# Renderoni

> Renderoni — elemarin-renderoni. Use this tool when you need to build and control deterministic 3D game simulations, enabling seamless interaction between AI agents and humans. Renderoni solves problems in game development, simulation, and AI training by providing a unified interface for building, inspecting, and controlling simulations. It accepts 3D models and simulation parameters as inputs and outputs controlled simulation environments through its Model Context Protocol (MCP) server.

Canonical page: https://skillsregistry.net/skills/elemarin-renderoni  
JSON: https://api.skillsregistry.net/v1/skills/elemarin-renderoni

## Description

A batteries-included 3D engine for Three.js and Rapier that enables AI agents and humans to build, inspect, and control deterministic game simulations through a built-in Model Context Protocol (MCP) server.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/iufr9nmxcy)
- **Repository:** <https://github.com/elemarin/renderoni>

## 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": "elemarin-renderoni"
    }
  }
}
```

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