How to Use the DigitalChalk MCP in Vercel AI SDK

Q: How do I stream DigitalChalk exam data using the Vercel AI SDK?

You call mcpClient.tools() and pass the array to streamText. When the user asks about exams, the model invokes listassessmentexams and sends the DigitalChalk payload straight to your UI components.

Q: Can I use Vercel AI SDK to filter DigitalChalk users on the edge?

Yes, you can run searchusersbyidentity inside a Vercel Edge Function to locate student accounts. This keeps your serverless functions from timing out when querying large DigitalChalk databases.

Stream DigitalChalk student profiles and enrollment statistics directly into your Next.js application using the Vercel AI SDK.

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Connect DigitalChalk MCP to Vercel AI SDK

Create your Vinkius account to connect DigitalChalk 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 DigitalChalk with Vercel AI SDK

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Render Live DigitalChalk Profiles in Vercel AI SDK

No one wants to wait for slow database queries when checking student progress. This MCP Server fetches raw data from `get_user_learning_profile` and streams it chunk-by-chunk directly into your Vercel AI SDK frontend. Your React components update dynamically as the DigitalChalk payload arrives. By feeding the output of `list_user_enrollments` straight into `streamText`, you let learners see their active course tracks load without UI freezes.

Search Course Offerings Instantly

Let your Vercel AI SDK client query active syllabus data on demand. When a user searches for an instructor, the model runs `search_users_by_identity` to find the DigitalChalk profile and display matched courses. The model calls `list_course_offerings` and immediately renders the available curriculum options in your Next.js application. This eliminates custom API routes and speeds up response times for your students.

Track Exam Performance on the Edge

Keep tabs on student quiz results directly inside your custom Vercel AI SDK dashboard. This MCP Server lets your agent invoke `list_assessment_exams` and render the structures of active DigitalChalk quizzes. You can instantly flag struggling students by mapping `list_high_performing_learners` against your standard UI tables. It runs entirely on the edge via our MCP Server, keeping your Vercel deployments fast and light.

Setup guide

Set up DigitalChalk 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 DigitalChalk 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 DigitalChalk transactions",
});

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DigitalChalk. 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.

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Common questions about DigitalChalk MCP in Vercel AI SDK

You call `mcpClient.tools()` and pass the array to `streamText`. When the user asks about exams, the model invokes `list_assessment_exams` and sends the DigitalChalk payload straight to your UI components.

Yes, you can run `search_users_by_identity` inside a Vercel Edge Function to locate student accounts. This keeps your serverless functions from timing out when querying large DigitalChalk databases.

It does when you pair the SDK with our managed MCP Server endpoints. The SDK handles the streaming connection, letting you execute `list_user_enrollments` and push the live status directly to your React frontend.

The Vercel AI SDK handles the heavy lifting by rendering the stream incrementally. Your agent calls `get_user_learning_profile` to pull the raw history, and the SDK streams the parsed results to prevent browser lag.

Your DigitalChalk credentials never touch the client-side code of your Vercel AI SDK application. Vinkius runs this MCP Server in an isolated, ephemeral V8 sandbox, meaning student grades and exam results are processed securely in memory and never stored.

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