How to Use the D2L Brightspace MCP in OpenAI Agents SDK

Q: How do I sync D2L Brightspace data in OpenAI Agents SDK?

Register the server endpoint using the MCPServerStreamableHttp class. Your agent will auto-discover all 33 tools, allowing direct function calls to your course data.

Q: Does D2L Brightspace work with OpenAI Agents SDK tool caching?

Set cacheToolsList=True during initialization to improve performance. This prevents the agent from re-fetching tool definitions on every single turn.

Q: How are D2L Brightspace user records handled?

The server exposes createuser and updateuser tools. You call these directly from your agent to push identity changes into the LMS database.

Administer D2L Brightspace courses directly within your OpenAI Agents SDK production pipeline.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect D2L Brightspace MCP to OpenAI Agents SDK

Create your Vinkius account to connect D2L Brightspace to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup D2L Brightspace with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Full-stack course administration

Trigger `copy_course` or `create_course` actions through your Python agents. You get full control over academic structures without leaving your codebase. Automate your enrollment workflow by calling `create_enrollment` or `delete_enrollment` based on external triggers. The server handles the heavy lifting while your agent maintains the state.

Automated student assessment feedback

Pull student data using `list_submissions` and `get_user_grade` to inform your grading logic. Your agent reads the environment and prepares updates for the instructor. Push those results back to the LMS using `update_user_grade` and `provide_feedback`. Every action stays within your defined safety constraints and tracing logs.

Manage your D2L Brightspace content

Query `list_quizzes` or `list_assignment_folders` to keep your agent updated on course progress. You can even generate new discussion topics with `create_topic` automatically. Organize materials by interacting with `list_root_modules`. This MCP server maps your logic directly to the LMS infrastructure without manual intervention.

Setup guide

Set up D2L Brightspace MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all D2L Brightspace tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives D2L Brightspace tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate D2L Brightspace tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="D2L Brightspace Agent",
            instructions="You have access to D2L Brightspace tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by D2L Brightspace. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect D2L Brightspace now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about D2L Brightspace MCP in OpenAI Agents SDK

Register the server endpoint using the `MCPServerStreamableHttp` class. Your agent will auto-discover all 33 tools, allowing direct function calls to your course data.

Yes. You can implement guardrails within your agent's execution loop to validate tool inputs. This prevents unauthorized grade changes or accidental user deletions.

Set `cacheToolsList=True` during initialization to improve performance. This prevents the agent from re-fetching tool definitions on every single turn.

The server exposes `create_user` and `update_user` tools. You call these directly from your agent to push identity changes into the LMS database.

Vinkius isolates your session, ensuring only your authenticated agent touches sensitive student grades and enrollment records. All traffic passes through a secure, ephemeral tunnel.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript