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"A guide to understanding and using the Figma cursor" matching MCP servers:

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    Converts a Figma file into a React project using Ant Design, AG Grid, ApexCharts, and Tailwind CSS, with optional export of mobile screens as a React Native (Expo) app.
    7
    24
    MIT
  • A
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    Enables AI agents to directly control Figma Desktop via MCP, supporting UI creation, editing, prototyping, and variable management with over 60 tools.
    65
    1,109
    1
    MIT
  • F
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    Enables AI agents to read and modify Figma designs programmatically through WebSocket communication, supporting document manipulation, styling, text replacement, and component management.
    42
  • A
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    Enables AI agents to access and manage project guidelines, documentation, and context through a structured content system with template support and workflow management.
    37
    MIT
  • A
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    Allow your AI coding agents to access Figma files & prototypes directly. You can DM me for any issues / improvements: https://x.com/jasonzhou1993 1. Access all figma pages 2. Access all figma components 3. Access figma prototype flows
    3
    67
    MIT
  • A
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    Converts Figma designs (frames, components, instances) into inspectable packets and static Unity UGUI YAML prefabs via the Figma REST API, enabling direct design-to-Unity asset generation.
    5
    MIT
  • A
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    Enables interactive feedback with image support in Cursor, allowing users to paste images for visual context and feedback.
    1
    8
    MIT
  • F
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    Enables AI agents to read, inspect, and export Figma designs programmatically. Provides tools for listing components, styles, and exporting assets in various formats.
    5
    1
  • A
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    Enables AI assistants to interact with Figma designs programmatically, supporting comprehensive design automation including text manipulation with formatting preservation, batch operations, prototyping, auto-layout configuration, and component management.
    75
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    4
    MIT
  • A
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    Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.
    3
    27
    Apache 2.0