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Reqwise Figma

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Enables AI agents to read and draw on Figma canvas safely, with built-in safeguards for layout, overlays, and verification.

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About

Enables AI agents to read and draw on Figma canvas safely, with built-in safeguards for layout, overlays, and verification.

README

An MCP server that lets AI agents read and draw on the Figma canvas — safely.

Reqwise Figma MCP pairs a local MCP server with a companion Figma plugin. Point Claude Code, Cursor, or any MCP-capable agent at it, and the agent can inspect a Figma file and draw into it by executing JavaScript against a figma.* proxy API — with the plugin layer catching the mistakes that usually turn "AI draws a screen" into "AI draws an overflowing, half-clipped mess."

It exists because the current generation of Figma MCPs make agents responsible for discipline they don't have: remembering never to overlay a semi-transparent frame, re-declaring token maps every call, manually computing x/y offsets, eyeballing screenshots to check for clipping. Reqwise moves that discipline into the server and plugin, and gives the agent a structured way to verify its own work.

Why this one

Typical Figma MCP Reqwise Figma MCP
Verification Screenshot only — agent eyeballs pixels layout_audit returns declared vs. rendered bounds, overflowsParent, clippedBy, textTruncated per node; screenshots stay for final human review
Overlays / scrims Agent dims a screen with an opacity'd FRAME (dims the whole subtree) figma.overlay() creates a correctly layered RECTANGLE — the mistake is structurally unavailable
Session state Token maps and id registries re-declared every call state is a persistent object per session; set up tokens once, reuse across calls
Connection Silent boolean, or a dead WS with no explanation figma_status returns diagnostics plus an ordered hints list of concrete next steps
Multiple IDE windows Second server instance fights for the port or silently fails Leader/follower election; followers forward through an authenticated /rpc to the one leader holding the plugin connection
Batch operations Hard caps (e.g. 50 ops) with all-or-nothing failure Chunked streaming, partial commit, exact per-index error reporting, no hard cap
Sandbox JS Restricted/older syntax (no ?., ??, spread) Node vm — full modern ES (optional chaining, nullish coalescing, spread, async/await)
Errors Bare exceptions Every failure carries {code, message, hint} — the hint is the next concrete step
Edit-in-place Draw-from-scratch focus; per-op fights the single-threaded plugin Selection-first workflow (readSelection → modify → layout_audit), instance-override "format painter", recursive recolor, mixed-font-safe text edits; writes serialized per connection so mutations never race

See ARCHITECTURE.md for the full design rationale and the root-cause fixes behind these defaults.

Quickstart

1. Install

git clone https://github.com/<you>/reqwise-figma-mcp.git
cd reqwise-figma-mcp
npm install
npm run build

This builds the server to dist/ and the plugin bundle to plugin/code.js.

2. Register the MCP server

claude mcp add reqwise-figma -- node /absolute/path/to/reqwise-figma-mcp/dist/server/index.js

(See docs/INSTALL.md for Cursor and Claude Desktop JSON config, plus npx-based setups.)

3. Import the plugin into Figma Desktop

Figma Desktop → menu → Plugins → Development → Import plugin from manifest… → select plugin/manifest.json from this repo. Run it from Plugins → Development → Reqwise Figma MCP and keep its window open.

4. Check the connection

Ask your agent to call figma_status. A healthy connection looks like:

{
  "pluginConnected": true,
  "mode": "leader",
  "port": 38470,
  "plugin": { "version": "0.1.0", "apiVersionMatch": true, "fileName": "My File", "pageName": "Page 1" },
  "hints": ["All systems nominal. Draw with figma_write; verify with figma_read layout_audit."]
}

If pluginConnected is false or a hint mentions a version mismatch or missing heartbeat, see the troubleshooting table in docs/INSTALL.md.

Tools

Tool Purpose
figma_status Rich connection diagnostics — plugin connection, leader/follower mode, heartbeat, queue, sessions, and an ordered hints list. Never a bare boolean.
figma_read Read the canvas via an op enum (get_document_info, get_selection, read_selection, get_design_context, get_design_system_kit, generate_design_md, search_nodes, screenshot, layout_audit, ...) with token-frugal responses.
figma_write Execute modern-ES JavaScript against the figma.* proxy to create/modify the canvas. state persists per session.
figma_rules One-call design-system rule sheet (styles + variables + components) as markdown — read before drawing so you reuse instead of hardcode. For a durable spec, use figma_read op generate_design_md and save the returned markdown as design.md.
figma_docs On-demand documentation: rules | layout | api | tokens | icons | recipes.

Full parameter reference for every operation and every figma.* method: docs/TOOLS.md.

Example: figma_write

// Set tokens once — they persist in this session's `state.tokens`.
await figma.setupTokens({
  colors: { primary: "#2563EB", surface: "#0B0B0F" },
  numbers: { "radius-md": 8 },
});

// Draw a card with wrapping text, reusing the parent's width.
const card = await figma.create({
  type: "FRAME", name: "Card", parentId: state.rootId,
  width: 320, layoutMode: "VERTICAL",
});
await figma.applyVariable(card.id, "fills", "surface");
await figma.create({
  type: "TEXT", parentId: card.id, wrap: true,
  characters: "A long paragraph that must wrap inside the card.",
});

// Verify before screenshotting for a human.
const audit = await figma.layoutAudit(card.id);
if (audit.summary.issues.length) console.warn(audit.summary.issues);

Example: generate design.md

Ask your agent to call:

{ "op": "generate_design_md", "params": { "depth": 2 } }

The response contains a source-grounded design.md scaffold: overview, colors, typography, layout, elevation, shapes, component variants, exact component property keys, text layers, reuse rules, responsive notes and known gaps. Save it in the target codebase before asking the agent to create UI from an existing Figma component system. For a very large file, pass maxComponents or maxOutputChars; otherwise the default aims to be complete rather than terse.

Architecture

MCP client (Claude Code / Cursor)
      │ stdio (MCP)
      ▼
 Reqwise MCP server (Node ≥ 18, TypeScript)
      │  owns HTTP+WS server on localhost:38470 (fallback +1..+9)
      │    GET  /health    → diagnostics JSON
      │    POST /rpc       → follower → leader forwarding (auth token)
      │    WS   /ws        → Figma plugin UI connection
      ▼
 Figma Desktop plugin
   ├── ui.html   (WebSocket client, heartbeat, reconnect w/ backoff)
   └── code.js   (Plugin API executor, safe-default handlers)

Every operation — leader-direct or follower-forwarded — passes through one validateOperation() choke point before it reaches the plugin. Full topology, the leader/follower protocol, and the 15 safe-default fixes are documented in ARCHITECTURE.md.

Documentation

License

MIT © 2026 Hoang Phan. See LICENSE.

from github.com/hoangpm96/reqwise-figma-mcp

Install Reqwise Figma in Claude Desktop, Claude Code & Cursor

Recommended · one command, every IDE
unyly install reqwise-figma-mcp

Installs into Claude Desktop, Claude Code, Cursor & VS Code — handles npx, uvx and build-from-source repos for you.

First time? Get the CLI: curl -fsSL https://unyly.org/install | sh

Or configure manually

Run in your terminal:

claude mcp add reqwise-figma-mcp -- npx -y github:hoangpm96/reqwise-figma-mcp

FAQ

Is Reqwise Figma MCP free?

Yes, Reqwise Figma MCP is free — one-click install via Unyly at no cost.

Does Reqwise Figma need an API key?

No, Reqwise Figma runs without API keys or environment variables.

Is Reqwise Figma hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install Reqwise Figma in Claude Desktop, Claude Code or Cursor?

Open Reqwise Figma on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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