"Apple Music" matching MCP servers:

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

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.

Enables MCP clients to search and browse the catalog, manage playlists, library items, ratings and folders, and control playback and the Up Next queue. It runs across macOS, Windows and Linux using four selectable engines—native Music.app, the web API, Safari or Chrome—so a Mac or a subscription is all that's needed.

Reading and writing Apple Notes with native Markdown conversion

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.

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.

Enables AI assistants to read Apple Messages chat history and send iMessages or SMS on macOS, accessible locally via stdio or remotely over authenticated HTTP.

Enables MCP-compatible agents to queue, run, and track local AI music generation jobs with dry-run defaults, license recording, and pluggable pipeline adapters for YuE or compatible backends.

A server that provides QQ Music search functionality through the Modular Control Protocol, allowing users to search for music tracks by keyword and retrieve song information.

On-device AI image generation for macOS with 17 tools and zero API keys, combining Apple Intelligence and Pollinations for stylized and photorealistic images, auto-cropping for 40+ social media platforms.

Enables management of iOS/macOS apps, TestFlight builds, app metadata, analytics, and more through natural language interactions with Apple Store Connect API.

Enables AI-assisted music composition through copyable pattern templates, style constraints, and arrangement tools that compile to MIDI files. Provides 30+ tools for managing musical structures, layers, patterns, and styles with deterministic compilation from YAML arrangements.

MCP server that enables LLMs to search, play, and manage music from multiple platforms (NetEase, QQ, Kugou) and local files, with lyrics retrieval and playback control.

MCP server for Apple event liveblog updates from Engadget, MacRumors, iClarified, and Macworld, enabling AI agents to search, summarize, and monitor posts with optional webhook notifications.

Provides programmatic access to Apple's container CLI tool on macOS, enabling users to perform 50+ container operations including creation, management, and system control of Apple Silicon containers.

Enables AI assistants to search, play, queue, pause, resume, and skip tracks in a shared music room via stdio MCP tools, while a synchronized PWA mini/full player serves human listeners.