# GPT Image 2

> Use this tool when you need to generate images using AI, providing flexible backend options and conversation context management. It solves problems such as automating image creation and handling varying backend availability, with inputs including conversation context and backend selection, and outputs including generated images stored in designated directories. Ideal for use cases requiring dynamic image generation, such as creative projects or data visualization.

Canonical page: https://skillsregistry.net/skills/ramlyburger-gpt-image-2  
JSON: https://api.skillsregistry.net/v1/skills/ramlyburger-gpt-image-2

## Description

GPT Image 2 provides image generation through three selectable backends: the official OpenAI API, ChatGPT web automation via Patchright browser control, or an automatic fallback mode. The server stores generated images in platform-appropriate directories and supports both new and continuing conversation contexts. Users can check backend status and toggle browser visibility for the automation mode.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ramlyburger-gpt-image-2)
- **Repository:** <https://github.com/ramlyburger/gpt-image-2-mcp>

## 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": "ramlyburger-gpt-image-2"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ramlyburger-gpt-image-2` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ramlyburger-gpt-image-2/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