YouTube Transcribe FAQs

Question 1

What is YouTube Transcribe?

Accepted Answer

YouTube Transcribe is an MCP server-based tool designed to fetch or generate accurate transcripts from YouTube videos, ideal for data science and ML applications. It provides a simple interface to access video content programmatically.

Question 2

How does it prioritize transcript generation?

Accepted Answer

It intelligently attempts to retrieve pre-existing, official YouTube transcripts first for speed and accuracy. If an official transcript isn't available, it downloads the video's audio and uses local AI-powered transcription via OpenAI's Whisper model (preferably whisper.cpp for speed).

Question 3

What are the main benefits of using this tool?

Accepted Answer

Key benefits include reliable transcript generation, prioritizing official sources for accuracy, fast AI-powered local transcription, and easy integration into systems supporting the lightweight Model Context Protocol (MCP), such as the Gemini CLI.

Question 4

What are the core technical requirements?

Accepted Answer

You'll need Python 3.12+, 'uv' for package management, FFmpeg for audio processing, and optionally whisper.cpp (highly recommended for faster local transcription). It runs as a self-contained MCP server.

Question 5

Can I use this with Google Gemini CLI?

Accepted Answer

Yes, YouTube Transcribe is designed to integrate seamlessly with the Google Gemini CLI. It exposes its functionality as a tool via the MCP server, allowing you to use 'get_youtube_transcript' directly from your Gemini command line interface on Windows, Mac, or Unix.

YouTube Transcribe

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