# CloudPloy Review MCP-native server deployment platform that lets AI agents in Claude Code or Cursor provision and deploy apps without leaving the coding ## Editor's Score: 62/100 Capability scores 15 because the MCP deployment interface is genuinely novel, but the platform visibly lacks database management, Git-triggered pipelines, rollback, and environment variable handling that comparable tools provide; it does one thing and that one thing is narrow. Ease of use scores 18 because the model is conceptually clean (one token, one MCP connection, no markup math to do yourself), though docs depth is unverifiable at this stage. Value scores 20 because the zero-markup compute model and a permanent free tier at $0 with paid plans starting at $9.99/month represent honest, developer-friendly pricing with no hidden margin. Delivery scores 9 because the product is in waitlist phase with roughly 70 members, no third-party coverage, no public uptime record, and no user sentiment to evaluate; the claims on the pricing page are well-structured but entirely unverified by any external source, which is a meaningful delivery risk for anyone considering production use. ## Pros - Zero compute markup: CloudPloy bills provider rates exactly, with the payment processor fee shown as a separate line item, so there is no hidden margin on the servers you run. - MCP on every plan including free: AI agent deployment via Claude Code, Cursor, or any MCP client is not a paid add-on; it is the core interface from the $0 tier upward. - Bring-your-own-server protection: if your CloudPloy subscription lapses, servers you own keep running; CloudPloy only stops routing and SSL, it never deletes or stops a box you brought yourself. ## Cons - Still in waitlist phase with roughly 70 members: there is no public track record for uptime, support response times, or how the platform behaves under real production load, which is a meaningful risk for anything beyond hobby projects. - Free tier is hard-capped at 2 vCPU and 2 GB RAM with no upgrade path on that plan: the pricing page explicitly states larger boxes will not be supported on Free, so any growth immediately requires a paid plan. - No visible database management, Git integration, or rollback features: the pricing page and site describe deployment and provisioning but list nothing about database support, environment variable management, or deployment history, capabilities that comparable platforms like Dokploy provide. ## Pricing Freemium. A free tier is available. - Free: $0 - Starter: $9.99/mo - Pro: $19/mo - Scale: $39/mo Pricing reflects what we saw at the time of review (2026-09). Confirm current pricing on the official site. Category: AI Coding & Dev Tools (https://aitoolseekers.com/category/ai-coding-dev-tools) Official site: https://cloudploy.com/ Last verified by a human: 2026-09-23 Reviewed by a human at AI Tool Seekers, a hand-reviewed AI tools directory. Every listed tool is verified by a person before publishing. Scores are editorial opinions from a fixed rubric (capability, ease of use, value, delivery on promise) and cannot be bought; there is no pay-to-rank. Directory: https://aitoolseekers.com This review: https://aitoolseekers.com/tools/cloudploy Methodology: https://aitoolseekers.com/how-verification-works ## Verdict CloudPloy is the right pick for a solo developer or small team who wants an AI coding agent to handle deployments end-to-end, without writing custom CI/CD glue. Its zero-markup compute model is genuinely unusual and keeps costs honest, but the product is still in waitlist phase with a tiny user base, so production reliability is unproven. Teams that need mature observability, database management, or Git-triggered pipelines today should look at more established platforms. Best for: Solo devs and small teams deploying via AI coding agents Not for: Teams needing mature CI/CD pipelines, database management, or proven production uptime ## Overview CloudPloy is a deployment control plane built specifically around the Model Context Protocol. The core idea is simple: add an API token, connect your AI coding agent over MCP, and that agent can list servers, deploy apps, provision new cloud instances, and check cost estimates without you switching context. It works with Claude Code, Cursor, or any MCP-compatible client today. What separates it from generic PaaS tools is the billing model. The subscription fee covers only the control plane: the dashboard, the deploy pipeline, and the MCP surface. Compute is billed at the provider's exact hourly rate from a prepaid credit balance, with no markup. You can bring your own server on Hetzner, DigitalOcean, AWS, or any Ubuntu box, and CloudPloy never touches that server's billing. If you provision through CloudPloy, you pay Hetzner, DigitalOcean, or AWS rates directly, with the payment processor fee shown as its own line item. The product is early. The waitlist page lists 70+ members, which signals a pre-launch or very early-access stage. That means the pricing model and MCP integration are clearly thought through, but production track record, uptime history, and support responsiveness are all unknowns. The free tier is a genuine permanent offer: 1 server, 1 app, hard-capped at 2 vCPU and 2 GB RAM, with no time limit. ## Who should use it A solo developer running a side project or early-stage product who already works inside Claude Code or Cursor will get the most out of CloudPloy. The ability to type a deploy instruction to an AI agent and have it actually provision infrastructure and push the app, without leaving the editor, is the whole value proposition. The free tier is a real on-ramp: one server and one app at no cost, permanently. Small agencies managing multiple client deployments could find the Scale plan at $39/month attractive, since it removes all server count and seat limits. But anyone who needs Git-triggered pipelines, database provisioning, rollback history, or detailed deployment logs should look elsewhere. Cursor, listed in our directory, is the AI code editor most CloudPloy users will already be running, but it does not handle deployment itself. For teams that want a more established MCP-adjacent deployment layer with broader infrastructure tooling, Qveris (also in our directory) covers API and agent connectivity across a wider surface area, though it is not a direct deployment platform either. ## FAQ Q: Does the monthly fee include compute costs? A: No. The subscription covers the control plane only: the dashboard, deploy pipeline, and MCP interface. Compute for servers CloudPloy provisions is billed separately at the provider's exact hourly rate from a prepaid credit balance. Servers you bring yourself have no compute charge from CloudPloy at all. Q: What happens to my servers if I cancel or my credit balance hits zero? A: Servers you own keep running; CloudPloy stops providing routing and SSL on top of them but never deletes or stops the box. Servers CloudPloy provisioned on your behalf will be stopped if the prepaid credit balance reaches zero, since CloudPloy is paying the provider for those. Q: Is there a real free plan or just a trial? A: It is a permanent free plan: 1 server, 1 app, hard-capped at 2 vCPU and 2 GB RAM, with no time limit. The pricing page explicitly states larger boxes will not be supported on the Free plan. Q: Which cloud providers can CloudPloy provision servers from? A: CloudPloy provisions from Hetzner, DigitalOcean, and AWS. You can also bring your own server from any of those providers or any other host that runs Ubuntu, connected via a generated key. Q: Can I use CloudPloy with an AI agent other than Claude Code or Cursor? A: Yes. Any MCP-compatible client works. You create a scoped API token from team settings and connect it over MCP; the platform is not locked to a specific AI tool. Q: Is CloudPloy available now or still in waitlist? A: As of the review date, the site shows a waitlist with 70+ members. Access appears to be rolling out gradually rather than being fully open to new signups.