Spotify MCP Server (Express.js)

This is a Model Context Protocol (MCP) server implementation that allows AI assistants to interact with Spotify's API. The server provides endpoints for searching tracks, getting artist information, and managing playlists.

Setup

1. Create a Spotify Developer account and create a new application at Spotify Developer Dashboard.
2. Get your Client ID and Client Secret from your Spotify application.
3. Create a .env file in the root directory with the following content:

SPOTIFY_CLIENT_ID=your_client_id
SPOTIFY_CLIENT_SECRET=your_client_secret
SPOTIFY_REDIRECT_URI=http://localhost:3000/callback

4. Install dependencies:

npm install

5. Run the server:

npm start

Available Endpoints

The server implements the following MCP endpoints:

• POST /mcp/search - Search for tracks, artists, or albums.
• GET /mcp/artist/{artistId} - Get detailed information about an artist.
• GET /mcp/track/{trackId} - Get detailed information about a track.
• GET /mcp/playlist/{playlistId} - Get playlist information.
• GET /mcp/me/top-tracks - Get user's top tracks (requires authentication).
• GET /mcp/me/playlists - Get user's playlists (requires authentication).
• GET /mcp/me/tracks - Get user's saved tracks (requires authentication).
• GET /mcp/auth/login - Generate a Spotify login URL for user authentication.
• GET /callback - Handle Spotify OAuth callback and exchange authorization code for an access token.
• POST /mcp/auth/refresh - Refresh a user's access token.

Example Usage

Here's an example of how an AI assistant can interact with the server:

// Search for a track
const searchResponse = await fetch('http://localhost:3000/mcp/search', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    query: 'Bohemian Rhapsody',
    type: 'track'
  })
});
const searchData = await searchResponse.json();

// Get artist information
const artistResponse = await fetch('http://localhost:3000/mcp/artist/1dfeR4HaWDbWqJHLk5g1d1');
const artistData = await artistResponse.json();

MCP Protocol Implementation

This server implements the Model Context Protocol, allowing AI assistants to:

1. Authenticate with Spotify.
2. Search for music content.
3. Retrieve detailed information about artists, tracks, and playlists.
4. Access personalized user data (with proper authentication).

Security Note

Make sure to keep your .env file secure and never commit it to version control. The server uses environment variables to manage sensitive credentials.