Execute Python code with flexible execution modes including inline for speed and subprocess for isolation. Use to run Python scripts, test code snippets, or maintain session state across executions.
Execute Python code in a persistent sandbox environment to run computations, analyze data, or build multi-tool workflows while maintaining state across executions.
Execute Python code in a persistent sandbox environment with state retention between calls, enabling data analysis and multi-tool workflows through MCP server integration.
Execute Python code in a secure sandbox environment for calculations and data manipulations. Restricted imports and a single-file execution ensure safety and simplicity, with results stored in a variable named 'result'.
Enables efficient AI agent operations through sandboxed Python code execution with progressive tool discovery, PII tokenization, and skills persistence, achieving up to 98.7% token reduction by processing data in a sandbox rather than in context.
Enables execution of Python code in a safe environment, including running scripts, installing packages, and retrieving variable values. Supports file operations and package management through pip.
Executes Python code in isolated rootless containers while proxying MCP server tools, reducing context overhead by 95%+ and enabling complex multi-tool workflows through sandboxed code execution.