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

You integrate Bolt.new with Moodle the same way you integrate any external system with Moodle: through Moodle’s existing Web Services API (REST), using a Token, and then calling those Moodle endpoints from the code you write inside your Bolt.new project. Bolt.new itself does not have a special “Moodle connector” — you just use normal HTTP calls. In Bolt.new you scaffold a small backend (Node/Express or Python/FastAPI) that stores your Moodle token in environment variables, calls Moodle REST endpoints, and exposes your own routes or UI that interact with Moodle data.

 

What “Integrating Bolt.new with Moodle” Really Means

 

Bolt.new is your AI-assisted development workspace. It does not directly plug into Moodle. You integrate by writing code in Bolt.new that talks to Moodle via:

• REST API – Moodle exposes many functions via /webservice/rest/server.php.
• Token authentication – You generate a token inside Moodle for a specific service.
• Environment variables – In Bolt.new, you store MOODLE_URL and MOODLE_TOKEN.
• HTTP client – fetch, axios, or Python requests from your Bolt app.

This is the same pattern used in production. Bolt.new just helps you build and test the integration fast.

 

Step-by-step: Enable Moodle REST API

 

You must configure Moodle before Bolt.new can talk to it:

• Enable Enable web services in Moodle Admin → Advanced features.
• Enable Enable REST protocol in Admin → Plugins → Web services → Manage protocols.
• Create a Service in Admin → Web services → External services.
• Add Functions you need (example: core_user_get_users, core_course_get_contents).
• Create a Token in Admin → Web services → Manage tokens.

Now you get a URL like:

https://yourmoodle.com/webservice/rest/server.php

And a token such as:

abcd1234xyz

 

Store Moodle credentials inside Bolt.new

 

In Bolt.new’s environment variable panel, add:

• MOODLE\_URL=https://yourmoodle.com/webservice/rest/server.php
• MOODLE\_TOKEN=abcd1234xyz

 

Example: Node.js backend in Bolt.new calling Moodle API

 

This is a minimal working integration you can scaffold and run directly in Bolt.new:

// server.js
import express from "express";
import axios from "axios";

const app = express();
app.use(express.json());

const moodleURL = process.env.MOODLE_URL;
const moodleToken = process.env.MOODLE_TOKEN;

// Example route: fetch users whose username contains 'john'
app.get("/moodle/users", async (req, res) => {
  try {
    const response = await axios.get(moodleURL, {
      params: {
        wstoken: moodleToken,
        wsfunction: "core_user_get_users",
        moodlewsrestformat: "json",
        criteria: JSON.stringify([{ key: "username", value: "john" }])
      }
    });

    res.json(response.data);
  } catch (err) {
    res.status(500).json({ error: err.message });
  }
});

// Example route: get course contents
app.get("/moodle/course/:id", async (req, res) => {
  try {
    const response = await axios.get(moodleURL, {
      params: {
        wstoken: moodleToken,
        wsfunction: "core_course_get_contents",
        moodlewsrestformat: "json",
        courseid: req.params.id
      }
    });

    res.json(response.data);
  } catch (err) {
    res.status(500).json({ error: err.message });
  }
});

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

 

Example frontend call from Bolt.new UI

 

Your UI (React/Vue/Svelte) can call your Bolt.new backend normally:

// fetch course contents from your backend API
const res = await fetch("/moodle/course/10");
const data = await res.json();

// Now data contains Moodle course sections
console.log(data);

 

What You Can Build with This Pattern

 

• A dashboard that pulls Moodle courses and assignments.
• An AI assistant that reads Moodle content and generates summaries.
• Automations: create users, enroll students, auto-generate activity reports.
• AI-driven tutoring or grading helpers pulling real Moodle data.

 

Production Hardening (beyond Bolt.new)

 

• Store Moodle token in a secret manager (Vault, AWS SSM, Cloud Run secrets).
• Add server-side rate limiting since Moodle APIs can be slow under load.
• Use HTTPS everywhere — Moodle tokens work like passwords.
• Limit Moodle service functions to only what your app needs.

 

If you follow the steps above — enable Moodle REST, generate a token, store the token in Bolt.new env vars, and make standard HTTP requests — you get a clean, correct, and fully working integration between Bolt.new code and Moodle.