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musepy/genable

by Various

Quality-first AI UI generator for Figma. Multi-protocol: Gemini · Claude · OpenAI-compatible.

M

MCP

musepy/genable

Added 1 June 2026

#ai #claude #design-tools #figma #figma-plugin #gemini #generative-ai #prompt-to-ui

Overview

A quality-first AI UI generator that works within Figma. It supports multiple AI models including Gemini, Claude, and OpenAI-compatible endpoints, letting users choose their preferred provider for generating interface components from text prompts.

Best for

Best for
Designers and developers wanting to leverage different AI models for Figma UI generation with a focus on quality

Use cases

  • Generate UI components from text descriptions inside Figma
  • Quickly create prototypes by describing layouts and elements
  • Explore design alternatives using different AI models

Notes

A quality-first AI UI generator that works within Figma. It supports multiple AI models including Gemini, Claude, and OpenAI-compatible endpoints, letting users choose their preferred provider for generating interface components from text prompts.

0 stars on GitHub. Last updated 2026-05-20. Licensed MIT.

Use cases

  • Generate UI components from text descriptions inside Figma
  • Quickly create prototypes by describing layouts and elements
  • Explore design alternatives using different AI models

Pros

  • Supports multiple AI protocols giving flexibility in model choice
  • Integrates directly into Figma workflow
  • Emphasizes output quality over speed

Cons

  • No public usage data or community feedback available yet
  • May lack extensive documentation or troubleshooting resources
  • Dependency on external API keys and model availability

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Supports multiple AI protocols giving flexibility in model choice
  • Integrates directly into Figma workflow
  • Emphasizes output quality over speed

Cons

  • No public usage data or community feedback available yet
  • May lack extensive documentation or troubleshooting resources
  • Dependency on external API keys and model availability
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