MCP server that extracts timestamped YouTube transcripts and retrieves video metadata and related videos. Integrates with Claude, Cursor, Windsurf, and AI agents for research and content analysis.
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.
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.
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