Manages CloudLab/Emulab experiments, enabling AI assistants to directly interact with your experimental setups.
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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
01Perform node operations such as reboot, reload, and power cycle
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03Create and manage CloudLab experiments from profiles
04Extend the duration of active experiments
05List and retrieve detailed status of experiments, including node states
06Terminate experiments to clean up resources
Use Cases
01Automating CloudLab experiment lifecycle management through AI assistants.
02Integrating CloudLab experiment control into AI-driven development or research workflows.
03Programmatically controlling experimental environments for testing and research.
