SureScaleAI/openai-gpt-image-mcp

Overview

An MCP server for OpenAI GPT image generation and editing, supporting create-image and edit-image operations with file or base64 output.

Capabilities

• • prompt templates
• • github integration
• • mcp client integration
• • workflow automation support

Best For

MCP server for OpenAI GPT image generation and editing, featuring create-image, edit-image, and file/base64 output capabilities.

Decision Snapshot

• • GitHub stars: 101
• • Forks: 31
• • Source provenance count: 1
• • Active signal: Updated this week from lifecycle signals.
• • Last seen: 4/15/2026
• • Published: 3/16/2026

Installation / Setup

git clone https://github.com/SureScaleAI/openai-gpt-image-mcp.git && cd openai-gpt-image-mcp && yarn install && yarn build

This is an MCP Find-authored example config generated from strong evidence.

Review official documentation and source metadata for complete setup parameters.

{
  "mcpServers": {
    "openai-gpt-image-mcp": {
      "command": "node"
    }
  }
}

Usage

{ && "mcpServers": { && "openai-gpt-image-mcp": { && "command": "node",

Features

• • **create-image**: Generate images from a prompt, with advanced options (size, quality, background, etc).
• • **edit-image**: Edit or extend images using a prompt and optional mask, supporting both file paths and base64 input.
• • **File output**: Save generated images directly to disk, or receive as base64.
• • OpenAI Images API Documentation
• • prompt templates
• • github integration
• • mcp client integration
• • workflow automation support

Use Cases

• • Supports capabilities such as: prompt templates; github integration; mcp client integration.
• • Common usage themes: mcp, curated, markdown-list, awesome-mcp-servers-punkpeye.

Supported Clients / Integrations

• • prompt templates
• • github integration
• • mcp client integration
• • workflow automation support

Compatibility Signals

• • GitHub: supports (Detected in parser config/capability hints.)

Prompt Examples

Notes / Requirements

• • Primary language: TypeScript/JavaScript
• • License: MIT
• • Documentation coverage: medium
• • Parser coverage score: 1.00
• • Source feeds: Awesome MCP Servers (punkpeye)
• • Topic cluster: general

Official Links

• Website
• Repository
• Documentation 1 (/docs/api-reference/images)

Source Information

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