How to Use the D2L Brightspace MCP in Cursor

Q: Can Cursor help me test an LTI tool integration with D2L Brightspace?

Absolutely. Use the createltideployment tool directly from the chat. You can tell Cursor 'create a new LTI deployment for my tool' and provide the parameters. It's much faster than manual setup in the admin UI.

Inject live D2L Brightspace data and API responses directly into your code with Cursor.

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 Cursor

Create your Vinkius account to connect D2L Brightspace to Cursor 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 Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Stop Using Mock Data

This server connects Cursor to your live D2L Brightspace instance so you can write scripts with actual data. Ask your agent to `list_users` or `list_my_enrollments` and it will inject real user IDs and course codes into your editor. You're no longer guessing at data structures or using stale mock files. This completely changes how you build internal tools. You can ask Cursor, "Write a Python script to find all child org units of ID 123," and it will use `list_org_unit_children` to get the live data and generate working code that uses it. Your first draft is already production-ready.

Test LTI Integrations with this MCP Server

If you're building LTI tools, this server saves you a ton of manual setup. Instead of logging into the D2L admin panel, you can ask Cursor to create a test deployment for you with `create_lti_deployment`. It's perfect for quick iteration while you're coding. You can also manage your existing setup. Get a list of all LTI Advantage registrations with `list_lti_registrations` or check on older `list_legacy_lti_links`. Your agent pulls the info directly into your editor, so you can see your configuration next to the code that uses it.

Automate Student Feedback Loops

Use Cursor to write scripts that interact with student work. You can get a list of all submissions for an assignment with `list_submissions` and then use that data to build a script that calls `provide_feedback` for each one. It's a solid way to build custom grading tools. It also works with ePortfolios. You can have your agent list a user's portfolio objects with `list_my_eportfolio_objects` or even script file uploads with `upload_eportfolio_artifact`. This lets you build custom tools for managing student artifacts without touching the D2L UI.

Setup guide

Set up D2L Brightspace MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the D2L Brightspace MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent D2L Brightspace transactions." If the MCP tools are loaded correctly, Cursor will call the D2L Brightspace tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "d2l-brightspace-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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 Cursor

Enable Agent mode and ask it to write the script for you. For example, 'write a script to enroll these user IDs into course 123'. It will use the `create_enrollment` tool to execute the action and generate the code that did it.

Absolutely. Use the `create_lti_deployment` tool directly from the chat. You can tell Cursor 'create a new LTI deployment for my tool' and provide the parameters. It's much faster than manual setup in the admin UI.

Yes, that's a perfect use case. Just ask your agent to 'list all root modules for course X' and it will call the `list_root_modules` tool and paste the resulting data structure right into your editor.

Yes, they matter completely. The MCP server makes API calls using your personal D2L token. If you don't have permission to create a course in the web UI, you won't be able to do it with the `create_course` tool either.

Student data like submissions and grades only passes through Vinkius's systems ephemerally to fulfill your request. The server operates under your D2L account's permissions, so you can't access data you aren't supposed to see. Nothing is stored.

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