Executes code securely within isolated Docker containers for AI assistants using the Model Context Protocol.
Sponsored
Provides a secure, sandboxed environment for executing code via the Model Context Protocol (MCP). It enables AI assistants to safely run code within isolated Docker containers, eliminating direct access to the host system. This ensures code execution is performed in a controlled environment with resource limitations and multi-language support, making it suitable for various AI-driven applications.
Key Features
01Resource limitations (CPU and memory)
021 GitHub stars
03Secure code execution in isolated Docker containers
04MCP integration
05Multi-language support (currently Python)
06Automatic container setup and cleanup
Use Cases
01Sandboxing code execution for testing and development
02Allowing AI assistants to safely execute code
03Providing a secure environment for running untrusted code