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Enable AI to operate Windows computers and automate desktop tasks.
Overall, this is an open-source MIT-licensed MCP tool from GitHub with strong community adoption, and no keys, remote endpoints, or obvious injection red flags are indicated. The main caution is its explicit local code-execution/system-control capability, so it should be used like any other privileged local automation tool.
No keys, tokens, or environment variables are indicated, and there is no sign of credential collection or forwarding.
No remote endpoints or egress targets are declared; the provided information does not indicate user data is sent externally.
The system check explicitly marks executes-code, meaning it can run code or invoke system capabilities locally; this is a typical high-privilege MCP behavior and warrants caution.
As a Windows computer-use tool, it is expected to access local files, windows, or application state; no excessive access beyond its purpose is indicated.
The repository is public and auditable, MIT-licensed, and has 5.9k stars, which supports trust; however, maintenance status is unknown, so dependency and update hygiene still matter.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Windows-MCP" yet — see the docs or source repo.
Using Windows-MCP, inspect my desktop and move images, documents, and archives into matching folders. Create the folders if they do not exist, then summarize what was done.
The AI organizes desktop files and returns a summary of moved files and created folders.
Use Windows-MCP to open Excel and a browser, sign in to the specified admin system, enter each customer ID from the spreadsheet into the search page, and write the results back into Excel.
The AI completes cross-application actions on Windows and produces an updated spreadsheet.
With Windows-MCP, launch the target Windows application, follow my test steps with clicks and inputs, record whether each step succeeds, and capture screenshots for any errors before summarizing issues.
The AI runs a basic desktop test workflow and outputs step results and issue logs.
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