# Apple Music

> Use this tool when you need to integrate AI-powered music control with Apple Music on macOS systems, enabling use cases such as voice-activated playback and automated playlist generation. It provides a simple interface for controlling music playback, searching libraries, and retrieving information. Ideal for AI assistants or custom applications that require sophisticated music interaction capabilities.

Canonical page: https://skillsregistry.net/skills/kennethreitz-applemusic  
JSON: https://api.skillsregistry.net/v1/skills/kennethreitz-applemusic

## Description

This MCP implementation, developed by Kenneth Reitz, provides integration with Apple Music on macOS systems. Built with Python and leveraging AppleScript, it offers tools for controlling music playback, searching the library, creating playlists, and retrieving library information. The implementation focuses on providing a simple, standardized interface for AI-powered music control, enabling use cases such as voice-activated music playback, automated playlist generation, and music library analysis. By connecting AI models with the Apple Music application, this server allows for sophisticated music interaction scenarios, enhancing the ability to manage and enjoy music through AI assistants or custom applications.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/kennethreitz-applemusic)
- **Repository:** <https://github.com/kennethreitz/mcp-applemusic>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "kennethreitz-applemusic"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kennethreitz-applemusic` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kennethreitz-applemusic/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt