Automate Kubernetes orchestrations via Argo Workflows — monitor, list, and inspect active pods, crons, and workflow templates directly from any AI agent.

Manage edge infrastructure via Fly.io — monitor apps and machines, scale compute horizontally, handle persistent volumes, and run remote commands directly from any AI agent.

Manage serverless compute via Modal — audit active apps, track GPU deployments, and monitor network volumes.

Equip your AI to orchestrate cloud infrastructure, manage service deployments, and execute scaling operations natively on your Render platform.

Manage self-hosting via Coolify — monitor servers, deploy applications, manage databases, and trigger builds directly from any AI agent.

Manage AI infrastructure via Lambda Labs — launch GPU instances, monitor ML workloads, and manage SSH keys.

Manage serverless database infrastructure via Neon — spawn zero-copy branches, audit projects, and monitor compute endpoints.

Manage workloads and orchestration via Nomad — track jobs, nodes, and deployments directly from your AI agent.

Orchestrate Kubernetes clusters via Porter — manage apps, projects, container tags, and enforce rollouts directly with your AI.

Equip your AI with direct access to your Railway infrastructure — manage projects, deployments, services, and environment variables.

Integrate your AI securely to RunPod to cleanly quickly provision scalable GPU pods, manage active instances, and inspect serverless endpoints and custom templates natively.

AI MCP infrastructure: deploy, manage, and monitor MCP servers programmatically via agents.