A Python-based Model Context Protocol (MCP) server that connects your AI assistant (Claude Desktop, Cursor, etc.) directly to the Spotify Web API. This allows the AI to inspect your current playback state, search for music, trigger recommendations, and control your player (play, pause, skip, adjust volume, queue tracks).
Built using Python 3.12+, the official FastMCP SDK, uv for dependency/project management, and fully type-annotated with strict mypy validation.
get_current_playback: Retrieves details about your active device, current volume, track name, artist, album, and progress.pause_playback/resume_playback: Pauses or resumes playback.skip_next/skip_previous: Skips to the next or previous track.set_volume: Adjusts player volume (0 to 100).add_to_queue: Appends a specific track URI to the queue.search_spotify: Searches for tracks, albums, artists, or playlists.play_by_search: Searches for an item and immediately starts playing the top result.get_recommendations: Fetches track recommendations based on seed genres (e.g.lofi,chill).
spotify://status: Exposes the text description of the currently playing track.
vibe_check: Guides the AI to curate and play a playlist matching your current coding task, energy level, and mood.
- Spotify Premium: The Spotify Web API Player endpoints require a Spotify Premium subscription to accept control commands.
uvPackage Manager: Installuvif you haven't already:curl -LsSf https://astral.sh/uv/install.sh | sh
- Go to the Spotify Developer Dashboard and log in.
- Click Create App and fill in the details:
- App name: E.g.
My Local MCP Server - Redirect URI:
http://127.0.0.1:8888/callback(Crucial for the authentication script to run successfully)
- App name: E.g.
- Under the app settings, copy your Client ID and Client Secret.
Create a .env file in the root of this project:
cp .env.example .envOpen .env and fill in your client keys:
SPOTIFY_CLIENT_ID=your_client_id_here
SPOTIFY_CLIENT_SECRET=your_client_secret_here
SPOTIFY_REDIRECT_PORT=8888Run the built-in OAuth helper script:
uv run get_token.py- This script spins up a temporary web server on
127.0.0.1:8888and opens your default web browser to authorize the required permissions (user-read-playback-state,user-modify-playback-state,user-read-currently-playing). - After clicking "Agree", you will see a success message. Return to the terminal and copy the printed
SPOTIFY_REFRESH_TOKENto your.envfile:
SPOTIFY_REFRESH_TOKEN=your_generated_refresh_token_hereEnsure the codebase is type-safe and conforms to the static analysis rules:
uv run mypy .To register this server with your AI client, add the following configuration block:
Add this to your claude_desktop_config.json (usually located at ~/Library/Application Support/Claude/claude_desktop_config.json on macOS).
To keep your personal home directory paths private and avoid exposing them in configuration files, you can use an environment variable (e.g., SPOTIFY_MCP_DIR).
- Export the variable in your shell profile (e.g.,
~/.zshrcor~/.bash_profile):export SPOTIFY_MCP_DIR="/path/to/spotify-mcp-server"
- Configure Claude Desktop to execute
uvvia a login shell, which resolves the environment variable dynamically:(If you are using bash, replace{ "mcpServers": { "spotify": { "command": "zsh", "args": [ "-l", "-c", "uv --directory \"$SPOTIFY_MCP_DIR\" run main.py" ] } } }"command": "zsh"with"command": "bash"and load profile accordingly)
If you do not mind exposing your directory path, configure the absolute path directly:
{
"mcpServers": {
"spotify": {
"command": "uv",
"args": [
"--directory",
"/path/to/spotify-mcp-server",
"run",
"main.py"
]
}
}
}(Note: Replace /path/to/spotify-mcp-server with the actual absolute path to this repository on your system)