NVIDIA Elements

Name: NVIDIA Elements
Author: NVIDIA

by NVIDIAversion 2.2.16i★ –iRuns on your computer

Registry nameio.github.NVIDIA/elements

Install

Overview

Description from the maker (original English)

NVIDIA Elements UI design system and agent tools for AI/ML, robotics, and autonomous vehicles.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Design, images & audio

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "elements": {
      "command": "npx",
      "args": [
        "-y",
        "@nvidia-elements/cli",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add elements -- npx -y @nvidia-elements/cli mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "elements": {
      "command": "npx",
      "args": [
        "-y",
        "@nvidia-elements/cli",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "elements": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@nvidia-elements/cli",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account NVIDIA, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Design, images & audioi

More stars than 0% of the other 2186 servers in this category
Published to the registry more recently than 90% of the other 2186 servers in this category
Basic checks equal to or better than 100% of the other 2186 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is NVIDIA Elements safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (2.2.16) reached the registry 4 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Let any LLM watch a video locally — and search everything it has ever watched.

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Figma MCP Server

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Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.

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Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

@nvidia-elements/cli

NVIDIA Design System and UI Agent Harness for AI/ML Factories, Robotics, and Autonomous Vehicles.

The @nvidia-elements/cli is a dual-mode command-line tool for the Elements Design System. It provides interactive CLI commands and a Model Context Protocol (MCP) server for AI assistant integration.

Purpose

This package serves two primary modes:

Interactive CLI (`nve` command) - Command-line interface with interactive prompts for:

Component API discovery and search
Example template browsing and searching
Template linting and validation
Project scaffolding and health checks
Changelog and version information
Design token access
Icon name lookup
Bundled agent skill access

MCP Server (`nve mcp` command) - Model Context Protocol server that:

Exposes MCP-supported tools to AI assistants (Claude, Cursor, etc.)
Provides context-specific prompts for common tasks
Enables AI-assisted development with Elements components
Integrates Elements knowledge directly into AI workflows

Getting Started

The best way to get started is to run the install script.

curl -fsSL https://nvidia.github.io/elements/install.sh | bash

On Windows, run the PowerShell installer.

irm https://nvidia.github.io/elements/install.ps1 | iex

For agents and CI, invoke the canonical path directly: $HOME/.nve/bin/nve on macOS and Linux, or $env:LOCALAPPDATA\nve\bin\nve.exe on Windows.

Alternatively you can install with Node.js and npm.

npm install -g @nvidia-elements/cli

Usage

Command	Description
`nve`	Show About and help output.
`nve api.list [format]`	Get a list of all available Elements (`nve-*`) APIs and components.
`nve api.get [--format ]`	Get documentation for one to five known components or attributes (`nve-*`).
`nve api.validate [paths..]`	Check HTML and JSON from explicit file paths, glob patterns, or standard input (`--stdin`) using Elements lint rules.
`nve api.imports.get`	Get ESM imports for an HTML template using Elements APIs (`nve-*`).
`nve api.tokens.list [format] [query]`	Get available semantic CSS custom properties and design tokens for theming.
`nve api.icons.list [format]`	Get available icon names for `nve-icon` and `nve-icon-button`.
`nve examples.list [format]`	Get available Elements (`nve-*`) starter templates, patterns, and examples.
`nve examples.get [format]`	Get the full template of a known example or pattern by ID.
`nve project.create [cwd] [start]`	Create a new starter project.
`nve project.setup [cwd]`	Set up or update a project to use Elements.
`nve project.validate [cwd]`	Check project configuration and dependencies.
`nve packages.list`	Get latest published versions of all Elements packages.
`nve packages.get`	Get details for a specific Elements package.
`nve packages.changelogs.get [format] [limit]`	Retrieve changelog details by package name.
`nve skills.install [--global]`	Install the Elements agent skill in the project or for the current user.
`nve mcp`	Start the MCP server.

Global Options

Option	Description
`--help`	Show help.
`--version`	Show version number.
`--upgrade`	Upgrade Elements CLI (`nve`) to the latest version.
`--debug`	Enable debug output for tools.

MCP

Quick Setup

The fastest way to configure MCP is with the project.setup command:

nve project.setup

This detects your package manager, configures the MCP server for Cursor, Codex, and Claude Code, and adds Elements core dependencies to the project.

Claude Code

Install to Claude Code by adding the configuration to your .mcp.json file. The file is typically located at ~/.config/claude-code/.mcp.json or %APPDATA%\claude-code\.mcp.json on Windows.

"mcpServers": { "nvidia_elements": { "description": "NVIDIA Elements UI Design System (nve-*), custom element schemas, APIs and examples", "command": "nve", "args": ["mcp"] } } }

After adding the configuration, restart Claude Code for the changes to take effect. The Elements MCP tools are then available for use in your conversations.

Cursor

Install to Cursor with the MCP configuration below.

// .cursor/mcp.json

{ "mcpServers": { "nvidia_elements": { "description": "NVIDIA Elements UI Design System (nve-*), custom element schemas, APIs and examples", "command": "nve", "args": ["mcp"] } } }

Codex

Install to Codex with the MCP configuration below.

[mcp_servers.nvidia_elements]

description = "NVIDIA Elements UI Design System (nve-*), custom element schemas, APIs and examples" command = "nve" args = ["mcp"]

Prompts

Prompt	Description	Example Prompt
`/artifact`	Create a standalone Elements UI artifact	`/artifact` Create an example login form
`/doctor`	Verify Elements setup and MCP configuration	`/doctor`
`/create-project`	Create a new Elements starter project	`/create-project` Create a todo app
`/migrate`	Migrate from deprecated Elements APIs	`/migrate` Migrate this project from deprecated Elements APIs

NVIDIA Elements Skill

Elements provides one elements skill with reference files for artifact creation, setup checks, project integration, and migration. Install the complete directory in the current project:

nve skills.install

This writes .agents/skills/elements/ and .claude/skills/elements/. Add --global to install it for the current user at ~/.agents/skills/elements/ instead. The command replaces existing elements directories at the selected destinations so stale references do not remain.

Alternatively, install the Elements agent skill with the open skills CLI:

npx skills add https://github.com/nvidia/elements --skill elements

This route does not install the Elements CLI or configure the MCP server. Use nve project.setup for complete project setup, and continue to use the CLI or MCP tools for deterministic API lookup and template validation.

MCP Tools

Tool	Description
`api_list`	Get list of all available Elements (nve-\*) APIs and components.
`api_get`	Get documentation known components or attributes by name (nve-\*).
`api_validate`	Checks HTML and JSON files or supplied content with Elements lint rules.
`api_imports_get`	Get esm imports for a given HTML template using Elements APIs (nve-\*).
`api_tokens_list`	Get available semantic CSS custom properties / design tokens for theming.
`packages_list`	Get latest published versions of all Elements packages.
`packages_get`	Get details for a specific Elements package.
`packages_changelogs_get`	Retrieve changelog details by package name.
`examples_list`	Get list of available Elements (nve-\*) patterns and examples.
`examples_get`	Get the full template of a known example or pattern by id.
`project_create`	Create a new starter project.
`project_validate`	Check project for configuration issues and dependencies.
`project_setup`	Setup or update a project to use Elements.

NVIDIA Elements

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Design, images & audioi

Common questions

Alternatives

Figma Context MCP

Claude Real Video

Figma MCP Server

README from the maker

@nvidia-elements/cli

Purpose

Getting Started

Usage

Global Options

MCP

Quick Setup

Claude Code

Cursor

Codex

Prompts

NVIDIA Elements Skill

MCP Tools

Links