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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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    A Windows desktop automation MCP server that enables UI recognition through OCR, UIA controls, and multi-point color matching. It allows agents to interact with desktop applications via actions like clicking and typing while using a learning system to track and improve operation success.
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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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    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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    MIT
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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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    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 comprehensive UI/UX development workflows through integrated tools for component development with Storybook, Tailwind CSS styling, Framer Motion/GSAP animations, Playwright testing, and automated design system generation. Provides end-to-end automation for visual regression testing, accessibility compliance, and UX optimization analysis.
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    Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.
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    Apache 2.0
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    Enables AI to inspect and interact with UI elements, supporting control mode for the runner's own UI and SDK mode for external applications.
    AGPL 3.0
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    Enables AI assistants to present interactive choices to users via browser popups, supporting single and multiple selections with optional custom input.
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    MIT
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    An AI-centric MCP server that enables automated Xilinx Vivado workflows, including project management, synthesis, implementation, and timing analysis. It allows AI agents to drive hardware design processes while integrating directly with the official Vivado GUI for visual context.
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    Enables real-time data streaming through Server-Sent Events with timestamp broadcasting and server monitoring capabilities. Optimized for deployment on Render.com with health checks and status endpoints.
    283