"How to use the command features in Figma" matching MCP servers:

Enables users to control the cursor in Figma through verbal commands using an agentic AI agent, streamlining the design process with a new interaction method.

Automates the conversion of Figma designs into TypeScript React components and integrates with GitHub to create pull requests for the generated code. It includes visual regression testing with Playwright and accessibility validation to ensure implementations match the original designs.

Give any LLM agent a real Android or iPhone. 62 MCP tools: tap, swipe, type, screenshot, screen-tree reading, app launch, camera, TTS, crash reports, batched execution. Android via ADB, iPhone via WebDriverAgent, on-device inference, Docker+KVM emulators. Works with Claude Code, Cursor, LangChain, LlamaIndex, and any MCP client. MIT.

Allows Cursor AI to communicate with Figma for reading designs and modifying them programmatically through a Model Context Protocol integration.

Enables AI agents like Claude to interact with Figma designs through 50+ tools for creating, styling, and manipulating design elements, components, and variables via a WebSocket relay and Figma plugin.

Converts Figma designs into React components with TypeScript and Tailwind CSS by extracting components from Figma files and transforming them into ready-to-use code.

An MCP server that enables AI assistants to interact with Figma designs for tasks like reading document info, creating elements, and managing auto layouts. It facilitates real-time design automation via a custom Figma plugin and WebSocket server integration.

Enables AI assistants to interact with humans through GUI dialogs for text input, choices, confirmations, and information display.

Enables Cursor AI to interact with Figma designs, allowing users to read design information and programmatically modify elements through natural language commands.

Enables Cursor AI to communicate with Figma for reading designs and modifying them programmatically, allowing users to automate design tasks through natural language.

Implements a Model Context Protocol integration between Cursor AI and Figma, allowing Cursor to programmatically read and modify Figma designs.

Enables AI assistants like Claude and Cursor to interact directly with Figma to create, modify, and analyze design elements in real-time. It provides a comprehensive suite of tools for document inspection, styling, component management, and automated layout via a bidirectional WebSocket connection.

Enables AI assistants like Claude Desktop to interact directly with Figma, allowing natural language commands to create, modify, and analyze designs including shapes, text, components, and layouts in real-time.

Enables agents to subscribe to comments in selected Figma files, pages, frames, folders, teams, or organizations, optionally filtered by tag, and retrieve new comment events over MCP stdio. It polls Figma's REST API locally so the receiving agent can decide how to react.

Zero-dependency macOS desktop automation for AI agents. Screenshot, mouse, keyboard, clipboard, and window control via MCP. 18 tools, macOS 13+, one command: npx mac-use-mcp.

MCP server for local Mac desktop control, enabling mouse, keyboard, and screenshot actions for AI agents like Grok and Cursor.

Enables seamless interaction with Figma via the Model Context Protocol, allowing LLM applications to access, manipulate, and track Figma files, components, and variables.

Enables AI assistants to interact with Figma files through the ModelContextProtocol, allowing viewing, commenting, and analyzing Figma designs directly in chat interfaces.

Enables Claude to see and control a real Android phone via MCP, reading the accessibility tree to tap, type, navigate, launch apps, and diagnose connectivity over ADB or cellular.

Enables coding agents to observe and control an authorized Android phone over ADB through MCP tools and a JSON CLI. It supports UI inspection, screenshots, taps, swipes, typing, key presses, app listing, and launching.