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micu-image-mcp

by Subaru486desuwa · Python · ★ 64

View on GitHub ↗

MCP server wrapping 米醋 gpt-image-2 / gpt-image-2-pro proxy. One-click install for Claude Code / Codex / Cursor.

Install

pip install git+https://github.com/Subaru486desuwa/micu-image-mcp.git

Auto-generated from the repo's primary language — check the repo's own README for its exact install instructions.

Claude Desktop config

A starting point for your claude_desktop_config.json (auto-generated — the repo's README may specify a published package name or required env vars): 

{
  "mcpServers": {
    "micu-image-mcp": {
      "command": "uvx",
      "args": [
        "git+https://github.com/Subaru486desuwa/micu-image-mcp.git"
      ]
    }
  }
}

From the README

把 [米醋](https://www.micuapi.ai) 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： - - - - |---| | | 文生图。米醋 image2 支持 1K / 2K / 4K；Grok 支持 1K / 2K 路由 | | | 单图参考/编辑。image2 走 （1K ~1.57MP，2K best-effort 真 2K）；Grok 走 | | | 多张图逐张同指令处理 | | | 2-10 张参考图融合成 1 张新图；Grok 走 | | | 查看 base URL、模型、size 规则、重试策略、安全约束 | 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。 --- 面向 Cursor / Claude Code…
Read full README on GitHub →

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