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Generate images MCP server

@Tomocrystal

代码仓库

基本信息

分类

媒体与设计

传输方式

stdio

作者

Tomocrystal

关于 Generate images MCP server

A Model Context Protocol server for generating images

#generate-image#mcp-server#image-generation

Generate images MCP server 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

Generate images MCP server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Generate images MCP server?

A Model Context Protocol server implementation compatible with OpenAI DALL-E model API calls. It uses a forwarding API service fully compatible with OpenAI interfaces, supporting large language models from OpenAI and Anthropic, as well as image generation models like MidJourney and Flux.

How to use Generate images MCP server?

Install dependencies with npm install, build with npm run build, then configure the MCP server in Cline/ROO CODE with the command, args, and env settings including OPENAI_API_KEY and optional OPENAI_MODEL_ID. For development, use npm run watch for auto-rebuilding.

Key features of Generate images MCP server

  • Fully compatible with OpenAI DALL-E API format.
  • Supports multiple image models: DALL-E, MidJourney, Flux.
  • Easy configuration via environment variables.
  • Built with TypeScript and Node.js.
  • Includes debugging support via MCP Inspector.

Use cases of Generate images MCP server

  • Generate images from text prompts inside AI assistants using DALL-E.
  • Use MidJourney or Flux models for creative image generation.
  • Integrate image generation into custom MCP-powered applications.
  • Replace direct API calls with a standardized MCP interface.

常见问题

1

What runtime is required?

Node.js 16+ and npm or yarn. Works on Windows and macOS.

2

How do I configure the server in Cline/ROO CODE?

Set the `command` to `node` (Windows) or the built index.js path (macOS), and provide `OPENAI_API_KEY` in the `env` field. Optionally set `OPENAI_MODEL_ID`.

3

What image models are supported?

Models compatible with the OpenAI API format, including DALL-E 3, MidJourney, and Flux, through a forwarding API service.

4

How can I debug the server?

Use MCP Inspector by running `npm run inspector`. It provides a browser URL for debugging tools.

5

Is an API key required?

Yes, you need an `OPENAI_API_KEY` from the forwarding API service (see the README for a registration link).

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