MKirovBG/scribefy-mcp

What it does

Scribefy-MCP is a Model Context Protocol (MCP) server that enables AI assistants and agents to access YouTube content programmatically. It extracts timestamped transcripts from YouTube videos, retrieves detailed video metadata, and identifies related videos. This tool bridges the gap between YouTube content and AI applications, allowing Claude, Cursor, Windsurf, and other AI agents to analyze video content without manual transcription.

How to set up

As an MCP server, installation typically involves: 1) Clone or download the scribefy-mcp repository from GitHub, 2) Install required dependencies via package manager, 3) Configure the MCP server in your AI tool's settings (Claude, Cursor, or Windsurf), 4) Provide necessary API credentials for YouTube data access, 5) Test the connection with a sample YouTube URL. Detailed setup instructions are available in the repository's README file.

Key features

• Extract timestamped transcripts from YouTube videos
• Retrieve comprehensive video metadata (title, description, duration, views, etc.)
• Access related video recommendations
• MCP server integration for seamless AI agent compatibility
• Support for multiple AI platforms (Claude, Cursor, Windsurf)
• Enable research and content analysis workflows with video sources