MCP Python Executor

Example Use Cases

• 1

  Execute arbitrary or user-provided Python code in a sandboxed environment with time and memory limits.

• 2

  Run data processing or lightweight ML workflows using preinstalled packages and the ability to install additional Python packages on demand.

• 3

  A programmatic, instrumented Python runtime with health checks, metrics, and structured logs for integration into larger orchestration systems.

Description

This MCP server runs Python code with configurable safety and resource constraints, and can install and manage Python packages. It supports inline code execution or running existing script files, pre-installing commonly used packages, and enforcing memory/time limits and concurrency controls. Additional features include health checks, metrics, and structured logging to integrate into larger systems. It's useful for sandboxed code execution, data processing, and lightweight ML or plotting tasks within an MCP architecture.