OpenAI Image Generation MCP Server

A Model Context Protocol (MCP) Server that interfaces with the OpenAI API for image generation using the gpt-image-1 model.

Features

• Generate images using OpenAI's gpt-image-1 model with various customization options

• Edit images by providing source images and prompts

• Save generated images to local storage in specified folders

• Control image formats, quality, and background transparency

Related MCP server: OpenAI Image Generation MCP Server

Installation

Install uv

On Mac you can install it using homebrew

brew install uv

Usage with Claude Code

Configure Claude Code to use this MCP server by updating your .cursor/mcp.json or other agent configuration:

{
  "mcpServers": {
    "openai-image": {
      "command": "uv",
      "args": [
        "--directory",
        "/Users/marabian/mcp-servers/openai-imagegen-mcp",
        "run",
        "mcp",
        "run",
        "main.py"
      ],
      "env": {
        "OPENAI_API_KEY": "your_api_key_here",
        "DEFAULT_SAVE_DIR": "/path/to/default/save/directory"
      }
    }
  }
}

Important Configuration Notes:

1. Replace your_api_key_here with your actual OpenAI API key.

2. For the DEFAULT_SAVE_DIR:

   • Set this to a directory where you want to save all generated images

   • You can use a relative path like ./images within your project

   • For projects, consider using a path like ${PROJECT_ROOT}/generated-images

   • Defaults to ./images in the MCP server directory if not specified

3. When working in different projects:

   • The agent will save images to DEFAULT_SAVE_DIR by default

   • You can override this within each tool call using the save_dir parameter

   • Images will be organized with unique timestamps to prevent conflicts

Available Tools

The OpenAI Image Generation MCP Server provides the following tools:

Image Generation

• generate_image - Generate an image based on a text prompt

• edit_image - Edit an existing image based on a new prompt

• get_available_models - List available OpenAI image generation models

Image Management

• list_saved_images - List images saved in the specified directory

• set_save_directory - Set the directory where generated images will be saved

Examples

Generating an Image

# Generate a landscape image with transparent background
generate_image(
    prompt="A serene mountain landscape at sunset",
    size="1536x1024",
    background="transparent",
    output_format="png",
    save_dir="/path/to/project/images",
    filename="sunset_landscape"
)

Editing Images

# Combine multiple source images into a new composition
edit_image(
    prompt="Create a cohesive scene with these objects",
    image_paths=["/path/to/image1.png", "/path/to/image2.png"],
    quality="high",
    save_dir="/path/to/project/edits",
    filename="composed_scene"
)