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PopNx MCPMCP servers for people who use AI · explained in plain words

SceneView MCP

by SceneViewversion 3.4.4i★ –iRuns on your computer
Registry nameio.github.SceneView/mcp

Install

Overview

Description from the maker (original English)

3D & AR SDK for Android, iOS, Web — API docs, samples, validation, and code generation.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Design, images & audio

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "sceneview": {
      "command": "npx",
      "args": [
        "-y",
        "sceneview-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add sceneview -- npx -y sceneview-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "sceneview": {
      "command": "npx",
      "args": [
        "-y",
        "sceneview-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "sceneview": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "sceneview-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account SceneView, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Design, images & audioi

  • More stars than 0% of the other 2180 servers in this category
  • Published to the registry more recently than 4% of the other 2180 servers in this category
  • Basic checks equal to or better than 100% of the other 2180 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is SceneView MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (3.4.4) reached the registry 8 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

Runs on your computer★ 16,165MITUpdated 5 months ago
Install

Claude Real Video

by HUANGCHIHHUNGLeo

Let any LLM watch a video locally — and search everything it has ever watched.

Runs on your computer★ 2,284MITUpdated 2 months ago
Install

Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.

Runs in the cloud★ 2,152Updated 13 months ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

SceneView

The AI-first 3D & AR SDK for Jetpack Compose, SwiftUI and the web.

Declarative 3D and AR for app developers who want a model on screen, or in the room, without a game engine: Filament + ARCore on Android, RealityKit + ARKit on Apple, Filament.js + WebXR in the browser — with Flutter, React Native and Compose Multiplatform bridges on top. Open source, Apache 2.0.

AI-first means one thing here: an assistant that reads llms.txt or the MCP server writes SceneView code that works on the first try. When it doesn't, the API or the doc gets fixed.


Try it

The demo apps are built from samples/. Any demo opens straight from a link: https://sceneview.github.io/open?demo= . Start with Cosmos, the galaxy the catalogue opens on, or 3D Scan, a space scanned with ARCore and rebuilt in 3D.

A living room scanned in 3D Scan on a Pixel 9, then rebuilt as a model (sped up).

Help test the demos

Install the Android demo, record your screen while you use a demo, and tell us what breaks or confuses you: open an issue with the recording attached, or send it from the app (any demo, Settings, then Send feedback). Your first report unlocks SceneView Labs, early access to the experimental demos, straight away.


Quick start

One minimal, working example per platform. The full reference for each is in llms.txt.

Android
// build.gradle.kts

implementation("io.github.sceneview:sceneview:4.66.0")

The app module needs compileSdk = 37, minSdk 24 or higher, AGP 9.4.0+, Kotlin 2.4 and JVM target 21 for both Java and Kotlin: SceneView ships Java 21 bytecode with public inline functions. The quickstart requirements give the Gradle snippet and the reason for each.

@Composable

fun ModelScreen() { SceneView(modifier = Modifier.fillMaxSize()) { // orbit camera + default lighting rememberModelInstance(modelLoader, "models/helmet.glb")?.let { instance -> ModelNode(modelInstance = instance, scaleToUnits = 1.0f, autoAnimate = true) } } }

models/helmet.glb lives in src/main/assets/. rememberModelInstance returns null until the model is loaded, then recomposes. Never call modelLoader.createModel* from a background coroutine: Filament calls must run on the main thread, and rememberModelInstance handles that.

AR (Android)
// build.gradle.kts

implementation("io.github.sceneview:arsceneview:4.66.0") // includes the 3D module

@Composable

fun ARScreen() { var anchor by remember { mutableStateOf (null) }

ARSceneView( modifier = Modifier.fillMaxSize(), planeRenderer = true, onSessionUpdated = { _, frame -> if (anchor == null) { anchor = frame.getUpdatedPlanes() .firstOrNull { it.type == Plane.Type.HORIZONTAL_UPWARD_FACING } ?.let { it.createAnchorOrNull(it.centerPose) } } } ) { val helmet = rememberModelInstance(modelLoader, "models/helmet.glb") anchor?.let { a -> AnchorNode(anchor = a) { helmet?.let { ModelNode(modelInstance = it, scaleToUnits = 0.5f) } } } } }

Plane detected → anchor set → Compose recomposes → the model appears. AR state is just Kotlin state. For placement without a tap, grounded and gesture-ready, start from AutoPlacementScene (see llms.txt).

arsceneview already declares the CAMERA permission and marks ARCore as optional. An AR Optional app declares android.hardware.camera.ar and android.hardware.camera as ; an AR Required app overrides the ARCore value with tools:replace="android:value". Both snippets are in the AR manifest section.

iOS / macOS / visionOS (SwiftUI)

Swift Package Manager: https://github.com/sceneview/sceneview.git, from 4.63.0.

import SwiftUI

import SceneViewSwift

struct ModelScreen: View { @State private var model: ModelNode?

var body: some View { SceneView { root in if let model { root.addChild(model.entity) } } .contentID(model != nil) // re-run the builder once the model has loaded .environment(.studio) .cameraControls(.orbit) .task { model = try? await ModelNode.load("helmet.usdz") } } }

The content closure runs once unless its .contentID(_:) changes: without that line, a model that finishes loading after the scene appears is never added.

Web
<canvas id="viewer" style="width: 100%; height: 480px"></canvas>
Compose Multiplatform (Android · iOS · desktop)
// commonMain dependencies

implementation("io.github.sceneview:sceneview-compose:4.66.0")

SceneViewer(model = ModelSource.Asset("models/helmet.glb"), modifier = Modifier.fillMaxSize())

A viewer by design — load, orbit, light, tap; no AR. Scope and the one-time iOS setup: sceneview-compose/.

Flutter
// pubspec.yaml → flutter_sceneview: ^4.66.0

final controller = SceneViewController();

SceneView( controller: controller, onViewCreated: () => controller.loadModel( const ModelNode(modelPath: 'models/helmet.glb'), ), )

React Native
// npm install @sceneview-sdk/react-native

import { SceneView } from '@sceneview-sdk/react-native';

Flutter and React Native bridge a subset of the native API — see flutter/ and react-native/ for what is covered.

Your AI assistant
claude mcp add sceneview -- npx -y sceneview-mcp   # Claude Code

codex mcp add sceneview -- npx -y sceneview-mcp # Codex

Then ask: *"Add a 3D model viewer to my Compose screen."* Every other client is in Use with AI.


Runs on

Each row is a published package plus an app or page you can open today, backed by a real capture of it.

PlatformStatusInstallOpen itCapture
AndroidShipped · StableMaven CentralGoogle Play
iOSShipped · AlphaSwift PackageApp Store
WebShipped · Alphanpm sceneview-webLive web demo

*Shipped* means released and publicly reachable; the second word is the API maturity. The other platforms in the table below join this section once a capture backs them.


Platforms

PlatformRendererFrameworkStatus
AndroidFilamentJetpack ComposeStable
Android TVFilamentCompose TVAlpha
iOS / macOS / visionOSRealityKitSwiftUIAlpha
WebFilament.js (WebGL2 / WASM)JavaScript + Kotlin/JSAlpha
Compose MultiplatformFilament (Android, desktop) · RealityKit (iOS)sceneview-composeAlpha — viewer subset
Desktop (JVM)Filament, via filament-kmpCompose Desktop (sceneview-compose)Alpha
FlutterNative per platformPlatformViewAlpha
React NativeNative per platformFabricAlpha
AI assistants—llms.txt, MCP server, skillsStable

Install

PlatformCoordinate
Android 3Dio.github.sceneview:sceneview:4.66.0
Android ARio.github.sceneview:arsceneview:4.66.0
Compose Multiplatformio.github.sceneview:sceneview-compose:4.66.0
KMP core only (math, collision, physics)io.github.sceneview:sceneview-core:4.66.0

| Apple (SPM) | `https://github.com/sceneview/

Only the beginning is shown; read the rest in the repo

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