What are the prerequisites to run spotify_mcp?
You need a Spotify Developer account with a registered application, a redirect URI (typically `http://localhost:8888/callback`), and Python with a virtual environment.
@jmoro0408
基本情報
MCP Server to control Spotify
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"spotify_mcp": {
"command": "python",
"args": [
"-m",
"venv",
".venv"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
spotify_mcp is a Spotify integration built using the Model Context Protocol (MCP). It provides tools and resources for interacting with the Spotify API, enabling control over playback and access to user data through the MCP framework.
Clone the repository, set up a virtual environment, install dependencies with uv sync, configure Spotify API credentials in a .env file, and run python src/server.py. For use with Claude as an MCP client, edit claude_desktop_config.json to include the server configuration with your Spotify credentials.
You need a Spotify Developer account with a registered application, a redirect URI (typically `http://localhost:8888/callback`), and Python with a virtual environment.
You must set the environment variables `SPOTIPY_CLIENT_ID`, `SPOTIPY_CLIENT_SECRET`, and `SPOTIPY_REDIRECT_URI` in a `.env` file or in the MCP client configuration.
The README specifies running an MCP server via `python src/server.py`. Integration with clients like Claude uses standard MCP configuration (stdio transport).
Currently, adding songs to a playlist, adding tracks, and creating playlists are listed as “To Implement” and are not yet supported.
It accesses playback state (current song, queue), user playlists, liked songs, recently played tracks, and listening history (most played songs by period).

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