"A scheduler that invokes an agent based on a predefined schedule" 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.
Search 600+ Docker/Portainer app templates and prepare a local deploy plan.
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.
Does that Docker tag actually exist? Real tags, sizes and platforms, live from Docker Hub.
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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Agent-native cloud, EU-hosted. Provision VMs, networks & databases on redu.cloud via MCP.
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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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3D print farm management for AI. Monitor, queue, and control prints on your SimplyPrint account.
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.
Persistent Linux microVMs for agents: root, internet, sub-second resume and a public URL.
Build, preview, and deploy apps, databases, brokers, VPS, storage, and domains on KOOMPI Cloud.
Put what you make online, get comments on it, and give it a cloud computer when it needs one.
Official remote MCP server for Buddy. Lets AI coding agents manage Buddy workspaces end to end: create and run sandbox VMs and execute commands in them, build, run and approve pipelines and read their logs, run commands on deployment targets, host apps and distributions, manage Git repositories, branches and commits, environments, artifacts, and search, buy or claim domains. Authentication via OAuth or personal access token.
Vietnam VPS via VietQR — create a machine and put an app online.
Your agent ships the app. Alerts, logs, project memory and approval-gated deletes come with it.
