"How to Control Apple Music" matching MCP servers:

Enables AI agents to safely access and manage a single Apple Music account, including indefinite listening history, analytics, playlists, and recommendations.

Enables controlling Apple Music playlists, library, catalog discovery, playback, and the Up Next queue from any MCP client, using Music.app, Safari, Chrome, or the Apple Music API. Runs on macOS, Windows, and Linux, with a mode preference that picks the best available engine per call.

Gives MCP clients control of Apple Music playlists, library, catalog, discovery, playback, and the Up Next queue across macOS, Windows, and Linux, using Music.app, Safari, the Apple Music API, or Chrome.

Enables any MCP client to control Apple Music playlists, library, catalog, discovery, playback, and the Up Next queue on macOS, Windows, and Linux using selectable native, API, Safari, or Chrome engines. Provides catalog and library search, playlist and folder management, ratings and favorites, playback controls, queue management, AirPlay selection, and cross-platform support with or without an Apple Music subscription.

Enables MCP clients to control playlists, library, catalog, discovery, playback, and the Up Next queue across macOS, Windows, and Linux using native, API, Safari, or Chrome engines. Requires a Mac or an Apple Music subscription and supports local library actions plus cross-platform catalog access.

Integrates Apple Music with MCP clients to search the global catalog, manage personal playlists, and access library data. It enables users to perform actions like creating playlists, adding tracks, and viewing recommendations through natural language commands.

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.

Enables AI assistants to convert CSS-animated SVGs into videos (MP4/WebM/MKV/MOV) and animated images (aPNG/GIF) with frame-accurate rendering and transparency support.

Reading and writing Apple Notes with native Markdown conversion

Start, observe, and interact with Claude Managed Agents from any MCP client — launch an agent, watch its events, reply, approve the tools it wants to run, and stop it. Runs over stdio, HTTP, or AWS Lambda with pluggable auth.

A Model Context Protocol server that enables seamless interaction between LLM-based agents and Apple Health data, allowing users to query, analyze, and manage health records through natural language commands.

Enables MCP clients to search songs, retrieve details and lyrics, and manage personal playlists on NetEase Cloud Music, with optional local player control on macOS, all through a privacy-first, self-hosted service.

AI music production with text-to-music generation, audio extension, remixing, and cover creation via AceDataCloud API.

Enables MCP clients to query NetEase Cloud Music data such as songs, artists, albums, playlists, lyrics, and a logged-in user's library in compact, paginated, structured form, along with guarded playlist and like write operations.

Enables Claude to interact with Apple services including Email, Calendar, Contacts, Reminders, Notes, Messages, and Safari via AppleScript (macOS) or iCloud protocols.

A Model Context Protocol server that converts Markdown documents to plain text with flexible options and dual protocol support.

Enables controlling a Lyrion Music Server through MCP tools for playback control, library search, and queue management.

An MCP server that enables AI agents to retrieve detailed GitHub Pull Request information using git commit hashes, branch names, or PR numbers. It automatically detects repositories and extracts comprehensive PR data including descriptions, labels, and reviews via the GitHub CLI.

Enables AI assistants to inspect and safely control OBS Studio over obs-websocket v5, exposing scenes, inputs, filters, outputs and video settings as read and write tools that default to dry runs and refuse changes while live unless explicitly confirmed. It also provides Source Record and IRL readiness checks, a BRB auto-switcher, and a scene timeline log for cutting clips from VODs.

Enables AI to remotely control macOS systems via VNC with full desktop capabilities including screenshots, mouse control, keyboard input, and application management. Includes a web-based chat interface for natural language control.