How-To Guide
How to Deploy AI-Generated Websites from Claude, Cursor, and ChatGPT
You asked an AI to build a website. It wrote the HTML, CSS, and JavaScript. The preview in your editor looks right. Now what?
Getting AI-generated code from your editor to a live URL used to mean exporting files, setting up a Git repo, configuring a deployment platform, and running build commands. In 2025, MCP (Model Context Protocol) changed that. AI coding agents can now deploy websites directly, and you never leave the conversation.
This guide covers three ways to deploy AI-generated websites, from the simplest (one sentence) to the most flexible (CLI tools).
Method 1: Deploy from your AI editor with MCP
MCP lets AI coding agents interact with external tools through a standard protocol. If your editor supports MCP, you can deploy from the conversation itself, without exporting files or opening a terminal.
Supported AI coding agents
Step-by-step with VibeHost (any MCP editor)
- 1 Add the MCP connector. In your editor's settings, add VibeHost as an MCP server:
https://api.vibehost.com/mcp - 2 Sign in. When prompted, authenticate via Google OAuth. No API keys or tokens to manage.
- 3 Build your website. Use your AI coding agent to write the site as you normally would.
- 4 Deploy. Type "Deploy this to VibeHost" in the conversation. The agent packages your files and pushes them to a live URL.
- 5 Share. The deploy creates a private preview URL. Share it with your team, or upgrade to the Business plan to add password protection for external clients.
The same pattern works with other MCP-compatible deployment platforms. Vercel, Netlify, Render, Railway, and Cloudflare all offer MCP servers as of 2026. The setup varies. Some require API tokens, Git configuration, or a CLI install alongside MCP.
When to use this method: You want to go from AI-generated code to a live URL without leaving your editor. After the one-time setup, each deploy is a sentence you type in the chat.
Method 2: Deploy with a CLI tool
CLI (command-line interface) tools give you more control over the deployment process. Most deployment platforms offer a CLI that you can run from your terminal.
| CLI tool | Platform | Install | Deploy command |
|---|---|---|---|
vibehost | VibeHost | curl -fsSL -o vibehost-install.sh https://vibehost.com/install.sh && sh vibehost-install.sh && rm vibehost-install.sh | vibehost deploy |
vercel | Vercel | npm i -g vercel | vercel |
netlify | Netlify | npm i -g netlify-cli | netlify deploy |
wrangler | Cloudflare Pages | npm i -g wrangler | wrangler pages deploy |
railway | Railway | npm i -g @railway/cli | railway up |
render | Render | Dashboard or Blueprint | git push (via Git integration) |
Step-by-step with the VibeHost CLI
- 1 Install. Run the install script in your terminal.
- 2 Sign in. Run
vibehost login. This opens a browser window for Google OAuth. - 3 Create an app. Run
vibehost app create my-site. - 4 Deploy. Run
vibehost deployfrom the directory with your files. - 5 Get your URL. The CLI outputs a live URL where your site is running.
When to use this method: You are comfortable with the terminal and want to script deployments, integrate with other tools, or deploy from a CI/CD pipeline.
Method 3: Deploy with Git push or drag-and-drop
If you do not use MCP or CLI tools, most platforms still accept traditional deployment methods.
- Vercel and Netlify both support connecting a GitHub/GitLab repo. Push to a branch and the platform builds and deploys automatically.
- Netlify also supports drag-and-drop deployment. You drop a folder in the browser and the site goes live.
- Cloudflare Pages supports Git integration and direct upload via dashboard.
When to use this method: You already have a Git workflow, or you want a one-time deploy without installing anything.
Comparison: which method fits your workflow
| Method | What you set up | Technical skill needed | Repeatable | Best for |
|---|---|---|---|---|
| MCP (from AI editor) | Add a connector URL and sign in once | None. You ask in plain language. | Every deploy is one sentence | Non-technical builders using AI coding agents |
| CLI | Install the CLI and sign in | Basic terminal knowledge | Scriptable, CI/CD compatible | Developers who want control and automation |
| Git push | Connect a repo to the platform | Git knowledge required | Automatic on every push | Teams with existing Git workflows |
| Drag-and-drop | Nothing to install | None | Manual each time | One-off deploys or quick tests |
What to look for in a deployment platform for AI-generated websites
Not every deployment platform is designed for AI-built code. When choosing a platform, consider:
Privacy by default. If you are building something for a client or testing an idea, you may not want the preview URL to be publicly accessible. Some platforms make previews public by default. VibeHost makes them private by default.
No-config setup. AI-generated code often does not include build configuration files, environment variables, or framework-specific settings. Platforms that require these add friction. Look for platforms that detect your project type automatically or work without config.
Team sharing built in. If you are working with a team or sharing previews with stakeholders, built-in collaboration features save time. VibeHost includes team management for up to 3 members on the free plan. Most competitors charge for team features.
MCP tool coverage. An MCP server is only as useful as its tools. VibeHost's 61 tools cover deploy, preview, rollback, custom domains, sharing, password protection, redirects, and logs. More tool coverage means your AI coding agent can do more without you switching contexts.
Frequently asked questions
What is MCP and why does it matter for deploying AI-generated websites?
MCP (Model Context Protocol) is a standard that lets AI coding agents interact with external tools. For deployment, it means your AI agent can deploy, preview, rollback, and manage websites without you leaving the conversation. Most major deployment platforms adopted MCP in 2025.
Can I deploy a website built with Claude Desktop?
Yes. Claude Desktop supports MCP connectors. Add a deployment platform's MCP URL in your Claude Desktop settings, and you can deploy by typing a command like "deploy this to VibeHost" or using the platform's MCP tools. This also works with Claude Code from the terminal.
What types of AI-generated websites can be deployed?
Most AI coding agents produce static websites (HTML, CSS, JavaScript) or Next.js applications. All platforms in this guide support static sites. For Next.js with server-side rendering, Vercel and Netlify offer the most complete support. VibeHost supports static sites and Next.js.
Do I need to know how to code to deploy an AI-generated website?
With MCP deployment, no. The AI agent handles the technical steps. You describe what you want in plain language, such as "deploy this," "share it with a password," or "roll back to the previous version," and the agent carries it out through the deployment platform's tools.
Which deployment platform is best for AI coding agents?
It depends on your needs. Vercel and Netlify are best for developers who want mature infrastructure with AI tooling added on. VibeHost is best for non-technical builders who want the entire experience designed around deploying from AI coding agents, with private previews and team sharing included on the free plan.
Deploy your AI-generated website in one sentence
Free plan includes 100 apps, team management, and up to 3 members.