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.
101,086 tools. Last updated 2026-04-12 23:30
- Execute Python code in a specified environment, save results, and manage workflows. Ideal for code testing, development, and automation tasks.
- Retrieve the active Python execution environment for new code cells in Circuitry's visual workflow platform.
- Execute Python code in a sandboxed environment based on natural language prompts. Generate and run code, then return both the code and execution results.MIT
- Configure Python code execution environment for new cells by specifying target runtime like pyodide, local computer, or remote server.
- Execute Python code in a secure sandbox environment with intelligent enhancement based on user preferences and context.MIT
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A simple MCP server built with FastMCP and python