Schogini Image Border vs Remove AI Watermarks
Schogini Image Border is an MCP server published by schogini. Marketplaces we read that list it: 1 (Docker MCP Catalog). Remove AI Watermarks is an MCP server published by wiltodelta. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-11-05. 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 |   Schogini Image Border |  Remove AI Watermarks |
|---|---|---|
| Docker MCP Catalog | Listed Version: sha256:aadb75058ed1 Forks (GitHub): 0 Pulls (Docker Hub): 36 706 Stars (Docker Hub): 0 Stars (GitHub): 0 Not marked · First seen |
Not listed |
| Official MCP Registry | Not listed | Listed Version: 0.54.0 Downloads/month (PyPI): 8 510 Downloads/week (PyPI): 2 046 Forks (GitHub): 588 Stars (GitHub): 6 270 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 | Schogini Image Border | Remove AI Watermarks |
|---|---|---|
| Marketplaces that list it | 1 | 1 |
| Stars (GitHub) (differs) | 0 (worse) | 6 270 (better) |
| Pulls (Docker Hub) (differs) | 36 706 | No figure on Docker Hub |
| Forks (GitHub) (differs) | 0 (worse) | 588 (better) |
| Last release (differs) | Not published | 2026-11-05 |
| Where it runs (differs) | On your machine (mcp/schogini_mcp_image_border) | On your machine (remove-ai-watermarks) |
| Transport | stdio | stdio |
| Tools it declares (differs) | 3 | Not published |
| Environment variables it asks for | Not published | Not published |
| Licence | Not stated | Not stated |
| Repository (differs) | github.com/schogini/schogini_mcp_image_border | github.com/wiltodelta/remove-ai-watermarks |
| Changes in the last 7 days (differs) | 0 | 4 |
| First seen (differs) | 2026-10-11 | 2026-10-18 |
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
Schogini Image Border
This adds a border to an image and returns base64 encoded image.
Remove AI Watermarks
Identify and remove AI watermarks and provenance metadata from your own images and video.
How to run each
Schogini Image Border As a local MCP server: Docker image
claude mcp add --transport stdio schogini-mcp-image-border -- docker run -i --rm mcp/schogini_mcp_image_borderRemove AI Watermarks As a local MCP server: PyPI package
claude mcp add --transport stdio remove-ai-watermarks -- uvx remove-ai-watermarks mcpCommands built only from what the marketplaces declare; the full set for every client is on each card.
Tools each declares
The marketplaces of Remove AI Watermarks publish no list of tools, so we do not compare tools.
Settings each asks for
Neither one's marketplaces publish the settings it asks for.
What it can do: Schogini Image Border · What it can do: Remove AI Watermarks · 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.