watch-mcp
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Alternatives to watch-mcp
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- AlicenseNot gradedqualityBmaintenanceEnables an agent to process local video files and then read, search and inspect the results: timestamped transcripts, on-screen text and key frames as images. Everything runs locally, so an agent can answer questions like how to perform a task shown in a screencast or meeting recording.198 npm1MIT
- FlicenseNot gradedqualityBmaintenanceEnables AI clients to watch and hear videos from local files or YouTube, Vimeo, and Loom links by returning timestamped key frames, a transcript, a contact sheet, and a combined timeline, with all processing done locally.-
- AlicenseNot gradedqualityCmaintenanceEnables local video understanding by generating numbered storyboard sheets with timecoded transcripts, zooming into selected segments, locating spoken phrases, probing media metadata, and tracking playback progress. It uses local ffmpeg and optional offline speech recognition.MIT

9xvisionofficial
AlicenseBqualityBmaintenanceGives AI agents video perception by turning screen recordings, films and URLs into timestamped structured evidence: ordered UI states and transitions, per-screen OCR, shots, camera motion, palettes, on-screen text and speech, all cached locally with no API keys. Includes drill-down tools to zoom into intervals, crop full-resolution frames, diff two moments, and search on-screen text and speech across everything watched.153MIT- AlicenseNot gradedqualityCmaintenanceEnables AI agents to inspect UI screen recordings as token-efficient image sheets with changed regions boxed, single-frame flicker flagged, and speech aligned to frames. Exposes watch_video and zoom_video tools so agents can pull dense keyframes across any time range or one sharp full-resolution frame, all processed locally.27 npmMIT
- AlicenseBqualityCmaintenanceProvides Claude Code with local ffmpeg-based tools to probe, trim, concat, transform, overlay, mix audio, render JSON timelines, and run automated QA on video files—no API key required.9Apache 2.0
TDQS
Scored across 5 tools
The tools mostly have distinct purposes: watch_video for overview, zoom for motion, frame for detail, transcribe for audio-only, and latest_recording for the newest WatchRecorder capture. Some overlap exists because watch_video and latest_recording return the same storyboards/timeline output, and watch_video vs. transcribe both involve transcripts, but the descriptions make the intended selection clear.
The naming convention is mixed: watch_video is verb_noun, zoom and transcribe are bare verbs, frame can be read as noun or verb, and latest_recording is adjective_noun. The names remain readable and domain-specific, but there is no predictable pattern across the set.
Five tools is well-scoped for a local video analysis server. Each tool covers a distinct mode of inspection—overview, motion sampling, still-frame detail, transcript extraction, and quick access to the latest recording—so none feels redundant or missing.
The surface covers the core lifecycle for local video analysis: overview storyboards and timeline, dense motion inspection, full-resolution detail inspection, transcript extraction, and a convenience path for the latest WatchRecorder capture. There are no obvious dead ends for this read-only domain, including a fallback when the transcript is pending.