# pointcloud-mcp

> pointcloud-mcp — jyou-syo-pointcloud-mcp. Use this tool when you need to process and analyze large point cloud data in LAS or LAZ formats, solving problems such as data comparison, volume calculation, and visualization through heatmaps and PDF reports. It provides a range of functionalities including loading, diffing, and reporting, with inputs of point cloud data and outputs of various analysis results. Ideal for use cases in civil engineering, surveying, and mapping, where detailed analysis of 3D point cloud data is required.

Canonical page: https://skillsregistry.net/skills/jyou-syo-pointcloud-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jyou-syo-pointcloud-mcp

## Description

World-first MCP server for point cloud (LAS/LAZ) processing — load, diff, volume, heatmap, PDF report. Tested on real-world Japanese ICT civil engineering data.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** maps-location
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/jyou-syo/pointcloud-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": "jyou-syo-pointcloud-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jyou-syo-pointcloud-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jyou-syo-pointcloud-mcp/pull`

---
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