What are the prerequisites for using this server?
You need Node.js v14 or higher, a Spotify Developer account with a registered application, and Claude access via the MCP protocol.
@lechiffre1
Basic information
MCP server that can analyze your Spotify playlists and use Claude to recommend songs based on the mood, vibe, BPM, and other musical attributes.
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
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An MCP server that curates Spotify playlists by analyzing existing tracks and using Claude AI to recommend songs based on mood, vibe, BPM, and other musical attributes. It integrates with Spotify for playlist access and the MCP protocol for AI-driven song selection.
Install dependencies with npm install, configure a Spotify Developer application and set credentials in a .env file, then start the server with npm start. After authenticating via a browser at http://localhost:3000/login, call MCP methods such as getPlaylists, getPlaylistDetails, and getClaudeRecommendations to analyze and enhance your playlists.
You need Node.js v14 or higher, a Spotify Developer account with a registered application, and Claude access via the MCP protocol.
After starting the server, visit `http://localhost:3000/login` in your browser, log into your Spotify account, and authorize the application. You can then close the browser and use the MCP client.
Yes, the `createPlaylist` MCP method lets you create a new playlist with a name, optional description, and public/private setting.
The recommendation feature (`getClaudeRecommendations`) requires a valid Anthropic API key. Other operations like fetching playlists or searching tracks work without it.
Credentials are stored in a local `.env` file on your machine. Spotify data is accessed via the Spotify API; no data is stored on the server.

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