Enables AI assistants to list, create, and modify playlists and their items, and to search for videos on a user's YouTube account through the YouTube Data API v3. Uses OAuth 2.0 with PKCE, quota-aware tools, and cached search results to keep daily API usage low.
An MCP server that enables AI applications to search YouTube music videos and manage playlists via the YouTube Data API v3, with OAuth support for playlist and subscription management.
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.
Enables searching YouTube Music and managing playlists through read and confirmation-gated write tools over STDIO. Supports identity checks, song search, playlist listing/retrieval, and previewed playlist creation, track addition, and exact track removal.
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.
Provides a local stdio MCP server for controlling YouTube Music through the CLI, enabling playback, search, queue management, and library access via MCP-compatible clients.
A lightweight MCP server for reading public YouTube data, offering tools to fetch video transcripts, playlist contents, and video metadata without requiring an API key.
Enables an MCP-capable app to search, play and control the YouTube Music session the user is already signed in to in their own browser — playing songs or saved playlists, choosing from a full result list, skipping and pausing playback, and reading what is currently playing — with no API keys, separate profile or screenshots.
A read-only MCP server for NetEase Cloud Music data, enabling querying of songs, artists, albums, playlists, lyrics, and user library through tools like search and get details.
Lets an MCP client read comment threads on your own YouTube channel, prepare replies, moderate or hide comments, and query YouTube Analytics reports. Every publishing or moderation action is held for explicit user confirmation before it takes effect.
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.
A local music retrieval MCP server that lets users search, download, and organize songs via natural language, with lyrics matching from NetEase Cloud Music and LRCLIB, plus local library indexing through SQLite.
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.
Provides 22 read/write tools to search and retrieve YouTube videos, channels, playlists, comments, trending, and related content, and works with any MCP client.
A NAS music library downloader shell that aggregates multiple sources, writes ID3 tags, and exposes MCP tools for AI agents to search, download, and manage music.
Enables AI agents to call tools through a security gateway that intercepts requests, enforces deterministic policy and risk checks, blocks or escalates high-risk actions for human approval, and keeps tool credentials and audit logs protected.
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.
YouTube Skills (TranscriptAPI) is the production API for extracting, searching, and analyzing YouTube content at scale. While other tools break when YouTube changes or cap you at 100 requests/day, TranscriptAPI serves 15 million transcripts monthly at 49ms median response time.