# openmandel

> openmandel — anhadlamba30-openmandel. Use this tool when you need to generate deterministic Mandelbrot images, solving problems of inconsistent or unpredictable visual outputs in AI-generated graphics. It provides a server-based interface for AI assistants to input parameters and receive generated images as output. Ideal for use cases requiring precise and reproducible visualizations, such as artistic or educational applications.

Canonical page: https://skillsregistry.net/skills/anhadlamba30-openmandel  
JSON: https://api.skillsregistry.net/v1/skills/anhadlamba30-openmandel

## Description

An MCP server that gives AI assistants deterministic Mandelbrot image-generation tools.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/anhadlamba30/openmandel)

## 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": "anhadlamba30-openmandel"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/anhadlamba30-openmandel` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/anhadlamba30-openmandel/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