Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Beschreibung vom Entwickler (englisches Original)
Put 3D models in someone's real room: generate, arrange, and hand back one AR link.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
AR_STUDIO_PAGE_URL, AR_STUDIO_ASSETS, AR_STUDIO_MCP_ENDPOINT, AR_STUDIO_ORIGINDu brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"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"
}
}
}
}Führe das in deinem Terminal aus
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-mcpTrag die leeren Werte ein, bevor du ihn startest.
In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"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"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"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"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
AR_STUDIO_PAGE_URL envAR_STUDIO_ASSETS envAR_STUDIO_MCP_ENDPOINT envAR_STUDIO_ORIGIN envDiese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 6. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto nirholas bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.3.0) kam vor 3 Monaten in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Node.js auf deinem Computer.
In derselben Kategorie: Figma Context MCP, Claude Real Video, Figma MCP Server
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
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.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
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.
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