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VOOZH | about |
Why this server?
Enables AI language models to interact with YouTube content through a standardized interface, providing tools for retrieving video information, transcripts, channel analytics, and trend analysis.
Why this server?
Uses yt-dlp to download subtitles from YouTube and connects it to claude.ai via Model Context Protocol.
Why this server?
A Model Context Protocol server that enables searching YouTube videos, retrieving and storing transcripts, and performing semantic search over video content without using the official YouTube API.
Why this server?
An MCP server that generates structured notes from Bilibili videos by automatically downloading audio, transcribing with Whisper, and processing through LLM.
Why this server?
Allows users to play the 'Turtle Soup' puzzle game with LLMs acting as game hosts, providing tools to access game rules, puzzles, and comprehensive puzzle information, which could help to summarise videos in a novel way.
Why this server?
A Model Context Protocol server that enables access to YouTube video content through transcripts, translations, summaries, and subtitle generation in various languages.
Why this server?
A Model Context Protocol server that generates images using Replicate's FLUX model and stores them in Cloudflare R2, allowing users to create images through simple prompts and retrieve accessible URLs, which might be useful for visual summaries.
Why this server?
A Model Context Protocol (MCP) server that automates generating LinkedIn post drafts from YouTube videos. This server provides high-quality, editable content drafts based on YouTube video transcripts, providing summaries in a different context.
Why this server?
A Model Context Protocol server that allows AI clients to retrieve transcripts from YouTube videos. This server provides direct access to video transcripts and subtitles through a simple interface, making it ideal for content analysis and processing.