Frequently Asked Questions (FAQ) about the YouTube Transcriptor MCP Tool
Q: What is the YouTube Transcriptor MCP Tool?
A: It’s a Model Context Protocol (MCP) server that uses the youtube-transcript-api to transcribe YouTube videos. It allows you to extract text from videos, whether they have manual subtitles or autogenerated captions.
Q: What are the prerequisites for using this tool?
A: You need Python 3.12+ installed and the dependencies listed in requirements.txt. You can install them using pip install -r requirements.txt.
Q: How do I run the tool?
A: You can run it directly from your terminal using the command python youtube.py.
Q: How do I use this tool with VS Code?
A: Add the provided JSON configuration to your .vscode/settings.json file, replacing PATH with the absolute path to the directory where you saved youtube.py. Then, you can call the transcribe_video tool from an MCP client.
Q: What kind of videos can I transcribe?
A: You can transcribe any public YouTube video, whether it has manually created subtitles or automatically generated captions.
Q: What is an MCP Server and how does it relate to this tool?
A: An MCP (Model Context Protocol) server acts as a bridge, allowing AI models to access and interact with external data sources and tools. In this case, the YouTube Transcriptor MCP Tool exposes the transcription functionality to AI models and agents through the MCP.
Q: Can I use this tool for commercial purposes?
A: Yes, the tool is released under the MIT license, which allows for commercial use, modification, and distribution.
Q: Does this tool support other video platforms besides YouTube?
A: Currently, this tool is specifically designed for transcribing YouTube videos.
Q: How accurate is the transcription?
A: The accuracy depends on the quality of the subtitles or captions available on the YouTube video. Manually created subtitles are generally more accurate than autogenerated captions.
Q: Where can I find more information about UBOS and its AI Agent Development Platform?
A: Visit the UBOS website at https://ubos.tech to learn more about our full-stack AI Agent Development Platform and how it can help you build and deploy AI Agents effectively.
YouTube Transcriptor
Project Details
- rvydhya/youtube_transcriptor
- Last Updated: 4/23/2025
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