# imagengen

> imagengen — danton721-imagengen. Use this tool when you need to generate or edit images without native image generation capabilities, such as in MCP clients like Claude Code. It solves problems like creating visual content for various applications, providing inputs like text prompts and outputs like generated images. It is ideal for use cases where text-to-image conversion is required, utilizing providers like Gemini, Grok, and GPT-image.

Canonical page: https://skillsregistry.net/skills/danton721-imagengen  
JSON: https://api.skillsregistry.net/v1/skills/danton721-imagengen

## Description

Generates and edits images via Gemini, Grok, and GPT-image providers for MCP clients like Claude Code that lack native image generation.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vn2qppauux)
- **Repository:** <https://github.com/danton721/imagengen>

## 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": "danton721-imagengen"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/danton721-imagengen` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/danton721-imagengen/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