Why this server?

This server uses yt-dlp to download subtitles from YouTube and connects it to claude.ai via Model Context Protocol, perfectly aligning with the request for YouTube transcripts.

Why this server?

This server enables AI language models to interact with YouTube content, providing tools for retrieving video information, transcripts, channel analytics, and trend analysis.

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?

A Model Context Protocol server that provides retrieval of 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.

Why this server?

Allows Large Language Models to retrieve and reference Jewish texts through a standardized interface, which could be useful for research related to YouTube transcripts.

Why this server?

Enables interaction with YouTube videos by extracting metadata, captions in multiple languages, and converting content to markdown with various templates.

Why this server?

A service that extracts and transcribes audio content from videos across 1000+ streaming websites including YouTube, Bilibili, TikTok, and Twitter, supporting multiple transcription providers.

Why this server?

Simple MCP server that returns the transcription of a Youtube video using url and desired language.

Why this server?

An MCP server that generates structured notes from Bilibili videos by automatically downloading audio, transcribing with Whisper, and processing through LLM, similar to getting YouTube transcripts.

Why this server?

Uses yt-dlp to download subtitles from YouTube and connects it to claude.ai via Model Context Protocol.