MCP.Market

NVIDIA Elements MCP server

by NVIDIA·io.github.NVIDIA/elements·v2.2.16·94 stars

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

A86/100grade A
What users say
No reviews yet
Be the first
Safety scan
A86/100

not scanned yet

Adoption
Established

94 stars375 downloads/wk

Reviews

Write one

Nobody has reviewed NVIDIA Elements yet.

If you have run it, two minutes of your experience saves the next person an afternoon.

NVIDIA Elements tools

No tool declarations could be read from the package source. They show once the server is installed.

Not scanned yet. New listings are scanned within a day or two of arriving.

How NVIDIA Elements compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
86/100
higher than 75% of 4,460 AI and agents servers
GitHub stars
94
more than 94% of 2,711 AI and agents servers
Downloads a week
375
more than 83% of 1,538 AI and agents servers with a package

Release history: 11 versions in the registry since 2026-09-12, latest 2026-11-03, typically one every 5 days.

Install NVIDIA Elements in Claude Code, Cursor or VS Code

Runs npx -y @nvidia-elements/cli on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add elements -- npx -y @nvidia-elements/cli
Add to Cursor

What the publisher says

From the NVIDIA Elements repository's README, as published. We do not edit it. Read it on GitHub

NVIDIA Elements

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

  • Agent-ready tooling: CLI and MCP expose component APIs, tokens, examples, imports, validation, and setup to terminals and AI assistants.
  • Framework agnostic: Web Components run in React, Angular, Vue, Svelte, Lit, plain HTML, server-rendered templates, and mixed stacks.
  • Built for AI infrastructure: Operational UI for AI/ML workloads, autonomous vehicle tools, and robotics consoles.
  • Stable API contracts: Skills and lint guide authoring best practices, common UI patterns, and automated static analysis.

NVIDIA Elements Skill

Install the Elements agent skill with the open skills CLI:

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

Requests and Contributions

  • NVIDIA Elements Documentation
  • Contribution Guidelines
  • Feature request
  • Bug report
  • Official NVIDIA Elements DESIGN.md

Organization

The repository uses a top-level repository with individual project directories.

Project directories have their own package.json and commands. Run CI and development setup at the root repository level.

Examples of projects include:

  • /projects/starters - Suite of standardized starter apps for Elements and Patterns
  • /projects/core - Elements library: curated UI maintained by the Elements team
  • /projects/themes - Elements Theme library: provides a set of supported themes for Element based projects
  • /projects/styles - Elements Styles library: provides a set of CSS utilities for layout and typography

Development

Setup

To set up repository dependencies and run the full build, run the following commands at the root of the repository:

The CI pipeline also builds Go starters. Install Go 1.26.x before running the full local CI pipeline.

# install dependencies https://mise.en.dev/getting-started.html
curl https://mise.run | sh
~/.local/bin/mise run setup

Troubleshooting

If you are coming from development from a different repository, you may need to refresh the repository toolchain with mise. Run mise run install at the root of the project to install the Node.js, pnpm, Vale, Go, Git LFS, and package versions from mise.toml and pnpm-lock.yaml.

If you actively switch between different repositories, run commands through mise exec -- or activate mise in your shell so it switches tools automatically.

Building

Both the top-level repository and each project have a set of standardized npm scripts. To build and test all projects, run mise exec -- pnpm run ci at the root of the repository.

Top-Level Repository

  • ci: run full build/lint/test
  • ci:all: entire CI process: build, lint, unit/lighthouse/visual tests
  • ci:reset: clear all caches/dependencies then reinstall dependencies

Individual Projects

Common project scripts include:

  • dev: run in watch mode
  • build: run project/library build
  • test: run unit tests
  • test:lighthouse: run lighthouse performance tests
  • test:visual: run playwright visual regression tests
  • test:axe: run axe tests for a11y

The available scripts vary by project. Check the project's package.json before running project-specific commands.

For details about the repository build and runtime flow, see the build system documentation.

Workflow

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Grade history

  • 2026-09-19restoreC → Ascore 86: eval / new Function used

NVIDIA Elements: common questions

Is NVIDIA Elements MCP server safe?
Yes, by our scan: it is graded A (86/100). Read the NVIDIA Elements safety report
How do I install NVIDIA Elements?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does NVIDIA Elements need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is NVIDIA Elements maintained?
The last commit was 20 days ago (2026-10-15). The latest release is v2.2.16.
What can I use instead of NVIDIA Elements?
Servers from other publishers that do the same job: Roast My Design System MCP server, Roast My Design System MCP server and Figma Context MCP server.
How does NVIDIA Elements compare with other AI and agents MCP servers?
safety score 86/100 (higher than 75% of 4,460 AI and agents servers); github stars 94 (more than 94% of 2,711 AI and agents servers); downloads a week 375 (more than 83% of 1,538 AI and agents servers with a package). Full comparison.

Alternatives to NVIDIA Elements

Same job from other publishers: the closest match first, then the best rated.

  • Roast My Design System
    Audit your Design System and serve your Agent the rules that keep AI-written UI on-system.
    A
  • Roast My Design System
    Audit your Design System and serve your Agent the rules that keep AI-written UI on-system.
    A
  • Figma Context
    Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
    B
  • Agent-Native Design
    Agent-Native design tool - create and edit visual designs with agent assistance
    A
  • Kiln
    Spawn an object into existence: describe it, and your agent designs it, checks it, and 3D prints it.
    B