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NVIDIA Elements MCP Server

local only

NVIDIA Elements runs on your own machine — the client starts it, so there is no endpoint to ping. 848 installs a week from npm. Last commit 30 Oct 2026.

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

Installs per day peak 244 · avg 66 · +195% w/w
a month agotoday
848
Installs / week
npm · @nvidia-elements/cli
108
Stars
0 open issues
30 Oct 2026
Last commit
17 releases in 90 days
Apache-2.0
License
TypeScript

What the code does

We read the source, 2 d ago · rules 995398eba69f

Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

  <nve-steps behavior-select container="${1:condensed}">
    <nve-steps-item status="success">${2:Step 1}</nve-steps-item>
  spawn(command, args, { stdio: 'inherit' }).on('close', code => process.exit(code ?? 0));
  const tests = tryRead(path.join(PROJECTS_ROOT, dir, 'coverage/lighthouse/summary.json'));
  const data = eval(`html\`${template}\``); // treat parsed source string as a template literal
Touches key and credential files projects/internals/tools/src/project/starters.ts:197
    await writeFile(join(dist, '.npmrc'), 'registry=https://registry.npmjs.org/');

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

This code can reach further than it looks

We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.

Three servers free · no card

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

run in your terminal
claude mcp add elements -- npx -y @nvidia-elements/cli
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "elements": {
      "command": "npx",
      "args": [
        "-y",
        "@nvidia-elements/cli"
      ]
    }
  }
}
~/.codex/config.toml
[mcp_servers.elements]
command = "npx"
args = ["-y", "@nvidia-elements/cli"]
.cursor/mcp.json
{
  "mcpServers": {
    "elements": {
      "command": "npx",
      "args": [
        "-y",
        "@nvidia-elements/cli"
      ]
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "elements": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@nvidia-elements/cli"
      ]
    }
  }
}

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NVIDIA Elements — questions

Answers built from our own checks of this server.

Why is there no uptime for NVIDIA Elements?
NVIDIA Elements runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the npm package @nvidia-elements/cli was installed 848 times last week.
How do I connect NVIDIA Elements?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It runs locally, so the command pulls @nvidia-elements/cli straight from npm; nothing to host, nothing to sign up for.
How many people use NVIDIA Elements?
The npm package @nvidia-elements/cli was installed 848 times in the last week. Week over week that is +195%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is NVIDIA Elements open source?
Yes — it is published under the Apache-2.0 licence, written in TypeScript and 108 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.