Execute a Python file with specified arguments and environment, returning the result for seamless script integration and automation within the MCP Python Interpreter.
71,133 tools. Last updated 2026-02-11 01:51
- Execute Python code in a sandboxed environment using pre-loaded massive datasets for analysis and processing beyond standard context limits.MIT
- 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.
- View installed packages in a Python environment to manage dependencies and verify installations.
- Identify installed Python packages in a specific environment using the MCP Python Interpreter. Specify the environment name to retrieve package details effectively.
- Create a local development environment from a filesystem path to run tests and view coverage in sandboxed Python, Node, or Bun projects.
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