Tidal MCP

🚀 TIDAL MCP: My Custom Picks 🌟🎧

TIDAL MCP is a unique music recommendation tool that enables users to get personalized music recommendations based on their listening history and custom criteria. It filters and curates results using an LLM, finds similar tracks via TIDAL’s API, and builds new playlists directly in your TIDAL account.

Most music platforms offer recommendations, such as Daily Discovery, Top Artists, and New Arrivals. However, even with the most advanced systems, these recommendations often feel too "aggregated". TIDAL MCP addresses this issue by providing more customized and context-aware music suggestions.

With TIDAL MCP, you can ask for specific music recommendations, 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.

Hosted by Modl, any commits or changes made by the Modl team is to ensure compatibility

✨ Features

• 🌟 Music Recommendations: Get personalized track recommendations based on your listening history plus your custom criteria.
• 🎵 Playlist Management: Create, view, and manage your TIDAL playlists.

🚀 Quick Start

Prerequisites

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

Installation

1. Clone this repository:

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

2. Create a virtual environment and install dependencies using uv:

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

3. Install the package with all dependencies from the pyproject.toml file:

   uv pip install --editable .
   

   This will install all dependencies defined in the pyproject.toml file and set up the project in development mode.

📚 Documentation

MCP Client Configuration

Claude Desktop Configuration

To add this MCP server to Claude Desktop, you need to update the MCP configuration file. Here's an example configuration: (you can specify the port by adding an optional env section with the TIDAL_MCP_PORT environment variable)

{
  "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 screenshot of the MCP configuration in Claude Desktop:

Steps to Install MCP Configuration

1. Open Claude Desktop
2. Go to Settings > Developer
3. Click on "Edit Config"
4. Paste the modified JSON configuration
5. Save the configuration
6. Restart Claude Desktop

Suggested Prompt Starters

Once configured, you can interact with your TIDAL account through an 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.”

💡 Usage Tip

You can also ask the model to:

• 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!

Available Tools

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

📄 License

MIT License

🙏 Acknowledgements

• Model Context Protocol (MCP)
• TIDAL Python API