Enables conversion of YouTube videos to MP3 format through the Youtube To Mp315 API. Supports checking conversion status, retrieving video titles, and asynchronous video-to-audio conversion with customizable quality and time range settings.
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.
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.
An MCP server that enables users to search for movie and TV show resources across multiple sources and validate video link playability. It supports both STDIO and SSE transport modes for seamless integration with AI applications.
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.
Enables AI-powered music generation through natural language commands, supporting both inspiration and custom modes with automatic polling for async generation.
Enables AI-powered music generation through natural language commands, supporting both inspiration mode (AI-generated lyrics and style) and custom mode (user-provided lyrics and parameters) to create songs with direct download links.
Connects AI assistants to the Kitsu open-source production management platform for animation, VFX, and game studios. It provides over 70 tools to manage projects, assets, shots, tasks, and production pipelines through natural language.
Enables AI assistants to turn music requests into traceable local DJ collections by scanning and indexing audio, planning tracklists, managing durable download jobs, and preparing hash-checked playlists, manifests, and experimental rekordbox exports for DJ app handoff.
Local TypeScript MCP server for creating authorized song-practice projects for GarageBand. It enables users to create practice workspaces from MIDI, generate bar practice assets, and open projects in GarageBand.
Enables AI to control Final Cut Pro on macOS via CLI or MCP, allowing automation of tasks like library/project reading, importing FCPXML, and creating title/storyboard projects.