CloudPloy lets AI agents deploy applications to the cloud through a simple MCP connection. Add an API key and deploy from Claude Code, Cursor, or any MCP-compatible client without leaving your AI workflow.
MCP-powered deployments from AI tools
Secure API key authentication
Works with Claude Code, Cursor, and any MCP client
Manage servers and apps from one workflow
Deploy apps while coding with an AI assistant
Ship prototypes and production updates faster
Give AI agents controlled access to cloud infrastructure
6 ratings
Building CloudPloy, a deployment platform for AI tools.
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Comments
4Building CloudPloy, a deployment platform for AI tools.
CloudPloy makes it easy to deploy AI workflows anywhere from your AI tool, so teams can move from idea to production quickly.
The MCP workflow is compelling, but deployment safety will make or break trust here. A preview step that shows the target, changed resources, environment variables, and estimated cost before execution would be valuable. Scoped keys, an audit log, and one-click rollback would also make this much easier to use beyond prototypes.
Building Koder.quest a gamified platform for kids to learn how to code and parent to see real proof of their progress
Deploying from inside Claude Code or Cursor without switching tabs is a real workflow win. Curious how you handle guardrails, like scoping what an agent can deploy or capping what it can spend, so a bad prompt doesn't end up as a surprise on someone's cloud bill?
Building Koder.quest a gamified platform for kids to learn how to code and parent to see real proof of their progress
Deploying from inside Claude Code or Cursor without switching tabs is a real workflow win. Curious how you handle guardrails, like scoping what an agent can deploy or capping what it can spend, so a bad prompt doesn't end up as a surprise on someone's cloud bill?