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Code Sandbox

byphilschmid
•
3
Data Science & ML
Developer Tools
Security & Testing

Enables AI assistants and LLM applications to securely execute code snippets within isolated containerized environments.

About

The Code Sandbox facilitates secure, on-demand code execution for AI assistants and Large Language Models. It operates as a Model Context Protocol (MCP) Server, leveraging containerization technologies like Podman or Docker to provide isolated environments. This ensures that code snippets from AI applications are run safely, capturing outputs and errors without compromising the host system. It currently supports Python and JavaScript execution, making it a versatile tool for enhancing the capabilities of intelligent agents.

Key Features

  • Supports Python code execution
  • 1 GitHub stars
  • STDIO-based Model Context Protocol (MCP) server
  • Customizable container images for additional dependencies
  • Secure, isolated code execution using containers
  • Supports JavaScript (Node.js) code execution

Use Cases

  • Safely running LLM-generated code snippets
  • Integrating secure code execution into AI applications via MCP clients
  • Empowering AI assistants with code execution capabilities