MCP Youtube Transcript, developed by Jkawamoto, is a Python-based server tool designed for the mcp platform. This free utility specializes in connecting with YouTube to retrieve video transcripts and associated metadata. It serves as a valuable resource for AI clients, enabling them to process YouTube video content efficiently. The tool's design focuses on making YouTube video information accessible for various AI-driven tasks, from content analysis to repurposing. Its availability across different distribution methods ensures broad access for developers and users of compatible AI clients.

What does MCP Youtube Transcript connect to?

The MCP Youtube Transcript tool connects directly to YouTube. Its primary function is to retrieve video transcripts and relevant metadata from the platform. Categorized as a specialized MCP server, it focuses exclusively on YouTube video transcript extraction. This connection allows AI clients to access a wealth of textual and informational content from YouTube videos, making it a focused resource for specific data acquisition needs within the MCP ecosystem.

Core features and tools

The program exposes four distinct callable tools for interacting with YouTube content. These include get_transcript, which retrieves standard video transcripts, and get_timed_transcript, providing transcripts with precise timing information. Users can also employ get_video_info to fetch general video metadata, and get_available_languages to list all caption languages offered for a specific video. These tools provide a structured way to access various aspects of YouTube video data.

Who is it for?

This tool is intended for users of AI assistants who need to process YouTube video content. It supports workflows where AI applications benefit from text-based video content or specific video details. The program aids in tasks such as content analysis, summarization, and generating new materials from video sources. Skip this if you do not use AI assistants to process YouTube video content.

How to get started

No credentials are required. The server supports the stdio transport protocol, making it compatible with various AI clients like Claude Desktop, LM Studio, and Goose.

Use cases

• Research: Extracting transcripts for analysis, summarization, or staying informed about industry trends without watching entire videos.
• Content Repurposing: Converting video content into text for AI to generate derivative content like blog post outlines or social media captions.
• Information Retrieval: Quickly fetching specific video metadata or available languages for AI applications.

MCP Youtube Transcript offers a direct path for AI assistants to interact with YouTube video content. Its specialized tools for transcript and metadata extraction simplify data acquisition for various AI-driven applications. The absence of authentication requirements makes it highly accessible for immediate use. This tool is a practical addition for anyone building or using AI workflows that depend on YouTube video information. Start by using get_transcript to extract text from a YouTube video.