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)

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

# 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

# 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

{
  "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

{
  "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:

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 - Get running in minutes
• Installation Guide - Detailed setup instructions
• Configuration Guide - Advanced configuration options

Learn More

• Usage Examples - Real-world examples
• Collection Organization - Best practices
• Album Handling - Understanding album types

Get Help

• FAQ - Common questions
• Troubleshooting - Problem solving
• Rating System - 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

# 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** 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** 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

Permission is hereby granted, free of charge, to any person obtaining a copy

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furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all

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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR

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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE

SOFTWARE.