Spotify Model Context Protocol (MCP)

Spotify Model Context Protocol (MCP)

A Spotify MCP for creating playlists based on a description.

Prerequisites

• Python 3.6 or higher
• Spotify Developer credentials (Client ID and Client Secret)

Setup

1. Clone this repository:

   git clone https://github.com/yourusername/spotify-mcp.git
   cd spotify-mcp
   

2. Install the required dependencies:

   pip install -r requirements.txt
   

3. Set up your Spotify Developer credentials:

   • Go to Spotify Developer Dashboard
   • Create a new application
   • Set up your environment variables:

     echo SPOTIFY_CLIENT_ID='your_client_id' >> .env
     echo SPOTIFY_CLIENT_SECRET='your_client_secret' >> .env
     

Usage

Starting the Authentication Server

1. Set up your redirect URI in the Spotify Developer Dashboard:

   • Go to your app in the Spotify Developer Dashboard
   • Click "Edit Settings"
   • Add http://localhost:5000/callback to the Redirect URIs
   • Save the changes

2. Start the authentication server:

   python main.py
   

   This will start a local server on port 5000 that handles Spotify OAuth authentication.

3. Visit http://localhost:5000 in your browser to authenticate with Spotify.After successful authentication, your access token will be saved for use with the MCP.

Integrating with Cursor

1. Open Cursor and go to Settings
2. Navigate to the "Model Context Protocols" section
3. Click "Add MCP"
4. Enter the following details in your mcp.json, replacing PATH-TO-BASE-DIR:

{
  "mcpServers": {
    "spotify": {
        "command": "uv",
        "args": [
          "--directory",
          "PATH-TO-BASE-DIR/spotify-mcp",
          "run",
          "spotify.py"
        ]
    }
  }
}

Now you can use the Spotify MCP commands in Cursor to create and manage playlists directly from your editor!