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

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.

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 MCP clients to search songs, retrieve details and lyrics, and manage personal playlists on NetEase Cloud Music, with optional local player control on macOS, all through a privacy-first, self-hosted service.

Enables AI agents to safely access and manage a single Apple Music account, including indefinite listening history, analytics, playlists, and recommendations.

Enables YouTube integration with Claude Code, including video search, metadata retrieval, transcript fetching, channel exploration, and trending videos.

MCP server for YouTubeTranscript.dev — extract transcripts, manage history, and power AI assistants with YouTube content.

Enables Claude to directly analyze YouTube channel performance by fetching real metrics such as views, watch time, retention, traffic sources, reach/CTR, and comments via YouTube APIs.

A Model Context Protocol server that analyzes YouTube videos, enabling users to extract transcripts, generate summaries, and query video content using Gemini AI.

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

Enables searching for songs on YouTube and automatically playing them in a web browser using the official YouTube Data API v3. It supports cross-platform execution on Windows, macOS, and Linux with built-in input validation.

Enables AI-assisted music composition through copyable pattern templates, style constraints, and arrangement tools that compile to MIDI files. Provides 30+ tools for managing musical structures, layers, patterns, and styles with deterministic compilation from YAML arrangements.

Enables AI assistants to search videos, read channels, browse playlists, fetch comments, and get transcripts from YouTube using the YouTube Data API v3 and InnerTube API for captions.

Two-mode creative music studio for AI: scored composition (ABC notation with sheet music) and live performance (Strudel live coding with TidalCycles), with interactive UI rendering inline in Claude Desktop and other MCP clients.

Governed MCP server for bank-grade agent tool access with RBAC, PII redaction, rate limiting, and audit logging.

Provides intelligent access to local music collections through advanced metadata management, album classification across 8 types, collection analytics, and smart search capabilities for AI-powered music library organization.

Enables YouTube video upload, metadata updates, thumbnail management, stats retrieval, and analytics via the YouTube Data API v3 and Analytics API using OAuth 2.0.

MCP server that provides YouTube video data to AI agents, supporting search, metadata, comments, and transcripts without an API key.

A Model Context Protocol (MCP) server that gives AI assistants the ability to search, analyze, and extract knowledge from YouTube videos.

Enables AI agents to read transcripts of any public video, research channels, analyze performance, read comments, and manage multiple owned channels.