概览
What is Framelink Figma MCP Server?
Framelink Figma MCP Server gives AI-powered coding tools like Cursor access to Figma design data via the Model Context Protocol. It simplifies and translates Figma API responses so only the most relevant layout and styling information is provided to the model, enabling accurate one-shot implementation of designs in any framework.
How to use Framelink Figma MCP Server?
Install and configure the server by adding it to your editor’s MCP configuration file (e.g., mcpServers in Cursor). You must provide a Figma personal access token via the --figma-api-key argument or the FIGMA_API_KEY environment variable. Use the --stdio transport flag. Once running, paste a link to a Figma file, frame, or group in your AI chat and ask the agent to implement the design.
Key features of Framelink Figma MCP Server
- Specifically designed for use with Cursor.
- Simplifies Figma API responses for AI accuracy.
- Works seamlessly with any framework or stack.
- One-shot design implementation from Figma links.
- Open-source under the MIT license.
Use cases of Framelink Figma MCP Server
- Implement a Figma design in code directly from a file link.
- Get accurate layout and styling information without pasting screenshots.
- Use agent mode in Cursor to fetch relevant Figma metadata.
- Speed up UI development by reducing manual design-to-code translation.
FAQ from Framelink Figma MCP Server
How do I get a Figma access token?
Create a personal access token in your Figma account settings. See Figma’s documentation for details.
Can I use this server with editors other than Cursor?
The server follows the Model Context Protocol, but it is specifically designed for and tested with Cursor. Other MCP‑compatible clients may work, but the README focuses on Cursor usage.
What data does the server send to the AI model?
It fetches metadata from the Figma API and simplifies it to include only the most relevant layout and styling information, reducing the amount of context to improve AI accuracy.
What transport and authentication are supported?
The server uses STDIO transport (specified with the --stdio flag) and authenticates via a Figma personal access token, passed as a command-line argument or environment variable.
Are there any known limitations?
The README does not mention specific limitations. It notes that accuracy improves by reducing context, which implies large or complex files may still need careful prompting.
