Design · MODEL CONTEXT PROTOCOL
nguyenlegravityglobal figma mcp
nguyenlegravityglobal figma mcp is a community-listed Model Context Protocol server. Review the source repository before installation.
WHAT IT CONNECTS
What nguyenlegravityglobal figma mcp gives an AI Agent
The source catalog does not include a structured feature list. Review the repository documentation before use.
SECURITY
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README
Repository documentation
Gravity Global Figma MCP is a tool that integrates Figma with Cursor through the Model Context Protocol (MCP), allowing you to retrieve and optimize design data from Figma for code conversion.
- Figma Data Retrieval: Get design information from Figma files using URLs or file IDs
- Data Optimization: Reduce JSON size by removing unnecessary properties
- CSS Conversion: Automatically divide and organize styles into groups (typography, colors, layouts...)
- CSS Class Name Generation: Automatically create meaningful class names based on properties
- Design Tokens Extraction: Extract typography and color tokens from Figma designs
- Clone the repository:
git clone <repository-url>
- Install dependencies:
npm install
- Create a
.envfile and add your Figma API token:
FIGMA_API_KEY=your_figma_api_token_here
- Run the MCP server:
node index.js
You can use the following tools through Cursor Chat:
Get data from Figma URL https://www.figma.com/file/abc123/my-design?node-id=123-456
Result: The MCP will return optimized Figma data.
Extract typography and color tokens from Figma URL https://www.figma.com/file/abc123/my-design
Result: The MCP will return a JSON object containing typography and color tokens extracted from the Figma design.
Example response:
{
"typography": {
"opensans-600-32": {
"fontFamily": "Open Sans",
"fontSize": "32px",
"fontWeight": 600,
"lineHeight": "48px"
},
"avenirnext-400-16": {
"fontFamily": "Avenir Next",
"fontSize": "16px",
"fontWeight": 400,
"lineHeight": "24px"
}
},
"colors": {
"bg-ffffff": "#ffffff",
"text-030e12": "#030e12"
}
}-
figmaDesign tool:
- fullJson=true: Returns full uncompressed JSON data
- cleanData=true: Removes unnecessary properties for HTML/CSS rendering
-
figmaTokens tool:
- tokenTypes=["typography"]: Only extract typography tokens
- tokenTypes=["colors"]: Only extract color tokens
- tokenTypes=["typography", "colors"]: Extract both (default)
Example:
Extract only color tokens from Figma URL https://www.figma.com/file/abc123/my-design
The converted Figma data has the following structure:
{
"nodes": {
"nodeId": {
"id": "nodeId",
"name": "Node Name",
"type": "FRAME",
"fillStyleId": "style123",
"layoutStyleId": "style456",
"children": [...]
}
},
"styles": {
"style123": {
"backgroundColor": "#ffffff",
"opacity": 1,
"categories": { "colors": "color1" }
}
},
"optimizedStyles": {
"typography": {...},
"colors": {...},
"layout": {...},
"spacing": {...},
"sizing": {...}
},
"classNames": {
"style123": "bg-1",
"style456": "flex-row-1"
}
}The tool uses the Figma REST API to fetch design data. It supports URLs from both regular files and new design URLs. You can specify a particular node using node-id.
The optimization process includes these steps:
- Removing unnecessary properties
- Dividing styles into groups (typography, colors, layout...)
- Merging similar styles to reduce duplication
- Automatically generating CSS class names
The token extraction process:
- Identifies typography and color styles used in the design
- Creates standardized naming conventions for each token
- Groups tokens by type (typography or colors)
- Removes duplicates and organizes them for easy integration with design systems
- MCP has limitations on the size of returned data; large files will be saved to the
figma_datadirectory - Complex vector properties are not fully preserved
- Complex gradients and effects may require additional processing
MIT License
COMMUNITY