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YouTube Connector

ShellyDeng08byShellyDeng08
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70
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Data Science & ML
Developer Tools
Web Scraping & Data Collection

Enables AI assistants to search YouTube videos, retrieve transcripts, and access detailed channel and playlist information via the Model Context Protocol (MCP).

The YouTube Connector is an MCP server designed to integrate YouTube's vast content directly into AI assistants like Claude, Cursor, and Windsurf. By leveraging the YouTube Data API v3 and the Model Context Protocol (MCP), it empowers AI to perform advanced operations such as searching videos, extracting full transcripts, and gathering detailed information about channels and playlists. This tool enhances AI's ability to understand and interact with video content programmatically, making YouTube data accessible for a wide range of AI-powered workflows and analyses.

Key Features

01Retrieve full video transcript text with timestamps
0271 GitHub stars
03Get detailed video metadata, statistics, and content specifics
04Search YouTube videos, channels, and playlists with various filters
05Access channel information, subscriber counts, and upload playlists
06Fetch complete playlist details and lists of videos within them

Use Cases

01Channel Monitoring: Track channel statistics and new uploads
02Content Analysis: Extract transcripts and comments for AI processing
03Research: Search and analyze YouTube content programmatically