Cue — video answers with timestamp-level proof: timelines, subtitles, scenes, and frames.
Quick Install
Automated & IDE SetupCopy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.
Manual Client & Custom JSON ConfigExpand JSON ▾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for Cue, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Documentation Overview
Merged into anymd (2026-09-25). anymd reads PDFs, Office files, EPUB, web pages, images and video into clean Markdown for AI agents:
npx -y @sylphx/anymd. This repository is archived.
Cue
Video answers with timestamp-level proof
Cue gives agents a local video timeline they can search and cite. The default read returns container metadata, streams, chapters, and embedded subtitles. Scenes and frames are separate.
For Claude Code:
Read a local video
That call uses the fast profile. It returns container metadata, streams,
chapters, and embedded subtitles. It does not detect scenes, extract frames,
or run speech recognition.
Then ask:
“Which chapter covers the pricing change?”
Cue returns chapter and subtitle locators with timestamp_ms and the source
hash. It does not invent a transcript. A quote search matches embedded
subtitles only. Render or crop a frame afterwards with video_evidence, once
you have a timestamp.
Jobs Cue is built for
| Ask your agent | Cue returns |
|---|---|
| “Find this quote.” | a timestamped match in embedded subtitles, when those subtitles exist |
| “Summarize this meeting.” | chapters and embedded subtitles |
| “Where is the code shown?” | one frame from video_evidence at a known timestamp |
| “What changed in this demo?” | scene boundaries when profile is quality or include_scenes is set |
| “Give me the useful moments.” | chapters, embedded subtitles, warnings, and gaps |
Tool surface
| Tool | Purpose |
|---|---|
read_video | Default fast profile: container metadata, streams, chapters, and embedded subtitles. Scenes are opt-in. |
search_video | Search embedded subtitle cues. It does not run speech recognition. |
video_evidence | Named follow-up: render, crop, or OCR one frame at a timestamp |
Predictable defaults
- Omitted
profileisfast: container metadata, streams, chapters, and embedded subtitles. No scenes, frames, or speech recognition. profilequalityadds ffmpeg scene detection. It does not extract frames or run speech recognition.include_keyframesandinclude_transcriptstay off. Setting either one on the shipped server returns a warning and an empty array.- OCR stays on
video_evidence. - No cloud video API or frame-by-frame vision model is required.
- Missing ffprobe or embedded subtitles is reported as a gap, not guessed around.
Why agents trust it
Every claim can point back to timestamp_ms, a stream index, a subtitle range,
or the source hash. A frame index is present only after video_evidence.
Companion MCP tools
| Product | Job |
|---|---|
| Citra | PDF answers with page-level proof |
| Iris | Image facts and pixel evidence |
| Spine | Repository architecture and impact |
| Locus | Exact code-chunk retrieval |
| Lookout | Web research with source excerpts |
Each product is independent. Install only the tools your agent needs.
Development
License
MIT
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Frequently Asked Questions about Cue
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CategoryDeveloper Tools
27Quality signal: Emerging · 27/100How this signal is calculated ▾
Server availabilityNot measured
Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.
Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10
A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.
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