About figma-bridge-mcp
figma-bridge-mcp is a local MCP server that connects AI clients to an open Figma Desktop document. It supports both editing canvas designs through JavaScript and reading design data, tokens, CSS, components, and screenshots.
Key features
- 01Create and modify canvas designs
- 02Read node trees and design tokens
- 03Extract CSS and component maps
- 04Capture screenshots and export images
- 05Support multiple Figma sessions
- 06Run locally over localhost
Use cases
- 01Generate UI layouts on a Figma canvas
- 02Inspect a selected design for implementation
- 03Convert frame details into CSS
- 04Review screenshots and iterate on a design
MCP support
Exposes five tools to MCP clients: connection status, API and design guidance, JavaScript-based writing, design reading, and rule retrieval. It connects through a Figma Desktop plugin and a local bridge.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project README
Let AI draw on your Figma canvas — and read your designs back as code.
A bidirectional Model Context Protocol bridge for Figma Desktop.
No Figma API key. No cloud. Everything runs on localhost.
Quick start · How it works · Tools · Security · Troubleshooting · Changelog
Not affiliated with, endorsed by, or sponsored by Figma, Inc. "Figma" is a trademark of Figma, Inc., used here only to describe compatibility.
Overview
figma-bridge-mcp connects an AI assistant to the document you have open in Figma Desktop.
| ✍️ Write | The AI runs JavaScript against a figma.* API to create frames, text, vectors, components, variables, prototypes. |
| 👀 Read | The AI extracts node trees, resolved design tokens, CSS, component maps and screenshots — ready for design-to-code. |
| 🔒 Local | The bridge listens on 127.0.0.1 only. Nothing leaves your machine. |
| 🧩 Any MCP client | ✅ Tested with Claude Code and Antigravity. 🔧 Compatible with Cursor, VS Code, Windsurf, Zed and any stdio MCP client. |
Requires Figma Desktop. The plugin talks to the server over
localhost, which Figma's web app does not allow.
How it works
Three parts cooperate: your AI client, the MCP server (Node), and the Figma plugin (inside Figma Desktop). The plugin polls the server, so no inbound connection to Figma is ever needed.
flowchart LR
subgraph Client["AI client"]
A["Claude Code · Cursor · Windsurf<br/>VS Code · Antigravity · any MCP client"]
end
subgraph Server["figma-bridge-mcp (Node)"]
B["MCP server<br/>5 tools · stdio"]
C["Code sandbox<br/>runs figma_write code"]
D["HTTP bridge<br/>127.0.0.1:47451"]
end
subgraph Figma["Figma Desktop"]
E["Plugin UI<br/>long-poll client"]
F["Plugin main thread<br/>66 operations"]
G[("Figma document")]
end
A <-->|"MCP / stdio"| B
B --> C
C --> D
B --> D
D <-->|"HTTP long-poll"| E
E <-->|postMessage| F
F <--> G
One round trip
The server holds each poll open for up to 8 s and answers the moment work is queued, so latency is typically under 100 ms.
sequenceDiagram
autonumber
participant AI as AI client
participant S as MCP server
participant B as Bridge :47451
participant P as Figma plugin
AI->>S: figma_write { code }
S->>S: run code in sandbox
S->>B: queue operation (create, modify, …)
P->>B: GET /poll (held up to 8 s)
B-->>P: operations
P->>P: apply to the Figma document
P->>B: POST /response { id, data }
B-->>S: resolve operation
S-->>AI: result + logs
Several Figma files at once
Each open plugin instance registers its own session. Pass the optional sessionId to figma_write / figma_read to target a specific file; if that session is not connected the call fails instead of writing into another file.
Quick start
1 · Add the MCP server to your client
Claude Code
claude mcp add figma-bridge-mcp -- npx @hanoilab/figma-bridge-mcp # this project
claude mcp add --scope user figma-bridge-mcp -- npx @hanoilab/figma-bridge-mcp # all projects
Claude Desktop
Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": {
"figma": { "command": "npx", "args": ["-y", "@hanoilab/figma-bridge-mcp"] }
}
}
Cursor
Edit .cursor/mcp.json (project) or ~/.cursor/mcp.json (global) with the same mcpServers block shown for Claude Desktop.
VS Code / GitHub Copilot
Edit .vscode/mcp.json, or add to settings.json:
{
"mcp": {
"servers": {
"figma": { "command": "npx", "args": ["-y", "@hanoilab/figma-bridge-mcp"] }
}
}
}
Windsurf
Edit ~/.codeium/windsurf/mcp_config.json with the same mcpServers block shown for Claude Desktop.
Antigravity (Google)
Agent panel "…" menu → Manage MCP Servers → View raw config, then add the same mcpServers block to mcp_config.json.
From source
git clone https://github.com/nguyendinhphongdx/figma-bridge-mcp
cd figma-bridge-mcp && npm install
# point your MCP client at: node /path/to/figma-bridge-mcp/server/index.js
Restart your client after editing its config. MCP servers load only at startup.
2 · Install the Figma plugin
- ⬇ Download the plugin and unzip it anywhere.
- In Figma Desktop: Plugins → Development → Import plugin from manifest… and pick
manifest.json. - Run Plugins → Development → Bridge MCP for Figma.
The plugin window shows a green dot once it reaches the server.
3 · Connect and design
Tell your assistant:
"Connect to figma-bridge-mcp"
It calls figma_status and confirms the file, page and plugin version. Then just describe what you want:
"Draw a mobile login screen with Apple and Google sign-in buttons."
flowchart LR
P["Your prompt"] --> D["figma_docs<br/>load API + design rules"]
D --> R["figma_read<br/>inspect the canvas"]
R --> W["figma_write<br/>draw / modify"]
W --> S["figma_read screenshot<br/>verify"]
S -->|"needs fixes"| W
S -->|"looks right"| Done(["Done"])
Prompt ideas and tips
| Prompt | What happens |
|---|---|
| "Draw a mobile login screen with social buttons" | A 390×844 frame with inputs and buttons |
| "Read the selected frame and describe the design" | Colors, typography, spacing from your selection |
| "Convert my selected frame to Tailwind" | Reads the node tree, generates code |
| "Create a dark dashboard with KPI cards" | A full layout with stats and charts |
| "Take a screenshot of the current frame" | An inline image the AI can analyze |
- Name the style (
dark,glassmorphism,minimal white) and the platform (mobile390×844,tablet768×1024,desktop1440×900). - Iterate: "make the buttons bigger" works on existing nodes — the AI reads before it modifies.
- Use selection: select a frame, then ask "improve this design".
Updating
npx @hanoilab/figma-bridge-mcp@latest --version # prints the new version and the plugin path
Restart your client, then re-import manifest.json from the printed path (Plugins → Development → Manage plugins in development). The Figma plugin does not auto-update. Run figma_status and check that pluginVersion matches.
Tools
The server exposes five MCP tools.
| Tool | Purpose |
|---|---|
figma_status | Connection check, active file/page, sessions. Call first. |
figma_docs | The full API reference and design rules. Call before drawing. |
figma_write | Run JavaScript against the figma.* API to create or change the design. |
figma_read | Extract design data: trees, tokens, CSS, components, screenshots. |
figma_rules | One markdown rule sheet: color tokens, text styles, variables, components. Call once per session. |
Design to code
flowchart LR
F["Select a frame<br/>in Figma"] --> A["get_design_context<br/>layout · tokens · typography"]
F --> B["get_css<br/>ready-to-paste CSS"]
F --> C["get_component_map<br/>instances + import paths"]
A --> AI(["AI generates<br/>React · Vue · Swift · Tailwind"])
B --> AI
C --> AI
figma_write — 47 operations
Code runs in a sandbox with the figma object; each call is isolated, so re-query node IDs at the start of every call.
const root = await figma.create({
type: "FRAME", name: "Dashboard", width: 1440, height: 900, fill: "#0f172a",
});
const sidebar = await figma.create({
type: "FRAME", name: "Sidebar", parentId: root.id,
width: 240, height: 900, fill: "#1e293b", stroke: "#334155", strokeWeight: 1,
});
await figma.create({
type: "TEXT", parentId: sidebar.id, x: 20, y: 24,
content: "My App", fontSize: 16, fontWeight: "SemiBold", fill: "#f8fafc",
});
| Area | Operations |
|---|---|
| Nodes | create (FRAME, RECTANGLE, ELLIPSE, LINE, TEXT, SVG, VECTOR, IMAGE) · modify · delete (single or ids: []) · query · append · clone · group / ungroup · flatten · resize · batch (up to 50 ops) |
| Pages & view | status · listPages · setPage · createPage · set_selection · set_viewport |
| Components | listComponents · createComponent · instantiate (with per-layer overrides) · setComponentProperties · swapComponent · addComponentProperty · bindComponentProperty · unbindComponentProperty · removeComponentProperty |
| Tokens & styles | setupDesignTokens (colors, numbers, fonts, text styles, modes in one idempotent call) · variable collections / modes / values · applyVariable · applyTextStyle · setFrameVariableMode · createPaintStyle · createTextStyle |
| Images & icons | loadImage(url) · loadIcon(name) · loadIconIn(name) — server-side, with a 7-library icon fallback (Ionicons → Fluent → Bootstrap → Phosphor → Tabler → Lucide) |
| Prototyping | setReactions / removeReactions (click, hover, press → navigate, overlay, swap; Smart Animate and more) · setScrollBehavior |
Styling properties on create / modify
| Property | Example |
|---|---|
| Solid fill | "#6C5CE7", "#6C5CE780" (8-digit hex) or "rgba(108,92,231,0.5)" |
| Gradient | { type: "LINEAR_GRADIENT", angle: 135, stops: [{ pos: 0, color: "#7C3AED" }, { pos: 1, color: "#EC4899" }] } (also RADIAL_GRADIENT) |
| Corners | cornerRadius: 12 or topLeftRadius / topRightRadius / bottomLeftRadius / bottomRightRadius |
| Effects | [{ type: "DROP_SHADOW", color: "#00000026", offset: {x:0,y:8}, radius: 24 }] — also INNER_SHADOW, LAYER_BLUR, BACKGROUND_BLUR |
| Vector path | d: "M 150 7 A 143 143 0 1 1 29.26 226.62" — SVG arcs are converted to Béziers |
| Insert position | insertIndex: 2 places the node at an exact index in its parent |
applyVariable binds FLOAT, COLOR, STRING and BOOLEAN variables to fills, strokes, geometry, corner radii, auto-layout spacing, typography, font family/style, text content and visibility.
figma_read — 19 operations
| Operation | Returns |
|---|---|
get_selection · get_design · get_page_nodes | Node trees for the selection, a frame/page, or the top-level frames |
get_design_context | AI-optimized payload: flex layout, token-resolved fills as var(--name), typography with style names, component instances |
get_component_map · get_unmapped_components | Every instance with set name, variant label and suggested import path; instances with no code mapping yet |
get_node_detail | One node's properties with variables and styles resolved to names and values, plus a full list of instance overrides |
get_css | A ready-to-use CSS string for a node |
screenshot · export_image · export_svg | Inline PNG, base64 PNG/JPG (format, scale), or SVG markup |
get_styles · get_variables · get_local_components · get_viewport | Local styles, design tokens (all modes), components, viewport |
getReactions · getComponentProperties | Prototype interactions of a node; variant, boolean, text and instance-swap properties of a component or instance |
search_nodes · scan_design | Find nodes by type, name, color, font, size; progressive scan of large files |
Hidden layers are skipped by default; pass includeHidden: true to get_selection, get_design, search_nodes or scan_design to include them.
Working with an existing design system
Read before you draw, then bind to what exists:
const vars = await figma.get_variables();
const varMap = {};
vars.collections.forEach(c => c.variables.forEach(v => { varMap[v.name] = v.id; }));
const card = await figma.create({
type: "FRAME", name: "Card", width: 360, height: 200,
layoutMode: "VERTICAL", paddingTop: 16, paddingLeft: 16, paddingBottom: 16, paddingRight: 16, itemSpacing: 12,
});
await figma.applyVariable({ nodeId: card.id, field: "fill", variableId: varMap["bg-surface"] });
await figma.applyVariable({ nodeId: card.id, field: "cornerRadius", variableId: varMap["radius-md"] });
Prefer figma.instantiate({ componentId, parentId, overrides }) over redrawing existing components, and pin frames to a mode with setFrameVariableMode to preview Light and Dark side by side. The complete reference is one figma_docs call away.
Security model
The bridge has no login, so access is controlled at the network edge, and figma_write code is treated as having your user's trust level.
flowchart LR
R["HTTP request"] --> O{"Origin missing<br/>or 'null'?"}
O -->|no| X1["403 — web page"]
O -->|yes| H{"Host is<br/>loopback?"}
H -->|no| X2["403 — DNS rebinding"]
H -->|yes| A{"Operation on<br/>the allowlist?"}
A -->|no| X3["400"]
A -->|yes| Q["Queued for the plugin"]
| Layer | Protection |
|---|---|
| Network | Binds 127.0.0.1 only. Requests carrying a web-page Origin or a non-loopback Host get 403, so a site you have open cannot drive the bridge. |
| Allowlist | Only the 66 named operations are accepted, on the MCP path and on /exec. |
| Sandbox | figma_write runs in a Node vm context that receives no host objects — only strings cross the boundary — and has no require, process, fs or fetch. It is hardened against the known constructor escape, but vm is not a process boundary: do not run code you do not trust. |
| Outbound fetch | loadImage / loadIcon fetch only public http(s) URLs; private, loopback and link-local targets are blocked, including after redirects. |
| Sessions | A pinned sessionId that is not connected is an error, never a silent fallback to another file. |
| Limits | 5 MB request body · 30 s sandbox execution · 60–90 s per plugin operation. |
Found a vulnerability? See SECURITY.md.
Configuration
| Variable | Default | Purpose |
|---|---|---|
FIGMA_MCP_PORT | 47451 | Bridge port. If taken, the next 9 ports are tried. |
FIGMA_MCP_HOST | 127.0.0.1 | Bind address. Changing it exposes an unauthenticated bridge — avoid. |
FIGMA_MCP_LONG_POLL_MS | 8000 | How long an idle poll is held open. |
FIGMA_MCP_ALLOW_PRIVATE_FETCH | unset | Set to 1 to let loadImage reach private/loopback hosts (e.g. a local asset server). |
Troubleshooting
| Symptom | Fix |
|---|---|
Plugin not connected | Run the plugin in Figma Desktop (Plugins → Development → Bridge MCP for Figma). The web app cannot reach localhost. |
| Tools missing in the AI client | Restart the client fully after editing its MCP config. |
| Green dot never appears | Check nothing else holds port 47451, or set FIGMA_MCP_PORT and re-import the plugin. |
Every port in 47451–47460 is "in use" | Find the owner with netstat -ano | findstr :47451. If it is a leftover process of yours, free the port with npx -y kill-port 47451 (it kills whatever holds the port, so check first), or choose another with FIGMA_MCP_PORT. |
| Plugin and server versions differ | Re-import manifest.json after upgrading; the plugin does not auto-update. |
Session "…" is not connected | The targeted Figma file is closed or its plugin stopped. Open it, or omit sessionId to use the active file. |
variable is not defined in figma_write | Each call is isolated. Re-query node IDs at the start of every call. |
Icon "…" not found | Use Ionicons names in kebab-case (notifications, chevron-back, lock-closed). |
Project layout
figma-bridge-mcp/
├── server/ npm package: MCP server + bridge
│ ├── index.js MCP entry (stdio) and tool handlers
│ ├── bridge-server.js HTTP bridge: long-poll, sessions, origin gate
│ ├── code-executor.js sandbox for figma_write
│ ├── figma-proxy.js the figma.* API seen by user code
│ ├── http-fetch.js guarded fetch for images and icons
│ ├── allowed-ops.js operation allowlist
│ └── docs/ reference served by figma_docs
├── src/plugin/ plugin source (plain files, concatenated)
├── plugin/ manifest.json, ui.html, code.js (generated)
└── scripts/ build, test runner, regression tests
Development
npm install
npm run build:plugin # src/plugin/*.js → plugin/code.js (generated — never edit by hand)
npm test # every scripts/test-*.mjs; no live Figma needed
Plugin files share one scope when concatenated; their order lives in scripts/lib/plugin-files.mjs. See CLAUDE.md for the invariants worth knowing before you change anything.
Releasing: bump version in package.json, rename the top CHANGELOG.md heading to ## [x.y.z] — date, push to main. CI runs the tests, publishes to npm, tags the commit, creates a GitHub Release with the plugin zip attached, and updates the MCP Registry.
License
MIT © nguyendinhphongdx. Forked from TranHoaiHung/figma-ui-mcp; the original copyright notice is preserved in LICENSE.
Comments
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