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.

Listed On

Projects I've Built With This

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

Listening Insights:

• Your top artists and tracks (short/medium/long term)
• Recently played history

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

Playlist Maintenance:

• Find and remove duplicate tracks
• Compare two playlists (shared vs unique tracks)
• Bulk remove and reorder tracks, update playlist details
• Export any playlist to CSV

Bulk Library Actions:

• Follow/unfollow artists in bulk
• Save/unsave tracks in bulk

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 spotify_bulk_actions_mcp.utils.auth import is_authenticated; print('Auth OK!' if is_authenticated() else 'Not authenticated')"

Option B: Hosted (claude.ai custom connector)

This server also runs as a remote MCP over streamable HTTP (MCP_TRANSPORT=http), fronted by OAuth 2.1 (WorkOS AuthKit) with a fail-closed user allowlist. That's how the author runs it: Cloud Run + Secret Manager for the Spotify refresh token, added to claude.ai as a custom connector. Tools carry readOnlyHint/destructiveHint annotations so clients can group read vs write actions. See Dockerfile and the deploy notes in the parent collection repo.

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/spotify-bulk-actions-mcp"
    }
  }
}

Restart Claude Code after adding this.

Available Tools (33)

Library Analysis

Listening Insights

Bulk Library Actions

Search

Playlist Creation

Playlist Management

Utilities

How This Differs From the Official Spotify Connector

Claude has an official Spotify connector (built by Spotify, April 2026). It's excellent at what it does — but its tool surface is small, and this MCP exists for everything it doesn't cover. As of August 2026 the official connector exposes 8 tools: Search Spotify, Create Playlist, Get Currently Playing, Add to Library, Remove from Library, Fetch Playlist Tracks, and two auth utilities.

One more difference: the official connector runs on Spotify's partner-gated MCP gateway (no dynamic client registration; tokens from ordinary developer apps are rejected), so it's only usable inside partnered AI surfaces. This MCP runs under your own Spotify developer app — Development Mode limits apply (5 allowlisted users per Client ID as of February 2026), but you control it end to end.

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

2. 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