Figma Sparrow MCP connects AI assistants (like Claude) to Figma, enabling:
- π Plugin debugging - Capture console logs, errors, and stack traces
- πΈ Visual debugging - Take screenshots for context
- π¨ Design system extraction - Pull variables, components, and styles
- βοΈ Design creation - Create UI components, frames, and layouts directly in Figma
- π§ Variable management - Create, update, rename, and delete design tokens
- β‘ Real-time monitoring - Watch logs as plugins execute
- π Local Git install - Clone the repo and run locally for full control
Best for: Developers who want to modify source code or contribute to the project.
What you get: Full toolset plus source code access.
# Clone and build
git clone https://github.com/TrueSparrowSystems/figma-sparrow-mcp.git
cd figma-sparrow-mcp
npm install
npm run build:localAdd to your config file:
{
"mcpServers": {
"figma-sparrow": {
"command": "node",
"args": ["/absolute/path/to/figma-sparrow-mcp/dist/local.js"],
"env": {
"FIGMA_ACCESS_TOKEN": "figd_YOUR_TOKEN_HERE",
"ENABLE_MCP_APPS": "true",
// optional
"FIGMA_READ_ONLY": "true"
}
}
}
}The Figma Sparrow Bridge plugin is the recommended way to connect Figma to the MCP server. It communicates via WebSocket β no special Figma launch flags needed, and it persists across Figma restarts.
- Open Figma Desktop (normal launch β no debug flags needed)
- Go to Plugins β Development β Import plugin from manifest...
- Select
figma-sparrow-bridge/manifest.jsonfrom the figma-sparrow-mcp directory - Run the plugin in your Figma file β it auto-connects via WebSocket (scans ports 9223β9232)
- Ask your AI: "Check Figma status" to verify the connection
One-time import. Once imported, the plugin stays in your Development plugins list. Just run it whenever you want to use the MCP.
After setup, try these prompts:
Basic test (local mode):
Navigate to https://www.figma.com and check status
Design system test (requires auth):
Get design variables from [your Figma file URL]
Plugin test (Local Mode only):
Show me the primary font for [your theme name]
- Visit https://help.figma.com/hc/en-us/articles/8085703771159-Manage-personal-access-tokens
- Generate token
- Add to MCP config as
FIGMA_ACCESS_TOKENenvironment variable
figma_navigate- Open Figma URLsfigma_get_status- Check connection status
figma_get_console_logs- Retrieve console logsfigma_watch_console- Real-time log streamingfigma_clear_console- Clear log bufferfigma_reload_plugin- Reload current page
figma_take_screenshot- Capture UI screenshots
figma_get_variables- Extract design tokens/variablesfigma_get_component- Get component data (metadata or reconstruction spec)figma_get_component_for_development- Component + imagefigma_get_component_image- Just the imagefigma_get_styles- Color, text, effect stylesfigma_get_file_data- Full file structurefigma_get_file_for_plugin- Optimized file data
figma_execute- Power tool: Run any Figma Plugin API code to create designs- Create frames, shapes, text, components
- Apply auto-layout, styles, effects
- Build complete UI mockups programmatically
figma_arrange_component_set- Organize variants into professional component sets- Convert multiple component variants into a proper Figma component set
- Applies native purple dashed border visualization automatically
- Creates white container frame with title, row labels, and column headers
- Row labels vertically centered with each grid row
- Column headers horizontally centered with each column
- Use natural language like "arrange these variants" or "organize as component set"
figma_set_description- Document components with rich descriptions- Add descriptions to components, component sets, and styles
- Supports markdown formatting for rich documentation
- Descriptions appear in Dev Mode for developers
figma_check_design_parity- Compare Figma component specs against code implementation, producing a scored diff report with actionable fix itemsfigma_generate_component_doc- Generate platform-agnostic markdown documentation by merging Figma design data with code-side info
figma_create_variable_collection- Create new variable collections with modesfigma_create_variable- Create COLOR, FLOAT, STRING, or BOOLEAN variablesfigma_update_variable- Update variable values in specific modesfigma_rename_variable- Rename variables while preserving valuesfigma_delete_variable- Delete variablesfigma_delete_variable_collection- Delete collections and all their variablesfigma_add_mode- Add modes to collections (e.g., "Dark", "Mobile")figma_rename_mode- Rename existing modesfigma_batch_create_variables- Create up to 100 variables in one call (10-50x faster)figma_batch_update_variables- Update up to 100 variable values in one callfigma_setup_design_tokens- Create complete token system (collection + modes + variables) atomically
π Detailed Tool Documentation
Navigate to my Figma plugin and show me any console errors
Watch the console for 30 seconds while I test my plugin
Get the last 20 console logs
Get all design variables from https://figma.com/design/abc123
Extract color styles and show me the CSS exports
Get the Button component with a visual reference image
Get the Badge component in reconstruction format for programmatic creation
Create a success notification card with a checkmark icon and message
Design a button component with hover and disabled states
Build a navigation bar with logo, menu items, and user avatar
Create a modal dialog with header, content area, and action buttons
Arrange these button variants into a component set
Organize my icon variants as a proper component set with the purple border
Create a new color collection called "Brand Colors" with Light and Dark modes
Add a primary color variable with value #3B82F6 for Light and #60A5FA for Dark
Rename the "Default" mode to "Light Theme"
Add a "High Contrast" mode to the existing collection
Compare the Button component in Figma against our React implementation
Check design parity for the Card component before sign-off
Generate component documentation for the Dialog from our design system
Take a screenshot of the current Figma canvas
Navigate to this file and capture what's on screen
β οΈ Local Mode Only: This feature requires the Sparrow Bridge plugin and only works with Local Git installation.
One of the most powerful capabilities of this MCP server is the ability to design complete UI components and pages directly in Figma through natural language conversation with any MCP-compatible AI assistant like Claude Desktop or Claude Code.
Create original designs from scratch:
Design a login card with email and password fields, a "Forgot password?" link,
and a primary Sign In button. Use 32px padding, 16px border radius, and subtle shadow.
Leverage existing component libraries:
Build a dashboard header using the Avatar component for the user profile,
Button components for actions, and Badge components for notifications.
Generate complete page layouts:
Create a settings page with a sidebar navigation, a main content area with form fields,
and a sticky footer with Save and Cancel buttons.
- You describe what you want in plain English
- The AI searches your component library using
figma_search_componentsto find relevant building blocks - Components are instantiated with proper variants and properties via
figma_instantiate_component - Custom elements are created using the full Figma Plugin API via
figma_execute - Visual validation automatically captures screenshots and iterates until the design looks right
| Role | Use Case |
|---|---|
| Designers | Rapidly prototype ideas without manual frame-by-frame construction. Explore variations quickly by describing changes. |
| Developers | Generate UI mockups during planning discussions. Create visual specs without switching to design tools. |
| Product Managers | Sketch out feature concepts during ideation. Communicate visual requirements directly to stakeholders. |
| Design System Teams | Test component flexibility by generating compositions. Identify gaps in component coverage. |
| Agencies | Speed up initial concept delivery. Iterate on client feedback in real-time during calls. |
Brand New Design:
"Create a notification toast with an icon on the left, title and description text, and a dismiss button. Use our brand colors."
The AI creates custom frames, applies your design tokens, and builds the component from scratch.
Component Composition:
"Build a user profile card using the Avatar component (large size), two Button components (Edit Profile and Settings), and a Badge for the user's status."
The AI searches your library, finds the exact components, and assembles them with proper spacing and alignment.
Design Iteration:
"The spacing feels too tight. Increase the gap between sections to 24px and make the heading larger."
The AI modifies the existing design, takes a screenshot to verify, and continues iterating until you're satisfied.
The AI automatically follows a validation workflow after creating designs:
- Create β Execute the design code
- Screenshot β Capture the result
- Analyze β Check alignment, spacing, and visual balance
- Iterate β Fix any issues detected
- Verify β Final screenshot to confirm
This ensures designs aren't just technically correctβthey look right.
- The MCP server communicates via WebSocket through the Sparrow Bridge plugin
- The server tries port 9223 first, then automatically falls back through ports 9224β9232 if needed
- The plugin scans all ports in the range and connects to every active server it finds
- All 56+ tools work through the WebSocket transport
Multiple files: The WebSocket server supports multiple simultaneous plugin connections β one per open Figma file. Each connection is tracked by file key with independent state (selection, document changes, console logs).
Environment variables:
FIGMA_WS_PORTβ Override the preferred WebSocket port (default: 9223). The server will fall back through a 10-port range starting from this value if the preferred port is occupied.FIGMA_WS_HOSTβ Override the WebSocket server bind address (default:localhost). Set to0.0.0.0when running inside Docker so the host machine can reach the MCP server.
Plugin Limitation: Only works in Local Git mode.
Figma Sparrow MCP includes support for MCP Apps β rich interactive UI experiences that render directly inside any MCP client that supports the MCP Apps protocol extension. Built with the official @modelcontextprotocol/ext-apps SDK.
What are MCP Apps? Traditional MCP tools return text or images to the AI. MCP Apps go further β they render interactive HTML interfaces inline in the chat, allowing users to browse, filter, and interact with data directly without consuming AI context.
An interactive design token explorer.
Usage: Ask Claude to "browse the design tokens" or "show me the design tokens" while connected to a Figma file.
Features:
- Browse all tokens organized by collection with expandable sections
- Filter by type (Colors, Numbers, Strings) and search by name/description
- Per-collection mode columns (Light, Dark, Custom) matching Figma's Variables panel
- Color swatches, alias resolution, and click-to-copy on any value
- Works without Enterprise plan via Sparrow Bridge (local mode)
A Lighthouse-style health scorecard that audits your design system across six categories.
Usage: Ask Claude to "audit the design system" or "show me design system health" while connected to a Figma file.
Features:
- Overall weighted score (0β100) with six category gauges: Naming, Tokens, Components, Accessibility, Consistency, Coverage
- Expandable category sections with individual findings, severity indicators, and actionable details
- Diagnostic locations linking findings to specific variables, components, or collections
- Tooltips explaining each check's purpose and scoring criteria
- Refresh button to re-run the audit without consuming AI context
- Pure scoring engine with no external dependencies β all analysis runs locally
Enabling MCP Apps:
MCP Apps are enabled by default in the setup configurations above (via "ENABLE_MCP_APPS": "true"). If you set up before v1.10.0 and don't have this in your config, add it to your env section:
"env": {
"FIGMA_ACCESS_TOKEN": "figd_YOUR_TOKEN_HERE",
"ENABLE_MCP_APPS": "true"
}Note: MCP Apps require an MCP client with ext-apps protocol support (e.g. Claude Desktop). This feature is experimental and the protocol may evolve.
- Architecture - How it works under the hood
- Troubleshooting - Common issues and solutions
git clone https://github.com/TrueSparrowSystems/figma-sparrow-mcp.git
cd figma-sparrow-mcp
npm install
# Local mode development
npm run dev:local
# Cloud mode development
npm run dev
# Build
npm run buildπ Development Guide