rekordbox-mcp
MCP server for rekordbox DJ database access. Provides read-only querying of tracks, playlists, and DJ session history from encrypted rekordbox SQLite databases using pyrekordbox.
README
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
- Read-Only Operations: Safe database access without modification risks
🔍 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 Access: View and analyze playlist content including smart playlists
- History Analysis: Access complete DJ session history and performance data
- Library Statistics: Comprehensive analytics and insights
Architecture
This project consists of two complementary approaches:
Python Server (Current)
- 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
TypeScript Server (Legacy)
- XML-based Access: Uses rekordbox XML exports for read-only operations
- MCP SDK: Built with the official TypeScript MCP SDK
- Static Analysis: Perfect for analysis without database modification risk
⚠️ Important Safety Notice
BACKUP YOUR REKORDBOX LIBRARY BEFORE USE
This software directly accesses your rekordbox database for analysis and querying. While currently read-only, 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)
- 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
Search & Query
search_tracks- Advanced track search with multiple filtersget_track_details- Detailed track information including metadataget_library_stats- Comprehensive library statisticsget_playlists- List all playlists (including smart playlists)get_playlist_tracks- Get tracks in a specific playlist
DJ History
get_history_sessions- Browse all DJ session historyget_session_tracks- Get full tracklist for any DJ sessionget_recent_sessions- Filter recent DJ sessionsget_history_stats- Comprehensive DJ performance statisticssearch_history_sessions- Search sessions by date, tracks, etc.
Database Operations
connect_database- Establish database connection
Resources
database-status- Current connection status and basic stats
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()
Safety Features
- Read-Only Operations: Currently operates in read-only mode for safe database access
- Connection Validation: Validates database connections and access
- Error Handling: Comprehensive error handling with detailed logging
- Input Validation: Input validation for all database 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.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.