Search for:
Why this server?
Uses yt-dlp to download subtitles from YouTube and connects it to claude.ai via Model Context Protocol, enabling summarizing videos.
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 for summarizing videos.
Why this server?
A Model-Context Protocol Server for YouTube in Jp, potentially useful for summarizing japanese youtube videos
Why this server?
This server allows AI language models to interact with YouTube content through a standardized interface, providing features such as video and channel information retrieval, transcript management, and playlist operations, helpful for summarizing videos.
Why this server?
A Model Context Protocol server that enables retrieval of transcripts from YouTube videos, enabling summarizing videos.
Why this server?
An MCP server that integrates Shaka Packager with Claude AI applications, enabling Claude to analyze, transcode, and package video files for streaming, and potentially summarizing video content.
Why this server?
A Model Context Protocol server that automates generating LinkedIn post drafts from YouTube videos. This server provides high-quality, editable content drafts based on YouTube video transcripts and can be used to summarize youtube videos.
Why this server?
Uses yt-dlp to download YouTube content and integrates it with Dive and other MCP-compatible LLMs, which would allow for summarizing.
Why this server?
A Model Context Protocol server that enables Claude AI to interact with the Solana blockchain, potentially useful for summarizing blockchain-related youtube videos or content.
Why this server?
Enables interaction with NeoDB, a social book cataloging service, by providing tools to fetch user info, search books, and retrieve detailed book information through its API. If the Youtube video concerns books, this could be useful.