@mindstone/mcp-server-openai-image
npm
v0.3.2
Source verified
Published by mindstone — publish provenance cryptographically ties this package to that repository. That is proof of origin, not an official vendor package.
OpenAI image generation MCP server for Model Context Protocol hosts
The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.
1. Threat score — 100 − 0 = 100. What the published surface and source actually contain:
The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.
2. Client adoption risk — 100 − 0 = 100. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:
✓ No adoption-risk deductions — minimal blast radius, verified enough, and fully inspected.
Capability observations and info notes are shown under Findings but never scored.
Open any row's finding below for the file, line and evidence behind a deduction.
Each tool and what it can reach — statically extracted from the published source.
edit_imageno sensitive capabilitygenerate_imageno sensitive capabilityScan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.
| Version | Score | Findings | Engine | Scanned |
|---|---|---|---|---|
v0.3.2 latest |
A 100/100 | 0 | 1.13.0 | 2026-09-07 |
v0.3.1 |
A 100/100 | 0 | 1.12.1 | 2026-08-10 |
v0.2.0 |
A 100/100 | 0 | 1.12.1 | 2026-08-07 |
v0.1.2 |
A 99/100 | 0 | 1.10.0 | 2026-07-25 |
Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.
The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.
npx mcptrustchecker scan @mindstone/mcp-server-openai-image --online
Independent packages implementing the same tool, scanned with the same engine. Compare all 4 side by side →
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