Spec Driven Development
by formulahendry
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Runs on your computer★ 440MITUpdated 14 months ago
Install
Awesome Copilot MCP Server
Overview
Description from the maker (original English)
An MCP server that stores Copilot customizations from the Awesome Copilot repository
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
- UsageiNot measured yet★ –
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.
You need
- DockerDocker installed
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": {
"awesome-copilot": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/microsoft/mcp-dotnet-samples/awesome-copilot:1.0.2026110405"
]
}
}
}Run this in your terminal
claude mcp add awesome-copilot -- docker run -i --rm ghcr.io/microsoft/mcp-dotnet-samples/awesome-copilot:1.0.2026110405Or copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"awesome-copilot": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/microsoft/mcp-dotnet-samples/awesome-copilot:1.0.2026110405"
]
}
}
}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.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"awesome-copilot": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/microsoft/mcp-dotnet-samples/awesome-copilot:1.0.2026110405"
]
}
}
}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 microsoft, 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 32461 servers in this category
- Published to the registry more recently than 93% of the other 32461 servers in this category
- Basic checks equal to or better than 100% of the other 32461 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 Awesome Copilot MCP Server 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 (1.0.2026110405) reached the registry 2 days ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Docker on your computer.
What can I use instead?
In the same category: Spec Driven Development, Remote Desktop Commander, dotnet-mcp
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Remote Desktop Commander
by desktop-commander
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Runs in the cloud★ 211Updated yesterday
Install
dotnet-mcp
by Skymly
MCP server for .NET symbols, XAML, source generators, and restricted workspace edit
Runs on your computerUpdated today
Install
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.
Model Context Protocol .NET Samples
🚀 Introduction
Welcome to the Model Context Protocol (MCP) .NET Samples repository! This collection of samples demonstrates how to leverage the Model Context Protocol in .NET applications.
MCP is an open protocol that standardizes how applications provide context to Large Language Models (LLMs). Think of MCP like a USB-C port for AI applications - it provides a standardized way to connect AI models to different data sources and tools.
With MCP, you can:
- Utilize pre-built integrations that your LLM can directly plug into
- Flexibly switch between LLM providers and vendors
- Follow best practices for securing your data within your infrastructure
- Build agents and complex workflows on top of LLMs
This repository contains .NET samples ranging from building your own MCP implementation to integrating with Azure services.
📋 Sample Projects
| Sample Name | Install | Description |
|---|---|---|
| Awesome Copilot |
| MCP server that retrieves GitHub Copilot customization files from awesome-copilot. | | Markdown to HTML |
| MCP server that converts markdown text to HTML. | | Outlook Email |
| MCP server that sends emails through Outlook. | | To-do List |
| MCP server that manages to-do list items. |
🛠️ Getting Started
Details on how to set up and run the samples will be provided in each sample's directory.
📚 Learning Resources
🚶♀️ Next Steps
- Learn more about GenAI with .NET with a free course!
- Join the Azure AI Community Discord to keep the conversation going
Contributing
This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.
When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.
Trademarks
This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.