AWS Labs Nova Canvas vs videozero
AWS Labs Nova Canvas is an MCP server published by awslabs. Marketplaces we read that list it: 1 (Docker MCP Catalog). videozero is a plugin bundle for AI coding tools published by VideoZero. Marketplaces we read that list it: 1 (Claude Code: claude-plugins-community). As of our marketplace pass on 2026-10-12. 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 | ||
|---|---|---|
| Docker MCP Catalog | Listed Version: sha256:5582496accaa Forks (GitHub): 1 805 Pulls (Docker Hub): 11 083 Stars (Docker Hub): 0 Stars (GitHub): 9 773 Not marked · First seen |
Not listed |
| Claude Code: claude-plugins-community | Not listed | Listed Version: 0.1.0 Forks (GitHub): 0 Stars (GitHub): 0 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 | videozero |
|---|---|---|
| Marketplaces that list it | 1 | 1 |
| Stars (GitHub) (differs) | 9 773 (better) | 0 (worse) |
| Pulls (Docker Hub) (differs) | 11 083 | No figure on Docker Hub |
| Forks (GitHub) (differs) | 1 805 (better) | 0 (worse) |
| Last release | Not published | Not published |
| Where it runs (differs) | On your machine (mcp/nova-canvas-mcp-server) | Remote server (engine.videozero.ai/mcp) |
| Transport (differs) | stdio | Streamable HTTP |
| 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 | 1 |
| Licence (differs) | Apache-2.0 | Not stated |
| Repository (differs) | github.com/awslabs/mcp | github.com/videozero/claude-plugin |
| Changes in the last 7 days | 0 | 0 |
| First seen (differs) | 2026-10-11 | 2026-10-12 |
| Endpoint at the last check (differs) | no remote endpoint we check | not checked yet |
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.
videozero
Generate 2D animations and full explainer videos with VideoZero. Create engaging kinetic typography, illustrative charts, or animate complex algorithms and fomula.
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)
videozero
No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.
Commands built only from what the marketplaces declare; the full set for every client is on each card.
Tools each declares
The marketplaces of videozero publish no list of tools, so we do not compare tools.
Settings each asks for
The marketplaces of videozero publish no settings it asks for, so we do not compare settings.
What it can do: AWS Labs Nova Canvas · What it can do: videozero · Compare two other plugins
Data comes from the Docker MCP Catalog (desktop.docker.com/mcp/catalog) and Docker Hub. Data comes from the public marketplace file https://github.com/anthropics/claude-plugins-community/blob/HEAD/.claude-plugin/marketplace.json. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.