Enables AI agents to access Figma design context, generate code from frames, extract variables, components, and layout data, and create or modify Figma files directly from MCP clients.
Enables MCP clients to read design structure, take screenshots, create nodes, and edit UI directly on Figma canvas via a bridge between MCP and Figma Desktop.
Enables MCP-compatible AI clients to read and modify the user's currently open Figma file by executing JavaScript in Figma's sandbox, all through a local bridge with status monitoring, node jumping, and automatic rollback on errors.
Enables AI agents to read and write Figma designs through a local WebSocket relay, turning Figma selections into framework-aware code and building/editing designs directly on the canvas. Provides 112 MCP tools for bidirectional design-code workflows with support for any MCP client.
Enables AI agents to create, modify, and manage Figma designs through natural language commands via a specialized MCP server and plugin bridge. It supports a wide range of operations including element creation, property modification, component management, and accessibility checks.
Enables AI agents to inspect Figma selections, navigate pages, render previews, generate starter code, and submit user-approved canvas edits through a local bridge.