Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Runs on your computer
AIGUI
Overview
Description from the maker (original English)
Let coding agents draw charts, diagrams, 3D, molecules and animated topologies as PNGs or live pages
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↓ 75/wk · ★ –
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": {
"aigui": {
"command": "npx",
"args": [
"-y",
"@ai-gui/mcp"
]
}
}
}Run this in your terminal
claude mcp add aigui -- npx -y @ai-gui/mcpOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"aigui": {
"command": "npx",
"args": [
"-y",
"@ai-gui/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.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"aigui": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@ai-gui/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 10, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account liliang-cn, 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 2861 servers in this category
- Published to the registry more recently than 47% of the other 2861 servers in this category
- Basic checks equal to or better than 100% of the other 2861 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 AIGUI 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 (0.49.0) reached the registry 31 days 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:↓ 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.
@ai-gui/mcp
Let your coding agent draw. An MCP server — and the engine of the AIGUI plugin for Claude Code and Codex — that turns charts, diagrams, maths, 3D scenes, molecules, orbits, dashboards and step-by-step infrastructure topologies into PNGs the agent can check, or a live page in your browser.
Live demos · Source · All packages
Install
Claude Code — the plugin also brings the skills that tell the agent when a picture beats text:
/plugin marketplace add liliang-cn/aigui/plugin install aigui@aigui
Codex:
codex plugin marketplace add liliang-cn/aiguicodex plugin add aigui@aigui
Any MCP client — run aigui-mcp over stdio:
npm install -g @ai-gui/mcp@0.49.0claude mcp add aigui -- aigui-mcp
Requires Node.js 18.11+. The first drawing downloads a headless browser (about 100 MB, once); everything runs locally, with no account or API key.
What it draws
21 block types: ECharts charts (3D too), Mermaid, KaTeX, dashboards and data walls, 3D scenes, molecules from SMILES, orbits and collisions, topologies whose steps play, knowledge graphs, geometry, function plots, optics, mechanics, labelled figures, candlesticks, tables and more. Nine of them render straight to PNG; all of them draw in a page.
Tools
| Tool | What it does |
|---|---|
aigui_guide | Lists the blocks, or returns the exact syntax for the ones named — read before writing a block. |
aigui_render | Draws the blocks in a markdown string as PNGs, returned to the agent and saved to disk. |
aigui_open | Opens the whole answer as a live page: charts to hover, 3D to turn, topologies and walls that play. |
aigui_edit | Changes part of a page by find-and-replace, without sending the whole answer again. |
aigui_export | Saves a page as PNG, PDF, one self-contained HTML file, or a GIF / WebM of it playing. |
aigui_topology | Draws a system from its docker-compose file or Kubernetes manifests. |
aigui_feedback | Reads the comments the user left on a page's blocks. |
Why it can be trusted
- Numbers come from your files. Pass
data: {"sales": "/abs/path/sales.csv"}and write{"$data":"sales","column":"revenue"}in the chart — orpick,sum,count,max,min,avg. The figures are read from the file, never retyped by the model, and the result names the file behind each block. - Every drawing is checked. A headless browser looks for labels on top of each other, text cut off or under 9 px, poor contrast and crowded charts, and tells the agent to fix them before you see anything.
- Topologies from real config.
aigui_topologyreads what is actually deployed, not what the model remembers. - Local. Pictures go to
~/.cache/aigui/images, pages to~/.cache/aigui/pages, listed newest first inpages/index.html. A page loads nothing from the network.
Custom blocks
Add your own block type in three files — no build step, no fork:
npx @ai-gui/cli plugin new ticket # writes ~/.config/aigui/plugins/ticket/| File | What it is |
|---|---|
aigui.json | Name, fences, a one-line description, whether it may render to PNG |
plugin.js | A plain browser script registering an AIGuiPlugin: (globalThis.__aiguiPacks ??= {}).ticket = (theme, still) => [...]. Its HTML is sanitized like any plugin's. |
spec.md | The rules the model follows to write the block |
It then appears in aigui_guide as [custom] and draws in pages, PNGs and exports. Blocks installed when a session starts are named in the tool descriptions too: in a measured run, agents used a custom block in 9 of 9 sessions with that, against 5 of 9 without. A broken folder is skipped with its reason; a name that collides with a built-in block is refused.
Comments from the page
While the session runs, pages are served on 127.0.0.1 (a port the system picks) with a Comment button: pick a block, say what should change, send. The agent reads it with aigui_feedback and edits the page. Only the pages directory is served.
Configuration
| Variable | Effect |
|---|---|
AIGUI_OUT_DIR | Where pictures and pages go. Default ~/.cache/aigui (XDG_CACHE_HOME honoured). |
AIGUI_NO_OPEN=1 | Write pages without opening them. |
AIGUI_OPEN_IMAGES=1 | Also open aigui_render's PNGs in the image viewer — the plugins set it, since a terminal cannot show images. |
AIGUI_PLUGIN_DIR | Where custom blocks live. Default ~/.config/aigui/plugins. |
AIGUI_NO_BROWSER_DOWNLOAD=1 | Skip the headless-browser download; draw with an installed Chrome or Edge. |
AIGUI_BROWSER_CHANNEL | Pin a browser: chromium, chrome or msedge. |
Programmatic use
import { createServer, callTool, renderToContent, writePage } from "@ai-gui/mcp"createServer() returns the McpServer unconnected, for a host with its own transport; callTool(name, args) runs one tool directly.
License
MIT © Liang Li