CloudPloy
MCP-native server deployment platform that lets AI agents in Claude Code or Cursor provision and deploy apps without leaving the coding
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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.
What is CloudPloy?
CloudPloy is a cloud deployment platform designed around the Model Context Protocol, letting developers deploy and manage applications directly from AI coding tools like Claude Code and Cursor. It acts as a control plane that connects to servers on Hetzner, DigitalOcean, or AWS, either ones the user already owns or ones CloudPloy provisions on demand at the provider's exact cost.
The platform targets individual developers and small engineering teams who want AI agents to handle deployment tasks without custom scripting. A permanent free tier supports one server and one app within a 2 vCPU and 2 GB RAM ceiling. Paid plans start at $9.99 per month and raise server count, resource limits, and team seat allowances, while compute costs remain separate and unmarketed.
How we scored CloudPloy
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 and cons
What we liked
- 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.
Where it falls short
- 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.
Key features
CloudPloy pricing
Free forever tier: 1 server, 1 app, up to 2 vCPU and 2 GB RAM. Starter is $9.99/month for up to 3 servers (up to 16 vCPU, 16 GB RAM each) and 1 team seat. Pro is $19/month for up to 10 servers (up to 32 vCPU, 64 GB RAM each) and 3 team seats. Scale is $39/month for unlimited servers, uncapped server size, and unlimited team seats. The monthly fee covers the control plane only; compute is billed separately at the provider's exact rate from prepaid credits, with no markup.
| Plan | Price | Who it is for |
|---|---|---|
| Free | $0 | 1 server, 1 app, up to 2 vCPU and 2 GB RAM (hard cap, no upgrade on this plan), 1 team seat, MCP access from Claude Code, Cursor, or any MCP client. Permanent, no time limit. |
| Starter | $9.99/mo | Up to 3 servers, up to 16 vCPU and 16 GB RAM per server, 1 team seat, unlimited apps, MCP access. Compute billed separately at provider cost from prepaid credits. |
| Pro | $19/mo | Up to 10 servers, up to 32 vCPU and 64 GB RAM per server, 3 team seats, unlimited apps, MCP access. Compute billed separately at provider cost from prepaid credits. |
| Scale | $39/mo | Unlimited servers, uncapped server size, unlimited team seats, unlimited apps, MCP access. Positioned for agencies. Compute billed separately at provider cost from prepaid credits. |
Pricing reflects what we saw at time of review (2026-09). Always confirm current pricing on the tool's own site.
Who should use CloudPloy?
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.
Skip it if: Teams needing mature CI/CD pipelines, database management, or proven production uptime
CloudPloy alternatives
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Frequently asked questions
Does the monthly fee include compute costs?+
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.
What happens to my servers if I cancel or my credit balance hits zero?+
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.
Is there a real free plan or just a trial?+
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.
Which cloud providers can CloudPloy provision servers from?+
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.
Can I use CloudPloy with an AI agent other than Claude Code or Cursor?+
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.
Is CloudPloy available now or still in waitlist?+
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.
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