Container-MCP

what is Container-MCP? Container-MCP is a secure, container-based implementation of the Model Context Protocol (MCP) designed for executing tools on behalf of large language models in a sandboxed environment. how to use Container-MCP? To use Container-MCP, clone the repository, run the provided installation scripts, and connect to the MCP server using a compatible client to execute commands and scripts securely. key features of Container-MCP? Multi-layered security with container isolation and AppArmor profiles. Implementation of the MCP protocol for standardized tool discovery and execution. Domain-specific managers for secure execution of bash commands, Python code, file operations, and web browsing. Configurable environment with extensive options via environment variables. use cases of Container-MCP? Executing secure bash commands in a controlled environment. Running Python scripts with restricted access to system resources. Performing safe file operations and web scraping without compromising security. FAQ from Container-MCP? Is Container-MCP secure for executing untrusted code? Yes! Container-MCP uses multiple layers of security to isolate and restrict code execution. What are the prerequisites for running Container-MCP? You need a Linux system with Podman or Docker, Python 3.12+, Firejail, and AppArmor installed. Can I customize the execution environment? Yes! The environment can be configured extensively through environment variables.

As an MCP (Model Context Protocol) server, Container-MCP enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use Container-MCP, clone the repository, run the provided installation scripts, and connect to the MCP server using a compatible client to execute commands and scripts securely. key features of Container-MCP? Multi-layered security with container isolation and AppArmor profiles. Implementation of the MCP protocol for standardized tool discovery and execution. Domain-specific managers for secure execution of bash commands, Python code, file operations, and web browsing. Configurable environment with extensive options via environment variables. use cases of Container-MCP? Executing secure bash commands in a controlled environment. Running Python scripts with restricted access to system resources. Performing safe file operations and web scraping without compromising security. FAQ from Container-MCP? Is Container-MCP secure for executing untrusted code? Yes! Container-MCP uses multiple layers of security to isolate and restrict code execution. What are the prerequisites for running Container-MCP? You need a Linux system with Podman or Docker, Python 3.12+, Firejail, and AppArmor installed. Can I customize the execution environment? Yes! The environment can be configured extensively through environment variables.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.