gpt-image-1-mcp: A Model Context Protocol (MCP) server for generating and editing images using the OpenAI gpt-image-1 model

by CLOUDWERX-DEV · MCP Server · ★ 18

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

Security audit verdict: SAFE · quality 69/100

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.

generationgpt-image-1imagemcpmcp-serveropenai

Quick Facts

Stars18
Forks6
LanguageJavaScript
CategoryMCP Server
LicenseMIT
Quality Score69/100
Open Issues4
Last Updated2025-05-07
Created2025-05-07
Platformsmcp, node
Est. Tokens~17k

About gpt-image-1-mcp

A Model Context Protocol (MCP) server for generating and editing images using the OpenAI gpt-image-1 model.

Compatible Skills

These tools work well together with gpt-image-1-mcp for enhanced workflows:

  • gpt-image-skill — semantic(0.46)+complementary+shared_fw(openai)+same_lang+similar_pop+shared_platform (74%)
  • gpt-image-2-gen-skill — semantic(0.68)+complementary+same_lang+similar_pop+shared_platform (74%)

gpt-image-1-mcp alternative? Top 2 similar tools

Looking for a gpt-image-1-mcp alternative? If you're comparing gpt-image-1-mcp with other mcp server tools, these 2 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • image-gen-mcp by lansespirit · ⭐ 70

    An MCP server that integrates with gpt-image-1 & Gemini imagen4 model for text-to-image generation services

  • GPT2-Telegram-Chatbot by xluxeq · ⭐ 69

    GPT-2 Telegram Chat bot

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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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