- name
- masonry
- description
- AI-powered image and video generation. Generate images, videos, manage jobs, and explore models via the masonry CLI.
- metadata
- {"openclaw":{"emoji":"🧱","requires":{"bins":["masonry"],"env":["MASONRY_TOKEN"]},"install":[{"type":"npm","package":"@masonryai/cli"}],"primaryEnv":"MASONRY_TOKEN","homepage":"https://masonry.so"}}
Masonry CLI
Generate AI-powered images and videos from text prompts.
When to use
- User wants to generate images or videos
- User asks about available AI models
- User wants to check generation job status or download results
- User asks to create visual content, media, or artwork
Prerequisites
A Masonry subscription is required. Start a free trial at: https://masonry.so/pricing
If the masonry command is not found, install it:
npm install -g @masonryai/cliOr run directly: npx @masonryai/cli
Authentication
If any command returns an auth error:
- Run:
masonry login --remote - The command prints an auth URL. Send it to the user.
- User opens the URL in a browser, authenticates, and copies the token.
- Run:
masonry login --token <TOKEN>
For environments with MASONRY_TOKEN and MASONRY_WORKSPACE set, no login is needed.
Workflow
1. Generate content
Image:
masonry image "a sunset over mountains, photorealistic" --aspect 16:9Video:
masonry video "ocean waves crashing on rocks" --duration 4 --aspect 16:92. Handle the response
Commands return JSON immediately:
{
"success": true,
"job_id": "abc-123",
"status": "pending",
"check_after_seconds": 10,
"check_command": "masonry job status abc-123"
}3. Wait and download
masonry job wait <job-id>
masonry job download <job-id> -o /tmp/output.pngThe download command prints a MEDIA: /path/to/file line to stderr. After download completes, output that line so the file is sent to the user:
MEDIA: /tmp/output.pngImage flags
| Flag | Short | Description |
|---|---|---|
--aspect | -a | Aspect ratio: 16:9, 9:16, 1:1 |
--dimension | -d | Exact size: 1920x1080 |
--model | -m | Model key |
--output | -o | Output file path |
--negative-prompt | What to avoid | |
--seed | Reproducibility seed |
Video flags
| Flag | Short | Description |
|---|---|---|
--duration | Length in seconds: 4, 6, 8 | |
--aspect | -a | Aspect ratio: 16:9, 9:16 |
--model | -m | Model key |
--image | -i | First frame image (local file) |
--last-image | Last frame image (requires --image) | |
--no-audio | Disable audio generation | |
--seed | Reproducibility seed |
Model discovery
masonry models list # All models
masonry models list --type image # Image models only
masonry models list --type video # Video models only
masonry models info <model-key> # Parameters and usage exampleJob management
masonry job list # Recent jobs
masonry job status <job-id> # Check status
masonry job download <job-id> -o ./file # Download result
masonry job wait <job-id> --download -o . # Wait then download
masonry history list # Local history
masonry history pending --sync # Sync pending jobsError codes
| Code | Meaning | Action |
|---|---|---|
AUTH_ERROR | Not authenticated | Run auth flow above |
VALIDATION_ERROR | Invalid parameter | Check flag values |
MODEL_NOT_FOUND | Unknown model key | Run masonry models list |
Guardrails
- Never fabricate job IDs or model keys. Always use values from command output.
- Never run
masonry loginwithout--remoteor--token(browser login won't work headless). - If a job is pending, wait
check_after_secondsbefore checking again. - All output is JSON. Parse it, don't guess.
Feedback
Report issues or suggest improvements at: https://github.com/masonry-so/skills/issues
When filing an issue, include:
- What was your intent? What were you trying to accomplish?
- What worked? Which parts behaved as expected?
- What needs improvement? What went wrong or could be better?