# Airgen

> Use this tool when you need to generate visual assets like images, logos, and icons with ease, leveraging AI-powered design prompts to streamline your workflow. Airgen solves the problem of tedious and time-consuming visual asset creation, providing a simple interface for inputting design prompts and outputting customized images in various sizes and styles. Ideal for designers and developers, Airgen is perfect for software projects requiring quick and intelligent visual asset generation.

Canonical page: https://skillsregistry.net/skills/ricardolx-airgen  
JSON: https://api.skillsregistry.net/v1/skills/ricardolx-airgen

## Description

Airgen MCP is a TypeScript-based server for generating visual assets like images, logos, icons, and SVGs using OpenAI's DALL-E models. It provides a streamlined tool for asset generation with intelligent design prompts, supporting various image sizes and styles while abstracting away complex image generation workflows. The implementation is particularly useful for designers and developers needing quick, AI-generated visual assets for software projects.

## 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/ricardolx-airgen)
- **Repository:** <https://github.com/ricardolx/airgen-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": "ricardolx-airgen"
    }
  }
}
```

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