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MCP server + Figma plugin that streams live design data to AI coding tools — no API rate limits
A plugin + MCP server that streams live Figma document data to AI coding tools without hitting Figma's REST API rate limits. Figma's free-tier API limits are brutal (a handful of requests per month), so I built this to bypass that entirely — the plugin reads directly from the Figma canvas and streams data over a local WebSocket to the MCP server.
Clone the repo and run the installer — it detects every installed AI tool and configures them all in one shot.
macOS / Linux
git clone https://github.com/slashdoodleart/figma-mcp-free.git
cd figma-mcp-free
chmod +x install.sh && ./install.sh
Windows (PowerShell)
git clone https://github.com/slashdoodleart/figma-mcp-free.git
cd figma-mcp-free
.\install.ps1
The installer:
Then in Figma: Plugins → Development → Import plugin from manifest → select plugin/manifest.json.
get_design_context and get_screenshot accept nodeIds to target specific nodes without selecting them in Figma| Tool | Config file |
|---|---|
| Claude Desktop (macOS) | ~/Library/Application Support/Claude/claude_desktop_config.json |
| Claude Desktop (Linux) | ~/.config/claude/claude_desktop_config.json |
| Claude Desktop (Windows) | %APPDATA%\Claude\claude_desktop_config.json |
| Claude Code | ~/.claude/mcp.json |
| Cursor | ~/.cursor/mcp.json |
| VS Code / GitHub Copilot | ~/Library/Application Support/Code/User/mcp.json (macOS) |
| Windsurf | ~/.codeium/windsurf/mcp_config.json |
| Gemini Code (Antigravity) | ~/Library/Application Support/Google/GeminiCode/mcp_config.json |
| Zed | ~/.config/zed/settings.json |
Add the MCP server entry to mcpServers in the relevant file:
{
"mcpServers": {
"figma-mcp-free": {
"command": "node",
"args": ["/absolute/path/to/figma-mcp-free/server/dist/index.js"]
}
}
}
Or use npx (no build required):
{
"mcpServers": {
"figma-mcp-free": {
"command": "npx",
"args": ["-y", "figma-mcp-free"]
}
}
}
Add to ~/Library/Application Support/Code/User/mcp.json (global) or .vscode/mcp.json (workspace):
{
"servers": {
"figma-bridge": {
"type": "stdio",
"command": "npx",
"args": ["-y", "figma-mcp-free"]
}
}
}
For the best experience, use the included VS Code agent (Figma MCP Free) and Copilot instructions in .github/copilot-instructions.md — they define the recommended design-to-code workflow.
| Tool | Description |
|---|---|
get_metadata | Lightweight node tree with IDs, types, positions, sizes. Use first on large designs. |
get_design_context | Full design data — layout, typography, fills, effects, constraints, components. Primary tool. |
get_screenshot | Export screenshot as PNG/JPG/SVG/PDF. PNG preserves transparency. |
get_variable_defs | All Figma variable collections and values (design tokens). |
get_styles | Local paint, text, effect, and grid styles. |
get_node | Fetch a specific node by ID. |
get_selection | Get currently selected nodes with full properties. |
get_document | Full page document tree. |
save_screenshots | Export + save screenshots directly to filesystem. |
create_design_system_rules | Generate AI workflow rules tailored to your stack. |
git clone https://github.com/slashdoodleart/figma-mcp-free.git
cd figma-mcp-free
# Build server
cd server && npm install && npm run build
# Build plugin
cd ../plugin && npm install && npm run build
Then run ./install.sh (or .\install.ps1) to configure your AI tools.
figma-mcp-free/
├── plugin/ # Figma plugin (TypeScript/React)
│ ├── src/main/
│ │ ├── code.ts # Plugin handler — processes bridge requests
│ │ └── serializer.ts # Serializes Figma nodes → structured JSON
│ └── src/ui/
│ └── App.tsx # Plugin UI (connection status)
└── server/ # MCP server (TypeScript/Node.js)
└── src/
├── index.ts # Entry point
├── bridge.ts # WebSocket bridge to Figma plugin
├── leader.ts # Leader: HTTP server + bridge
├── follower.ts # Follower: proxies to leader via HTTP
├── node.ts # Dynamic leader/follower role switching
├── election.ts # Leader election & health monitoring
├── tools.ts # MCP tool definitions
├── schema.ts # Zod input schemas
└── types.ts # Shared types
Runs inside Figma and reads directly from the canvas using the Figma Plugin API. It serializes nodes into structured JSON with full layout, typography, visual styles, design tokens, and component data. Connects to the MCP server over WebSocket at ws://localhost:1994.
Receives tool calls from AI clients via stdio (MCP protocol), forwards them to the Figma plugin over the WebSocket, and returns the results. Multiple server instances use leader election — only one holds the WebSocket connection, others proxy requests via HTTP.
┌─────────────────────────────────────────────────────────────────────────────┐
│ FIGMA (Browser) │
│ ┌───────────────────────────────────────────────────────────────────────┐ │
│ │ Figma Plugin │ │
│ │ Reads canvas → serializes → streams │ │
│ └───────────────────────────────────────────────────────────────────────┘ │
└─────────────────────────────────────────────────────────────────────────────┘
│
│ WebSocket (ws://localhost:1994)
▼
┌─────────────────────────────────────────────────────────────────────────────┐
│ PRIMARY MCP SERVER (Leader) │
│ ┌─────────────────────────────────────────────────────────────────────┐ │
│ │ • Manages WebSocket to plugin Endpoints: │ │
│ │ • Forwards MCP tool calls • /ws (plugin) │ │
│ │ • Routes responses back • /ping (health) │ │
│ │ • /rpc (followers) │ │
│ └─────────────────────────────────────────────────────────────────────┘ │
└─────────────────────────────────────────────────────────────────────────────┘
▲ ▲
│ HTTP /rpc │ HTTP /rpc
┌─────────────────┴───────────┐ ┌─────────────┴───────────────┐
│ FOLLOWER SERVER 1 │ │ FOLLOWER SERVER 2 │
│ • Proxies to leader │ │ • Proxies to leader │
│ • Takes over if leader │ │ • Takes over if leader │
│ goes down │ │ goes down │
└─────────────────────────────┘ └─────────────────────────────┘
▲ ▲
│ MCP (stdio) │ MCP (stdio)
▼ ▼
┌─────────────────────────────┐ ┌─────────────────────────────┐
│ AI Tool / IDE 1 │ │ AI Tool / IDE 2 │
└─────────────────────────────┘ └─────────────────────────────┘
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