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Comparison

AWS Labs Nova Canvas vs gflow-cli

AWS Labs Nova Canvas is an MCP server published by awslabs. Marketplaces we read that list it: 1 (Docker MCP Catalog). gflow-cli is a plugin bundle for AI coding tools published by Flavio Oliva. Marketplaces we read that list it: 1 (Community GitHub marketplaces). As of our marketplace pass on 2026-10-21. 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

Where each is published
MarketplaceAWS Labs Nova Canvasgflow-cli
Docker MCP Catalog Listed
Version: sha256:5582496accaa
Forks (GitHub): 1 820
Pulls (Docker Hub): 11 206
Stars (Docker Hub): 0
Stars (GitHub): 9 803
Not marked · First seen
Not listed
Community marketplace ffroliva/gflow-cli Not listed Listed
Version: 0.86.0
Forks (GitHub): 92
Stars (GitHub): 322
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

AWS Labs Nova Canvas vs gflow-cli
FactAWS Labs Nova Canvasgflow-cli
Marketplaces that list it11
Stars (GitHub) (differs)9 803 (better)322 (worse)
Pulls (Docker Hub) (differs)11 206No figure on Docker Hub
Forks (GitHub) (differs)1 820 (better)92 (worse)
Last release (differs)Not published2026-10-19
Where it runs (differs)On your machine (mcp/nova-canvas-mcp-server)Installs as a plugin bundle
Transport (differs)stdioNot stated
Tools it declares (differs)2Not published
Environment variables it asks for (differs)5, secrets among them: 2Not published
Parts of the bundle (differs)Not a bundle3
Licence (differs)Apache-2.0MIT
Repository (differs)github.com/awslabs/mcpgithub.com/ffroliva/gflow-cli
Changes in the last 7 days (differs)02
First seen (differs)2026-10-112026-10-13

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

In its own words, on Docker MCP Catalog:

AI image generation using Amazon Nova Canvas.

gflow-cli

In its own words, on Community GitHub marketplaces:

Drive Google Flow from your agent: Veo text-to-video, image-to-video and clip extension, Imagen images, reusable Characters and scene composition.

How to run each

AWS Labs Nova Canvas As a local MCP server: Docker image

Claude Code
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-server

Requires: AWS_SECRET_ACCESS_KEY (secret), AWS_SESSION_TOKEN (secret)

gflow-cli As a Claude Code plugin

Claude Code
/plugin marketplace add ffroliva/gflow-cli
/plugin install gflow@gflow-cli

Commands built only from what the marketplaces declare; the full set for every client is on each card.

Tools each declares

The marketplaces of gflow-cli publish no list of tools, so we do not compare tools.

Settings each asks for

The marketplaces of gflow-cli publish no settings it asks for, so we do not compare settings.

What it can do: AWS Labs Nova Canvas · What it can do: gflow-cli · 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.

Where the data comes from: how the catalog is built