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Video Reader MCP

Video Reader MCP

Local
github.comMedia & Design3Updated 5w ago

About Video Reader MCP

Video Reader MCP, identified as Cue in its README, is a local video MCP server for agents that need searchable, timestamped evidence. Its default read returns container, stream, chapter, and embedded subtitle data; scenes and frames are requested separately.

Key features

  1. 01Read video metadata, streams, chapters, and subtitles
  2. 02Search embedded subtitles with timestamps
  3. 03Render, crop, or OCR a frame by timestamp
  4. 04Optionally detect scene boundaries
  5. 05Include source hashes and subtitle locators

Use cases

  1. 01Find a specific quote in a video
  2. 02Summarize meeting videos with chapters or subtitles
  3. 03Locate a frame showing code in a demo
  4. 04Find scene changes in a demo video

MCP support

The MCP server exposes read_video, search_video, and video_evidence tools for reading local videos, searching subtitles, and retrieving frame evidence at a specified timestamp.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"sylphxai-video-reader": {
"command": "npx",
"args": [
"-y",
"@sylphx/video-reader-mcp"
]
}
}
}
Run commandnpx -y @sylphx/video-reader-mcp

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@sylphx/video-reader-mcp0.1.0

Tools

1

Saved tool list · updated 2w ago

ParameterTypeRequiredDescription
sourcesarrayYesOne or more local video sources to read.
include_scenesbooleanNoDetect scene boundaries with ffmpeg scene filter. Defaults to true.
include_streamsbooleanNoInclude stream metadata from ffprobe. Defaults to true.
scene_thresholdnumberNoScene detection sensitivity for ffmpeg gt(scene,threshold). Defaults to 0.4.
include_chaptersbooleanNoInclude chapter markers when present. Defaults to true.
include_subtitlesbooleanNoExtract embedded subtitles when available. Defaults to true.
include_transcriptbooleanNoAttempt optional local ASR transcript when an adapter is installed. Defaults to false.

Details

From the project README

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.

npx -y @sylphx/cue

For Claude Code:

claude mcp add cue -- npx -y @sylphx/cue

Read a local video

{
  "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.

Jobs Cue is built for

Ask your agentCue 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

ToolPurpose
read_videoDefault fast profile: container metadata, streams, chapters, and embedded subtitles. Scenes are opt-in.
search_videoSearch embedded subtitle cues. It does not run speech recognition.
video_evidenceNamed follow-up: render, crop, or OCR one frame at a timestamp

Predictable defaults

  • 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.

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

ProductJob
CitraPDF answers with page-level proof
IrisImage facts and pixel evidence
SpineRepository architecture and impact
LocusExact code-chunk retrieval
LookoutWeb research with source excerpts

Each product is independent. Install only the tools your agent needs.

Development

bun install
bun run build
bun test
cargo test
bun run benchmark:public-proof
bun run benchmark:release-gate

License

MIT

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