AWS Labs Nova Canvas vs Ecom Image Optimizer
AWS Labs Nova Canvas is an MCP server published by awslabs. Marketplaces we read that list it: 1 (Docker MCP Catalog). Ecom Image Optimizer is an MCP server published by ecommerceimageoptimizer.com. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-10-18. 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 |  Ecom Image Optimizer |
|---|---|---|
| Docker MCP Catalog | Listed Version: sha256:5582496accaa Forks (GitHub): 1 815 Pulls (Docker Hub): 11 131 Stars (Docker Hub): 0 Stars (GitHub): 9 788 Not marked · First seen |
Not listed |
| Official MCP Registry | Not listed | Listed Version: 1.0.0 No figure published 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 | Ecom Image Optimizer |
|---|---|---|
| Marketplaces that list it | 1 | 1 |
| Stars (GitHub) (differs) | 9 788 | No figure on GitHub |
| Pulls (Docker Hub) (differs) | 11 131 | No figure on Docker Hub |
| Forks (GitHub) (differs) | 1 815 | No figure on GitHub |
| Last release | Not published | Not published |
| Where it runs (differs) | On your machine (mcp/nova-canvas-mcp-server) | Remote server (ecommerceimageoptimizer.com/api/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 |
| Licence (differs) | Apache-2.0 | Not stated |
| Repository (differs) | github.com/awslabs/mcp | github.com/brkmehdi/imageoptimizerforecom |
| Changes in the last 7 days | 0 | 0 |
| First seen | 2026-10-11 | 2026-10-11 |
| Endpoint at the last check (differs) | no remote endpoint we check | Responded 4 days ago |
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.
Ecom Image Optimizer
Resize, compress, convert, watermark and SEO-tag e-commerce product images from a public URL.
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)
Ecom Image Optimizer As a remote MCP server
claude mcp add --transport http image-optimizer https://ecommerceimageoptimizer.com/api/mcpCommands built only from what the marketplaces declare; the full set for every client is on each card.
Only Ecom Image Optimizer has a remote endpoint we check. How we check endpoints
Tools each declares
The marketplaces of Ecom Image Optimizer publish no list of tools, so we do not compare tools.
Settings each asks for
The marketplaces of Ecom Image Optimizer publish no settings it asks for, so we do not compare settings.
What it can do: AWS Labs Nova Canvas · What it can do: Ecom Image Optimizer · Compare two other plugins
Data comes from the Docker MCP Catalog (desktop.docker.com/mcp/catalog) and Docker Hub. Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.