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Summary

This MCP implementation, developed by Automata Labs, provides a sandboxed code execution environment for AI agents. Built with Go and leveraging Docker, it offers secure code running capabilities across multiple languages. The implementation focuses on safety and isolation, with features like resource limits and network restrictions. It integrates seamlessly with Claude Desktop and other AI applications through a standardized interface. Particularly useful for developers and researchers working on AI-assisted coding tasks, it enables use cases such as code generation, debugging, and automated testing without exposing the underlying system to potential security risks.

Available Actions(6)

sandbox_initialize

Initialize a new compute environment for code execution. Creates a container based on the specified Docker image. Parameters: image (string, optional)

copy_project

Copy a directory to the sandboxed filesystem. Parameters: container_id (string, required), local_src_dir (string, required), dest_dir (string, optional)

write_file

Write a file to the sandboxed filesystem. Parameters: container_id (string, required), file_name (string, required), file_contents (string, required), dest_dir (string, optional)

sandbox_exec

Execute commands in the sandboxed environment. Parameters: container_id (string, required), commands (array, required)

copy_file

Copy a single file to the sandboxed filesystem. Parameters: container_id (string, required), local_src_file (string, required), dest_path (string, optional)

sandbox_stop

Stop and remove a running container sandbox. Parameters: container_id (string, required)

Last Updated: April 17, 2025

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