Axite MCP Template

A lightweight, type-safe starter for building ChatGPT MCP apps with Next.js and Skybridge.

This template provides a simplified, production-ready foundation with:

• Next.js App Router structure
• Skybridge integration for type-safe widgets
• Better Auth (OAuth 2.1)
• Stripe subscription support (optional)
• Drizzle ORM with PostgreSQL

✨ Features

• 🚀 Type-Safe End-to-End - Automatic type inference from backend tools to frontend widgets.
• 🔐 OAuth 2.1 - Built-in auth for ChatGPT/Claude integration.
• ⚡ Next.js Native - Widgets are standard Next.js pages.
• 🔌 Skybridge Powered - Use typed hooks (useCallTool, useToolInfo) instead of raw SDK calls.

🚀 Quick Start

1. Install

pnpm install

2. Configure Environment

Copy .env.example to .env and fill in your details.

3. Run Development Server

pnpm dev

Your MCP server is running at http://localhost:3000/mcp.

🛠️ Creating Tools & Widgets

1. Define Tool & Widget (app/mcp/route.ts)

server.registerWidget(
  "my_tool",
  { title: "My Tool", widgetPath: "/widgets/my-tool" },
  {
    description: "Does something cool",
    inputSchema: z.object({ query: z.string() })
  },
  async ({ query }) => {
    return createSuccessResponse("Done", { result: query });
  }
);

2. Create Widget Page (app/widgets/my-tool/page.tsx)

import MyWidget from "@/src/components/my-widget";

export default function MyToolPage() {
  return <MyWidget />;
}

3. Build Widget Component (src/components/my-widget/index.tsx)

"use client";
import { useToolInfo } from "@/src/skybridge";

export default function MyWidget() {
  // Types are automatically inferred!
  const { output } = useToolInfo();

  if (!output) return <div>Loading...</div>;
  return <div>Result: {output.structuredContent.result}</div>;
}

📚 Documentation

• app/mcp/route.ts - Main server entry point
• src/skybridge.ts - Type definitions and hooks
• lib/db/schema.ts - Database schema

📄 License

MIT