Loom Local MCP Server
Extracts key frames from Loom videos for debugging analysis, automatically detecting scene changes and providing visual snapshots of video content.
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.
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.shRelated MCP server: local-video-scenes-mcp
Usage
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_agentTool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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