"How to work with Claude AI code or integrate it" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
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.
Linux microVM sandboxes for AI agents: run commands, files, processes, pause and wake.
Hosted MCP for Celesto cloud computers. Create, start/stop, exec, publish ports, and delete hardware-isolated sandboxes over OAuth.
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.
Manage your own cloud with AI: deploy apps, push and ship custom Docker images, manage resources via your AI agent.
No-KYC VPS + per-second code sandboxes AI agents run over MCP — 75 tools, SDK, pay BTC/XMR/USDC/USDT
Register, renew, transfer, and manage domains, DNS, VPS, and email with 106 tools. By OSIR.
Zero-Ops deploy of a private AI workspace to your own VPS — from your AI chat. Free and open-source.
Deploy files, sites, and Dockerfile apps to live URLs + private drives for agent memory.
3D print farm management for AI. Monitor, queue, and control prints on your SimplyPrint account.
Provides read access to your GKE and Kubernetes resources.
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
Manage VPSnet servers, apps, private networks and Functions with authorized customer access.
