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

A simple MCP server to manage YouTube playlists built in TypeScript.

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

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.

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.

Enables LLMs to perform addition calculations through a stdio-based MCP server with an add_numbers tool and type-safe validation.

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.

A safe, structured Model Context Protocol server for the local Apple Music app on macOS. It lets an MCP client inspect a library, analyze and manage playlists, control playback, edit supported metadata, and keep a local audit trail.

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.

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.

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.

An MCP server that turns Yandex Music into tools an AI agent can call directly — search, queue, play, build playlists — with no browser involved.

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.

Enables to perform mathematical calculations, retrieve weather information, and manage files through a standardized MCP interface, showcasing best practices for building MCP servers.

A Model Context Protocol server that provides a scratchpad tool for LLMs to organize thoughts, take notes, and plan approaches to complex problems.

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

Control Apple Music via natural language from Claude Code, with the ability to mark tracks and accumulate reactions in an Obsidian Vault.