"A tool for creating YouTube Music playlists" matching MCP servers:

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.

MCP server for read-only access to YouTube Music, enabling exploration of liked songs, playlists, and catalog searches without exposing credentials.

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.

Enables AI assistants to search for music and create/manage playlists on YouTube Music via OAuth 2.0 authentication.

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.

Enables managing YouTube Music playlists and searching songs via the YouTube Data API v3, deployed as a free Cloudflare Worker.

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.

Enables AI assistants to search YouTube Music, manage playlists, and create smart recommendations using natural language.

Enables fetching, searching, and summarizing YouTube video transcripts with multi-language support.

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.

Enables Claude Code to access YouTube features such as video transcripts, search, metadata, channel info, playlists, comments, trending videos, engagement analytics, chapters, SponsorBlock, and most-replayed heatmaps.

Full Apple Music integration for Claude: search the catalog, browse your personal library, manage playlists, and get personalised recommendations.

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.

Connects Claude and other MCP clients to a user's Yandex Music account so they can search the catalog, read liked tracks, listening history, My Wave and playlists, create and edit playlists, like or unlike tracks, and export the library to .txt or .csv. It runs locally over stdio with the token kept on the user's machine, and it does not download audio.

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.

A custom MCP tool that integrates Perplexity AI's API with Claude Desktop, allowing Claude to perform web-based research and provide answers with citations.

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.

Semantic navigator for MCP tools that finds relevant tools by natural language intent, reducing token usage by 95%.

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.

Enables searching the Apple Music catalog, building playlists, and managing a library through the Apple Music API.

Fast, minimal YouTube 'watch' engine for AI agents that extracts clean transcripts, searches, and slices any YouTube video without requiring an API key.

MCP server that fetches YouTube video transcripts and optionally summarizes them. Supports multiple transcript formats (text, JSON, SRT, WebVTT), multi-language retrieval, and flexible YouTube URL parsing.

High-efficiency YouTube MCP server: Get token-optimized, structured data for your LLMs using the YouTube Data API v3.

Gives Claude access to YouTube features such as transcripts, search, video and channel stats, comments, playlists, and trending videos, with optional API key for full functionality.

Enables AI agents to query years of Spotify listening history stored in a music-warehouse Worker, answering questions about individual plays, top artists and tracks, daily counts, era stats, and Wrapped-style summaries, plus live now-playing and Spotify top data when the Worker's Spotify grant is active. It runs locally over stdio using a read-only token and exposes fourteen read-only tools.

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 tools to access YouTube content, including transcript extraction, video/channel info, and search.

Enables MCP clients to query NetEase Cloud Music data such as songs, artists, albums, playlists, lyrics, and a logged-in user's library in compact, paginated, structured form, along with guarded playlist and like write operations.

Enables AI models to interact with YouTube content including video details, transcripts, channel information, playlists, and search functionality through the YouTube Data API.