# OpenAI GPT-Image MCP Server

> Use this tool when you need to generate or edit images using AI, and want to leverage the capabilities of OpenAI's GPT Image API with features like multi-image generation and batch processing. It solves problems such as automating image creation, editing, and processing, and provides inputs like text prompts and image parameters, with outputs including generated images and editing results. Ideal for use cases like content creation, graphic design, and data augmentation, where efficient and scalable image generation is required.

Canonical page: https://skillsregistry.net/skills/ex-takashima-openai-gpt-image-1-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/ex-takashima-openai-gpt-image-1-mcp-server

## Description

Enables image generation and editing using OpenAI's GPT Image API (gpt-image-1, 1.5, 2) with support for multi-image generation, history management, and batch processing.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fpzqimxq5c)
- **Repository:** <https://github.com/ex-takashima/openAI-gpt-image-1-MCP-SERVER>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ex-takashima-openai-gpt-image-1-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ex-takashima-openai-gpt-image-1-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ex-takashima-openai-gpt-image-1-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt