Schogini Image Border vs iLook Face Analysis
Schogini Image Border is an MCP server published by schogini. Marketplaces we read that list it: 1 (Docker MCP Catalog). iLook Face Analysis is an MCP server published by ilook.fit. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-11-11. 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 | ||
|---|---|---|
| Docker MCP Catalog | Listed Version: sha256:aadb75058ed1 Forks (GitHub): 0 Pulls (Docker Hub): 36 851 Stars (Docker Hub): 0 Stars (GitHub): 0 Not marked · First seen |
Not listed |
| Official MCP Registry | Not listed | Listed Version: 1.3.1 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
| Fact | Schogini Image Border | iLook Face Analysis |
|---|---|---|
| Marketplaces that list it | 1 | 1 |
| Stars (GitHub) (differs) | 0 | No figure on GitHub |
| Pulls (Docker Hub) (differs) | 36 851 | No figure on Docker Hub |
| Forks (GitHub) (differs) | 0 | No figure on GitHub |
| Last release | Not published | Not published |
| Where it runs (differs) | On your machine (mcp/schogini_mcp_image_border) | Remote server (www.ilook.fit/mcp) |
| Transport (differs) | stdio | Streamable HTTP |
| 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/harshul1404/ilook |
| 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 | Responded 29 h 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
Schogini Image Border
This adds a border to an image and returns base64 encoded image.
iLook Face Analysis
Analyze user-submitted face photos with a complete report or 13 focused face-analysis tools.
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_border
iLook Face Analysis As a remote MCP server
claude mcp add --transport http face-analysis https://www.ilook.fit/mcp
Commands built only from what the marketplaces declare; the full set for every client is on each card.
Only iLook Face Analysis has a remote endpoint we check. How we check endpoints
Tools each declares
The marketplaces of iLook Face Analysis 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: iLook Face Analysis · 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.