figma-mcp

Category: Development Tools / MCP Servers
Tags: mcp, figma, design, automation
Source: Read more

Description

figma-mcp is an MCP (Model Context Protocol) server integration that enables AI tools like Cursor to programmatically read and modify Figma designs. This allows for automation of UI/UX tasks through natural language instructions, bridging the gap between design and development by enabling seamless, real-time collaboration and synchronization between design and code.

Features

• Direct Design-to-Development Bridge: Enables direct and standardized communication of design assets, specifications, and decisions between Figma and development environments.
• Precise Communication of Design Intent: Design elements (colors, dimensions, spacing, etc.) can be directly read by development tools, reducing manual documentation and communication errors.
• Real-time Bidirectional Synchronization: Design changes are immediately reflected in development environments and vice versa, supporting a collaborative workflow.
• Design Validation and Quality Assurance: Automated comparison of implemented UI with original designs, identifying discrepancies and providing objective quality metrics.
• AI-Assisted Design Workflows: Supports integration with AI tools (e.g., Galileo AI, UXPilot.ai, Codia.ai, Magician, Uizard) for:
  • Automated design generation based on text prompts
  • Data-driven design suggestions and optimization
  • Direct conversion of designs to frontend code
  • Real-time asset synchronization
  • Rapid prototyping from sketches
• Automated Specification and Documentation: Generates and synchronizes design documentation and specifications automatically, ensuring up-to-date references.
• Version Control: Manages versions and change history of design assets, supporting traceability.
• Automated Testing: Tests visual consistency across multiple breakpoints and device sizes.
• Change Notification: Automatically notifies development environments of design changes, streamlining updates.
• Knowledge Base Integration: Builds a searchable knowledge graph of design decisions, rationale, and user research, accessible to all team members.
• Continuous Design and Validation: Facilitates ongoing optimization based on user feedback, testing, and performance metrics.
• Support for Agentic UX: Prepares design systems and workflows to accommodate both human and AI agent interactions.

Pricing

No pricing information is provided in the available content.