Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
作者提供的说明(英文原文)
Compile, lint, simulate (60 Hz), and render 3D scenes from Three.js to GLB, USDZ, Android & iOS.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"three-live": {
"command": "npx",
"args": [
"-y",
"three-live",
"mcp"
]
}
}
}在终端中运行这条命令
claude mcp add three-live -- npx -y three-live mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"three-live": {
"command": "npx",
"args": [
"-y",
"three-live",
"mcp"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"three-live": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"three-live",
"mcp"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
注册名称已通过 GitHub 账户 google 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(1.3.1)于今天进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
同一分类中有:Figma Context MCP, Claude Real Video, Figma MCP Server
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Let any LLM watch a video locally — and search everything it has ever watched.
The Figma MCP server brings Figma design context directly into your AI workflow.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Disclaimer: This is not an officially supported Google product.
AI-First Native 3D, CAD & Spatial Computing: On-device JIT compiler turning live, AI-generated Three.js into native Android (Google Filament & Jetpack XR), iOS & visionOS (Apple RealityKit), and WebXR.
[⚡ Quickstarts (Android • iOS • CLI • Web)](#quickstarts) • [📦 Install (JitPack • SwiftPM • Cargo • npm)](#install-packages-and-bundles) • [▶ Live 3D Studio](https://google.github.io/three-live/three/) • [🥽 Live Spatial XR Studio](https://google.github.io/three-live/xr/) • [📚 Docs](#documentation-guide)
LLMs and developers excel at writing concise Three.js code—not hundreds of lines of platform-specific native 3D, shader, and AR boilerplate. Three-Live compiles standard Three.js (THREE.Mesh, THREE.CSG, userData.xr, KHR_interactivity) on-device in a sandboxed Rust VM and renders natively in Google Filament and Jetpack XR SceneCore on Android, Apple RealityKit and Quick Look on iOS and visionOS, headless 4-up PNG contact sheets (`three-live-cli`) for AI coding agents, and WebGL2 / WebXR on the Web.
Compile standard Three.js code over zero-copy JNI and drive native Google Filament rendering, 60 Hz physics, and Jetpack XR SceneCore spatial entities:
import com.google.threelive.FilamentHelper
import com.google.threelive.XRLiveRuntimeSession import com.google.threelive.XRLiveSceneCoreHelper
val threeJsCode = """ const core = new THREE.Mesh( new THREE.IcosahedronGeometry(0.55, 3), new THREE.MeshStandardMaterial({ color: 0x38bdf8, metalness: 0.85, roughness: 0.15 }) ); core.userData.xr = { grab: '2-hand', orbit: { speed: -0.4 } }; scene.add(core); """.trimIndent()
// Compile Three.js to a zero-copy GLB ByteBuffer and load directly into Google Filament val holder = FilamentHelper.loadModelZeroCopy(threeJsCode) { buffer -> assetLoader.createAssetFromBinary(buffer) }
// Step live KHR_interactivity graphs, 60 Hz rigid-body physics, and spatial traits per frame val runtime = XRLiveRuntimeSession.fromGlb(holder.byteBuffer) runtime.step(dtSeconds = 1.0 / 60.0)
// Or attach interactive spatial traits (grab, scale, billboard, anchor) in Android XR SceneCore XRLiveSceneCoreHelper.attachTraitsFromGlb(xrSession, entity, holder.byteBuffer)
Compile the exact same Three.js code into Apple RealityKit (ARView / RealityView) or .usdz:
import ThreeLiveCompiler
import RealityKit
@MainActor func loadSpatialScene(from threeJsCode: String, into arView: ARView) async throws -> XRLiveRealityKitSession? { let glb = try ThreeCompiler.compileToGLB(script: threeJsCode) let entity = try await RealityKitHelper.loadEntity(fromGLB: glb) XRLiveRealityKit.installTraits(on: entity, in: arView)
// Bind live KHR_interactivity, 60 Hz physics, and spatial traits to RealityKit SceneEvents.Update let session = XRLiveRealityKitSession(glbData: glb, root: entity) session?.installInputTargets() session?.start() return session }
three-live-cli & MCP server)Render a 4-up orthographic/camera contact sheet (zero GPU required), run the spatial linter for JSON frustum/overlap telemetry, compile scene.js to .glb / .usdz, or attach three-live-cli mcp as a zero-dependency Model Context Protocol (MCP) stdio server (three_live_validate, three_live_render, three_live_convert, three_live_sim) in Claude Code, Cursor, Gemini CLI, or Windsurf:
$ npx three-live-cli render scene.js --view=quad --grid --annotations -o contact_sheet.png
$ npx three-live-cli validate scene.js --json $ npx three-live-cli convert scene.js -o model.usdz
$ claude mcp add three-live -- npx -y -p three-live three-live-cli mcp
and )On the web, (< 30 KB gz viewer, < 70 KB gz with the live Three.js compiler) and (< 82 KB gz) render the same Three.js scenes in WebGL2 and 6DoF WebXR with 1-tap mobile AR handoff:
// Standard Three.js scene (runs identically in Android, iOS, CLI, and Web)
const mesh = new THREE.Mesh( new THREE.TorusKnotGeometry(0.4, 0.14, 64, 16), new THREE.MeshStandardMaterial({ color: 0x38bdf8, metalness: 0.8, roughness: 0.15 }) ); mesh.userData.xr = { grab: '1-hand', billboard: 'capsule' }; scene.add(mesh);
maven("https://jitpack.io") to settings.gradle.kts, then add:kotlin dependencies { implementation("com.github.google.three-live:compiler:v1.3.1") // Optional adapters: :filament, :firebase-ai, :detect-mlkit, :hands-androidxr, :hands-mediapipe }
settings.gradle.kts and add implementation("com.google.threelive:compiler:1.3.1") (plus optional :filament, :firebase-ai, :detect-mlkit, :hands-androidxr, :hands-mediapipe).three-live-compiler-release.aar (includes arm64-v8a, armeabi-v7a, and x86_64 JNI .so libraries) and optional adapter AARs (three-live-filament-release.aar, etc.) from [GitHub Releases](https://github.com/google/three-live/releases) into app/libs/ and add implementation(files("libs/three-live-compiler-release.aar"))../gradlew :mobile:android:publishReleasePublicationToMavenLocal and add implementation("com.google.threelive:compiler:1.3.1").make android (or bash scripts/build_android_aar.sh).swift .package(url: "https://github.com/google/three-live.git", from: "1.0.0")
Swift Package Manager automatically resolves the prebuilt, checksum-pinned ThreeLiveCompiler.xcframework.zip archive from GitHub Releases—no local Rust or Node.js toolchain is required.
`bash cargo add three-live-compiler
cargo install three-live-compiler --bin three-live-cli `
arm64 and x86_64), Linux (x86_64 and aarch64), and Windows (x86_64.exe) from [GitHub Releases](https://github.com/google/three-live/releases).make rust (npm run build && cargo build --manifest-path compiler/Cargo.toml --release --bin three-live-cli).bash npm install three-live xr-live
https://cdn.jsdelivr.net/npm/three-live/dist/three-live.min.js or https://google.github.io/three-live/dist/three-live.min.js.three-live-web-dist.zip from [GitHub Releases](https://github.com/google/three-live/releases).git clone https://github.com/google/three-live.git && cd three-live && npm install && npm run build.In practice, browser WebXR (navigator.xr) only covers part of the device landscape:
WebView or WKWebView in a native Android or iOS app, and can't enter AR in Safari on iPhone or iPad..glb or .usdz file to the OS previewer works for viewing a model, but drops Three.js animate() loops, 60 Hz physics, custom state, and interactive plugins.HomeSpace shared space. On visionOS, browser WebXR runs in an isolated fullscreen VR session without camera passthrough or SwiftUI Shared Space integration.Three-Live solves this by compiling the same Three.js code on-device and running it natively on each platform's own engine:
| Target environment | What happens with browser WebXR or static AR handoff | What you can do with Three-Live and XR-Live |
|---|---|---|
| Android phones and tablets (native Compose or View app) | android.webkit.WebView has no WebXR; Scene Viewer only shows static .glb files | Compile Three.js over JNI and render natively in Google Filament and ARCore (XRLiveRuntimeSession) inside your app UI. |
| Android XR and Apple Vision Pro headsets | Browser WebXR is isolated in a fullscreen WebGL session | Attach native Jetpack XR SceneCore (GltfEntity, MovableComponent, Anchor) or RealityKit entities that live in the system shared space alongside native panels. |
| iPhone and iPad (native SwiftUI app) | WKWebView has no WebXR; AR Quick Look only shows static .usdz files | Run live Three.js scenes, animate() loops, KHR_interactivity, and spatial plugins natively in ARKit and RealityKit (ARView and RealityView). |
| Mobile and headset web browsers | Standard WebXR works on Android Chrome and headsets; iOS Safari has no WebXR | Run 6DoF WebXR where supported, with automatic Stereo SBS, gyroscope, and in-memory .usdz and .glb AR handoff on iOS Safari. |
and The following table compares the two runtime tiers across Android, iOS, and Web:
| Capability | three-live (Core 3D, CAD & Ani
只显示了开头部分;其余内容请在仓库中阅读