# cloudcompare-mcp

> Use this tool when you need to process and analyze 3D point clouds and meshes using natural language commands, solving problems such as object recognition, scene understanding, and 3D modeling. It takes in natural language inputs and outputs processed 3D data, enabling AI assistants to perform tasks like mesh filtering and registration. Ideal for use cases where 3D data needs to be analyzed and manipulated efficiently, such as robotics, computer vision, and architectural modeling.

Canonical page: https://skillsregistry.net/skills/yufeioptimal-cloudcompare-mcp  
JSON: https://api.skillsregistry.net/v1/skills/yufeioptimal-cloudcompare-mcp

## Description

Enables AI assistants to process 3D point clouds and meshes using CloudCompare through natural language commands.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/n7ry6v72gz)
- **Repository:** <https://github.com/yufeioptimal/cloudcompare-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": "yufeioptimal-cloudcompare-mcp"
    }
  }
}
```

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