Imagine transforming your Figma designs into high-quality HTML, React, or other code formats with minimal effort. That’s exactly what the F2C MCP Server delivers! Built on the F2C (Figma to Code) framework, this open-source tool grabs design data from Figma and generates highly accurate code. It integrates smoothly with tools like Cursor, Trae, and Dify, making it a game-changer for developers and designers. Let’s explore why it’s awesome and how you can use it!
Why Choose F2C MCP Server?
Compared to popular tools like Trae’s built-in Figma-Context-MCP, F2C MCP Server stands out. Instead of sending raw Figma node data directly to clients, it processes designs through the F2C engine first. This extra step ensures greater stability and code that closely matches your original design—think near-pixel-perfect results with less fuss.
How to Use It
Ready to try it? Here’s a step-by-step guide to set up and use F2C MCP Server with a tool like Cursor.
Step 1: Grab Your Figma Personal Access Token
- Open the Figma app and click the profile menu in the top-left corner.
- Go to the Security tab and click Generate new token to create a Personal Access Token.
Step 2: Set Up the MCP Server
Follow the official documentation to configure the MCP Server. Pick the setup method that works for you (e.g., for Cursor).
Step 3: Turn Designs into Code
With the server configured, you’re ready to go! In your tool’s chat interface (e.g., Cursor), type what you want to create. Here’s an example prompt:
Click Run, and the agent will use the F2C MCP Server to process your Figma design. Here’s a sample design for testing:
Step 4: See the Results
How does F2C MCP Server compare? Let’s look at the output for the same prompt using Figma-Context-MCP:
Now, check out the F2C MCP Server’s output:
The difference is clear—F2C MCP Server delivers a much closer match to the original design. Plus, it automatically downloads related images to your local machine:
What’s Next?
F2C MCP Server is already impressive, but it’s not perfect yet. The team is tackling a few challenges:
- AI over-optimization: The model sometimes tweaks the high-fidelity code, which can lead to unexpected results. Optimizations are underway to limit this.
- Code refinement: The output may need minor manual polishing.
- Naming conventions: Generated code names could be more intuitive.
The developers are exploring AI enhancements to address these issues. Stay tuned for practical demo videos on the GitHub repo!
Join the Community
F2C MCP Server is open-source and thrives on community input. Give it a spin, and if you encounter issues or have suggestions, share them on the GitHub issues page. Your feedback can help make this tool even better!
Ready to convert your Figma designs into code with incredible accuracy? Head to the F2C MCP Server repo and start building now!
Top comments (0)