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Classe365 MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 7 tools to Create Student Profile, Get Student Details, List Academic Records, and more

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The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Classe365 through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

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The Classe365 app connector for Vercel AI SDK is a standout in the Human Resources category — giving your AI agent 7 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Classe365, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Classe365
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Classe365 MCP Server

Connect your Classe365 student management system to any AI agent and simplify how you coordinate your educational institution, student directory, and academic records through natural conversation.

The Vercel AI SDK gives every Classe365 tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 7 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Student Lifecycle — List all students, create new academic profiles, and retrieve detailed metadata for individual enrollments.
  • Academic Oversight — List academic departments, sections, and classes to understand your institution's hierarchy.
  • Performance Monitoring — List and query student attendance history and exam assessment scores via AI.
  • School Operations — Verify configured subjects and class distributions directly from the agent.
  • Data Insights — Fetch complete student metadata including contact info and course progress.
  • Administrative Efficiency — Automate student registrations and record-keeping without leaving your workspace.

The Classe365 MCP Server exposes 7 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 7 Classe365 tools available for Vercel AI SDK

When Vercel AI SDK connects to Classe365 through Vinkius, your AI agent gets direct access to every tool listed below — spanning student-information-system, academic-management, admissions-tracking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_student_profile

Add a new student

get_student_details

Get details for a specific student

list_academic_records

List academic departments and sections

list_exam_assessments

List assessments and scores

list_school_classes

List configured classes

list_student_attendance

List student attendance history

list_students

List Classe365 students

Connect Classe365 to Vercel AI SDK via MCP

Follow these steps to wire Classe365 into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 7 tools from Classe365 and passes them to the LLM

Why Use Vercel AI SDK with the Classe365 MCP Server

Vercel AI SDK provides unique advantages when paired with Classe365 through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Classe365 integration everywhere

03

Built-in streaming UI primitives let you display Classe365 tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Classe365 + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Classe365 MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Classe365 in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Classe365 tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Classe365 capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Classe365 through natural language queries

Example Prompts for Classe365 in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Classe365 immediately.

01

"List all active students in my school account."

02

"Show me the attendance record for student 'std_10293'."

03

"Create a student profile for 'Anna White' (anna@example.com)."

Troubleshooting Classe365 MCP Server with Vercel AI SDK

Common issues when connecting Classe365 to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Classe365 + Vercel AI SDK FAQ

Common questions about integrating Classe365 MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.