Apple Music
Apple streaming catalog.
Verdict
Common use cases
- Research trending tracks for social campaigns
- Pull album metadata for blog posts
- Find playlist ideas for branded content
- Track listening habits across the team
- Discover new releases in specific genres
Integration
- Vendor
- Apple Music
- Category
- productivity
- Auth
- OAUTH2
- Composio slug
apple_music
Tools
Setup
Setup guide
- 11. Go to your Switchy workspace settings and click 'Add Integration' under the MCP section. 2. Select 'Apple Music' from the catalog and click 'Connect'. 3. You'll be redirected to Apple's authorization page — sign in with your Apple ID and grant access to your library and playback controls. 4. Apple will ask you to approve scopes for reading library content, accessing listening history, and searching the catalog. 5. After approval, you'll return to Switchy with a confirmation message. 6. Open any Space, type '@Apple Music search for albums released this week' and send — the AI will invoke the MCP and return results inline. 7. If the connection fails, check that your Apple Music subscription is active and that you've granted all requested permissions.
What teammates see: by default, memories from Apple Music are scoped to the Space (PROJECT visibility) - you can mark any memory PRIVATE or share it ORG-wide.
Works well with
Top models
Compatibility data appears once enough Spaces have used this MCP together with a given model.
How Switchy teams use it
Starter prompts
Find New Releases
@Apple Music search for new releases in the indie rock genre from the last 7 days and list the top 5 with artist names and release datesOpen in a Space →
Analyze Playlist Trends
@Apple Music find the top 3 playlists tagged 'workout' and tell me which artists appear most frequently across themOpen in a Space →
Get Album Details
@Apple Music retrieve the full track list and producer credits for the album 'Midnights' by Taylor SwiftOpen in a Space →
Discover Similar Artists
@Apple Music suggest 5 artists similar to Phoebe Bridgers and include their most popular track for eachOpen in a Space →
Check Listening History
@Apple Music show me the last 10 songs I played and group them by genreOpen in a Space →
Example outputs
Illustrative - representative of the model's voice and quality, not literal recordings.
@Apple Music what are the top 5 most played songs in my library this month?
Based on your Apple Music library activity, your most played tracks this month are: 1) 'Song Title A' by Artist X (47 plays), 2) 'Song Title B' by Artist Y (39 plays), 3) 'Song Title C' by Artist Z (34 plays), 4) 'Song Title D' by Artist X (28 plays), 5) 'Song Title E' by Artist W (26 plays). Your listening this month skews heavily toward indie rock, with Artist X appearing twice in your top five.
This example shows read access to your listening history and library stats. Requires OAuth2 consent with read permissions for library and playback data. Apple Music API rate limits apply — bulk historical queries may take longer or require pagination for large libraries.
@Apple Music create a playlist called 'Focus Flow' with 20 instrumental tracks similar to my recent ambient favorites
Created playlist 'Focus Flow' in your Apple Music library with 20 instrumental tracks. The selection includes ambient, lo-fi, and downtempo tracks algorithmically matched to your recent listening patterns in those genres. Playlist is now available in your library and can be edited or shared from the Apple Music app.
Demonstrates write capability — the MCP can create playlists and add tracks on your behalf. Requires OAuth2 write permissions. Playlist generation relies on Apple's recommendation algorithms; results vary based on your listening history depth. Side-effect: a new playlist appears immediately in your account.
@Apple Music analyze my saved playlists and suggest which ones have the most overlap so I can consolidate them
Analyzed 18 playlists in your library. High overlap detected: 'Workout Mix' and 'Gym Jams' share 14 of 25 tracks (56% overlap). 'Chill Vibes' and 'Sunday Morning' share 9 of 30 tracks (30% overlap). 'Road Trip 2023' and 'Summer Hits' share 7 of 22 tracks (32% overlap). Consider merging the workout playlists first — they're nearly identical in content and mood.
Showcases synthesis: the MCP fetches playlist data, the AI performs comparative analysis and offers actionable recommendations. Useful for library cleanup but requires read access to all playlists. Processing time scales with playlist count — accounts with 50+ playlists may see slower responses.
Use-case deep-dives
When shared music curation beats Spotify for remote teams
A 6-person design team working across three time zones wants a shared focus-music rotation without everyone paying for the same Spotify Family plan. Apple Music's OAuth2 flow lets Switchy pull playlists and queue tracks without storing credentials, so the team lead can rotate a "deep work" playlist every Monday and push it to the shared workspace. The trade-off: if your team is already on Spotify or YouTube Music, switching ecosystems for this alone doesn't make sense. But if half the team is already on Apple Music for personal use, this MCP turns individual subscriptions into a lightweight team asset. Best for teams under 10 people who want music sync without adding another SaaS bill.
Why this MCP works for agencies building branded decks
A 4-person creative agency preps client pitch decks with mood-board soundtracks—think product launch videos or brand workshops. The Apple Music MCP lets them search the catalog, pull track metadata, and embed preview links in Notion or Figma without leaving Switchy. OAuth2 means each team member authenticates once, and the workspace inherits access to their libraries. The boundary: if you need full playback control or want to auto-generate playlists from sentiment analysis, this MCP won't cut it—those features aren't in scope yet. But for teams that treat music as a creative reference (not a playback engine), this is the fastest way to tie Apple Music into your workflow without a Zapier tax.
When Apple Music beats Google Sheets for team event planning
A 12-person startup plans a quarterly offsite and wants everyone to contribute to the venue playlist without a messy shared doc of Spotify links. The Apple Music MCP lets the ops lead create a collaborative playlist in Switchy, and teammates add tracks by searching the catalog or pulling from their own libraries. OAuth2 handles permissions so only authenticated users can edit. The catch: if your team is split between Apple Music and Spotify subscribers, you'll still need a lowest-common-denominator solution like a YouTube playlist. This MCP shines when 70%+ of your team is already on Apple Music and you want one source of truth for event music without manual link-pasting. Works best for teams under 20 people.
Frequently asked
What does the Apple Music MCP do in Switchy?
It connects your Apple Music account so AI agents can query your library, playlists, and listening history. Since no tools are captured yet, the exact capabilities depend on what Apple exposes through their API — typically search, playback control, and library management. You'd use this to let agents recommend music, build playlists, or pull listening data into workflows.
Do I need an Apple Music subscription to connect this MCP?
Yes. The OAuth2 flow requires an active Apple Music subscription tied to your Apple ID. Free Apple ID accounts won't authenticate successfully because the API gates access behind subscription status. If your team shares one subscription, only that account holder can connect the MCP — Apple doesn't support delegated access for music libraries.
Can this MCP add songs to my personal playlists?
Probably, but it depends on the scopes Apple grants during OAuth. Most music APIs let agents read libraries and create playlists, but editing existing personal playlists often requires explicit user consent per action. Check the permission screen during setup — if it only asks for read access, agents can query but not modify your library.
Why use this instead of just opening Apple Music myself?
You use this when you want AI agents to act on music data without manual lookups. For example, an agent could pull your top-played tracks into a report, auto-generate workout playlists based on BPM, or cross-reference listening habits with calendar events. If you're just playing music, open the app — this is for programmatic access inside Switchy workflows.
Does connecting Apple Music count against my Switchy plan limits?
MCP connections themselves don't count as seats or storage. However, if agents make frequent API calls to Apple Music (like querying your library every hour), those requests burn through your plan's monthly action quota. One-off queries are negligible; automated polling workflows add up. Check your usage dashboard if you're running music-heavy automations.