Apple Music
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.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- media
- Source
- PulseMCP
- Repository
- github.com/kennethreitz/mcp-applemusic
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Apple Music from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.