# sound

> sound — seayniclabs-sound. Use this tool when you need to integrate Apple Music functionality into AI applications, enabling search, playback, and management of Apple Music content. It solves problems related to music streaming and control, providing a seamless interface for AI tools to interact with Apple Music. With git capabilities, it accepts input commands and outputs music playback controls and search results.

Canonical page: https://skillsregistry.net/skills/seayniclabs-sound  
JSON: https://api.skillsregistry.net/v1/skills/seayniclabs-sound

## Description

Apple Music MCP server — search, play, and manage Apple Music from AI tools

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** media
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/seayniclabs/sound)

## 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": "seayniclabs-sound"
    }
  }
}
```

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