local-video-scenes-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@local-video-scenes-mcpextract scenes from screen-recording.mov"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Local Video Scenes MCP
Local Video Scenes MCP extracts timestamped screenshots from local videos so Claude can produce a visual walkthrough. It does not use Whisper, audio transcription, or any hosted video-processing service.
What Stays Local
The original video stays on your machine.
ffmpegandffproberun locally.The MCP returns local screenshot paths and metadata.
Claude analyzes only the screenshots you provide through the MCP result.
Audio is not extracted or analyzed in V1.
Related MCP server: Loom Local MCP Server
Requirements
Node.js 18.18+
ffmpegandffprobe
The server includes video.check_ffmpeg, which reports whether ffmpeg/ffprobe are available and gives platform-specific install guidance. It also includes video.install_ffmpeg, which dry-runs by default and only runs package-manager commands when called with execute: true.
When a package manager is detected, it suggests commands such as:
brew install ffmpeg
winget install --id Gyan.FFmpeg -e
choco install ffmpeg -y
sudo apt-get install -y ffmpegMCP Configuration
After installing or building the package, configure your MCP client to run:
{
"mcpServers": {
"local-video-scenes": {
"command": "npx",
"args": ["local-video-scenes-mcp"]
}
}
}For local development from this repository:
{
"mcpServers": {
"local-video-scenes": {
"command": "node",
"args": ["/absolute/path/to/local-video-scenes-mcp/dist/server.js"]
}
}
}Tools
video.extract_scenes
Input:
{
"path": "/path/to/bug-demo.mp4",
"sensitivity": 0.3,
"minGapSeconds": 1.5,
"mode": "auto"
}Optional fields:
sensitivity: scene-change threshold between0and1; default0.3.maxFrames: maximum returned frames; defaultmin(80, max(12, ceil(durationSeconds / 3))).minGapSeconds: minimum gap between returned frames; default1.5.outputDir: output folder; default is a temp folder.mode:auto,scene, orsample; defaultauto.
Output includes:
durationsourcePathoutputDirextractionModemaxFramesperformanceEstimatewarningsframes[]withtimestamp,path,index, and optionalsceneScore
video.cleanup
Removes the generated frame directory:
{
"outputDir": "/tmp/video-context/abc123"
}video.check_ffmpeg
Checks local ffmpeg/ffprobe availability and returns install guidance if either is missing.
video.install_ffmpeg
Returns the detected install commands by default:
{
"execute": false
}To run the detected package-manager command, call it explicitly with:
{
"execute": true
}Performance Defaults
The default frame budget is tuned for 1-minute screen recordings:
maxFrames = min(80, max(12, ceil(durationSeconds / 3)))For a 60-second video, this returns about 20 frames by default. On an M2 with 16GB RAM, expected V1 behavior is:
ffmpeg extraction: usually 1-5 seconds
Claude visual walkthrough over 12-25 screenshots: roughly 10-30 seconds
target end-to-end time for a 1-minute video: under about 30 seconds in normal cases
Claude Usage Guidance
When a user provides a video path:
Call
video.extract_scenes.Inspect the returned image paths as visual context.
Produce a timestamped walkthrough of visible UI states, actions, errors, code, logs, and important text.
Mention that audio was not analyzed.
Use
video.cleanupwhen the generated screenshots are no longer needed.
Example:
The video shows the user opening the dashboard, navigating to Export, clicking the export action, and reaching a visible HTTP 500 error around 00:01:42. Audio was not analyzed.Development
npm install
npm test
npm run typecheck
npm run buildThis server cannot be installed
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