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/

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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
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

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