Claude Talk to Figma MCP
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- AlicenseNot gradedqualityDmaintenanceEnables AI assistants like Claude Desktop to interact directly with Figma, allowing natural language commands to create, modify, and analyze designs including shapes, text, components, and layouts in real-time.MIT
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- AlicenseNot gradedqualityDmaintenanceEnables Claude to interact directly with Figma Desktop for creating UI components, managing design tokens, and auditing files through natural language. It establishes a live connection between the AI and the Figma API via a local server and companion plugin.49,681 npmMIT
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- AlicenseBqualityBmaintenanceEnables Claude to connect to Figma without a paid plan, offering auto-connect and 100+ tools for document manipulation, design system sync, and code-to-Figma conversion.10013 npm1MIT
TDQS
Scored across 92 tools
Many tools have overlapping purposes, such as set_image, set_image_fill, replace_image_fill, and set_image_filters. Similarly, set_text_content and set_multiple_text_contents are redundant. The large number of similar setters (set_fill_color, set_stroke_color, etc.) makes it difficult for an agent to distinguish between them without careful reading.
Most tools follow a consistent verb_noun pattern (e.g., create_rectangle, set_font_size, get_pages). A few outliers like boolean_operation (noun style) and set_multiple_text_contents (longer phrase) exist, but the overall naming is predictable and clear.
With 92 tools, the server is significantly over-scoped. This large number leads to redundancy and cognitive overload. Most MCP servers with good coherence have 3-15 tools; 92 is an extreme mismatch for the apparent domain.
The tool set covers a wide range of Figma operations including creation, reading, updating, and deleting nodes and pages, as well as styles, variables, and FigJam elements. However, there are notable gaps: no tools to delete or update styles, no tool to delete variables, and no global search for nodes. The coverage is broad but not fully complete.