How to integrate D2lbrightspace MCP with OpenAI Agents SDK

This guide walks you through connecting D2lbrightspace to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working D2lbrightspace agent that can create a new quiz for your math course, add a new user to the spring semester, copy an instructor role for a new department through natural language commands. This guide will help you understand how to give your OpenAI Agents SDK agent real control over a D2lbrightspace account through Composio's D2lbrightspace MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

D2lbrightspace logoD2lbrightspace
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D2L Brightspace is a learning management system for delivering and managing online courses and assessments. It helps educators streamline digital teaching, assignments, and communication with students.

45 Tools

Introduction

This guide walks you through connecting D2lbrightspace to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working D2lbrightspace agent that can create a new quiz for your math course, add a new user to the spring semester, copy an instructor role for a new department through natural language commands.

This guide will help you understand how to give your OpenAI Agents SDK agent real control over a D2lbrightspace account through Composio's D2lbrightspace MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

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TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Install the necessary dependencies
  • Initialize Composio and create a Tool Router session for D2lbrightspace
  • Configure an AI agent that can use D2lbrightspace as a tool
  • Run a live chat session where you can ask the agent to perform D2lbrightspace operations

What is OpenAI Agents SDK?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.

Key features include:

  • Hosted MCP Tools: Connect to external services through hosted MCP endpoints
  • SQLite Sessions: Persist conversation history across interactions
  • Simple API: Clean interface with Agent, Runner, and tool configuration
  • Streaming Support: Real-time response streaming for interactive applications

What is the D2lbrightspace MCP server, and what's possible with it?

The D2lbrightspace MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your D2L Brightspace account. It provides structured and secure access to your LMS, so your agent can perform actions like creating courses, managing quizzes, handling user enrollment, and automating gradebook operations on your behalf.

  • Automated course creation and management: Instantly create new courses, course offerings, or templates, and streamline updates or deletions without manual intervention.
  • Quiz and assessment automation: Let your agent set up new quizzes, organize quiz categories, and configure assessment parameters to enhance the learning experience.
  • Gradebook and feedback management: Effortlessly create, modify, or delete grade objects to keep your course grading up to date and provide prompt feedback to learners.
  • User enrollment and management: Create new user accounts, manage user roles, and handle enrollment or impersonation tasks to simplify onboarding and administration.
  • Role and permissions control: Copy existing roles, adjust specific permissions, and fine-tune access for different user groups—all directly through your agent.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Composio API Key and OpenAI API Key
  • Primary know-how of OpenAI Agents SDK
  • A live D2lbrightspace project
  • Some knowledge of Python or Typescript
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
  • Keep the API key safe.
Composio API Key
3

Install dependencies

npm install @composio/openai-agents @openai/agents dotenv

Install the Composio SDK and the OpenAI Agents SDK.

4

Set up environment variables

bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com

Create a .env file and add your OpenAI and Composio API keys.

5

Import dependencies

import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';
What's happening:
  • You're importing all necessary libraries.
  • The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like D2lbrightspace.
6

Set up the Composio instance

dotenv.config();

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});
What's happening:
  • dotenv.config() loads your .env file so COMPOSIO_API_KEY and USER_ID are available as environment variables.
  • Creating a Composio instance using the API Key and OpenAIAgentsProvider class.
7

Create a Tool Router session

// Create Tool Router session for D2lbrightspace
const session = await composio.create(userId as string, {
  toolkits: ['d2lbrightspace'],
});
const mcpUrl = session.mcp.url;

What is happening:

  • You give the Tool Router the user id and the toolkits you want available. Here, it is only d2lbrightspace.
  • The router checks the user's D2lbrightspace connection and prepares the MCP endpoint.
  • The returned session.mcp.url is the MCP URL that your agent will use to access D2lbrightspace.
  • This approach keeps things lightweight and lets the agent request D2lbrightspace tools only when needed during the conversation.
8

Configure the agent

// Configure agent with MCP tool
const agent = new Agent({
  name: 'Assistant',
  model: 'gpt-5',
  instructions:
    'You are a helpful assistant that can access D2lbrightspace. Help users perform D2lbrightspace operations through natural language.',
  tools: [
    hostedMcpTool({
      serverLabel: 'tool_router',
      serverUrl: mcpUrl,
      headers: { 'x-api-key': composioApiKey },
      requireApproval: 'never',
    }),
  ],
});
What's happening:
  • We're creating an Agent instance with a name, model (gpt-5), and clear instructions about its purpose.
  • The agent's instructions tell it that it can access D2lbrightspace and help with queries, inserts, updates, authentication, and fetching database information.
  • The tools array includes a hostedMcpTool that connects to the MCP server URL we created earlier.
  • The headers object includes the Composio API key for secure authentication with the MCP server.
  • requireApproval: 'never' means the agent can execute D2lbrightspace operations without asking for permission each time, making interactions smoother.
9

Start chat loop and handle conversation

// Keep conversation state across turns
const conversationSession = new OpenAIConversationsSession();

// Simple CLI
const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: 'You: ',
});

console.log('\nComposio Tool Router session created.');
console.log('\nChat started. Type your requests below.');
console.log("Commands: 'exit', 'quit', or 'q' to end\n");

try {
  const first = await run(agent, 'What can you help me with?', { session: conversationSession });
  console.log(`Assistant: ${first.finalOutput}\n`);
} catch (e) {
  console.error('Error:', e instanceof Error ? e.message : e, '\n');
}

rl.prompt();

rl.on('line', async (userInput) => {
  const text = userInput.trim();

  if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
    console.log('Goodbye!');
    rl.close();
    process.exit(0);
  }

  if (!text) {
    rl.prompt();
    return;
  }

  try {
    const result = await run(agent, text, { session: conversationSession });
    console.log(`\nAssistant: ${result.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();
});

rl.on('close', () => {
  console.log('\n👋 Session ended.');
  process.exit(0);
});
What's happening:
  • The program prints a session URL that you visit to authorize D2lbrightspace.
  • After authorization, the chat begins.
  • Each message you type is processed by the agent using run().
  • The responses are printed to the console.
  • Typing exit, quit, or q cleanly ends the chat.

Complete Code

Here's the complete code to get you started with D2lbrightspace and OpenAI Agents SDK:

import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});

async function main() {
  // Create Tool Router session
  const session = await composio.create(userId as string, {
    toolkits: ['d2lbrightspace'],
  });
  const mcpUrl = session.mcp.url;

  // Configure agent with MCP tool
  const agent = new Agent({
    name: 'Assistant',
    model: 'gpt-5',
    instructions:
      'You are a helpful assistant that can access D2lbrightspace. Help users perform D2lbrightspace operations through natural language.',
    tools: [
      hostedMcpTool({
        serverLabel: 'tool_router',
        serverUrl: mcpUrl,
        headers: { 'x-api-key': composioApiKey },
        requireApproval: 'never',
      }),
    ],
  });

  // Keep conversation state across turns
  const conversationSession = new OpenAIConversationsSession();

  // Simple CLI
  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: ',
  });

  console.log('\nComposio Tool Router session created.');
  console.log('\nChat started. Type your requests below.');
  console.log("Commands: 'exit', 'quit', or 'q' to end\n");

  try {
    const first = await run(agent, 'What can you help me with?', { session: conversationSession });
    console.log(`Assistant: ${first.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();

  rl.on('line', async (userInput) => {
    const text = userInput.trim();

    if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
      console.log('Goodbye!');
      rl.close();
      process.exit(0);
    }

    if (!text) {
      rl.prompt();
      return;
    }

    try {
      const result = await run(agent, text, { session: conversationSession });
      console.log(`\nAssistant: ${result.finalOutput}\n`);
    } catch (e) {
      console.error('Error:', e instanceof Error ? e.message : e, '\n');
    }

    rl.prompt();
  });

  rl.on('close', () => {
    console.log('\nSession ended.');
    process.exit(0);
  });
}

main().catch((err) => {
  console.error('Fatal error:', err);
  process.exit(1);
});

Conclusion

This was a starter code for integrating D2lbrightspace MCP with OpenAI Agents SDK to build a functional AI agent that can interact with D2lbrightspace.

Key features:

  • Hosted MCP tool integration through Composio's Tool Router
  • SQLite session persistence for conversation history
  • Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.
TOOLS

Supported Tools

Every D2lbrightspace action and event your agent gets out of the box.

Copy Role

Creates a new role copied from an existing role in D2L Brightspace.

Create Course Offering

Creates a new course offering in D2L Brightspace.

Create Course Template

Creates a new course template in D2L Brightspace.

Create Grade Object

Creates a new grade object for a particular org unit.

Create Quiz

Creates a new quiz in D2L Brightspace.

Create Quiz Category

Creates a new quiz category in D2L Brightspace.

Create User

Creates a new user entity in D2L Brightspace.

Delete Course Template

Deletes a course template from D2L Brightspace.

Delete Course

Deletes a course offering from D2L Brightspace.

Delete Grade Object

Deletes a specific grade object from an org unit.

Delete Quiz

Deletes a quiz from D2L Brightspace.

Delete Quiz Category

Deletes a quiz category from D2L Brightspace.

Delete User

Deletes a user entity from D2L Brightspace.

Delete User Demographics

Deletes one or more of a particular user's associated demographics entries.

Get Course Offering

Retrieves a specific course offering from D2L Brightspace.

Get Course Template

Retrieves a course template from D2L Brightspace.

Get Course Schema

Retrieves the list of parent org unit type constraints for course offerings.

Get Course Template Schema

Retrieves the list of parent org unit type constraints for course offerings built on this template.

Get Current User Information

Retrieves the current user context's user information from D2L Brightspace.

Get Enrolled Roles

Retrieves a list of all enrolled user roles the calling user can view in an org unit.

Get Grade Access

Retrieves a list of users with access to a specified grade.

Get Grade Object

Retrieves a specific grade object for a particular org unit.

Get Grade Objects

Retrieves all current grade objects for a particular org unit.

Get Grade Setup

Retrieves the grades configuration for an org unit.

Get Grade Statistics

Retrieves statistics for a specified grade item.

Get Org Unit Demographics

Retrieves all demographics entries for users enrolled in a particular org unit.

Get Quiz

Retrieves a specific quiz from an org unit.

Get Quiz Access

Retrieves a list of users with access to a specified quiz.

Get Quiz Attempt

Retrieves a specific quiz attempt.

Get Quiz Attempts

Retrieves a list of attempts for a quiz.

Get Quiz Categories

Retrieves all quiz categories belonging to an org unit.

Get Quiz Category

Retrieves a specific quiz category from an org unit.

Get Quiz Questions

Retrieves all questions in a quiz.

Get Quizzes

Retrieves all quizzes belonging to an org unit.

Get Role by ID

Retrieves a particular user role from D2L Brightspace by its ID.

Get Roles

Retrieves a list of all known user roles in D2L Brightspace.

Get User by ID

Retrieves data for a particular user from D2L Brightspace.

Get Users

Retrieves data for one or more users from D2L Brightspace.

Update Course Offering

Updates an existing course offering in D2L Brightspace.

Update Course Template

Updates an existing course template in D2L Brightspace.

Update Grade Object

Updates a specific grade object.

Update Grade Setup

Updates the grades configuration for an org unit.

Update Quiz

Updates an existing quiz in D2L Brightspace.

Update Quiz Category

Updates an existing quiz category in D2L Brightspace.

Update User

Updates an existing user entity in D2L Brightspace.

FAQ

Frequently asked questions

With a standalone D2lbrightspace MCP server, the agents and LLMs can only access a fixed set of D2lbrightspace tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from D2lbrightspace and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. OpenAI Agents SDK fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right D2lbrightspace tools.

Yes, absolutely. You can configure which D2lbrightspace scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your D2lbrightspace data and credentials are handled as safely as possible.

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