# Flax Engine

> Use this tool when you need to create and manage complex scenes, assets, and gameplay mechanics in a unified environment. Flax Engine solves problems related to scene management, asset pipelines, and physics, among others, by providing 87 tools that cover various aspects of game development. It takes input through an HTTP service on localhost:9100 and outputs controlled editor functionality, making it ideal for use cases that require comprehensive control over game development workflows.

Canonical page: https://skillsregistry.net/skills/veradictus-flax-engine  
JSON: https://api.skillsregistry.net/v1/skills/veradictus-flax-engine

## Description

Flax Engine provides AI agents with full editor control through 87 tools covering scene management, actor transforms, asset pipelines, materials, physics, animation, rendering, audio, prefabs, colliders, and build settings. Runs as an HTTP service on localhost:9100 inside the Flax Editor, requiring no external server setup.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/veradictus-flax-engine)
- **Repository:** <https://github.com/veradictus/flaxmcp>

## 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": "veradictus-flax-engine"
    }
  }
}
```

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