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Provide AI agents a local isolated Linux sandbox for fast, safe commands.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "sandbox-mcp" yet — see the docs or source repo.
In sandbox-mcp, create a temporary Linux environment, clone this Git repository, install required dependencies, run the build script, and return the build logs and artifact list. Do not modify my host machine.
Returns execution results from the sandbox, including installation steps, build logs, errors, or generated artifacts.
Please use an Ubuntu environment in sandbox-mcp to reproduce the following command-line error, log each step's output, analyze likely causes, and suggest fixes: <paste commands and error message>.
Produces a reproducible error trace, root-cause analysis, and actionable fixes.
Use sandbox-mcp to install dependencies for this Python project inside an isolated VM, run the test suite, and summarize any missing packages, version conflicts, or system-level dependency issues.
Outputs dependency installation results, test results, and a summary of environment compatibility issues.
Run commands, manage long jobs, and transfer files in AI sandboxes.
Run AI agents in VM-isolated sandboxes on Mac for safer execution.
Let AI safely control real browsers and desktop apps in a sandbox.
Run Git and GitHub CLI outside sandbox restrictions for smoother repository operations.
Safely run Python code, capture output, and generate charts.
Evaluate code in a sandbox with automated execution and LLM-based quality scoring.