Execute Python code in a sandboxed environment using pre-loaded massive datasets for analysis and processing beyond standard context limits.
MIT
70,844 tools. Last updated 2026-02-08 17:15
- Execute a Python file with specified arguments and environment, returning the result for seamless script integration and automation within the MCP Python Interpreter.
- Create a local development environment from a filesystem path to run tests and view coverage in sandboxed Python, Node, or Bun projects.
- Execute a Python file with specified arguments and environment settings. Processes file paths, custom environments, and command-line inputs to return script results efficiently for development workflows.
- Run bash scripts in a WSL2 Linux environment by specifying the script path, optional arguments, working directory, and timeout. Ideal for automating tasks directly from Claude Desktop.MIT
- View installed packages in a Python environment to manage dependencies and verify installations.
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