Yt-Dlp
Createdkevinwatt
Downloads video and audio content from various online platforms for use with Large Language Models.
About
Integrates yt-dlp with Model Context Protocol (MCP) to empower LLMs with video and audio download capabilities. It fetches content from platforms like YouTube, Facebook, and TikTok, allowing LLMs to access subtitles, video, and audio. Key features include resolution control for video downloads, audio extraction, and support for subtitle downloads in SRT format. It is designed to be privacy-focused, enabling direct downloads without tracking, and integrates seamlessly with MCP-compatible LLMs like Dive.
Key Features
- Downloads subtitles in SRT format
- Downloads video with resolution control
- Downloads audio in best available quality
- Privacy-focused direct download
- MCP integration
Use Cases
- Enabling LLMs to analyze video content through subtitles
- Providing audio context to LLMs from video sources
- Downloading video content for LLM processing