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Analyze videos from 1000+ platforms with transcription, frame insights, and metadata extraction.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "videoscan-mcp" yet — see the docs or source repo.
Analyze this competitor promo video URL and return the full transcript, key visual timestamps, core selling point summary, and a metadata table for market research.
Returns the full transcript, important visual moments, selling point summary, and structured metadata.
Process this set of course videos and generate subtitle text, chapter breakdowns, visual content summaries, and extracted details like title, duration, and source platform.
Produces searchable subtitles, chapter summaries, and core video information for archiving.
Help me design an automated workflow that ingests video URLs in bulk, performs transcription, frame analysis, and metadata extraction, then formats the results for downstream analytics.
Outputs an automation-ready workflow and structured result format suitable for business system integration.
Analyze videos with frame extraction, scene detection, and metadata retrieval.
Analyze videos with scenes, transcripts, visual descriptions, and storyboards.
Extract video frames and metadata for LLM-powered video analysis workflows.
Analyze screenshots, text, and UI mockups through one vision MCP tool.
Edit, merge, overlay, and convert videos through ffmpeg-powered MCP tools.
Enable AI to understand images with vision analysis, detection, and color extraction.