# DALL-E 3

> Use this tool when you need to generate high-quality images with customizable parameters, solving problems in content creation, automated design, and AI assistant development. It takes text prompts and configuration options as input and produces images in various sizes, qualities, and styles as output. Ideal for use cases requiring programmatic access to image generation capabilities without manual interface navigation.

Canonical page: https://skillsregistry.net/skills/chrisurf-dalle3-image-generation  
JSON: https://api.skillsregistry.net/v1/skills/chrisurf-dalle3-image-generation

## Description

This MCP server provides DALL-E 3 image generation capabilities through OpenAI's API, enabling AI assistants to create high-quality images with configurable parameters including size (1024x1024, 1024x1792, 1792x1024), quality (standard, hd), and style (vivid, natural) options. Built by Chris Oguntolu using TypeScript with the Model Context Protocol SDK, it features automatic directory creation for saved images, comprehensive error handling and validation, and robust logging throughout the generation process. The implementation handles OpenAI API authentication through environment variables, saves generated images locally with descriptive filenames, and provides detailed success/failure responses, making it valuable for content creation workflows, automated design processes, and building AI assistants that need programmatic access to DALL-E 3's image generation capabilities without manual OpenAI interface navigation.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/chrisurf-dalle3-image-generation)
- **Repository:** <https://github.com/chrisurf/imagegen-mcp-d3>

## 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": "chrisurf-dalle3-image-generation"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chrisurf-dalle3-image-generation` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chrisurf-dalle3-image-generation/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