I. Introduction to Figma MCP

Figma-MCP is a server that implements the Model Context Protocol, providing standardized context information for AI to directly access and understand Figma design resources. This integration opens up new possibilities for designers and developers:

  • Automating design-to-code conversion workflows with AI and Figma-MCP
  • Intelligently generating UI components based on designs
  • Significantly improving team collaboration efficiency
  • Reducing communication costs between design and development
The Value of MCP
MCP (Model Context Protocol) is an open-source technology released by Anthropic in November 2024, designed to significantly expand LLM capabilities by allowing them to interact with external tools and resources. It’s particularly valuable for building AI agents.

II. Technical Principles of Figma-MCP

MCP Protocol Core Architecture

The MCP Protocol is essentially a standardized interface that allows LLMs to understand and operate on data and functionality from external applications (like Figma). This protocol provides a structured data exchange framework, enabling AI tools to “see” and “understand” design elements.

The power of MCP lies in its universality and extensibility. Through a unified interface, different AI tools can access Figma resources in the same way, without needing to develop separate integration solutions for each tool.

Deep Integration with Figma API

The Figma-MCP server connects to Figma’s official API, providing these key functions:

  1. Resource Access: Allows AI tools to read Figma files, layers, components, and styles
  2. Structure Recognition: Enables AI to understand the hierarchical structure and organization of designs
  3. Property Extraction: Automatically retrieves design specifications like colors, fonts, and spacing

This integration supports read operations, allowing AI tools to extract design information and generate deep insights without modifying the original design files, ensuring the security of design assets.

AI-Driven Design Automation Workflows

Through Figma-MCP, designers and developers can implement various automation workflows:

  • Code Generation: Automatically generate component code for frameworks like React and Vue based on designs
  • Style Extraction: Automatically create CSS/SCSS variables or Tailwind configurations
  • Component Library Building: Convert design systems into reusable code component libraries
  • Design Optimization Suggestions: AI analyzes designs and provides improvement recommendations
Real Application Scenario
After designers complete the UI design, developers only need to copy the Figma design link and paste it into an MCP-supported AI tool to obtain precise code that implements the design, eliminating the need for manual measurement and copying of design specifications.

III. Setting Up Figma-MCP Environment

System and Account Preparation

Before starting with Figma-MCP, ensure you have the following prerequisites:

  • Node.js (v16.0 or higher)
  • npm (v7.0 or higher) or pnpm (v8.0 or higher)
  • Figma account: Professional or Enterprise version recommended
  • Figma API access token: With read permissions
RequirementMinimum VersionRecommended Version
Node.jsv16.0v18.0+
npm/pnpmv7.0/v8.0Latest version
Figma accountFree versionProfessional version

Obtaining a Figma API Access Token

The Figma API token is key to connecting the MCP server with your Figma account. Here are the detailed steps to obtain it:

  1. Log in to Figma
  2. Access Personal Settings: Click on your profile avatar in the sidebar, then select “Settings” 20250330131133
  3. Find Security Options: In the settings menu, navigate to the “Security” tab
  4. Generate Access Token:
    • Scroll to the “Personal Access Tokens” section
    • Click “Generate New Token”
    • Provide a descriptive name for the token (e.g., “Figma_MCP_Integration”)
    • Click “Create” to generate the token 20250330131249
  5. Securely Save the Token: Figma will only display the token once, so copy and store it securely 20250330131329

Figma-MCP Installation Methods

Depending on your needs, you can choose one of the following two installation methods:

This is the simplest method, no need to clone the code repository:

npx figma-mcp --figma-api-key=<your-figma-api-key>

You can also use pnpx, yarn dlx, or bunx to perform the same operation.

Method 2: Install from Source Code

For users who need customization or want to contribute code:

# Clone the repository
git clone https://github.com/1yhy/Figma-Context-MCP

# Enter the project directory
cd Figma-Context-MCP

# Install dependencies
pnpm install

# Configure environment
cp .env.example .env
# Edit the .env file to add your Figma API token

# Start the server
pnpm run dev

Server Configuration Options

There are two main ways to configure the Figma-MCP server:

1. Environment Variables: Set the following variables in the .env file:

FIGMA_API_KEY=your_api_token_here
PORT=3333  # Optional, default is 3333

2. Command Line Arguments: Pass parameters directly when starting:

npx figma-mcp --figma-api-key=your_api_token_here --port=3333

Command line arguments take precedence over environment variables, making them suitable for temporary configuration changes.

IV. Integrating Figma-MCP with Cursor

Cursor IDE Connection Configuration

1. Confirm MCP Server Status

First, ensure your Figma-MCP server is running and listening on the correct port (default is 3333). You can verify the server status by accessing http://localhost:3333 in your browser.

2. Add MCP Server in Cursor

  1. Launch Cursor IDE
  2. Open the settings menu (usually in the top right corner or via keyboard shortcut)
  3. Navigate to the MCP settings section
  4. Click Add New MCP Server
  5. Fill in the server information:
    • Name: Any descriptive name (like “Figma MCP”)
    • Type: Select SSE (Server-Sent Events)
    • URL: Enter the server address (e.g., http://localhost:3333)
  6. Save the settings 20250330131903
# For MCP Client
{
  "mcpServers": {
    "Figma MCP": {
      "command": "npx",
      "args": ["figma-mcp", "--figma-api-key=<your-figma-api-key>", "--stdio"]
    }
  }
}
# For local use
{
  "mcpServers": {
    "Figma MCP": {
      "url": "http://localhost:3333/sse",
      "env": {
        "API_KEY": "<your-figma-api-key>"
      }
    }
  }
}

After successful connection, a green status indicator will appear next to the server name. A red indicator signals connection failure, requiring you to check your configuration or server status. 20250330131738

Using Figma-MCP to Generate Code

  1. Open your Figma project and select the design element you want to implement
  2. Right-click on the selected design > Choose Copy/Paste As > Select Copy Link to Selection
  3. This link contains the exact reference to the design, allowing AI to access it through MCP 20250330132054

Using Cursor Composer to Generate Code

  1. Open the Composer panel in Cursor
  2. Enable Agent Mode (this allows the AI to use tools, including the MCP server)
  3. Paste the previously copied Figma link
  4. Enter specific instructions, such as:
    • “Implement this design using React and Tailwind CSS”
    • “Generate Vue 3 code for this navigation bar component”
    • “Analyze this design and create a component library structure”

Cursor will access the Figma design through the MCP server, analyze its structure, styles, and properties, and then generate code that meets the design specifications. 20250330132438

Design File Standardization
If the design file has disorganized order and structure, Cursor’s rendering may be average. Consider manual intervention by merging layers, removing unnecessary nodes, and combining images to ensure design standardization, which will result in better Cursor rendering.

Figma-MCP Interface Response Format

The JSON format returned by the MCP tool for design files is as follows. After Cursor receives it, it generates code based on the design:

{
  // Basic design file information
  "name": "Design file name",
  "lastModified": "Last modified time",
  "thumbnailUrl": "Thumbnail URL",

  // Node array containing all page elements
  "nodes": [
    {
      // Basic node information
      "id": "Node ID, e.g., 1:156",
      "name": "Node name",
      "type": "Node type, such as FRAME, TEXT, RECTANGLE, GROUP, etc.",

      // Text content (only for text nodes)
      "text": "Content of the text node",

      // CSS style object containing all style properties of the node
      "cssStyles": {
        // Size and position
        "width": "100px",
        "height": "50px",
        "position": "absolute",
        "left": "10px",
        "top": "20px",

        // Text styles (mainly for TEXT nodes)
        "fontFamily": "Inter",
        "fontSize": "16px",
        "fontWeight": 500,
        "textAlign": "center",
        "lineHeight": "24px",
        "color": "#333333",

        // Background and border
        "backgroundColor": "#ffffff",
        "borderRadius": "8px",
        "border": "1px solid #eeeeee",

        // Effects
        "boxShadow": "0px 4px 8px rgba(0, 0, 0, 0.1)",

        // Other CSS properties...
      },

      // Fill information (gradients, images, etc.)
      "fills": [
        {
          "type": "SOLID",
          "color": "#ff0000",
          "opacity": 0.5
        }
      ],

      // Export information (for image and SVG nodes)
      "exportInfo": {
        "type": "IMAGE",
        "format": "PNG",
        "nodeId": "Node ID",
        "fileName": "suggested-file-name.png"
      },

      // Child nodes
      "children": [
        // Recursive node objects...
      ]
    }
  ]
}

Built-in Tools

The server provides the following MCP tools:

get_figma_data Retrieves information about a Figma file or specific node.

Parameters:

  • fileKey: The key of the Figma file
  • nodeId: Node ID (strongly recommended)
  • depth: Depth to traverse the node tree

download_figma_images Downloads images and icon resources from a Figma file.

Parameters:

  • fileKey: The key of the Figma file containing the nodes
  • nodes: Array of image nodes to fetch
  • localPath: Directory path in the project to store images