What is mohammeduvaiz figma mcp server
Figma MCP Server
A Model Context Protocol (MCP) server that connects to Figma's API, allowing AI tools and LLMs to access and work with your Figma designs.
Features
- Design Data Extraction: Extract components, styles, and text from your Figma designs
- Design System Analysis: Analyze design system consistency and patterns
- UI Content Management: Extract and organize all UI copy from designs
- Development Handoff: Generate comprehensive documentation for developers
- Seamless AI Integration: Connect your designs to AI tools like Claude, Cursor, and other MCP-compatible clients
Getting Started
Prerequisites
- Node.js 16 or higher
- Figma Personal Access Token (Get it from your Figma account settings)
Installation
-
Clone the repository:
git clone https://github.com/yourusername/figma-mcp-server.git cd figma-mcp-server
-
Install dependencies:
npm install
-
Create a
.env
file in the project root:FIGMA_API_TOKEN=your_figma_personal_access_token API_KEY=your_secure_api_key TRANSPORT_TYPE=stdio
-
Build the server:
npm run build
-
Start the server:
npm start
Connecting to Clients
Claude for Desktop
-
Open or create the Claude for Desktop configuration file:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json
- Windows:
%APPDATA%\Claude\claude_desktop_config.json
- macOS:
-
Add the following configuration:
{ "mcpServers": { "figma": { "command": "node", "args": ["/absolute/path/to/figma-mcp-server/build/index.js"], "env": { "FIGMA_API_TOKEN": "your_figma_personal_access_token", "TRANSPORT_TYPE": "stdio" } } } }
-
Restart Claude for Desktop
Cursor
Global Configuration
Create or edit Cursor's MCP configuration file:
- macOS:
~/Library/Application Support/Cursor/mcp.json
- Windows:
%APPDATA%\Cursor\mcp.json
{
"mcpServers": {
"figma-mcp": {
"url": "http://localhost:3000/sse",
"env": {
"API_KEY": "your_secure_api_key"
}
}
}
}
Project-Specific Configuration
-
Create a
.cursor
directory in your project root:mkdir -p .cursor
-
Create an
mcp.json
file inside that directory:{ "mcpServers": { "figma-mcp": { "url": "http://localhost:3000/sse", "env": { "API_KEY": "your_secure_api_key" } } } }
Available Tools
Tool | Description |
---|---|
get-file-info |
Get basic information about a Figma file |
get-nodes |
Get specific nodes from a Figma file |
get-components |
Get component information from a Figma file |
get-styles |
Get style information from a Figma file |
get-comments |
Get comments from a Figma file |
search-file |
Search for elements in a Figma file by type, name, etc. |
extract-text |
Extract all text elements from a Figma file |
Available Prompts
analyze-design-system
- Analyze design system components and styles for consistencyextract-ui-copy
- Extract and organize all UI copy from designsgenerate-dev-handoff
- Generate development handoff documentation based on designs
Usage Examples
Using with Claude:
Can you analyze the design system in my Figma file with key abc123? Look for consistency in color usage and typography.
Using with Cursor:
Generate React components for the buttons from my Figma file with key abc123, using tailwind CSS.
Environment Variables
Variable | Description | Default |
---|---|---|
FIGMA_API_TOKEN |
Your Figma Personal Access Token | (Required) |
API_KEY |
Security key for API authentication | (Required) |
TRANSPORT_TYPE |
Transport method (stdio or sse ) |
stdio |
PORT |
Port for SSE transport | 3000 |
Architecture
This MCP server:
- Connects to the Figma API using your personal access token
- Exposes a standardized interface following the Model Context Protocol
- Provides tools, resources, and prompts that LLMs can use to interact with your Figma designs
- Supports both stdio transport (local connections) and SSE transport (remote connections)
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
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Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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