A FastMCP tool that enables control of Spotify through natural language commands in Cursor Composer, allowing users to manage playback, search for content, and interact with playlists.
Enables creating and managing Spotify playlists using natural language with advanced similarity matching across 8 different algorithms. Supports finding similar tracks based on audio features, mood, energy, genre, and custom weighted parameters to build personalized playlists automatically.
An MCP server that provides intelligent playlist curation tools using Spotify track data and audio feature analysis. It enables AI assistants to create mood-based playlists, find similar songs, analyze audio characteristics, and curate personalized music collections.
MCP server for Spotify that enables playlist building and music discovery through 19 tools, allowing LLM agents to search tracks/artists/albums, manage playlists, control playback, and access personal listening data.
This is a 93-tool Spotify MCP server for Claude, Cursor, and any MCP client. Smart shuffle, vibe analysis, natural language search, artist networks, and more.
An MCP server for Spotify control and synchronized lyrics retrieval that enables playback management, queue navigation, and music search capabilities. It also features perception tools for real-time track analysis, including BPM, key detection, and timestamped lyrics.
An MCP server for bulk Spotify operations enabling batch playlist creation, library exports, and large-scale library management with confidence scoring and human-in-the-loop for uncertain matches.