TIDAL Music

yuhuacheng/tidal-mcp

TIDAL MCP is a personalized music recommendation system that filters the TIDAL catalog through an LLM combined with user-defined criteria, supporting intelligent recommendations based on listening history/playlists and playlist management.

View on GitHub11

Install

Client configuration

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

Environment variables

TIDAL_MCP_PORT

GitHub stars: 11
Author: @yuhuacheng
Category: Entertainment & Media, AI Chatbot
License: MIT
Updated: Oct 6, 2026

About TIDAL Music

With TIDAL MCP, you can ask for things like:

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.

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

Tools (6)

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_playlist_tracks
Retrieve all tracks from a specific playlist
delete_tidal_playlist
Delete a playlist from your TIDAL account

Details on this page are taken from the project's README. Open README

Supported clients

Clients mentioned in this server's README:

View all

Claude Desktop

Desktop · Freemium · Proprietary

Anthropic's official Claude AI desktop application. Supports MCP servers to extend functionality.

WindowsMacOS

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