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Alternatives to figwright

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    Related Servers

    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to read and write Figma designs through a local WebSocket relay, turning Figma selections into framework-aware code and building/editing designs directly on the canvas. Provides 112 MCP tools for bidirectional design-code workflows with support for any MCP client.
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Write-side MCP server for Figma — build, edit, and search Figma designs from Claude Code, Cursor, Cline, or any MCP client. Complements Figma's official read-only MCP with 41 tools for tree creation, variables, components, and visual verification.
      41
      2
      MIT
    • A
      license
      B
      quality
      C
      maintenance
      Enables AI agents to directly control Figma Desktop via MCP, supporting UI creation, editing, prototyping, and variable management with over 60 tools.
      65
      873 npm
      1
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Local MCP server exposing Figma REST API tools to AI agents, enabling file reads, comments, variables, and other resource operations. Works with personal access tokens and integrates with Claude, Cursor, Codex, and more.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      This MCP server lets AI agents connect to Figma to read, analyze, create, and modify designs, including elements, styles, assets, and code generation. It works with free Figma accounts and supports parallel multi-agent use across MCP-compatible clients.
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI agents to create, modify, and manage Figma designs through natural language commands via a specialized MCP server and plugin bridge. It supports a wide range of operations including element creation, property modification, component management, and accessibility checks.
      4 npm
      105
      MIT

    TDQS

    A3.9/5.0

    Scored across 112 tools

    Disambiguation4/5

    With 112 tools, there are a few clusters that could confuse an agent, such as the multiple node-reading tools (get_document, get_node, get_nodes_info, get_design_context, get_selection) and the mapping tools (component_map, icon_map, token_map). However, each tool's description clearly delineates its specific purpose and usage context, so the overlap is mostly resolvable. Overall, the tools are distinct enough for a careful agent.

    Naming Consistency4/5

    The vast majority of tools follow a consistent verb_noun pattern (create_frame, set_fills, get_node, delete_nodes, rename_page, apply_animation_style). A few deviations exist, such as token_map, component_map, icon_map, design_diff, and the bare verb batch, but these are minor and do not significantly hinder predictability. The naming convention is coherent overall.

    Tool Count1/5

    At 112 tools, this server is far beyond the typical well-scoped range and exceeds the 50-tool threshold for an extreme mismatch. While the Figma design-to-code domain is broad, the tool set could likely be consolidated or organized into sub-modules to reduce cognitive load. The sheer number makes it unwieldy for an agent to discover and select the right tool.

    Completeness4/5

    The tool set covers the full lifecycle of Figma operations: node CRUD, styling, text, variables, styles, components, prototypes, motion, exports, and project mapping. Minor gaps exist, such as no delete_variable_mode or rename_variable_collection, and no explicit tool to read variable bindings in isolation (though get_design_context provides this). Overall, the surface is remarkably complete for the domain.

    Maintenance

    ActivityActive
    ResponsivenessResponsive