AI deployment with Claude Code, Cursor, and Windsurf

Deploy and manage applications with AI coding assistants. Connect Claude Code, Cursor, Windsurf, or any MCP-compatible tool to Ploi Cloud and ship from natural language. Setup guides, the full tool reference, and the pc-deploy skill for one-command deployments.

7 articles

Getting started with AI deployment

Connect your AI coding assistant to Ploi Cloud and start deploying applications with natural language.

3 min read

Deploy skill for Claude Code

Automatically deploy your application to Ploi Cloud with the pc-deploy skill for Claude Code.

3 min read

Available AI tools

A complete reference of all MCP tools available for managing your Ploi Cloud applications with AI.

3 min read

Deploy from Claude Code

Connect Claude Code to Ploi Cloud over MCP and deploy applications, add databases, and check logs from natural language.

6 min read

Deploy from Cursor

Add Ploi Cloud to Cursor as an MCP server and deploy from your editor with natural language.

5 min read

Deploy from Windsurf

Connect Windsurf to Ploi Cloud over MCP and deploy from Cascade.

4 min read

From vibe coding to production

Take an app you built with Claude Code, Cursor, Windsurf, or any AI coding tool and ship it to production with managed databases, SSL, and a real domain.

8 min read

Building apps with AI tools like Claude Code, Cursor, and Windsurf is fast. You describe what you want, the model writes the code, and within an hour you have something working on your laptop. Then comes the slow part: getting it online. Provisioning a database, configuring a web server, sorting out SSL, wiring up environment variables. The Model Context Protocol (MCP) closes that gap. Connect Ploi Cloud to your AI tool once and ship to production from the same chat where you wrote the code.

What is MCP?

MCP is an open standard, originally developed by Anthropic, that lets AI assistants connect to external services and call their APIs as tools. Think of it as a bridge between the natural-language conversation in your editor and the structured commands a hosting platform needs to run. Once Ploi Cloud is connected over MCP, your AI tool can create applications, attach databases, set secrets, deploy code, and read logs on your behalf. You authorize the connection once with OAuth, then everything else happens through chat.

Supported AI tools

  • Claude Code
  • Claude Desktop
  • Cursor
  • Windsurf
  • ChatGPT
  • Codex CLI
  • VS Code with Copilot
  • Gemini Code Assist
  • Any MCP-compatible client

What you can do

  • Deploy applications from a Git repository or by uploading source code
  • Provision managed services (databases, caches, queues, object storage) and have the credentials wired in automatically
  • Stream live application and build logs to debug failures from the chat window
  • Create, update, and rotate secrets and environment variables
  • Attach custom domains and let the platform issue SSL certificates for you
  • Monitor deployments, scale resources up or down, and roll back to a previous release

Quick start

Run this in your terminal to connect Claude Code to Ploi Cloud:

claude mcp add --transport http ploi-cloud https://ploi.cloud/mcp

The first time your assistant calls a Ploi Cloud tool, your browser opens an OAuth consent screen. Sign in, approve, and you are done.

Per-framework and per-tool guides

Where to start