# GPT Image 2 MCP Server

> GPT Image 2 MCP Server — kpkhxlgy0-claude-openai-gpt-image. Use this tool when you need to generate and edit images within a secure and organized workspace, leveraging OpenAI's GPT Image 2 model to create and modify visual content. It solves problems related to image creation and editing, providing a reliable and efficient solution for various projects. The tool accepts input parameters and image files, producing generated or edited images as output, making it ideal for use cases that require advanced image manipulation and creation capabilities.

Canonical page: https://skillsregistry.net/skills/kpkhxlgy0-claude-openai-gpt-image  
JSON: https://api.skillsregistry.net/v1/skills/kpkhxlgy0-claude-openai-gpt-image

## Description

Enables image generation and editing using OpenAI's GPT Image 2 model within a Claude Desktop Code project workspace, with security boundaries and no-overwrite file handling.

## Trust

- **Trust score (0–1):** 0.69
- **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/rbrjzvxfns)
- **Repository:** <https://github.com/kpkhxlgy0/claude-openai-gpt-image>

## 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": "kpkhxlgy0-claude-openai-gpt-image"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kpkhxlgy0-claude-openai-gpt-image` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kpkhxlgy0-claude-openai-gpt-image/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