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MCP server for TIDAL - search tracks, manage playlists, and get personalized recommendations
MCP server for TIDAL - search tracks, manage playlists, and get personalized recommendations
Valid MCP server (1 strong, 3 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
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This plugin requests these system permissions. Most are normal for its category.
Set these up before or after installing:
Environment variable: TIDAL_MCP_PORT
From the project's GitHub README.
π’ 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!

Most music platforms offer recommendations β Daily Discovery, Top Artists, New Arrivals, etc. β 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 β 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.
This community fork includes significant improvements over the original:
See the full changelog and contribute at: https://github.com/ibeal/tidal-mcp
Clone this repository:
git clone https://github.com/ibeal/tidal-mcp.git
cd tidal-mcp
Build and run with Docker Compose:
docker-compose up -d
Or with Docker directly:
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.
To customize the port, edit the TIDAL_MCP_PORT environment variable in docker-compose.yml or pass it to docker run:
docker run -d -p 5100:5100 -e TIDAL_MCP_PORT=5100 --name tidal-mcp tidal-mcp
Clone this repository:
git clone https://github.com/ibeal/tidal-mcp.git
cd tidal-mcp
Create a virtual environment and install dependencies using uv:
uv venv
source .venv/bin/activate # On Windows: .venv\Scripts\activate
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.
To add this MCP server to Claude Desktop, you need to update the MCP configuration file.
{
"mcpServers": {
"TIDAL Integration": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"--network",
"host",
"-v",
"/tmp:/tmp",
"tidal-mcp"
],
"env": {
"TIDAL_MCP_PORT": "5050"
}
}
}
}
Setup:
Build the Docker image:
docker build -t tidal-mcp .
Authenticate with TIDAL (run this once):
docker-compose -f docker-compose.auth.yml run --rm tidal-auth
You'll see the OAuth URL in the output:
============================================================
TIDAL LOGIN REQUIRED
Please 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.
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 restartsTo 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"
]
}
}
}
{
"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:

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.
~/.cursor/mcp.jsonOnce configured, you can interact with your TIDAL account through a LLM by asking questions like:
π‘ You can also ask the model to:
The TIDAL MCP integration provides the following tools:
tidal_login: Authenticate with TIDAL through browser login flowget_favorite_tracks: Retrieve your favorite tracks from TIDALrecommend_tracks: Get personalized music recommendationscreate_tidal_playlist: Create a new playlist in your TIDAL accountget_user_playlists: List all your playlists on TIDALget_playlist_tracks: Retrieve all tracks from a specific playlist (with automatic pagination)delete_tidal_playlist: Delete a playlist from your TIDAL accountadd_tracks_to_playlist: Add tracks to an existing playlistremove_tracks_from_playlist: Remove tracks by ID or position indexupdate_playlist_metadata: Update playlist title and/or descriptionreorder_playlist_tracks: Move tracks to different positions within a playlistsearch_tidal: Comprehensive search across all TIDAL content typessearch_tracks: Search specifically for tracks/songssearch_albums: Search specifically for albumssearch_artists: Search specifically for artistssearch_playlists: Search specifically for playlistsThis is an actively maintained community fork. Contributions are welcome!
git checkout -b feature/amazing-feature)git commit -m 'Add amazing feature')git push origin feature/amazing-feature)Original Project:
Contributors:
Libraries & Frameworks:
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