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    MCP server that gives LLMs deep knowledge of design systems and tokens, enabling intelligent design evolution, token analysis, and designer-to-developer handoffs.
    37
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    MIT
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    A Model Context Protocol server that exposes a versioned brand package (tokens, rules, recipes, media rights, and audit gates) as resources, tools, and prompts for AI agents. It enables agents to plan and audit on-brand UI, image, motion, and video outputs while remaining read-only and credential-free.
    MIT
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    Transforms Figma design data into a compact, LLM-friendly format for code generation, reducing size by 99.5% while preserving UI-critical information.
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    MIT
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    Provides tools and resources for interacting with xTool laser machines, enabling material settings recommendations, design generation, troubleshooting, and machine knowledge through natural language.
    MIT
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    Enables browsing and editing Open Metaverse Spatial Fabric scenes, including managing scenes, objects, and resources through natural language.
    5
    Apache 2.0
  • F
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    Strict Model Context Protocol server for Consumer Choice Center brand-guided generation. It exposes the CCC 2026 brand guide as machine-readable resources and tools so an LLM can retrieve brand assets, validate designs, and generate on-brand prompts and SVG drafts.
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    MCP server that lets product managers turn ideas into editable Figma designs using natural language, with explicit planning and approval before any changes.
    2
    MIT
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    An MCP server that provides AI tools with deep understanding of WireUI v2.x components and comprehensive icon support for Heroicons and Phosphor Icons.
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    A read-only MCP server for reading and analyzing Lanhu (Blue Lake) design projects, providing tools to retrieve design lists, previews, node trees, schemas, and exportable resources.
    5
    MIT
  • A
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    quality
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    Bidirectional MCP bridge enabling AI assistants to draw UI on Figma canvas and read designs back as structured data or code tokens via localhost, requiring Figma Desktop.
    5
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    MIT