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"Improving Cursor Efficiency and Smart Features" matching MCP servers:

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    AI-native design engineering platform that converts Figma or live websites into a semantic design graph for code generation, and generates Figma designs from prompts with a self-improving director loop.
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    MIT
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    Enables AI-powered UI component generation from natural language descriptions, integrating with IDEs like Cursor, Windsurf, and VS Code.
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    47,278
    ISC
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    Lightweight MCP server for After Effects that enables Cursor Agent to execute ExtendScript code inside AE via a single tool, similar to Blender MCP.
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    Open-source, bidirectional Figma agent for MCP clients — a free alternative to Figma's Dev Mode MCP. Reads designs with high-fidelity grounding and writes back to the canvas: frames, text, auto-layout, styles, variables, and components. 92 tools, no API token, no paid Figma seat.
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    MIT
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    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.
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    MIT
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    Provides 1000+ handcrafted design system themes (colors, typography, components, animations) to inject into AI-generated UI, enabling tools like Claude, ChatGPT, and Cursor to produce polished, non-generic interfaces.
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    MIT
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    Enables AI agents to control and manipulate live 3D scenes across frameworks like Three.js, A-Frame, and Babylon.js using a comprehensive set of object and environment tools. It features an integrated in-world chat system that allows for real-time scene modifications directly from within the 3D canvas.
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    MIT
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    A Sketch file processing MCP server that enables AI tools to analyze Sketch design files and generate code, with smart token optimization and 16 professional tools for design element discovery and analysis.
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    MIT
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    An MCP server for parametric part modeling in Onshape, producing fully-defined, variable-driven sketches and features. It enables LLMs to create editable CAD models using semantic selection and geometrically grounded constraints.
    33
    MIT