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⇱ Adobe XD MCP integration or server | Glama

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Adobe XD MCP integration or server

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  • Why this server?

    Adobe XD is a UI/UX design tool. This server converts Figma designs (a direct competitor to Adobe XD) to React Native components, showing a relevant integration between design and development tools using MCP.

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    Converts Figma designs to React Native components, allowing users to extract components from Figma designs and generate corresponding React Native components with proper typing and styling.
    Last updated
    3
    20
    8
    MIT

  • Why this server?

    Adobe XD is a UI/UX design tool. This server enables AI assistants to query and analyze Figma designs (a direct competitor to Adobe XD) through natural language interactions, making it highly relevant to the 'adobe xd mcp' search.

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    An MCP server integration that enables Cursor AI to communicate with Figma, allowing users to read designs and modify them programmatically through natural language commands.
    Last updated
    19
    1,790
    6,826
    MIT

  • Why this server?

    Adobe XD is a design tool. This is a Model Context Protocol server that connects AI tools and LLMs to Figma designs (a direct competitor), aligning with the user's interest in design tool integration with MCP.

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    A Model Context Protocol server that connects AI tools and LLMs to Figma designs, enabling them to extract design data, analyze design systems, and generate development documentation.
    Last updated
    474
    2
    MIT

  • Why this server?

    Adobe XD is a design tool. This server specifically integrates with Figma (a direct competitor to Adobe XD), allowing AI agents to interact with design data through MCP tools.

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    A TypeScript server that implements the Model Context Protocol, enabling AI-powered design creation in Figma using natural language prompts through Cursor Agent.
    Last updated
    5
    2,899
    4

  • Why this server?

    Adobe XD is a UI/UX design tool. This server enables Cursor AI to communicate with Figma (a direct competitor to Adobe XD), allowing programmatic modification of designs via natural language through MCP.

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    Implements a Model Context Protocol integration between Cursor AI and Figma, allowing Cursor to programmatically read and modify Figma designs.
    Last updated
    33
    1,790
    MIT

  • Why this server?

    Adobe XD is a design tool. This server integrates with Figma (a direct competitor), providing tools for design system management and generating React Native components from designs, relevant to UI/UX workflows and including 'MCP'.

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    Enables AI coding tools like Cursor to access Figma design data through the Model Context Protocol, allowing accurate implementation of designs across frameworks. Based on NCDS (NHN Commerce Design System) with enhanced source generation capabilities.
    Last updated
    3
    MIT

  • Why this server?

    Adobe XD is used for design systems. This server provides design system bridging capabilities, which is directly relevant to managing design components from tools like Adobe XD within an MCP framework.

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    Enables bidirectional synchronization between IDEs and Figma for Design System management, allowing developers to generate React components and synchronize design tokens, icons, and components across platforms.
    Last updated
    1

  • Why this server?

    Adobe XD is a design tool. This server enables Claude AI to create and manipulate designs in Figma (a direct competitor to Adobe XD), indicating strong relevance to AI control over design environments through MCP.

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    A Model Context Protocol (MCP) server that enables Claude to create and manipulate designs in Figma through either a Figma plugin or directly via the Figma API.
    Last updated

  • Why this server?

    Adobe XD is a design tool. This server interacts with Figma files (a direct competitor to Adobe XD) efficiently, addressing the challenge of handling large design files within an MCP context.

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    A Model Context Protocol server for interacting with the Figma API that handles large Figma files efficiently through memory-aware chunking and pagination capabilities.
    Last updated
    7
    21
    4
    MIT