cursor-talk-to-figma-mcp

MCP.Pizza Chef: sonnylazuardi

Cursor Talk To Figma MCP is a TypeScript-based MCP server that integrates Cursor AI with Figma. It enables real-time communication between Cursor and Figma, allowing Cursor to read design data and programmatically modify Figma files. The integration uses a WebSocket server to facilitate communication between the MCP server and a Figma plugin, streamlining design workflows and automation within Figma projects.

Use This MCP server To

Read Figma design elements for AI analysis or reporting Programmatically modify Figma designs via Cursor AI commands Automate design updates and iterations in Figma projects Synchronize design changes between Cursor AI and Figma in real time Enable AI-driven design suggestions and edits within Figma Facilitate collaborative design workflows using AI and Figma Integrate Figma design data into AI-enhanced development pipelines

README

Cursor Talk to Figma MCP

This project implements a Model Context Protocol (MCP) integration between Cursor AI and Figma, allowing Cursor to communicate with Figma for reading designs and modifying them programmatically.

cursorfigmavideo.mp4

Project Structure

  • src/talk_to_figma_mcp/ - TypeScript MCP server for Figma integration
  • src/cursor_mcp_plugin/ - Figma plugin for communicating with Cursor
  • src/socket.ts - WebSocket server that facilitates communication between the MCP server and Figma plugin

Get Started

  1. Install Bun if you haven't already:
curl -fsSL https://bun.sh/install | bash
  1. Run setup, this will also install MCP in your Cursor's active project
bun setup
  1. Start the Websocket server
bun socket
  1. MCP server
bunx cursor-talk-to-figma-mcp
  1. NEW Install Figma plugin from Figma community page or install locally

Quick Video Tutorial

Video Link

Design Automation Example

Bulk text content replacement

Thanks to @dusskapark for contributing the bulk text replacement feature. Here is the demo video.

Instance Override Propagation Another contribution from @dusskapark Propagate component instance overrides from a source instance to multiple target instances with a single command. This feature dramatically reduces repetitive design work when working with component instances that need similar customizations. Check out our demo video.

Manual Setup and Installation

MCP Server: Integration with Cursor

Add the server to your Cursor MCP configuration in ~/.cursor/mcp.json:

{
  "mcpServers": {
    "TalkToFigma": {
      "command": "bunx",
      "args": ["cursor-talk-to-figma-mcp@latest"]
    }
  }
}

WebSocket Server

Start the WebSocket server:

bun socket

Figma Plugin

  1. In Figma, go to Plugins > Development > New Plugin
  2. Choose "Link existing plugin"
  3. Select the src/cursor_mcp_plugin/manifest.json file
  4. The plugin should now be available in your Figma development plugins

Windows + WSL Guide

  1. Install bun via powershell
powershell -c "irm bun.sh/install.ps1|iex"
  1. Uncomment the hostname 0.0.0.0 in src/socket.ts
// uncomment this to allow connections in windows wsl
hostname: "0.0.0.0",
  1. Start the websocket
bun socket

Usage

  1. Start the WebSocket server
  2. Install the MCP server in Cursor
  3. Open Figma and run the Cursor MCP Plugin
  4. Connect the plugin to the WebSocket server by joining a channel using join_channel
  5. Use Cursor to communicate with Figma using the MCP tools

MCP Tools

The MCP server provides the following tools for interacting with Figma:

Document & Selection

  • get_document_info - Get information about the current Figma document
  • get_selection - Get information about the current selection
  • read_my_design - Get detailed node information about the current selection without parameters
  • get_node_info - Get detailed information about a specific node
  • get_nodes_info - Get detailed information about multiple nodes by providing an array of node IDs

Annotations

  • get_annotations - Get all annotations in the current document or specific node
  • set_annotation - Create or update an annotation with markdown support
  • set_multiple_annotations - Batch create/update multiple annotations efficiently
  • scan_nodes_by_types - Scan for nodes with specific types (useful for finding annotation targets)

Prototyping & Connections

  • get_reactions - Get all prototype reactions from nodes with visual highlight animation
  • set_default_connector - Set a copied FigJam connector as the default connector style for creating connections (must be set before creating connections)
  • create_connections - Create FigJam connector lines between nodes, based on prototype flows or custom mapping

Creating Elements

  • create_rectangle - Create a new rectangle with position, size, and optional name
  • create_frame - Create a new frame with position, size, and optional name
  • create_text - Create a new text node with customizable font properties

Modifying text content

  • scan_text_nodes - Scan text nodes with intelligent chunking for large designs
  • set_text_content - Set the text content of a single text node
  • set_multiple_text_contents - Batch update multiple text nodes efficiently

Auto Layout & Spacing

  • set_layout_mode - Set the layout mode and wrap behavior of a frame (NONE, HORIZONTAL, VERTICAL)
  • set_padding - Set padding values for an auto-layout frame (top, right, bottom, left)
  • set_axis_align - Set primary and counter axis alignment for auto-layout frames
  • set_layout_sizing - Set horizontal and vertical sizing modes for auto-layout frames (FIXED, HUG, FILL)
  • set_item_spacing - Set distance between children in an auto-layout frame

Styling

  • set_fill_color - Set the fill color of a node (RGBA)
  • set_stroke_color - Set the stroke color and weight of a node
  • set_corner_radius - Set the corner radius of a node with optional per-corner control

Layout & Organization

  • move_node - Move a node to a new position
  • resize_node - Resize a node with new dimensions
  • delete_node - Delete a node
  • delete_multiple_nodes - Delete multiple nodes at once efficiently
  • clone_node - Create a copy of an existing node with optional position offset

Components & Styles

  • get_styles - Get information about local styles
  • get_local_components - Get information about local components
  • create_component_instance - Create an instance of a component
  • get_instance_overrides - Extract override properties from a selected component instance
  • set_instance_overrides - Apply extracted overrides to target instances

Export & Advanced

  • export_node_as_image - Export a node as an image (PNG, JPG, SVG, or PDF) - limited support on image currently returning base64 as text

Connection Management

  • join_channel - Join a specific channel to communicate with Figma

MCP Prompts

The MCP server includes several helper prompts to guide you through complex design tasks:

  • design_strategy - Best practices for working with Figma designs
  • read_design_strategy - Best practices for reading Figma designs
  • text_replacement_strategy - Systematic approach for replacing text in Figma designs
  • annotation_conversion_strategy - Strategy for converting manual annotations to Figma's native annotations
  • swap_overrides_instances - Strategy for transferring overrides between component instances in Figma
  • reaction_to_connector_strategy - Strategy for converting Figma prototype reactions to connector lines using the output of 'get_reactions', and guiding the use 'create_connections' in sequence

Development

Building the Figma Plugin

  1. Navigate to the Figma plugin directory:

    cd src/cursor_mcp_plugin
    
  2. Edit code.js and ui.html

Best Practices

When working with the Figma MCP:

  1. Always join a channel before sending commands
  2. Get document overview using get_document_info first
  3. Check current selection with get_selection before modifications
  4. Use appropriate creation tools based on needs:
    • create_frame for containers
    • create_rectangle for basic shapes
    • create_text for text elements
  5. Verify changes using get_node_info
  6. Use component instances when possible for consistency
  7. Handle errors appropriately as all commands can throw exceptions
  8. For large designs:
    • Use chunking parameters in scan_text_nodes
    • Monitor progress through WebSocket updates
    • Implement appropriate error handling
  9. For text operations:
    • Use batch operations when possible
    • Consider structural relationships
    • Verify changes with targeted exports
  10. For converting legacy annotations:
    • Scan text nodes to identify numbered markers and descriptions
    • Use scan_nodes_by_types to find UI elements that annotations refer to
    • Match markers with their target elements using path, name, or proximity
    • Categorize annotations appropriately with get_annotations
    • Create native annotations with set_multiple_annotations in batches
    • Verify all annotations are properly linked to their targets
    • Delete legacy annotation nodes after successful conversion
  11. Visualize prototype noodles as FigJam connectors:
  • Use get_reactions to extract prototype flows,
  • set a default connector with set_default_connector,
  • and generate connector lines with create_connections for clear visual flow mapping.

License

MIT

cursor-talk-to-figma-mcp FAQ

How do I install the Cursor Talk To Figma MCP server?
Install Bun, run the setup script with 'bun setup', start the WebSocket server with 'bun socket', then launch the MCP server using 'bunx cursor-talk-to-figma-mcp'.
What role does the WebSocket server play in this MCP?
The WebSocket server facilitates real-time communication between the MCP server and the Figma plugin, enabling seamless data exchange.
Do I need to install a Figma plugin to use this MCP?
Yes, you must install the corresponding Figma plugin from the Figma community page to enable communication with Cursor AI.
Can this MCP modify Figma designs automatically?
Yes, it allows Cursor AI to programmatically modify Figma designs based on commands or AI-driven workflows.
Is this MCP compatible with multiple LLM providers?
While the MCP server is model-agnostic, it can be used with LLMs like OpenAI, Anthropic Claude, and Google Gemini through Cursor AI integrations.
What programming language is used for this MCP server?
The MCP server is implemented in TypeScript, ensuring strong typing and modern JavaScript features.
How does this MCP improve design workflows?
It automates reading and editing Figma designs, reducing manual effort and enabling AI-driven design iteration.
Can I extend this MCP to support other design tools?
Yes, the modular architecture allows adapting the MCP server to integrate with other design platforms beyond Figma.