This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
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 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.
npx -y @sylphx/cueFor Claude Code:
claude mcp add cue -- npx -y @sylphx/cue{
"sources": [{ "path": "/absolute/path/to/demo.mp4" }]
}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.
Related MCP server: yueying
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 |
“What changed in this demo?” | scene boundaries when |
“Give me the useful moments.” | chapters, embedded subtitles, warnings, and gaps |
Tool | Purpose |
| Default |
| Search embedded subtitle cues. It does not run speech recognition. |
| Named follow-up: render, crop, or OCR one frame at a timestamp |
Omitted profile is fast: container metadata, streams, chapters, and embedded subtitles. No scenes, frames, or speech recognition.
profile quality adds ffmpeg scene detection. It does not extract frames or run speech recognition.
include_keyframes and include_transcript stay 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.
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.
Product | Job |
PDF answers with page-level proof | |
Image facts and pixel evidence | |
Repository architecture and impact | |
Exact code-chunk retrieval | |
Web research with source excerpts |
Each product is independent. Install only the tools your agent needs.
bun install
bun run build
bun test
cargo test
bun run benchmark:public-proof
bun run benchmark:release-gateMIT
This server cannot be deployed
Transcripts, summaries, chapters and timestamped answers for video links, for AI agents.
Fetch transcripts, subtitles, chapters, metadata and frames from YouTube and 10+ video platforms
Files to text for AI agents: audio/podcast transcription, OCR, video frames, screenshots, web to MD.
Video analysis AI: transcripts, summaries, visual scenes/shots, clips, answers in natural language.
