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CloudPloy

Deploy anywhere from your AI tool. Your agent deploys from Claude Code, Cursor, or any MCP client. Free forever: 1 small server, 1 app.

Introduction

Overview

CloudPloy lets you deploy anywhere from your AI tool. Add an API key. Your agent deploys from Claude Code, Cursor, or any MCP client. Bring your own Ubuntu or AWS server, or provision Hetzner, DigitalOcean, or AWS at cost. Flat plan for the control plane; compute at the provider's rate. Free forever: 1 small server, 1 app.

Who it is for

CloudPloy is built for developers and teams who already work inside AI coding tools. Instead of leaving Claude Code or Cursor to open a separate console, you keep the deploy workflow next to the agent. Point CloudPloy at a server you control, or ask it to provision a small instance at a cloud provider and pay that provider's rate for compute. The control plane is a simple flat plan; you are not locked into a single host.

Use cases

Use cases include shipping side projects from an MCP client, promoting a staging app to production from Cursor, and giving an AI agent a repeatable deploy path without inventing custom scripts each time.

Pricing and plans

Pricing is transparent. Free forever covers 1 small server and 1 app. Paid control plane tiers are Starter $9.99, Pro $19, and Scale $39. Docs: https://cloudploy.com/docs

How it fits

CloudPloy does not claim to replace your cloud provider. It sits between your AI tool and the machine that runs your app. You keep ownership of the server and the provider bill. That separation is intentional: agents can deploy, operators keep infrastructure control.

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