PIX4Dmatic MCP
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- FlicenseNot gradedqualityDmaintenanceEnables automation of native Windows desktop applications through screen capture, mouse/keyboard control, and waiting for UI changes, exposing them as MCP tools.1-
- AlicenseNot gradedqualityDmaintenanceProvides desktop automation tools for Windows, enabling mouse and keyboard control, screenshots, clipboard management, and application interaction via the MCP protocol.119 npmMIT
- AlicenseAqualityCmaintenanceEnables general-purpose Windows desktop automation via MCP tools: opening applications and URLs, taking screenshots, checking whether processes are running, and waiting.6MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI clients on Windows to control the local mouse, keyboard, and screen understanding via MCP stdio, allowing automated workflows like viewing the screen, locating elements, clicking, typing, and verifying results.1Apache 2.0
- AlicenseNot gradedqualityDmaintenanceEnables AI clients to automate Windows desktop applications through window manipulation, image recognition, OCR, keyboard/mouse simulation, and memory operations via the MCP protocol.MIT
- AlicenseBqualityBmaintenanceEnables native Windows desktop automation through MCP by capturing screens with Set-of-Marks grounding, dispatching clicks, typing, hotkeys, and scrolling, managing windows and background sessions, and verifying actions with a visual safety oracle and Merkle audit trail.12MIT
TDQS
Scored across 18 tools
Most tools have distinct purposes, such as launching, opening projects, running jobs, and checking outputs, but there is some overlap between pix4d_click_menu and pix4d_click_text, which both involve clicking UI elements, and between pix4d_run_job and pix4d_run_job_object, which both handle job execution, potentially causing confusion.
All tool names follow a consistent 'pix4d_' prefix with snake_case and descriptive verb-noun patterns, such as pix4d_launch, pix4d_open_project, and pix4d_check_outputs, making them predictable and easy to understand.
With 18 tools, the count is slightly high but reasonable for a desktop automation server covering UI interaction, job processing, diagnostics, and monitoring, though it could be streamlined by merging overlapping tools.
The toolset covers key areas like launching, project management, job execution, UI automation, and diagnostics, but there are minor gaps, such as no explicit tools for closing projects or handling errors beyond logging, which agents might need to work around.