How to Use the D2L Brightspace MCP in Vercel AI SDK

Q: How do I connect D2L Brightspace to my Vercel AI SDK app?

Install the @ai-sdk/mcp package and initialize the client with your Vinkius endpoint. Pass the tools from mcpClient.tools() directly into streamText to let your agent call LMS functions.

Q: How does the Vercel AI SDK handle long-running course copies?

The SDK initiates the job by calling copycourse through the MCP connection. Since the job runs asynchronously on the LMS side, your agent can check back later or update the UI state immediately.

Pipe real-time student grades and course updates directly into your React UI using the Vercel AI SDK and this D2L Brightspace MCP Server.

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Connect D2L Brightspace MCP to Vercel AI SDK

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

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Setup D2L Brightspace with Vercel AI SDK

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Live Grade Updates in Your Vercel AI SDK App

Your users won't wait for a spinning wheel to check their standing when you query `get_user_grade` and `list_grades`. The AI client fetches the numbers and streams them instantly to the student. You don't have to write custom API polling logic or parse complex JSON payloads on the frontend. The SDK handles the streaming connection while this MCP Server translates the raw LMS data into UI-ready elements.

Instant Course Creation and Copying

Set up new academic terms using `create_course` or `copy_course` to replicate existing templates instantly. It handles the backend heavy lifting while your frontend displays the progress bar. This approach cuts down on setup errors because the agent matches template IDs perfectly. It pulls the template info with `get_course_template` and spins up the new shell in seconds.

Immediate Feedback and Grading Loops

Instructors can draft and post evaluations using `provide_feedback` and `update_user_grade` directly through the chat interface. The student sees their updated score live in the web app. You can build custom dashboards that let teachers review assignments in batches. The agent pulls submissions using `list_submissions` and feeds them straight into your streaming UI.

Setup guide

Set up D2L Brightspace MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all D2L Brightspace tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent D2L Brightspace transactions",
});

console.log(text);
await mcpClient.close();

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

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

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Common questions about D2L Brightspace MCP in Vercel AI SDK

Install the `@ai-sdk/mcp` package and initialize the client with your Vinkius endpoint. Pass the tools from `mcpClient.tools()` directly into `streamText` to let your agent call LMS functions.

Yes. The server runs on Vinkius, meaning your Vercel AI SDK frontend only needs to make standard HTTP requests, keeping your edge cold-start times minimal.

The SDK initiates the job by calling `copy_course` through the MCP connection. Since the job runs asynchronously on the LMS side, your agent can check back later or update the UI state immediately.

No. Vinkius manages the authentication layer. You configure the credential once, and your application uses a single secure endpoint token to talk to the LMS.

Yes. This server processes sensitive student grade data from `get_user_grade` inside isolated Vinkius V8 sandboxes. Your raw credentials and student records are never stored or exposed to external LLM providers.

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