An MCP server for managing YouTube Music playlists via Claude. Add and remove songs, create playlists, and ask Claude to suggest music — all through conversation.
A simple MCP server that allows AI assistants like Cursor or Claude Desktop to search for and play tracks on YouTube Music through natural language commands.
An MCP server that allows AI models to control YouTube Music playback through Google Chrome by searching and playing songs using song and artist names.
Enables music management through search, playlist creation, and intelligent recommendations. Supports searching by song, artist, or album, creating and managing playlists, and getting music recommendations based on genre and mood.
Enables AI assistants to control Apple Music on macOS through AppleScript, providing tools for playback management, library searching, and playlist organization. It supports detailed track metadata retrieval and enhanced queue management for a seamless music experience.
Enables AI assistants to control Apple Music on macOS using AppleScript for playback, library management, and playlist operations. It supports features like searching tracks, managing the play queue, and retrieving detailed metadata through a structured interface.
MCP server for controlling Apple Music on macOS using JXA (JavaScript for Automation). Manage playback, search tracks, create playlists, and more without API keys.
Production-grade Model Context Protocol server for YouTube intelligence. Extract, analyze, and automate insights from YouTube channels and videos using the official YouTube Data API v3.
Built for AI agents, automation pipelines, and content intelligence workflows.
Enables AI models to interact with YouTube content including video details, transcripts, channel information, playlists, and search functionality through the YouTube Data API.