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Hosting for AI agents: your AI client deploys Docker apps to live HTTPS URLs over MCP.
Deploy files, sites, and Dockerfile apps to live URLs + private drives for agent memory.
Deploy applications to Cloud Run
The Google GKE MCP server is a managed Model Context Protocol server that provides AI applications with tools to manage Google Kubernetes Engine (GKE) clusters and Kubernetes resources. It exposes a structured, discoverable interface that allows AI agents to interact with GKE and Kubernetes APIs, enabling them to inspect cluster configurations, retrieve Kubernetes resource YAMLs, monitor operations like cluster upgrades, diagnose issues, and optimize costs—all without needing to parse text output or use complex kubectl commands.
The Google Compute Engine MCP server is a fully-managed Model Context Protocol server that provides tools to manage Google Compute Engine resources through AI agents. It enables capabilities including instance management (creating, starting, stopping, resetting, listing), disk management, handling instance templates and group managers, viewing machine and accelerator types, managing images, and accessing reservation and commitment information. The server operates as a zero-deployment, enterprise-grade endpoint at https://compute.googleapis.com/mcp with built-in IAM-based security.
Persistent Linux computers for AI agents: desktop, signed-in browser, vault, apps and shell.
Korean cloud for AI agents — create servers, deploy Docker apps, manage domains, call 300+ AI models
Deploy and manage web apps on InstaPods: create pods, push files, run commands, read logs.