CloudLab

About

The CloudLab tool functions as a Model Context Protocol (MCP) server, designed to provide a programmatic interface for managing CloudLab/Emulab experiments. It empowers AI assistants, such as Claude, to directly control and monitor experimental setups, from creating and terminating experiments to performing individual node operations like rebooting or reimaging. This integration streamlines the lifecycle management of research experiments within the CloudLab environment.

Key Features

• Perform node operations such as reboot, reload, and power cycle
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• Create and manage CloudLab experiments from profiles
• Extend the duration of active experiments
• List and retrieve detailed status of experiments, including node states
• Terminate experiments to clean up resources

Use Cases

• Automating CloudLab experiment lifecycle management through AI assistants.
• Integrating CloudLab experiment control into AI-driven development or research workflows.
• Programmatically controlling experimental environments for testing and research.