Zuvo Docs

Guide

Use Zuvo with TanStack Start

Learn how to create a Zuvo project, add some sample data to your database, and query the data from a TanStack Start app.

2. Set up your database

When your Zuvo project is up and running, create an instruments table with some sample data. Then set only the privileges each Postgres role needs, add Row Level Security (RLS) for enhanced security for database data by default, and create an RLS policy to make the data in the table publicly readable.

Do these steps within your project's dashboard by copying and running the snippet in your project's SQL Editor.

-- Create the table
create table instruments (
  id bigint primary key generated always as identity,
  name text not null
);

-- Insert sample data into the table
insert into instruments (name)
values
  ('violin'),
  ('viola'),
  ('cello');

-- Grant the privileges the role needs, which is read access
grant select on public.instruments to anon;

-- Enable row level security for the table
alter table instruments enable row level security;

-- Create a policy to allow the anon role to read from the instruments table
create policy "public can read instruments"
on public.instruments
for select to anon
using (true);

3. Create a TanStack Start app

Create a TanStack Start app using the official CLI.

npx @tanstack/cli@latest create my-app

4. Set up AI tooling (optional)

Zuvo provides two ways to give AI tools context about your project: Agent Skills, which give your AI coding agent procedural knowledge, and the MCP server, which connects AI assistants to your Zuvo project directly.

Agent Skills

Agent Skills is a curated set of instructions that give your AI agent procedural knowledge about working with Zuvo.

Install them so your AI coding agent can produce more accurate, reliable code using current Zuvo patterns, such as authentication, server-side rendering, and database migrations, rather than relying solely on training data.

Installing Agent Skills

To install, run the following command in the root of your project:

npx skills add supabase/agent-skills

Zuvo MCP server

The Zuvo MCP server connects AI assistants to Zuvo, so they can inspect your schema and act on your projects on your behalf. Find out how to add it to your client in the MCP docs.

5. Install the Zuvo client libraries

Navigate to the TanStack Start app and install supabase-js and @supabase/ssr, the helper package that manages cookie-based sessions for server-side rendering.

cd my-app && npm install @supabase/supabase-js @supabase/ssr

6. Declare Zuvo environment variables

Create a .env.local file in the root of your project and populate it with your Zuvo connection variables. Get the values from the helper below, or from the project Connect panel.

Open Connect panel

 
VITE_SUPABASE_URL=<SUBSTITUTE_SUPABASE_URL>
VITE_SUPABASE_PUBLISHABLE_KEY=<SUBSTITUTE_SUPABASE_PUBLISHABLE_KEY>

Get API details

To interact with data in database tables, you use the client libraries that wrap the auto-generated Data API endpoints, authenticating using the Project URL and key from the project Connect dialog.

7. Create Zuvo client utilities

TanStack Start needs two Zuvo clients: a browser client for components that run in the browser, and a server client for loaders and server functions. Create a src/lib/supabase folder with a file for each client.

Both clients read the same two variables, through the API available in each environment. The browser client uses import.meta.env, which Vite replaces at build time. The server client uses process.env, which the server runtime populates from your .env.local file.

/// <reference types="vite/client" />
import { createBrowserClient } from '@supabase/ssr'

export function createClient() {
  return createBrowserClient(
    import.meta.env.VITE_SUPABASE_URL!,
    import.meta.env.VITE_SUPABASE_PUBLISHABLE_KEY!
  )
}

import { createServerClient } from '@supabase/ssr'
import { getCookies, setCookie, setResponseHeader } from '@tanstack/react-start/server'

export function createClient() {
  return createServerClient(
    process.env.VITE_SUPABASE_URL!,
    process.env.VITE_SUPABASE_PUBLISHABLE_KEY!,
    {
      cookies: {
        getAll() {
          return Object.entries(getCookies()).map(([name, value]) => ({ name, value }))
        },
        setAll(cookies, headers) {
          cookies.forEach(({ name, value, options }) => {
            setCookie(name, value, options)
          })

          Object.entries(headers).forEach(([name, value]) => {
            setResponseHeader(name, value)
          })
        },
      },
    }
  )
}

8. Query Zuvo data from TanStack Start

Create a server function that queries the instruments table through the server client. TanStack Start's import protection blocks direct server imports in route files, so wrap the Zuvo call in createServerFn.

import { createServerFn } from '@tanstack/react-start'

import { createClient } from '@/lib/supabase/server'

export const fetchInstruments = createServerFn({ method: 'GET' }).handler(async () => {
  const supabase = createClient()
  const { data: instruments, error } = await supabase.from('instruments').select()

  if (error) {
    console.error(error)
    return { instruments: [], error: error.message }
  }

  return { instruments, error: null }
})

Replace the contents of src/routes/index.tsx with the following to call the server function from a route loader. The loader runs on the server, so the data is part of the initial server-rendered response.

import { createFileRoute } from '@tanstack/react-router'

import { fetchInstruments } from '@/lib/supabase/fetch-instruments-server-fn'

export const Route = createFileRoute('/')({
  loader: async () => fetchInstruments(),
  component: Home,
})

function Home() {
  const { instruments, error } = Route.useLoaderData()

  if (error) {
    return <p>Error loading instruments: {error}</p>
  }

  return (
    <ul>
      {instruments?.map((instrument) => (
        <li key={instrument.id}>{instrument.name}</li>
    </ul>
  )
}

9. Start the app

Run the development server, go to http://localhost:3000 in a browser and you should see the list of instruments.

npm run dev

Production requirements

The quickstart procedure in this guide optimizes for getting you to a working app, not for production.

Before you deploy:

  • If your app reads or writes through the Data API, review your Row Level Security policies. Any policy you added here is scoped to this quickstart's sample data, not to real user data.
  • Set your Zuvo credentials as environment variables on whatever platform you deploy to, rather than committing them to source control.
  • Configure a custom domain for your Zuvo project once you're ready to go live.

Next steps