Extracts key frames from Loom videos for debugging analysis, automatically detecting scene changes and providing visual snapshots of video content.
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., "@Loom Local MCP Serveranalyze this Loom video for debugging: https://loom.com/share/xyz789"
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.
Loom Local MCP Server
MCP server for extracting key frames from Loom videos or local files for debugging analysis.
Quick Start
# Build and start the container
./scripts/setup.shUsage
Claude Code Configuration
Add to ~/.claude.json:
{
"mcpServers": {
"loom-agent": {
"command": "docker",
"args": ["exec", "-i", "loom-agent", "python", "-m", "loom_agent"]
}
}
}Analyzing Loom Videos
In Claude Code, simply mention a Loom URL:
"I'm debugging this issue in auth.py. Here's the Loom showing the bug: https://loom.com/share/abc123"
Claude will automatically extract key frames and analyze them.
Local Video Files
Drop video in
~/loom-videos/Reference by filename:
"Check out the bug in this recording: bug-demo.mp4"
Tool Parameters
Parameter | Default | Description |
| required | Loom URL or local filename |
| 0.3 | Scene change sensitivity (0.0-1.0). Lower = more frames |
| 20 | Maximum frames to extract |
Directories
~/loom-videos/- Drop local videos here~/loom-frames/- Extracted frames appear here
Development
# Install dev dependencies
pip install -e ".[dev]"
# Run tests
pytest
# Run server locally (without Docker)
python -m loom_agentThis server cannot be installed
Resources
Looking for Admin?
Admins can modify the Dockerfile, update the server description, and track usage metrics. If you are the server author, to access the admin panel.