Framelink MCP for Figma is a small server program that lets AI coding assistants read your Figma design files. The project is aimed at people using Cursor, an AI-powered code editor, although it should work with other tools that follow the Model Context Protocol, a shared standard for connecting AI assistants to outside data sources. The pitch in the README is that when the assistant can see the actual design data, it does a much better job of turning a Figma layout into working code than it does when you only paste in a screenshot. The day-to-day flow is straightforward. The user opens the chat panel in their editor, pastes a link to a Figma file, frame, or group, and asks the assistant to do something with it, like build the screen in code. The server quietly fetches the design data from Figma's public API and hands it to the assistant, which then writes the code. The README claims this works well enough to implement many designs in a single pass. A key idea behind the project is that the raw response from Figma's API contains a lot of information the AI does not need. Before passing anything along, the server filters and simplifies the data so only the layout and styling details that matter for code generation are forwarded. The author argues that this trimming makes the AI more accurate, since smaller and more focused context tends to produce better answers. Setup is done through a JSON configuration file that most MCP-aware editors already use. The user adds a small block that tells the editor to launch the server with npx, the Node.js package runner, and passes in a personal Figma API access token. There are slightly different snippets for macOS and Linux versus Windows, and the token can also be supplied through an environment variable. The project is released under the MIT licence and has a companion site at framelink.ai with quickstart guides and a Discord community.
Generated 2026-05-21 · Model: sonnet-4-6 · Verify against the repo before relying on details.