Tidal Mcp

🎵 TIDAL MCP (Community Maintained Fork)

📢 Active Maintenance Notice: This is an actively maintained community fork of yuhuacheng/tidal-mcp. The original repository appears unmaintained since May 2025. Contributions, issues, and PRs are welcome here!

[Active Development] [Docker Support] [Python 3.10+] [MCP Compatible]

[Demo: Music Recommendations in Action]

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.

🆕 What's New in This Fork

This community fork includes significant improvements over the original:

• ✅ Docker Support: Full Docker and docker-compose setup for easy deployment
• ✅ Search Functionality: Search for tracks, albums, artists, and playlists across TIDAL
• ✅ Pagination: Fetch all tracks from large playlists (no more 50-track limit!)
• ✅ Complete Playlist Editing: Add, remove, reorder tracks, and update metadata
• ✅ Refactored Codebase: ~60% smaller files with better organization and maintainability
• ✅ DRY Pagination Helper: Reusable pagination utilities across all endpoints

See the full changelog and contribute at: https://github.com/ibeal/tidal-mcp

Features

• 🌟 Music Recommendations: Get personalized track recommendations based on your listening history plus your custom criteria
• 🎵 Full Playlist Management: Create, view, edit, and delete playlists with complete control
• 🔍 Advanced Search: Search across tracks, albums, artists, and playlists
• 📄 Smart Pagination: Automatically fetch all tracks from playlists of any size
• 🎛️ Playlist Editing: Add, remove, reorder tracks, and update metadata
• 🐳 Docker Ready: Easy deployment with Docker and docker-compose support
• 🔐 OAuth Authentication: Secure browser-based TIDAL login flow

Quick Start

Prerequisites

• Python 3.10+ OR Docker
• uv (Python package manager) - only needed for non-Docker installation
• TIDAL subscription

Installation

Option 1: Docker (Recommended)

1. Clone this repository:

   bash

   git clone https://github.com/ibeal/tidal-mcp.gitcd tidal-mcp

2. Build and run with Docker Compose:

   bash

   docker-compose up -d

   Or with Docker directly:

   bash

   docker build -t tidal-mcp .docker run -d -p 5050:5050 --name tidal-mcp tidal-mcp

   The server will be available at http://localhost:5050.

3. To customize the port, edit the TIDAL_MCP_PORT environment variable in docker-compose.yml or pass it to docker run:

   bash

   docker run -d -p 5100:5100 -e TIDAL_MCP_PORT=5100 --name tidal-mcp tidal-mcp

Option 2: Local Python Installation

1. Clone this repository:

   bash

   git clone https://github.com/ibeal/tidal-mcp.gitcd tidal-mcp

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

   bash

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

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

   bash

   uv pip install --editable .

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

MCP Client Configuration

Claude Desktop Configuration

To add this MCP server to Claude Desktop, you need to update the MCP configuration file.

Option 1: Docker Configuration (if using Docker)

{  "mcpServers": {    "TIDAL Integration": {      "command": "docker",      "args": [        "run",        "--rm",        "-i",        "--network",        "host",        "-v",        "/tmp:/tmp",        "tidal-mcp"      ],      "env": {        "TIDAL_MCP_PORT": "5050"      }    }  }}

Setup:

1. Build the Docker image:

   bash

   docker build -t tidal-mcp .

2. Authenticate with TIDAL (run this once):

   bash

   docker-compose -f docker-compose.auth.yml run --rm tidal-auth

   You'll see the OAuth URL in the output:

   ============================================================TIDAL LOGIN REQUIREDPlease open this URL in your browser:
   https://link.tidal.com/XXXXX
   Expires in 300 seconds============================================================

   Open the URL in your browser, log in to TIDAL, and the session will be saved to /tmp/tidal-session-oauth.json.

3. Update your Claude Desktop config (see above) and restart Claude Desktop.

Configuration details:

• --network host - Allows the container to use the host's network directly
• -v /tmp:/tmp - Mounts the host's /tmp directory so the TIDAL session persists across container restarts

To use a custom port:

{  "mcpServers": {    "TIDAL Integration": {      "command": "docker",      "args": [        "run",        "--rm",        "-i",        "--network",        "host",        "-v",        "/tmp:/tmp",        "-e",        "TIDAL_MCP_PORT=5100",        "tidal-mcp"      ]    }  }}

Option 2: Local Python Configuration (if not using Docker)

{  "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: [Claude MCP Configuration]

Cursor Configuration

For Cursor users, add this configuration to your MCP settings file (~/.cursor/mcp.json):

{  "mcpServers": {    "TIDAL Integration": {      "command": "/path/to/your/project/tidal-mcp/.venv/bin/python",      "env": {        "TIDAL_MCP_PORT": "5100"      },      "args": ["/path/to/your/project/tidal-mcp/start_mcp.py"]    }  }}

Important: Replace /path/to/your/project/tidal-mcp with the actual path to your project directory.

Steps to Install MCP Configuration in Cursor

1. Create or edit the MCP configuration file at ~/.cursor/mcp.json
2. Add the TIDAL Integration configuration above
3. Update the paths to match your actual project location
4. Save the file
5. Restart Cursor to load the new MCP server

Steps to Install MCP Configuration in Claude Desktop

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 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.”

💡 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:

Authentication & Core Features

• tidal_login: Authenticate with TIDAL through browser login flow
• get_favorite_tracks: Retrieve your favorite tracks from TIDAL
• recommend_tracks: Get personalized music recommendations

Playlist Management

• 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 (with automatic pagination)
• delete_tidal_playlist: Delete a playlist from your TIDAL account
• add_tracks_to_playlist: Add tracks to an existing playlist
• remove_tracks_from_playlist: Remove tracks by ID or position index
• update_playlist_metadata: Update playlist title and/or description
• reorder_playlist_tracks: Move tracks to different positions within a playlist

Search & Discovery

• search_tidal: Comprehensive search across all TIDAL content types
• search_tracks: Search specifically for tracks/songs
• search_albums: Search specifically for albums
• search_artists: Search specifically for artists
• search_playlists: Search specifically for playlists

License

MIT License

Contributing

This is an actively maintained community fork. Contributions are welcome!

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

Acknowledgements

Original Project:

• yuhuacheng/tidal-mcp - Original TIDAL MCP implementation

Contributors:

• ra100 - Search functionality features

Libraries & Frameworks:

• Model Context Protocol (MCP)
• TIDAL Python API