TIDAL MCP: My Custom Picks

Most music platforms offer recommendations — Daily Discovery, Top Artists, New Arrivals, etc. — but even with the state-of-the-art system, they often feel too "aggregated". I wanted something more custom and context-aware.

With TIDAL MCP, you can ask for things like:

"Based on my last 10 favorites, find similar tracks — but only ones from recent years."

"Find me tracks like those in this playlist, but slower and more acoustic."

The LLM filters and curates results using your input, finds similar tracks via TIDAL’s API, and builds new playlists directly in your account.

- 🌟Music Recommendations: Get personalized track recommendations based on your listening historyplus your custom criteria.
- ၊၊||၊Playlist Management: Create, view, and manage your TIDAL playlists

- Python 3.10+
- uv(Python package manager)
- TIDAL subscription

git clone https://github.com/yuhuacheng/tidal-mcp.git cd tidal-mcp

uv venv source .venv/bin/activate # On Windows: .venv\Scripts\activate

{ "mcpServers": { "TIDAL Integration": { "command": "/path/to/your/uv", "env": { "TIDAL_MCP_PORT": "5100" }, "args": [ "run", "--with", "requests", "--with", "mcp[cli]", "--with", "flask", "--with", "tidalapi", "mcp", "run", "/path/to/your/project/tidal-mcp/mcp_server/server.py" ] } } }

Example scrrenshot of the MCP configuration in Claude Desktop:
- Open Claude Desktop
- Go to Settings > Developer
- Click on "Edit Config"
- Paste the modified JSON configuration
- Save the configuration
- Restart Claude Desktop

Once configured, you can interact with your TIDAL account through a LLM by asking questions like:

- “Recommend songs like those in this playlist, but slower and more acoustic.”
- “Create a playlist based on my top tracks, but focused on chill, late-night vibes.”
- “Find songs like these in playlist XYZ but in languages other than English.”

- Use more tracks as seeds to broaden the inspiration.
- Return more recommendations if you want a longer playlist.
- Or delete a playlist if you’re not into it — no pressure!

The TIDAL MCP integration provides the following tools:

- tidal_login: Authenticate with TIDAL through browser login flow
- get_favorite_tracks: Retrieve your favorite tracks from TIDAL
- recommend_tracks: Get personalized music recommendations
- create_tidal_playlist: Create a new playlist in your TIDAL account
- get_user_playlists: List all your playlists on TIDAL
- get_playlist_tracks: Retrieve all tracks from a specific playlist
- delete_tidal_playlist: Delete a playlist from your TIDAL account

- Model Context Protocol (MCP)
- TIDAL Python API

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