How to integrate Google Classroom MCP with Mastra AI

This guide walks you through connecting Google Classroom to Mastra AI using the Composio tool router. By the end, you'll have a working Google Classroom agent that can list all active courses for this teacher, create a new announcement in math class, get details for course id 12345 through natural language commands. This guide will help you understand how to give your Mastra AI agent real control over a Google Classroom account through Composio's Google Classroom MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Google Classroom is a free web service for educators and students to manage assignments and communication. It streamlines classroom collaboration and grading, making teaching simpler and more connected.

62 Tools

Introduction

This guide walks you through connecting Google Classroom to Mastra AI using the Composio tool router. By the end, you'll have a working Google Classroom agent that can list all active courses for this teacher, create a new announcement in math class, get details for course id 12345 through natural language commands.

This guide will help you understand how to give your Mastra AI agent real control over a Google Classroom account through Composio's Google Classroom MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Google Classroom with

ChatGPTOpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenCodeCursorVS CodeOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKLlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • Set up your environment so Mastra, OpenAI, and Composio work together
  • Create a Tool Router session in Composio that exposes Google Classroom tools
  • Connect Mastra's MCP client to the Composio generated MCP URL
  • Fetch Google Classroom tool definitions and attach them as a toolset
  • Build a Mastra agent that can reason, call tools, and return structured results
  • Run an interactive CLI where you can chat with your Google Classroom agent

What is Mastra AI?

Mastra AI is a TypeScript framework for building AI agents with tool support. It provides a clean API for creating agents that can use external services through MCP.

Key features include:

  • MCP Client: Built-in support for Model Context Protocol servers
  • Toolsets: Organize tools into logical groups
  • Step Callbacks: Monitor and debug agent execution
  • OpenAI Integration: Works with OpenAI models via @ai-sdk/openai

What is the Google Classroom MCP server, and what's possible with it?

The Google Classroom MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Google Classroom account. It provides structured and secure access to your classes, assignments, and announcements, so your agent can list courses, manage announcements, create coursework, and handle classroom organization on your behalf.

  • Course and class management: Effortlessly create, list, or delete courses, and get detailed information about any class you manage or attend.
  • Announcement automation: Let your agent create, update, list, or remove announcements in specific courses—keeping students and teachers in the loop.
  • Coursework material handling: Quickly list all coursework materials in a class, so you can track resources and assignments with ease.
  • Streamlined assignment workflows: Organize and distribute assignments and resources, helping automate typical classroom tasks for educators and students.
  • Classroom insights retrieval: Fetch up-to-date details about classes and their structure, enabling your agent to provide summaries or help with enrollment decisions.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Node.js 18 or higher
  • A Composio account with an active API key
  • An OpenAI API key
  • Basic familiarity with TypeScript
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key.
  • You need credits or a connected billing setup to use the models.
  • Store the key somewhere safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Go to Settings and copy your API key.
  • This key lets your Mastra agent talk to Composio and reach Google Classroom through MCP.
3

Install dependencies

bash
npm install @composio/core @mastra/core @mastra/mcp @ai-sdk/openai dotenv

Install the required packages.

What's happening:

  • @composio/core is the Composio SDK for creating MCP sessions
  • @mastra/core provides the Agent class
  • @mastra/mcp is Mastra's MCP client
  • @ai-sdk/openai is the model wrapper for OpenAI
  • dotenv loads environment variables from .env
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your requests to Composio
  • COMPOSIO_USER_ID tells Composio which user this session belongs to
  • OPENAI_API_KEY lets the Mastra agent call OpenAI models
5

Import libraries and validate environment

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({
  apiKey: composioAPIKey as string,
});
What's happening:
  • dotenv/config auto loads your .env so process.env.* is available
  • openai gives you a Mastra compatible model wrapper
  • Agent is the Mastra agent that will call tools and produce answers
  • MCPClient connects Mastra to your Composio MCP server
  • Composio is used to create a Tool Router session
6

Create a Tool Router session for Google Classroom

typescript
async function main() {
  const session = await composio.create(
    composioUserID as string,
    {
      toolkits: ["google_classroom"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("Google Classroom MCP URL:", composioMCPUrl);
What's happening:
  • create spins up a short-lived MCP HTTP endpoint for this user
  • The toolkits array contains "google_classroom" for Google Classroom access
  • session.mcp.url is the MCP URL that Mastra's MCPClient will connect to
7

Configure Mastra MCP client and fetch tools

typescript
const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      nasdaq: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

console.log("Fetching MCP tools from Composio...");
const composioTools = await mcpClient.getTools();
console.log("Number of tools:", Object.keys(composioTools).length);
What's happening:
  • MCPClient takes an id for this client and a list of MCP servers
  • The headers property includes the x-api-key for authentication
  • getTools fetches the tool definitions exposed by the Google Classroom toolkit
8

Create the Mastra agent

typescript
const agent = new Agent({
    name: "google_classroom-mastra-agent",
    instructions: "You are an AI agent with Google Classroom tools via Composio.",
    model: "openai/gpt-5",
  });
What's happening:
  • Agent is the core Mastra agent
  • name is just an identifier for logging and debugging
  • instructions guide the agent to use tools instead of only answering in natural language
  • model uses openai("gpt-5") to configure the underlying LLM
9

Set up interactive chat interface

typescript
let messages: AiMessageType[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end.\n");

const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: "> ",
});

rl.prompt();

rl.on("line", async (userInput: string) => {
  const trimmedInput = userInput.trim();

  if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) {
    console.log("\nGoodbye!");
    rl.close();
    process.exit(0);
  }

  if (!trimmedInput) {
    rl.prompt();
    return;
  }

  messages.push({
    id: crypto.randomUUID(),
    role: "user",
    content: trimmedInput,
  });

  console.log("\nAgent is thinking...\n");

  try {
    const response = await agent.generate(messages, {
      toolsets: {
        google_classroom: composioTools,
      },
      maxSteps: 8,
    });

    const { text } = response;

    if (text && text.trim().length > 0) {
      console.log(`Agent: ${text}\n`);
        messages.push({
          id: crypto.randomUUID(),
          role: "assistant",
          content: text,
        });
      }
    } catch (error) {
      console.error("\nError:", error);
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    console.log("\nSession ended.");
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});
What's happening:
  • messages keeps the full conversation history in Mastra's expected format
  • agent.generate runs the agent with conversation history and Google Classroom toolsets
  • maxSteps limits how many tool calls the agent can take in a single run
  • onStepFinish is a hook that prints intermediate steps for debugging

Complete Code

Here's the complete code to get you started with Google Classroom and Mastra AI:

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({ apiKey: composioAPIKey as string });

async function main() {
  const session = await composio.create(composioUserID as string, {
    toolkits: ["google_classroom"],
  });

  const composioMCPUrl = session.mcp.url;

  const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      google_classroom: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "google_classroom-mastra-agent",
    instructions: "You are an AI agent with Google Classroom tools via Composio.",
    model: "openai/gpt-5",
  });

  let messages: AiMessageType[] = [];

  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: "> ",
  });

  rl.prompt();

  rl.on("line", async (input: string) => {
    const trimmed = input.trim();
    if (["exit", "quit"].includes(trimmed.toLowerCase())) {
      rl.close();
      return;
    }

    messages.push({ id: crypto.randomUUID(), role: "user", content: trimmed });

    const { text } = await agent.generate(messages, {
      toolsets: { google_classroom: composioTools },
      maxSteps: 8,
    });

    if (text) {
      console.log(`Agent: ${text}\n`);
      messages.push({ id: crypto.randomUUID(), role: "assistant", content: text });
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main();

Conclusion

You've built a Mastra AI agent that can interact with Google Classroom through Composio's Tool Router. You can extend this further by:
  • Adding other toolkits like Gmail, Slack, or GitHub
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows
TOOLS

Supported Tools

Every Google Classroom action and event your agent gets out of the box.

Create Course Alias

Tool to create an alias for a course.

Delete Course Alias

Tool to delete an alias of a course.

List Course Aliases

Tool to list aliases for a course.

Create Announcement

Tool to create an announcement in a course.

Delete Announcement

Tool to delete an announcement.

Get Announcement

Tool to get an announcement.

Get Add-on Context for Announcement

Tool to get metadata for Classroom add-ons in the context of a specific announcement post.

List Announcements

Tool to list announcements in a course.

Modify Announcement Assignees

Tool to modify assignee mode and options of an announcement.

Patch Announcement

Tool to update fields of an announcement.

Delete Add-on Attachment

Tool to delete an add-on attachment from a course announcement.

Get Add-on Attachment

Tool to get an add-on attachment from an announcement.

List Add-on Attachments

Tool to list all add-on attachments created under an announcement.

Delete Add-on Attachment

Tool to delete an add-on attachment from course work.

Get Add-on Context for Course Work

Tool to get metadata for Classroom add-ons in the context of a specific course work.

List Add-on Attachments on Course Work Material

Tool to list all add-on attachments under a course work material post.

Delete Course Work Material

Tool to delete a course work material.

Modify CourseWork Assignees

Tool to modify assignee mode and options of coursework.

Patch Course Work

Tool to update one or more fields of a course work.

List Course Work Rubrics

Tool to list rubrics for a specific coursework.

Create Course

Tool to create a new course.

Delete Course

Tool to delete a course.

Get Course

Tool to get details for a specific course.

Get Grading Period Settings

Tool to retrieve grading period settings for a course.

List Courses

Tool to list all courses accessible to the authenticated user.

Patch Course

Tool to update one or more fields of a Classroom course.

List Post Add-on Attachments

Tool to list all add-on attachments created under a post.

Get Add-on Context for Post

Tool to get metadata for Classroom add-ons in the context of a specific post.

Add Student to Course

Tool to add a student to a course.

Delete Course Student

Tool to delete a student from a course.

Get Course Student

Tool to retrieve a specific student of a course.

List Student Guardians

Tool to list guardians of a student in a course.

List Course Students

Tool to list students in a course.

Delete Course Teacher

Tool to delete a teacher from a course.

Get Teacher

Tool to get teacher enrollment.

List Course Teachers

Tool to list teachers in a course.

Create Course Topic

Tool to create a course topic.

Delete Course Topic

Tool to delete a course topic.

Get Course Topic

Tool to get a course topic.

List Course Topics

Tool to list topics in a course.

Patch Course Topic

Tool to update fields of a course topic.

Update Course

Tool to update a course.

Patch Course Work Material

Tool to update fields of a course work material.

Create CourseWork

Tool to create a CourseWork item in a course.

Delete CourseWork

Tool to delete a specific CourseWork.

Get CourseWork

Tool to get details of a specific coursework.

List CourseWork

Tool to list coursework in a course.

Create Course Work Material

Tool to create course work material.

Get Coursework Material

Tool to get a coursework material.

List CourseWorkMaterials

Tool to list course work materials in a course.

List Student Submissions

Tool to list student submissions for a specific coursework.

Reclaim Student Submission

Tool to reclaim a student submission for editing.

Get CourseWork Add-on Attachment

Tool to get an add-on attachment from course work.

Get Add-on Context for Course Work Material

Tool to get metadata for Classroom add-ons in the context of a specific course work material.

Create Invitation

Tool to create an invitation for a user to a course.

Delete Invitation

Tool to delete an invitation.

Get Invitation

Tool to retrieve an invitation by its identifier.

List Invitations

Tool to list invitations that the requesting user is permitted to view.

List Course Student Groups

Tool to list student groups in a course.

List CourseWork Add-on Attachments

Tool to list all add-on attachments created by an add-on under a course work.

Create Registration

Tool to create a registration for push notifications from Google Classroom.

Get User Profile

Tool to retrieve a user profile by user ID.

FRAMEWORKS

How to build Google Classroom MCP Agent with another framework

ChatGPT logo

ChatGPT

Use Google Classroom MCP with ChatGPT

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Google Classroom MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Google Classroom MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Google Classroom MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Google Classroom MCP with Claude Cowork

Codex logo

Codex

Use Google Classroom MCP with Codex

Cursor logo

Cursor

Use Google Classroom MCP with Cursor

OpenClaw logo

OpenClaw

Use Google Classroom MCP with OpenClaw

Hermes logo

Hermes

Use Google Classroom MCP with Hermes

CLI logo

CLI

Use Google Classroom MCP with CLI

Google ADK logo

Google ADK

Use Google Classroom MCP with Google ADK

LangChain logo

LangChain

Use Google Classroom MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Google Classroom MCP with Vercel AI SDK

LlamaIndex logo

LlamaIndex

Use Google Classroom MCP with LlamaIndex

CrewAI logo

CrewAI

Use Google Classroom MCP with CrewAI

OpenCode logo

OpenCode

Use Google Classroom MCP with OpenCode

VS Code logo

VS Code

Use Google Classroom MCP with VS Code

FAQ

Frequently asked questions

With a standalone Google Classroom MCP server, the agents and LLMs can only access a fixed set of Google Classroom tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Google Classroom and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. Mastra AI fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Google Classroom tools.

Yes, absolutely. You can configure which Google Classroom scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Google Classroom data and credentials are handled as safely as possible.

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A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

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