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@rui.branco/figma-mcp

v1.0.2

Published

Figma MCP server for Claude Code - fetch designs, export frames, and view specs

Downloads

477

Readme

Figma MCP Server

A Model Context Protocol (MCP) server that brings Figma designs directly into Claude Code. View design specifications, export frames as images, and reference visual context without leaving your development environment.

Overview

Implementing designs accurately requires constant reference to Figma. This MCP server eliminates context switching by:

  • Fetching design information - Get file names, frame details, and dimensions
  • Exporting images - Download frames as high-resolution PNGs
  • Smart section splitting - Large frames are automatically split into readable sections
  • Seamless integration - Works standalone or integrated with jira-mcp

Features

| Feature | Description | |---------|-------------| | Design Info | File name, last modified, frame dimensions | | Image Export | Export frames as PNG, SVG, JPG, or PDF | | Auto-Scaling | 2x scale by default for retina clarity | | Section Detection | Large frames split into individual sections | | Batch Export | Export multiple frames efficiently | | URL Parsing | Supports file, design, and prototype URLs |

Installation

Prerequisites

  • Node.js 18+
  • Claude Code CLI
  • Figma account with API access

Step 1: Add to Claude Code

claude mcp add --transport stdio figma -- npx -y @rui.branco/figma-mcp

Step 2: Get Your Figma Token

  1. Go to Figma Account Settings
  2. Scroll down to "Personal access tokens"
  3. Click "Generate new token"
  4. Enter a description (e.g., "Claude Code MCP")
  5. Click "Generate token"
  6. Copy the token (you won't be able to see it again)

Step 3: Configure Credentials

Run the setup with your token:

npx @rui.branco/figma-mcp setup "YOUR_FIGMA_TOKEN"

Or run interactively (will prompt for the token):

npx @rui.branco/figma-mcp setup

Step 4: Verify

Restart Claude Code and run /mcp to verify the server is connected.

Alternative: Manual Installation

If you prefer to install manually:

git clone https://github.com/rui-branco/figma-mcp.git ~/.config/figma-mcp
cd ~/.config/figma-mcp && npm install
node setup.js

Then add to Claude Code:

claude mcp add --transport stdio figma -- node $HOME/.config/figma-mcp/index.js

Usage

Fetch a Design

> Get this Figma design: https://www.figma.com/design/ABC123/MyProject?node-id=1-234

Example Output

# Figma File: MyProject

**Last Modified:** 2025-01-15T10:30:00Z

## Selected Frame: Login Screen

**Type:** FRAME
**Size:** 1440 x 900

### Sections (4):
- **Header** (FRAME, 1440x80)
- **Login Form** (FRAME, 400x350)
- **Footer** (FRAME, 1440x60)
- **Background** (FRAME, 1440x900)

### Exported Sections:
- Header: ~/.config/figma-mcp/exports/ABC123_1_234.png
- Login Form: ~/.config/figma-mcp/exports/ABC123_1_235.png
- Footer: ~/.config/figma-mcp/exports/ABC123_1_236.png

[Images displayed inline]

Smart Section Export

For large frames (>1500px wide or >2000px tall), the server automatically:

  1. Detects child frames, components, and groups
  2. Exports each section separately at 2x scale
  3. Provides better detail than a single compressed image
  4. Limits to 10 sections by default (configurable)

This is especially useful for:

  • Full-page designs with multiple sections
  • Component libraries
  • Design system documentation

API Reference

Tools

| Tool | Description | Parameters | |------|-------------|------------| | figma_get_design | Fetch design from URL | url (required), exportImage, exportChildren, maxChildren, scale | | figma_export_frame | Export specific frame | fileKey, nodeId (required), format, scale |

Parameters

| Parameter | Default | Description | |-----------|---------|-------------| | exportImage | true | Export images | | exportChildren | true | Split large frames into sections | | maxChildren | 10 | Maximum sections to export | | scale | 2 | Export scale (1-4) | | format | png | Export format (png, svg, jpg, pdf) |

Configuration

Config stored at ~/.config/figma-mcp/config.json:

{
  "token": "YOUR_FIGMA_TOKEN"
}

Error Handling

The server provides clear error messages:

| Error | Meaning | Solution | |-------|---------|----------| | Rate limit exceeded | Too many API requests | Wait a few minutes | | Access denied | Invalid token or no file access | Check token permissions | | File not found | Invalid URL or deleted file | Verify the Figma URL |

Integration with Jira MCP

When used alongside jira-mcp:

  1. Figma links in Jira tickets are automatically detected
  2. Designs are fetched without manual intervention
  3. Images appear inline with ticket context

This creates a seamless workflow:

> Get ticket PROJ-123

# Returns ticket details + auto-fetched Figma designs

Security

  • Tokens stored locally in ~/.config/figma-mcp/config.json
  • Config excluded from git via .gitignore
  • Tokens only transmitted to Figma API
  • Exports saved to ~/.config/figma-mcp/exports/

License

MIT

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