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a-sandbox-environment-to-run-python-code-and-install-dependencies MCP tools

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71,107 tools. Last updated 2026-02-09 15:09
  • Execute Python code in a secure sandbox environment to test scripts, analyze data, or run computational tasks with libraries like numpy, pandas, and matplotlib.
    MIT
  • Execute JavaScript code in a secure Node.js sandbox container. Install npm dependencies, run ESModules, and manage persistent files for complex workflows. Manually stop the sandbox to free resources after execution.
  • Execute Python code securely in a sandbox environment, with options for pip install commands, JSON parsing, timeout, memory allocation, and saving output files.
    MIT
  • Execute Python code in a persistent sandbox environment to run computations, analyze data, or build multi-tool workflows while maintaining state across executions.
    GPL 3.0
  • Install or upgrade Python packages in specified environments using the MCP Python Interpreter. Manage dependencies efficiently by specifying the environment and upgrade options for each package.

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