"A guide to understanding and using the Figma cursor" matching MCP servers:

An MCP server integration that enables Cursor AI to communicate with Figma, allowing users to read designs and modify them programmatically through natural language commands.

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

A minimal MCP server that exposes Gemini's web and multimodal understanding (video, audio, document, image) through five dedicated tools.

Enables AI agents to directly control Figma Desktop via MCP, supporting UI creation, editing, prototyping, and variable management with over 60 tools.

MCP server that enables AI agents to read, analyze, and modify Figma designs, including comment management via Figma's REST API. Works with any Figma account and supports parallel execution.

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.

Enables AI agents to access and manage project guidelines, documentation, and context through a structured content system with template support and workflow management.

An MCP server that analyzes local or remote GitHub repositories, providing intelligent code context and structure to AI coding assistants.

Converts Figma designs to React Native components, allowing users to extract components from Figma designs and generate corresponding React Native components with proper typing and styling.

Allow your AI coding agents to access Figma files & prototypes directly. You can DM me for any issues / improvements: https://x.com/jasonzhou1993 1. Access all figma pages 2. Access all figma components 3. Access figma prototype flows

A Model Context Protocol (MCP) server for Cursor IDE that simplifies the installation and configuration of other MCP servers.

A Model Context Protocol server that provides access to Figma API functionality, allowing AI assistants like Claude to interact with Figma files, comments, components, and team resources.

Enables AI-driven UI/UX design and prototyping in Figma by letting agents generate AutoLayout screens, modify canvas elements, and wire interactive prototype flows through natural language.

Enables AI assistants to interact with Figma designs programmatically, supporting comprehensive design automation including text manipulation with formatting preservation, batch operations, prototyping, auto-layout configuration, and component management.

Facilitates the analysis of Figma file structures by extracting node hierarchies, accessible via REST API or MCP protocol.

An MCP server that uses Google's Gemini API to analyze videos and convert them to text descriptions that Claude Code can understand and act upon.

Enables MCP clients to connect to a privacy-first, self-hostable workout planning and training log, allowing coaching agents to preview and apply program changes while accessing training data through OAuth-protected endpoints.

Enables integration with Figma through the Model Context Protocol, allowing users to interact with Figma designs and files using their Personal Access Token. Provides containerized deployment options and Server-Sent Events endpoint for real-time communication.

Enables AI agents to inspect Figma design files by fetching file summaries, page structures, specific nodes, and rendered image previews, along with signed-in user details and file comments. It lets agents review design feedback and explore frames, components, and layers without downloading full node trees.

Acts as a bridge between Claude's desktop application and the Cursor editor, enabling seamless AI-powered automation and multi-instance management across platforms with standardized communication and secure token-based authentication.