Demo Ai MCP

🚀 Figma Context Model Coordination Protocol (MCP) Server

The Figma MCP Server is a powerful tool that bridges the gap between Figma design and AI coding assistants. By implementing a structured communication protocol, it enables designers and developers to automate tasks, reduce repetitive work, and achieve high precision when converting designs into code.

📋 Overview

The Figma MCP Server is a powerful tool that bridges the gap between Figma design and AI coding assistants. By implementing a structured communication protocol, this server enables designers and developers to automate tasks, reduce repetitive work, and achieve high precision when converting designs into code. For those looking to improve the efficiency of API development and design workflows, integrating the Figma MCP Server is a worthy consideration.

❓ What is Figma MCP?

The Figma MCP (Model Context Protocol) Server connects Figma design files with AI coding tools that support MCP, such as Cursor IDE. The server achieves this by subscribing to Figma design events and transmitting this information in real-time to AI tools to facilitate efficient task execution.

⚙️ How It Works

1. Retrieve Figma Design Data: When there are new designs or changes in Figma, the MCP Server subscribes to these changes and captures the relevant JSON data.
2. Analyze and Process Data: The server parses the captured design data and generates corresponding context information as needed.
3. Transmit to AI Tools: The processed data is sent to connected AI tools (e.g., Cursor) for tasks such as code generation and component creation.

🚀 Quick Start Guide

📦 Installation Steps

1. Clone the repository:

   git clone https://github.com/GLips/Figma-Context-MCP.git
   cd Figma-Context-MCP
   

2. Install dependencies:

   pnpm install
   

3. Configure environment variables:
   • Copy config/.env.example to config/.env.
   • Replace the placeholder values with your actual Figma API token.
4. Start the server:

   pnpm run dev
   

⚙️ Configuration Instructions

• Environment Variables: Set FIGMA_API_TOKEN and the optional PORT (default port is 3333) in the .env file.
• Command-Line Arguments: You can use command-line options such as --figma-api-key and --port, which take precedence over environment variables.

🔗 Integration Guide

1. Start the server and ensure it's running:
   • Run the installation commands in the terminal to confirm the server status.
2. Add the MCP Server to your AI tool:
   • For Cursor IDE, follow these steps:
     1. Open the application and navigate to the "Settings > MCP" section.
     2. Click "Add New MCP Server" and enter a name (e.g., "Figma MCP").
     3. Select the "SSE (Server-Sent Events)" option and enter the server URL (usually http://localhost:3333).
3. Verify the connection status:
   • A green status indicator means the connection is successful, while red indicates troubleshooting is required.
4. Work with Figma design files:
   • Select the desired designs in Figma and group components as needed.
   • Use the "Copy Link to Selection" feature to get the design link. Paste this link in Cursor Composer (with Agent mode enabled) to trigger AI tasks such as generating React code, creating reusable UI components, or optimizing layouts.

💡 Additional Tips and Features

• MCP Inspection Tool:

  pnpm inspect
  

  Run this command in a new terminal to launch the MCP Inspector web interface, which allows you to view available tools, trigger calls, and verify responses.

• Available Tools:

  • get_file: Retrieve detailed information about a Figma file.
  • get_node: Get data for a specific node in a Figma file.

• Core Features:

  • MCP Standard Compliance: Ensures compatibility with various LLM applications.
  • Type-Safe Implementation: Built with TypeScript for a robust and maintainable code structure.
  • Custom URI Scheme: Supports custom URIs for easy management of design assets.
  • Error Handling and Validation: Provides a robust error-handling mechanism for stable operation.
  • Batch Processing: Capable of efficiently handling multiple design elements.

🌟 Conclusion

The Figma MCP Server successfully connects Figma designs with AI coding assistants through its structured communication protocol. It not only helps designers and developers automate workflows but also significantly improves the accuracy and efficiency of task execution. For those looking to optimize API development and design workflows, integrating the Figma MCP Server is definitely a worthy option.

By subscribing to Figma design events and transmitting data to AI tools in real-time, the server plays a crucial role in facilitating efficient code generation, component creation, and more. Whether for simple projects or complex development tasks, the Figma MCP Server demonstrates its powerful functionality and flexibility, serving as an important bridge between the design and coding worlds.