Spotify MCP Server
Enables interaction with Spotify through natural language for music discovery, playback control, library management, and playlist creation. Supports searching for music, controlling playback, managing saved tracks, and getting personalized recommendations based on mood and preferences.
README
Spotify MCP Server
Model Context Protocol (MCP) server that provides Spotify integration for Claude Desktop.
⚠️ This project is experimental / for personal use only
This repository is a personal project created for fun and learning. It has not been exhaustively tested or production hardened. Use at your own risk — including re-authenticating if scopes change and backing up any important data.
Features
🔍 Search
- Search for tracks, albums, artists, and playlists
🎵 Playback Control
- Get current playback state
- Play/pause, skip, previous track
- Control volume and shuffle
- Seek within tracks
📚 Library Management
- Get saved tracks
- Save and remove tracks from library
- Check if tracks are saved
🎼 Playlists
- Get user playlists
- Create new playlists
- Add/remove tracks from playlists
- Get playlist details
🎯 Recommendations
- Get personalized recommendations based on:
- Seed tracks, artists, or genres
- Mood preferences (energy, danceability, valence)
- Automatic recommendations from recent listening history
- Get available genre seeds
💬 Intelligent Prompts
- Discover Music: Get recommendations based on mood and preferences
- Analyze Now Playing: Deep analysis of currently playing track
- Create Themed Playlist: Build playlists around themes or activities
Setup
1. Create Spotify App
- Go to Spotify Developer Dashboard
- Click "Create app"
- Fill in:
- App name: "MCP Spotify" (or any name)
- App description: "Personal Spotify MCP Server"
- Redirect URI:
http://localhost:3000/callback
- Check "Web API" under "Which API/SDKs are you planning to use?"
- Agree to terms and click "Save"
- Click "Settings" to view your Client ID and Client Secret
2. Configure Environment
Create a .env file in the project root:
SPOTIFY_CLIENT_ID=your_client_id_here
SPOTIFY_CLIENT_SECRET=your_client_secret_here
SPOTIFY_REDIRECT_URI=http://localhost:3000/callback
3. Build the Server
npm install
npm run build
4. Configure Claude Desktop
Edit your Claude Desktop config file:
Windows: %APPDATA%\Claude\claude_desktop_config.json
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Add the MCP server configuration:
{
"mcpServers": {
"mcp-spotify": {
"command": "node",
"args": [
"C:\\path\\to\\mcp-spotify\\build\\index.js"
]
}
}
}
Replace C:\\path\\to\\mcp-spotify with the actual path to this project.
5. First Run Authentication
- Restart Claude Desktop
- The server will automatically open a browser for Spotify authentication
- Log in and authorize the app
- You'll be redirected to a success page
- Tokens are saved to
~/.mcp-spotify/tokens.json
Available Tools
Search
search_tracks- Search for trackssearch_albums- Search for albumssearch_artists- Search for artistssearch_playlists- Search for playlists
Playback
get_playback_state- Get current playback informationplayback_control- Control playback (play, pause, skip, previous, shuffle, volume, seek)
Library
get_saved_tracks- Get user's saved trackssave_tracks- Save tracks to libraryremove_saved_tracks- Remove tracks from libraryget_recently_played- Get recently played tracks (useful for recommendations)
Playlists
get_playlists- Get user's playlistscreate_playlist- Create a new playlistadd_tracks_to_playlist- Add tracks to a playlist
Recommendations
get_recommendations- Get track recommendations based on seeds and preferences (supportsuse_recent_listeningparameter)get_genre_seeds- Get list of available genre seeds
Available Prompts
discover_music
Discover new music based on your mood, genres, and listening preferences.
Arguments:
mood(optional): Desired mood (energetic, chill, happy, melancholic)genre(optional): Preferred genre
Example: "Discover energetic electronic music"
analyze_now_playing
Get detailed analysis of the currently playing track including audio features and recommendations.
Example: "Analyze what I'm listening to"
create_themed_playlist
Create a playlist based on a theme, mood, or activity.
Arguments:
theme: Theme or mood (e.g., "Workout", "Study", "Road Trip")size(optional): Number of tracks (default: 20)
Example: "Create a chill study playlist with 30 songs"
Example Interactions
You: "What am I currently listening to?"
→ Uses get_playback_state to show current track
You: "Find me some energetic electronic music"
→ Uses search_tracks or get_recommendations with appropriate filters
You: "Create a workout playlist"
→ Uses create_themed_playlist prompt to search, gather tracks, and create playlist
You: "Save this track to my library"
→ Uses save_tracks to add the current or mentioned track
You: "Skip to the next song"
→ Uses playback_control with action: "skip"
Project Structure
src/
├── index.ts # Main entry point, server setup
├── auth.ts # OAuth 2.0 authentication flow
├── spotify-client.ts # HTTP client for Spotify API
├── logger.ts # Logging utility
├── types.ts # TypeScript type definitions
├── utils.ts # Helper utilities
├── tools/
│ ├── search.ts # Search functionality
│ ├── playback.ts # Playback control
│ ├── library.ts # Library management
│ ├── playlists.ts # Playlist operations
│ ├── recommendations.ts # Recommendations logic
│ └── declarations/
│ └── *.ts # Tool registration
└── prompts/
└── declarations/
└── *.ts # Prompt registration
Troubleshooting
"Spotify API error: 401"
- Tokens may be expired. Delete
~/.mcp-spotify/tokens.jsonand restart Claude - Check that your Client ID and Client Secret are correct in
.env
"No playback device found"
- Open Spotify on any device (desktop, mobile, web)
- Start playing any track to activate a device
- The API requires an active device for playback control
Recommendations returning 404
- This is expected! Spotify deprecated the old recommendations API
- The server now uses Search API with filters as a replacement
Technical Details
- Language: TypeScript
- Runtime: Node.js v23.9.0
- MCP SDK: @modelcontextprotocol/sdk v1.20.0
- Transport: stdio
- Auth: OAuth 2.0 Authorization Code Flow with refresh tokens
- Token Storage:
~/.mcp-spotify/tokens.json(auto-refreshed)
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.