# DALL-E MCP Server

> Use this tool when you need to generate high-quality images with customizable parameters, solving use cases such as artistic creation, design prototyping, and visual content generation. It takes text prompts and configuration inputs, producing unique images as output, saved locally to the filesystem. Ideal for applications requiring dynamic image creation with error handling and flexibility.

Canonical page: https://skillsregistry.net/skills/szabadkai-imagegen-mcp  
JSON: https://api.skillsregistry.net/v1/skills/szabadkai-imagegen-mcp

## Description

Enables AI assistants to generate high-quality images using OpenAI's DALL-E 3 model with configurable parameters like size, quality, and style. Generated images are automatically saved to the local filesystem with comprehensive error handling.

## Trust

- **Trust score (0–1):** 0.69
- **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:** [Glama](https://glama.ai/mcp/servers/o2bh9g9xtn)
- **Repository:** <https://github.com/szabadkai/imagegen-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": "szabadkai-imagegen-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/szabadkai-imagegen-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/szabadkai-imagegen-mcp/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