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Alternatives to Figxel

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    Related Servers

    • A
      license
      A
      quality
      C
      maintenance
      A local MCP server that reads and edits a Figma Design file through a development plugin, creating real editable layers (frames, text, shapes, components, images) rather than flattened screenshots. It runs entirely on loopback with no personal access token, API key, or cloud bridge, letting an agent inspect documents, build and update layers, export previews, and wire up prototype navigation.
      10
      527 npm
      1
      MIT
    • A
      license
      B
      quality
      A
      maintenance
      A local MCP server that lets AI assistants inspect, create, and update designs in Figma Desktop through a development plugin, requiring no Figma Personal Access Token or cloud services.
      12
      16 npm
      1
      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
      A
      quality
      B
      maintenance
      The Figma desktop app as an MCP server. Gives AI agents the full Figma Plugin API on your open file: read, write, tokens, components, exports, undo. Runs locally with no cloud API, no token and no quota.
      10
      76 npm
      2
      MIT

    TDQS

    B3.4/5.0

    Scored across 140 tools

    Disambiguation3/5

    Most tools have a sharply scoped purpose and the descriptions cross-reference siblings explicitly (e.g. figma_set_fills vs figma_apply_style_to_node, figma_get_reactions vs figma_get_motion_context). But the set is so large that near-neighbours abound: six-plus read tools (get_node, get_nodes_info, get_design_context, get_metadata, search_nodes, scan_text_nodes, scan_nodes_by_types) and five export tools (export_node, save_screenshots, download_assets, export_frames_to_pdf, export_video) require reading long descriptions to choose correctly. An agent will frequently pick the wrong one on first pass.

    Naming Consistency4/5

    Overwhelmingly a figma_verb_noun snake_case pattern (create_frame, set_fills, get_design_context, delete_variable), which is predictable and readable. Minor deviations exist: figma_batch, figma_savepoint, figma_sign_off, figma_stress_test, figma_status, figma_batch_rename_nodes mix noun-style names into the verb scheme, but none are ambiguous.

    Tool Count1/5

    140 tools is far beyond any reasonable single-server surface and forces the agent to triage a huge catalogue before acting. Even with excellent descriptions, the cognitive load and misselection risk are extreme; many tools (create_rectangle, create_ellipse, create_polygon, create_star, create_line, create_vector) are thin wrappers that should be consolidated into one shape tool or a spec builder.

    Completeness5/5

    Coverage is exceptional for the domain: full node CRUD (create/clone/move/resize/rotate/reorder/reparent/group/boolean/flatten/delete), variables and styles end-to-end, components/variants/properties/slots, FigJam board primitives, Slides decks and transitions, motion keyframes and review, plus briefs, sign-off, savepoints and rollback. The only real gap is consolidation rather than missing capability.

    Maintenance

    ActivityMaintained
    ResponsivenessSyncing