Bolt.new AI and Mindbody integration: Step-by-Step Guide 2025

To integrate Bolt.new with Mindbody, you don’t connect “Bolt-to-Mindbody” directly. Instead, you create backend code inside Bolt.new (Node/Express is simplest) that talks to Mindbody’s REAL public API over HTTPS. Mindbody exposes a REST API that requires proper authentication (API Key + Site ID + optionally OAuth for user-level access). Bolt.new simply hosts and runs the code in its sandbox while you prototype. Once wired, your Bolt app can fetch classes, clients, appointments, schedules, or handle bookings through Mindbody’s real API.

 

The correct integration model

 

You integrate Mindbody the same way you would in any full-stack app: your Bolt.new backend calls Mindbody’s REST API using your API Key and Site ID. There is no special “Bolt integration layer” — you write standard fetch/axios calls, store credentials as environment variables, and test requests inside the Bolt workspace.

This means you must have:

• Mindbody API Key (from Mindbody developer portal)
• Mindbody Site ID (the business ID)
• Environment variables set in Bolt.new (never hardcode secrets)
• Node backend route that communicates with Mindbody

 

How the Mindbody API works (quick primer)

 

The Mindbody API is a REST API with endpoints such as:

• /public/v6/class/classes – get classes
• /public/v6/client/addclient – create a client
• /public/v6/appointment/availability – appointment times

Authentication uses headers:

• Api-Key: your Mindbody API key
• SiteId: your site ID (string/number)

No magic. It’s standard HTTPS JSON requests.

 

Step-by-step: integrate Mindbody inside Bolt.new

 

This is the simplest valid pattern that will work today.

• Create a new Bolt.new project using the Node.js + front-end scaffold.
• Open the environment panel and set:
  • MINDBODY_API_KEY
  • MINDBODY_SITE_ID
• Create an Express route that queries Mindbody.
• Test the route with Bolt's built-in server runner.

 

Working Node.js example to call Mindbody

 

This is a minimal, valid, real-world request you can run directly in Bolt.new.

// routes/mindbody.js
import express from "express";
import axios from "axios";

const router = express.Router();

router.get("/classes", async (req, res) => {
  try {
    const result = await axios.get(
      "https://api.mindbodyonline.com/public/v6/class/classes",
      {
        headers: {
          "Api-Key": process.env.MINDBODY_API_KEY,      // Mindbody API key
          "SiteId": process.env.MINDBODY_SITE_ID        // Site/business ID
        }
      }
    );

    res.json(result.data);  // send the Mindbody API response back to frontend
  } catch (err) {
    console.error(err.response?.data || err.message);
    res.status(500).json({ error: "Mindbody request failed" });
  }
});

export default router;

 

Then mount it in your main server file:

// server.js
import express from "express";
import mindbodyRoutes from "./routes/mindbody.js";

const app = express();

app.use("/api/mindbody", mindbodyRoutes);

app.listen(3000, () => {
  console.log("Server running on port 3000");
});

 

Now in your front-end, you can call it like this:

// Example: fetch classes from your Bolt backend
async function loadClasses() {
  const res = await fetch("/api/mindbody/classes");
  const classes = await res.json();
  console.log(classes);
}

 

Important auth clarification

 

• If you only need public class schedules, API Key + Site ID is enough.
• If you need user-specific operations (bookings under specific client), Mindbody requires an OAuth flow. In Bolt.new, you implement OAuth like any normal backend — redirect URL, token exchange, and storing access tokens securely.

But for most prototyping, API key access is enough.

 

Production hardening after prototyping in Bolt

 

• Move secrets to a real secret manager (AWS/GCP/Vercel/Render).
• Add rate limiting + retry logic (Mindbody can throttle aggressively).
• Add logging for failed Mindbody calls.
• Validate all input (Mindbody APIs are strict about field formats).

 

Bottom line

 

The correct way to integrate Bolt.new with Mindbody is to write a small backend inside Bolt that calls Mindbody’s real REST API using your API Key and Site ID. Nothing proprietary — no special “bolt-to-Mindbody” connector. Just standard authenticated HTTP calls. Once you have that backend route working, your Bolt front-end can fetch class schedules, create clients, book appointments, or anything else Mindbody exposes.