An MCP server that automatically renames local subtitle files to match corresponding videos using statistical token matching and episode verification. It enables users to scan media directories, preview matches, and manage subtitle configurations through natural language commands.
Enables comprehensive YouTube data access including video details, playlists, channels, comments, search, and subtitle operations through the YouTube Media Downloader API.
A Model Context Protocol server that enables access to YouTube video content through transcripts, translations, summaries, and subtitle generation in various languages.
Enables video and audio processing through FFmpeg, supporting format conversion, compression, trimming, audio extraction, frame extraction, video merging, and subtitle burning through natural language commands.
Enables AI models like Claude to easily access and utilize subtitle data from YouTube videos by extracting transcripts from video URLs with support for multiple languages.