# SpatialLens

> Use this tool when you need to parse and analyze 3D scene data from USD/USDZ/USDA files, solving problems like scene graph hierarchy extraction and entity relationship analysis. It takes in USD/USDZ/USDA files as input and outputs structured JSON data, enabling AI agents to interface with 3D spatial data. Ideal for use cases requiring spatial position and material shader graph analysis via CLI and MCP tools.

Canonical page: https://skillsregistry.net/skills/revivrstudios-spatiallens-mcp  
JSON: https://api.skillsregistry.net/v1/skills/revivrstudios-spatiallens-mcp

## Description

Parses USD/USDZ/USDA files into structured JSON for AI agents, enabling scene graph hierarchy, material shader graphs, spatial positions, and entity relationship analysis via CLI and MCP tools.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dnqr8h036q)
- **Repository:** <https://github.com/RevivrStudios/spatiallens-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": "revivrstudios-spatiallens-mcp"
    }
  }
}
```

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