# threejs-mcp

> threejs-mcp — charliekerfoot-threejs-mcp. Use this tool when you need to generate and modify 3D scenes, and want to leverage a wide range of tools for scene setup, animation, and interaction. It solves problems related to 3D visualization, simulation, and interaction, and accepts inputs such as scene descriptions and modification requests, outputting modified 3D scenes. Ideal for use cases where dynamic 3D content creation and manipulation are required, such as virtual reality, gaming, and architectural visualization.

Canonical page: https://skillsregistry.net/skills/charliekerfoot-threejs-mcp  
JSON: https://api.skillsregistry.net/v1/skills/charliekerfoot-threejs-mcp

## Description

Enables AI assistants to generate and modify Three.js 3D scenes by providing a wide range of tools for scene setup, cameras, geometry, materials, lighting, controls, loaders, animation, interaction, helpers, post-processing, environment, UI, physics, and XR.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/y336o59qnd)
- **Repository:** <https://github.com/CharlieKerfoot/threejs-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": "charliekerfoot-threejs-mcp"
    }
  }
}
```

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