figwright
Free, two-way Figma MCP server. Turn designs into framework-aware code, and push code back to the canvas. Works with Claude Code, Cursor, Codex, and any MCP client.
Install / Use
claude mcp add awdr74100 -- npx -y github:awdr74100/figwrightIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
DesignSupported Platforms
Skill content
View source on GitHubWhere Playwright drives the browser, Figwright drives Figma.
</div>What is Figwright?
Figwright connects an MCP server to a Figma plugin over a local WebSocket relay, so an AI agent — Claude Code, Cursor, Codex, or any other MCP client — can work with Figma instead of just looking at it.
It works in both directions:
Read — turn a Figma selection into framework-aware code, grounded on faithful, de-duplicated design context (layout, typography, variables, components).
<p align="center"> <img alt="Figwright turning a Figma selection into code" src="https://raw.githubusercontent.com/awdr74100/figwright/HEAD/.github/figma-to-code.gif" width="820"> </p>Write — author and edit the canvas directly: frames, text, auto-layout, styles, variables, components, whole screens.
<p align="center"> <img alt="Figwright building a design directly on the Figma canvas" src="https://raw.githubusercontent.com/awdr74100/figwright/HEAD/.github/code-to-figma.gif" width="820"> </p>Everything runs on your machine and talks to Figma through a plugin, so it needs no Figma Dev Mode seat and no paid tier.
Why Figwright
- Free — no Figma Dev Mode or paid seat. The official Dev Mode MCP is gated; Figwright isn't.
- Bidirectional — not read-only. 112 tools span reading and writing the canvas, so an agent can both implement designs and build them.
- Provider-first codegen — Figwright detects your real stack (framework + styling system) and reuses your existing components, tokens, and icons, instead of emitting generic markup you have to rewrite.
- Any MCP client — Claude Code, Cursor, and other MCP-capable agents all work the same way.
- Open & extensible — the read/write workflows ship as installable skills you can adopt or fork.
How it works
Your MCP client talks to the @figwright/mcp server over stdio; the server relays to the Figma plugin over a local WebSocket. Several clients can share one plugin — they elect a leader that owns the connection — and the transport is built to ride out dropped sockets:
┌─────────────────────────────────────────────────────────────────────┐
│ MCP CLIENTS — one per agent │
│ Claude Code · Cursor · Claude · any MCP-capable client │
└─────────────────────────────────────────────────────────────────────┘
│ MCP protocol over stdio
▼
┌─────────────────────────────────────────────────────────────────────┐
│ @figwright/mcp — your client launches one; they elect a leader │
│ │
│ LEADER (owns the single plugin connection) │
│ • WebSocket relay · request idempotency │
│ • routes to the most-recently-active file │
│ • session resume · "busy ≠ dead" heartbeat │
│ • endpoints: /ws (plugin) · /ping (health) · /rpc (followers) │
│ │
│ FOLLOWERS │
│ • forward tool calls to the leader over HTTP /rpc │
│ • take over automatically if the leader exits │
└─────────────────────────────────────────────────────────────────────┘
│ local WebSocket · msgpack (binary)
▼
┌─────────────────────────────────────────────────────────────────────┐
│ FIGMA (desktop or browser) │
│ │
│ ┌─────────────────────────────────────────────────────────────────┐ │
│ │ Figwright plugin │ │
│ │ • UI (Vue 3 iframe): WebSocket client + heartbeat │ │
│ │ • sandbox: executes Figma Plugin API calls │ │
│ └─────────────────────────────────────────────────────────────────┘ │
│ │
│ │ Figma Plugin API │
│ ▼ │
│ Canvas │
└─────────────────────────────────────────────────────────────────────┘
By design Figwright is provider-first: rather than a fixed compiler pipeline, the tools surface honest design context and let the model generate code that matches your codebase. The figma-codegen skill encodes this approach.
The plugin
The Figma-side plugin isn't a black box. It shows every call as it happens, lets you inspect the exact payload sent to the model, and surfaces its own connection health.
<p align="center"> <img alt="The Figwright panel: an activity log of tool calls, an expanded call showing the exact payload sent to the model, and a debug tab with connection and call statistics" src="https://raw.githubusercontent.com/awdr74100/figwright/HEAD/.github/plugin-panel.png" width="820"> </p> <p align="center"> <sub><b>Activity</b> — every call, with timing and a jump to the nodes it touched · <b>Payload</b> — exactly what the model received · <b>Debug</b> — health, versions, and a one-click diagnostic bundle</sub> </p>And it follows your Figma theme, light or dark.
<p align="center"> <img alt="The same panel side by side in Figma's light and dark themes" src="https://raw.githubusercontent.com/awdr74100/figwright/HEAD/.github/plugin-theme.png" width="616"> </p>The window is yours to arrange. Drag the bottom-right corner to resize it — a taller panel keeps more of the log in view, and the size is remembered next time you open it. Or send it to the background: the panel gets out of your way while the connection stays live, so a long-running agent keeps working.
<p align="center"> <img alt="The same panel at two sizes: a narrow one showing three calls with its resize corner highlighted, and a wider one showing five, with the run-in-background button highlighted in the header" src="https://raw.githubusercontent.com/awdr74100/figwright/HEAD/.github/plugin-window.png" width="602"> </p> <p align="center"> <sub><b>Resize</b> — drag the corner, the size sticks · <b>Background</b> — the panel hides, the relay stays connected</sub> </p>Quick start
1. Add the server to your MCP client
For Claude Code, add this to your .mcp.json (other clients use the same shape):
{
"mcpServers": {
"figwright": {
"command": "npx",
"args": ["-y", "@figwright/mcp@latest"]
}
}
}
npx fetches and runs the published server — no global install needed.
2. Install the Figma plugin
The plugin isn't on the Figma Community marketplace yet, so install it from the latest release:
- Download the plugin zip from the latest GitHub Release and unzip it.
- In the Figma desktop app: Menu → Plugins → Development → Import plugin from manifest… and pick the unzipped
manifest.json.
3. Connect
Open the Figwright plugin in Figma (Plugins → Development → Figwright). It connects to the local server automatically and shows Connected. Ask your agent to run ping to confirm the link.
4. (Optional) Install the skills
The skills make agents reach for Figwright at the right moment and follow the grounded workflows:
npx skills add awdr74100/figwright/skills
5. Try it
With a frame selected in Figma, prompt your agent:
Code this Figma selection as a React component.
or, the other direction:
Build a pricing section in Figma from this spec.
Skills
Agent skills orchestrate Figwright's tools. They're model-invoked — your agent loads one automatically when the task matches its description.
| Skill | What it does |
| :------------------------------------------------- | :-------------------------------------------------------------------------------------------------- |
| figma‑codegen | Turn a Figma selection into framework-aware code, grounded on your stack and existing components. |
| figma‑build | Build a Figma design from code or a description, reusing the file's existing components and styles. |
Install across any supported agent with the skills CLI:
npx skills add awdr74100/figwright/skills # both
npx skills add https://github.com/awdr74100/figwright/tree/main/skills/figma-codegen # one
[!NOTE] Skills need the
@figwright/mcpserver connected — on their own they have no tools to drive.
Tools
Figwright exposes 112 MCP tools in three groups:
- Read — selection, document and node inspection, styles, variables, components, fonts, reactions, motion (animation) state, screenshots, original image-fill assets, PDF export, and video export of animated frames (MP4 / GIF / WebM).
- Write — create and edit frames, text, shapes, auto-layout, effects, styles, variables, components (including authoring their boolean/text/instance-swap properties), pages, reactions, and Motion animations (keyframes, animation-style presets, timelines); plus a
batchtool to apply many edits at once. - Grounding —
get_design_contextfor faithful, de-duplicated design context, andcomponent_map/token_map/icon_map, which join Figma data to your codebase so codegen reuses what you already have; plusdesign_diff, which reports what changed in a design against a saved baseline so you update only the affected code.
[!TIP] Your MCP client lists every tool at connect time — that's always the authoritative, up-to-date catalog.
Requirements
- An MCP client (Claude Code, Cursor, …).
- Node.js 20.19+ or 22.12+ — the server runs via
npx, as its own process, so this is independent of the Node version your project builds with. (This is the modern-Node baseline; Node 18/21 and 22.0–22.11 aren't supported.) - Figma — the free tier is enough; the desktop app is needed to import the plugin in development.
Security
Figwright runs entirely on your machine: your client launches the server over stdio, the server relays to the plugin over a WebSocket on 127.0.0.1:3055, and nothing is sent anywhere else. The plugin uses only Figma's public Plugin API, so it reaches the file you have open and nothing beyond it.
Loopback is not on its own a boundary — a web page you visit can still reach a local port — so the relay gates every request on two headers a page cannot forge: Host, which must name loopback (this is what stops DNS rebinding), and Origin, which admits the plugin'
Truncated for display — read the full file on GitHub.
Related Skills
Agent-Reach
84.4kGive your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
headroom
73.4kCompress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
ruflo
73.0k🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
CowAgent
47.1kOpen-source super AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge. Multi-agent, multi-model, multi-channel. Lightweight, extensible, one-line install.
