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hoangpm96

Reqwise Figma MCP

by hoangpm96

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    • A
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      Enables AI agents to inspect Figma selections, navigate pages, render previews, generate starter code, and submit user-approved canvas edits through a local bridge.
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    • F
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      Enables AI agents to interact with Figma to create, read, and manage designs using the Figma REST API and a dedicated plugin. It supports advanced features like UI generation from text, webpage reconstruction in Figma, and design token synchronization with codebases.
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    • A
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      Enables AI assistants to read, analyze, and modify Figma designs, manage design tokens, and create prototype connections, all while keeping data local.
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    • A
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      Enables AI agents to read, create, edit, and organize Figma documents directly through a local plugin bridge, without needing a Figma AI subscription.
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    • A
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      Enables AI assistants to read and modify Figma designs programmatically, supporting design analysis, element creation, text replacement, annotations, auto-layout configuration, and prototype visualization through natural language commands.
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    TDQS

    A4.4/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: docs for API reference, read for canvas reading, rules for design systems, status for diagnostics, and write for modifications. No overlap.

    Naming Consistency5/5

    All tools follow a consistent figma_verb naming pattern (figma_docs, figma_read, figma_rules, figma_status, figma_write), making it easy to infer functionality.

    Tool Count5/5

    5 tools is well-scoped for a Figma MCP server, covering essential operations without unnecessary bloat.

    Completeness4/5

    The set covers reading, writing, documentation, rules, and status. While minor operations like explicit deletion or search are missing, the core lifecycle is covered.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues