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Dotnetdevmcp

by csa7mdmversion 0.3.4i★ –iRuns on your computer
Registry nameio.github.csa7mdm/dotnetdevmcp

Install

Overview

Description from the maker (original English)

MCP server that gives AI coding agents Roslyn's compiler view of a .NET solution.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "dotnetdevmcp": {
      "command": "dnx",
      "args": [
        "DotNetDevMCP",
        "--yes"
      ]
    }
  }
}

Run this in your terminal

claude mcp add dotnetdevmcp -- dnx DotNetDevMCP --yes

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "dotnetdevmcp": {
      "command": "dnx",
      "args": [
        "DotNetDevMCP",
        "--yes"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "dotnetdevmcp": {
      "type": "stdio",
      "command": "dnx",
      "args": [
        "DotNetDevMCP",
        "--yes"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account csa7mdm, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32398 servers in this category
  • Published to the registry more recently than 49% of the other 32398 servers in this category
  • Basic checks equal to or better than 100% of the other 32398 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Dotnetdevmcp safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.3.4) reached the registry 42 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need .NET on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, AI Deprecations

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

DotNetDevMCP

An MCP server that gives AI coding agents real .NET tooling: Roslyn code intelligence, dotnet build/test, affected-test selection, and an orchestrator that runs those tools concurrently as a dependency graph.

Agents working on .NET code usually get by with grep and shelling out to dotnet. That means they read files instead of symbols, edit text instead of syntax trees, and run one command at a time. DotNetDevMCP replaces that with 37 tools by default (53 with the optional groups below enabled) that use the compiler's view of your solution and can run builds, tests and analysis in parallel.

New here? The wiki has a first-session tutorial, setup for every MCP client, and troubleshooting.

Install

Requires the .NET 10 SDK.

Claude Code

claude mcp add dotnetdevmcp -- dnx DotNetDevMCP --yes

VS Code / Visual Studio (.mcp.json or .vscode/mcp.json)

{

"servers": { "dotnetdevmcp": { "type": "stdio", "command": "dnx", "args": ["DotNetDevMCP", "--yes"] } } }

Claude Desktop / Cursor / any stdio client (mcpServers form)

{

"mcpServers": { "dotnetdevmcp": { "command": "dnx", "args": ["DotNetDevMCP", "--yes", "--", "--load-solution", "C:/src/MyApp/MyApp.sln"] } } }

dnx downloads the package from NuGet.org on first run. Prefer a permanent install? dotnet tool install -g DotNetDevMCP, then use dotnetdevmcp as the command.

Pass --load-solution to have Roslyn load your solution at startup, or let the agent call SharpTool_LoadSolution when it needs to. --http --port 3001 serves Streamable HTTP instead of stdio (localhost only, no authentication: see Security); it rejects requests carrying a foreign Origin header or a non-localhost Host header. --allowed-origin (repeatable) adds an extra origin to that allow-list, e.g. --allowed-origin http://localhost:5173 for a local dev-server proxy that forwards its Origin - the server sends no CORS headers, so this doesn't let a browser page call it directly. --clean-env starts dotnet and git with a minimal environment so tokens and cloud credentials in environment variables aren't passed on. dotnetdevmcp --help lists everything.

Git and Monitoring tools (see the table below) are off by default - a shell an agent already has covers them, and every registered tool costs context tokens in every session. Pass --enable git,monitoring (comma-separated and/or repeated, e.g. --enable git --enable monitoring) to turn either or both on.

By default, the Roslyn edit tools (SharpTool_RenameSymbol, OverwriteMember, AddMember, MoveMember, FindAndReplace, CreateRoslynDocument, OverwriteRoslynDocument, ManageUsings, ManageAttributes) never touch git - they apply changes to disk and return the usual compile-check output, nothing else. Pass --git-commit-edits to opt into the old behavior: each edit creates a sharptools/ branch (if you aren't already on one) and commits the change, which is also what SharpTool_Undo needs in order to revert. Without the flag, SharpTool_Undo returns an explanatory error instead of failing obscurely. (--disable-git still exists but is a no-op now that git integration is opt-in by default.)

What the agent gets

GroupToolsWhat they do
Code intelligence (Roslyn)21Load a solution; search and view definitions; find references and implementations; add, overwrite, move and rename members; manage usings and attributes; find-and-replace with syntax awareness; complexity analysis; undo. Forked from SharpTools.
Testing3dotnet_test_run (one dotnet test per project or solution, TRX parsed into per-test results with messages and stack traces), dotnet_test_discover, and dotnet_test_affected: Roslyn walks references from your changed files to the test methods that reach them, and runs only those.
Build4dotnet build, restore, clean, build with MSBuild properties. Structured error/warning output.
Analysis5Project dependency graph, circular-dependency detection, quality metrics, outdated-package scan.
Orchestration4orchestrate_parallel runs any of the server's own tools concurrently; execute_workflow runs them as a DAG. Resource limits and metrics.
Git *(opt-in)*10Status, branches, checkout, stage, commit, diff, log, push, pull. Enable with --enable git.
Monitoring *(opt-in)*6Process performance metrics, GC stats, resource utilization, health check, profiling sessions. Enable with --enable monitoring.

Things you can say to an agent with this server attached:

  • "Load MyApp.sln, find every implementation of IOrderRepository, and rename GetById to FindById across the solution."
  • "Run only the tests affected by what I just changed, and show me the failures with stack traces."
  • "Build the API and the worker projects at the same time, then run both test projects."
  • "Which projects have circular dependencies?"

Orchestration

The tools above are individually useful. The orchestrator is what makes them fast. Any tool on the server can be dispatched by name, in parallel or as a dependency graph, from a single call:

{

"name": "execute_workflow", "arguments": { "workflowName": "ci", "steps": [ { "name": "build-tests", "toolName": "dotnet_build", "arguments": { "projectPath": "tests/Api.Tests/Api.Tests.csproj" } }, { "name": "build-worker", "toolName": "dotnet_build", "arguments": { "projectPath": "src/Worker/Worker.csproj" } }, { "name": "test-api", "toolName": "dotnet_test_run", "arguments": { "path": "tests/Api.Tests/Api.Tests.csproj", "noBuild": true }, "dependsOn": ["build-tests"] }, { "name": "deps", "toolName": "dotnet_detect_circular_dependencies", "arguments": { "projectPath": "src/Api/Api.csproj" } } ] } }

build-tests, build-worker and deps start immediately; test-api waits for build-tests. Steps are throttled by a resource manager (default: processor count, adjustable with configure_resource_limits). Failures are reported per step; a failed dependency stops its dependents.

Under the hood this is ConcurrentExecutor / WorkflowEngine / ResourceManager, plain C# classes in DotNetDevMCP.Orchestration that can be used without MCP.

Numbers

Measured with BenchmarkDotNet on an i7-10750H, .NET 10.0.9. The orchestration benchmarks use Task.Delay stand-ins for I/O-bound work, so they measure the engine's overhead and scheduling, not dotnet itself.

Scenario (20 ops × 50 ms)Meanvs sequential
Sequential1,237 ms1.00
ConcurrentExecutor, throttled to 5246 ms0.20
ConcurrentExecutor, unthrottled (12 cores)123 ms0.10
WorkflowEngine with dependencies185 ms0.15
Task.WhenAll (lower bound)62 ms0.05
Workflow with a mix of dependent and independent stepsMeanvs sequential
Sequential308 ms1.00
WorkflowEngine185 ms0.60

Affected tests

After an edit, the agent usually reruns the whole suite. dotnet_test_affected asks Roslyn instead: take the symbols declared in the changed files, follow references (up to maxDepth hops, default 8) until you land in a method with [Fact], [Theory], [Test], [TestCase] or [TestMethod], then run exactly those. Changed files default to the git working tree, or gitBase: "main" for a branch. dryRun: true lists the tests without running them; framework: "net10.0" runs one target framework of multi-targeted test projects.

The walk has a time budget (maxSelectionSeconds, default 10). A change to code that everything depends on reaches too much to trace cheaply; then the test projects that reference the changed projects run instead (the whole solution if that's all of them), and the response says so (selectionComplete: false, ranScope). The same happens when the selection is more than 20% of all tests (maxSelectedFraction), where a filtered run is no faster. Changed files the walk can't trace (a .csproj, .razor, appsettings.json, a deleted file) switch to the same project fallback and are listed in untracedFiles; a changed Directory.Build.props, global.json or .editorconfig runs the whole solution. You never get a silently partial selection. Runs are killed after timeoutSeconds (default 600) so a hanging test cannot hang the agent; the response names the test modules that never finished. maxDepth: 3 narrows more changes but misses more tests. Works with VSTest and with Microsoft.Testing.Platform ("test": { "runner": "Microsoft.Testing.Platform" } in global.json). The project fallback also follows restored NuGet package references (a test project whose obj/project.assets.json references another solution project's package id, with no ProjectReference between them, is still selected). A change to Directory.Packages.props is narrowed to the test projects that actually use the package ids whose version moved only when it is the *only* changed file (documentation outside every project aside), only the Version attributes actually changed (not a Condition, a GlobalPackageReference, or any other edit riding along), and every solution project has been restored; any other change to that file, a change alongside another file, or an unrestored project anywhere in the solution runs the whole solution instead, with a note explaining which of those applied.

On this repository, editing ConcurrentExecutor.cs selects 22 of 44 tests (the ConcurrentExecutorTests plus the OrchestrationServiceTests that reach it through OrchestrationService). Measured through the MCP tool, build included, i7-10750H:

TestsWall
dotnet test from a shell449 s
dotnet_test_run448.3 s
dotnet_test_affected (change to ConcurrentExecutor.cs)226.6 s

The suite here is small, so the saving is small. On a real library the picture is clearer: benchmarks/polly replays 40 Polly commits and injects faults into its code. A one-file change ran its 5 affected tests in 5.1 s against 48.1 s for the net10.0 suite (same session), and the selections included 111 of the 112 tests the injected faults broke (the miss builds its object through reflection). Changes that reach hundreds of tests gain nothing: of the last 40 commits, 16 ran a filtered selection and 24 ran th

Only the beginning is shown; read the rest in the repo

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