Generate images MCP server

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.

FAQ from Generate images MCP server

What runtime is required?

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

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.

What image models are supported?

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

How can I debug the server?

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

Is an API key required?

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