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    Manages design tokens (colors, spacing, fonts) in a JSON file and enables agents to read, write, export, and detect drift between tokens and CSS via MCP.
    5
    MIT
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    license
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    quality
    B
    maintenance
    Enables coding agents to interact with the currently open Figma file via local MCP tools, including reading the design, extracting nodes as PNG, React, HTML or CSS, editing the canvas when permitted, and sharing saved component sets.
    39
    MIT
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    quality
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    MCP server that lets AI draw in AutoLISP-capable CAD (reference BricsCAD on Linux) via a file bridge, enabling 2D drafting, 3D solid modeling, and verification with 100 tools.
    128
    1
    Apache 2.0
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    quality
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    Provides schematic/PCB analysis, authoring, and SPICE simulation through MCP, enabling direct KiCad file manipulation and verification without requiring KiCad for reading.
    18
    MIT
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    Give your AI assistant the ability to inspect, measure, and compare 3D CAD models by dropping in a STEP file and asking engineering questions. Runs entirely on your machine with no cloud, no CAD license, and no setup.
    88
    4
    MIT
  • A
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    quality
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    maintenance
    An MCP server that lets Claude read Figma file comments directly, with tools to list comment threads scoped to a frame or file and render images of pinned nodes.
    14
    ISC
  • A
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    Not graded
    quality
    D
    maintenance
    Enables developers to extract and organize Figma design files, including complete node data (tree structure and images) for AI understanding and code generation.
    MIT
  • A
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    quality
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    maintenance
    Enables reading and acting on comments in Figma and FigJam, resolving which layer each comment is pinned to, complementing the official Figma MCP server.
    14
    1
    MIT
  • A
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    maintenance
    Enables AI assistants to control Figma in real-time through Model Context Protocol, allowing design creation, editing, and reading operations directly from VS Code.
    15
    15
    MIT
  • A
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    quality
    B
    maintenance
    Enables MCP-compatible AI clients to read and modify the user's currently open Figma file by executing JavaScript in Figma's sandbox, all through a local bridge with status monitoring, node jumping, and automatic rollback on errors.
    1
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    Provides resources, tools, and prompts for a Design System via MCP protocol, enabling component search, reading, and related component discovery.
    225
    MIT
  • A
    license
    Not graded
    quality
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    maintenance
    Unofficial local MCP bridge for reading the currently open Figma file through a Figma plugin. Provides tools to inspect selection, file info, and export selected nodes as SVG/PNG.
    MIT
  • A
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    Not graded
    quality
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    maintenance
    Enables reading, writing, and validating .tldr files for tldraw, a headless implementation without browser dependencies.
    MIT
  • F
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    quality
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    maintenance
    An MCP server that provides AI tools with deep understanding of WireUI v2.x components and comprehensive icon support for Heroicons and Phosphor Icons.
    -
  • A
    license
    A
    quality
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    maintenance
    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
  • F
    license
    A
    quality
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    maintenance
    MCP server for Gaea 2.0 terrain generation, enabling CLI build automation and .terrain file graph manipulation through natural language.
    13
    -
  • A
    license
    A
    quality
    A
    maintenance
    An MCP server that lets AI agents drive FigJam boards through a local Figma plugin, bypassing API rate limits with 19 tools for reading, writing, and editing FigJam content.
    19
    13
    3
    MIT
  • A
    license
    A
    quality
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    maintenance
    Renders architectural floor plans and site plans as SVG in blueprint or whiteprint styles, following real drawing conventions with precise geometry.
    3
    MIT