# mcp-meshgen

> mcp-meshgen — zavora-ai-mcp-meshgen. Use this tool when you need to generate 3D models from 2D images, leveraging local image-to-3D conversion capabilities with pluggable backends and MCP Tasks. It solves problems related to 3D model creation, providing a versatile solution for various use cases. The tool accepts image inputs and produces 3D models as outputs, ideal for applications requiring efficient and accurate 3D modeling.

Canonical page: https://skillsregistry.net/skills/zavora-ai-mcp-meshgen  
JSON: https://api.skillsregistry.net/v1/skills/zavora-ai-mcp-meshgen

## Description

Local image-to-3D MCP server (Rust): TRELLIS.2 on Apple Silicon via trellis-mac, pluggable backends, MCP Tasks

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-27

## Source

- **Source listing:** [GitHub](https://github.com/zavora-ai/mcp-meshgen)

## 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": "zavora-ai-mcp-meshgen"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zavora-ai-mcp-meshgen` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zavora-ai-mcp-meshgen/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