About
An MCP server that exposes Figma’s API, enabling file access, comment management, project queries, style retrieval, and webhook handling directly from Model Context Protocol tools.
Capabilities
Figma MCP Server
The Figma MCP Server bridges the gap between AI assistants and Figma’s design ecosystem by exposing a rich set of APIs through the Model Context Protocol. Developers can now query, modify, and monitor design files directly from an AI workflow without leaving the assistant’s environment. This eliminates manual API calls, streamlines collaboration, and enables real‑time design iteration powered by natural language or programmatic prompts.
The server offers a comprehensive toolkit for interacting with Figma resources. With file‑level operations such as retrieving metadata, version history, and component lists, an assistant can provide instant context about a design’s structure. Comment management tools let the AI read, post, or delete feedback, turning discussions into automated actions. Project and team endpoints expose high‑level views—listing all projects within a team, pulling files from a project, or fetching published styles—so the assistant can surface organizational insights or enforce design system consistency. Finally, webhook support allows developers to subscribe to events like file updates or comment additions and trigger downstream processes automatically.
These capabilities translate into tangible use cases. A product manager could ask the AI, “Show me all components in the latest version of the login screen,” and receive a structured list without opening Figma. A design lead might instruct the assistant to “Add a comment reminding the UI team about accessibility guidelines” and have it posted instantly. In continuous integration pipelines, webhooks can notify the AI when a design file changes, prompting it to generate updated documentation or update style guides. Because every operation is wrapped in a simple MCP tool call, developers can compose complex sequences—such as iterating on a component and automatically updating related documentation—using familiar prompt engineering techniques.
Integration into AI workflows is straightforward. Once the server is configured with a Figma access token, any MCP‑enabled assistant can invoke its tools via the syntax. The server handles authentication, rate‑limiting, and error translation, presenting results in JSON that the assistant can parse or embed directly into responses. This seamless coupling lets teams maintain a single source of truth for design assets while leveraging the conversational power of AI to automate routine tasks, enforce standards, and surface insights.
In summary, the Figma MCP Server turns a static design platform into an interactive, AI‑driven resource. By exposing file data, comments, team structures, and event hooks through a unified protocol, it empowers developers to embed design intelligence into assistants, accelerate feedback loops, and create smarter, context‑aware workflows across the product lifecycle.
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MCP for Beginners
Learn Model Context Protocol with hands‑on examples
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