# PointCloud MCP

> PointCloud MCP — feelgom-pointcloud-mcp. Use this tool when you need to analyze and understand 3D point cloud data using intuitive natural language queries. It solves problems such as extracting insights from large 3D datasets, detecting planes, and aligning point clouds, by providing inputs like PLY/PCD files and outputs like descriptive metadata and aligned models. Ideal for use cases where complex 3D data needs to be quickly and easily interpreted, such as in robotics, computer vision, and 3D modeling applications.

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

## Description

Enables querying 3D point cloud files (PLY/PCD) using natural language. Provides tools for point cloud description, plane detection, and ICP alignment.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cex8wbr0up)
- **Repository:** <https://github.com/feelgom/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": "feelgom-pointcloud-mcp"
    }
  }
}
```

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