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DimensionAutomotive 3DAutomotive 3D/AR visualization assistant built on SceneView SDK.NPM Sentinel MCP ServerAI-powered NPM package analysis MCP server
FMRS36 / 100 · D79 / 100 · B
Reliability5 / 2012 / 20
Security and permissions6 / 2016 / 20
Maintenance12 / 2018 / 20
Documentation5 / 2018 / 20
Setup experience8 / 2015 / 20
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
  • Developers auditing NPM dependencies within AI workflows
  • Teams performing supply chain security assessments
  • Users of Claude Desktop, Cursor, or VS Code
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)
  • Projects outside the NPM ecosystem (e.g., pure Python/Go)
  • Environments without network access to deps.dev, OSV.dev, and the npm registry
  • Scenarios requiring maintenance by an official upstream vendor
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
  • Network access to the NPM registry and external services (deps.dev, OSV.dev, OpenSSF, npms.io, GitHub)
  • Read access to workspace lockfiles (pnpm-lock.yaml, package-lock., yarn.lock) for cache invalidation
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
  • Third-party READMEs and changelogs are untrusted external content; they are wrapped in tags with _meta flags but should still be handled cautiously
  • Depends on availability and accuracy of external services
  • Batch requests are capped at 25 packages to prevent registry enumeration; larger sets require batching
  • Third-party open source project, not officially maintained by NPM or Anthropic
Supported clientsClaude Desktop, VS Code, Cursor
Tools019