# MeshLab-mcp

> Use this tool when you need to perform 3D mesh processing tasks through natural language commands, enabling remote mesh operations via HTTP and TCP backends. It solves problems related to 3D model processing, analysis, and editing, allowing users to input natural language commands and receive processed 3D mesh outputs. Ideal for use cases requiring automated or remote 3D mesh processing, such as computer-aided design, 3D printing, or virtual reality applications.

Canonical page: https://skillsregistry.net/skills/georges999-meshlab-mcp  
JSON: https://api.skillsregistry.net/v1/skills/georges999-meshlab-mcp

## Description

MCP bridge for MeshLab enabling mesh operations via HTTP and TCP backends using pymeshlab. Allows MCP clients to perform 3D mesh processing tasks through natural language.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/t1yr8sqb4v)
- **Repository:** <https://github.com/Georges999/MeshLab-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": "georges999-meshlab-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/georges999-meshlab-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/georges999-meshlab-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
