About OpenAI Image Generation MCP
OpenAI Image Generation MCP is an MCP server for AI assistants that generate and edit images with OpenAI's GPT-image-1 model. It can save results locally, optionally upload them to Cloudflare ImgBed, and check server health.
Key features
- 01Generate images from text
- 02Edit images with prompts and masks
- 03Save generated images locally
- 04Optional Cloudflare ImgBed uploads
- 05Check server health
Use cases
- 01Create images from text descriptions
- 02Modify existing images with prompts
- 03Store generated results locally
- 04Verify that the server is running
MCP support
The MCP server exposes oai_generate_image, oai_edit_image, and health_check tools for image generation, editing, and status checks.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEOpenAI Image Generation MCP
A Model Context Protocol (MCP) server for OpenAI image generation API. This MCP enables AI assistants like Claude to generate and edit images using OpenAI's GPT-image-1 model.
Table of Contents
Features
- Generate images using OpenAI's image generation models
- Edit existing images with text prompts and optional masks
- Automatically save generated images to local storage
- Optionally upload generated images to Cloudflare ImgBed
- Health check endpoint to verify server status
- Multiple ways to provide API key (env var, command line, direct)
Installation
- Clone the repository and install dependencies:
git clone https://github.com/yourusername/openai-image-gen-mcp.git
cd openai-image-gen-mcp
npm install
- Build the TypeScript project:
npm run build
Quick Start
1. Using the Run Script (Recommended for Production)
The easiest way to start the full-featured MCP server:
./run-with-key.sh
This script has the API key embedded and starts the MCP server with all features.
2. Using Direct API Key (For Testing)
node hardcoded-key.js
This is a simplified version with the API key directly embedded in the code.
3. Using Environment Variables
export OPENAI_API_KEY=your-api-key
./start.sh
Configuration
Claude MCP Configuration
To connect Claude to this MCP, use this configuration file:
{
"mcpServers": {
"openai-image-gen": {
"command": "node",
"args": ["/Users/jerry/openai-image-gen-mcp/build/index.js"]
}
}
}
⚠️ IMPORTANT: Use the full-featured compiled version (build/index.js) for production. The simplified versions are for testing and education only.
Available Tools
The MCP provides these tools to Claude:
- oai_generate_image - Generate images from text prompts
- oai_edit_image - Edit existing images with text prompts
- health_check - Verify the server's health status
Example usage in Claude:
Generate an image of a sunset over mountains with a lake in the foreground.
Claude will use the appropriate MCP tool to create the image.
Detailed Documentation
For more detailed information, please see:
- Architecture - System design and components
- Pipeline - Development and request processing pipeline
- Guidelines - Best practices and usage guidelines
- Explanation - Detailed explanation of the code and APIs
Directory Structure
openai-image-gen-mcp/
├── build/ # Compiled JavaScript code
├── docs/ # Documentation files
├── output/ # Generated images
├── src/ # TypeScript source code
│ ├── config.js # Configuration management
│ └── index.ts # Main MCP server implementation
├── *.sh # Helper scripts
├── *.js # Simplified versions and utilities
└── *.json # Configuration files
Troubleshooting
If you encounter problems:
- Check that your API key is valid and properly formatted
- Ensure the output directory exists and is writable
- Run the health check to verify server status
- Check logs for detailed error information
- Try the simplified version to isolate issues
For more help, see the Troubleshooting section in the guidelines.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.