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Safely run Python code, capture output, and generate charts.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "python-sandbox-mcp-server" yet — see the docs or source repo.
Use Python to read this sales dataset, calculate monthly total sales and year-over-year changes, and print the results as a table.
Returns execution results including a console table and key statistical findings.
Use Python to plot a line chart from the following time-series data, add a title and axis labels, and output a PNG image.
Returns the generated chart image, optionally with a brief trend summary.
Run this Python code in the sandbox, identify the error, fix it, rerun it, and show the stdout output.
Returns the error analysis, corrected code, and output from the rerun.
Safely run any code in isolated Docker containers for testing and automation.
Securely run Python code in a sandbox and return execution results.
Run Python code securely with session state and file access in containers.
Run commands, manage long jobs, and transfer files in AI sandboxes.
A sandbox server for testing and debugging MCP tools and interactions.
Run Python code securely in a sandbox and return results and files.