What is the Figma MCP Server?

The Figma MCP Server is an Apify Actor that creates a secure bridge, allowing AI applications and assistants to programmatically interact with Figma designs and projects using natural language commands.

What key actions can AI perform with this server?

AI can analyze file structures, extract design metadata, list and manage components, automate asset exports in various formats, manage collaborative comments, and even programmatically modify design elements.

Is it possible to modify Figma designs using the server?

Yes, the server supports programmatic modification of design elements and node properties, allowing AI to update designs and manage nodes based on defined commands.

How does it integrate with AI assistants like ChatGPT or Claude?

It functions as a long-running HTTP server implementing the Model Context Protocol (MCP), enabling seamless integration with any MCP-compatible AI assistant or custom AI workflow.

Figma

Name: Figma
Author: oabolade

byoabolade

•

Design Tools

Productivity & Workflow

Establishes a secure bridge for AI applications to programmatically interact with Figma designs and projects using natural language commands.

The Figma tool acts as a Model Context Protocol (MCP) server Actor, allowing AI assistants and applications to seamlessly integrate with Figma's design platform. It empowers AI models to query design information, extract asset details, modify design elements, and retrieve project metadata without manual intervention. This long-running HTTP server provides a comprehensive set of tools, resources, and prompts, creating a powerful conduit for AI-driven design workflows.

Key Features

010 GitHub stars

02Automate the export of design assets in multiple formats and configurable scales

03Enable programmatic modification of design elements and node properties

04List, extract, and manage components and component sets within Figma files

05Retrieve, create, and manage collaborative comments programmatically

06Analyze Figma file structures and extract design metadata in real-time

Use Cases

01Integrate with AI assistants like Claude Desktop for natural language design queries and actions

02Automate design file analysis to extract design tokens, styles, and component information

03Programmatically export assets for development or documentation in various formats (PNG, SVG, PDF, JPG)