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Generate images MCP server

@Tomocrystal

Repository

Basic information

Category

Media & Design

Transports

stdio

Author

Tomocrystal

About Generate images MCP server

A Model Context Protocol server for generating images

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

Generate images MCP server config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

Generate images MCP server tools

Tool list not available yet

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Overview

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.

Frequently asked questions

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).

Comments

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