A
licenseA
qualityB
maintenanceEnables AI agents to analyze videos by producing timestamped transcripts, keyframe contact sheets, and metadata reports from local files or online URLs, fully offline and without API keys.
6
MIT
yueying
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- AlicenseAqualityBmaintenanceLet AI agents watch videos: local transcripts, speaker labels, scenes, chapters and exact-moment search from any video URL or file. Fully local, no API keys.42AGPL 3.0
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to download, convert, and visually analyze videos by providing timestamped frames and locally transcribed speech, all without API keys.MIT
- AlicenseNot gradedqualityAmaintenanceLets any LLM agent actually watch videos: a watch_video tool takes a URL or local file and returns scene-aware keyframes fused with a timestamped transcript, processed 100% locally with per-source caching.792 PyPI2,190MIT
- AlicenseNot gradedqualityBmaintenanceEnables LLM agents to process local videos into timestamped, citable text documents and then query them through tools for listing videos, retrieving transcripts, and fetching specific segments, all fully offline.MIT
- AlicenseNot gradedqualityAmaintenanceProvides local, offline transcription, keyframe extraction, OCR, and pre-publish review of audio, video, and image files, enabling AI agents to see and hear media without cloud or API keys.36 npmApache 2.0
TDQS
A4.4/5.0
Scored across 6 tools
Disambiguation5/5
Each tool targets a distinct step in the video processing workflow: create (watch_video), read transcript (get_transcript), search (search_transcript), visual overview (get_frames), precise frame lookup (get_frame_at), and listing (list_videos). There is no meaningful overlap between any two tools; the boundaries are clear.
Naming Consistency5/5
All tool names follow a consistent imperative verb_noun snake_case convention (watch_video, get_transcript, list_videos, search_transcript, get_frames, get_frame_at). Even 'get_frame_at' is a predictable extension of the get_ pattern, so naming is uniform and easy to guess.
Tool Count5/5
Six tools is well-scoped for a video analysis server. Each tool covers a necessary operation without redundancy, and the count is appropriate for the domain.
Completeness4/5
The core workflow is well covered: ingest a video, retrieve transcript segments, search within them, and view visual content. The only notable gap is the absence of a delete/cleanup tool to remove processed videos or cached results, though list_videos does expose disk usage as a workaround.
Maintenance
ActivityMaintained
ResponsivenessNo issues