YouTube Transcript MCP Server

What is YouTube Transcript MCP Server?

The YouTube Transcript MCP Server is a tool designed to fetch transcripts from YouTube videos using the Model Context Protocol (MCP). It allows users to retrieve video transcripts in various formats, making it easier for Large Language Models (LLMs) to access and process this data.

How to use YouTube Transcript MCP Server?

To use the server, clone the repository from GitHub, set up the environment, and run the server. You can then use the fetch_youtube_transcript tool to retrieve transcripts by providing the video ID and desired format.

Key features of YouTube Transcript MCP Server?

• YouTube Transcript Retrieval: Fetch transcripts for YouTube videos in multiple languages.
• Flexible Output Formats: Obtain transcripts in either plain text or JSON format.
• MCP Integration: Seamlessly integrates with MCP-compatible clients and tools.

Use cases of YouTube Transcript MCP Server?

1. Retrieving transcripts for educational videos for research purposes.
2. Analyzing video content for sentiment analysis or content summarization.
3. Enabling LLMs to access video transcripts for enhanced understanding and processing.

FAQ from YouTube Transcript MCP Server?

• Can I fetch transcripts in multiple languages?

Yes! The server supports fetching transcripts in various languages based on the video content.

• What formats can I retrieve the transcripts in?

You can obtain transcripts in plain text or JSON format, depending on your needs.

• Is there a specific setup required to run the server?

Yes, you need to install the uv package, clone the repository, and set up a virtual environment to run the server.