# 8th Wall

> Use this tool when you need to rapidly prototype WebAR experiences without requiring deep technical knowledge of WebXR frameworks. It solves problems such as light painting, model showcases, image tracking, and physics simulations by analyzing natural language descriptions to automatically generate AR experiences. The 8th Wall MCP Server takes in natural language inputs and outputs complete XR applications with customizable components and project management tools.

Canonical page: https://skillsregistry.net/skills/superdwayne-8thwall-desktop  
JSON: https://api.skillsregistry.net/v1/skills/superdwayne-8thwall-desktop

## Description

8th Wall MCP Server enables AI assistants to build WebAR experiences through natural language by providing tools for both web-based projects (A-Frame/Three.js) and 8th Wall Desktop integration. Built by Dwayne Paisley-Marshall, it features an orchestration system that analyzes natural language descriptions to automatically generate AR experiences like light painting, model showcases, image tracking, and physics simulations. The server includes asset discovery across PolyHaven and local files, code generation for custom components, pre-built templates for common AR patterns, and comprehensive project management tools that can scaffold complete XR applications, making it valuable for rapid prototyping of AR experiences without requiring deep technical knowledge of WebXR frameworks.

## Trust

- **Trust score (0–1):** 0.62
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/superdwayne-8thwall-desktop)
- **Repository:** <https://github.com/superdwayne/8thwallmcp>

## 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": "superdwayne-8thwall-desktop"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/superdwayne-8thwall-desktop` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/superdwayne-8thwall-desktop/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
