# Music MCP

> Use this tool when you need to control Apple Music on macOS programmatically, solving problems like automated playlist management and track searching. It takes input commands and outputs metadata, allowing for seamless integration with AI assistants. Ideal for use cases requiring structured music library management and playback operations.

Canonical page: https://skillsregistry.net/skills/pedrocid-music-mcp  
JSON: https://api.skillsregistry.net/v1/skills/pedrocid-music-mcp

## Description

Enables AI assistants to control Apple Music on macOS using AppleScript for playback, library management, and playlist operations. It supports features like searching tracks, managing the play queue, and retrieving detailed metadata through a structured interface.

## Trust

- **Trust score (0–1):** 0.94
- **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:** [Glama](https://glama.ai/mcp/servers/ldk3s2hbds)
- **Repository:** <https://github.com/pedrocid/music-mcp>

## 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": "pedrocid-music-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pedrocid-music-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pedrocid-music-mcp/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