A powerful Model Context Protocol (MCP) server that provides intelligent access to your local music collection through advanced metadata management
A powerful Model Context Protocol (MCP) server that provides intelligent access to your local music collection through advanced metadata management, album type
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Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| Validation | validate_band_metadata - Dry-run validation |
| Analytics | analyze_collection_insights - Comprehensive collection analysis |
{
"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"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
| Variable | Description | Required |
|---|---|---|
| MUSIC_ROOT_PATH | Declared in the maintainer’s client configuration. | Yes |
| CACHE_DURATION_DAYS | Declared in the maintainer’s client configuration. | Optional |
| LOG_LEVEL | Declared in the maintainer’s client configuration. | Optional |
Enables AI assistants to control Spotify playback and manage playlists via the Model Context Protocol.
Allows AI assistants to query movie and TV show collections managed by Radarr and Sonarr.
Google video results for AI agents: YouTube, TikTok and more, with channel and duration.
Public Spotify metadata, lyrics and podcasts for LLM agents. No API key, read-only.
MCP server for image analysis using GPT-4o-mini
Read campaigns and performance, inspect targeting and prepare changes for explicitly selected accounts.