Practical tips to improve operational accuracy
For office automation scenarios, the accuracy of Windows-MCP can be optimized by.
- Command optimization:: Use a specific and clear instruction format, e.g., "Move all .docx files in the D:/reports folder to D:/archive" is more accurate than "Organize files".
- Status Confirmation:: Add checking steps before performing critical operations, e.g., have the AI capture the current window state first to confirm that the window is in the correct state
- step by step:: Break down complex tasks into sub-steps and confirm them step-by-step before proceeding, e.g., first open Excel → then select worksheet → finally enter data
- Environmental testing:: Regularly check the system environment (network connection, API quota) to ensure that LLM can respond stably
- log analysis:: Detailed error logging, with special attention to exceptions occurring within the 1.5-2.3 second delay period
- visual enhancement: Enable use_vision mode for UI interactions to improve positioning accuracy with image analysis.
These methods can significantly improve the operational reliability of office scenarios such as document organization and data entry.
This answer comes from the articleWindows-MCP: Open Source Tool for Lightweight AI Control of Windows SystemsThe
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