Figma REST MCP Server

A Model Context Protocol (MCP) server that provides Figma REST API automation capabilities. This server enables AI assistants like Claude/Cursor/ChatGPT to manage and interact with Figma files, retrieve design data, and export assets.

This package minimizes the amount of tools to help AI Agents pick the right tool for a given prompt.

Features

• 🎨 File Management - List and inspect Figma files and projects
• 📊 Design Data Access - Get comprehensive file and node information
• 🖼️ Asset Export - Export nodes as images (SVG, PNG, JPG)
• 🚀 Dual Transport - HTTP and stdio (for Claude Code)

For detailed information about available tools, see tools.md.

Table of Contents

• Figma REST MCP Server
  • Features
  • Table of Contents
  • Getting Started
    • Prerequisites
  • Configuration
    • Environment Variables
    • Cursor / Claude Code / Claude Desktop Configuration
    • HTTP Transport (for n8n or other HTTP clients)
  • Development
    • Development Scripts
  • Troubleshooting
    • Common Issues
    • Debug Logging
  • Contributing
  • License
  • Acknowledgments

Getting Started

Prerequisites

• Node.js 18 or higher
• Figma Access Token (Personal or OAuth)
• npm or yarn

Configuration

Environment Variables

Configure the server behavior using environment variables:

Variable	Description	Default	Options
FIGMA_ACCESS_TOKEN	Figma API access token (required)	None	Any valid token
FIGMA_BASE_URL	Figma API base URL	https://api.figma.com	Any valid URL
PORT	HTTP server port	4202	Any valid port number
MCP_AUTH_TOKEN	Authentication token for HTTP server (optional)	None	Any string

Cursor / Claude Code / Claude Desktop Configuration

To use this server with Cursor/Claude Code/Claude Desktop, add it to your MCP settings file.

Configuration:

{
  "mcpServers": {
    "figma-rest": {
      "command": "npx",
      "args": [
        "figma-rest-mcp"
      ],
      "env": {
        "FIGMA_ACCESS_TOKEN": "figd_xxxxxx_your_figma_token_here"
      }
    }
  }
}

To get your Figma Access Token: https://help.figma.com/hc/en-us/articles/8085703771159-Manage-personal-access-tokens

Note: After updating the configuration, restart Claude Code/Desktop for changes to take effect.

Important: Ensure you have a valid Figma Access Token set in the environment variables.

Note: After updating the configuration, restart Cursor for changes to take effect.

Important: Never commit your Figma Access Token to version control.

HTTP Transport (for n8n or other HTTP clients)

Start the HTTP server:

npm install
FIGMA_ACCESS_TOKEN=your_token npm start
# or with custom port
FIGMA_ACCESS_TOKEN=your_token PORT=4202 npm start

# With authentication (recommended)
FIGMA_ACCESS_TOKEN=your_token MCP_AUTH_TOKEN=your-secret-token npm start

The server will listen on http://localhost:4202/mcp (or your custom port).

Authentication (Optional):

You can secure the HTTP server with token-based authentication by setting the MCP_AUTH_TOKEN environment variable. If set, all requests must include the token in the Authorization header.

Example HTTP Request (with authentication):

curl -X POST http://localhost:4202/mcp \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer your-secret-token" \
  -d '{
    "jsonrpc": "2.0",
    "id": 1,
    "method": "tools/call",
    "params": {
      "name": "list_files",
      "arguments": {}
    }
  }'

Development

Development Scripts

# Install dependencies
npm install

# Start HTTP server with auto-reload
npm run dev

# Start stdio server with auto-reload
npm run dev:stdio

# Build TypeScript to JavaScript
npm run build

Troubleshooting

Common Issues

1. Missing Figma Access Token

Error: FIGMA_ACCESS_TOKEN environment variable is required

Solution: Set your Figma Access Token in the environment variables or configuration file.

2. Invalid Figma Access Token

Error: Figma API error: 403 Forbidden

Solution: Verify your token is valid and has the necessary permissions. Generate a new token if needed.

3. Node.js version too old

Error: Node.js 18 or higher required

Solution: Update Node.js to version 18 or higher.

4. File not found

Error: Figma API error: 404 Not Found

Solution: Verify the file key or URL is correct with get_file_info.

5. Port already in use (HTTP mode)

Error: listen EADDRINUSE: address already in use :::4202

Solution: Change the port with PORT=3001 npm start

6. Rate limiting

Error: Figma API error: 429 Too Many Requests

Solution: Wait a moment before retrying. Figma has rate limits on API requests.

Debug Logging

For stdio mode, logs are written to stderr and appear in Claude Code logs:

• macOS: ~/Library/Logs/Claude/mcp-server-figma-rest.log
• Linux: ~/.config/Claude/logs/mcp-server-figma-rest.log

For HTTP mode, logs appear in the terminal where you started the server.

Contributing

Contributions are welcome! Please:

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Run npm run build to ensure it compiles
5. Test your changes
6. Submit a pull request

License

MIT

Acknowledgments

Built with:

• Figma REST API - Figma API
• Model Context Protocol SDK - MCP implementation
• Zod - Schema validation
• Express - HTTP server