website-mcp-creator
Enables building ChatGPT Apps that can be used with OpenAI's ChatGPT.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@website-mcp-creatorcreate a new view called weather-display"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Skybridge Template
A starter TypeScript template for building MCP and ChatGPT Apps with the Skybridge framework.
Getting Started
Prerequisites
Node.js 24+
Local Development
1. Install
npm install
# or
pnpm install
# or
bun install
# or
deno install
# or
yarn install2. Start your local server
Run the development server from the root directory:
npm run dev
# or
pnpm dev
# or
bun dev
# or
deno task dev
# or
yarn devThis command starts:
Your MCP server at
http://localhost:3000/mcp.Skybridge DevTools UI at
http://localhost:3000.
3. Project structure
├── src/
│ ├── server.ts # Server entry point
│ ├── views/ # React components (one per view)
│ ├── components/ # Shared UI components
│ ├── helpers.ts # Shared utilities
│ └── index.css # Global styles
├── vite.config.ts
├── alpic.json # Deployment config
└── package.jsonCreate your first view
1. Add a new view
Register a tool in
src/server.tswith a unique name (e.g.,my-view) usingregisterTooland aviewconfig.Create a matching React component at
src/views/my-view.tsx. The file name must match the view name exactly.
2. Edit views with Hot Module Replacement (HMR)
Edit and save components in src/views/ — changes will appear instantly inside your App.
3. Edit server code
Modify files in src/ and refresh the tool list with your MCP Client to see the changes.
Testing your App
You can test your app locally by using our DevTools UI on http://localhost:3000 while running the dev command.
To connect your app with web clients like ChatGPT or Claude, expose your server on the internet by adding the --tunnel flag.
By enabling the tunnel, you'll also be able to access a playground to chat with your app and a real LLM. Learn more by reading the test guide.
Related MCP server: mcp-boilerplate
Deploy to Production
Skybridge is infrastructure vendor agnostic, and your app can be deployed on any cloud platform supporting MCP.
The simplest way to deploy your app is by running the deploy command, which will push your MCP server to the Alpic cloud for free.
Resources
website-mcp-creator
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Maintenance
Resources
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Looking for Admin?
If you are the server author, to access and configure the admin panel.
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