AWS Labs Nova Canvas vs design-engineering
AWS Labs Nova Canvas is an MCP server published by awslabs. Marketplaces we read that list it: 1 (Docker MCP Catalog). design-engineering is a plugin bundle for AI coding tools published by HKTITAN. Marketplaces we read that list it: 1 (Community GitHub marketplaces). As of our marketplace pass on 2026-10-22. This pair was picked by a reader, not by our comparison rule, so search engines are asked not to index the page.
Where each is published
| Marketplace |  AWS Labs Nova Canvas | |
|---|---|---|
| Docker MCP Catalog | Listed Version: sha256:5582496accaa Forks (GitHub): 1 820 Pulls (Docker Hub): 11 209 Stars (Docker Hub): 0 Stars (GitHub): 9 803 Not marked · First seen |
Not listed |
| Community marketplace agentsorg/design-engineering | Not listed | Listed Version: 2.8.0 Forks (GitHub): 1 Stars (GitHub): 34 Not marked · First seen |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
The facts side by side
| Fact | AWS Labs Nova Canvas | design-engineering |
|---|---|---|
| Marketplaces that list it | 1 | 1 |
| Stars (GitHub) (differs) | 9 803 (better) | 34 (worse) |
| Pulls (Docker Hub) (differs) | 11 209 | No figure on Docker Hub |
| Forks (GitHub) (differs) | 1 820 (better) | 1 (worse) |
| Last release (differs) | Not published | 2026-10-19 |
| Where it runs (differs) | On your machine (mcp/nova-canvas-mcp-server) | Installs as a plugin bundle |
| Transport (differs) | stdio | Not stated |
| Tools it declares (differs) | 2 | Not published |
| Environment variables it asks for (differs) | 5, secrets among them: 2 | Not published |
| Parts of the bundle (differs) | Not a bundle | 21 |
| Licence (differs) | Apache-2.0 | MIT |
| Repository (differs) | github.com/awslabs/mcp | github.com/agentsorg/design-engineering |
| Changes in the last 7 days (differs) | 0 | 1 |
| First seen (differs) | 2026-10-11 | 2026-10-15 |
Lines where the two differ have a tinted background and bold values. Where the data itself says which value is better (more marketplaces, a larger figure of the same marketplace, a fresher release, a verified mark on a marketplace that lists both), the better one is also marked green with ▲ and the worse one red with ▼. Where it runs, the transport, the tools, the settings, hooks, the bundle's parts, the licence and the week's changes are marked only as different: more or fewer is not better in itself.
What each says it does
AWS Labs Nova Canvas
AI image generation using Amazon Nova Canvas.
design-engineering
Design engineering for AI agents — animation, transitions, typography, color, components, layout, accessibility, anti-patterns, sound, SVG, launch films. Plus a SOUL.md identity layer and ten workflow subagents. Distills Emil Kowalski, Benji Taylor, Jakub Antalik, guidelines.sh, Vercel, Ben DC, DiceBear, lucide-animated, Google Labs design.md, Agentation.
How to run each
AWS Labs Nova Canvas As a local MCP server: Docker image
claude mcp add --env "AWS_SECRET_ACCESS_KEY=<YOUR_AWS_SECRET_ACCESS_KEY>" --env "AWS_SESSION_TOKEN=<YOUR_AWS_SESSION_TOKEN>" --transport stdio awslabs-nova-canvas -- docker run -i --rm -e AWS_SECRET_ACCESS_KEY -e AWS_SESSION_TOKEN mcp/nova-canvas-mcp-serverRequires: AWS_SECRET_ACCESS_KEY (secret), AWS_SESSION_TOKEN (secret)
design-engineering As a Claude Code plugin
/plugin marketplace add agentsorg/design-engineering
/plugin install design-engineering@design-engineeringCommands built only from what the marketplaces declare; the full set for every client is on each card.
Tools each declares
The marketplaces of design-engineering publish no list of tools, so we do not compare tools.
Settings each asks for
The marketplaces of design-engineering publish no settings it asks for, so we do not compare settings.
What it can do: AWS Labs Nova Canvas · What it can do: design-engineering · Compare two other plugins
Data comes from the Docker MCP Catalog (desktop.docker.com/mcp/catalog) and Docker Hub. Data comes from public marketplace files in GitHub repositories of their authors. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.