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

Built by Vinkius GDPR 14 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Google Classroom through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

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

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Google Classroom Agent",
    instructions:
      "You help users interact with Google Classroom " +
      "using 14 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Google Classroom?"
  );
  console.log(result.text);
}

main();
Google Classroom
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* 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 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.

Mastra's agent abstraction provides a clean separation between LLM logic and Google Classroom tool infrastructure. Connect 14 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI via MCP

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

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

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

04

Explore tools

Mastra discovers 14 tools from Google Classroom via MCP

Why Use Mastra AI with the Google Classroom MCP Server

Mastra AI provides unique advantages when paired with Google Classroom through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Google Classroom without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Google Classroom tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Google Classroom + Mastra AI Use Cases

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

01

Automated workflows: build multi-step agents that query Google Classroom, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Google Classroom as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Google Classroom on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Google Classroom tools alongside other MCP servers

Google Classroom MCP Tools for Mastra AI (14)

These 14 tools become available when you connect Google Classroom to Mastra AI 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 Mastra AI

Ready-to-use prompts you can give your Mastra AI 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 Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

Google Classroom + Mastra AI FAQ

Common questions about integrating Google Classroom MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Google Classroom to Mastra AI

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