ChatGPT Plugin

Playlistable

AI playlists, Spotify/Apple

Brand: Playlistable

Category: Pending
Primary Subcategory: Pending

Integration details

Description

Playlistable is an AI playlist generator for Spotify and Apple Music. Describe a mood, a night, or a job to be done, and it builds a playlist in your own library — not a copy of a list you already have. In ChatGPT you can: - Generate a playlist from a mood. - Search songs or artists on the connected catalog, then save a playlist from the tracks you picked. - List, open, refine, edit, or delete playlists you already created. Sign in with Spotify or Apple Music through Playlistable OAuth. Playlists land in Your Library on the connected service. The same product is on the web at https://app.playlistable.io and at https://playlistable.io. We do not sell a music catalog. We write playlists into the account you connect.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Pending
Primary Subcategory: Pending
Secondary Subcategories: None listed
Brand: Playlistable
Access: Account required
First tracked: 2026-10-17
Tool count: 10
Geography: US

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Primary Subcategory

Competitive lineup

No Primary Subcategory assigned yetOnce Playlistable has a Primary Subcategory, the Plugins and Connectors it competes with will appear here with their scores.

Tools

10 tools agents can invoke

Create a library playlist from catalog track IDs you already have (from search_songs on the connected Spotify or Apple Music account). Free for signed-in MCP users — just saves the songs you picked. No Playlistable generator, no credits. Do not pass a mood. Prefer this when the songs are already known. For Playlistable to build the whole playlist from a mood (paid / subscription on MCP), use generate_playlist.
create_playlist
Delete a playlist from Playlistable and the connected service. Apple Music often blocks third-party library deletes — the Playlistable copy is removed, and the response may warn that the Apple Music library playlist is still there.
delete_playlist
Add or remove specific songs by catalog track IDs from the connected service (Spotify or Apple Music). Prefer refine_playlist for "make it more X" changes. Apple Music cannot always edit a library playlist in place and may recreate it (response includes warning).
edit_playlist
Build a playlist from a mood with Playlistable’s generator. This is a real playlist engine — it uses the user’s taste and listening history to make a playlist that actually works. Paid on MCP (subscription required). In-app free quota is a teaser or one full playlist, assigned server-side. If you already have catalog track IDs from search_songs, use create_playlist instead — that only saves the songs you picked, and it is free.
generate_playlist
Get a playlist details by ID.
get_playlist
Get 6 AI-generated playlist mood suggestions for the current user.
playlist_suggestions
List the user's playlists (paginated).
get_playlists
Rewrite a playlist from a natural-language instruction (same as the Playlistable app). Works for Spotify and Apple Music. Async — poll get_playlist until status is ready. Apple Music may recreate the library playlist; get_playlist will include refineWarning if it did.
refine_playlist
Search artists on the connected catalog (Spotify or Apple Music). Returns id, name, image, url, genres.
search_artists
Search tracks on the connected catalog (Spotify or Apple Music). Returns id, name, artist, image, url. Free. Use the IDs with create_playlist (free) or edit_playlist.
search_songs

FAQs

Playlistable ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology

How do I improve Playlistable's ChatGPT Plugin discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.