"A managed cloud provider that deploys my application" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Manage your own cloud with AI: deploy apps, push and ship custom Docker images, run territories, read logs, and manage backups/billing via scope-limited API keys.
Hosted MCP for Celesto cloud computers. Create, start/stop, exec, publish ports, and delete hardware-isolated sandboxes over OAuth.
Linux microVM sandboxes for AI agents: run commands, files, processes, pause and wake.
Servers for agents, rented by the month: Linux with root and a public IPv4. Pay per call.
Provision, SSH into, run commands on, and manage Linux VPSes from an AI agent. Pay USDC over x402 (Base) or by card over HTTP 402, a running box in under 60s. No signup, no API key to buy. This remote endpoint offers free browse/discovery, quotes, and server status.
Does that Docker tag actually exist? Real tags, sizes and platforms, live from Docker Hub.
Hosting for AI agents: your AI client deploys Docker apps to live HTTPS URLs over MCP.
Servers, volumes, networks, firewalls, load balancers, pricing and safe power operations.
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.
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.
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.
Contabo API (v1.0.0) as MCP tools for cloud provisioning, and management. Powered by HAPI MCP server
Cloud Android phones for AI agents: create a phone, read the screen, tap, type, install APKs, park.
- LimrunOAuthcom.limrun
Cloud iOS simulators and Android emulators your agent can create, drive, and throw away.
MCP server for Hostkey .ru (InvAPI): servers, power, order, DNS, S3, billing
Vietnam VPS via VietQR — create a machine and put an app online.
- briqOAuthcloud.briq
Give your agent its own cloud: Postgres, Redis, a sandbox or any Docker image, in one MCP call.
