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203,974 tools. Last updated 2026-06-14 21:27

"A tool for interpreting Python code" matching MCP tools:

  • Run arbitrary Python code in Blender's environment to automate tasks that no standard tool can handle. Use for custom scripting with full Blender API access.
    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
  • Execute Python code to generate interactive visualizations, plots, and dashboards, then view them in a browser via a unique URL.
    BSD 3-Clause
  • Execute Python code in a persistent REPL environment with variable retention between runs. Use this tool to run Python scripts, test code snippets, and maintain state across multiple executions.
    MIT
  • Format Python code using Pyright's formatter to ensure consistent style and improve readability. Input Python code as a string for automatic formatting.
    MIT

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  • Execute Python code in a running Jupyter kernel using a specified kernel ID and optional timeout.
    MIT
  • 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 scripts or code directly within the Code Buddy MCP server to test, run, and validate Python programs during development workflows.
    MIT
  • Check Python code for errors and inconsistencies using Pyrefly's type checker and identifier tracking to improve code quality.
    MIT
  • Analyze a Python FLOX strategy's AST for required hooks and forbidden patterns. Verify code safety before execution without running it.
    MIT
  • Scores Python source files against the Tool Definition Quality Score rubric to catch low-quality MCP tool docstrings before publishing.
    MIT
  • Execute Python code in the running PFC process for real-time simulation inspection and tuning without pre-scripted queries.
    MIT
  • Retrieve shared Python functions for security rules and detections. View descriptions, code, and metadata with pagination and filtering options.
    Python
    Apache 2.0
  • Retrieve the Python source code of an Apache Airflow DAG by providing its DAG ID. Returns the DAG file content and file token for inspection and debugging.
    Apache 2.0
  • Retrieve detailed information about a Panther global helper by ID, including Python body code and usage details for security monitoring and detection rules.
    Python
    Apache 2.0