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Comparison

AWS Labs Nova Canvas vs hyperframes

AWS Labs Nova Canvas is an MCP server published by awslabs. Marketplaces we read that list it: 1 (Docker MCP Catalog). hyperframes is a plugin bundle for AI coding tools published by heygen-com. Marketplaces we read that list it: 1 (Claude Code: claude-plugins-official). 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

Where each is published
MarketplaceAWS Labs Nova Canvashyperframes
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-official Not listed Listed
Version: 0.8.61
Forks (GitHub): 5 510
Stars (GitHub): 61 563
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 hyperframes
FactAWS Labs Nova Canvashyperframes
Marketplaces that list it11
Stars (GitHub) (differs)9 773 (worse)61 563 (better)
Pulls (Docker Hub) (differs)11 083No figure on Docker Hub
Forks (GitHub) (differs)1 805 (worse)5 510 (better)
Last releaseNot publishedNot published
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 bundle21
LicenceApache-2.0Apache-2.0
Repository (differs)github.com/awslabs/mcpgithub.com/heygen-com/hyperframes
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.

hyperframes

In its own words, on Claude Code: claude-plugins-official:

HyperFrames by HeyGen. Write HTML, render video. Compositions, GSAP and runtime adapter animations, captions, voiceovers, audio-reactive visuals, and website-to-video capture for HyperFrames.

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)

hyperframes As a Claude Code plugin

Claude Code
/plugin install hyperframes@claude-plugins-official

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

Tools each declares

The marketplaces of hyperframes publish no list of tools, so we do not compare tools.

Settings each asks for

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

What it can do: AWS Labs Nova Canvas · What it can do: hyperframes · 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-official/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.

Where the data comes from: how the catalog is built