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Automotive 3D

Official
Automotive 3D/AR visualization assistant built on SceneView SDK.
GitHub source repository ↗
★ 1.3k Stars Category · Dev Tools Very popular Source revision d353366c7f4a
36FMRS · D
Reliability
5/20
Security and permissions
6/20
Maintenance
12/20
Documentation
5/20
Setup experience
8/20

This is the official automotive-domain MCP server from the SceneView repository, built on the SceneView SDK and targeting car configurators, HUDs, 3D dashboards, AR showrooms, parts catalogs, and EV charging stations. It is distributed as the npm package automotive-3d-mcp (v1.1.0) over stdio; the parent README reports 9 tools, but their names are not present in the supplied server manifest. It is best used as an AI coding assistant for automotive 3D/AR prototypes rather than as a runtime engine. Consult the repo's mcp documentation and server.json before relying on it in production.

Read the FMRS scoring method →

io.github.sceneview/automotive-3d is a domain-specific MCP server from the SceneView repository for automotive 3D visualization: car configurators, HUD overlays, 3D dashboards, AR showrooms, parts catalogs, and EV charging stations. It is distributed as the npm package automotive-3d-mcp (v1.1.0) and communicates over stdio. The parent README states that this server provides 9 tools, but individual tool names are not listed in the provided manifest.

Tools

The tool list has not been reviewed yet.

Setup

Register a stdio MCP server command using npx automotive-3d-mcp; the npm package is automotive-3d-mcp version 1.1.0. The supplied material does not include a dedicated JSON client-config example for this server; the Claude config example in the README belongs to the repo's other general-purpose MCP server (sceneview-mcp) and should not be treated as evidence for this server's installation.

Fit and risk

Best for

  • Developers building automotive 3D/AR apps with the SceneView SDK
  • Teams that want AI assistance to quickly prototype car configurators, HUDs, and dashboards
  • Automotive visualization projects on Android (Jetpack Compose), iOS (SwiftUI), or Web

Not for

  • General-purpose 3D/AR work outside automotive (separate healthcare, gaming, and interior-design servers exist)
  • Directly controlling vehicle hardware or safety-critical systems
  • Use as a runtime rendering engine—this is a code-assistance MCP server, not a renderer
  • Strict production workflows that require a documented tool list and verified client compatibility (the provided material does not include those details)

Required permissions

  • No permissions are documented for this server in the supplied material
  • It runs locally as a stdio process via npx, so Node.js and npm are required
  • First run requires network access to the npm registry to fetch the automotive-3d-mcp package
  • If the AI client writes generated code into a project, it will typically need file-system access per the client's configuration

Risks and side effects

  • AI-generated automotive 3D/AR code may fail to compile or may not match SceneView APIs; human review and testing are required
  • Running an npm package via npx executes package code locally; verify the package name, version, and source
  • Automotive work can be safety-related, so generated output must never be used directly for vehicle control or safety-critical decisions
  • The setup depends on the npm supply chain and network environment; failures may come from network issues, Node versions, or client configuration

Troubleshooting

  1. Run `npx automotive-3d-mcp` directly in a terminal to confirm the package starts
  2. Check that Node.js and npm are installed and available on PATH
  3. Ensure the MCP client registers the command as stdio rather than incorrectly pointing to an HTTP URL
  4. Inspect MCP client logs to verify the registered command and the automotive-3d-mcp package name
  5. Confirm network access to the npm registry and the ability to fetch [email protected]
  6. If generated code contains errors, cross-check the target platform's SceneView version and API documentation

Use cases

Generating code for car configurators in 3D/AR
Building HUD overlays and 3D dashboard visualizations
Creating AR showroom experiences
Producing parts catalogs or exploded-view displays
Visualizing EV charging stations and related infrastructure

Supported clients

Supported clients have not been confirmed yet.