Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
作者による説明(英語の原文)
Put 3D models in someone's real room: generate, arrange, and hand back one AR link.
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
AR_STUDIO_PAGE_URL, AR_STUDIO_ASSETS, AR_STUDIO_MCP_ENDPOINT, AR_STUDIO_ORIGIN必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"mcpServers": {
"3d-ar-studio": {
"command": "npx",
"args": [
"-y",
"3d-ar-studio-mcp"
],
"env": {
"AR_STUDIO_PAGE_URL": "your-value",
"AR_STUDIO_ASSETS": "your-value",
"AR_STUDIO_MCP_ENDPOINT": "your-value",
"AR_STUDIO_ORIGIN": "your-value"
}
}
}
}ターミナルでこれを実行します
claude mcp add 3d-ar-studio --env AR_STUDIO_PAGE_URL=your-value --env AR_STUDIO_ASSETS=your-value --env AR_STUDIO_MCP_ENDPOINT=your-value --env AR_STUDIO_ORIGIN=your-value -- npx -y 3d-ar-studio-mcp動かす前に、空欄の値を入力してください。
プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"3d-ar-studio": {
"command": "npx",
"args": [
"-y",
"3d-ar-studio-mcp"
],
"env": {
"AR_STUDIO_PAGE_URL": "your-value",
"AR_STUDIO_ASSETS": "your-value",
"AR_STUDIO_MCP_ENDPOINT": "your-value",
"AR_STUDIO_ORIGIN": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"3d-ar-studio": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"3d-ar-studio-mcp"
],
"env": {
"AR_STUDIO_PAGE_URL": "your-value",
"AR_STUDIO_ASSETS": "your-value",
"AR_STUDIO_MCP_ENDPOINT": "your-value",
"AR_STUDIO_ORIGIN": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
AR_STUDIO_PAGE_URL envAR_STUDIO_ASSETS envAR_STUDIO_MCP_ENDPOINT envAR_STUDIO_ORIGIN envこの設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月6日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント nirholas で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は–、最新バージョン(0.3.0)がレジストリに届いたのは3 か月前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにNode.jsも必要です。
同じカテゴリには:Figma Context MCP, Claude Real Video, Figma MCP Server
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日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.
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
Drop a full augmented-reality studio into any web page.
Place as many 3D models as you like in your real room through the camera, describe a new one and watch it appear, arrange everything by hand, then share the whole scene as a link, a QR code, or a live room someone else can build in with you.
<script type="module" src="https://unpkg.com/3d-ar-studio/dist/ar-studio.min.js"></script>
That is a working AR studio. No build step, no API key, no account. It comes wired to a free library of a few hundred public-domain models and a free, keyless text-to-3D lane; point it at your own catalogue with one option when you are ready.
Every web-AR drop-in places exactly one model and then hands off to a native viewer, which ends the session. This one keeps the whole scene in your page:
XRAnchor per placed model, real-world light estimation, and depth occlusion so models hide behind your furniture.USDZExporter, no server involved) and, because it is exported from the copy already standing in your scene, it arrives at the size you pinched it to and in the pose it was in, stood on the floor rather than hanging at the height it happened to be modelled at. Android without WebXR gets Scene Viewer. Desktop gets a grid preview and a QR hand-off to a phone.The rendering ladder, anchor lifecycle, retargeting pipeline, scene format and shared-room protocol are extracted from the AR surfaces running in production on three.ws, and generalized so they work on your site with your models.
npm i 3d-ar-studio three
three is a peer dependency, so you keep one copy of it and pick the version. The CDN bundle (dist/ar-studio.min.js) has three.js inside it and needs nothing else.
import { createArStudio } from '3d-ar-studio'
const studio = createArStudio('#stage', { branding: { title: 'Acme AR', accent: '#00b894' }, })
studio.on('add', ({ placement }) => console.log('placed', placement.title))
The studio fills its host element absolutely, so give the host a height (any positioned box with a real height works; a with no height gets a sensible 70vh default rather than rendering invisibly).
npx 3d-ar-studio create my-ar-site # a folder you can publish as-is
cd my-ar-site npx 3d-ar-studio dev # look at it locally npx 3d-ar-studio deploy # push it and turn on GitHub Pages
deploy prints every git and gh command before it runs it. It needs git and the GitHub CLI; without them it tells you the three manual steps instead of failing silently.
Templates: static (one HTML file, no build), vite, react.
Both 3d-ar-studio and ar-studio run the CLI. The MCP server is a separate binary in its own package, so npx 3d-ar-studio-mcp resolves cleanly: see MCP server.
The tray is filled from three.ws by default: a few hundred public-domain (CC0) props, free for commercial use, served with open CORS. Swap in your own with the assets option.
A JSON file anywhere. Five common shapes are read without reshaping:
createArStudio(el, { assets: 'https://cdn.acme.com/models.json' })
// Any of these work:
[ { "url": "https://cdn.acme.com/chair.glb", "name": "Aero chair" } ] { "items": [ … ] } { "objects": [ … ] } // three.ws object library { "creations": [ … ] } // three.ws forge gallery { "models": [ … ] }
Per entry, the model URL is read from the first present of src, url, glb, glb_url, glbUrl, file or model; the label from title, label, name or prompt; and the thumbnail from poster, thumb, thumbnail, image or preview_image_url. Anything that is not an https (or site-relative) URL is dropped rather than handed to the loader.
A list you hold in code:
import { staticSource } from '3d-ar-studio/sources'
createArStudio(el, { assets: staticSource({ label: 'Our furniture', items: [{ src: 'https://cdn.acme.com/chair.glb', title: 'Aero chair', poster: '…' }], }), })
Several tabs at once, in the order you want them:
createArStudio(el, { assets: ['recent', myCatalogue, 'objects', 'link'] })
Built-in keys: 'three.ws' (the default set), 'recent', 'objects', 'community', 'link'.
Anything else. A source is an object with a list():
createArStudio(el, {
assets: { id: 'search', label: 'Search', searchable: true, async list() { const rows = await fetch('/api/models').then((r) => r.json()) return rows.map((m) => ({ src: m.glb, title: m.name, poster: m.thumb })) }, }, })
Throwing from list() is fine: the tray renders a designed error state with a Retry button.
Your users can retarget it too, without touching your code: ?assets=https://…/manifest.json on the page URL. Only https URLs are accepted, and every model source is re-validated before it reaches the loader, so a hostile link can add a catalogue but can never smuggle a javascript: or data: model into the scene. Set allowUrlOverride: false to switch that off.
Models are loaded by the browser, so the host serving your .glb files has to allow cross-origin requests (access-control-allow-origin). If a model fails to load, that is almost always why, and the studio says so in the status line rather than failing silently.
| Option | Default | What it does |
|---|---|---|
assets | 'three.ws' | Where models come from: a preset key, a manifest URL, a source object, or an array of them. |
generate | enabled | { enabled, endpoint, kind, tier, timeoutMs, pollMs }. endpoint is any MCP server exposing a compatible generate tool. |
rooms | enabled | { enabled, server }. Point server at your own Colyseus deployment to host shared rooms yourself. |
animations | three.ws idle clip | { enabled, manifestUrl, clip }. The clip retargeted onto humanoid models that ship no animation. |
lighting | 'studio' HDRI | { preset, urls }. preset: null uses procedural lighting only and downloads no HDRI. |
branding | : | { title, accent, backHref, backLabel }. |
shareBaseUrl | this page | Where share links and QR codes point. |
origin | https://three.ws | Origin for the hosted "View in your space" launcher and viewer links. |
persistKey | 'ar-studio:scene:v1' | localStorage key for the saved scene. Change it to run two studios on one origin. |
persist | true | Restore the last scene on load. |
maxPlacements | 20 | Cap on simultaneous models. Keeps low-end phones interactive. |
fullscreen | auto | Render as a fixed full-screen layer. Defaults to true only when mounted on document.body. |
allowUrlOverride | true | Honour ?assets=, ?src=, ?room= and ?forge= on the hosting page's URL. |
onEvent | null | Called with (event, detail) for every notable action. Wire it to your analytics. |
| Parameter | Effect |
|---|---|
?assets= | Swap the catalogue. |
?src= &title= | Load models into the scene. Repeatable. |
#s= | Reopen a full arrangement, transforms included. Written by shareUrl(). |
?room= | Join a shared room. |
?forge= | Start a generation on load. |
await studio.addModel({ src, title }) // place a model
studio.clear() // remove everything; returns what was there studio.getScene() // [{ src, title, x, z, yaw, scale }] await studio.setScene(items) // replace the arrangement studio.shareUrl() // a link that reopens it exactly await studio.generate('a brass desk lamp') // text to 3D, into the room studio.viewInYourSpace(src, title) // open the hosted launch page for one model await studio.startCamera() // needs a user gesture on iOS await studio.enterAR() // best AR path for this device studio.openArSheet() // the "Place in your space" hand-off sheet studio.closeArSheet() await studio.placeInYourSpace() // straight to the native viewer, no sheet await studio.toggleImmersive() // enter or leave WebXR specifically await studio.openRoom() // returns the room code studio.destroy() // releases camera, socket and GPU context
studio.on(name, fn) returns an unsubscribe function. The same events also fire as ar-studio: DOM events on the mounted element.
| Event | Detail |
|---|---|
add | { placement, remote } |
remove | { src, title } |
select | { placement } (null when deselected) |
clear | { items } |
generate | { model } |
generate-error | { error, prompt } |
camera | { active } |
xr | { active } |
native-ar | { src, title, viewer } where viewer is quicklook, sceneviewer or none |
native-ar-error | { error, src } |
ar-sheet | { open } when the hand-off sheet opens or closes |
room | { status, code } |
share | { url } |
<ar-studio
assets="https://cdn.acme.com/models.json" title="Acme AR" accent="#00b894" generate="true" rooms="true"
element.studio is the live instance. Importing 3d-ar-studio/auto (what the CDN bundle does) registers the element for you.
冒頭だけを表示しています。続きはリポジトリで読めます