Canvas FAQs

Question 1

How does Canvas enable programmatic UI design?

Accepted Answer

Canvas utilizes a powerful scene graph API (via `batch_design`) allowing users to define and manipulate UI elements like frames, text, images, and components as JSON trees. This enables precise, code-driven control over design layouts and styling.

Question 2

What design features does Canvas support?

Accepted Answer

It supports a wide range of design features including flexbox layouts, text wrapping, design tokens, reusable components, gradients, shadows, blur effects, and integration with Lucide icons. Designs can be styled with properties like fill, stroke, padding, and more.

Question 3

What is Canvas?

Accepted Answer

Canvas is an open-source MCP server that provides AI assistants with a visual design canvas. It uses an HTML/CSS rendering engine to programmatically generate, manipulate, and render user interface designs, making complex design tasks accessible to AI.

Question 4

Can Canvas generate designs for different screen sizes and formats?

Accepted Answer

Yes, Canvas can capture designs as high-quality PNG, JPEG, WebP, or PDF images with configurable viewports. Its `screenshot_responsive` feature automatically renders designs across various breakpoints (mobile, tablet, desktop) for comprehensive responsive testing.

Question 5

How does Canvas help with design iteration and quality assurance?

Accepted Answer

Canvas includes `canvas_diff` for visual comparison of two designs, highlighting changes, which is invaluable for A/B testing or tracking design evolution. This, combined with programmatic control, makes design iteration and automated quality checks more efficient.

Canvas

Canvas

Key Features

Use Cases

Key Features

Use Cases