# DALL-E

> Use this tool when you need to generate images from text prompts or edit existing images using AI. DALL-E enables the creation of custom images with various models, sizes, and styles, solving problems in workflows that require image generation capabilities. It takes text inputs and produces image outputs, making it ideal for use cases like conversational AI assistants that need to generate visual content on the fly.

Canonical page: https://skillsregistry.net/skills/garoth-dalle  
JSON: https://api.skillsregistry.net/v1/skills/garoth-dalle

## Description

DALL-E MCP Server enables AI assistants to generate images using OpenAI's DALL-E API. It supports creating images with DALL-E 2 or DALL-E 3, editing existing images (DALL-E 2 only), and creating variations of images (DALL-E 2 only). The server is configured with an OpenAI API key and offers flexible options for image generation including model selection, size, quality, style, and custom save locations. Particularly useful for workflows requiring image generation capabilities directly within AI assistant conversations.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/garoth-dalle)
- **Repository:** <https://github.com/garoth/dalle-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": "garoth-dalle"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/garoth-dalle` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/garoth-dalle/pull`

---
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