Executes Python code in an isolated AWS Lambda sandbox, returning results safely.
Sponsored
This tool provides a robust and secure server for executing Python code. It leverages AWS Lambda to create a tightly controlled sandbox environment, ensuring that code runs without internet access, with minimal IAM permissions, and under strict resource limits. Designed to integrate with AI clients via the Model Context Protocol (MCP), it enables safe and controlled execution of Python snippets, making it ideal for scenarios requiring secure code evaluation and preventing unintended side effects.
Key Features
01Resource limits and subprocess isolation for enhanced safety
020 GitHub stars
03Configurable execution timeout from 1 to 30 seconds
04Secure Python code execution in AWS Lambda sandbox
05Strict security model with no internet egress and minimal IAM permissions
06Captures stdout, stderr, exit code, and execution time
Use Cases
01Integrating sandboxed code execution capabilities into custom applications
02Providing a secure Python execution environment for AI agents (e.g., Claude)
03Safely testing untrusted or potentially hazardous Python code snippets
