Figma to Code▌
by f2c-ai
Convert Figma designs into clean HTML & CSS with customizable file paths and organization—fast, accurate code generation
Bridges Figma design files to code generation, enabling direct conversion of designs into HTML, CSS, and other assets with customizable output paths and file organization.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Frontend developers converting designs to code
- / Design-to-development handoff workflows
- / Rapid prototyping from Figma mockups
- / Automated UI component generation
capabilities
- / Generate HTML/CSS code from Figma designs
- / Export React components from design nodes
- / Create Tailwind CSS markup from designs
- / Extract images from Figma design elements
- / Convert selected Figma nodes to code
- / Parse Figma file URLs for code generation
what it does
Converts Figma designs directly into HTML, CSS, and React code with pixel-perfect accuracy. Works with selected nodes in the Figma desktop app to generate production-ready code.
about
Figma to Code is a community-built MCP server published by f2c-ai that provides AI assistants with tools and capabilities via the Model Context Protocol. Convert Figma designs into clean HTML & CSS with customizable file paths and organization—fast, accurate code generation It is categorized under developer tools, design. This server exposes 2 tools that AI clients can invoke during conversations and coding sessions.
how to install
You can install Figma to Code in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
Figma to Code is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
F2C MCP Server
Due to Figma REST API rate limits, if you are affected, please switch to @f2c/mcp-plugin for normal operation.
English | 简体中文
A Model Context Protocol server for Figma Design to Code using F2C.
<a href="https://glama.ai/mcp/servers/@f2c-ai/f2c-mcp"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@f2c-ai/f2c-mcp/badge" alt="f2c-mcp-server MCP server" /> </a>Features
<img alt="f2c" src="https://raw.githubusercontent.com/f2c-ai/f2c-mcp/main/docs/bannerv3.png" />- 🎨 Pixel-Perfect HTML/CSS：F2C converts Figma designs to pixel-perfect HTML/CSS with precision.
- ⚛️ Multi-Framework Support：F2C generates React, CSS Modules, and Tailwind CSS code for fast development.
- 🧠 Figma Design Context：F2C integrates design context, ensuring compatibility with AI tools like Cursor.
- 🔗 Figma File URL Parsing：F2C converts design nodes via Figma URLs, streamlining workflows.
- 🖼️ Remote Image Localization：F2C automates downloading Figma images to local assets for efficiency.
How it works
- Configure the Server in an MCP-supported IDE (e.g., Cursor, Trae).
recommended to use Comate AI IDE
- Open your chat in IDE (e.g. agent mode in Cursor).
- Paste a link to a Figma Node (Right-click any node in the Figma Layer panel to copy it).
- Enter your requirements in the chat, such as fetching node data, downloading images, converting to code, etc.
Configuration and Development
See Configuration and Development
Data Privacy Notice
The logging tools integrated in this project are used solely for basic usage statistics and error log reporting. No sensitive information or user data is collected. All reported data is used exclusively to improve product quality and user experience.
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.
FAQ
- What is the Figma to Code MCP server?
- Figma to Code is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Figma to Code?
- This profile displays 71 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ Use When
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid When
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.6★★★★★71 reviews- ★★★★★Kofi Iyer· Dec 28, 2024
According to our notes, Figma to Code benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Naina Ramirez· Dec 28, 2024
Figma to Code is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Chen Zhang· Dec 28, 2024
Figma to Code reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Pratham Ware· Dec 16, 2024
Figma to Code has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Ishan Sethi· Dec 12, 2024
I recommend Figma to Code for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Li Agarwal· Dec 8, 2024
We evaluated Figma to Code against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Nikhil Agarwal· Dec 4, 2024
We wired Figma to Code into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Tariq Flores· Nov 27, 2024
Figma to Code is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Naina Sanchez· Nov 23, 2024
We evaluated Figma to Code against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Tariq Abbas· Nov 19, 2024
Figma to Code has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
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