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D2L Brightspace MCP Server for LangChainGive LangChain instant access to 33 tools to Copy Course, Create Course, Create Enrollment, and more

MCP Inspector GDPR Free for Subscribers

LangChain is the leading Python framework for composable LLM applications. Connect D2L Brightspace through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this MCP Server for LangChain

The D2L Brightspace MCP Server for LangChain is a standout in the Productivity category — giving your AI agent 33 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "d2l-brightspace": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using D2L Brightspace, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
D2L Brightspace
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About D2L Brightspace MCP Server

Connect your D2L Brightspace environment to any AI agent to streamline learning management and administrative workflows.

LangChain's ecosystem of 500+ components combines seamlessly with D2L Brightspace through native MCP adapters. Connect 33 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

  • Course Management — Retrieve course details, create new offerings, and copy course content between org units using get_course and copy_course.
  • User Administration — List system users, create new accounts, and manage roles and permissions with list_users and create_user.
  • Grade Tracking — Access grade lists and update individual student grades for specific assignments using get_user_grade and update_user_grade.
  • Content & Communication — Explore course modules, manage discussion forums, and create new topics or posts via list_root_modules and create_post.
  • Assessments — Monitor quizzes, surveys, and assignment submissions, and provide direct feedback using list_submissions and provide_feedback.

The D2L Brightspace MCP Server exposes 33 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 33 D2L Brightspace tools available for LangChain

When LangChain connects to D2L Brightspace through Vinkius, your AI agent gets direct access to every tool listed below — spanning course-management, student-records, lms-integration, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

copy

Copy course on D2L Brightspace

Initiate a course copy job

create

Create course on D2L Brightspace

Create a course offering

create

Create enrollment on D2L Brightspace

Enroll a user in an org unit

create

Create lti deployment on D2L Brightspace

Create an LTI Advantage tool deployment

create

Create org unit on D2L Brightspace

Create custom org units

create

Create post on D2L Brightspace

Create a post in a discussion topic

create

Create topic on D2L Brightspace

Create a discussion topic in a forum

create

Create user on D2L Brightspace

Create a new user

delete

Delete enrollment on D2L Brightspace

Unenroll a user from an org unit

get

Get course on D2L Brightspace

Retrieve course details

get

Get course template on D2L Brightspace

Retrieve course template info

get

Get org unit on D2L Brightspace

Retrieve org unit properties

get

Get user grade on D2L Brightspace

Retrieve user grades for a specific grade object

get

Get whoami on D2L Brightspace

Retrieve current user context

list

List assignment folders on D2L Brightspace

List assignment folders (dropboxes)

list

List forums on D2L Brightspace

List discussion forums in a course

list

List grades on D2L Brightspace

List grade objects for a course

list

List legacy lti links on D2L Brightspace

List legacy LTI 1.1 links

list

List lti registrations on D2L Brightspace

List LTI Advantage tool registrations

list

List my enrollments on D2L Brightspace

List current user enrollments

list

List my eportfolio objects on D2L Brightspace

List current user ePortfolio objects

list

List org unit children on D2L Brightspace

List child units of an org unit

list

List quiz attempts on D2L Brightspace

List attempts for a specific quiz

list

List quizzes on D2L Brightspace

List quizzes in a course

list

List roles on D2L Brightspace

Retrieve system roles

list

List root modules on D2L Brightspace

List root modules of course materials

list

List submissions on D2L Brightspace

List submissions for an assignment folder

list

List surveys on D2L Brightspace

List surveys in a course

list

List users on D2L Brightspace

Search or page through users

provide

Provide feedback on D2L Brightspace

Provide feedback for an assignment submission

update

Update user on D2L Brightspace

Update user data

update

Update user grade on D2L Brightspace

Update a user grade

upload

Upload eportfolio artifact on D2L Brightspace

Upload a file artifact to ePortfolio

Connect D2L Brightspace to LangChain via MCP

Follow these steps to wire D2L Brightspace into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 33 tools from D2L Brightspace via MCP

Why Use LangChain with the D2L Brightspace MCP Server

LangChain provides unique advantages when paired with D2L Brightspace through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine D2L Brightspace MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across D2L Brightspace queries for multi-turn workflows

D2L Brightspace + LangChain Use Cases

Practical scenarios where LangChain combined with the D2L Brightspace MCP Server delivers measurable value.

01

RAG with live data: combine D2L Brightspace tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query D2L Brightspace, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain D2L Brightspace tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every D2L Brightspace tool call, measure latency, and optimize your agent's performance

Example Prompts for D2L Brightspace in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with D2L Brightspace immediately.

01

"List all users in my Brightspace instance."

02

"Show me the details for course org unit 8821."

03

"Get the grade for user 554 in course 8821."

Troubleshooting D2L Brightspace MCP Server with LangChain

Common issues when connecting D2L Brightspace to LangChain through Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

D2L Brightspace + LangChain FAQ

Common questions about integrating D2L Brightspace MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

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