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f2c-mcp

MCP.Pizza Chef: f2c-ai

The F2C MCP Server is a Model Context Protocol server designed to provide AI coding assistants with structured, real-time access to Figma design data. It facilitates seamless integration of design context into AI workflows, enabling enhanced coding assistance by bridging design and development environments. This server supports efficient context sharing and interaction between AI models and Figma resources, improving developer productivity and collaboration.

Use This MCP server To

Integrate Figma design data into AI coding assistants Provide real-time design context for code generation Enable AI-driven design-to-code workflows Synchronize design updates with development environments Facilitate collaboration between designers and developers using AI Automate extraction of design specs for coding tasks

README

Framelink

F2C MCP Server

npm version npm downloads github node

English | 简体中文

The F2C MCP Server is a Model Context Protocol server that enables AI coding assistants to access Figma design data and convert it to HTML/CSS code. Key features:

  • 🎨 Convert Figma design nodes to high-fidelity HTML/CSS markup, Industry-leading position
  • 📚 Provides Figma design context to AI coding tools like Cursor
  • 🚀 Supports Figma file URLs with fileKey and nodeId parameters

Getting started

See Getting started

FAQ

See FAQ

Credits

Thanks to:

  • Framelink Figma MCP Server Give Cursor and other AI-powered coding tools access to your Figma files with this Model Context Protocol server.
  • Cursor Talk to Figma MCP Allowing Cursor to communicate with Figma for reading designs and modifying them programmatically.
  • Figma MCP Server This server provides tools for viewing, commenting, and analyzing Figma designs directly through the ModelContextProtocol.

f2c-mcp FAQ

How do I install the F2C MCP Server?
You can install it via npm using 'npm install @f2c/mcp', ensuring Node.js is installed on your system.
What platforms does the F2C MCP Server support?
It primarily supports Node.js environments and integrates with Figma design tools for context access.
Can the F2C MCP Server work with multiple LLM providers?
Yes, it is compatible with various LLM providers including OpenAI, Claude, and Gemini, enabling flexible AI model integration.
How does the F2C MCP Server handle real-time updates?
It listens to changes in Figma designs and streams updated context to connected AI clients in real time.
Is the F2C MCP Server secure for sensitive design data?
Yes, it implements scoped access controls and secure communication protocols to protect design information.
Can I customize the data exposed by the F2C MCP Server?
Yes, it offers configuration options to tailor the design data and metadata exposed to AI clients.
Does the F2C MCP Server support collaborative workflows?
Yes, it facilitates collaboration by synchronizing design context across multiple AI-assisted development sessions.
Where can I find documentation and support for the F2C MCP Server?
Documentation and support are available on the GitHub repository at https://github.com/f2c-ai/f2c-mcp.