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

 

Updating Project Dependencies

  In your Bolt.new AI project, you'll need to add the axios package for making HTTP requests to Mindbody. Since Bolt.new AI doesn’t provide a terminal, add the dependency directly in your project’s package.json file. Open or create the package.json file in your project’s root directory and add the following dependencies block:

{
  "dependencies": {
    "axios": "^0.27.2"
  }
}

This tells the platform to install axios automatically.

 

Creating the Mindbody Service File

  Create a new file called mindbodyService.ts in your project’s source directory. This file will handle the integration with Mindbody by fetching data such as appointments. Paste the following code into mindbodyService.ts:

import axios from 'axios';

const MINDBODYAPIURL = 'https://api.mindbodyonline.com/public/v6';  // Mindbody API endpoint
const APIKEY = process.env.MINDBODYAPIKEY || 'YOURMINDBODYAPIKEY';  // Replace with your API key or set as environment variable
export interface Appointment {
  id: string;
  clientName: string;
  appointmentTime: string;
  // Add additional properties as needed
}
export async function fetchAppointments(): Promise<Appointment[]> {
  try {
    const response = await axios.get(${MINDBODY_API_URL}/appointments, {
      headers: {
        'Content-Type': 'application/json',
        'Api-Key': API_KEY,
      },
    });
    // Assuming the API returns an "Appointments" field in the response data
    return response.data.Appointments || [];
  } catch (error) {
    console.error('Error fetching appointments:', error);
    return [];
  }
}

Make sure to replace 'YOURMINDBODYAPIKEY' with your actual API key or set the MINDBODYAPI_KEY in your environment variables via Bolt.new AI’s secrets manager.

 

Integrating the Mindbody Service into Your Project

  In your main TypeScript file (for example, index.ts or app.ts), import and call the Mindbody service to integrate Mindbody data within your Bolt.new AI project. Insert the following code where appropriate in your main file:

import { fetchAppointments } from './mindbodyService';

(async () => {
  const appointments = await fetchAppointments();
  console.log('Fetched appointments from Mindbody:', appointments);
  // Integrate fetched appointments with your Bolt.new AI functionality here.
  // For example, you might pass the data to a component or trigger a workflow.
})();

This self-invoking async function fetches appointment data from Mindbody and prints it to the console. Adjust this section as needed to fit your application’s logic.

 

Configuring Environment Variables

  It is a best practice to store sensitive data like API keys in environment variables. In Bolt.new AI, use the secrets or environment variable management tool to set MINDBODYAPIKEY. This ensures your API key isn’t hard-coded. Find the configuration section in the Bolt.new AI interface and add:

// Environment variable configuration example
MINDBODYAPIKEY=youractualmindbodyapikey_here

Now, your code will automatically pick up the API key from the environment variable, enhancing security.

 

Testing Your Integration

  After adding the above files and code snippets, save your project files. Use Bolt.new AI’s preview or run functionality to execute your project. Check the console output for the list of appointments fetched from Mindbody. Any integration issues will be logged in the console for troubleshooting.