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AWS Labs Nova Canvas vs excalidrawer

AWS Labs Nova Canvas is an MCP server published by awslabs. Marketplaces we read that list it: 1 (Docker MCP Catalog). excalidrawer is a plugin bundle for AI coding tools published by guohaonan-shy. Marketplaces we read that list it: 1 (Claude Code: claude-plugins-community). As of our marketplace pass on 2026-10-30. 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 Canvasexcalidrawer
Docker MCP Catalog Listed
Version: sha256:5582496accaa
Forks (GitHub): 1 835
Pulls (Docker Hub): 11 496
Stars (Docker Hub): 0
Stars (GitHub): 9 848
Not marked · First seen
Not listed
Claude Code: claude-plugins-community Not listed Listed
Version: 0.0.3
Forks (GitHub): 0
Stars (GitHub): 9
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 excalidrawer
FactAWS Labs Nova Canvasexcalidrawer
Marketplaces that list it11
Stars (GitHub) (differs)9 848 (better)9 (worse)
Pulls (Docker Hub) (differs)11 496No figure on Docker Hub
Forks (GitHub) (differs)1 835 (better)0 (worse)
Last releaseNot publishedNot published
Where it runs (differs)On your machine (mcp/nova-canvas-mcp-server)On your machine (excalidrawer)
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 bundle6
Licence (differs)Apache-2.0MIT
Repository (differs)github.com/awslabs/mcpgithub.com/guohaonan-shy/excalidrawer
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.

excalidrawer

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

Code-first Excalidraw diagram generation with SVG and PNG export. Say "draw a flowchart" or "create an architecture diagram" and it just works — no browser required. Supports flowcharts, architecture diagrams, sequence diagrams, and timelines from JSON data. Uses resvg-js for fast native PNG rendering.

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)

excalidrawer As a Claude Code plugin

Claude Code
/plugin marketplace add anthropics/claude-plugins-community
/plugin install excalidrawer@claude-community

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

Tools each declares

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

Settings each asks for

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

What it can do: AWS Labs Nova Canvas · What it can do: excalidrawer · 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.

Where the data comes from: how the catalog is built