# treegen

> treegen — andreglegg-treegen. Use this tool when you need to generate stylized, low-poly 3D trees for your projects, and want a high degree of control over the output. Treegen solves the problem of creating unique, deterministic tree models, and supports multiple presets for varied results. It takes input parameters and outputs GLB or OBJ assets, making it ideal for use in 3D modeling, game development, and simulation contexts.

Canonical page: https://skillsregistry.net/skills/andreglegg-treegen  
JSON: https://api.skillsregistry.net/v1/skills/andreglegg-treegen

## Description

MCP server for generating deterministic, stylized low-poly 3D trees. It supports multiple presets and can export GLB or OBJ assets.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/o8ezxv8nf8)
- **Repository:** <https://github.com/andreglegg/treegen>

## 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": "andreglegg-treegen"
    }
  }
}
```

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