# caliper

> Use this tool when you need to analyze 3D geometry files and extract structured metadata, solving problems such as object detection, scene understanding, and geometry optimization. It accepts 3D geometry files as input and returns metadata including bounding boxes, triangle counts, and point cloud statistics. Ideal for use cases requiring detailed geometric analysis, such as computer-aided design, robotics, and virtual reality applications.

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

## Description

Caliper is an MCP server that accepts 3D geometry files and returns structured metadata — bounding boxes, triangle counts, manifold analysis, point cloud statistics, and more.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-07-10

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/caliper/caliper)

## 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": "caliper-caliper"
    }
  }
}
```

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