"Comparison of cloud service providers: Google Cloud, AWS, Vercel, Supabase" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Deploy and manage Edge Network cloud: sites, VMs, storage, DNS, Shield, Assist. Agent self-signup.
Zero-Ops deploy of a private AI workspace to your own VPS — from your AI chat. Free and open-source.
Agent-native cloud, EU-hosted. Provision VMs, networks & databases on redu.cloud via MCP.
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.
Contabo API (v1.0.0) as MCP tools for cloud provisioning, and management. Powered by HAPI MCP server
Cloud iOS simulators and Android emulators your agent can create, drive, and throw away.
Vietnam VPS via VietQR — create a machine and put an app online.
GPU cloud platform — create, manage, and monitor instances, snapshots, SSH keys, and billing.
