MCP server that analyzes videos locally with frame-by-frame understanding and optional browser sidecars, producing structured context bundles for coding agents to fix bugs, add features, or build new functionality.
MCP server that enables AI agents to watch and analyze videos from 1800+ sources, with persistent indexing, OCR, transcription, and a self-verification loop for debugging.
An asynchronous Model Context Protocol (MCP) server that gives AI models 'eyes and ears' to process web videos. It extracts transcripts and captures screenshots from YouTube and other video platforms.