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This release adds 3 notable features for engineering teams evaluating rollout.

Published 2mo MCP Data & Storage
✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

ai claude frames loom mcp mcp-server
+4 more
model-context-protocol ocr transcript video-analysis

Summary

AI summary

Four new tools and three detail levels add transcript, metadata, frame extraction, and moment analysis capabilities.

Full changelog

What's New

4 New Tools

  • get_transcript — Quick transcript-only extraction with Whisper fallback
  • get_metadata — Metadata + comments + chapters (no video download needed)
  • get_frames — Frame-only extraction (scene-change or dense 1fps sampling)
  • analyze_moment — Deep-dive on a specific time range (burst frames + filtered transcript + OCR + mini-timeline)

Detail Levels

  • brief — metadata + first 10 transcript entries (fast, no download)
  • standard — full analysis with scene-change frames (default)
  • detailed — dense 1fps sampling, up to 60 frames, thorough OCR

Other Features

  • Field filteringfields=["metadata","transcript"] to return only what you need
  • In-memory caching — 10min TTL, instant repeated queries, forceRefresh to bypass
  • Dense frame sampling — 1 frame/sec for detailed analysis
  • Whisper fallback transcription — @huggingface/transformers → whisper CLI → OpenAI API
  • Autonomous tool selection — improved MCP instructions so Claude automatically picks the right tool
  • Real example outputsexamples/loom-demo/ with 19 frames + 11 JSON files from a public Loom video

Testing

  • 186 unit tests + 46 E2E tests (all passing)
  • Windows ffmpeg compatibility fixes

Full changelog: https://github.com/guimatheus92/mcp-video-analyzer/compare/v0.1.0...v0.2.0

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About guimatheus92/mcp-video-analyzer

MCP server for video analysis — extracts transcripts, key frames, OCR text, and annotated timelines from video URLs. Supports Loom and direct video files (.mp4, .webm). Zero auth required.

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Beta — feedback welcome: [email protected]