Enables AI agents to inspect Figma selections, navigate pages, render previews, generate starter code, and submit user-approved canvas edits through a local bridge.
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.
Connects AI agents to Figma through a local WebSocket bridge, enabling read/write access to open Figma files, node manipulation, and AI-assisted rename/group features.
Enables AI coding assistants to draw UI directly on a Figma Desktop canvas and read existing designs back as structured JSON, tokens, CSS, and screenshots, all over a localhost bridge without external API keys.