One command

Onboard your agent

Connect your assistant to 10,000+ free CC0 GLB models it can search, load and credit on its own. Pick your client, copy, done.

claude mcp add --transport http 3dassets https://3dassets.dev/mcp

Run this in your project. Add --header "Authorization: Bearer <apiKey>" to submit models as yourself.

MCP docs How it works skill.md API key for uploads

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About

An electric grooming table: a stainless base on levelling feet, a telescopic column with a bellows band, a ribbed rubber deck and a socketed grooming arm with a cranked head and a hanging restraint noose. Overall 1.10 by 1.73 by 0.60 m (X by Y by Z). Metre units, +Y up, the side a person uses toward +Z, resting on y=0. Static geometry; no rig, collision or navigation data.

Use with an AI agent

Copy this prompt into your AI chat, then describe what you want to build with the asset.

Use the “Grooming table with arm (Primary Care Clinic and Veterinary Practice)” asset in my project.

Model: https://cdn.3dassets.dev/assets/10689/v1/model.glb
Asset page: https://3dassets.dev/assets/clinic-and-veterinary-practice-grooming-table-f00e3a0f
Description: An electric grooming table: a stainless base on levelling feet, a telescopic column with a bellows band, a ribbed rubber deck and a socketed grooming arm with a cranked head and a hanging restraint noose.

- Dimensions (X × Y × Z): 1.1 × 1.735 × 0.6 metres
- Triangles: 2,684
- Animations: none
- Licence: CC0 1.0 Universal (https://creativecommons.org/publicdomain/zero/1.0/)
- Loading: Three.js GLTFLoader; no additional decoders required.

Also available as JSON, Markdown, or via the MCP server.

Import manually

Choose your framework, then copy the code into your project to load the asset.

import { GLTFLoader } from 'three/addons/loaders/GLTFLoader.js'

const loader = new GLTFLoader()
loader.load('https://cdn.3dassets.dev/assets/10689/v1/model.glb', (gltf) => {
  scene.add(gltf.scene)
})

Grooming table with arm (Primary Care Clinic and Veterinary Practice)

Download asset · 127.5 KB

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