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Gen Image MCP Server

Developer ToolsLow Risk10.0MCP RegistryLocal
Free

Server data from the Official MCP Registry

Local stdio MCP for OpenAI-compatible and Gemini image generation, editing, and model fallback.

About

Local stdio MCP for OpenAI-compatible and Gemini image generation, editing, and model fallback.

Security Report

10.0
Low Risk10.0Low Risk

Valid MCP server (2 strong, 1 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry.

9 files analyzed · 1 issue found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

file_system

Check that this permission is expected for this type of plugin.

HTTP Network Access

Connects to external APIs or services over the internet.

What You'll Need

Set these up before or after installing:

Full HTTP/HTTPS base URL for the configured image API provider.Optional

Environment variable: GEN_IMAGE_BASE_URL

API key for the configured image API provider.Required

Environment variable: GEN_IMAGE_API_KEY

Optional comma-separated OpenAI Images API model list. Configure this or GEN_IMAGE_GEMINI_MODEL.Optional

Environment variable: GEN_IMAGE_MODEL

Optional comma-separated Gemini image model list. Configure this or GEN_IMAGE_MODEL.Optional

Environment variable: GEN_IMAGE_GEMINI_MODEL

Optional true/false switch for sequential model fallback.Optional

Environment variable: GEN_IMAGE_AUTO_FALLBACK

Optional per-request upstream timeout in milliseconds; defaults to 120000. Positive integer, maximum 2147483647.Optional

Environment variable: GEN_IMAGE_TIMEOUT_MS

How to Install

Add this to your MCP configuration file:

{
  "mcpServers": {
    "io-github-yuluo688-gen-image-mcp": {
      "env": {
        "GEN_IMAGE_MODEL": "your-gen-image-model-here",
        "GEN_IMAGE_API_KEY": "your-gen-image-api-key-here",
        "GEN_IMAGE_BASE_URL": "your-gen-image-base-url-here",
        "GEN_IMAGE_TIMEOUT_MS": "your-gen-image-timeout-ms-here",
        "GEN_IMAGE_GEMINI_MODEL": "your-gen-image-gemini-model-here",
        "GEN_IMAGE_AUTO_FALLBACK": "your-gen-image-auto-fallback-here"
      },
      "args": [
        "-y",
        "gen-image-mcp"
      ],
      "command": "npx"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

gen-image MCP

中文 | English

npm version MCP Registry License: MIT

GitHub 项目:yuluo688/gen-image-mcp | 已登记 官方 MCP Registry

在 Claude Code、Cursor、VS Code 里一句话调用 GPT Image 或 Gemini(Nano Banana)生图、改图,图片直接存进项目目录;模型挂了自动切换到下一个。

为什么用它

  • 图片直接落到项目里:保存在运行 MCP 的机器上,代码马上就能引用。
  • 用自己的服务和 Key:任意 OpenAI 兼容的 Images 接口(gpt-image-2、gpt-image-1.5 等),或经 OpenAI 兼容网关提供的 Gemini 图像模型(Nano Banana 系列)。本项目不托管任何模型。
  • 失败自动切换:容量不足、限流先有限退避重试,再按顺序换下一个模型。
  • 生图、参考图、改图全覆盖:文生图、参考图生成、多图编辑和蒙版,返回内联预览和 structuredContent。

30 秒上手

需要 Node.js ≥ 20(推荐 24 LTS)。准备好 服务根地址(不带 /v1,服务会自动拼接 /v1/images/* 和 /v1/chat/completions)、API Key,以及至少一组模型。下面的模型名只是示例,请填写你的服务商实际提供的模型 ID;不用的那组请删掉对应变量,不要留空字符串。

Claude Code

claude mcp add --env GEN_IMAGE_BASE_URL=https://your-gateway.example \
  --env GEN_IMAGE_API_KEY=your-api-key \
  --env GEN_IMAGE_MODEL=gpt-image-2,gpt-image-1.5 \
  --env GEN_IMAGE_GEMINI_MODEL=gemini-3.1-flash-image,gemini-2.5-flash-image \
  --env GEN_IMAGE_AUTO_FALLBACK=true \
  --transport stdio gen-image -- npx -y gen-image-mcp

加 --scope user 可在所有项目中使用。注意最后一个 --env 和服务名之间要隔一个其他参数(如 --transport stdio)。

  • Cursor:一键添加到 Cursor,安装后在 ~/.cursor/mcp.json 里把占位地址和 Key 换成真实值。
  • VS Code:在 VS Code 中安装(会弹窗让你输入地址和 Key)。

Claude Desktop / Cline / Windsurf 等使用 mcpServers 的客户端

{
  "mcpServers": {
    "gen-image": {
      "command": "npx",
      "args": ["-y", "gen-image-mcp"],
      "env": {
        "GEN_IMAGE_BASE_URL": "https://your-gateway.example",
        "GEN_IMAGE_API_KEY": "your-api-key",
        "GEN_IMAGE_MODEL": "gpt-image-2,gpt-image-1.5",
        "GEN_IMAGE_GEMINI_MODEL": "gemini-3.1-flash-image,gemini-2.5-flash-image",
        "GEN_IMAGE_AUTO_FALLBACK": "true"
      }
    }
  }
}

OpenCode(项目里的 opencode.json 或全局 ~/.config/opencode/opencode.json;Windows 上改为 "command": ["cmd", "/c", "npx", "-y", "gen-image-mcp"])

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "gen-image": {
      "type": "local",
      "command": ["npx", "-y", "gen-image-mcp"],
      "enabled": true,
      "environment": {
        "GEN_IMAGE_BASE_URL": "https://your-gateway.example",
        "GEN_IMAGE_API_KEY": "your-api-key",
        "GEN_IMAGE_MODEL": "gpt-image-2,gpt-image-1.5",
        "GEN_IMAGE_GEMINI_MODEL": "gemini-3.1-flash-image,gemini-2.5-flash-image",
        "GEN_IMAGE_AUTO_FALLBACK": "true"
      }
    }
  }
}

各客户端字段名不同:env 还是 environment,command + args 还是单个 command 数组,mcpServers 还是 mcp / servers,请按你的客户端文档的格式填写。Windows 原生环境:如果服务起不来(Connection closed、ENOENT),请通过 cmd 启动 npx,例如 "command": "cmd", "args": ["/c", "npx", "-y", "gen-image-mcp"]。

重启客户端,应能看到 4 个工具。然后直接说:“生成一张 16:9 的落地页头图,保存到 public/hero.png。”

工具一览

工具用途上游端点
generate_image文生图(尺寸、质量、1–4 张、png/jpeg/webp)POST /v1/images/generations
edit_image编辑或合并 1–16 张本地图片,可加蒙版POST /v1/images/edits
generate_gemini_imageGemini 文生图或参考图生成,支持 10 种宽高比POST /v1/chat/completions
list_models查看已配置的模型组和默认模型(不联网)无

详细文档

配置说明 · 模型选择、失败切换与重试 · 工具参数参考 · 文件、输出与 structuredContent · 常见问题 · 参与开发

许可证:MIT © 2026 yuluo688。不替代上游模型服务条款,也不约定生成图片的权利归属。

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