MCP Connector

Read and modify Figma designs programmatically via LLM

MCP server that enables LLMs to programmatically read and modify Figma designs through a standardized interface for AI-driven design automation.

Works with figma

53
Spark score
out of 100
Updated 28 days ago
Version 1.0.0

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Why it matters

Enable AI language models to directly interact with Figma files, allowing them to read design properties and make programmatic modifications to designs without manual export or conversion steps.

Outcomes

What it gets done

01

Query design properties and layer information from Figma files

02

Modify existing design elements programmatically through LLM commands

03

Read component structures and design tokens from Figma projects

04

Update design attributes based on natural language instructions

Install

Add it to your toolbox

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/vb-talk-to-figma | bash

Overview

Talk To Figma MCP Server

This MCP server provides a programmatic interface for large language models to interact with Figma design files. It enables AI assistants to read design properties, inspect layers, and make modifications to Figma designs through the Model Context Protocol, translating natural language requests into Figma operations. Use this when you want to automate design workflows through AI assistants, query Figma specifications conversationally, or build tools that let LLMs modify designs based on natural language instructions. It's designed for developers and designers working in MCP-compatible environments like Cursor or Claude Desktop who need programmatic Figma access without leaving their AI-powered workflow.

What it does

The Talk To Figma MCP Server creates a bridge between large language models and Figma, allowing AI assistants to programmatically interact with design files. It exposes Figma's capabilities as MCP tools that LLMs can invoke to read design properties, inspect layers, and make modifications to designs directly through conversational interfaces.

When to use - and when NOT to

Use this connector when you need to automate design workflows through natural language, query design specifications programmatically, or build AI assistants that can inspect and modify Figma files based on user requests. It's ideal for scenarios where developers or designers want to use LLM-powered tools like Cursor or Claude Desktop to interact with Figma without switching contexts.

Do not use this if you need real-time collaborative editing with human designers in the Figma UI, as this is designed for programmatic AI access rather than human-in-the-loop workflows. Avoid this tool if you require direct API access without the MCP abstraction layer, as you would be better served using Figma's REST API directly.

Inputs and outputs

Users provide natural language requests or commands through an MCP-compatible AI client that communicates with the server. The server translates these into Figma API operations. Users receive design data, confirmation of modifications, or structured information about Figma file contents depending on the operation requested. The interaction model follows the Model Context Protocol specification, where the LLM decides which tools to invoke based on user intent.

Who it's for

This connector serves developers and designers who work with AI coding assistants and want to extend their capabilities to include Figma design manipulation. It's particularly valuable for teams building design automation workflows, developers who need to query design tokens or specifications programmatically through conversational interfaces, and anyone looking to reduce context-switching between code editors with AI assistants and the Figma application. The tool assumes familiarity with MCP-compatible clients and basic understanding of how LLMs interact with external tools through structured protocols.

Source README

Talk to Figma MCP

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

https://github.com/user-attachments/assets/129a14d2-ed73-470f-9a4c-2240b2a4885c

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

How to use

  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. 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

Local Development Setup

To develop, update your mcp config to direct to your local directory.

{
  "mcpServers": {
    "TalkToFigma": {
      "command": "bun",
      "args": ["/path-to-repo/src/talk_to_figma_mcp/server.ts"]
    }
  }
}

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
  • set_focus - Set focus on a specific node by selecting it and scrolling viewport to it
  • set_selections - Set selection to multiple nodes and scroll viewport to show them

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_section - Create a section to group related content on the canvas
  • 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
  • set_image_fill - Fill a node with an image from a local file path, URL, or base64 data (FILL, FIT, CROP, or TILE)

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
  • rename_node - Rename a node
  • set_parent - Move a node into a new parent (section, frame or group), preserving its absolute position by default

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.

FAQ

Common questions

Discussion

Questions & comments · 0

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