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Tomocrystal

generate_image-mcp-server

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A Model Context Protocol server for generating images

0 stars JavaScriptAI & Machine Learning Updated Mar 3, 2025

Documentation

Generate images MCP server

兼容OpenAI DALL-E 模型 API调用的 Model Context Protocol (MCP) 服务器实现。

本项目基于https://github.com/nicekate/flux-dev-mcp改编，感谢原作者的贡献。

使用了完全兼容OpenAI接口的 转发API 服务，包含openai以及Anthropic等多家大语言模型API，MidJourney和Flux等文生图绘画模型API，

最新模型claude-3-7-sonnet已上线!!

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技术栈

  • TypeScript
  • Node.js
  • 端脑云 API

快速开始

环境要求

  • Node.js 16+
  • npm 或 yarn
  • Windows 或 MacOS 系统

安装依赖

bash
# Windows/MacOS 通用命令
npm install

构建项目

bash
# Windows/MacOS 通用命令
npm run build

开发模式

启动带有自动重新构建的开发模式：

bash
# Windows/MacOS 通用命令
npm run watch

Cline/ROO CODE 插件配置说明

在 Cline/ROO CODE 插件中，需要配置 MCP 服务器的启动命令。请按照以下步骤进行配置：

配置内容示例：

Windows:

json
{
  "mcpServers": {
    "genimg-mcp": {
      "command": "node",
      "arg": ["C:\\path\\to\\genimg-mcp\\dist\\index.js"],
      "env": {
        "OPENAI_API_KEY": "sk-xxxxx",
        "OPENAI_MODEL_ID": "dall-e-3"  # 可选
      }
    }
  }
}

MacOS:

json
{
  "mcpServers": {
    "genimg-mcp": {
      "command": "/path/to/genimg-mcp/dist/index.js",
      "env": {
        "OPENAI_API_KEY": "sk-xxxxx",
        "OPENAI_MODEL_ID": "dall-e-3"  # 可选
      }
    }
  }
}

注意：

  • Windows 路径使用双反斜杠 `\\` 或单正斜杠 `/`
  • MacOS 路径使用单正斜杠 `/`
  • 请确保路径指向实际安装位置

调试指南

由于 MCP 服务器通过标准输入输出（stdio）通信，调试可能会比较困难。我们推荐使用 MCP Inspector 工具：

bash
# Windows/MacOS 通用命令
npm run inspector

Inspector 将提供一个浏览器访问地址，用于访问调试工具。

联系方式

如需支持，请联系1813345945@qq.com。

许可证

本项目采用 MIT 许可证，详见 LICENSE 文件。

Frequently asked questions

What is generate_image-mcp-server?

generate_image-mcp-server is A Model Context Protocol server for generating images

How do I install generate_image-mcp-server?

Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

Is generate_image-mcp-server open source?

Yes — it is hosted on GitHub at https://github.com/Tomocrystal/generate_image-mcp-server.

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