Awesome Copilot MCP Server

MCP serverAI & models

Give your AI access to the awesome-copilot collection of agents. Once this integration is added, your AI can use those agents and their collections, so it can approach your tasks in different ways.

Unavailable. This server has no hosted endpoint yet, so Ahel can't serve it.

Ahel cannot run this one yet; its page stays here for reference.

What your AI can do with it

  • Use agents from the awesome-copilot collection
  • Browse the available agent collections
  • Apply an agent to your current task
  • Switch between different agents while you work

Getting started

  1. Read the source or reference documentation for what it needs to run.
  2. Check this page for availability before you add it to a pipeline on Ahel.

From the project's README

As published by rbbtsn0w/awesome-copilot-mcp in README.md.

A Model Context Protocol (MCP) server that provides access to awesome-copilot agents and collection resources.

Quick Start

One-Click Installation for VS Code

Click the badge to install directly in VS Code (will prompt to open VS Code):

Note: Requires GitHub Copilot extension in VS Code. Click the badge on GitHub to trigger the installation prompt.

Manual Configuration

Add to your MCP Client configuration (e.g., Claude Desktop or VS Code):

{
  "mcpServers": {
    "awesome-copilot": {
      "command": "npx",
      "args": ["-y", "awesome-copilot-mcp", "start"]
    }
  }
}

This ensures you always run the latest version.

Usage

As MCP Server

Standard stdio usage (default). See configuration above.

As HTTP / OpenAPI Server

Run locally for remote access or OpenAPI testing:

npx -y awesome-copilot-mcp start-http --port 8080 --host 0.0.0.0

Available endpoints:

  • GET /health Health check
  • GET /metadata Return metadata index
  • GET /metadata/stream SSE streaming output of metadata
  • GET /search?q=kw Search
  • GET /openapi.json API Documentation

Supported Content Types

This server now indexes all resources published in the official github/awesome-copilot repository:

  • 🤖 Agents
  • 💬 Prompts
  • 📋 Instructions
  • 🛠️ Skills (folder-aware)
  • 📦 Collections
  • 🎁 Plugins (from plugins/external.json)
  • 🪝 Hooks
  • ⚡ Agentic Workflows

Debugging

MCP Inspector is the recommended way to test and debug:

# Debug via Stdio (Recommended)
npx -y awesome-copilot-mcp debug --no-build

# Debug via HTTP
npm run inspect:http

Architecture

This server uses a Bundled + In-Memory architecture for maximum reliability:

  1. Startup: Loads metadata.json bundled directly within the npm package. Zero external dependencies.
  2. Hot Updates: refresh_metadata fetches the latest data from GitHub and stores it in memory for the current session.
  3. Sandbox Friendly: No local disk cache (~/.cache) is used, preventing permission issues in restricted environments (e.g., macOS App Sandbox).

Environment Variables

VariableDescription
ACP_METADATA_URLOptional. URL to a hosted metadata.json (e.g. https://yourname.github.io/repo/metadata.json). Overrides GitHub raw fetch.
ACP_REPOS_JSONCustom repository configuration JSON.

Metadata Generation

Automated: GitHub Actions runs daily to fetch the latest metadata from github/awesome-copilot and publishes a new npm version if changes are detected.

Internal: The metadata file is lightweight (~170 KB) containing only index info. Actual content and download targets for agents, prompts, instructions, skills, collections, plugins, hooks, and workflows are resolved on-demand via the exposed tools and resources.

Development

# Install dependencies
npm install

# Build
npm run build

# Run tests
npm test

License

MIT

Signals

GitHub stars
4
Forks
2
Last commit
Oct 2026
Weekly downloads
86
Weekly_downloads
71 weekly_downloads
Advanced
Delivery
awesome-copilot-mcp MCP server → your Ahel connector (mcp.ahel.ai) → your AI.
Item type
mcp-server
Key
io-github-rbbtsn0w-awesome-copilot-mcp
Source
github.com/rbbtsn0w/awesome-copilot-mcp