How to Use the Classe365 MCP in Vercel AI SDK

Q: How do I connect the Classe365 MCP Server to the Vercel AI SDK?

Install @ai-sdk/mcp and set up your transport. Call createMCPClient with the Vinkius endpoint, then pass the exposed tools to streamText.

Q: Can the Vercel AI SDK stream Classe365 attendance data?

Yes. The SDK streams the output of liststudentattendance directly to your React components. Users watch the data populate as the agent fetches it.

Q: How do I list classes in Classe365 using Vercel AI SDK?

Give your agent access to listschoolclasses. When a user asks about the schedule, the agent queries the endpoint and the SDK streams the formatted class list back to the UI.

Build React dashboards that stream live Classe365 student data directly into your frontend using the Vercel AI SDK.

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Connect Classe365 MCP to Vercel AI SDK

Create your Vinkius account to connect Classe365 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 Classe365 with Vercel AI SDK

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Stream Classe365 Data via MCP Server

Your Next.js app needs to show attendance records fast. Instead of building custom API routes, connect your agent to this MCP Server. The `list_student_attendance` tool pulls the raw data while the SDK streams the UI components straight to the browser. Users see the timeline render instantly. When a teacher asks for a specific pupil's history, the agent hits `get_student_details` and pushes the response without waiting for the entire payload to resolve.

Instant Exam Results UI

Parents don't want to wait for loading spinners when checking grades. Wire up the `list_exam_assessments` tool to your chat interface. The Vercel AI SDK handles the chunking while the LLM formats the scores. You get a snappy, edge-compatible application. Hooking up `list_academic_records` lets the frontend display department averages in real-time as the user types their query.

Create Profiles from Chat

Admissions staff can talk to your app to enroll new kids. The agent parses the conversation and fires off `create_student_profile` in the background. Because the SDK supports OAuth authProviders, you know exactly who is adding records. The UI updates instantly as soon as the backend confirms the save.

Setup guide

Set up Classe365 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 Classe365 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 Classe365 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 Classe365. 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 Classe365 MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and set up your transport. Call `createMCPClient` with the Vinkius endpoint, then pass the exposed tools to `streamText`.

Yes. The SDK streams the output of `list_student_attendance` directly to your React components. Users watch the data populate as the agent fetches it.

It runs perfectly on the Edge. The HTTP transport handles the connection to Vinkius without requiring heavy Node.js dependencies.

Give your agent access to `list_school_classes`. When a user asks about the schedule, the agent queries the endpoint and the SDK streams the formatted class list back to the UI.

Vinkius runs the integration in a zero-trust, ephemeral V8 Isolate. Your admission records and exam scores never touch persistent storage outside your controlled API call.

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