# nova3d-mcp

> nova3d-mcp — raresense-nova3d-mcp. Use this tool when you need to generate structured 3D assets with editable parts and joints for seamless integration into game engines, simulations, and AR scenes. It solves the problem of creating complex 3D models with separate editable components, allowing for efficient editing and customization. With input of design parameters and output of 3D models with named parts and real joints, nova3d-mcp enables AI agents to create interactive and dynamic 3D assets.

Canonical page: https://skillsregistry.net/skills/raresense-nova3d-mcp  
JSON: https://api.skillsregistry.net/v1/skills/raresense-nova3d-mcp

## Description

Enables AI agents to generate structured, part-aware 3D assets with named parts and real joints, allowing separate editing and integration into game engines, simulations, and AR scenes.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/whlgahztf0)
- **Repository:** <https://github.com/RareSense/nova3d-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": "raresense-nova3d-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/raresense-nova3d-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/raresense-nova3d-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
