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Google Classroom MCP Server for Vercel AI SDK 14 tools — connect in under 2 minutes

Built by Vinkius GDPR 14 Tools SDK

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

Vinkius supports streamable HTTP and SSE.

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 Google Classroom, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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About Google Classroom MCP Server

Connect your Google Classroom to any AI agent and streamline your teaching workflows through natural conversation. Manage courses, create assignments, track student submissions, and grade work — all via AI commands.

The Vercel AI SDK gives every Google Classroom tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 14 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

  • Course Management — List, create, and update courses with full details
  • Roster Tracking — List enrolled students and assigned teachers for any course
  • Assignments — Create coursework, set due dates, and track all assignments
  • Submission Monitoring — Check who turned in work, who's late, and who hasn't submitted
  • Grading — Review individual submissions, return graded work to students
  • Announcements — Post important updates to the course stream

The Google Classroom MCP Server exposes 14 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.

How to Connect Google Classroom to Vercel AI SDK via MCP

Follow these steps to integrate the Google Classroom MCP Server with Vercel AI SDK.

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 14 tools from Google Classroom and passes them to the LLM

Why Use Vercel AI SDK with the Google Classroom MCP Server

Vercel AI SDK provides unique advantages when paired with Google Classroom 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 Google Classroom integration everywhere

03

Built-in streaming UI primitives let you display Google Classroom 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

Google Classroom + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Google Classroom MCP Tools for Vercel AI SDK (14)

These 14 tools become available when you connect Google Classroom to Vercel AI SDK via MCP:

01

create_announcement

Announcements appear in the course stream and can be used for important updates, reminders, or general communication. Post a new announcement to a Google Classroom course

02

create_course

Returns the new course ID for future reference. Only users with appropriate permissions can create courses. Create a new Google Classroom course

03

create_course_work

The assignment will be visible to all students in the course. Supports assignments, quizzes, and materials types. Create a new assignment or coursework in Google Classroom

04

get_course

Use the course ID obtained from list_courses. Get details of a specific Google Classroom course

05

get_submission

Get a specific student's submission details

06

list_announcements

Use this to check recent course announcements and important updates. List all announcements in a Google Classroom course

07

list_course_work

Returns assignment title, due date, state (DRAFT/PUBLISHED), max points, and creation time. Use this to track all assignments and their deadlines. List all assignments and coursework for a Google Classroom course

08

list_courses

Essential first step to identify which course to work with before querying students, assignments, or submissions. List all Google Classroom courses

09

list_students

Use this to check enrollment, identify students for grading, or verify class roster. List all students enrolled in a Google Classroom course

10

list_submissions

Returns student ID, submission state (NEW/CREATED/TURNED_IN/RETURNED), grade, and late status. List student submissions for a specific assignment

11

list_teachers

List all teachers of a Google Classroom course

12

return_submission

This is typically done after the teacher has reviewed and graded the work. The student will be notified that their work has been returned. Return a graded assignment to the student

13

turn_in_submission

The student must have created the submission first. This is equivalent to clicking "Turn In" in the Classroom UI. Turn in a student's assignment submission

14

update_course

Requires the course ID and at least one field to update. Update an existing Google Classroom course

Example Prompts for Google Classroom in Vercel AI SDK

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

01

"List all my courses and show students in Math 101."

02

"Create an assignment called 'Chapter 5 Problems' due 2024-05-15 for course 12345, max 100 points."

03

"Show me who turned in the Chapter 5 assignment."

Troubleshooting Google Classroom MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Google Classroom + Vercel AI SDK FAQ

Common questions about integrating Google Classroom 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.

Connect Google Classroom to Vercel AI SDK

Get your token, paste the configuration, and start using 14 tools in under 2 minutes. No API key management needed.