Rekordbox MCP Server

A comprehensive Model Context Protocol (MCP) server for rekordbox database management with real-time database access.

Built using pyrekordbox - This project is not affiliated with the pyrekordbox project or its maintainers.

Features

🗄️ Database Access

• Direct SQLite Database Connection: Access the encrypted rekordbox database directly using pyrekordbox

• Real-time Queries: Search and filter tracks with comprehensive criteria

• Safe Mutation Operations: Playlist management with automatic backups and safety annotations

🔍 Search & Discovery

• Advanced Search: Multi-field search across artist, title, genre, key, BPM, and more

• Musical Key Filtering: Find tracks in compatible keys for harmonic mixing

• BPM Range Queries: Search by tempo ranges for beatmatching

• Rating and Play Count Filters: Discover your most loved and most played tracks

📊 Analytics & Insights

• Library Statistics: Comprehensive stats including genre distribution, average BPM, total playtime

• Play Count Analytics: Track listening patterns and habits

• Collection Insights: Understand your music library composition

• DJ History Access: Full access to your DJ session history and performance data

⚙️ Database Operations

• Playlist Management: Create, modify, and delete playlists with safety protections

• Batch Operations: Add multiple tracks to playlists efficiently

• History Analysis: Access complete DJ session history and performance data

• Library Statistics: Comprehensive analytics and insights

Related MCP server: MySQL Database Access

Architecture

• FastMCP Framework: Modern Python MCP server using FastMCP 2.0

• pyrekordbox Integration: Mature library for encrypted database access

• Real-time Database Queries: Direct SQLite operations with SQLCipher support

• Production Ready: Built-in logging, error handling, and safety features

⚠️ Important Safety Notice

BACKUP YOUR REKORDBOX LIBRARY BEFORE USE

This software directly accesses your rekordbox database. Always create a backup of your entire rekordbox library before using this tool as a precautionary measure.

Backup Requirements

You should create a complete backup of your rekordbox library before using this software. Consult rekordbox documentation or support resources for proper backup procedures for your specific setup and rekordbox version.

Risk Acknowledgment

• ⚠️ This project accesses your rekordbox database directly

• ⚠️ Use at your own risk - no warranty provided

• ⚠️ Test thoroughly with backups before using on your main library

• ⚠️ The developers are not responsible for any data loss or damage

If you are not comfortable with these risks, use the read-only XML export functionality instead.

Quick Start

Prerequisites

• Python 3.12+

• rekordbox 6 or 7 installed with an existing library

• COMPLETE BACKUP of your rekordbox library (see safety notice above)

• Read-only tools (search, stats, history) work while rekordbox is open

• Write tools (create playlist, add tracks, cleanup) require rekordbox to be closed — pyrekordbox blocks commits when rekordbox is running

• Access to your rekordbox database (automatic detection supported)

Installation

# Install dependencies with uv
uv sync

# Run the server
uv run rekordbox-mcp

Configuration

The server supports both automatic database detection and manual configuration:

# Auto-detect rekordbox database (recommended)
uv run rekordbox-mcp

# Specify custom database path
uv run rekordbox-mcp --database-path /path/to/rekordbox/Pioneer

MCP Client Setup

Add to your Claude Desktop configuration:

{
  "mcpServers": {
    "rekordbox-database": {
      "command": "uv",
      "args": ["run", "rekordbox-mcp"],
      "cwd": "/path/to/rekordbox-mcp"
    }
  }
}

Available Tools (31 tools + 1 resource)

Search & Discovery

• search_tracks - Advanced multi-field track search with filtering (genre, key, BPM, artist, title, rating, etc.)

• get_track_details - Get full metadata for a specific track by ID

• get_tracks_by_key - Find tracks in a specific musical key (e.g., "5A", "12B")

• get_tracks_by_bpm_range - Find tracks within a BPM range

• get_genre_filepaths - Get filepaths for tracks matching a genre (token-efficient, returns only paths)

• get_most_played_tracks - Get tracks ranked by play count

• get_top_rated_tracks - Get tracks ranked by rating

• get_unplayed_tracks - Get tracks with zero play count

• get_track_file_path - Get the file system path for a specific track

• search_tracks_by_filename - Search tracks by partial filename match

Library Analytics

• get_library_stats - Comprehensive library statistics (track count, playtime, BPM, genres)

• analyze_library - Custom grouping and aggregation (by genre, key, year, artist, or rating)

• validate_track_ids - Verify a list of track IDs and report which are valid/invalid

Playlist Operations

• get_playlists - List all playlists including smart playlists

• get_playlist_tracks - Get all tracks in a specific playlist

• create_playlist - Create new playlist or folder ⚠️ (Mutation)

• add_track_to_playlist - Add single track to playlist ⚠️ (Mutation)

• add_tracks_to_playlist - Add multiple tracks to playlist in one operation ⚠️ (Mutation)

• remove_track_from_playlist - Remove track from playlist ⚠️ (Mutation)

• delete_playlist - Delete playlist permanently ⚠️ (Destructive)

DJ History & Analytics

• get_history_sessions - Get all DJ history sessions with metadata

• get_session_tracks - Get all tracks played in a specific session

• get_recent_sessions - Get sessions within a specified number of days

• search_history_sessions - Search sessions by name, year, month, or minimum track count

• get_history_stats - Comprehensive DJ performance statistics and insights

Track Import

• import_track - Import a single audio file into the library; reads ID3 tags via mutagen by default, accepts metadata overrides ⚠️ (Mutation)

• import_tracks - Batch-import files and/or directories (recursive, extension filter); returns track IDs for follow-up playlist actions ⚠️ (Mutation)

ℹ️ Imported tracks are unanalyzed — waveforms, beatgrids, and hot cues are generated by rekordbox itself. After import, open rekordbox and run Analyze Tracks on the new imports. Supported formats: mp3, m4a, flac, wav, aiff.

Library Cleanup

• find_broken_tracks - Scan for missing files, Apple Music streams, empty paths, and orphaned playlist refs

• cleanup_orphaned_playlist_entries - Remove stale playlist entries referencing deleted tracks ⚠️ (Mutation)

• remove_broken_tracks - Soft-delete tracks by ID and remove from all playlists ⚠️ (Destructive)

Database Management

• connect_database - Explicitly connect with optional custom database path

Resources

• database-status - Current connection status and basic stats

⚠️ Mutation operations modify your rekordbox database and create automatic backups
⚠️ Destructive operations permanently delete data and require extra confirmation

Examples

Search for tracks by key and BPM

# Find tracks in 5A key with BPM between 120-130
search_tracks(key="5A", bpm_min=120, bpm_max=130, limit=20)

Access DJ History

# Get recent DJ sessions
get_recent_sessions(days=30)

# Get tracks from a specific session
get_session_tracks(session_id="12345")

Get library insights

# Comprehensive library statistics
get_library_stats()

# DJ performance statistics
get_history_stats()

Playlist Management

# Create a new playlist
create_playlist(name="Hidden Bangers", parent_id="root")

# Add single track to playlist
add_track_to_playlist(playlist_id="136766232", track_id="218048716")

# Add multiple tracks efficiently (recommended for batch operations)
add_tracks_to_playlist(
    playlist_id="136766232", 
    track_ids=["218048716", "253968855", "148359536", "76341043"]
)

# Remove track from playlist
remove_track_from_playlist(playlist_id="136766232", track_id="218048716")

# Delete playlist (with safety confirmation)
delete_playlist(playlist_id="136766232")

Importing New Tracks

# Import a single file — auto-reads ID3 tags, allows overrides
import_track(
    path="/Users/me/Downloads/new_banger.mp3",
    rating=5,
    genre="Deep House",
)

# Batch-import a directory (recursive by default) and stage for analysis
result = import_tracks(
    paths=["/Users/me/Auditioned/March"],
    recursive=True,
    auto_tag=True,
)

# Park imports in a playlist so they're easy to find in rekordbox
create_playlist(name="Unanalyzed Imports")
add_tracks_to_playlist(
    playlist_id="<id from above>",
    track_ids=[t["track_id"] for t in result["imported"]],
)
# Then open rekordbox and run Analyze Tracks on that playlist.

Safety Features

• Automatic Backups: All mutation operations create automatic database backups before changes

• FastMCP Safety Annotations: Proper safety hints for mutation and destructive operations

• Smart Playlist Protection: Prevents deletion of intelligent playlists

• Connection Validation: Validates database connections and access

• Error Handling: Comprehensive error handling with detailed logging and rollback

• Input Validation: Input validation for all database operations

• Batch Operation Safety: Detailed reporting on success/failure of batch operations

⚠️ Important: These safety features are supplementary protections. Always maintain your own backups and use this software at your own risk.

Development

Project Structure

rekordbox_mcp/
   __init__.py          # Package initialization
   server.py            # FastMCP server and tool definitions
   database.py          # Database connection and operations
   models.py            # Pydantic data models

Running Tests

uv run pytest

Code Quality

# Format code
uv run black rekordbox_mcp/

# Lint code
uv run ruff rekordbox_mcp/

# Type checking
uv run mypy rekordbox_mcp/

License

MIT License

Disclaimer

⚠️ USE AT YOUR OWN RISK ⚠️

• This project is not affiliated with AlphaTheta (Pioneer DJ) or the pyrekordbox project

• This software directly accesses your rekordbox database

• No warranty or guarantee is provided

• The developers are not responsible for any damage to your rekordbox library

• You assume all risk when using this software

ALWAYS backup your rekordbox library before use. Test thoroughly with backup copies before using on your main library.

By using this software, you acknowledge that you understand these risks and agree to use it at your own responsibility.