MCP server providing Figma layout information for AI programming assistants, allowing tools like Cursor to directly access Figma design data.

Figma Context MCP Project Details

Project Overview

Figma Context MCP is a server based on the Model Context Protocol (MCP), specifically designed to provide AI programming assistants (such as Cursor) with layout information and metadata from Figma design files. The core objective of this project is to enable AI tools to directly access Figma design data, thereby achieving more accurate design-to-code conversion.

Project Address: https://github.com/GLips/Figma-Context-MCP

Core Features

1. Design Data Acquisition

• Directly retrieves layout information from Figma API
• Extracts key style and structure data
• Supports access to Figma files, frames, and groups

2. Intelligent Data Processing

• Simplifies and transforms Figma API responses
• Provides only the most relevant layout and style information to the AI model
• Reduces context data volume, improving AI response accuracy

3. AI Tool Integration

• Designed specifically for AI programming tools like Cursor
• Supports communication with various AI clients via the MCP protocol
• Enables one-click conversion from design files to code

How It Works

graph LR
    A[User pastes Figma link in IDE] --> B[MCP Server]
    B --> C[Figma API]
    C --> D[Get Design Data]
    D --> B
    B --> E[Data Simplification]
    E --> F[AI Programming Assistant]
    F --> G[Generate Code]

1. User Action: Paste a link to a Figma file, frame, or group in an IDE (such as Cursor)
2. Request Handling: The MCP server receives the request and calls the Figma API
3. Data Acquisition: Retrieves relevant design metadata from Figma
4. Data Optimization: The server simplifies and transforms the data, retaining only the most important layout and style information
5. AI Generation: The AI tool generates corresponding code based on the optimized design data

Technical Features

Advantages

• High Accuracy: Compared to alternatives like screenshots, using actual design data significantly improves the accuracy of AI-generated code
• One-Click Implementation: Supports accurate "one-time" design implementation, eliminating the need for multiple rounds of debugging
• Data Optimization: Intelligently filters unnecessary information, improving AI processing efficiency
• Professional Integration: Specifically optimized for professional AI programming tools like Cursor

Technical Architecture

• Based on the Model Context Protocol (MCP) standard
• Deeply integrated with the Figma REST API
• Supports various AI clients and code editors

Installation and Configuration

Prerequisites

• Requires creating a Figma access token
• Supports MCP-enabled AI programming tools (such as Cursor)

Configuration Steps

1. Obtain Figma API Access Token

   • Visit the Figma developer settings page
   • Generate a personal access token

2. Configure MCP Server

   {
     "mcpServers": {
       "figma-developer-mcp": {
         "command": "node",
         "args": ["path/to/figma-context-mcp"],
         "env": {
           "FIGMA_ACCESS_TOKEN": "your-figma-token"
         }
       }
     }
   }
   

3. IDE Integration

   • Add the configuration to the editor's MCP configuration file
   • Restart the editor to load the server

Usage

1. Open the IDE chat interface (e.g., Cursor's agent mode)
2. Paste the Figma link (link to a file, frame, or group)
3. Issue a command: Ask the AI to implement a feature based on the Figma design
4. Get the result: The AI will automatically retrieve the design data and generate the corresponding code

Example Use Case

User: "Please implement a login page based on this Figma design: [Figma Link]"
AI: [Automatically retrieves design data] → [Generates complete HTML/CSS/JS code]

Applicable Scenarios

Developers

• Front-end developers quickly implement UI designs
• Codification of design systems
• Conversion of prototypes to production code

Designers

• Validate the feasibility of designs
• Seamless transition from design to development
• Codification of design specifications

Team Collaboration

• Reduce design-development communication costs
• Improve design fidelity
• Accelerate product iteration cycles

Project Significance

Figma Context MCP represents a new trend in the integration of design tools and AI programming assistants. It not only improves the accuracy and efficiency of design-to-code conversion but also provides strong technical support for design-driven development processes.

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Note: This project is in active development, and features and configurations may be updated. It is recommended to follow the project's GitHub page for the latest information.