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AWS Labs Nova Canvas vs Glint Model Hub — image generation for AI agents

AWS Labs Nova Canvas is an MCP server published by awslabs. Marketplaces we read that list it: 1 (Docker MCP Catalog). Glint Model Hub — image generation for AI agents is an MCP server published by zzzjy765. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-11-10. 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 CanvasGlint Model Hub — image generation for AI agents
Docker MCP Catalog Listed
Version: sha256:5582496accaa
Forks (GitHub): 1 867
Pulls (Docker Hub): 11 631
Stars (Docker Hub): 0
Stars (GitHub): 9 899
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

AWS Labs Nova Canvas vs Glint Model Hub — image generation for AI agents
FactAWS Labs Nova CanvasGlint Model Hub — image generation for AI agents
Marketplaces that list it11
Stars (GitHub) (differs)9 899No figure on GitHub
Pulls (Docker Hub) (differs)11 631No figure on Docker Hub
Forks (GitHub) (differs)1 867No figure on GitHub
Last releaseNot publishedNot published
Where it runs (differs)On your machine (mcp/nova-canvas-mcp-server)Not stated
Transport (differs)stdioNot stated
Tools it declares (differs)2Not published
Environment variables it asks for (differs)5, secrets among them: 2Not published
Licence (differs)Apache-2.0Not stated
Repository (differs)github.com/awslabs/mcpNot stated
Changes in the last 7 days00
First seen2026-10-112026-10-11

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.

Glint Model Hub — image generation for AI agents

In its own words, on Official MCP Registry:

Generate and edit images with every image model on the platform. Returns the image to the agent.

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)

Glint Model Hub — image generation for AI agents

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 Glint Model Hub — image generation for AI agents publish no list of tools, so we do not compare tools.

Settings each asks for

The marketplaces of Glint Model Hub — image generation for AI agents publish no settings it asks for, so we do not compare settings.

What it can do: AWS Labs Nova Canvas · What it can do: Glint Model Hub — image generation for AI agents · 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.

Where the data comes from: how the catalog is built