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• PointHand

  ayzekhdawy

  A

  license

  -Not graded

  quality

  A

  maintenance

  Enables AI agents to see and operate Windows applications through MCP, including windows, screenshots, mouse, keyboard, scrolling, UI Automation, clipboard, and freehand or geometric drawing. Supports supervised creative workflows with native Win32 input, screenshots, allow-listed apps, and an idle safety guard.

  Updated a day ago (2026-10-19 13:26 UTC)

  MIT

• OmniFlow

  huppugo1

  A

  license

  -Not graded

  quality

  D

  maintenance

  Enables AI clients to automate Windows desktop applications through window manipulation, image recognition, OCR, keyboard/mouse simulation, and memory operations via the MCP protocol.

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• Windows-Use MCP Server

  kultur-512

  A

  license

  -Not graded

  quality

  C

  maintenance

  Enables MCP clients to observe and control the Windows desktop through the UI Automation accessibility tree — no vision model required — by exposing tools for reading windows and interactive elements, clicking, typing, scrolling, shortcuts, PowerShell, screenshots, virtual desktops, web scraping, file operations and persistent memory, including background-window control without stealing focus. An optional agent mode adds a single natural-language task tool that runs the full upstream agent loop when an LLM provider is configured.

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• AiPC

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  A

  license

  -Not graded

  quality

  A

  maintenance

  Gives AI agents full control of a Windows computer over MCP through 63 native tools — screenshots and UI trees for vision, mouse/keyboard input, Chrome control via CDP, plus files, terminal, processes, and SSH/SFTP. The agent can look at the screen, click, type, launch apps, run commands, and verify each step with a fresh screenshot.

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• Screen Control

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  A

  quality

  B

  maintenance

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• desktop-touch-mcp

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  A

  license

  A

  quality

  C

  maintenance

  Allows AI clients to see and control Windows 10/11 desktops via MCP, with screenshots, UI Automation, Chrome CDP, keyboard/mouse, and terminal using semantic element targeting.

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  30

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