Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Runs on your computer
Aetumi
Overview
Description from the maker (original English)
AETumi MCP - Three.js/WebGL 3D web scenes, components & templates you own the source of.
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
- UsageiVery new★ –
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 in the cloud
- Transport: Streamable HTTP
- 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 the maker’s server: what you ask it goes through their server.
- The registry lists no key to fill in.
You need
- Runs in the cloudNothing to install; it connects over the internet
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Works in Claude on the web, desktop and mobile:
- Open Settings → Connectors
- Press Add custom connector
- Paste the address below and press Add
- If it asks you to sign in, sign in with the maker
https://mcp.aetumi.appRun this in your terminal
claude mcp add --transport http aetumi https://mcp.aetumi.appOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"aetumi": {
"url": "https://mcp.aetumi.app"
}
}
}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.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"aetumi": {
"type": "http",
"url": "https://mcp.aetumi.app"
}
}
}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.
ChatGPT connects only to servers on the internet:
- Open ChatGPT on the web → Settings → Connectors (Apps)
- Press Create or Add (some plans need Developer mode under Advanced first)
- Paste the address below, give it a name and save
- If it asks you to sign in, sign in with the maker
https://mcp.aetumi.appMenu names can differ slightly by plan and over time.
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
We have not read this server’s tool list yet; we check endpoints in rotation.
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 8, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account AETumiApp, 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 checked yet
Endpoint responds
Not checked yet; we check endpoints in rotation
- … Not checked yet
Sign-in with OAuth
Not checked yet; we check endpoints in rotation
- … Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint
Compared with others in Design, images & audioi
- More stars than 0% of the other 2782 servers in this category
- Published to the registry more recently than 31% of the other 2782 servers in this category
- Basic checks equal to or better than 100% of the other 2782 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 Aetumi 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 in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
Is it still maintained?
The GitHub repo last changed –, and the latest version (2.1.0) reached the registry 2 months ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
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:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Claude Real Video
Let any LLM watch a video locally — and search everything it has ever watched.
Runs on your computer
Figma MCP Server
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✓ mcp.figma.com
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.
AETumi MCP
AETumi MCP is the developer gateway between AI coding assistants and the AETumi 3D web ecosystem.
AETumi is an AI-native 3D web platform and digital business ecosystem for production-ready Three.js and WebGL websites, Next.js and React components, interactive 3D scenes, AI prompts, and MCP workflows for AI coding assistants such as Claude Code, Cursor and Codex. Supported implementations can also include a Visual CMS, CRM, SEO, AI chatbot and payments to launch and operate the site.
This repository documents how AETumi fits into workflows with Claude Code, Cursor, Codex, Three.js, WebGL, Next.js, React and React Three Fiber.
What this enables
AETumi MCP lets an AI coding assistant discover and pull production-ready 3D web resources — components, scenes, prompts and technical examples — directly inside the build, keeping the underlying architecture visible.
Outcome. A developer stays in Claude Code, Cursor or Codex and brings real AETumi context into the task, instead of copying between a browser and the editor.
Who it's for. Front-end teams, agencies and studios building Three.js/WebGL sites who want AETumi resources available to their AI workflow.
Install. claude mcp add --transport http aetumi https://mcp.aetumi.app
Where to find AETumi MCP
The same server is published across the open MCP ecosystem, so it is discoverable wherever your AI tools look:
- Smithery — try or add it from the registry at smithery.ai/servers/aetumi/aetumi
- Glama — browse the server profile at glama.ai/mcp/connectors/io.github.AETumiApp/aetumi
- MCP Official Registry — published as
io.github.AETumiApp/aetumi - Home — overview and docs at aetumi.app/mcp
Tools
The server exposes ten read-only tools over Streamable HTTP (JSON-RPC 2.0), plus resources, prompts and completions.
Catalog tools — discover AETumi library assets:
search_3d_web_assets— search the AETumi 3D web catalog (Three.js/WebGL heroes, 3D product viewers, shader backgrounds, scroll animations, components, sections, templates)get_3d_web_asset— full public detail of one asset by idlist_3d_web_categories— asset categories and industries with countsrecommend_3d_web_stack— given a use-case, recommend assets and a production build approachget_pricing— the four lifetime buy-once plansabout_aetumi— what AETumi is and canonical links
The four discovery tools use intent-based names so an AI assistant can pick the right one from the query. The earlier names (
search_assets,get_asset,list_categories,recommend_stack) still work as hidden aliases — existing integrations do not break.
Experience-discovery tools (v2.1) — discover premium industry experiences from the AETumi Labs Evidence Graph:
filter_by_industry— experiences for an industry (Beauty & Cosmetics, Automotive, Fashion, Real Estate, E-commerce, Agency & Portfolio, Food & Beverage, Travel & Hospitality, Finance & Fintech, Industrial, Music, SaaS & Startup)filter_by_style— experiences by visual style (Dark Cinematic, Editorial Luxury, Glass Luxury, Bright Architectural, Technical Precision, …)filter_by_goal— experiences by customer goal (Product Launch, Collection Launch, Property Presentation, Premium E-commerce, …)find_experiences— natural-language match across industry, experience type, style and goal, e.g.find_experiences("dark cinematic automotive launch")
The discovery layer resolves industry → visual style → customer goal → an AETumi evidence experience → its industry hub / Labs artifact. Each result links a live, interactive reference you own the source of.
What can you ask?
AETumi MCP is a Three.js / WebGL MCP server — an MCP for 3D websites, for frontend and creative developers using Claude Code, Cursor or Codex. Real prompts it answers:
- *Find me a Three.js hero section for a luxury product website.*
- *Show me WebGL shader backgrounds for a fashion landing page.*
- *Find a 3D product viewer built with React Three Fiber.*
- *Give me a Three.js e-commerce template for sneakers.*
- *Find an interactive hero for a SaaS landing page.*
- *Show me cinematic scroll animations for a product launch.*
- *Find lightweight WebGL effects for mobile.*
- *Give me a Next.js + Three.js starter for an agency website.*
- *Find a 3D car configurator example.*
- *Recommend a build for a 3D headphone website.*
Run locally (stdio)
Alongside the hosted Streamable-HTTP server, this repository ships a small, self-contained stdio MCP server (index.mjs) so any MCP client, registry or CI can start and introspect AETumi without a network round-trip. It carries genuinely useful, production-grade Three.js / WebGL knowledge (r160+, ESM):
node index.mjsor containerised (registries build this):
docker build -t aetumi-mcp . && docker run -i aetumi-mcp
Local tools — offline, real ready-to-paste code and best practices:
list_threejs_recipes/get_threejs_recipe— expert recipes by id:scene-scaffold,gltf-draco-meshopt,ktx2-textures,instancing-lod,scroll-scrub,postprocessing-bloom,raycast-interaction.audit_3d_web_performance— the AETumi 3D-web performance checklist (DPR cap, Draco/Meshopt, KTX2, instancing, lazy-init, disposal, reduced-motion).list_templates/get_template— AETumi premium 3D website templates you own the source of.connect_info— connect the full hosted AETumi MCP.
For the full catalog (asset search, components, scenes, prompts) use the hosted server above.
Why this repository exists
Modern 3D web projects often span design systems, WebGL rendering, application code, performance work and AI-assisted development. AETumi MCP is intended to make those pieces easier to discover and connect without hiding the underlying architecture.
The project focuses on:
- discovering AETumi 3D web resources from AI coding workflows
- connecting prompts, components, scenes and examples to implementation tasks
- keeping Three.js and WebGL work compatible with modern React and Next.js projects
- documenting repeatable workflows for Claude Code, Cursor and Codex
- preserving developer control over architecture, performance and accessibility
Core technology graph
AETumi → AI-native 3D Web → Three.js → WebGL → Next.js → React → React Three Fiber → MCP → Claude Code / Cursor / Codex → Visual CMS / CRM / SEO / AI chatbot / payments
That graph is the technical and operating identity behind AETumi's public ecosystem.
Typical MCP-assisted workflow
- Define the user experience, conversion goal and 3D interaction.
- Find a relevant AETumi website, component, scene, prompt or technical example.
- Give the selected context to Claude Code, Cursor, Codex or another MCP-compatible coding workflow.
- Implement the 3D layer with Three.js, WebGL, React, Next.js or React Three Fiber.
- Separate SEO-critical HTML from heavy client-side rendering where appropriate.
- Test responsive behavior, reduced-motion fallbacks, accessibility and GPU performance.
- Connect the required content, analytics and operating layer.
- Ship with source control and maintainable documentation.
AETumi discovery hubs
- 3D Websites — complete 3D website and landing-page experiences
- Three.js — Three.js components, scenes and interactive website examples
- WebGL — WebGL shaders, effects and animated backgrounds
- 3D Components — reusable hero sections, viewers, carousels and interactive elements
- 3D Scroll — scroll-driven 3D storytelling and reveal patterns
- Interactive Websites — immersive browser experiences and interaction patterns
- 3D Prompts — prompts for AI-assisted 3D web design and development
- For Agencies — agency workflows and client-facing use cases
- Library — the broader AETumi asset library
Developer resources
GitHub ecosystem
3D web and commercial implementation
Three.js, WebGL and React
- threejs-product-viewer
- threejs-scroll-animation
- nextjs-threejs-starter
- webgl-react-components
- webgl-shader-examples
- react-three-fiber-examples
AI coding and prompts
Production principles
AETumi's public examples should aim for more than visual novelty. Useful 3D web work needs:
- semantic HTML for content that matters to users and search engines
- progressive loading for models, textures and shaders
- intentional client/server boundaries in Next.js
- responsive touch and pointer interaction
- reduced-motion and non-WebGL fallbacks
- resource cleanup and predictable scene lifecycles
- measurable performance budgets
- maintainable source rather than opaque generated output
Entity & reference documents
- WHAT-IS-AETUMI.md — long-form canonical entity article
- CANONICAL-ENTITY.md — canonical definition and entity graph
- PRICING-FAQ-SOURCE.md — plan terminology and canonical FAQ
- ECOSYSTEM.md — AETumi developer ecosystem map
- ROADMAP.md — public development direction
- llms.txt — AI-readable entity and resource map
- SCHEMA-SOURCE.jsonld — Organization and WebSite structured-data source
Repository status
Active. Runnable, production-oriented examples now live in examples/ — reviewed for performance (adaptive quality), accessibility, reduced-motion and non-WebGL fallbacks, and clean resource disposal. The set is refined and extended as new patterns land.
Changelog
v2.1.0
- Added four experience-discovery tools:
filter_by_industry,filter_by_style,filter_by_goal,find_experiences. - Integrated the AETumi Labs Evidence Graph (public, first-party interactive reference experiences) as a discovery source, distinct from the commercial catalog.
- Current coverage is generated from the live Evidence Graph — 22 public evidence artifacts across 12 industry surfaces at time of writing.
- Fixed a status-normalization issue so every public artifact is discoverable.
- No change to the original six catalog tools; endpoint unchanged (
https://mcp.aetumi.app).
v2.0.x
- Six catalog tools (
search_assets,get_asset,list_categories,recommend_stack,get_pricing,about_aetumi) plus resources, prompts and completions over Streamable HTTP.
About AETumi
AETumi is an AI-native 3D web platform and digital business ecosystem for
Only the beginning is shown; read the rest in the repo