spotify-library-mcp
Enables you to manage your personal Spotify library from Claude or a CLI, including organizing playlists, merging and deleting playlists, saving tracks, searching with artist verification, and querying top tracks, artists, and recently played items.
README
spotify-library-mcp
Local MCP server + CLI for managing your own Spotify library. Single user, runs on your machine, PKCE auth (no client secret needed).
Setup (one time)
- https://developer.spotify.com/dashboard → Create app
- Redirect URI:
http://127.0.0.1:8888/callback - API: Web API
- Redirect URI:
- Copy the Client ID into
.env(SPOTIFY_CLIENT_ID=...) npm install && npm run auth→ browser opens → approve → refresh token is written to.env- Verify:
node bin/spot.js playlists
Use from Claude Code
.mcp.json in this folder registers the server for this project. For every project:
claude mcp add --scope user spotify-library -- node /path/to/spotify-library-mcp/src/server.js
CLI
node bin/spot.js playlists
node bin/spot.js playlist <id>
node bin/spot.js rename <id> "New name"
node bin/spot.js merge '{"sourceIds":["a","b"],"newName":"Merged","deleteSources":true}'
node bin/spot.js delete <id>
node bin/spot.js top short_term 20
node bin/spot.js summary # whole library
node bin/spot.js summary <id> # one playlist
node bin/spot.js find "Sultans" # which playlists contain it
node bin/spot.js dupes
node bin/spot.js diff <a> <b>
node bin/spot.js snapshot weekly && node bin/spot.js changes
node bin/spot.js rediscover 4 50
Tools
Playlists — list_playlists, get_playlist, create_playlist, update_playlist, add_tracks, remove_tracks, delete_playlist, merge_playlists Library — get_saved_tracks, save_tracks, remove_saved_tracks, get_top_tracks, get_top_artists, get_recently_played Search — search, find_track (artist-verified), get_search_budget, get_api_limits Analysis (computed server-side, compact output — things Spotify users have asked for for a decade):
summarize_library— liked songs in no playlist, stale/empty playlists, cross-playlist overlaps, decades, dupessummarize_playlist— runtime, top artists, decades, duplicates, over-representationfind_in_playlists— "which of my playlists has this song?"dedupe_report— same artist+title ignoring remaster/live/edit suffixes, with ids to removeplaylist_diff— only-in-A / only-in-B / sharedsnapshot_library·list_snapshots·changes_since— backup + "what changed since last week" (renames, adds, removes, likes)rediscover— liked years ago, absent from top tracks and recent plays; spread across artists
On my library these found: 233 liked songs in no playlist, 210 near-duplicates inside playlists, 1,113 forgotten likes from 2018–2021.
Library scripts (how I reorganised 40 playlists → 9)
node scripts/pull.js library.json # snapshot playlists + likes + tops
node scripts/build.js library.json # file every track into genre collections (additive)
node scripts/moods.js # collapse genre collections into mood playlists
node scripts/curate.js library.json # like picks, build Programming + שישי
node scripts/nostalgia.js library.json # 3-generation nostalgia
node scripts/explore.js library.json # 🧭 Explore: ~400 new artists, many languages (search-heavy, resumable)
node scripts/genz.js # 🚗 Gen Z
node scripts/trending.js library.json # 📈 Trending from live popularity
The artist lists in scripts/classify.js and friends are my taste — fork and edit. Every script is additive; deletions are separate explicit spot delete calls.
Tests
npm test runs the whole flow against an in-memory mock Spotify (test/mock-spotify.js). No real credentials touched.
claude.ai connector (remote)
npm run tunnel starts src/http.js (Streamable HTTP at /<MCP_SECRET>/mcp) plus a Cloudflare quick tunnel and prints the URL to paste into claude.ai → Settings → Connectors → Add custom connector (no OAuth; the secret path is the gate).
Quick tunnels get a new hostname each start. For a stable URL either run a named Cloudflare tunnel on your own domain, or deploy src/http.js behind your existing reverse proxy (e.g. the Nightscout box) with MCP_SECRET, SPOTIFY_CLIENT_ID, SPOTIFY_REFRESH_TOKEN in the environment.
Spotify API limits (2026, apps created after Nov 2024) — baked in
| What | Status | Handled how |
|---|---|---|
/audio-features, /recommendations, related-artists |
removed | client throws a clear error before any request |
batch GET /tracks?ids=, /artists?ids= |
403 | same; use single-item endpoints |
artist genres field |
gone | no genre data available, use your own knowledge |
/playlists/{id}/tracks |
renamed /items, entries under item |
client uses new paths |
POST /users/{id}/playlists |
deprecated | POST /me/playlists |
PUT/DELETE /me/tracks |
deprecated | /me/library?uris= (max 20 per call, chunked) |
| name-only search | returns karaoke/covers | find_track tool verifies the artist |
/search quota |
~1000/day per app → 429 with retry-after ≈ 21h |
persistent daily budget (default 800, SPOTIFY_SEARCH_DAILY_CAP), result cache, ban memory — see below |
| ~500 rapid calls | silent TLS-level drop for ~10 min (no 429) | 150 ms pacing + retry with backoff |
get_api_limits tool returns this list to the model; the server's MCP instructions carry the summary too.
Search budget (learned 2026-08-23)
~1,000 /search calls in one day got this app a 429 with retry-after: 75469 (21 h). The limit is per app (client id), not per user, and it's the only quota we've hit that locks you out for a day.
What the server does about it (src/budget.js, state in .search-budget.json):
- counts searches per UTC day and refuses past
SPOTIFY_SEARCH_DAILY_CAP(default 800) with a clear error - caches every search result, so reruns of a script cost 0 searches
- remembers a ban from a long
retry-afterand fails fast until it expires — no 21-hour sleeps get_search_budgettool /searchBudget()report remaining, cached, banned-until
Bulk scripts (scripts/explore.js, genz.js, trending.js) print the budget first, stop cleanly at the cap, and resume on rerun (they skip what's already in the playlist). Plan ≈ 250 searches per script per day, or use a second Spotify app for bulk jobs.
Tomorrow's plan: ban lifts 2026-08-24 ~14:00 IDT → run explore (≈400, two days) or point a fresh client id at it.
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