An integration project that enables Claude Desktop to interact with Spotify via the Model Context Protocol (MCP), providing functions such as music search, playback control, and playlist management.

ArtistLens is a powerful MCP server that provides access to the Spotify Web API, supporting functions such as music search, artist information retrieval, and playlist management.

A FastMCP tool based on the Spotify API that can control the Spotify player via Cursor Composer.

A Spotify integration service based on the MCP protocol that allows an AI assistant to control and interact with the user's Spotify account, enabling functions such as playback control and playlist management.

An MCP server that integrates the Spotify API, supporting playlist management, music search, and recommendation retrieval through Claude

A Spotify server based on the MCP protocol that allows interaction with a Spotify account via Claude, enabling functions such as searching for songs, creating playlists, and getting recommendations.

A lightweight MCP server that enables AI assistants to control Spotify playback and manage playlists.

An MCP service project based on the Spotify API that allows users to control Spotify playback, search, and manage the playback queue through Claude.

This is a Spotify MCP server based on Express.js that implements the interaction function between AI assistants and the Spotify API, including music search, artist information retrieval, and playlist management.

A media control protocol server that provides a unified interface to control Spotify playback, supporting REST API, AI assistant, and voice control

Custom Spotify MCP server built on the MCP framework

A Flask - based Spotify MCP server that integrates the Spotify Web API to implement functions such as playback control, volume adjustment, and playlist management.

Integration project of MCP server and Spotify

A tool that integrates Claude AI with the Spotify API through the MCP server, allowing users to interact with their Spotify accounts using natural language queries to achieve enhanced music discovery and interaction functions.

An MCP server connecting AI assistants and the Spotify Web API, providing 29 tools such as music search, playback control, and playlist management, with a modular design and type - safe architecture.

An MCP server implementation based on Kotlin that integrates the Spotify Web API and provides functions such as playback control, playlist management, and user information retrieval.

A project that integrates Spotify music playback functions through the MCP service

An MCP server project integrating the Spotify API, supporting interaction between AI assistants and users' Spotify data.

Emotion Playlist MCP is a tool based on MCP that generates Spotify playlists according to the user's emotional state. It uses Brave Search and Spotify integration to automatically create music playlists that match the mood.

A lightweight MCP server that allows AI assistants to control Spotify playback and manage playlists

A Flask-based server project that interacts with the Spotify API through the Model Context Protocol (MCP).

A Spotify playlist management server based on the MCP protocol that helps users optimize playlists by analyzing the characteristics of existing tracks and using Claude AI to make intelligent song recommendations.

A Spotify server - side project based on the MCP protocol that allows AI assistants to control Spotify accounts and perform operations such as music playback and playlist management.

An MCP service project that connects Claude and Spotify