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"Server for MCP Protocol with On-Screen UI Interaction" matching MCP servers:

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    Enables AI assistants to capture screenshots and control desktop input (mouse, keyboard) to see and interact with your screen. Features user-first safety controls including automatic pause on user activity and app allowlists to restrict interactions to approved applications only.
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    MIT
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    An MCP server that provides an interactive PyQt5 UI for enhanced model communication, featuring multi-image management, file attachments, and customizable cognitive performance modes. It enables users to input complex content and manage workspace assets through a structured, tag-based output format.
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    A TypeScript server that enhances AI assistants' capabilities when working with Starwind UI components, providing tools for project initialization, component installation, documentation access, and more.
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    MIT
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    An MCP server for reliable iOS Simulator automation that enables agents to control devices, read accessibility UI trees, and capture screenshots. It supports deterministic grounded actions like tapping, typing, and swiping to create a closed-loop observe-reason-act cycle.
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    An MCP server that enables high-speed Android screenshot capture with ~50ms latency using the scrcpy frame buffer. It maintains a circular buffer for instant access to recent frames and automatically falls back to ADB when scrcpy is unavailable.
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    Middleware that converts a serverless handler with OpenAPI spec into an MCP endpoint following stateless MCP principles.
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    MIT
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    Provides coding agents live access to shadcn-style component registries, enabling them to search, compare, and fetch real component source code for UI composition.
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    MIT
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    An MCP server that lets AI agents see, act on, and verify the rendered Neovim UI, like a Playwright for Neovim. It provides tools to launch/attach to Neovim, observe the screen, send input, and wait for conditions.
    8
    MIT
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    Bidirectional MCP bridge enabling AI assistants to draw UI on Figma canvas and read designs back as structured data or code tokens via localhost, requiring Figma Desktop.
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    MIT
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    Enables AI assistants to generate production-ready, professional UI design systems and components from simple descriptions, with real images, animated components, and automated quality checks.
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    Enables MCP clients to read design structure, take screenshots, create nodes, and edit UI directly on Figma canvas via a bridge between MCP and Figma Desktop.
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    MCP server for the coss ui design system, enabling AI agents to fetch components, props, and design tokens on demand for accurate, low-cost code generation.
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    MIT