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Open-Source Tool Lets AI Assistants Analyze Videos Locally via MCP Protocol

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A developer has released claude-real-video (version 0.8.0), an open-source MIT-licensed tool that enables AI clients like Claude Desktop and Cursor to process and analyze videos entirely on a user's local machine. The tool extracts scene-aware keyframes and timestamped transcripts from video URLs or local files, using scene detection to reduce redundant frames — cutting a 58-second clip from 58 sampled frames down to 26 meaningful ones. Since version 0.8.0, it ships as a Model Context Protocol (MCP) server, making it compatible with any MCP-supporting client via a simple installation and configuration step. Transcription is powered by OpenAI's Whisper model, while processed analyses are cached locally to speed up repeated queries on the same video. The project has garnered approximately 1,900 GitHub stars and has been verified end-to-end on Claude Code.

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