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.
A local MCP server that bridges Logic Pro MIDI data via an AUv3 plugin, enabling reading, creating, and manipulating MIDI regions and tracks through tools like read_logic_track and create_midi_region.
A Python-based Model Context Protocol server that allows AI assistants like Claude to access and query your movie and TV show collection via Radarr and Sonarr APIs.
Provides tools for discovering events at Madison Square Garden via the Ticketmaster API, returning structured data with event details like name, date, price, and ticket purchase links.
MCP server that exposes recorded family stories as read-only tools, enabling Alexa+ to retrieve and deliver voice stories to children through natural language.
Create custom playlists, control apple music locally, search apple music catalog, use ai to generate play lists, and more all without needing an apple developer account or giving the MCP server special privileges.
Enables AI agents to manage RSS feeds and articles, safely extract full article text, and fetch YouTube transcripts through a token-optimized MCP interface.
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.
MCP server for Metacritic that enables searching films, shows, and games, retrieving Metascores and audience scores, and accessing critic reviews with publication details and links, all without requiring an API key.
Enables researching YouTube channels and videos by listing uploads, reading transcripts, extracting frames, and searching, without needing a YouTube API key.
MCP server for reading YouTube subtitles without authentication or external binaries, using YouTube's internal get_panel endpoint to avoid rate limits and fetch full subtitles in a single request.
Enables AI clients to control the Windows NetEase Cloud Music desktop app via local stdio MCP, including reading current song and liked state, searching and playing tracks, playback control, track skipping, and setting the current song's liked status.