"A clean web agent named x402-cleanweb-agent" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Confidential VMs (Intel TDX) by the hour, paid in USDC over x402: live plans, prices, how to buy.
Search 600+ Docker/Portainer app templates and prepare a local deploy plan.
Give your agent its own cloud: Postgres, Redis, a sandbox or any Docker image, in one MCP call.
The Dockyard catalog describes ready-made Docker apps. Once you add this MCP server, your agent can find an app and deploy it for you: in local Docker or in your own Portainer.
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.
Manage your own cloud with AI: deploy apps, push and ship custom Docker images, manage resources via your AI agent.
Flags idle agent sandboxes (E2B, Vercel, Daytona, Modal), shows idle cost, returns kill calls.
Zero-Ops deploy of a private AI workspace to your own VPS — from your AI chat. Free and open-source.
Deploy and manage Edge Network cloud: sites, VMs, storage, DNS, Shield, Assist. Agent self-signup.
Deploy files, sites, and Dockerfile apps to live URLs + private drives for agent memory.
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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.
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Agent-native cloud, EU-hosted. Provision VMs, networks & databases on redu.cloud via MCP.
Cloud iOS simulators and Android emulators your agent can create, drive, and throw away.
Cloud Android phones for AI agents: create a phone, read the screen, tap, type, install APKs, park.
Your agent ships the app. Alerts, logs, project memory and approval-gated deletes come with it.
Cloud desktops for AI agents: create a Linux computer, see its screen, click, type and run tasks.
Vietnam VPS via VietQR — create a machine and put an app online.
Persistent Linux microVMs for agents: root, internet, sub-second resume and a public URL.
Run, build, and validate firmware on virtual hardware from your AI agent. Hardware knowledge corpus.
Cloud Linux VMs for your agent: run code, Docker, files and HTTPS previews in a Sandboxer microVM.
Lease AWS and GCP VMs for a set time and let them stop themselves.
