AWS Labs Nova Canvas vs io.github.onepunchtechnology/glassypic
AWS Labs Nova Canvas is an MCP server published by awslabs. Marketplaces we read that list it: 1 (Docker MCP Catalog). io.github.onepunchtechnology/glassypic is an MCP server published by onepunchtechnology. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-10-28. 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 |  io.github.onepunchtechnology/glassypic |
|---|---|---|
| Docker MCP Catalog | Listed Version: sha256:5582496accaa Forks (GitHub): 1 835 Pulls (Docker Hub): 11 449 Stars (Docker Hub): 0 Stars (GitHub): 9 839 Not marked · First seen |
Not listed |
| Official MCP Registry | Not listed | Listed Version: 2.1.3 Downloads/month (npm): 591 Downloads/week (npm): 243 Forks (GitHub): 1 Stars (GitHub): 2 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 | io.github.onepunchtechnology/glassypic |
|---|---|---|
| Marketplaces that list it | 1 | 1 |
| Stars (GitHub) (differs) | 9 839 (better) | 2 (worse) |
| Pulls (Docker Hub) (differs) | 11 449 | No figure on Docker Hub |
| Forks (GitHub) (differs) | 1 835 (better) | 1 (worse) |
| Last release (differs) | Not published | 2026-10-16 |
| Where it runs (differs) | On your machine (mcp/nova-canvas-mcp-server) | Remote server (app.glassypic.com/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/onepunchtechnology/glassypic-mcp-server |
| 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 | Answered with HTTP 400 (2 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.
io.github.onepunchtechnology/glassypic
Production-ready images in one pass: resize, crop, compress, convert format, upscale, tag for SEO
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)
io.github.onepunchtechnology/glassypic As a remote MCP server
claude mcp add --transport http glassypic https://app.glassypic.com/mcpCommands built only from what the marketplaces declare; the full set for every client is on each card.
Only io.github.onepunchtechnology/glassypic has a remote endpoint we check. How we check endpoints
Tools each declares
The marketplaces of io.github.onepunchtechnology/glassypic publish no list of tools, so we do not compare tools.
Settings each asks for
The marketplaces of io.github.onepunchtechnology/glassypic publish no settings it asks for, so we do not compare settings.
What it can do: AWS Labs Nova Canvas · What it can do: io.github.onepunchtechnology/glassypic · 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.