Awesome Copilot MCP Server MCP Server
io.github.microsoft/awesome-copilot
MCP server that retrieves GitHub Copilot customization files from the awesome-copilot repository.
What is the Awesome Copilot MCP Server MCP server?
The Awesome Copilot MCP server is an MCP implementation that retrieves GitHub Copilot customization files from the awesome-copilot repository. It enables AI models to access pre-built Copilot customizations and configurations through the standardized Model Context Protocol.
This MCP server provides access to GitHub Copilot customization files, allowing AI agents to retrieve and work with Copilot configurations. It's useful for developers who want to integrate Copilot customizations into their workflows or explore available customization patterns.
How to install Awesome Copilot MCP Server
Copy-paste configuration for popular MCP clients.
Tools & capabilities
Tools this server exposes to the agent.
Retrieve Copilot Customizations— Fetches GitHub Copilot customization files from the awesome-copilot repository
Use cases
- Retrieve available Copilot customization templates and configurations
- Integrate Copilot customizations into development workflows
- Explore best practices for Copilot configuration
- Access pre-built Copilot setup patterns for different use cases
Awesome Copilot MCP Server MCP server FAQ
It retrieves GitHub Copilot customization files from the awesome-copilot repository, making them accessible to AI models through the Model Context Protocol.
Yes, it is open-source and available on GitHub under Microsoft's repository.
You can install it in VS Code or VS Code Insiders using the provided install badges in the repository, or by running the Docker container: ghcr.io/microsoft/mcp-dotnet-samples/awesome-copilot:1.0.2026093001
Visual Studio installation is supported via the install badge provided in the repository.
The README does not specify authentication requirements; check the awesome-copilot directory in the repository for detailed setup instructions.
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to Large Language Models, functioning like a USB-C port for AI applications.
README (reference)
Source of truth, from the repository.
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 |  <br/> <br/> | MCP server that retrieves GitHub Copilot customization files from awesome-copilot. |
| Markdown to HTML | <br/><br/> | MCP server that converts markdown text to HTML. |
| Outlook Email | <br/><br/> | MCP server that sends emails through Outlook. |
| To-do List | <br/><br/> | 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.
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