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Independent project, not affiliated with Anthropic

Spotify Bulk Actions Mcp

khglynn/spotify-bulk-actions-mcp
1authSTDIOregistry active
Summary

Connects Claude to Spotify's API with batch operations designed for handling hundreds of songs at once. Includes 18 tools covering library exports (all liked songs, followed artists, albums by save count), bulk track search with confidence scoring, and playlist creation from CSV imports. The confidence scoring system flags uncertain matches for human review before adding them to playlists, which is useful when importing song lists from podcast show notes or other text sources. Handles rate limiting and token refresh automatically. Author built it to manage playlists sourced from podcast episodes and maintain a 10k+ song library. Requires Spotify developer credentials and one-time OAuth setup before connecting to Claude.

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Spotify Bulk Actions MCP

Spotify Bulk Actions MCP

A Model Context Protocol (MCP) server for bulk Spotify operations - batch playlist creation, library exports, and large-scale library management.

What makes this different from other Spotify MCPs?

  • Confidence scoring - Batch searches return HIGH/MEDIUM/LOW confidence for each match
  • Human-in-the-loop - Uncertain matches are exported for review, then re-imported
  • Bulk operations - Handle 500+ songs efficiently with rate limiting built-in
  • Library exports - Export your complete library data
  • Podcast playlist focused - Built specifically for importing song lists from podcast show notes

Support This Project

Made cause I can't not have headphones on, support my 80k+ pocast subscriptions. Buy Me A Coffee


Listed On

DirectoryLink
PyPIpypi.org/project/spotify-bulk-actions-mcp
mcp.somcp.so/server/spotify-bulk-actions-mcp
awesome-mcp-serversPR #1541 (pending)

Projects I've Built With This

ProjectDescriptionLinks
recordOSWhich albums do you love most? A visual album collection appLive · Repo
Festival NavigatorNavigate multi-day festivals with friendsRepo

Playlists Maintained With This MCP

Coming soon: Switched On Pop, This American Life, and more podcast playlists


What This Does

Library Analysis:

  • Get all your followed artists
  • Get all saved/liked songs (handles libraries up to 10k songs)
  • Find unique artists from your library ranked by song count
  • Find albums where you have 6+ saved songs (great for vinyl shopping!)
  • Export your complete library summary

Bulk Playlist Creation:

  • Import song lists from CSV files (for podcast playlists, etc.)
  • Batch search with confidence scoring (HIGH/MEDIUM/LOW)
  • Automatic handling of uncertain matches for human review
  • Create playlists from search results

Quick Start

1. Prerequisites

  • Python 3.10+
  • A Spotify account
  • Spotify Developer credentials (get them here)

2. Clone & Setup

# Clone the repo
git clone https://github.com/khglynn/spotify-bulk-actions-mcp.git
cd spotify-bulk-actions-mcp

# Create and activate virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install the package
pip install -e .

# Copy env example and add your credentials
cp .env.example .env
# Edit .env with your SPOTIFY_CLIENT_ID and SPOTIFY_CLIENT_SECRET

Also on PyPI: pip install spotify-bulk-actions-mcp - but you'll still need local .env and auth setup.

3. Authenticate with Spotify (One-Time)

This opens a browser for you to log in:

python setup_auth.py

After login, your token is saved locally in .spotify_cache/.

4. Test It Works

source venv/bin/activate
python -c "from src.utils.auth import is_authenticated; print('Auth OK!' if is_authenticated() else 'Not authenticated')"

5. Connect to Claude Code

Add this to your Claude Code settings (~/.claude/settings.local.json):

{
  "mcpServers": {
    "spotify": {
      "command": "/path/to/spotify-bulk-actions-mcp/venv/bin/python",
      "args": ["/path/to/spotify-bulk-actions-mcp/src/server.py"]
    }
  }
}

Restart Claude Code after adding this.

Available Tools (18)

Library Analysis

ToolDescription
check_auth_statusVerify Spotify auth is working
get_followed_artistsGet all artists you follow
get_saved_tracksGet all your liked songs
get_library_artistsArtists from saved songs, ranked by count
get_albums_by_song_countAlbums with N+ saved songs
export_library_summaryComplete library export

Search

ToolDescription
search_trackSearch for a single track
search_track_fuzzyBroader search when exact fails
batch_search_tracksSearch many tracks with confidence scores
get_track_preview_urlGet 30-second preview URL

Playlists

ToolDescription
create_playlistCreate a new playlist
add_tracks_to_playlistAdd tracks to existing playlist
import_and_create_playlistFull CSV → playlist workflow
create_playlist_from_search_resultsCreate from batch search
add_reviewed_tracksAdd reviewed/corrected tracks
get_playlist_infoGet playlist details

Utilities

ToolDescription
parse_song_list_csvValidate a song CSV
export_review_csvExport uncertain matches for review

Example Workflows

Get Your Library Stats

Ask Claude:

"What artists do I have the most saved songs from?"

Claude will use get_library_artists and show you.

Find Albums for Vinyl

Ask Claude:

"Find albums where I have 6 or more saved songs"

Claude will use get_albums_by_song_count with min_songs=6.

Create Playlist from Song List

  1. Create a CSV file:
title,artist
Bohemian Rhapsody,Queen
Hotel California,Eagles
Billie Jean,Michael Jackson
  1. Ask Claude:

"Create a playlist called 'My Mix' from this CSV: [paste CSV]"

Claude will:

  1. Parse the CSV
  2. Search each song with confidence scoring
  3. Create the playlist with high-confidence matches
  4. Show you uncertain matches to review

Bulk Podcast Playlist

For large lists (500+ songs):

  1. Ask Claude to use batch_search_tracks with your song list
  2. Review the results (HIGH goes in automatically)
  3. Use export_review_csv to get uncertain matches
  4. Review/correct in a spreadsheet
  5. Use add_reviewed_tracks to add your corrections

Rate Limits

The server handles Spotify's rate limits automatically:

  • Small delays between API calls
  • Automatic retry on 429 errors
  • Caching to reduce repeat calls

For 10k songs, expect the initial library fetch to take 2-3 minutes.

Files & Data

LocationPurpose
.envYour Spotify credentials (gitignored)
.spotify_cache/Auth tokens and cached data (gitignored)
src/server.pyMain MCP server
src/tools/Tool implementations

Troubleshooting

"Not authenticated" error:

python setup_auth.py

Rate limit errors: Wait a few minutes and try again. The server will auto-retry.

Token expired: The server auto-refreshes tokens. If issues persist, re-run setup_auth.py.

Security Notes

  • Your credentials are in .env (gitignored, never committed)
  • Auth tokens are stored locally in .spotify_cache/
  • Never share your .env or token files
  • If credentials are exposed, rotate them in Spotify Dashboard

License

MIT


Made cause I can't not have headphones on. If this helps you, buy me a coffee!

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Configuration

SPOTIFY_CLIENT_ID*

Spotify API Client ID from developer.spotify.com

SPOTIFY_CLIENT_SECRET*secret

Spotify API Client Secret from developer.spotify.com

Categories
Media & Entertainment
Registryactive
Packagespotify-bulk-actions-mcp
TransportSTDIO
AuthRequired
UpdatedDec 12, 2025
View on GitHub

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