@addy07s
基本信息
This is a Model Context Protocol (MCP) server implementation that allows AI assistants to interact with Spotify's API.
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This is a Model Context Protocol (MCP) server implementation that enables AI assistants to search tracks, retrieve artist information, and manage playlists through the Spotify API. It is built with Express.js and intended for developers building AI assistant integrations with Spotify.
Set up a Spotify Developer application, configure SPOTIFY_CLIENT_ID, SPOTIFY_CLIENT_SECRET, and SPOTIFY_REDIRECT_URI in a .env file, run npm install, then npm start. AI assistants interact via HTTP POST/GET endpoints to search music, get content details, or access user data after OAuth authentication.
It implements the Model Context Protocol, allowing AI assistants to use structured endpoints for music search, content retrieval, and user data access without handling raw API calls directly.
Node.js and npm. The server depends on Express.js and uses environment variables stored in a `.env` file for credentials.
Credentials live in a local `.env` file that should never be committed to version control. User authentication uses Spotify's OAuth flow; no user data is stored by the server itself.
The server uses HTTP REST for transport and Spotify OAuth 2.0 for user authentication, with endpoints for login, OAuth callback, and token refresh.
The README does not state any explicit limits. All endpoints require proper authentication for user-specific data, and the server runs locally on `http://localhost:3000`.
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