit ~/Library/Application Support/Claude/claude_desktop_config.json
{
"mcpServers": {
"dotnet": {
"command": "dnx",
"args": ["Community.Mcp.DotNet@1.0.0", "--yes"]
}
}
}Windows: Edit %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"dotnet": {
"command": "dnx",
"args": ["Community.Mcp.DotNet@1.0.0", "--yes"]
}
}
}Manual Configuration (for source builds or custom setups):
macOS:
{
"mcpServers": {
"dotnet": {
"command": "dotnet",
"args": ["run", "--project", "/path/to/dotnet-mcp/DotNetMcp/DotNetMcp.csproj"]
}
}
}Windows:
{
"mcpServers": {
"dotnet": {
"command": "dotnet",
"args": ["run", "--project", "C:\\path\\to\\dotnet-mcp\\DotNetMcp\\DotNetMcp.csproj"]
}
}
}Once configured, you can use natural language with your AI assistant:
User: "Create a new web API project called WeatherService"
AI: I'll create a new web API project for you...
dotnet new webapi -n WeatherServiceThe project has been created successfully in the WeatherService directory.
User: "Create a server-side web app and minimal API, orchestrated by .NET Aspire, with unit tests for the API using xunit. Use slnx format for the solution."
AI: I'll create a complete microservices solution with .NET Aspire orchestration...
# Create solution with new XML format
dotnet new sln -n MyMicroservices --use-slnx
# Create .NET Aspire AppHost for orchestration
dotnet new aspire-apphost -n MyMicroservices.AppHost
# Create web app
dotnet new webapp -n MyMicroservices.Web
# Create minimal API
dotnet new webapi -n MyMicroservices.Api --use-minimal-apis
# Create test project
dotnet new xunit -n MyMicroservices.Api.Tests
# Add projects to solution
dotnet sln add MyMicroservices.AppHost/MyMicroservices.AppHost.csproj
dotnet sln add MyMicroservices.Web/MyMicroservices.Web.csproj
dotnet sln add MyMicroservices.Api/MyMicroservices.Api.csproj
dotnet sln add MyMicroservices.Api.Tests/MyMicroservices.Api.Tests.csproj
# Add project references for tests
dotnet add MyMicroservices.Api.Tests/MyMicroservices.Api.Tests.csproj reference MyMicroservices.Api/MyMicroservices.Api.csprojSolution created with 4 projects: AppHost for orchestration, Web app, API, and unit tests. Ready to run with dotnet run --project MyMicroservices.AppHost.
User: "Set up Entity Framework Core with SQL Server for my API and create the initial database migration"
AI: I'll add EF Core packages, install the dotnet-ef tool, and create your initial migration...
# Add Entity Framework packages
dotnet add package Microsoft.EntityFrameworkCore
dotnet add package Microsoft.EntityFrameworkCore.SqlServer
dotnet add package Microsoft.EntityFrameworkCore.Design
# Install dotnet-ef tool globally
dotnet tool install dotnet-ef --global
# Create initial migration
dotnet ef migrations add InitialCreate
# Apply migration to create database
dotnet ef database updateEntity Framework Core with SQL Server provider added. Initial migration created and applied. Database is ready for use.
User: "I added a Product entity to my DbContext. Update the database schema"
AI: I'll create a migration for your Product entity and apply it...
# Create migration for new entity
dotnet ef migrations add AddProductEntity
# List migrations to see what's pending
dotnet ef migrations list
# Apply the migration
dotnet ef database updateMigration created for Product entity (new table with Id, Name, Price, CreatedDate columns). Database updated successfully.
User: "Generate SQL script for the last migration so I can review it before production deployment"
AI: I'll generate an idempotent SQL script from your migration...
# Generate idempotent SQL script (can be run multiple times safely)
dotnet ef migrations script --idempotent --output deploy.sqlSQL script generated to deploy.sql. This script can be safely run multiple times and will only apply changes if needed.
User: "I have an existing SQL Server database. Reverse engineer it to Entity Framework classes"
AI: I'll scaffold your database into Entity Framework Core entities...
# Reverse engineer (scaffold) database to EF Core entities
dotnet ef dbcontext scaffold "Server=localhost;Database=MyExistingDb;Trusted_Connection=true;" Microsoft.EntityFrameworkCore.SqlServer --output-dir Models
# List the generated DbContext classes
dotnet ef dbcontext list
# Get detailed info about the DbContext
dotnet ef dbcontext infoDatabase scaffolded successfully. Generated MyExistingDbContext.cs and 15 entity classes (Customer, Order, Product, etc.) in the Models folder.
User: "Add integration tests using NUnit that target both .NET 8 and .NET 10, and configure them to run with code coverage"
AI: I'll set up multi-targeted integration tests with coverage...
# Create NUnit test project
dotnet new nunit -n MyMicroservices.IntegrationTests
# Update project to multi-target (edit .csproj)
# <TargetFrameworks>net8.0;net10.0</TargetFrameworks>
# Add integration test packages
dotnet add MyMicroservices.IntegrationTests package Microsoft.AspNetCore.Mvc.Testing
dotnet add MyMicroservices.IntegrationTests package Microsoft.Testing.Extensions.CodeCoverage
# Run tests with coverage for both frameworks
dotnet test -- --coverage --coverage-output-format coberturaIntegration test project created with multi-targeting. Tests will run on both .NET 8 and .NET 10 with code coverage enabled.
User: "What templates are available for creating cloud-native applications?"
AI: Let me search for cloud-native related templates...
dotnet new search aspire
dotnet new search dapr
dotnet new search azureFound templates:
aspire- .NET Aspire Applicationaspire-apphost- .NET Aspire App Hostaspire-servicedefaults- .NET Aspire Service Defaultsdapr- Dapr application templates- Various Azure Functions and Container Apps templates
Each template is designed for cloud-native microservices and distributed applications.
User: "Update all packages to latest versions, format all code to match our editorconfig rules, then build and run tests"
AI: I'll update packages, format code, build, and test...
# Update all packages to latest compatible versions
dotnet package update
# Format all code according to .editorconfig
dotnet format
# Clean and rebuild
dotnet clean
dotnet build -c Release
# Run all tests
dotnet test --verbosity detailedAll packages updated to latest versions. Code formatted consistently across solution. Build succeeded with 0 warnings. All 156 tests passed.
User: "I'm getting HTTPS certificate errors when running my web app"
AI: Let me check your HTTPS development certificate...
# Check certificate status
dotnet dev-certs https --check --trustYour certificate isn't trusted. Let me fix that...
# Trust the certificate (may require elevation)
dotnet dev-certs https --trustCertificate is now trusted. Try running your app again. If you're using Docker, you can export the certificate:
# Export for Docker containers
dotnet dev-certs https --export-path ./certs/aspnetapp.pfx --password "SecurePassword123!"Certificate exported to ./certs/aspnetapp.pfx. You can now mount it in your Docker container.
User: "Set up user secrets for my API project with a database connection string"
AI: I'll initialize user secrets for your project...
# Initialize user secrets (adds UserSecretsId to project file)
dotnet user-secrets init --project MyApi/MyApi.csprojNow I'll add your database connection string securely...
# Store connection string (not committed to Git)
dotnet user-secrets set "ConnectionStrings:DefaultConnection" "Server=localhost;Database=MyDb;User=dev;Password=secret123"Secret stored! You can also add API keys:
# Add Azure OpenAI API key
dotnet user-secrets set "Azure:OpenAI:ApiKey" "sk-..."
# Add SendGrid API key
dotnet user-secrets set "SendGrid:ApiKey" "SG...."Let me show you what's configured:
# List all secrets
dotnet user-secrets listOutput:
ConnectionStrings:DefaultConnection = Server=localhost;Database=MyDb;User=dev;Password=secret123
Azure:OpenAI:ApiKey = sk-...
SendGrid:ApiKey = SG....
These secrets are stored in your user profile (not in the project) and won't be committed to Git. In your code, access them like:
var connectionString = builder.Configuration["ConnectionStrings:DefaultConnection"];
var apiKey = builder.Configuration["Azure:OpenAI:ApiKey"];Note: User secrets are for development only. Use Azure Key Vault or environment variables for production.
User: "I want to develop a .NET MAUI app for Android and iOS"
AI: I'll help you set up the necessary workloads for MAUI development...
# First, let's see what MAUI workloads are available
dotnet workload search mauiFound workloads:
Workload ID Description
-------------------------------------------
maui-android .NET MAUI SDK for Android
maui-ios .NET MAUI SDK for iOS
maui-windows .NET MAUI SDK for Windows
maui-tizen .NET MAUI SDK for Tizen
Now I'll install the workloads you need:
# Install MAUI workloads for Android and iOS
# Warning: This will download several GB of SDKs and tools
dotnet workload install maui-android maui-iosNote: The command above shows the raw
dotnetCLI syntax, which uses space-separated workload IDs. When calling the .NET MCP workload install tool, pass workload IDs as a single comma-separated parameter, for example:workloadIds: "maui-android,maui-ios". The MCP server will translate this into the equivalent CLI command.
Workloads installed! Let's verify:
# List installed workloads
dotnet workload listOutput:
Installed Workload Id Manifest Version Installation Source
----------------------------------------------------------------------
maui-android 10.0.100/10.0.100 SDK 10.0.100
maui-ios 10.0.100/10.0.100 SDK 10.0.100
Now you can create a MAUI project:
# Create a new MAUI app
dotnet new maui -n MyMauiAppYour MAUI development environment is ready! When SDK updates are available, update your workloads:
# Update all installed workloads
dotnet workload updateThe server provides comprehensive .NET development capabilities through consolidated MCP tools that group related operations by domain, making it easier for AI assistants to select the right tool and compose workflows.
Note: The .NET MCP Server uses consolidated tools only. Each consolidated tool provides multiple related operations through an
actionparameter. This design improves AI orchestration and provides better semantic organization compared to having individual tools for each operation.
The server exposes read-only resources that provide efficient access to .NET environment metadata:
- 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
Resources provide structured JSON data and are more efficient than tool calls for frequently accessed read-only information.
These tools group related operations using action enums, providing better AI orchestration and clearer semantic organization.
Unified interface for all project operations: New, Restore, Build, Run, Test, Publish, Clean, Analyze, Dependencies, Validate, Pack, Watch, Format
Example:
// Create a new web API project
await callTool("dotnet_project", {
action: "New",
template: "webapi",
name: "MyApi"
});
// Build the project
await callTool("dotnet_project", {
action: "Build",
project: "MyApi/MyApi.csproj",
configuration: "Release"
});Manage NuGet packages and project references: Add, Remove, Search, Update, List, AddReference, RemoveReference, ListReferences, ClearCache
Example:
// Search for a package
await callTool("dotnet_package", {
action: "Search",
searchTerm: "serilog"
});
// Add package to project
await callTool("dotnet_package", {
action: "Add",
packageId: "Serilog.AspNetCore",
project: "MyApi/MyApi.csproj"
});Manage solution files and project membership: Create, Add, List, Remove
Example:
// Create a solution
await callTool("dotnet_solution", {
action: "Create",
name: "MyApp",
format: "slnx"
});
// Add projects to solution
await callTool("dotnet_solution", {
action: "Add",
solution: "MyApp.slnx",
projects: ["MyApi/MyApi.csproj", "MyWeb/MyWeb.csproj"]
});Database migrations, DbContext management, and scaffolding: MigrationsAdd, MigrationsList, MigrationsRemove, MigrationsScript, DatabaseUpdate, DatabaseDrop, DbContextList, DbContextInfo, DbContextScaffold
Example:
// Create a migration
await callTool("dotnet_ef", {
action: "MigrationsAdd",
name: "InitialCreate",
project: "MyApi/MyApi.csproj"
});
// Update database
await callTool("dotnet_ef", {
action: "DatabaseUpdate",
project: "MyApi/MyApi.csproj"
});Install and manage .NET workloads (MAUI, WASM, etc.): List, Info, Search, Install, Update, Uninstall
Example:
// Search for workloads
await callTool("dotnet_workload", {
action: "Search",
searchTerm: "maui"
});
// Install workloads
await callTool("dotnet_workload", {
action: "Install",
workloadIds: "maui-android,maui-ios"
});Manage global and local .NET tools: Install, List, Update, Uninstall, Restore, CreateManifest, Search, Run
Example:
// Install a tool globally
await callTool("dotnet_tool", {
action: "Install",
packageId: "dotnet-ef",
global: true
});
// Search for tools
await callTool("dotnet_tool", {
action: "Search",
searchTerm: "format"
});Query SDK, runtime, template, and framework information: Version, Info, ListSdks, ListRuntimes, ListTemplates, SearchTemplates, TemplateInfo, ClearTemplateCache, FrameworkInfo, CacheMetrics
Example:
// Get SDK version
await callTool("dotnet_sdk", {
action: "Version"
});
// List available templates
await callTool("dotnet_sdk", {
action: "ListTemplates"
});
// Search for templates
await callTool("dotnet_sdk", {
action: "SearchTemplates",
searchTerm: "web"
});Manage HTTPS certificates and user secrets: CertificateTrust, CertificateCheck, CertificateClean, CertificateExport, SecretsInit, SecretsSet, SecretsList, SecretsRemove, SecretsClear
Example:
// Trust development certificate
await callTool("dotnet_dev_certs", {
action: "CertificateTrust"
});
// Set a user secret
await callTool("dotnet_dev_certs", {
action: "SecretsSet",
key: "ConnectionStrings:DefaultConnection",
value: "Server=localhost;Database=MyDb",
project: "MyApi/MyApi.csproj"
});- dotnet_help - Get help for any dotnet command
- dotnet_server_capabilities - Get MCP server capabilities and concurrency guidance
For development or contributing:
git clone https://github.com/jongalloway/dotnet-mcp.git
cd dotnet-mcp/DotNetMcp
dotnet buildRun the server:
dotnet runThe server communicates via stdio transport and is designed to be invoked by MCP clients.
This project has grown beyond the point where a complete file-by-file listing stays useful. Instead, this section highlights the key entry points and the main areas of the repo.
dotnet-mcp/
├── DotNetMcp/ # Main MCP server project (packed as a .NET tool)
│ ├── Program.cs # Hosting + MCP server wiring
│ ├── DotNetMcp.csproj # NuGet/package metadata (PackAsTool, server.json packing)
│ ├── .mcp/server.json # MCP server metadata (packed into the NuGet package)
│ ├── DotNetResources.cs # MCP resources (SDK/runtime/templates/frameworks)
│ ├── DotNetCliTools.cs # Tool surface area (split into partials in Tools/)
│ └── Tools/ # Tool implementations grouped by domain (project, package, EF, etc.)
├── DotNetMcp.Tests/ # Unit + integration tests
├── doc/ # Long-form documentation (architecture, concurrency, testing, etc.)
├── docs/ # Project website / published docs assets
├── scripts/ # Maintenance & validation scripts
├── artifacts*/ # Build outputs (CI + local)
├── issues/ # Issue templates / triage notes
├── .github/ # CI workflows and repo automation
├── DotNetMcp.slnx # Solution file (.slnx)
├── global.json # SDK pinning for consistent builds
├── .config/dotnet-tools.json # Local tool manifest (dotnet local tools)
└── LICENSE # MIT License
Key files to start with:
DotNetMcp/Program.cs- server startup and registrationDotNetMcp/DotNetCliTools.csandDotNetMcp/Tools/- MCP tool implementationsDotNetMcp/DotNetResources.cs- read-only MCP resourcesDotNetMcp/.mcp/server.json- packaged MCP server metadataDotNetMcp.Tests/- tests (including server.json validation and XML doc coverage)
- Protocol: Model Context Protocol (MCP)
- SDK: MCP SDK for .NET v0.5.0-preview.1
- Runtime: .NET 10.0 (target framework)
- Transport: stdio (standard input/output)
- NuGet Packages:
Microsoft.TemplateEngine.Abstractions&Edge(v10.0.101) - Template metadataMicrosoft.Build.Utilities.Core&Microsoft.Build(v18.0.2) - Project validation
- 📖 CHANGELOG - Version history and release notes
- 📖 AI Assistant Best Practices Guide - Workflows, prompts, integration patterns, and troubleshooting
- 📖 Machine-Readable JSON Contract - v1.0 stable contract for programmatic tool consumption
- 📖 Tool Surface Consolidation - Consolidated tool design and architecture
- 📖 SDK Integration Details - Technical architecture and SDK usage
- 📖 Advanced Topics - Performance, logging, and security details
- 📖 Concurrency Safety - Parallel execution guidance for AI orchestrators
- 📖 Testing - How to run tests (including opt-in interactive tests)
- 📖 Model Context Protocol - Official MCP specification
- 📖 MCP C# SDK Docs - SDK documentation
The .NET MCP Server follows the Model Context Protocol specification and provides rich metadata for tool discovery and AI orchestration:
The server includes a comprehensive server.json configuration file (.mcp/server.json) that provides:
-
Environment Variables: Optimized .NET CLI settings for MCP usage
DOTNET_SKIP_FIRST_TIME_EXPERIENCE=1- Skips first-time setupDOTNET_NOLOGO=1- Suppresses startup messages
-
Package Information: NuGet package details for easy installation via
dnx(requires .NET 10)- Package:
Community.Mcp.DotNet - Registry: NuGet.org
- Transport: stdio
- Package:
-
Tool Descriptors: Comprehensive tool metadata including:
- Tool IDs using
dotnet_prefix to avoid namespace collisions - Category tags (template, project, package, solution, etc.)
- Discovery tags for semantic search (e.g., "build", "compile", "test")
commonlyUsedflag marking the top 10 most frequently used tools
- Tool IDs using
-
Resource Descriptors: Read-only resources for efficient metadata access
dotnet://sdk-info- SDK version and path informationdotnet://runtime-info- Runtime installation detailsdotnet://templates- Template catalog with parametersdotnet://frameworks- Framework versions with LTS status
All tools use the dotnet_ prefix in their external IDs to prevent naming collisions with other MCP servers. This follows best practices for MCP server interoperability:
Examples:
dotnet_project_new- Create new projectsdotnet_project_build- Build projectsdotnet_package_add- Add NuGet packagesdotnet_solution_create- Create solution files
The top 10 commonly used tools include semantic tags to improve discoverability:
- dotnet_template_list -
["template", "list", "discovery", "project-creation"] - dotnet_project_new -
["project", "create", "new", "template", "initialization"] - dotnet_project_restore -
["project", "restore", "dependencies", "packages", "setup"] - dotnet_project_build -
["project", "build", "compile", "compilation"] - dotnet_project_run -
["project", "run", "execute", "launch", "development"] - dotnet_project_test -
["project", "test", "testing", "unit-test", "validation"] - dotnet_package_add -
["package", "add", "nuget", "dependency", "install"] - dotnet_package_search -
["package", "search", "nuget", "discovery", "find"] - dotnet_solution_create -
["solution", "create", "new", "organization", "multi-project"] - dotnet_tool_install -
["tool", "install", "global", "local", "cli"]
These tags enable AI assistants to:
- Find relevant tools based on semantic intent
- Group related operations for workflow suggestions
- Prioritize commonly used tools in recommendations
AI orchestrators can access server metadata through:
- MCP Protocol: Standard tool/resource listing via MCP SDK
- server.json: Static metadata file for registration and discovery
- Tool Attributes: Runtime metadata via
McpMetaattributes in code
For detailed integration examples, see the MCP specification and our SDK integration documentation.
Contributions are welcome! This is a community-maintained project.
Ways to contribute:
- 🐛 Report bugs or request features via GitHub Issues
- 💡 Submit pull requests for new tools or improvements
- 📝 Improve documentation
- ⭐ Star the repo to show support
Development setup:
- Fork the repository
- Clone your fork
- Create a feature branch
- Make your changes
- Test thoroughly
- Submit a pull request
See .github/copilot-instructions.md for development guidelines.
- Cause: .NET 10 SDK not installed
- Solution: Install .NET 10 SDK or use manual configuration with
dotnet run
- Cause: .NET SDK templates not installed
- Solution: Run
dotnet new --installto install default templates
- Cause: Server crashed or failed to start
- Solution: Check logs in your MCP client, ensure .NET SDK is in PATH
- 📖 Check the documentation
- 💬 Open a GitHub Issue
- 🔍 Search existing issues
This .NET MCP server focuses on .NET SDK operations (build, run, test, templates, SDK management). For specialized scenarios, consider these complementary official Microsoft MCP servers:
- NuGet MCP Server - Advanced NuGet package search, metadata, and automation scenarios beyond basic package management
- Aspire MCP Server - Runtime monitoring, telemetry, distributed tracing, and resource management for .NET Aspire applications
These MCPs work alongside the .NET MCP to provide comprehensive coverage of the .NET development lifecycle:
| Feature | .NET MCP | NuGet MCP | Aspire MCP |
|---|---|---|---|
| Primary Focus | .NET SDK operations | Package metadata/discovery | Runtime monitoring |
| Scope | CLI commands (build, run, test) | NuGet search & automation | Aspire app telemetry |
| Stage | Development time | Development/discovery time | Runtime/production |
| Example Operations | dotnet build, dotnet new |
Package search, READMEs | Log viewing, tracing |
MIT License - see LICENSE file for details.