How to integrate Google Classroom MCP with Autogen

This guide walks you through connecting Google Classroom to AutoGen 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 AutoGen 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.

Google Classroom logoGoogle Classroom
Oauth2

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 AutoGen 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 AutoGen 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

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Install the required dependencies for Autogen and Composio
  • Initialize Composio and create a Tool Router session for Google Classroom
  • Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
  • Configure an Autogen AssistantAgent that can call Google Classroom tools
  • Run a live chat loop where you ask the agent to perform Google Classroom operations

What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.

Key features include:

  • Multi-Agent Systems: Build collaborative agent workflows
  • MCP Workbench: Native support for Model Context Protocol tools
  • Streaming HTTP: Connect to external services through streamable HTTP
  • AssistantAgent: Pre-built agent class for tool-using assistants

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 step08 STEPS
1

Prerequisites

You will need:

  • A Composio API key
  • An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
  • A Google Classroom account you can connect to Composio
  • Some basic familiarity with Autogen and Python async
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
  • Keep the API key safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

bash
pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools

Install Composio, Autogen extensions, and dotenv.

What's happening:

  • composio connects your agent to Google Classroom via MCP
  • autogen-agentchat provides the AssistantAgent class
  • autogen-ext-openai provides the OpenAI model client
  • autogen-ext-tools provides MCP workbench support

4

Set up environment variables

bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com

Create a .env file in your project folder.

What's happening:

  • COMPOSIO_API_KEY is required to talk to Composio
  • OPENAI_API_KEY is used by Autogen's OpenAI client
  • USER_ID is how Composio identifies which user's Google Classroom connections to use
5

Import dependencies and create Tool Router session

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Google Classroom session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["google_classroom"]
    )
    url = session.mcp.url
What's happening:
  • load_dotenv() reads your .env file
  • Composio(api_key=...) initializes the SDK
  • create(...) creates a Tool Router session that exposes Google Classroom tools
  • session.mcp.url is the MCP endpoint that Autogen will connect to
6

Configure MCP parameters for Autogen

python
# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.

What's happening:

  • url points to the Tool Router MCP endpoint from Composio
  • timeout is the HTTP timeout for requests
  • sse_read_timeout controls how long to wait when streaming responses
  • terminate_on_close=True cleans up the MCP server process when the workbench is closed
7

Create the model client and agent

python
# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Google Classroom assistant agent with MCP tools
    agent = AssistantAgent(
        name="google_classroom_assistant",
        description="An AI assistant that helps with Google Classroom operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )

What's happening:

  • OpenAIChatCompletionClient wraps the OpenAI model for Autogen
  • McpWorkbench connects the agent to the MCP tools
  • AssistantAgent is configured with the Google Classroom tools from the workbench
8

Run the interactive chat loop

python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Google Classroom related question or task to the agent.\n")

# Conversation loop
while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    print("\nAgent is thinking...\n")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")
What's happening:
  • The script prompts you in a loop with You:
  • Autogen passes your input to the model, which decides which Google Classroom tools to call via MCP
  • agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
  • Typing exit, quit, or bye ends the loop

Complete Code

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

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Google Classroom session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["google_classroom"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Google Classroom assistant agent with MCP tools
        agent = AssistantAgent(
            name="google_classroom_assistant",
            description="An AI assistant that helps with Google Classroom operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

        print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
        print("Ask any Google Classroom related question or task to the agent.\n")

        # Conversation loop
        while True:
            user_input = input("You: ").strip()

            if user_input.lower() in ['exit', 'quit', 'bye']:
                print("\nGoodbye!")
                break

            if not user_input:
                continue

            print("\nAgent is thinking...\n")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You now have an Autogen assistant wired into Google Classroom through Composio's Tool Router and MCP. From here you can:
  • Add more toolkits to the toolkits list, for example notion or hubspot
  • Refine the agent description to point it at specific workflows
  • Wrap this script behind a UI, Slack bot, or internal tool
Once the pattern is clear for Google Classroom, you can reuse the same structure for other MCP-enabled apps with minimal code changes.
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.

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. Autogen 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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