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Run Python code securely in a sandbox and return results and files.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-run-isolated-python" yet — see the docs or source repo.
Please use an isolated Python sandbox to read the CSV content I provide, calculate the mean, median, and missing-value count for each column, and output a summary table; do not use network access.
Returns a summary table and, when needed, generated CSV or chart files.
Please execute this code in a restricted Python environment with no network access, capture stdout, error messages, and the final return value, and tell me what went wrong.
Returns execution results, stack traces, and a brief explanation of the issue.
Please use Python in a secure sandbox to generate a sample Excel report and a line chart, then return the downloadable files.
Returns a success result along with the generated report and image files.
Safely run Python in isolated containers with MCP proxying and leaner tool context.
Run Python code securely with inline dependencies for fast experiments and analysis.
Run Python code securely with session state and file access in containers.
Lets AI agents run Python, execute scripts, and install pip packages locally.
Safely run any code in isolated Docker containers for testing and automation.
Run commands, manage long jobs, and transfer files in AI sandboxes.