# Music Collection MCP Server
A powerful Model Context Protocol (MCP) server that provides intelligent access to your local music collection through advanced metadata management, album type classification, and comprehensive analytics.
## ✨ Key Features
- **🎵 Smart Music Discovery**: Intelligent scanning with 8-type album classification (Album, EP, Live, Demo, Compilation, Single, Instrumental, Split)
- **📊 Advanced Analytics**: Collection maturity assessment, health scoring, and personalized recommendations
- **🏗️ Flexible Organization**: Support for multiple folder structures with automated migration and compliance scoring
- **⚡ High Performance**: Optimized scanning (20-30% faster), batch operations, and intelligent caching
- **🤖 AI Integration**: Works seamlessly with Claude Desktop and other MCP clients
- **🔄 Automated Setup**: One-command installation with configuration generation
## 🚀 Quick Start
### Option 1: Automated Setup (Recommended)
```bash
python scripts/setup.py
```
This guided setup will:
- Check system requirements
- Install dependencies
- Configure your music collection path
- Generate Claude Desktop configuration
- Validate your setup
### Option 2: Manual Installation
#### Using Python
```bash
# Install dependencies
pip install -r requirements.txt
# Set your music path
export MUSIC_ROOT_PATH="/path/to/your/music"
# Run the server
python main.py
```
#### Using Docker
```bash
# Build and run
docker build -t music-mcp .
docker run -v "/path/to/your/music:/music" -e MUSIC_ROOT_PATH=/music music-mcp
```
## 🤖 MCP Client Setup
### Configuration File Locations for Claude desktop
- **Windows**: `%APPDATA%\Claude\claude_desktop_config.json`
- **macOS**: `~/Library/Application Support/Claude/claude_desktop_config.json`
- **Linux**: `~/.config/Claude/claude_desktop_config.json`
### Python Installation
```json
{
"mcpServers": {
"music-collection": {
"command": "python",
"args": ["/path/to/music-mcp-server/main.py"],
"env": {
"MUSIC_ROOT_PATH": "/path/to/your/music",
"CACHE_DURATION_DAYS": "30",
"LOG_LEVEL": "INFO"
}
}
}
}
```
### Docker Installation
```json
{
"mcpServers": {
"music-collection": {
"command": "docker",
"args": [
"run", "--rm", "--interactive",
"-v", "/path/to/your/music:/music",
"-e", "MUSIC_ROOT_PATH=/music",
"-e", "CACHE_DURATION_DAYS=30",
"music-mcp"
]
}
}
}
```
## 📁 Music Organization
The server supports multiple organization patterns:
### Enhanced Structure (Recommended)
```
Band Name/
├── Album/
│ ├── 1973 - Dark Side of the Moon/
│ └── 1979 - The Wall (Deluxe)/
├── Live/
│ └── 1988 - Delicate Sound of Thunder/
├── Compilation/
│ └── 2001 - Echoes - Best Of/
└── .band_metadata.json (auto-generated)
```
### Simple Structure (Also Supported)
```
Band Name/
├── 1973 - Dark Side of the Moon/
├── 1988 - Delicate Sound of Thunder (Live)/
└── 2001 - Echoes - Best Of (Compilation)/
```
## 🛠️ MCP Capabilities
### Tools (10 total)
- **Music Discovery**: `scan_music_folders` - Smart scanning with type detection
- **Collection Management**: `get_band_list` - Advanced filtering and search
- **Metadata Storage**: `save_band_metadata`, `save_band_analyze`, `save_collection_insight`
- **Validation**: `validate_band_metadata` - Dry-run validation
- **Advanced Search**: `advanced_search_albums` - 13-parameter filtering system
- **Analytics**: `analyze_collection_insights` - Comprehensive collection analysis
- **Structure Migration**: `migrate_band_structure` - Safe folder organization migration
### Resources (3 total)
- **Band Info**: `band://info/{band_name}` - Detailed band information
- **Collection Summary**: `collection://summary` - Overview and statistics
- **Advanced Analytics**: `collection://analytics` - Deep collection analysis
### Prompts (4 total)
- **Information Gathering**: `fetch_band_info`, `analyze_band`
- **Analysis**: `compare_bands`, `collection_insights`
## ⚙️ Configuration
Configure via environment variables or the automated setup:
```bash
MUSIC_ROOT_PATH="/path/to/your/music" # Required: Your music directory
CACHE_DURATION_DAYS=30 # Optional: Cache expiration (default: 30)
LOG_LEVEL=INFO # Optional: Logging level (default: INFO)
```
## 📚 Documentation
### Get Started Quickly
- [Quick Start Guide](docs/user/QUICK_START.md) - Get running in minutes
- [Installation Guide](docs/user/INSTALLATION.md) - Detailed setup instructions
- [Configuration Guide](docs/user/CONFIGURATION.md) - Advanced configuration options
### Learn More
- [Usage Examples](docs/user/USAGE_EXAMPLES.md) - Real-world examples
- [Collection Organization](docs/user/COLLECTION_ORGANIZATION.md) - Best practices
- [Album Handling](docs/user/ALBUM_HANDLING.md) - Understanding album types
### Get Help
- [FAQ](docs/user/FAQ.md) - Common questions
- [Troubleshooting](docs/user/TROUBLESHOOTING.md) - Problem solving
- [Rating System](docs/user/RATING_SYSTEM.md) - Understanding ratings and analysis
## 🔧 Maintenance & Scripts
The `scripts/` directory provides powerful maintenance tools:
- **Setup**: `setup.py` - Automated installation and configuration
- **Docker**: `start-docker.sh` - Container management with options
- **Validation**: `validate-music-structure.py` - Collection health checking
- **Backup**: `backup-recovery.py` - Complete backup and recovery system
- **Monitoring**: `health-check.py` - Comprehensive health monitoring
## 🧪 Testing
```bash
# Using Docker (recommended)
docker build -f Dockerfile.test -t music-mcp-tests .
docker run --rm music-mcp-tests python -m pytest . -v
# Using Python
python -m pytest tests/ -v
```
## 📊 What's New
### Recent Improvements
- **Migration Tools**: Safe folder structure migration with backup and rollback
- **Advanced Analytics**: Collection maturity assessment and health scoring
- **Performance**: 20-30% faster scanning with optimized file operations
- **Separated Schema**: Local vs missing albums for better management
- **Automated Setup**: One-command installation and configuration
- **Album Types**: Intelligent 8-type classification system
- **Flexible Structure**: Support for multiple organization patterns
## 🆘 Need Help?
1. **Check the [FAQ](docs/user/FAQ.md)** for common questions
2. **Run health check**: `python scripts/health-check.py /path/to/music`
3. **Validate structure**: `python scripts/validate-music-structure.py /path/to/music`
4. **Review [Troubleshooting](docs/user/TROUBLESHOOTING.md)** guide
## 🔗 Links
- **Setup Scripts**: Complete automation in `scripts/` directory
- **Claude Desktop Configs**: Ready-to-use examples in `scripts/claude-desktop-configs/`
- **Developer Docs**: Architecture and API reference in `docs/developer/`
---
*Transform your music collection into an intelligent, searchable library with AI-powered insights!* 🎶
## Requirements
- Python 3.8+
- Docker (for containerized deployment)
## License
MIT License
Copyright (c) 2025 Music Collection MCP Server
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