micu-image-mcp: MCP server wrapping 米醋 gpt-image-2 / gpt-image-2-pro proxy

by Subaru486desuwa · MCP Server · ★ 262

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

How to install micu-image-mcp

git clone https://github.com/Subaru486desuwa/micu-image-mcp.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 62/100

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.

Quick Facts

Stars262
Forks17
LanguageRust
CategoryMCP Server
Quality Score62/100
Last Updated2026-10-22
Created2026-05-08
Platformsclaude-code, cli, codex, mcp, rust
Est. Tokens~24k

About micu-image-mcp

米醋画图 MCP 把 米醋 的图像接口包装成 MCP server,让 Claude Code / Codex / Cursor 等 MCP 客户端直接生图、改图、批处理、多图参考。 默认使用 / 。可选配置 后,也能走米醋 Grok 图像通道。 注意:米醋后台的 Image2 分组和 Grok 分组通常是两把不同的 key: : Image2 分组 token,必须能看到 / : Grok 图像分组 token,必须能看到 如果把 Grok 分组 token 填进 ,运行时会出现类似 的错误。 当前实测 Grok 图像模型包括: 功能 第一次使用前,让 LLM 调一次 ,可以看到当前运行时配置和可用能力。 Grok 与 GPT Image2 功能差异 支持 1K /

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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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