Local bug-reproduction video analysis tool that processes bug recordings frame-by-frame, producing a structured Bug Context Bundle, and exposes this capability over MCP for use by coding agents like VS Code and Claude.
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 MCP server that watches for screen recordings, transcribes spoken feedback locally, and attaches each comment to the relevant frame, enabling coding agents to see and fix the issues you mention.
Contendeo is a multimodal MCP server that gives AI agents frame-level context from videos—transcription, keyframe vision analysis, OCR, and structured output—so they can analyze what's shown, not just what's said.
An MCP server enabling Claude Code to analyze any video (local file, URL, or Jira ticket attachment) by extracting frame images and audio transcripts, or using Gemini for native video analysis.
