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Run browser and desktop app tasks safely for AI agents in a sandbox.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "io.github.segentic-lab/glovebox-mcp" yet — see the docs or source repo.
In the sandbox, open Chrome, visit my test site, perform login, search for a product, add it to cart, and proceed to the step before order submission. Record screenshots, console errors, and the final result for each step.
A test report with step-by-step actions, screenshots, error logs, and pass/fail results.
In the nested desktop window, launch the browser and file manager, download the latest report from a webpage, verify it is saved to the target folder, and summarize the download time and success status.
A validation summary showing whether the file was downloaded successfully, where it was saved, and key timing metrics.
Use the sandboxed desktop environment to complete a real UI task demo: open the browser, go to email, search for a specified subject line, extract the sender and date, and output reusable task instructions.
A structured result containing the extracted data, execution steps, and a reusable agent workflow.
Provide AI agents a local isolated Linux sandbox for fast, safe commands.
Securely equips AI agents with executable tools for commands, search, and file operations.
Run AI agents in VM-isolated sandboxes on Mac for safer execution.
Run commands, manage long jobs, and transfer files in AI sandboxes.
Securely let AI control a real browser for web automation and extraction.
Automate browsers via MCP for navigation, form filling, and screenshot capture.