How to integrate D2lbrightspace MCP with CrewAI

This guide walks you through connecting D2lbrightspace to CrewAI 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 CrewAI 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.

Get started for free Get a demo

D2lbrightspace

Oauth2

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

Managed auth

Connect D2lbrightspace without auth hassles

We manage OAuth, API keys, token refresh, and scopes — you just build.

Try for free

Introduction

This guide will help you understand how to give your CrewAI 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.

Also integrate D2lbrightspace with

OpenAI Agents SDK Claude Agent SDK Claude Code Claude Cowork Codex OpenClaw Hermes CLI Google ADK LangChain Vercel AI SDK Mastra AI LlamaIndex

TL;DR

Here's what you'll learn:

Get a Composio API key and configure your D2lbrightspace connection
Set up CrewAI with an MCP enabled agent
Create a Tool Router session or standalone MCP server for D2lbrightspace
Build a conversational loop where your agent can execute D2lbrightspace operations

What is CrewAI?

CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews.

Key features include:

Agent Roles: Define specialized agents with specific goals and backstories
Task Management: Create tasks with clear descriptions and expected outputs
Crew Orchestration: Combine agents and tasks into collaborative workflows
MCP Integration: Connect to external tools through Model Context Protocol

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:

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

Step-by-step Guide

Step by step08 STEPS

Prerequisites

Before starting, make sure you have:

Python 3.9 or higher
A Composio account and API key
A D2lbrightspace connection authorized in Composio
An OpenAI API key for the CrewAI LLM
Basic familiarity with Python

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

Log in to the Composio dashboard.
Navigate to your API settings and generate a new API key.
Store this key securely as you'll need it for authentication.

Install dependencies

bash

pip install composio crewai crewai-tools[mcp] python-dotenv

What's happening:

composio connects your agent to D2lbrightspace via MCP
crewai provides Agent, Task, Crew, and LLM primitives
crewai-tools[mcp] includes MCP helpers
python-dotenv loads environment variables from .env

Set up environment variables

bash

COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

COMPOSIO_API_KEY authenticates with Composio
USER_ID scopes the session to your account
OPENAI_API_KEY lets CrewAI use your chosen OpenAI model

Import dependencies

python

import os
from composio import Composio
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
import dotenv

dotenv.load_dotenv()

COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set")

What's happening:

CrewAI classes define agents and tasks, and run the workflow
MCPServerHTTP connects the agent to an MCP endpoint
Composio will give you a short lived D2lbrightspace MCP URL

Create a Composio Tool Router session for D2lbrightspace

python

composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["d2lbrightspace"])

url = session.mcp.url

What's happening:

You create a D2lbrightspace only session through Composio
Composio returns an MCP HTTP URL that exposes D2lbrightspace tools

Initialize the MCP Server

python

server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users search the internet effectively",
        backstory="You are a helpful assistant with access to search tools.",
        tools=tools,
        verbose=False,
        max_iter=10,
    )

What's Happening:

Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication.
MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format.
Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools.
Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops.
Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries.

Create a CLI Chatloop and define the Crew

python

print("Chat started! Type 'exit' or 'quit' to end.\n")

conversation_context = ""

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_context += f"\nUser: {user_input}\n"
    print("\nAgent is thinking...\n")

    task = Task(
        description=(
            f"Conversation history:\n{conversation_context}\n\n"
            f"Current request: {user_input}"
        ),
        expected_output="A helpful response addressing the user's request",
        agent=agent,
    )

    crew = Crew(agents=[agent], tasks=[task], verbose=False)
    result = crew.kickoff()
    response = str(result)

    conversation_context += f"Agent: {response}\n"
    print(f"Agent: {response}\n")

What's Happening:

Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable.
Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean.
Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses.
Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context.
Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response.
Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity.

Complete Code

Here's the complete code to get you started with D2lbrightspace and CrewAI:

python

from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter
from composio import Composio
from dotenv import load_dotenv
import os

load_dotenv()

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

# Initialize Composio and create a session
composio = Composio(api_key=COMPOSIO_API_KEY)
session = composio.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["d2lbrightspace"],
)
url = session.mcp.url

# Configure LLM
llm = LLM(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY"),
)

server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users with internet searches",
        backstory="You are an expert assistant with access to Composio Search tools.",
        tools=tools,
        llm=llm,
        verbose=False,
        max_iter=10,
    )

    print("Chat started! Type 'exit' or 'quit' to end.\n")

    conversation_context = ""

    while True:
        user_input = input("You: ").strip()

        if user_input.lower() in ["exit", "quit", "bye"]:
            print("\nGoodbye!")
            break

        if not user_input:
            continue

        conversation_context += f"\nUser: {user_input}\n"
        print("\nAgent is thinking...\n")

        task = Task(
            description=(
                f"Conversation history:\n{conversation_context}\n\n"
                f"Current request: {user_input}"
            ),
            expected_output="A helpful response addressing the user's request",
            agent=agent,
        )

        crew = Crew(agents=[agent], tasks=[task], verbose=False)
        result = crew.kickoff()
        response = str(result)

        conversation_context += f"Agent: {response}\n"
        print(f"Agent: {response}\n")

Conclusion

You now have a CrewAI agent connected to D2lbrightspace through Composio's Tool Router. The agent can perform D2lbrightspace operations through natural language commands.

Next steps:

Add role-specific instructions to customize agent behavior
Plug in more toolkits for multi-app workflows
Chain tasks for complex multi-step operations

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.

FRAMEWORKS

How to build D2lbrightspace MCP Agent with another framework

OpenAI Agents SDK

Use D2lbrightspace MCP with OpenAI Agents SDK

Claude Agent SDK

Use D2lbrightspace MCP with Claude Agent SDK

Claude Code

Use D2lbrightspace MCP with Claude Code

Claude Cowork

Use D2lbrightspace MCP with Claude Cowork

Codex

Use D2lbrightspace MCP with Codex

OpenClaw

Use D2lbrightspace MCP with OpenClaw

Hermes

Use D2lbrightspace MCP with Hermes

CLI

Use D2lbrightspace MCP with CLI

Google ADK

Use D2lbrightspace MCP with Google ADK

LangChain

Use D2lbrightspace MCP with LangChain

Vercel AI SDK

Use D2lbrightspace MCP with Vercel AI SDK

Mastra AI

Use D2lbrightspace MCP with Mastra AI

LlamaIndex

Use D2lbrightspace MCP with LlamaIndex

MORE TOOLKITS

Explore Other Toolkits

Toolkit marketplace

Canvas

Oauth2Api Key

Canvas is a learning management system for online courses, assignments, grading, and collaboration. It's trusted by educators and students to streamline virtual classrooms and enhance digital learning.

Accredible certificates

Api Key

Accredible Certificates is a platform for creating and managing digital certificates, badges, and blockchain credentials. It streamlines issuing, tracking, and verifying professional achievements for organizations of any size.

Api bible

Api Key

API.Bible is a developer platform for Scripture content and passage search. Easily integrate Bible verses and translations into your apps or chatbots.

Blackboard

Oauth2

Blackboard is a digital learning platform for higher education and schools, offering tools to manage courses, track engagement, and deliver interactive content. It helps institutions improve student outcomes through actionable analytics and in-app guidance.

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. CrewAI 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.

Start with D2lbrightspace.It takes 30 seconds.

Managed auth, hosted MCP servers, and every D2lbrightspace tool your agent needs.Free to start.

Start building

Customer stories

Teams ship real agents on Composio

GET STARTED FOR FREE BOOK A DEMO

Karan skipped his own birthday party to fix our critical issue. It was 10pm and he diverted his Waymo to help us instead. This really sets the bar — it shows the commitment you need when users rely on your software.

Harsha Gaddipati

Co-founder, Slashy

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

Abhi Arya

Co-founder, Opennote

We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

Nirman Dave

CEO, Zams

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

Ryan Yu

Founder, Extra Thursday

Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

Tomisin Jenrola

Founder & CEO, SwarmZero

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Jerome Leclanche

Co-Founder, Ingram Technologies

How to integrate D2lbrightspace MCP with CrewAI

Connect D2lbrightspace without auth hassles

Introduction

Also integrate D2lbrightspace with

TL;DR

What is CrewAI?

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

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

What is Composio SDK?

How the Composio SDK works

Step-by-step Guide

Prerequisites

Getting API Keys for OpenAI and Composio

Install dependencies

Set up environment variables

Import dependencies

Create a Composio Tool Router session for D2lbrightspace

Initialize the MCP Server

Create a CLI Chatloop and define the Crew

Complete Code

Conclusion

Supported Tools

How to build D2lbrightspace MCP Agent with another framework

OpenAI Agents SDK

Claude Agent SDK

Claude Code

Claude Cowork

Codex

OpenClaw

Hermes

CLI

Google ADK

LangChain

Vercel AI SDK

Mastra AI

LlamaIndex

Explore Other Toolkits

Canvas

Accredible certificates

Api bible

Blackboard

Frequently asked questions

What are the differences in Tool Router MCP and D2lbrightspace MCP?+

Can I use Tool Router MCP with CrewAI?+

Can I manage the permissions and scopes for D2lbrightspace while using Tool Router?+

How safe is my data with Composio Tool Router?+

Start with D2lbrightspace.It takes 30 seconds.

Teams ship real agents on Composio