How to integrate Google Meet MCP with Autogen

Connect Autogen to Google Meet MCP. Schedule a new video meeting for tomorrow, list all meetings i hosted last week, and more using natural language, with authentication handled for you.

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Google Meet is a secure video conferencing platform for virtual meetings, chat, and screen sharing. It helps teams connect, collaborate, and communicate seamlessly from anywhere.

25 Tools

Introduction

This guide walks you through connecting Google Meet to AutoGen using the Composio tool router. By the end, you'll have a working Google Meet agent that can create meeting spaces, fetch recordings and transcripts, list participants, read smart notes, and end active conferences through natural language commands.

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

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

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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 Meet
  • Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
  • Configure an Autogen AssistantAgent that can call Google Meet tools
  • Run a live chat loop where you ask the agent to perform Google Meet 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 Meet MCP server, and what's possible with it?

The Google Meet 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 Meet account. It provides structured and secure access to your meeting spaces, conferences, participants, recordings, and transcripts, so your agent can create meetings, update meeting settings, review attendance, retrieve recordings, and read transcripts on your behalf.

  • Meeting creation and configuration: Have your agent create new Google Meet spaces and update the settings of existing spaces.
  • Conference management: Direct your agent to review past conferences or end a conference that is currently active.
  • Participant and attendance review: Let the agent list meeting participants and inspect their individual attendance sessions.
  • Recording retrieval: Instruct your agent to find recordings associated with a completed conference.
  • Transcript review: Have your agent retrieve structured transcript entries with speaker, timing, and spoken text details.

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 Meet 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 Meet 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 Meet 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 Meet session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["googlemeet"]
    )
    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 Meet 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 Meet assistant agent with MCP tools
    agent = AssistantAgent(
        name="googlemeet_assistant",
        description="An AI assistant that helps with Google Meet 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 Meet 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 Meet 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 Meet 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 Meet 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 Meet session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["googlemeet"]
    )
    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 Meet assistant agent with MCP tools
        agent = AssistantAgent(
            name="googlemeet_assistant",
            description="An AI assistant that helps with Google Meet 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 Meet 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 Meet 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 Meet, you can reuse the same structure for other MCP-enabled apps with minimal code changes.
TOOLS

Supported Tools

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

Batch Update Google Meet Members

Update 1 to 500 Google Meet members in one space in a single batch.

Create Google Meet Space

Creates a new Google Meet space with optional access controls, moderation, recording, or transcription settings, without attaching it to a calendar event.

Create Member

Create a member in a Google Meet space, optionally assigning a co-host role.

Delete Google Meet Space Member

Deletes a member who was previously assigned roles in a Google Meet space.

End active conference

Ends an active conference in a specified Google Meet space, immediately dropping active participants.

Get conference record by name

Tool to get a specific conference record by its resource name.

Get Meet details

Retrieve details of a Google Meet space using its unique identifier.

Get Member

Get a configured Google Meet space member by resource name, including their email and meeting role.

Get Participant

Get a Google Meet conference participant by resource name, including their identity and first-join/last-leave times.

Get Participant Details

Retrieves detailed information about a specific participant session from a Google Meet conference record.

Get Recording

Get a Google Meet recording's metadata by resource name, including its state, timestamps, and Google Drive destination when available.

Get recordings by conference record ID

Retrieves recordings from Google Meet for a given conference record ID.

Get Smart Note

Get metadata for a Google Meet smart note generated by Take Notes with Gemini.

Get Transcript

Retrieves a specific transcript by its resource name.

Get Transcript Entry

Fetches a single transcript entry by resource name for targeted inspection or incremental processing.

Get transcripts by conference record ID

Lists a page of transcripts for a Google Meet conference record, with a continuation token when more results are available.

List Conference Records

Tool to list conference records.

List Members

List configured members of a Google Meet space, including their email and meeting role.

List Participants

Lists the participants in a conference record.

List Participant Sessions

Lists a page of participant sessions for a specific participant in a Google Meet conference, including session start and end times.

List Recordings

Tool to list recording resources from a conference record.

List Smart Notes

List metadata for smart notes generated by Take Notes with Gemini in a Google Meet conference.

List Transcript Entries

Tool to list structured transcript entries (speaker/time/text segments) for a specific Google Meet transcript.

Update Google Meet Member

Update an existing Google Meet space member's email or meeting role.

Update Google Meet Space

Updates the configuration of an existing Google Meet space, including access, moderation and artifact settings, using a supplied or automatically derived update mask.

FAQ

Frequently asked questions

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