insforge--insforge/docs/examples/framework-guides/nuxt.mdx

---
title: Nuxt
description: Learn how to create an InsForge project and build a Nuxt app using AI
---

import Installation from '/snippets/sdk-installation.mdx';

Learn how to create an InsForge project and build a Nuxt app using AI tools like Cursor.

## 1. Create an InsForge project

Create a new InsForge project at [insforge.dev](https://insforge.dev).

## 2. Connect InsForge

Two pieces:

- **CLI link** — see the [Quickstart](/quickstart) to run `npx @insforge/cli link --project-id <your-project-id>` so the agent can read your project ID and keys.
- **MCP setup** — see [MCP Setup](/mcp-setup) for the per-editor config (Cursor, Claude Code, Windsurf, Codex, VS Code).

With both wired up the agent can read schemas, run queries, and deploy code from your editor.

## 3. Build your app with one prompt

In Cursor or your AI assistant, use this prompt:

```
Create a new Nuxt app with TypeScript.
Add Tailwind CSS 3.4 for styling.
Install the InsForge SDK and set up the client configuration.

In my InsForge database, create a sports table with id and name columns.
Add sample data: basketball, soccer, and tennis. Make it publicly readable.

Create a page that fetches and displays all sports from the database.
```

Your AI will generate the complete application including database setup and UI. No need to write code manually - the AI creates everything for you.

## 4. What the AI generates

Your AI assistant will automatically create files like these. You don't need to touch them manually.

**Runtime config** at `nuxt.config.ts`:

```typescript nuxt.config.ts
export default defineNuxtConfig({
  runtimeConfig: {
    public: {
      insforgeBaseUrl: process.env.NUXT_PUBLIC_INSFORGE_BASE_URL,
      insforgeAnonKey: process.env.NUXT_PUBLIC_INSFORGE_ANON_KEY
    }
  }
})
```

**Server API route** at `server/api/sports.get.ts`:

```typescript server/api/sports.get.ts
import { createClient } from '@insforge/sdk';

export default defineEventHandler(async (event) => {
  const config = useRuntimeConfig()

  const client = createClient({
    baseUrl: config.public.insforgeBaseUrl,
    anonKey: config.public.insforgeAnonKey
  })

  const { data, error } = await client.database
    .from('sports')
    .select('*')

  if (error) {
    throw createError({
      statusCode: 500,
      statusMessage: error.message || 'Failed to fetch sports'
    })
  }

  return data
})
```

**Sports page** at `pages/sports.vue`:

```vue pages/sports.vue
<script setup lang="ts">
interface Sport {
  id: string;
  name: string;
}

const { data: sports, pending, error } = await useFetch<Sport[]>('/api/sports')
</script>

<template>
  <div class="min-h-screen p-8">
    <!-- Loading state -->
    <div v-if="pending" class="flex items-center justify-center min-h-screen">
      <p class="text-gray-600">Loading...</p>
    </div>

    <!-- Error state -->
    <div v-else-if="error" class="flex items-center justify-center min-h-screen">
      <div class="text-red-600">
        <h1 class="text-2xl font-bold mb-2">Error</h1>
        <p>{{ error.message }}</p>
      </div>
    </div>

    <!-- Success state -->
    <div v-else class="max-w-4xl mx-auto">
      <h1 class="text-4xl font-bold mb-8">Sports</h1>

      <div v-if="sports && sports.length > 0" class="grid gap-4 md:grid-cols-2 lg:grid-cols-3">
        <div
          v-for="sport in sports"
          :key="sport.id"
          class="p-6 bg-white rounded-lg shadow-md border border-gray-200 hover:shadow-lg transition-shadow"
        >
          <h2 class="text-xl font-semibold text-gray-800 capitalize">
            {{ sport.name }}
          </h2>
          <p class="text-sm text-gray-500 mt-2">ID: {{ sport.id }}</p>
        </div>
      </div>

      <p v-else class="text-gray-600">No sports found.</p>
    </div>
  </div>
</template>
```

## 5. Start the app

Run the development server, go to [http://localhost:3000/sports](http://localhost:3000/sports) in a browser and you should see the list of sports.

```bash
npm run dev
```

## Next: Extend your app with more prompts

Try these prompts to add more features to your app:

```
Add a form to create new sports and save them to the database.
Include validation and error handling.
```

```
Add user authentication with sign up and login pages.
Only allow authenticated users to add new sports.
```

```
Add a favorites feature where users can mark their favorite sports.
Store favorites in a user_favorites table with user_id and sport_id.
```

```
Add images to each sport using InsForge Storage.
Allow users to upload sport images and display them in the grid.
```

```
Add an AI chat feature that can answer questions about sports.
Use InsForge AI with streaming responses.
```