Add code to existing Python files to build larger programs incrementally within the MCP Code Executor environment.
MIT
70,855 tools. Last updated 2026-02-08 23:00
- Execute Python code snippets in a Conda environment to test and run short programs with necessary libraries.MIT
- Execute Python code in a specified environment, save results, and manage workflows. Ideal for code testing, development, and automation tasks.
- Execute Python code directly within a specified working directory, returning results for instant use. Supports custom environments and optional code saving for future reference.
- 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.
- Compare two Python code versions to analyze improvements, regressions, and security changes. Identify quality and vulnerability differences to enhance code integrity and maintainability.
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