imagegen-mcp: MCP server for OpenAI Image Generation & Editing — text-to-image, image-to-image (with mask), no extra plugins

by spartanz51 · MCP Server · ★ 37

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 72/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

cursormcpmcp-serveropenai

Quick Facts

Stars37
Forks11
LanguageTypeScript
CategoryMCP Server
Quality Score72/100
Open Issues1
Last Updated2025-05-02
Created2025-04-29
Platformsmcp, node
Est. Tokens~15k

About imagegen-mcp

MCP server for OpenAI Image Generation & Editing — text-to-image, image-to-image (with mask), no extra plugins.

Compatible Skills

These tools work well together with imagegen-mcp for enhanced workflows:

  • WebAI2API — semantic(0.32)+complementary+shared_fw(openai)+similar_pop+shared_platform (54%)
  • Image-MetaHub — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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