# instant-meshes-mcp

> Use this tool when you need to automate 3D model optimization and analysis, solving problems such as complex model simplification and texture preservation. It takes OBJ and GLB files as input and outputs simplified, high-quality models with structured archiving. Ideal for use cases requiring efficient 3D model processing, such as gaming, simulation, and visualization applications.

Canonical page: https://skillsregistry.net/skills/lxy2109-instant-meshes-mcp  
JSON: https://api.skillsregistry.net/v1/skills/lxy2109-instant-meshes-mcp

## Description

An MCP server for 3D model processing that provides automated retopology, decimation, and quality analysis for OBJ and GLB files. It integrates Instant Meshes, pymeshlab, and Blender 3.6 to support smart simplification, texture preservation, and structured model archiving.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rmslxskrgz)
- **Repository:** <https://github.com/lxy2109/instant-meshes-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": "lxy2109-instant-meshes-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lxy2109-instant-meshes-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lxy2109-instant-meshes-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