# threenative-asset-mcp

> threenative-asset-mcp — jonit-dev-threenative-asset-mcp. Use this tool when you need to discover and download 3D assets, textures, and audio files from multiple sources, with features like structured search and metadata management. It solves problems of asset discovery, download, and organization, providing a unified interface for accessing various asset libraries. The tool takes search queries and asset requests as input and outputs downloadable assets, making it ideal for game development, 3D modeling, and virtual reality projects.

Canonical page: https://skillsregistry.net/skills/jonit-dev-threenative-asset-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jonit-dev-threenative-asset-mcp

## Description

An MCP server for discovering and downloading 3D assets, textures, HDRIs, animations, and game audio from multiple sources like Fab, Poly Haven, ambientCG, and others, with structured search, metadata, and guarded direct downloads.

## 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:** media
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wmu0guj8va)
- **Repository:** <https://github.com/jonit-dev/threenative-asset-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": "jonit-dev-threenative-asset-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jonit-dev-threenative-asset-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jonit-dev-threenative-asset-mcp/pull`

---
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