Problem: How do we let AI talk to Figma?
What We Built:
- Real-time communication channel between AI and Figma
- Command system for AI to control design elements
- Type-safe architecture for reliable operations
- Made AI understand Figma's design structure
Result: AI can now communicate with Figma in real-time
Problem: How do we make it stable and trustworthy?
What We Built:
- Comprehensive testing to catch errors before users see them
- Error handling so nothing breaks unexpectedly
- Redesigned WebSocket for unbreakable connections
- Standardized UI components for consistency
Result: System became production-grade and reliable
Problem: What can AI actually DO in Figma?
What We Built:
- AI can manipulate text styles and typography
- AI can select and modify design elements
- AI can export designs as HTML/CSS code
- AI understands design hierarchy and structure
Result: AI gained powerful design manipulation abilities
Problem: How do we make it elegant and maintainable?
What We Built:
- Unified shape system - AI handles all shapes consistently
- Cleaned up legacy code patterns
- Streamlined the codebase for future growth
Result: Clean, maintainable architecture ready to scale
Problem: How do we help developers understand and debug?
What We Built:
- Comprehensive logging - see what AI is doing
- Launch kit for easy deployment
- Complete documentation for developers
Result: Developers can understand, debug, and extend the system
Problem: How do we ensure quality without manual checking?
What We Built:
- Automated testing - catches problems instantly
- CI/CD pipeline - quality gates on every change
- Advanced code export - AI generates production code
Result: Automated quality assurance, zero manual testing needed
Problem: How do we get this into people's hands?
What We Built:
- Cross-platform installers (Mac, Linux, Windows)
- One-command setup experience
- Production deployment ready
Result: Anyone can install and use it in minutes
THE PROBLEM:
AI assistants couldn't interact with design tools. Designers had to manually execute what AI suggested. There was no bridge between conversational AI and visual design.
THE SOLUTION:
A production-ready MCP server that lets AI read designs, modify elements, create new components, export code, and work in real-time with designers.
THE IMPACT:
Designers can now talk to AI and watch it execute design changes. AI becomes a collaborative design partner. The gap between idea and implementation shrinks to seconds.
ACT 1: CONNECTION (June-July)
Built the bridge. AI can now talk to Figma and understand design.
ACT 2: CAPABILITY (August-September)
Gave AI hands. It can now manipulate designs like a designer would.
ACT 3: INTELLIGENCE (October-November)
Made it smart. Automated quality, logging, and code generation.
ACT 4: ACCESSIBILITY (December)
Opened the doors. Anyone can install and use it.
Not just code. Not just features.
We built the future of AI-assisted design.
Where designers and AI work together in real-time.
Where ideas become visual reality through conversation.
Where the tools finally understand what you mean.
This is the bridge between human creativity and AI capability.
This is Figma MCP Server. 🏆