# Cinevva Game Engine

> Cinevva Game Engine — cinevva-engine-mcp. Use this tool when you need to create interactive 3D browser games without coding knowledge or extensive game development experience. The Cinevva Game Engine solves the problem of game development complexity by leveraging AI to build, host, and share games, using free 3D assets and automated playtesting. It takes game descriptions as input and outputs playable, shareable games with their own links, making it ideal for rapid game prototyping and development.

Canonical page: https://skillsregistry.net/skills/cinevva-engine-mcp  
JSON: https://api.skillsregistry.net/v1/skills/cinevva-engine-mcp

## Description

Turn the AI you already use into a game studio. Describe a game and Claude or Cursor builds it as a real 3D browser game: playable immediately, hosted on its own link, shareable with anyone. No engine, no build step, no code knowledge, nothing to export. Your AI ships the whole thing: it pulls free 3D assets, rigs characters, and playtests its own build until the game works. Free to start.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/s2yv7khje5)
- **Repository:** <https://github.com/cinevva-engine/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": "cinevva-engine-mcp"
    }
  }
}
```

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