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Video Downloader

Empower intelligent agents with secure video downloading capabilities from over 1000 diverse websites.

About

The Video Downloader tool provides a robust Model Context Protocol (MCP) server that equips agents with the ability to check, analyze, and download videos from a vast array of web pages. Built upon the powerful yt-dlp library, it includes seven discrete tools to manage video acquisition, enhanced with critical security validations like path traversal prevention and location restrictions, ensuring safe and organized downloads. Its fallback analysis system also allows for pattern matching on sites not directly supported by yt-dlp, making it highly versatile for any agent workflow.

Key Features

  • Built-in security with path validation and location restrictions
  • Fallback analysis for unsupported sites using pattern matching
  • Configurable secure download locations with filename templating
  • 0 GitHub stars
  • 7 Discrete MCP Tools for video operations
  • Supports over 1000 video hosting sites via yt-dlp

Use Cases

  • Allow agents to intelligently select video quality based on user preferences or size constraints.
  • Enable agents to download videos from YouTube, TikTok, and other major platforms.
  • Integrate video downloading into complex agent workflows, such as web searching and content archiving.
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