What is the key difference between Figwright and NVIDIA Elements?

Figwright belongs to the Architecture & Design category with local stdio execution, while NVIDIA Elements belongs to the Architecture & Design category with cloud HTTP/SSE execution.

How do I install Figwright or NVIDIA Elements in Claude Desktop or Cursor?

Copy the mcpServers JSON configuration snippet provided on this page into your claude_desktop_config.json or ~/.cursor/mcp.json file and restart your AI client.

Are Figwright and NVIDIA Elements free or paid?

Figwright operates under a Free / Open Source model (No auth required). NVIDIA Elements operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Figwright lists 3 tools with 5 views and 536 GitHub stars. NVIDIA Elements lists 0 tools with 0 views and 78 GitHub stars.

Can I use both Figwright and NVIDIA Elements together in the same MCP host?

Yes! MCP hosts like Claude Desktop, Cursor, Windsurf, Cline, and VS Code support configuring multiple servers under the mcpServers object simultaneously.

Side-by-Side Model Context Protocol Comparison

Figwright vs NVIDIA Elements

In-depth architectural comparison of the Figwright and NVIDIA Elements MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

At a Glance & Executive Verdict

Figwright

Architecture & Design · Local stdio

Quality: 69/100 (Great) | Auth: No auth required

NVIDIA Elements

Architecture & Design · Remote HTTP/SSE

Quality: 45/100 (Fair) | Auth: No auth required

Verdict Summary: Choose Figwright if you need specialized Architecture & Design tools running via a local process. Choose NVIDIA Elements if your workspace requires Architecture & Design integration with remote web transport. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose Figwright when:

You need dedicated capabilities in the Architecture & Design domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
You have access to required keys: FIGMA_PLUGIN_PORT, FIGMA_PLUGIN_HOST.
Primary tools included: Read, Write, Grounding.

Explore Figwright Details

Choose NVIDIA Elements when:

You need dedicated capabilities in the Architecture & Design domain.
You prefer remote streaming HTTP/SSE transport architecture.
Your security boundary fits: No auth required (Free / Open Source).

Explore NVIDIA Elements Details

Feature & Specification Comparison

Specification	Figwright awdr74100 Architecture & Design	NVIDIA Elements Architecture & Design
Summary	Bidirectional Figma server over a local WebSocket relay: turn a selection into framework-aware code (reusing your components and tokens), or author frames, text, styles, variables, and whole screens back onto the canvas. 92 tools, any MCP client, no Dev Mode seat or paid tier.	NVIDIA Elements UI design system and agent tools for AI/ML, robotics, and autonomous vehicles.
Category & Scope	Architecture & Design

Tools & Capabilities Breakdown

Figwright Tools (3)

Read

selection, document and node inspection, styles, variables, components, fonts, reactions, motion (animation) state, screenshots, original image-fill assets, PDF export, and video export of animated frames (MP4 / GIF / WebM).

Write

create and edit frames, text, shapes, auto-layout, effects, styles, variables, components (including authoring their boolean/text/instance-swap properties), pages, reactions, and Motion animations (keyframes, animation-style presets, timelines); plus a `batch` tool to apply many edits at once.

Grounding

`get_design_context` for faithful, de-duplicated design context, and `component_map` / `token_map` / `icon_map`, which join Figma data to your codebase so codegen reuses what you already have; plus `design_diff`, which reports what changed in a design against a saved baseline so you update only the…

NVIDIA Elements Tools (0)

No explicit tool names declared in metadata yet. Check project README on main listing page.

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

Figwright Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "awdr74100-figwright": {
      "command": "npx",
      "args": [
        "-y",
        "skills"
      ],
      "env": {
        "FIGMA_PLUGIN_PORT": "YOUR_FIGMA_PLUGIN_PORT_HERE",
        "FIGMA_PLUGIN_HOST": "YOUR_FIGMA_PLUGIN_HOST_HERE"
      }
    }
  }
}

NVIDIA Elements Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "nvidia-elements": {
      "url": "https://NVIDIA.github.io/elements/"
    }
  }
}

Frequently Asked Questions

Figwright is categorized under Architecture & Design and uses a local stdio subprocess. In contrast, NVIDIA Elements belongs to Architecture & Design using remote streaming HTTP/SSE transport. Select Figwright when you need capabilities focused on architecture & design and NVIDIA Elements when you require tools for architecture & design.

More alternatives to Figwright More alternatives to NVIDIA Elements Architecture & Design category hub